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Sample records for psychopathic features functional

  1. Mental sets in conduct problem youth with psychopathic features: entity versus incremental theories of intelligence.

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    Salekin, Randall T; Lester, Whitney S; Sellers, Mary-Kate

    2012-08-01

    The purpose of the current study was to examine the effect of a motivational intervention on conduct problem youth with psychopathic features. Specifically, the current study examined conduct problem youths' mental set (or theory) regarding intelligence (entity vs. incremental) upon task performance. We assessed 36 juvenile offenders with psychopathic features and tested whether providing them with two different messages regarding intelligence would affect their functioning on a task related to academic performance. The study employed a MANOVA design with two motivational conditions and three outcomes including fluency, flexibility, and originality. Results showed that youth with psychopathic features who were given a message that intelligence grows over time, were more fluent and flexible than youth who were informed that intelligence is static. There were no significant differences between the groups in terms of originality. The implications of these findings are discussed including the possible benefits of interventions for adolescent offenders with conduct problems and psychopathic features. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

  2. Victimization and psychopathic features in a population-based sample of Finnish adolescents.

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    Saukkonen, Suvi; Aronen, Eeva T; Laajasalo, Taina; Salmi, Venla; Kivivuori, Janne; Jokela, Markus

    2016-10-01

    We examined different forms of victimization experiences in relation to psychopathic features and whether these associations differed in boys and girls among 4855 Finnish school adolescents aged 15-16 years. Psychopathic features were measured with the Antisocial Process Screening Device- Self Report (APSD-SR). Victimization was assessed with questions about violent and abusive experiences across lifetime and within the last 12 months. Results from linear regression analysis showed that victimization was significantly associated with higher APSD-SR total scores, more strongly in girls than boys. Recent (12-month) victimization showed significance in the relationship between victimization and psychopathic features; especially recent sexual abuse and parental corporal punishment were strong determinants of higher APSD-SR total scores. The present study demonstrates novel findings on how severe victimization experiences relate to psychopathic features in community youth, especially in girls. The findings underscore the need for comprehensive evaluation of victimization experiences when psychopathic features are present in youth. Copyright © 2016 Elsevier Ltd. All rights reserved.

  3. Weapon carrying and psychopathic-like features in a population-based sample of Finnish adolescents.

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    Saukkonen, Suvi; Laajasalo, Taina; Jokela, Markus; Kivivuori, Janne; Salmi, Venla; Aronen, Eeva T

    2016-02-01

    We investigated the prevalence of juvenile weapon carrying and psychosocial and personality-related risk factors for carrying different types of weapons in a nationally representative, population-based sample of Finnish adolescents. Specifically, we aimed to investigate psychopathic-like personality features as a risk factor for weapon carrying. The participants were 15-16-year-old adolescents from the Finnish self-report delinquency study (n = 4855). Four different groups were formed based on self-reported weapon carrying: no weapon carrying, carrying knife, gun or other weapon. The associations between psychosocial factors, psychopathic-like features and weapon carrying were examined with multinomial logistic regression analysis. 9% of the participants had carried a weapon in the past 12 months. Adolescents with a history of delinquency, victimization and antisocial friends were more likely to carry weapons in general; however, delinquency and victimization were most strongly related to gun carrying, while perceived peer delinquency (antisocial friends) was most strongly related to carrying a knife. Better academic performance was associated with a reduced likelihood of carrying a gun and knife, while feeling secure correlated with a reduced likelihood of gun carrying only. Psychopathic-like features were related to a higher likelihood of weapon carrying, even after adjusting for other risk factors. The findings of the study suggest that adolescents carrying a weapon have a large cluster of problems in their lives, which may vary based on the type of weapon carried. Furthermore, psychopathic-like features strongly relate to a higher risk of carrying a weapon.

  4. Are qualitative and quantitative sleep problems associated with delinquency when controlling for psychopathic features and parental supervision?

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    Backman, Heidi; Laajasalo, Taina; Saukkonen, Suvi; Salmi, Venla; Kivivuori, Janne; Aronen, Eeva T

    2015-10-01

    The aim of this study was to explore the relationship between sleep, including both qualitative and quantitative aspects, and delinquent behaviour while controlling for psychopathic features of adolescents and parental supervision at bedtime. We analysed data from a nationally representative sample of 4855 Finnish adolescents (mean age 15.3 years, 51% females). Sleep problems, hours of sleep and delinquency were evaluated via self-report. Psychopathic features were measured with the Antisocial Process Screening Device - Self-Report. In negative binomial regressions, gender and sleep-related variables acted as predictors for both property and violent crime after controlling for psychopathic features and parental supervision at bedtime. The results suggest that both sleep problems (at least three times per week, at least for a year) and an insufficient amount of sleep (less than 7 h) are associated with property crime and violent behaviour, and the relationship is not explained by gender, degree of parental supervision at bedtime or co-occurring psychopathic features. These results suggest that sleep difficulties and insufficient amount of sleep are associated with delinquent behaviour in adolescents. The significance of addressing sleep-related problems, both qualitative and quantitative, among adolescents is thus highlighted. Implications for a prevention technique of delinquent behaviour are discussed. © 2015 European Sleep Research Society.

  5. Developmental Trajectories of Marijuana Use among Men: Examining Linkages with Criminal Behavior and Psychopathic Features into the Mid-30s

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    Pardini, Dustin; Bechtold, Jordan; Loeber, Rolf; White, Helene

    2015-01-01

    Objectives Examine whether young men who chronically use marijuana are at risk for engaging in drug-related and non-drug-related criminal offending and exhibiting psychopathic personality features in their mid-30s. Methods Patterns of marijuana use were delineated in a sample of predominately Black and White young men from adolescence to the mid-20s using latent class growth curve analysis. Self-report and official records of criminal offending and psychopathic personality features were assessed in the mid-30s. Analyses controlled for multiple factors indicative of a preexisting antisocial lifestyle and co-occurring use of other substances and tested for moderation by race. Results Four latent marijuana trajectory groups were identified: chronic high, adolescence-limited, late increasing, and low/nonusers. Relative to low/nonusers, chronic high and late increasing marijuana users exhibited more adult psychopathic features and were more likely to engage in drug-related offending during their mid-30s. Adolescence-limited users were similar to low/nonusers in terms of psychopathic features but were more likely to be arrested for drug-related crimes. No trajectory group differences were found for violence or theft, and the group differences were not moderated by race. Conclusions Young men who engage in chronic marijuana use from adolescence into their 20s are at increased risk for exhibiting psychopathic features, dealing drugs, and enduring drug-related legal problems in their mid-30s relative to men who remain abstinent or use infrequently. PMID:26568641

  6. Alterations of Brain Functional Architecture Associated with Psychopathic Traits in Male Adolescents with Conduct Disorder

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    Pu, Weidan; Luo, Qiang; Jiang, Yali; Gao, Yidian; Ming, Qingsen; Yao, Shuqiao

    2017-01-01

    Psychopathic traits of conduct disorder (CD) have a core callous-unemotional (CU) component and an impulsive-antisocial component. Previous task-driven fMRI studies have suggested that psychopathic traits are associated with dysfunction of several brain areas involved in different cognitive functions (e.g., empathy, reward, and response inhibition etc.), but the relationship between psychopathic traits and intrinsic brain functional architecture has not yet been explored in CD. Using a holist...

  7. Spotting psychopaths using technology.

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    Hulbert, Sarah; Adeli, Hojjat

    2015-01-01

    For the past three and a half decades, the Psychopathy Checklist-Revised (PCL-R) and the self-report Psychopathic Personality Inventory-Revised (PPI-R) have been the standard measures for the diagnosis of psychopathy. Technological approaches can enhance these diagnostic methodologies. The purpose of this paper is to present a state-of-the-art review of various technological approaches for spotting psychopathy, such as electroencephalogram (EEG), magnetic resonance imaging (MRI), functional MRI (fMRI), transcranial magnetic stimulation (TMS), and other measures. Results of EEG event-related potential (ERP) experiments support the theory that impaired amygdala function may be responsible for abnormal fear processing in psychopathy, which can ultimately manifest as psychopathic traits, as outlined by the PCL-R or PPI-R. Imaging studies, in general, point to reduced fear processing capabilities in psychopathic individuals. While the human element, introduced through researcher/participant interactions, can be argued as unequivocally necessary for diagnosis, these purely objective technological approaches have proven to be useful in conjunction with the subjective interviewing and questionnaire methods for differentiating psychopaths from non-psychopaths. Furthermore, these technologies are more robust than behavioral measures, which have been shown to fail.

  8. Successful and unsuccessful psychopaths: a neurobiological model.

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    Gao, Yu; Raine, Adrian

    2010-01-01

    Despite increasing interest in psychopathy research, surprisingly little is known about the etiology of non-incarcerated, successful psychopaths. This review provides an analysis of current knowledge on the similarities and differences between successful and unsuccessful psychopaths derived from five population sources: community samples, individuals from employment agencies, college students, industrial psychopaths, and serial killers. An initial neurobiological model of successful and unsuccessful psychopathy is outlined. It is hypothesized that successful psychopaths have intact or enhanced neurobiological functioning that underlies their normal or even superior cognitive functioning, which in turn helps them to achieve their goals using more covert and nonviolent methods. In contrast, in unsuccessful, caught psychopaths, brain structural and functional impairments together with autonomic nervous system dysfunction are hypothesized to underlie cognitive and emotional deficits and more overt violent offending.

  9. Psychopathic Features Moderate the Relationship between Harsh and Inconsistent Parental Discipline and Adolescent Antisocial Behavior

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    Edens, John F.; Skopp, Nancy A.; Cahill, Melissa A.

    2008-01-01

    Although the quality of parenting predicts externalizing behavior problems generally, ineffective parenting may be less relevant to explaining the behavior problems of children high in callous-unemotional traits. This study tested the potential moderating role of psychopathic features among juvenile offenders (n = 76). Youths were administered the…

  10. Abnormal interhemispheric connectivity in male psychopathic offenders.

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    Hoppenbrouwers, Sylco S; De Jesus, Danilo R; Sun, Yinming; Stirpe, Tania; Hofman, Dennis; McMaster, Jeff; Hughes, Ginny; Daskalakis, Zafiris J; Schutter, Dennis J L G

    2014-01-01

    Psychopathic offenders inevitably violate interpersonal norms and frequently resort to aggressive and criminal behaviour. The affective and cognitive deficits underlying these behaviours have been linked to abnormalities in functional interhemispheric connectivity. However, direct neurophysiological evidence for dysfunctional connectivity in psychopathic offenders is lacking. We used transcranial magnetic stimulation combined with electroencephalography to examine interhemispheric connectivity in the dorsolateral and motor cortex in a sample of psychopathic offenders and healthy controls. We also measured intracortical inhibition and facilitation over the left and right motor cortex to investigate the effects of local cortical processes on interhemispheric connectivity. We enrolled 17 psychopathic offenders and 14 controls in our study. Global abnormalities in right to left functional connectivity were observed in psychopathic offenders compared with controls. Furthermore, in contrast to controls, psychopathic offenders showed increased intracortical inhibition in the right, but not the left, hemisphere. The relatively small sample size limited the sensitivity to show that the abnormalities in interhemispheric connectivity were specifically related to the dorsolateral prefrontal cortex in psychopathic offenders. To our knowledge, this study provides the first neurophysiological evidence for abnormal interhemispheric connectivity in psychopathic offenders and may further our understanding of the disruptive antisocial behaviour of these offenders.

  11. Social skills and psychopathic traits in maltreated adolescents.

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    Ometto, Mariella; de Oliveira, Paula Approbato; Milioni, Ana Luiza; Dos Santos, Bernardo; Scivoletto, Sandra; Busatto, Geraldo F; Nunes, Paula V; Cunha, Paulo Jannuzzi

    2016-04-01

    Child maltreatment has frequently been associated with impaired social skills and antisocial features, but there are still controversies about the effect of each type of maltreatment on social behaviour. The aim of this study was to compare the social functioning and psychopathic traits of maltreated adolescents (MTA) with a control group (CG) and to investigate what types of maltreatments and social skills were associated with psychopathic traits in both groups. The types and intensity of maltreatment were evaluated through the Childhood Trauma Questionnaire (CTQ) in 107 adolescents, divided into the MTA group (n = 66) and non-maltreated youths (n = 41), our CG. The Hare Psychopathy Checklist: Youth Version (PCL: YV) and a detailed inventory for evaluation of social skills in adolescents were also applied in all individuals. MTA presented more psychopathic traits than the CG, in all domains measured by PCL: YV, independently of IQ levels and the presence of psychiatric disorders. Interestingly, the groups did not differ significantly from each other on indicators of social skills. Multiple regression analysis revealed that emotional neglect was the only maltreatment subtype significantly associated with psychopathic traits, more specifically with the PCL: YV interpersonal factor (F1), and that some social skills (empathy, self-control and social confidence) were related to specific psychopathic factors. The results highlight that emotional neglect may be more detrimental to social behaviours than physical and sexual abuse, and that neglected children require more specific and careful attention.

  12. Psychopaths show enhanced amygdala activation during fear conditioning

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    Douglas eSchultz

    2016-03-01

    Full Text Available Psychopathy is a personality disorder characterized by emotional deficits and a failure to inhibit impulsive behavior and is often subdivided into primary and secondary psychopathic subtypes. The maladaptive behavior related to primary psychopathy is thought to reflect constitutional fearlessness, while the problematic behavior related to secondary psychopathy is motivated by other factors. The fearlessness observed in psychopathy has often been interpreted as reflecting a fundamental deficit in amygdala function, and previous studies have provided support for a low-fear model of psychopathy. However, many of these studies fail to use appropriate screening procedures, use liberal inclusion criteria, or have used unconventional approaches to assay amygdala function. We measured brain activity with BOLD imaging in primary and secondary psychopaths and non-psychopathic control subjects during Pavlovian fear conditioning. In contrast to the low-fear model, we observed normal fear expression in primary psychopaths. Psychopaths also displayed greater differential BOLD activity in the amygdala relative to matched controls. Inverse patterns of activity were observed in the anterior cingulate cortex (ACC for primary versus secondary psychopaths. Primary psychopaths exhibited a pattern of activity in the dorsal and ventral ACC consistent with enhanced fear expression, while secondary psychopaths exhibited a pattern of activity in these regions consistent with fear inhibition. These results contradict the low-fear model of psychopathy and suggest that the low fear observed for psychopaths in previous studies may be specific to secondary psychopaths.

  13. Alterations of Brain Functional Architecture Associated with Psychopathic Traits in Male Adolescents with Conduct Disorder.

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    Pu, Weidan; Luo, Qiang; Jiang, Yali; Gao, Yidian; Ming, Qingsen; Yao, Shuqiao

    2017-09-12

    Psychopathic traits of conduct disorder (CD) have a core callous-unemotional (CU) component and an impulsive-antisocial component. Previous task-driven fMRI studies have suggested that psychopathic traits are associated with dysfunction of several brain areas involved in different cognitive functions (e.g., empathy, reward, and response inhibition etc.), but the relationship between psychopathic traits and intrinsic brain functional architecture has not yet been explored in CD. Using a holistic brain-wide functional connectivity analysis, this study delineated the alterations in brain functional networks in patients with conduct disorder. Compared with matched healthy controls, we found decreased anti-synchronization between the fronto-parietal network (FPN) and default mode network (DMN), and increased intra-network synchronization within the frontothalamic-basal ganglia, right frontoparietal, and temporal/limbic/visual networks in CD patients. Correlation analysis showed that the weakened FPN-DMN interaction was associated with CU traits, while the heightened intra-network functional connectivity was related to impulsivity traits in CD patients. Our findings suggest that decoupling of cognitive control (FPN) with social understanding of others (DMN) is associated with the CU traits, and hyper-functions of the reward and motor inhibition systems elevate impulsiveness in CD.

  14. Functional Connectivity Bias in the Prefrontal Cortex of Psychopaths.

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    Contreras-Rodríguez, Oren; Pujol, Jesus; Batalla, Iolanda; Harrison, Ben J; Soriano-Mas, Carles; Deus, Joan; López-Solà, Marina; Macià, Dídac; Pera, Vanessa; Hernández-Ribas, Rosa; Pifarré, Josep; Menchón, José M; Cardoner, Narcís

    2015-11-01

    Psychopathy is characterized by a distinctive interpersonal style that combines callous-unemotional traits with inflexible and antisocial behavior. Traditional emotion-based perspectives link emotional impairment mostly to alterations in amygdala-ventromedial frontal circuits. However, these models alone cannot explain why individuals with psychopathy can regularly benefit from emotional information when placed on their focus of attention and why they are more resistant to interference from nonaffective contextual cues. The present study aimed to identify abnormal or distinctive functional links between and within emotional and cognitive brain systems in the psychopathic brain to characterize further the neural bases of psychopathy. High-resolution anatomic magnetic resonance imaging with a functional sequence acquired in the resting state was used to assess 22 subjects with psychopathy and 22 control subjects. Anatomic and functional connectivity alterations were investigated first using a whole-brain analysis. Brain regions showing overlapping anatomic and functional changes were examined further using seed-based functional connectivity mapping. Subjects with psychopathy showed gray matter reduction involving prefrontal cortex, paralimbic, and limbic structures. Anatomic changes overlapped with areas showing increased degree of functional connectivity at the medial-dorsal frontal cortex. Subsequent functional seed-based connectivity mapping revealed a pattern of reduced functional connectivity of prefrontal areas with limbic-paralimbic structures and enhanced connectivity within the dorsal frontal lobe in subjects with psychopathy. Our results suggest that a weakened link between emotional and cognitive domains in the psychopathic brain may combine with enhanced functional connections within frontal executive areas. The identified functional alterations are discussed in the context of potential contributors to the inflexible behavior displayed by individuals with

  15. Personality traits and violent behavior: a comparison between psychopathic and non-psychopathic male murderers.

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    de Pádua Serafim, Antonio; de Barros, Daniel Martins; Bonini Castellana, Gustavo; Gorenstein, Clarice

    2014-11-30

    The relationship between psychopathy and traits of temperament and character in a specific population of criminals, such as murderers, has not been sufficiently investigated. This study assesses the relationship between psychopathy and temperament and character traits in murderers. The sample consisted of 118 men divided into three groups: psychopathic murderers (N=40), non-psychopathic murderers (N=40) and 38 non-psychopathic non-criminals (controls). All individuals were evaluated by Psychopathy Checklist Revised (PCL-R) and The Temperament and Character Inventory (TCI). Psychopathic murderers presented higher scores than the other two groups in PCL-R; both criminal groups presented higher scores than non-psychopathic non-criminals. Psychopathic murderers showed lower scores than non-psychopathic murderers on Harm Avoidance, Reward Dependence, Persistence, Self-Directness and Cooperativeness. There was no difference between murderers groups regarding Novelty Seeking and Self-transcendence. In all TCI personality traits psychopathic and non-psychopathic murderers showed scores lower than controls, except Harm Avoidance for non-psychopathic murderers. In conclusion, most personality traits assessed by TCI were associated with psychopathy, while Novelty Seeking and Self-transcendence were associated with homicidal behavior independently of the psychopathy. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  16. Lower amygdala volume in men is associated with childhood aggression, early psychopathic traits, and future violence.

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    Pardini, Dustin A; Raine, Adrian; Erickson, Kirk; Loeber, Rolf

    2014-01-01

    Reduced amygdala volume has been implicated in the development of severe and persistent aggression and the development of psychopathic personality. With longitudinal data, the current study examined whether male subjects with lower amygdala volume have a history of aggression and psychopathic features dating back to childhood and are at increased risk for engaging in future aggression/violence. Participants were selected from a longitudinal study of 503 male subjects initially recruited when they were in the first grade in 1986-1987. At age 26, a subsample of 56 men with varying histories of violence was recruited for a neuroimaging substudy. Automated segmentation was used to index individual differences in amygdala volume. Analyses examined the association between amygdala volume and levels of aggression and psychopathic features of participants measured in childhood and adolescence. Analyses also examined whether amygdala volume was associated with violence and psychopathic traits assessed at a 3-year follow-up. Men with lower amygdala volume exhibited higher levels of aggression and psychopathic features from childhood to adulthood. Lower amygdala volume was also associated with aggression, violence, and psychopathic traits at a 3-year follow-up, even after controlling for earlier levels of these features. All effects remained after accounting for several potential confounds. This represents the first prospective study to demonstrate that men with lower amygdala volume have a longstanding history of aggression and psychopathic features and are at increased risk for committing future violence. Studies should further examine whether specific amygdala abnormalities might be a useful biomarker for severe and persistent aggression. Copyright © 2014 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

  17. Revisiting Lynam's notion of the "fledgling psychopath": are HIA-CP children truly psychopathic-like?

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    Michonski Jared D

    2010-09-01

    Full Text Available Abstract Background In his developmental model of emerging psychopathy, Lynam proposed that the "fledgling psychopath" is most likely to be located within a subgroup of children elevated in both hyperactivity/inattention/impulsivity (HIA and conduct problems (CP. This approach has garnered some empirical support. However, the extent to which Lynam's model captures children who resemble psychopathy with regard to the core affective and interpersonal features remains unclear. Methods In the present study, we investigated this issue within a large community sample of youth (N = 617. Four groups (non-HIA-CP, HIA-only, CP-only, and HIA-CP, defined on the basis of teacher reports of the Strengths and Difficulties Questionnaire (SDQ, were compared with respect to parent-reported psychopathic-like traits and subjective emotional reactivity in response to unpleasant, emotionally-laden pictures from the International Affective Pictures System (IAPS. Results Results did not support Lynam's model. HIA-CP children did not appear most psychopathic-like on dimensions of callous-unemotional and narcissistic personality, nor did they report reduced emotional reactivity to the IAPS relative to the other children. Post-hoc regression analyses revealed a significant moderation such that elevated HIA weakened the association between CP and emotional underarousal. Conclusions Implications of these findings with regard to the development of psychopathy are discussed.

  18. The moral bioenhancement of psychopaths.

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    Baccarini, Elvio; Malatesti, Luca

    2017-10-01

    We argue that the mandatory moral bioenhancement of psychopaths is justified as a prescription of social morality. Moral bioenhancement is legitimate when it is justified on the basis of the reasons of the recipients. Psychopaths expect and prefer that the agents with whom they interact do not have certain psychopathic traits. Particularly, they have reasons to require the moral bioenhancement of psychopaths with whom they must cooperate. By adopting a public reason and a Kantian argument, we conclude that we can justify to a psychopath being the recipient of mandatory moral bioenhancement because he has a reason to require the application of this prescription to other psychopaths. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  19. Brain Structural Correlates of Emotion Recognition in Psychopaths.

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    Vanessa Pera-Guardiola

    Full Text Available Individuals with psychopathy present deficits in the recognition of facial emotional expressions. However, the nature and extent of these alterations are not fully understood. Furthermore, available data on the functional neural correlates of emotional face recognition deficits in adult psychopaths have provided mixed results. In this context, emotional face morphing tasks may be suitable for clarifying mild and emotion-specific impairments in psychopaths. Likewise, studies exploring corresponding anatomical correlates may be useful for disentangling available neurofunctional evidence based on the alleged neurodevelopmental roots of psychopathic traits. We used Voxel-Based Morphometry and a morphed emotional face expression recognition task to evaluate the relationship between regional gray matter (GM volumes and facial emotion recognition deficits in male psychopaths. In comparison to male healthy controls, psychopaths showed deficits in the recognition of sad, happy and fear emotional expressions. In subsequent brain imaging analyses psychopaths with better recognition of facial emotional expressions showed higher volume in the prefrontal cortex (orbitofrontal, inferior frontal and dorsomedial prefrontal cortices, somatosensory cortex, anterior insula, cingulate cortex and the posterior lobe of the cerebellum. Amygdala and temporal lobe volumes contributed to better emotional face recognition in controls only. These findings provide evidence suggesting that variability in brain morphometry plays a role in accounting for psychopaths' impaired ability to recognize emotional face expressions, and may have implications for comprehensively characterizing the empathy and social cognition dysfunctions typically observed in this population of subjects.

  20. Selective Fair Behavior as a Function of Psychopathic Traits in a Subclinical Population

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    Takahiro Osumi

    2017-09-01

    Full Text Available Psychopathy is a group of personality traits that are associated with violations of social norms. Previous studies have suggested that people with psychopathic traits in subclinical populations do not necessarily display antisocial, self-defeating behaviors, and instead may strategically show adaptive behaviors in response to cues during reciprocal social interactions. Therefore, in the present study, we examined whether the association between psychopathic traits and unfair behavior can be moderated by a potential for punishment and social distance (anonymity, which are known to facilitate fair behavior. We focused on two psychopathic traits: primary and secondary psychopathy. Primary psychopathy is characterized by callousness, shallow affect, manipulation, and superficial charm. In contrast, secondary psychopathy is associated with impulsivity and lack of long-term goals, and is related to hostile behavior. A total of 348 undergraduate students determined the amounts of money that they would offer to strangers or friends at their university in hypothetical scenarios of the ultimatum game (UG and the dictator game (DG. While gender affected decisions in the hypothetical scenarios of the DG, it did not interact with psychopathic traits. The score for primary psychopathy on the Levenson self-report psychopathy scale predicted unfair monetary offers to strangers in the DG, where participants could not be punished. However, compared with their offers in the DG, individuals with higher scores for primary psychopathy made larger offers in the UG, where low offers could trigger punishment from the recipient. Moreover, primary psychopathy did not decrease the amounts of offers in either game when the participant considered the recipient to be a friend. On the other hand, secondary psychopathy was not associated with differences in behavioral fairness depending on a potential for punishment or social distance. Based on these findings, we discuss

  1. Are individuals with higher psychopathic traits better learners at lying? Behavioural and neural evidence.

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    Shao, R; Lee, T M C

    2017-07-25

    High psychopathy is characterized by untruthfulness and manipulativeness. However, existing evidence on higher propensity or capacity to lie among non-incarcerated high-psychopathic individuals is equivocal. Of particular importance, no research has investigated whether greater psychopathic tendency is associated with better 'trainability' of lying. An understanding of whether the neurobehavioral processes of lying are modifiable through practice offers significant theoretical and practical implications. By employing a longitudinal design involving university students with varying degrees of psychopathic traits, we successfully demonstrate that the performance speed of lying about face familiarity significantly improved following two sessions of practice, which occurred only among those with higher, but not lower, levels of psychopathic traits. Furthermore, this behavioural improvement associated with higher psychopathic tendency was predicted by a reduction in lying-related neural signals and by functional connectivity changes in the frontoparietal and cerebellum networks. Our findings provide novel and pivotal evidence suggesting that psychopathic traits are the key modulating factors of the plasticity of both behavioural and neural processes underpinning lying. These findings broadly support conceptualization of high-functioning individuals with higher psychopathic traits as having preserved, or arguably superior, functioning in neural networks implicated in cognitive executive processing, but deficiencies in affective neural processes, from a neuroplasticity perspective.

  2. Impaired functional but preserved structural connectivity in limbic white matter tracts in youth with conduct disorder or oppositional defiant disorder plus psychopathic traits.

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    Finger, Elizabeth Carrie; Marsh, Abigail; Blair, Karina Simone; Majestic, Catherine; Evangelou, Iordanis; Gupta, Karan; Schneider, Marguerite Reid; Sims, Courtney; Pope, Kayla; Fowler, Katherine; Sinclair, Stephen; Tovar-Moll, Fernanda; Pine, Daniel; Blair, Robert James

    2012-06-30

    Youths with conduct disorder or oppositional defiant disorder and psychopathic traits (CD/ODD+PT) are at high risk of adult antisocial behavior and psychopathy. Neuroimaging studies demonstrate functional abnormalities in orbitofrontal cortex and the amygdala in both youths and adults with psychopathic traits. Diffusion tensor imaging in psychopathic adults demonstrates disrupted structural connectivity between these regions (uncinate fasiculus). The current study examined whether functional neural abnormalities present in youths with CD/ODD+PT are associated with similar white matter abnormalities. Youths with CD/ODD+PT and comparison participants completed 3.0 T diffusion tensor scans and functional magnetic resonance imaging scans. Diffusion tensor imaging did not reveal disruption in structural connections within the uncinate fasiculus or other white matter tracts in youths with CD/ODD+PT, despite the demonstration of disrupted amygdala-prefrontal functional connectivity in these youths. These results suggest that disrupted amygdala-frontal white matter connectivity as measured by fractional anisotropy is less sensitive than imaging measurements of functional perturbations in youths with psychopathic traits. If white matter tracts are intact in youths with this disorder, childhood may provide a critical window for intervention and treatment, before significant structural brain abnormalities solidify. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  3. Impulsive-antisocial psychopathic traits linked to increased volume and functional connectivity within prefrontal cortex.

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    Korponay, Cole; Pujara, Maia; Deming, Philip; Philippi, Carissa; Decety, Jean; Kosson, David S; Kiehl, Kent A; Koenigs, Michael

    2017-07-01

    Psychopathy is a personality disorder characterized by callous lack of empathy, impulsive antisocial behavior, and criminal recidivism. Studies of brain structure and function in psychopathy have frequently identified abnormalities in the prefrontal cortex. However, findings have not yet converged to yield a clear relationship between specific subregions of prefrontal cortex and particular psychopathic traits. We performed a multimodal neuroimaging study of prefrontal cortex volume and functional connectivity in psychopathy, using a sample of adult male prison inmates (N = 124). We conducted volumetric analyses in prefrontal subregions, and subsequently assessed resting-state functional connectivity in areas where volume was related to psychopathy severity. We found that overall psychopathy severity and Factor 2 scores (which index the impulsive/antisocial traits of psychopathy) were associated with larger prefrontal subregion volumes, particularly in the medial orbitofrontal cortex and dorsolateral prefrontal cortex. Furthermore, Factor 2 scores were also positively correlated with functional connectivity between several areas of the prefrontal cortex. The results were not attributable to age, race, IQ, substance use history, or brain volume. Collectively, these findings provide evidence for co-localized increases in prefrontal cortex volume and intra-prefrontal functional connectivity in relation to impulsive/antisocial psychopathic traits. © The Author (2017). Published by Oxford University Press.

  4. Psychopathic Personality Traits Associated with Abnormal Selective Attention and Impaired Cognitive Control

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    Sadeh, Naomi; Verona, Edelyn

    2008-01-01

    The current study investigated how mechanisms of attention that have been well-characterized in the cognitive psychology literature (Lavie, Hirst, De Fockert, & Viding, 2004; Maylor & Lavie, 1998) may be differentially associated with psychopathic traits in non-incarcerated men. Previous research on cognition and psychopathy indicates that primary psychopathic traits are associated with over-focused attention and/or reduced processing of information peripheral to the focus of attention. Conversely, deficits in executive functioning, such as working memory and cognitive control, are implicated in secondary psychopathic traits. Results revealed a significant relationship between traits typically associated with primary psychopathy (e.g., low anxiety, social dominance, fearlessness, callousness) and reduced processing of task-irrelevant distractors, suggesting diminished basic attentional capacity among individuals high on these traits. In contrast, some characteristics linked to secondary psychopathy (e.g., social alienation, cynicism) showed a positive relationship with impaired working memory functioning, indicative of deficits in cognitive control, whereas other traits (i.e., self-centeredness, antagonism) did not. These results suggest that psychopathic traits are differentially related to selective impairments in attentional functioning, which may help explain the observed heterogeneity in psychopathic manifestations. PMID:18763886

  5. Psychopaths are impaired in social exchange and precautionary reasoning.

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    Ermer, Elsa; Kiehl, Kent A

    2010-10-01

    Psychopaths show a profound lack of morality and behavioral controls in the presence of intact general intellectual functioning. Two hallmarks of psychopathy are the persistent violation of social contracts (i.e., cheating) and chronic, impulsive risky behavior. These behaviors present a puzzle: Can psychopaths understand and reason about what counts as cheating or risky behavior in a particular situation? We tested incarcerated psychopaths' and incarcerated nonpsychopaths' reasoning about social contract rules, precautionary rules, and descriptive rules using the Wason selection task. Results were consistent with our hypotheses: Psychopaths (compared with matched nonpsychopaths) showed significant impairment on social contract rules and precautionary rules, but not on descriptive rules. These results cannot be accounted for by differences in intelligence, motivation, or general antisocial tendency. These findings suggest that examination of evolutionarily identified reasoning processes can be a fruitful research approach for identifying which specific mechanisms are impaired in psychopathy.

  6. Incentive Processing in Persistent Disruptive Behavior and Psychopathic Traits: A Functional Magnetic Resonance Imaging Study in Adolescents.

    Science.gov (United States)

    Cohn, Moran D; Veltman, Dick J; Pape, Louise E; van Lith, Koen; Vermeiren, Robert R J M; van den Brink, Wim; Doreleijers, Theo A H; Popma, Arne

    2015-11-01

    Children with early-onset disruptive behavior disorder (DBD), especially those with callous-unemotional traits, are at risk of developing persistent and severe adult antisocial behavior. One possible underlying mechanism for persistence is deficient reward and loss sensitivity, i.e., deficient incentive processing. However, little is known about the relation between deficient incentive processing and persistence of antisocial behavior into adulthood or its relation with callous-unemotional and other psychopathic traits. In this study, we investigate the relationship between the neural correlates of incentive processing and both DBD persistence and psychopathic traits. In a sample of 128 adolescents (mean age 17.7) with a history of criminal offending before age 12, functional magnetic resonance imaging was performed during a monetary incentive delay task designed to assess neural responses during incentive processing. Neural activation during incentive processing was then associated with DBD persistence and psychopathic traits, measured with the Youth Psychopathic Traits Inventory. Compared with both healthy control subjects and youths who had desisted from DBD, persistent DBD subjects showed lower neural responses in the ventral striatum during reward outcomes and higher neural responses in the amygdala during loss outcomes. Callous-unemotional traits were related to lower neural responses in the amygdala during reward outcomes, while other psychopathic traits were not related to incentive processing. In the current study, aberrant incentive processing is related to persistence of childhood antisocial behavior into late adolescence and to callous-unemotional traits. This mechanism may underlie treatment resistance in a subgroup of antisocial youth and provide a target for intervention. Copyright © 2015 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

  7. The inverse relation between psychopathy and faking good: Not response bias but true variance in psychopathic personality

    NARCIS (Netherlands)

    Verschuere, B.; Uzieblo, K.; De Schryver, M.; Douma, H.; Onraedt, T.; Crombez, G.

    2014-01-01

    The possibility to assess psychopathy through self-report is debated, amongst others, because psychopathic individuals may deliberately underreport psychopathic features (fake good). Meta-analytic research has shown an inverse relation between faking good and self-reported psychopathy, possibly

  8. Cardiac response and anxiety levels in psychopathic murderers

    OpenAIRE

    Serafim,Antonio de Pádua; Barros,Daniel Martins de; Valim,André; Gorenstein,Clarice

    2009-01-01

    OBJECTIVE: To compare the emotional response and level of anxiety of psychopathic murderers, non-psychopathic murderers, and nonpsychopathic non-criminals. METHOD: 110 male individuals aged over 18 years were divided into three groups: psychopathic murderers (n = 38); non-psychopathic murderers (n = 37) serving sentences for murder convictions in Maximum Security Prisons in the State of Sao Paulo; and non-criminal, non-psychopathic individuals (n = 35) according to the Psychopathy Checklist-R...

  9. Cardiac response and anxiety levels in psychopathic murderers.

    Science.gov (United States)

    Serafim, Antonio de Pádua; Barros, Daniel Martins de; Valim, André; Gorenstein, Clarice

    2009-09-01

    To compare the emotional response and level of anxiety of psychopathic murderers, non-psychopathic murderers, and nonpsychopathic non-criminals. 110 male individuals aged over 18 years were divided into three groups: psychopathic murderers (n = 38); non-psychopathic murderers (n = 37) serving sentences for murder convictions in Maximum Security Prisons in the State of Sao Paulo; and non-criminal, non-psychopathic individuals (n = 35) according to the Psychopathy Checklist-Revised. The emotional response of subjects was assessed by heart rate variation and anxiety level (State-Trait Anxiety Inventory) after viewing standardized pictures depicting pleasant, unpleasant and neutral content from the International Affective Picture System. Psychopathic murderers presented lower anxiety levels and smaller heart rate variations when exposed to pleasant and unpleasant stimuli than nonpsychopathic murderers or non-psychopathic non-criminals. The results also demonstrated that the higher the score for factor 1 on the Psychopathy Checklist-Revised, the lower the heart rate variation and anxiety level. The results suggest that psychopathic murderers do not present variation in emotional response to different visual stimuli. Although the non-psychopathic murderers had committed the same type of crime as the psychopathic murderers, the former tended to respond with a higher level of anxiety and heart rate variation.

  10. Correlates of Psychopathic Personality Traits in Everyday Life:Results from a Large Community Survey

    Directory of Open Access Journals (Sweden)

    Scott O Lilienfeld

    2014-07-01

    Full Text Available Although the traits of psychopathic personality (psychopathy have received extensive attention from researchers in forensic psychology, psychopathology, and personality psychology, the relations of these traits to aspects of everyday functioning are poorly understood. Using a large internet survey of members of the general population (N=3398, we examined the association between psychopathic traits, as measured by a brief but well-validated self-report measure, and occupational choice, political orientation, religious affiliation, and geographical residence. Psychopathic traits, especially those linked to fearless dominance, were positively and moderately associated with holding leadership and management positions, as well as high-risk occupations. In addition, psychopathic traits were positively associated with political conservatism, lack of belief in God, and living in Europe as opposed to the United States, although the magnitudes of these statistical effects were generally small in magnitude. Our findings offer preliminary evidence that psychopathic personality traits display meaningful response penetration into daily functioning, and raise provocative questions for future research.

  11. Auditors' Experience with Corporate Psychopaths

    DEFF Research Database (Denmark)

    Klarskov Jeppesen, Kim; Leder, Christina

    2016-01-01

    Purpose: The purpose of this paper is to analyse auditors’ experience with corporate psychopaths in their client management. Design/methodology/approach: The research was conducted as a survey among Danish state-authorized auditors, to which 179 auditors responded, representing 9% of the total...... population. Findings: Of the participating auditors, 69% had experienced corporate psychopaths in their client management and 70% of these had experienced more than one case. In addition, 43% of the auditors who had experienced psychopathic managers reported that they had committed fraud. The vast majority...... of cases were detected in the execution and completion phases of the audit and resulted in increased professional scepticism, the use of more experienced auditors and the requirement for more and better audit evidence. Research limitations/implications: The findings confirm that corporate psychopaths...

  12. Psychopathic traits modulate brain responses to drug cues in incarcerated offenders

    Directory of Open Access Journals (Sweden)

    Lora M Cope

    2014-02-01

    Full Text Available Recent neuroscientific evidence indicates that psychopathy is associated with abnormal function and structure in limbic and paralimbic areas. Psychopathy and substance use disorders are highly comorbid, but clinical experience suggests that psychopaths abuse drugs for different reasons than non-psychopaths, and that psychopaths do not typically experience withdrawal and craving upon becoming incarcerated. These neurobiological abnormalities may be related to psychopaths’ different motivations for – and symptoms of – drug use. This study examined the modulatory effect of psychopathic traits on the neurobiological craving response to pictorial drug stimuli. Drug-related pictures and neutral pictures were presented and rated by participants while hemodynamic activity was monitored using functional magnetic resonance imaging. These data were collected at two correctional facilities in New Mexico using the Mind Research Network mobile magnetic resonance imaging system. The sample comprised 137 incarcerated adult males and females (93 females with histories of substance dependence. The outcome of interest was the relation between psychopathy scores (using the Hare Psychopathy Checklist-Revised and hemodynamic activity associated with viewing drug-related pictures versus neutral pictures. There was a negative association between psychopathy scores and hemodynamic activity for viewing drug-related cues in the anterior cingulate, posterior cingulate, hippocampus, amygdala, caudate, globus pallidus, and parts of the prefrontal cortex. Psychopathic traits modulate the neurobiological craving response and suggest that individual differences are important for understanding and treating substance abuse.

  13. In psychopathic patients emotion attribution modulates activity in outcome-related brain areas.

    Science.gov (United States)

    Sommer, Monika; Sodian, Beate; Döhnel, Katrin; Schwerdtner, Johannes; Meinhardt, Jörg; Hajak, Göran

    2010-05-30

    The understanding that other people's emotional states depend on the fulfilment of their intention is fundamentally important for responding adequately to others. Psychopathic patients show severe deficits in responding adequately to other people's emotion. The present study explored whether these impairments are associated with deficits in the ability to infer others' emotional states. Using functional magnetic resonance imaging (fMRI), identical cartoon stories, depicting a subject whose intention was fulfilled or not fulfilled, were presented to 14 psychopathic patients and 14 non-psychopathic patients. The participants should indicate the protagonist's emotional state. Additionally, a non-mentalizing control condition was presented. The two groups showed no behavioural differences. But in non-psychopathic patients emotion attribution was associated with increased activity of the mirror neuron system, the bilateral supramarginal gyrus and the superior frontal gyrus. In contrast psychopathic patients showed increased activation of regions associated with outcome monitoring and attention, such as the orbitofrontal cortex, the medial frontal cortex and temporo-parietal areas. The results emphasize that although psychopathic patients show no deficits in reasoning about other people's emotion if an explicit evaluation is demanded, they use divergent neural processing strategies that are related to more rational, outcome-oriented processes. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

  14. Amygdala dysfunction attenuates frustration-induced aggression in psychopathic individuals in a non-criminal population.

    Science.gov (United States)

    Osumi, Takahiro; Nakao, Takashi; Kasuya, Yukinori; Shinoda, Jun; Yamada, Jitsuhiro; Ohira, Hideki

    2012-12-15

    Individuals with psychopathy have an increased tendency toward certain types of aggression. We hypothesized that successful psychopaths, who have no criminal convictions but can be diagnosed with psychopathy in terms of personality characteristics, are skilled at regulating aggressive impulses, compared to incarcerated unsuccessful psychopaths. In this block-designed functional magnetic resonance imaging (fMRI) study, we sought to clarify the neural mechanisms underlying differences in frustration-induced aggression as a function of psychopathy in non-criminal populations. Twenty male undergraduate students who completed a self-report psychopathy questionnaire were scanned while they completed a task in which they either could or could not punish other individuals who made unfair offers of monetary distribution. Individuals with high psychopathic tendencies were less likely to make a decision to inflict costly punishment on people proposing unfair offers. During this decision-making, psychopathy was associated with less amygdala activity in response to the unfairness of offers. Moreover, the amygdala dysfunction in psychopathic individuals was associated with reduced functional connectivity with dopaminergic-related areas, including the striatum, when punishment was available compared to when it was unavailable. The possibility that levels of psychopathic traits in a regular population were milder than in incarcerated populations cannot be ruled out. The findings indicate that amygdala dysfunction underlies affective deficits of psychopathy. We propose that the insensitivity of the amygdala to the affective significance of social stimuli contributes to an increased risk of violation of social norms, but enhances the ability to attenuate impulses toward maladaptive aggression in successful psychopaths. Copyright © 2012 Elsevier B.V. All rights reserved.

  15. Moral Understanding in the Psychopath*

    Science.gov (United States)

    Malatesti, Luca

    2010-01-01

    A pressing and difficult practical problem concerns the general issue of the right social response to offenders classified as having antisocial personality disorder. This paper approaches this general problem by focusing, from a philosophical perspective, on the still relevant but more approachable question whether psychopathic offenders are morally responsible. In particular, I investigate whether psychopaths possess moral understanding. A plausible way to approach the last question requires a satisfactory philosophical interpretation of the empirical evidence that appears to show that psychopaths fail to draw the distinction between conventional and moral norms. Specifically, I will consider a recent philosophical debate polarized between supporters of rationalist and sentimentalist accounts of moral understanding. These opponents have discussed whether the case of psychopathy offers empirical support for their account and undermine the rival view. I will argue that the available empirical data leave the outcome of this discussion indeterminate. However, this implies that both these principal theories of moral understanding, if independently motivated, would imply that psychopaths have certain deficits that might affect their moral understanding and, consequently, their moral responsibility. PMID:21151766

  16. Unique roles of antisocial personality disorder and psychopathic traits in distress tolerance.

    Science.gov (United States)

    Sargeant, Marsha N; Daughters, Stacey B; Curtin, John J; Schuster, Randi; Lejuez, C W

    2011-11-01

    Previous research indicates that individuals with antisocial personality disorder (ASPD) evidence low distress tolerance, which signifies impaired ability to persist in goal-directed behavior during an aversive situation, and is associated with a variety of poor interpersonal and drug use outcomes. Based on theory and research indicating that psychopathic traits are associated with hypo-reactivity in emotional responding, a unique hypothesis emerges where psychopathic traits should have the opposite effect of ASPD and be related to high levels of distress tolerance. In a sample of 107 substance-dependent patients in an inner-city substance use residential treatment facility, this hypothesis was supported. ASPD was related to lower distress tolerance, while psychopathic traits were related to higher distress tolerance, with each contributing unique variance. Findings are discussed in relation to different presentations of distress tolerance as a function of psychopathic traits among those with an ASPD diagnosis.

  17. Electrophysiology of blunted emotional bias in psychopathic personality.

    Science.gov (United States)

    Carolan, Patrick L; Jaspers-Fayer, Fern; Asmaro, Deyar T; Douglas, Kevin S; Liotti, Mario

    2014-01-01

    Diminished emotional capacity is a core characteristic of psychopathic personality. We examined behavioral and electrophysiological differences in attentional bias to emotional material in 34 healthy individuals rated high or low in psychopathic traits using the short form of the Psychopathic Personality Inventory-Revised (18 high-trait, 16 low-trait). While performing an emotional Stroop task, high-trait participants displayed reduced emotional modulation of the late positive potential (LPP, 400-600 ms), and early anterior positivity (EAP, 200-300 ms) amplitudes. Results suggest blunted bias to affective content in psychopathic personality, characterized by diminished early capture to emotional salience (EAP) and dampened cognitive emotional processing (LPP). Copyright © 2013 Society for Psychophysiological Research.

  18. Psychopathic traits, victim distress and aggression in children

    NARCIS (Netherlands)

    van Baardewijk, Y.; Stegge, G.T.M.; Bushman, B.J.; Vermeiren, R.R.J.M.

    2009-01-01

    Background: The relationship between psychopathic traits and aggression in children may be explained by their reduced sensitivity to signs of distress in others. Emotional cues such as fear and sadness function to make the perpetrator aware of the victim's distress and supposedly inhibit aggression.

  19. Psychopathic traits from an RDoC perspective.

    Science.gov (United States)

    Blair, R J R

    2015-02-01

    In this review an RDoC approach is applied to psychopathic traits. Two core neuro-cognitive systems relevant to the emergence of psychopathic traits are considered. These are the response to other individuals' emotional displays and reinforcement-based decision-making. Published by Elsevier Ltd.

  20. Psychopaths know right from wrong but don’t care

    Science.gov (United States)

    Tonnaer, Franca; Hauser, Marc D.

    2010-01-01

    Adult psychopaths have deficits in emotional processing and inhibitory control, engage in morally inappropriate behavior, and generally fail to distinguish moral from conventional violations. These observations, together with a dominant tradition in the discipline which sees emotional processes as causally necessary for moral judgment, have led to the conclusion that psychopaths lack an understanding of moral rights and wrongs. We test an alternative explanation: psychopaths have normal understanding of right and wrong, but abnormal regulation of morally appropriate behavior. We presented psychopaths with moral dilemmas, contrasting their judgments with age- and sex-matched (i) healthy subjects and (ii) non-psychopathic, delinquents. Subjects in each group judged cases of personal harms (i.e. requiring physical contact) as less permissible than impersonal harms, even though both types of harms led to utilitarian gains. Importantly, however, psychopaths’ pattern of judgments on different dilemmas was the same as those of the other subjects. These results force a rejection of the strong hypothesis that emotional processes are causally necessary for judgments of moral dilemmas, suggesting instead that psychopaths understand the distinction between right and wrong, but do not care about such knowledge, or the consequences that ensue from their morally inappropriate behavior. PMID:20053752

  1. QEEG and LORETA in Teenagers With Conduct Disorder and Psychopathic Traits.

    Science.gov (United States)

    Calzada-Reyes, Ana; Alvarez-Amador, Alfredo; Galán-García, Lídice; Valdés-Sosa, Mitchell

    2017-05-01

    Few studies have investigated the impact of the psychopathic traits on the EEG of teenagers with conduct disorder (CD). To date, there is no other research studying low-resolution brain electromagnetic tomography (LORETA) technique using quantitative EEG (QEEG) analysis in adolescents with CD and psychopathic traits. To find electrophysiological differences specifically related to the psychopathic traits. The current investigation compares the QEEG and the current source density measures between adolescents with CD and psychopathic traits and adolescents with CD without psychopathic traits. The resting EEG activity and LORETA for the EEG fast spectral bands were evaluated in 42 teenagers with CD, 25 with and 17 without psychopathic traits according to the Antisocial Process Screening Device. All adolescents were assessed using the DSM-IV-TR criteria. The EEG visual inspection characteristics and the use of frequency domain quantitative analysis techniques (narrow band spectral parameters) are described. QEEG analysis showed a pattern of beta activity excess on the bilateral frontal-temporal regions and decreases of alpha band power on the left central-temporal and right frontal-central-temporal regions in the psychopathic traits group. Current source density calculated at 17.18 Hz showed an increase within fronto-temporo-striatal regions in the psychopathic relative to the nonpsychopathic traits group. These findings indicate that QEEG analysis and techniques of source localization may reveal differences in brain electrical activity among teenagers with CD and psychopathic traits, which was not obvious to visual inspection. Taken together, these results suggest that abnormalities in a fronto-temporo-striatal network play a relevant role in the neurobiological basis of psychopathic behavior.

  2. Development and tests of short versions of the Youth Psychopathic traits Inventory and the Youth Psychopathic traits Inventory-Child Version

    NARCIS (Netherlands)

    van Baardewijk, Y.; Andershed, H.; Stegge, G.T.M.; Nilsson, K.W.; Scholte, E.; Vermeiren, R.R.J.M.

    2010-01-01

    The adolescent Youth Psychopathic Traits Inventory (YPI) and its child version (YPI-CV) are sound but lengthy instruments for measuring psychopathic traits in youths. The current study develops psychometrically strong short versions of these instruments. Samples used for item reduction were

  3. Characteristics and consequences of psychopathic domestic violence

    Directory of Open Access Journals (Sweden)

    Radulović Danka M.

    2005-01-01

    Full Text Available Domestic violence is a problem to which more attention is paid today. However, in its theoretical consideration, as well as in practical reaction, one must not lose sight of characteristics of domestic violence of one, rather numerous category of perpetrators who have psychopathic structure of personality. Domestic violence which offenders are psychopaths must be treated very carefully, because each mistake in intervention can cause much bigger damage to the victim than absence of reaction at all. Due to that, before any intervention, it would be necessary to make a diagnosis on whether the perpetrator has psychopathic structure of personality or not.

  4. Corporate Psychopaths: They exist and degrade the organizational climate

    Directory of Open Access Journals (Sweden)

    João Batista Turrioni

    2016-07-01

    Full Text Available Abstract: This Article discusses the corporate psychopath subject, a term that refers to psychopaths of performance in the workplace. The research is justified by the need for organizations to maintain positive organizational climate in the pursuit of productivity and competitiveness. Research indicates that after the judicial prisons and asylums is within organizations that these personalities cause enormous damage. The study aims to identify the action of corporate psychopath within organizations and its consequences to the organizational climate. To this end it carried out a literature review and a quantitative research with employees of public and private companies. It was observed that these personalities exist within organizations, are identified by colleagues and actually cause inconvenience and loss to businesses. It is the management of people trying to prevent their entry in the companies or developing a strong organizational culture that becomes a barrier to the operation of these personalities. Keywords: Psychopath, Corporate Psychopath, Climate Organizational, People Management

  5. No skin off my back: retribution deficits in psychopathic motives for punishment.

    Science.gov (United States)

    Aharoni, Eyal; Weintraub, Lisa L; Fridlund, Alan J

    2007-01-01

    When deciding a criminal's punishment, people typically exhibit both retributive and consequentialist motives in their decision making, though retribution's role may be stronger. This study aimed to discern possible functions of retribution by examining a population predicted to be deficient in retributive drive. Participants who rated either high or low in psychopathic traits read stories about a homicide. These stories were designed to evoke both retribution and the consequentialist motive of behavior control by varying, respectively, criminal intent and likelihood of recidivism. The participants then recommended a length of confinement for the offender. Individuals high in psychopathic traits were uniquely insensitive to retributive cues, and they were particularly consequentialist in their punishment of criminal offenders. These results clarify aspects of psychopathic aggression and corroborate the hypothesis that retribution may stabilize cooperative behavior. Copyright (c) 2007 John Wiley & Sons, Ltd.

  6. Neural processing of moral violations among incarcerated adolescents with psychopathic traits

    Directory of Open Access Journals (Sweden)

    Carla L. Harenski

    2014-10-01

    Full Text Available Neuroimaging studies have found that adult male psychopaths show reduced engagement of limbic and paralimbic circuitry while making moral judgments. The goal of this study was to investigate whether these findings extend to adolescent males with psychopathic traits. Functional MRI was used to record hemodynamic activity in 111 incarcerated male adolescents while they viewed unpleasant pictures that did or did not depict moral transgressions and rated each on “moral violation severity”. Adolescents were assessed for psychopathic traits using the Psychopathy Checklist-Youth Version (PCL-YV, Kiddie Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (KSADS-PL Conduct Disorder supplement, and Inventory of Callous and Unemotional Traits-Youth Version (ICU-Y. While viewing pictures depicting moral transgressions, CD scores were negatively correlated with hemodynamic responses in the anterior temporal cortex. Adolescents scoring low on the ICU-Y showed a positive correlation between right amygdala responses and severity of violation ratings; those with high ICU-Y scores showed a negative correlation. While viewing unpleasant pictures with and without moral transgressions, PCL-YV scores were negatively correlated with hemodynamic responses in the left amygdala. Overall, the results are consistent with those previously found in adult male psychopaths, but vary depending on the type of psychopathy assessment.

  7. Child Psychopathic Traits Moderate Relationships between Parental Affect and Child Aggression

    Science.gov (United States)

    Yeh, Michelle T.; Chen, Pan; Raine, Adrian; Baker, Laura A.; Jacobson, Kristen C.

    2011-01-01

    Objective: Previous studies show that children with psychopathic traits may be less responsive to parenting. Although harsh/inconsistent parenting is associated with increased problem behaviors in children low on psychopathic traits, children high on psychopathic traits show consistently high levels of problem behavior regardless of negative…

  8. Capacity for Empathy and Emotional Contagion in Those With Psychopathic Personalities

    Directory of Open Access Journals (Sweden)

    Cherie Luckhurst

    2017-10-01

    Full Text Available People with psychopathic traits are sometimes adept at recognizing the emotions of others and using this knowledge in anti-social ways. However, data from incarcerated psychopaths suggest that they are incapable of true empathy. In this paper, we describe three studies that link psychopathic personality to emotional contagion and empathy, and we offer suggestions for reconciling the seemingly conflicting data. While most studies of psychopathic personality assess incarcerated respondents, the resulting data may not be generalizable to non-criminals; participants in these studies were recruited from the general population. The research confirms that empathy and emotional contagion are positively correlated and that each is negatively correlated with psychopathy, as expected. Unique to these studies is the finding that, when instructed, those with psychopathic traits can easily “catch” the emotions of others via the steps of the emotional contagion pathway, thus implying their capacity for empathy. However, without instruction, those with psychopathic traits did not automatically catch others’ emotions.

  9. Neural processing of moral violations among incarcerated adolescents with psychopathic traits.

    Science.gov (United States)

    Harenski, Carla L; Harenski, Keith A; Kiehl, Kent A

    2014-10-01

    Neuroimaging studies have found that adult male psychopaths show reduced engagement of limbic and paralimbic circuitry while making moral judgments. The goal of this study was to investigate whether these findings extend to adolescent males with psychopathic traits. Functional MRI was used to record hemodynamic activity in 111 incarcerated male adolescents while they viewed unpleasant pictures that did or did not depict moral transgressions and rated each on "moral violation severity". Adolescents were assessed for psychopathic traits using the Psychopathy Checklist-Youth Version (PCL-YV), Kiddie Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (KSADS-PL) Conduct Disorder supplement, and Inventory of Callous and Unemotional Traits-Youth Version (ICU-Y). While viewing pictures depicting moral transgressions, CD scores were negatively correlated with hemodynamic responses in the anterior temporal cortex. Adolescents scoring low on the ICU-Y showed a positive correlation between right amygdala responses and severity of violation ratings; those with high ICU-Y scores showed a negative correlation. While viewing unpleasant pictures with and without moral transgressions, PCL-YV scores were negatively correlated with hemodynamic responses in the left amygdala. Overall, the results are consistent with those previously found in adult male psychopaths, but vary depending on the type of psychopathy assessment. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

  10. Psychopathy and interests: Implications of psychopathic personality traits for vocational and avocational preferences.

    Science.gov (United States)

    Nagel, Madeline G; Watts, Ashley L; Murphy, Brett A; Lilienfeld, Scott O

    2018-06-21

    General personality traits and interests, both vocational and avocational, have long been considered intertwined constructs. Nevertheless, the linkages between personality disorder features, such as psychopathy, and interests are poorly understood. This study bridges this gap by examining how psychopathic traits relate to vocational and avocational interests, and to what extent these associations are distinctive to psychopathy as opposed to a broader pattern of general and abnormal personality traits. In a sample of 426 community participants, Psychopathic Personality Inventory-Revised Fearless Dominance features of psychopathy were associated with interest in a broad swath of vocational and avocational interests, whereas Self-Centered Impulsivity features were associated with realistic, artistic, enterprising, and conventional interests; most zero-order associations were in the small to medium range. Coldheartedness and the factors derived from the Levenson Self-Report Psychopathy Scale were largely unrelated to interests, although there were several notable exceptions. Narcissistic traits, as well as HEXACO (Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness) Honesty-Humility, Extraversion, and Openness to Experience, were also related broadly to interests. The patterns of interests associated with personality disorder traits may ultimately bear practical implications for interventions as individuals seek out positions or hobbies that suit their traits. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  11. Empathic Responsiveness in Amygdala and Anterior Cingulate Cortex in Youths with Psychopathic Traits

    Science.gov (United States)

    Marsh, Abigail A.; Finger, Elizabeth C.; Fowler, Katherine A.; Adalio, Christopher J.; Jurkowitz, Ilana T. N.; Schechter, Julia C.; Pine, Daniel S.; Decety, Jean; Blair, R. J. R.

    2013-01-01

    Background: Psychopathic traits are associated with increases in antisocial behaviors such as aggression and are characterized by reduced empathy for others' distress. This suggests that psychopathic traits may also impair empathic pain sensitivity. However, whether psychopathic traits affect responses to the pain of others versus the self…

  12. Examining the effect of psychopathic traits on gray matter volume in a community substance abuse sample.

    Science.gov (United States)

    Cope, Lora M; Shane, Matthew S; Segall, Judith M; Nyalakanti, Prashanth K; Stevens, Michael C; Pearlson, Godfrey D; Calhoun, Vince D; Kiehl, Kent A

    2012-11-30

    Psychopathy is believed to be associated with brain abnormalities in both paralimbic (i.e., orbitofrontal cortex, insula, temporal pole, parahippocampal gyrus, posterior cingulate) and limbic (i.e., amygdala, hippocampus, anterior cingulate) regions. Recent structural imaging studies in both community and prison samples are beginning to support this view. Sixty-six participants, recruited from community corrections centers, were administered the Hare psychopathy checklist-revised (PCL-R), and underwent magnetic resonance imaging (MRI). Voxel-based morphometry was used to test the hypothesis that psychopathic traits would be associated with gray matter reductions in limbic and paralimbic regions. Effects of lifetime drug and alcohol use on gray matter volume were covaried. Psychopathic traits were negatively associated with gray matter volumes in right insula and right hippocampus. Additionally, psychopathic traits were positively associated with gray matter volumes in bilateral orbital frontal cortex and right anterior cingulate. Exploratory regression analyses indicated that gray matter volumes within right hippocampus and left orbital frontal cortex combined to explain 21.8% of the variance in psychopathy scores. These results support the notion that psychopathic traits are associated with abnormal limbic and paralimbic gray matter volume. Furthermore, gray matter increases in areas shown to be functionally impaired suggest that the structure-function relationship may be more nuanced than previously thought. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  13. Ringleader bullying: association with psychopathic narcissism and theory of mind among child psychiatric inpatients.

    Science.gov (United States)

    Stellwagen, Kurt K; Kerig, Patricia K

    2013-10-01

    This study examined the association of ringleader bullying with psychopathic traits and theory of mind among 100 youth aged 10-15 (62 boys and 38 girls) receiving inpatient psychiatric services at a state facility. Results of hierarchical multiple regression analyses indicated a positive association between ringleader bullying and psychopathic narcissism, and a significant interaction effect between narcissism and theory of mind. More specifically, narcissism moderated the relationship between theory of mind and ringleader bullying such that theory of mind was positively associated with ringleader bullying when levels of narcissism were high, and theory of mind was negatively associated ringleader bullying when levels of narcissism were low. The discussion of these results focuses on the importance of developing effective treatment techniques for youth whose bullying behavior is associated with narcissistic features and social acuity.

  14. ERPs on a continuous performance task and self-reported psychopathic traits: P3 and CNV augmentation are associated with Fearless Dominance.

    Science.gov (United States)

    Carlson, Scott R; Thái, Stephanie

    2010-10-01

    Both augmented and reduced P3 amplitude have been associated with psychopathic personality. The Two Process Theory (TPT) suggests that there are two etiologically distinct traits underling psychopathy. One of these traits appears to be related to enhanced attention engagement and reduced anxiety. The other is related to impulsivity, social deviance and poor executive function. P3 is a multi-determined component indexing attention and working memory processes related to executive function. As such, we hypothesized that dissociable relationships would exist between these two dimensions and P3. We recorded P3 and the Contingent Negative Variation (CNV), an ERP response shown to be augmented in psychopaths, during an expectancy AX-continuous performance task from 60 undergraduates. We administered the Psychopathic Personality Inventory (PPI). One factor of the PPI, Fearless Dominance, was related to the dimension of the TPT predicted to reflect relatively better executive function. We found that Fearless Dominance was uniquely associated with P3 augmentation. More negative CNV and faster reaction time were also specifically related to Fearless Dominance. These results illustrate the need to examine the differential relationships between psychopathic traits and P3 amplitude. Copyright © 2010 Elsevier B.V. All rights reserved.

  15. Disrupted Reinforcement Signaling in Orbital Frontal Cortex and Caudate in Youths with Conduct Disorder/Oppositional Defiant Disorder and High Psychopathic Traits

    Science.gov (United States)

    Finger, Elizabeth C.; Marsh, Abigail A.; Blair, Karina S.; Reid, Marguerite. E.; Sims, Courtney; Ng, Pamela; Pine, Daniel S.; Blair, R. James. R.

    2010-01-01

    OBJECTIVE Dysfunction in amygdala and orbital frontal cortex functioning has been reported in youths and adults with psychopathic traits. However, the specific nature of the computational irregularities within these brain structures remains poorly understood. The current study used the passive avoidance task to examine responsiveness of these systems to early stimulus-reinforcement exposure, when prediction errors are greatest and learning maximized, and to reward in youths with psychopathic traits and comparison youths. METHOD 30 youths (N=15 with conduct disorder or oppositional defiant disorder plus high psychopathic traits and N=15 comparison subjects) completed a 3.0 T fMRI scan while performing a passive avoidance learning task. RESULTS Relative to comparison youth, youths with conduct disorder or oppositional defiant disorder plus psychopathic traits showed reduced orbitofrontal cortex responsiveness both to early stimulus-reinforcement exposure and to rewards, as well as reduced caudate response to early stimulus-reinforcement exposure. Contrary to other predictions, however, there were no group differences in amygdala responsiveness specifically to these two task parameters. However, amygdala responsiveness throughout the task was reduced in the youths with conduct disorder or oppositional defiant disorder plus psychopathic traits. CONCLUSIONS This study demonstrates that youths with conduct disorder or oppositional defiant disorder plus psychopathic traits are marked by a compromised sensitivity to early reinforcement information in both orbitofrontal cortex and caudate and to reward outcome information within orbitofrontal cortex. They further suggest that the integrated functioning of the amygdala, caudate and orbitofrontal cortex may be disrupted in individuals with this disorder. PMID:21078707

  16. Factors of the Psychopathic Personality Inventory: Criterion-Related Validity and Relationship to the BIS/BAS and Five-Factor Models of Personality

    Science.gov (United States)

    Ross, Scott R.; Benning, Stephen D.; Patrick, Christopher J.; Thompson, Angela; Thurston, Amanda

    2009-01-01

    Psychopathy is a personality disorder that includes interpersonal-affective and antisocial deviance features. The Psychopathic Personality Inventory (PPI) contains two underlying factors (fearless dominance and impulsive antisociality) that may differentially tap these two sets of features. In a mixed-gender sample of undergraduates and prisoners,…

  17. Psychopathic traits linked to alterations in neural activity during personality judgments of self and others.

    Science.gov (United States)

    Deming, Philip; Philippi, Carissa L; Wolf, Richard C; Dargis, Monika; Kiehl, Kent A; Koenigs, Michael

    2018-01-01

    Psychopathic individuals are notorious for their grandiose sense of self-worth and disregard for the welfare of others. One potential psychological mechanism underlying these traits is the relative consideration of "self" versus "others". Here we used task-based functional magnetic resonance imaging (fMRI) to identify neural responses during personality trait judgments about oneself and a familiar other in a sample of adult male incarcerated offenders ( n  = 57). Neural activity was regressed on two clusters of psychopathic traits: Factor 1 (e.g., egocentricity and lack of empathy) and Factor 2 (e.g., impulsivity and irresponsibility). Contrary to our hypotheses, Factor 1 scores were not significantly related to neural activity during self- or other-judgments. However, Factor 2 traits were associated with diminished activation to self-judgments, in relation to other-judgments, in bilateral posterior cingulate cortex and right temporoparietal junction. These findings highlight cortical regions associated with a dimension of social-affective cognition that may underlie psychopathic individuals' impulsive traits.

  18. Self-esteem and styles of coping with stress versus strategies of planning in people with psychopathic personality disorders.

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    Pastwa-Wojciechowska, Beata; Kaźmierczak, Maria; Błażek, Magdalena

    2012-02-01

    Psychopathy is a notion that has been difficult to define. The operational definition of psychopathy by Hare is one of the most commonly used in psychology and it is usually identified with the scale used to measure this type of personality, which is the Psychopathy Checklist - Revision (PCL-R). PCL-R is composed of two factors: Factor 1 describes a constellation of psychopathic traits considered by many clinicians to be basic for this type of personality, and Factor 2 describes types of behaviour indicating impulsiveness, lack of stability and antisocial lifestyle. The aim of the research was to verify a hypothesis that people with psychopathic personality disorders are characterised by high self-esteem, unconstructive strategies of planning actions and non-adaptive styles of coping with stress. The group of participants included 30 people at the age of 22-36 convicted with a legally binding sentence. Methods were: 1. The Psychopathy Checklist-Revision (PCL-R); 2. Antisocial Personality Questionnaire (APQ); 3. Coping Inventory for Stressful Situations (CISS); 4. Generalised Self-Efficacy Scale (GSES). The participants were diagnosed as psychopaths (PCL-R), and more specifically - as primary psychopaths (APQ). They revealed a grandiose sense of self-worth, increased self-control, impulsive style of functioning, perceived high self-efficacy (which might be considered as a defence mechanism). Psychopaths prefer a coping style focused on emotions and avoidance. The hypothesis was confirmed, that people with psychopathic personality disorders are characterised by high self-esteem, unconstructive strategies of planning actions and non-adaptive styles of coping with stress.

  19. Disrupted reinforcement signaling in the orbitofrontal cortex and caudate in youths with conduct disorder or oppositional defiant disorder and a high level of psychopathic traits.

    Science.gov (United States)

    Finger, Elizabeth C; Marsh, Abigail A; Blair, Karina S; Reid, Marguerite E; Sims, Courtney; Ng, Pamela; Pine, Daniel S; Blair, R James R

    2011-02-01

    Dysfunction in the amygdala and orbitofrontal cortex has been reported in youths and adults with psychopathic traits. The specific nature of the functional irregularities within these structures remains poorly understood. The authors used a passive avoidance task to examine the responsiveness of these systems to early stimulus-reinforcement exposure, when prediction errors are greatest and learning maximized, and to reward in youths with psychopathic traits and comparison youths. While performing the passive avoidance learning task, 15 youths with conduct disorder or oppositional defiant disorder plus a high level of psychopathic traits and 15 healthy subjects completed a 3.0-T fMRI scan. Relative to the comparison youths, the youths with a disruptive behavior disorder plus psychopathic traits showed less orbitofrontal responsiveness both to early stimulus-reinforcement exposure and to rewards, as well as less caudate response to early stimulus-reinforcement exposure. There were no group differences in amygdala responsiveness to these two task measures, but amygdala responsiveness throughout the task was lower in the youths with psychopathic traits. Compromised sensitivity to early reinforcement information in the orbitofrontal cortex and caudate and to reward outcome information in the orbitofrontal cortex of youths with conduct disorder or oppositional defiant disorder plus psychopathic traits suggests that the integrated functioning of the amygdala, caudate, and orbitofrontal cortex may be disrupted. This provides a functional neural basis for why such youths are more likely to repeat disadvantageous decisions. New treatment possibilities are raised, as pharmacologic modulations of serotonin and dopamine can affect this form of learning.

  20. Violent peer influence: The roles of self-esteem and psychopathic traits.

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    Van Zalk, Maarten Herman Walter; Van Zalk, Nejra

    2015-11-01

    Evidence for the risks of psychopathic personality traits for adolescent antisocial behavior are well documented in the literature. Little is known, however, about who the peers of adolescents with these traits are and to what extent they influence one another. In the current study, three dimensions of psychopathic traits were distinguished: grandiose-manipulative traits, callous-unemotional traits, and impulsive-irresponsible traits. A dynamic social network approach was used with three waves of longitudinal data from 1,772 adolescents (51.1% girls, M age = 13.03 at first measurement). Results showed that adolescents with grandiose-manipulative and callous-unemotional traits formed peer relationships with adolescents who had low self-esteem. Furthermore, peers' violence predicted stronger increases in violence for adolescents with low self-esteem than for other adolescents, and peers' violence predicted stronger increases in adolescent violence for peers with high psychopathic traits than for other peers. Thus, findings indicate that adolescents with low self-esteem are vulnerable to deviant peer influence from peers with psychopathic traits.

  1. Psychopathic traits in adolescents and recognition of emotion in facial expressions

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    Silvio José Lemos Vasconcellos

    2014-12-01

    Full Text Available Recent studies have investigated the ability of adult psychopaths and children with psychopathy traits to identify specific facial expressions of emotion. Conclusive results have not yet been found regarding whether psychopathic traits are associated with a specific deficit in the ability of identifying negative emotions such as fear and sadness. This study compared 20 adolescents with psychopathic traits and 21 adolescents without these traits in terms of their ability to recognize facial expressions of emotion using facial stimuli presented during 200 milliseconds, 500 milliseconds, and 1 second expositions. Analyses indicated significant differences between the two groups' performances only for fear and when displayed for 200 ms. This finding is consistent with findings from other studies in the field and suggests that controlling the duration of exposure to affective stimuli in future studies may help to clarify the mechanisms underlying the facial affect recognition deficits of individuals with psychopathic traits.

  2. Differentiating emotional processing and attention in psychopathy with functional neuroimaging.

    Science.gov (United States)

    Anderson, Nathaniel E; Steele, Vaughn R; Maurer, J Michael; Rao, Vikram; Koenigs, Michael R; Decety, Jean; Kosson, David S; Calhoun, Vince D; Kiehl, Kent A

    2017-06-01

    Individuals with psychopathy are often characterized by emotional processing deficits, and recent research has examined the specific contexts and cognitive mechanisms that underlie these abnormalities. Some evidence suggests that abnormal features of attention are fundamental to emotional deficits in persons with psychopathy, but few studies have demonstrated the neural underpinnings responsible for such effects. Here, we use functional neuroimaging to examine attention-emotion interactions among incarcerated individuals (n = 120) evaluated for psychopathic traits using the Hare Psychopathy Checklist-Revised (PCL-R). Using a task designed to manipulate attention to emotional features of visual stimuli, we demonstrate effects representing implicit emotional processing, explicit emotional processing, attention-facilitated emotional processing, and vigilance for emotional content. Results confirm the importance of considering mechanisms of attention when evaluating emotional processing differences related to psychopathic traits. The affective-interpersonal features of psychopathy (PCL-R Factor 1) were associated with relatively lower emotion-dependent augmentation of activity in visual processing areas during implicit emotional processing, while antisocial-lifestyle features (PCL-R Factor 2) were associated with elevated activity in the amygdala and related salience network regions. During explicit emotional processing, psychopathic traits were associated with upregulation in the medial prefrontal cortex, insula, and superior frontal regions. Isolating the impact of explicit attention to emotional content, only Factor 1 was related to upregulation of activity in the visual processing stream, which was accompanied by increased activity in the angular gyrus. These effects highlight some important mechanisms underlying abnormal features of attention and emotional processing that accompany psychopathic traits.

  3. Psychopathic traits linked to alterations in neural activity during personality judgments of self and others

    Directory of Open Access Journals (Sweden)

    Philip Deming

    Full Text Available Psychopathic individuals are notorious for their grandiose sense of self-worth and disregard for the welfare of others. One potential psychological mechanism underlying these traits is the relative consideration of “self” versus “others”. Here we used task-based functional magnetic resonance imaging (fMRI to identify neural responses during personality trait judgments about oneself and a familiar other in a sample of adult male incarcerated offenders (n = 57. Neural activity was regressed on two clusters of psychopathic traits: Factor 1 (e.g., egocentricity and lack of empathy and Factor 2 (e.g., impulsivity and irresponsibility. Contrary to our hypotheses, Factor 1 scores were not significantly related to neural activity during self- or other-judgments. However, Factor 2 traits were associated with diminished activation to self-judgments, in relation to other-judgments, in bilateral posterior cingulate cortex and right temporoparietal junction. These findings highlight cortical regions associated with a dimension of social-affective cognition that may underlie psychopathic individuals' impulsive traits. Keywords: Psychopathy, fMRI, Social cognition, Self-referential processing, Emotion, Psychopathology

  4. The psychopathic intimate partner batterer: a non-psychopathological profile

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    José M. Pozueco-Romero

    2014-01-01

    Full Text Available This theoretical study reviews two of the most cited profiles of intimate partner batterers in the scientific literature, paying special attention to the most notable differences between them, as well as to their common criteria. The study also discusses one of the longest standing controversies in various research studies, including the particular overview with respect to Spain: it being the constant yet erroneous reference to the equivalence of psychopathy and antisocial personality disorder. Similarly, special attention is paid to the implications of considering intimate partner batterers as having either a psychopathological or psychopathic profile, while also stressing the specific role played by psychopathy in the intimate partner batterer and, concerning psychopathic intimate partner batterers, such aspects as their specific motives for perpetrating intimate partner violence and the evaluation instruments of this particular profile. Finally, a series of future directives for research concerning psychopathic intimate partner batterers are also pointed out.

  5. Alpha-amylase reactivity in relation to psychopathic traits in adults.

    Science.gov (United States)

    Glenn, Andrea L; Remmel, Rheanna J; Raine, Adrian; Schug, Robert A; Gao, Yu; Granger, Douglas A

    2015-04-01

    Recent investigations of the psychobiology of stress in antisocial youth have benefited from a multi-system measurement model. The inclusion of salivary alpha-amylase (sAA), a surrogate marker of autonomic/sympathetic nervous system (ANS) activity, in addition to salivary cortisol, a biomarker of the hypothalamic-pituitary-adrenal (HPA) axis functioning, has helped define a more complete picture of individual differences and potential dysfunction in the stress response system of these individuals. To the authors' knowledge, no studies have examined sAA in relation to antisocial behavior in adults or in relation to psychopathic traits specifically. In the present study, we examined sAA, in addition to salivary cortisol, in a relatively large sample (n=158) of adult males (M age=36.81, range=22-67 years; 44% African-American, 34% Caucasian, 16% Hispanic) recruited from temporary employment agencies with varying levels of psychopathic traits. Males scoring highest in psychopathy were found to have attenuated sAA reactivity to social stress compared to those scoring lower in psychopathy. No differential relationships with the different factors of psychopathy were observed. In contrast to studies of antisocial youth, there were no interactions between sAA and cortisol levels in relation to psychopathy, but there was a significant interaction between pre-stressor levels of sAA and cortisol. Findings reveal potential regulatory deficits in the fast-acting, 'fight or flight', component of the stress response in adult males with psychopathic traits, as well as abnormalities in how this system may interact with the HPA axis. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Influence of allelic variations in relation to norepinephrine and mineralocorticoid receptors on psychopathic traits: a pilot study

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    Guillaume Durand

    2018-03-01

    Full Text Available Background Past findings support a relationship between abnormalities in the amygdala and the presence of psychopathic traits. Among other genes and biomarkers relevant to the amygdala, norepinephrine and mineralocorticoid receptors might both play a role in psychopathy due to their association with traits peripheral to psychopathy. The purpose is to examine if allelic variations in single nucleotide polymorphisms related to norepinephrine and mineralocorticoid receptors play a role in the display of psychopathic traits and executive functions. Methods Fifty-seven healthy participants from the community provided a saliva sample for SNP sampling of rs5522 and rs5569. Participants then completed the Psychopathic Personality Inventory–Short Form (PPI-SF and the Tower of Hanoi. Results Allelic variations of both rs5522 and rs5569 were significant when compared to PPI-SF total score and the fearless dominance component of the PPI-SF. A significant result was also obtained between rs5522 and the number of moves needed to complete the 5-disk Tower of Hanoi. Conclusion This pilot study offers preliminary results regarding the effect of allelic variations in SNPs related to norepinephrine and mineralocorticoid receptors on the presence of psychopathic traits. Suggestions are provided to enhance the reliability and validity of a larger-scale study.

  7. Facial responsiveness of psychopaths to the emotional expressions of others.

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    Janina Künecke

    Full Text Available Psychopathic individuals show selfish, manipulative, and antisocial behavior in addition to emotional detachment and reduced empathy. Their empathic deficits are thought to be associated with a reduced responsiveness to emotional stimuli. Immediate facial muscle responses to the emotional expressions of others reflect the expressive part of emotional responsiveness and are positively related to trait empathy. Empirical evidence for reduced facial muscle responses in adult psychopathic individuals to the emotional expressions of others is rare. In the present study, 261 male criminal offenders and non-offenders categorized dynamically presented facial emotion expressions (angry, happy, sad, and neutral during facial electromyography recording of their corrugator muscle activity. We replicated a measurement model of facial muscle activity, which controls for general facial responsiveness to face stimuli, and modeled three correlated emotion-specific factors (i.e., anger, happiness, and sadness representing emotion specific activity. In a multi-group confirmatory factor analysis, we compared the means of the anger, happiness, and sadness latent factors between three groups: 1 non-offenders, 2 low, and 3 high psychopathic offenders. There were no significant mean differences between groups. Our results challenge current theories that focus on deficits in emotional responsiveness as leading to the development of psychopathy and encourage further theoretical development on deviant emotional processes in psychopathic individuals.

  8. Concurrent Validity of the Psychopathic Personality Inventory with Offender and Community Samples

    Science.gov (United States)

    Malterer, Melanie B.; Lilienfeld, Scott O.; Neumann, Craig S.; Newman, Joseph P.

    2010-01-01

    The Psychopathy Checklist-Revised (PCL-R) is a frequently used and well-validated measure of psychopathy but is relatively time-intensive and expensive to administer. The Psychopathic Personality Inventory (PPI) is a self-report measure that provides a less time-intensive and less expensive method for identifying psychopathic individuals. Using…

  9. Early maternal and paternal bonding, childhood physical abuse and adult psychopathic personality

    Science.gov (United States)

    Gao, Y.; Raine, A.; Chan, F.; Venables, P. H.; Mednick, S. A.

    2013-01-01

    Background A significant gap in the literature on risk factors for psychopathy is the relative lack of research on parental bonding. Method This study examines the cross-sectional relationship between maternal and paternal bonding, childhood physical abuse and psychopathic personality at age 28 years in a community sample of 333 males and females. It also assesses prospectively whether children separated from their parents in the first 3 years of life are more likely to have a psychopathic-like personality 25 years later. Results Hierarchical regression analyses indicated that: (1) poor parental bonding (lack of maternal care and low paternal overprotection) and childhood physical abuse were both associated with a psychopathic personality; (2) parental bonding was significantly associated with psychopathic personality after taking into account sex, social adversity, ethnicity and abuse; (3) those separated from parents in the first 3 years of life were particularly characterized by low parental bonding and a psychopathic personality in adulthood; and (4) the deviant behavior factor of psychopathy was more related to lack of maternal care whereas the emotional detachment factor was related to both lack of maternal care and paternal overprotection. Conclusions Findings draw attention to the importance of different components of early bonding in relation to adult psychopathy, and may have potential implications for early intervention and prevention of psychopathy. PMID:20441692

  10. Development and Validation of Triarchic Construct Scales from the Psychopathic Personality Inventory

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    Hall, Jason R.; Drislane, Laura E.; Patrick, Christopher J.; Morano, Mario; Lilienfeld, Scott O.; Poythress, Norman G.

    2014-01-01

    The Triarchic model of psychopathy describes this complex condition in terms of distinct phenotypic components of boldness, meanness, and disinhibition. Brief self-report scales designed specifically to index these psychopathy facets have thus far demonstrated promising construct validity. The present study sought to develop and validate scales for assessing facets of the Triarchic model using items from a well-validated existing measure of psychopathy—the Psychopathic Personality Inventory (PPI). A consensus rating approach was used to identify PPI items relevant to each Triarchic facet, and the convergent and discriminant validity of the resulting PPI-based Triarchic scales were evaluated in relation to multiple criterion variables (i.e., other psychopathy inventories, antisocial personality disorder features, personality traits, psychosocial functioning) in offender and non-offender samples. The PPI-based Triarchic scales showed good internal consistency and related to criterion variables in ways consistent with predictions based on the Triarchic model. Findings are discussed in terms of implications for conceptualization and assessment of psychopathy. PMID:24447280

  11. Testosterone Modulates Altered Prefrontal Control of Emotional Actions in Psychopathic Offenders(1,2,3).

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    Volman, Inge; von Borries, Anna Katinka Louise; Bulten, Berend Hendrik; Verkes, Robbert Jan; Toni, Ivan; Roelofs, Karin

    2016-01-01

    Psychopathic individuals are notorious for their controlled goal-directed aggressive behavior. Yet, during social challenges, they often show uncontrolled emotional behavior. Healthy individuals can control their social emotional behavior through anterior prefrontal cortex (aPFC) downregulation of neural activity in the amygdala, with testosterone modulating aPFC-amygdala coupling. This study tests whether individual differences in this neuroendocrine system relate to the paradoxical lack of emotional control observed in human psychopathic offenders. Emotional control was operationalized with an fMRI-adapted approach-avoidance task requiring rule-driven control over rapid emotional responses. Fifteen psychopathic offenders and 19 matched healthy control subjects made approaching and avoiding movements in response to emotional faces. Control of social emotional behavior was required during affect-incongruent trials, when participants had to override affect-congruent, automatic action tendencies and select the opposite response. Psychopathic offenders showed less control-related aPFC activity and aPFC-amygdala coupling during trials requiring control of emotional actions, when compared with healthy control subjects. This pattern was particularly pronounced in psychopathic individuals with high endogenous testosterone levels. These findings suggest that reduced prefrontal coordination underlies reduced behavioral control in psychopathic offenders during emotionally provoking situations. Even though the modest sample size warrants replication, the modulatory role of endogenous testosterone on the aPFC-amygdala circuit suggests a neurobiological substrate of individual differences that is relevant for the advancement of treatment and the reduction of recidivism.

  12. White matter deficits in psychopathic offenders and correlation with factor structure.

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    Sylco S Hoppenbrouwers

    Full Text Available Psychopathic offenders show a persistent pattern of emotional unresponsivity to the often horrendous crimes they perpetrate. Recent studies have related psychopathy to alterations in white matter. Therefore, diffusion tensor imaging followed by tract-based spatial statistics (TBSS analysis in 11 psychopathic offenders matched to 11 healthy controls was completed. Fractional anisotropy was calculated within each voxel and comparisons were made between groups using a permutation test. Any clusters of white matter voxels different between groups were submitted to probabilistic tractography. Significant differences in fractional anisotropy were found between psychopathic offenders and healthy controls in three main white matter clusters. These three clusters represented two major networks: an amygdalo-prefrontal network, and a striato-thalamo-frontal network. The interpersonal/affective component of the PCL-R correlated with white matter deficits in the orbitofrontal cortex and frontal pole whereas the antisocial component correlated with deficits in the striato-thalamo-frontal network. In addition to replicating earlier work concerning disruption of an amygdala-prefrontal network, we show for the first time that white matter integrity in a striato-thalamo-frontal network is disrupted in psychopathic offenders. The novelty of our findings lies in the two dissociable white matter networks that map directly onto the two major factors of psychopathy.

  13. Item Response Theory Analysis of the Psychopathic Personality Inventory-Revised.

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    Eichenbaum, Alexander E; Marcus, David K; French, Brian F

    2017-06-01

    This study examined item and scale functioning in the Psychopathic Personality Inventory-Revised (PPI-R) using an item response theory analysis. PPI-R protocols from 1,052 college student participants (348 male, 704 female) were analyzed. Analyses were conducted on the 131 self-report items comprising the PPI-R's eight content scales, using a graded response model. Scales collected a majority of their information about respondents possessing higher than average levels of the traits being measured. Each scale contained at least some items that evidenced limited ability to differentiate between respondents with differing levels of the trait being measured. Moreover, 80 items (61.1%) yielded significantly different responses between men and women presumably possessing similar levels of the trait being measured. Item performance was also influenced by the scoring format (directly scored vs. reverse-scored) of the items. Overall, the results suggest that the PPI-R, despite identifying psychopathic personality traits in individuals possessing high levels of those traits, may not identify these traits equally well for men and women, and scores are likely influenced by the scoring format of the individual item and scale.

  14. Psychopathic Inclination Among Incarcerated Youth of Hazara Division Pakistan

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    Sher Dil

    2016-09-01

    Full Text Available Present study aimed at evaluating the psychopathic inclination among youth and finding the gender differences in psychopathy. An indigenously developed Psychopathy scale (Urdu has been used in this study. Alpha reliability of the scale was .90. The study was conducted on 100 males (50 criminals and 50 non-criminals and 100 females (26 criminals and 74 non-criminals using a convenient sampling technique from three districts of Hazara division: Haripur, Abbottabad, and Mansehra. Results confirmed that there is significant difference in psychopathic inclination of males and females; criminals differed significantly from the non-criminals. The study also paves way for further investigation in the field in Pakistan.

  15. Conscience as the Rational Deficit of Psychopaths

    NARCIS (Netherlands)

    Vujošević, Marijana

    I develop here a Kantian framework for understanding conscience in order to examine whether moral flaws of psychopaths are traceable to their dysfunctional conscience. When understood as the reflective capacity for moral self-assessment that triggers certain emotional reactions, conscience proves to

  16. Neural Correlates of Moral Evaluation and Psychopathic Traits in Male Multi-Problem Young Adults

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    Josjan Zijlmans

    2018-06-01

    Full Text Available Multi-problem young adults (18–27 years present with a plethora of problems, including varying degrees of psychopathic traits. The amygdala and ventromedial prefrontal cortex (vmPFC have been implicated in moral dysfunction in psychopathy in adolescents and adults, but no studies have been performed in populations in the transitional period to adulthood. We tested in multi-problem young adults the hypothesis that psychopathic traits are related to amygdala and vmPFC activity during moral evaluation. Additionally, we explored the relation between psychopathic traits and other regions consistently implicated in moral evaluation. Our final sample consisted of 100 multi-problem young adults and 22 healthy controls. During fMRI scanning, participants judged whether pictures showed a moral violation on a 1–4 scale. Whole brain analysis revealed neural correlates of moral evaluation consistent with the literature. Region of interest analyses revealed positive associations between the affective callous-unemotional dimension of psychopathy and activation in the left vmPFC, left superior temporal gyrus, and left cingulate. Our results are consistent with altered vmPFC function during moral evaluation in psychopathy, but we did not find evidence for amygdala involvement. Our findings indicate the affective callous-unemotional trait of psychopathy may be related to widespread altered activation patterns during moral evaluation in multi-problem young adults.

  17. [Psychopathic personality in women. Diagnostics and experimental findings in the forensic setting and the business world].

    Science.gov (United States)

    Eisenbarth, H

    2014-03-01

    Highly psychopathic women are rare in the context of forensic psychiatry; however, the concept of psychopathy plays an important role in diagnostics, for court expertises as well as for treatment. Another so far neglected yet relevant field is the business world. The so-called successful female psychopaths are characterized by highly psychopathic traits but low antisocial behavior, at least with reference to criminal behavior. The basis for investigating and interpreting gender differences is the assessment of psychopathy. Gender differences have been repeatedly demonstrated, especially in the assessment of antisocial behavior and the differentiation of borderline personality disorder and psychopathy which have to be addressed. Group comparisons based on these diagnostic methods found lower inhibitory deficits but less aggressive behavior in female participants with respect to the first main symptom category. For the second symptom category, emotional detachment, so far there are almost no findings reporting gender differences but only few direct gender comparisons have been carried out. However, highly psychopathic women from the general population demonstrate a stronger correlation between psychopathic traits and self-perception as negotiation partner compared to men: they make more use of manipulation and perceive themselves as more powerful in negotiation situations. Future studies should address the diagnostic variability, direct gender comparisons in experimental tasks and the relationship between psychopathic traits, the core symptom categories and career-related success.

  18. Stability and predictors of psychopathic traits from mid-adolescence through early adulthood.

    Science.gov (United States)

    Hemphälä, Malin; Kosson, David; Westerman, Johan; Hodgins, Sheilagh

    2015-12-01

    High levels of psychopathic traits in youth are associated with multiple negative outcomes including substance misuse, aggressive behavior, and criminality. Evidence regarding stability of psychopathic traits is contradictory. No previous study has examined long-term stability of psychopathic traits assessed with validated clinical measures. The present study examined the stability of psychopathic traits from mid-adolescence to early adulthood and explored adolescent factors that predicted psychopathic traits five years later. The sample included 99 women and 81 men who had consulted a clinic for substance misuse in adolescence. At an average age of 16.8 years, the adolescents were assessed using the Psychopathy Checklist: Youth Version (PCL: YV) and five years later using the PCL-Revised (PCL-R). Additionally, extensive clinical assessments of the adolescents and their parents were completed in mid-adolescence. Among both females and males, moderate to high rank-order stability was observed for total PCL and facet scores. Among both females and males, there was a decrease in the mean total PCL score, interpersonal facet score, affective facet score, and lifestyle facet score. However, the great majority of females and males showed no change in psychopathy scores over the five-year period as indicated by the Reliable Change Index. Despite the measures of multiple family and individual factors in adolescence, only aggressive behavior and male sex predicted PCL-R total scores in early adulthood after taking account of PCL:YV scores. Taken together, these results from a sample who engaged in antisocial behavior in adolescence suggest that factors promoting high psychopathy scores act early in life. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

  19. Concurrent and Prospective Effects of Psychopathic Traits on Affective and Cognitive Empathy in a Community Sample of Late Adolescents

    Science.gov (United States)

    Brouns, Bart H. J.; de Wied, Minet Annette; Keijsers, Loes; Branje, Susan; van Goozen, Stephanie H. M.; Meeus, Wim H. J.

    2013-01-01

    Background: A deficit in affective rather than cognitive empathy is thought to be central to psychopathic traits. However, empirical evidence for empathy deficits in adolescents with psychopathic traits is limited. We investigated the concurrent and prospective effects of psychopathic traits on affective and cognitive trait empathy in late…

  20. Validity of Rorschach Inkblot scores for discriminating psychopaths from non-psychopaths in forensic populations: a meta-analysis.

    Science.gov (United States)

    Wood, James M; Lilienfeld, Scott O; Nezworski, M Teresa; Garb, Howard N; Allen, Keli Holloway; Wildermuth, Jessica L

    2010-06-01

    Gacono and Meloy (2009) have concluded that the Rorschach Inkblot Test is a sensitive instrument with which to discriminate psychopaths from nonpsychopaths. We examined the association of psychopathy with 37 Rorschach variables in a meta-analytic review of 173 validity coefficients derived from 22 studies comprising 780 forensic participants. All studies included the Hare Psychopathy Checklist or one of its versions (Hare, 1980, 1991, 2003) and Exner's (2003) Comprehensive System for the Rorschach. Mean validity coefficients of Rorschach variables in the meta-analysis ranged from -.113 to .239, with a median validity of .070 and a mean validity of .062. Psychopathy displayed a significant and medium-sized association with the number of Aggressive Potential responses (weighted mean validity coefficient = .232) and small but significant associations with the Sum of Texture responses, Cooperative Movement = 0, the number of Personal responses, and the Egocentricity Index (weighted mean validity coefficients = .097 to .159). The remaining 32 Rorschach variables were not significantly related to psychopathy. The present findings contradict the view that the Rorschach is a clinically sensitive instrument for discriminating psychopaths from nonpsychopaths.

  1. Psychopathic traits associated with abnormal hemodynamic activity in salience and default mode networks during auditory oddball task.

    Science.gov (United States)

    Anderson, Nathaniel E; Maurer, J Michael; Steele, Vaughn R; Kiehl, Kent A

    2018-06-01

    Psychopathy is a personality disorder accompanied by abnormalities in emotional processing and attention. Recent theoretical applications of network-based models of cognition have been used to explain the diverse range of abnormalities apparent in psychopathy. Still, the physiological basis for these abnormalities is not well understood. A significant body of work has examined psychopathy-related abnormalities in simple attention-based tasks, but these studies have largely been performed using electrocortical measures, such as event-related potentials (ERPs), and they often have been carried out among individuals with low levels of psychopathic traits. In this study, we examined neural activity during an auditory oddball task using functional magnetic resonance imaging (fMRI) during a simple auditory target detection (oddball) task among 168 incarcerated adult males, with psychopathic traits assessed via the Hare Psychopathy Checklist-Revised (PCL-R). Event-related contrasts demonstrated that the largest psychopathy-related effects were apparent between the frequent standard stimulus condition and a task-off, implicit baseline. Negative correlations with interpersonal-affective dimensions (Factor 1) of the PCL-R were apparent in regions comprising default mode and salience networks. These findings support models of psychopathy describing impaired integration across functional networks. They additionally corroborate reports which have implicated failures of efficient transition between default mode and task-positive networks. Finally, they demonstrate a neurophysiological basis for abnormal mobilization of attention and reduced engagement with stimuli that have little motivational significance among those with high psychopathic traits.

  2. Incremental Validity of the Durand Adaptive Psychopathic Traits Questionnaire Above Self-Report Psychopathy Measures in Community Samples.

    Science.gov (United States)

    Durand, Guillaume

    2018-05-03

    Although highly debated, the notion of the existence of an adaptive side to psychopathy is supported by some researchers. Currently, 2 instruments assessing psychopathic traits include an adaptive component, which might not cover the full spectrum of adaptive psychopathic traits. The Durand Adaptive Psychopathic Traits Questionnaire (DAPTQ; Durand, 2017 ) is a 41-item self-reported instrument assessing adaptive traits known to correlate with the psychopathic personality. In this study, I investigated in 2 samples (N = 263 and N = 262) the incremental validity of the DAPTQ over the Psychopathic Personality Inventory-Short Form (PPI-SF) and the Triarchic Psychopathy Measure (TriPM) using multiple criterion measures. Results showed that the DAPTQ significantly increased the predictive validity over the PPI-SF on 5 factors of the HEXACO. Additionally, the DAPTQ provided incremental validity over both the PPI-SF and the TriPM on measures of communication adaptability, perceived stress, and trait anxiety. Overall, these results support the validity of the DAPTQ in community samples. Directions for future studies to further validate the DAPTQ are discussed.

  3. A Longitudinal Twin Study of the Direction of Effects between Psychopathic Personality and Antisocial Behaviour

    Science.gov (United States)

    Forsman, Mats; Lichtenstein, Paul; Andershed, Henrik; Larsson, Henrik

    2010-01-01

    Background: Antisocial behaviour may partly develop as a consequence of psychopathic personality. However, neither the direction of effects nor the aetiology of the association has previously been clarified. The aim in this study was to investigate the direction of effects between psychopathic personality and antisocial behaviour, and to…

  4. Psychopathic Personality and Negative Parent-to-Child Affect: A Longitudinal Cross-lag Twin Study

    Science.gov (United States)

    Tuvblad, Catherine; Bezdjian, Serena; Raine, Adrian; Baker, Laura A.

    2013-01-01

    Purpose Previous studies that have explored the relationship between parenting style and children’s antisocial behavior have generally found significant bidirectional effects, whereby parenting behaviors influence their child’s antisocial outcomes, but a child’s behaviors also lead to changes in parenting style. Methods The present study investigated the genetic and environmental underpinnings of the longitudinal relationship between negative parent-to-child affect and psychopathic personality in a sample of 1,562 twins. Using a biometrical cross-lag analysis, bidirectional effects were investigated across two waves of assessment when the twins were ages 9–10 and 14–15, utilizing both caregiver and youth self-reports. Results Results demonstrated that negative parental affects observed at ages 9–10 influenced the child’s later psychopathic personality at ages 14–15, based on both caregiver and youth self-reports. For these ‘parent-driven effects’, both genetic and non-shared environmental factors were important in the development of later psychopathic personality during adolescence. There were additional ‘child-driven effects’ such that children’s psychopathic personality at ages 9–10 influenced negative parent-to-child affect at ages 14–15, but only within caregiver reports. Conclusions Thus, children’s genetically influenced psychopathic personality seemed to evoke parental negativity at ages 14–15, highlighting the importance of investigating bidirectional effects in parent-child relationships to understand the development of these traits. PMID:24223446

  5. Emotional processing and psychopathic traits in male college students: An event-related potential study.

    Science.gov (United States)

    Medina, Amy L; Kirilko, Elvira; Grose-Fifer, Jillian

    2016-08-01

    Emotional processing deficits are often considered a hallmark of psychopathy. However, there are relatively few studies that have investigated how the late positive potential (LPP) elicited by both positive and negative emotional stimuli is modulated by psychopathic traits, especially in undergraduates. Attentional deficits have also been posited to be associated with emotional blunting in psychopathy, consequently, results from previous studies may have been influenced by task demands. Therefore, we investigated the relationship between the neural correlates of emotional processing and psychopathic traits by measuring event-related potentials (ERPs) during a task with a relatively low cognitive load. A group of male undergraduates were classified as having either high or low levels of psychopathic traits according to their total scores on the Psychopathic Personality Inventory - Revised (PPI-R). A subgroup of these participants then passively viewed complex emotional and neutral images from the International Affective Picture System (IAPS) while their EEGs were recorded. As hypothesized, in general the late LPP elicited by emotional pictures was found to be significantly reduced for participants with high Total PPI-R scores relative to those with low scores, especially for pictures that were rated as less emotionally arousing. Our data suggest that male undergraduates with high, but subclinical levels of psychopathic traits did not maintain continued higher-order processing of affective information, especially when it was perceived to be less arousing in nature. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. What if the CEO is perceived as a corporate psychopath? The effects of perceived corporate psychopathy on product, stock and employer attractiveness

    OpenAIRE

    Albrecht, Carmen-Maria; Finkel, Ariane Stephanie Dominique; Nothhelfer, Katja

    2016-01-01

    Many corporate brands are strongly associated with the person the companies are headed by (Argenti & Druckenmiller, 2004). Attention for corporate psychopaths (CPs), defined as individuals who show psychopathic traits and work successfully in corporations, has been growing lately (Boddy, 2005). Psychopathic traits (e.g. charm, lack of remorse and empathy) can easily be interpreted as leadership characteristics (e.g. charisma and decisiveness) and therefore boost the career of the psychopath a...

  7. Emotion processing in the criminal psychopath: the role of attention in emotion-facilitated memory.

    Science.gov (United States)

    Glass, Samantha J; Newman, Joseph P

    2009-02-01

    The response modulation hypothesis specifies that low-anxious psychopathic individuals have difficulty processing information outside their primary attentional focus. To evaluate the applicability of this model to affective processing, the authors had 239 offenders, classified with the Psychopathy Checklist--Revised (R. D. Hare, 2003) and the Welsh Anxiety Scale (G. Welsh, 1956), perform 1 of 3 emotion memory tasks that examined the effects of emotion on memory for primary and contextual information. Regardless of anxiety level, psychopathic and control offenders demonstrated a significant and comparable memory bias for emotional over neutral words in the primary conditions. However, psychopathic individuals showed significantly less memory bias than did controls in the contextual conditions. Results indicate that the impact of emotion on memory is moderated by attentional factors.

  8. Amygdala subnuclei connectivity in response to violence reveals unique influences of individual differences in psychopathic traits in a nonforensic sample.

    Science.gov (United States)

    Yoder, Keith J; Porges, Eric C; Decety, Jean

    2015-04-01

    Atypical amygdala function and connectivity have reliably been associated with psychopathy. However, the amygdala is not a unitary structure. To examine how psychopathic traits in a nonforensic sample are linked to amygdala response to violence, this study used probabilistic tractography to classify amygdala subnuclei based on anatomical projections to and from amygdala subnuclei in a group of 43 male participants. The segmentation identified the basolateral complex (BLA; lateral, basal, and accessory basal subnuclei) and the central subnucleus (CE), which were used as seeds in a functional connectivity analysis to identify differences in neuronal coupling specific to observed violence. While a full amygdala seed showed significant connectivity only to right middle occipital gyrus, subnuclei seeds revealed unique connectivity patterns. BLA showed enhanced coupling with anterior cingulate and prefrontal regions, while CE showed increased connectivity with the brainstem, but reduced connectivity with superior parietal and precentral gyrus. Further, psychopathic personality factors were related to specific patterns of connectivity. Fearless Dominance scores on the psychopathic personality inventory predicted increased coupling between the BLA seed and sensory integration cortices, and increased connectivity between the CE seed and posterior insula. Conversely, Self-Centered Impulsivity scores were negatively correlated with coupling between BLA and ventrolateral prefrontal cortex, and Coldheartedness scores predicted increased functional connectivity between BLA and dorsal anterior cingulate cortex. Taken together, these findings demonstrate how subnuclei segmentations reveal important functional connectivity differences that are otherwise inaccessible. Such an approach yields a better understanding of amygdala dysfunction in psychopathy. © 2014 Wiley Periodicals, Inc.

  9. The Genetic and Environmental Covariation among Psychopathic Personality Traits, and Reactive and Proactive Aggression in Childhood

    Science.gov (United States)

    Bezdjian, Serena; Tuvblad, Catherine; Raine, Adrian; Baker, Laura A.

    2011-01-01

    The present study investigated the genetic and environmental covariance between psychopathic personality traits with reactive and proactive aggression in 9- to 10-year-old twins (N = 1,219). Psychopathic personality traits were assessed with the Child Psychopathy Scale (D. R. Lynam, 1997), while aggressive behaviors were assessed using the…

  10. Psychopathic traits are associated with reduced attention to the eyes of emotional faces among adult male non-offenders

    Directory of Open Access Journals (Sweden)

    Steven Mark Gillespie

    2015-10-01

    Full Text Available Psychopathic traits are linked with impairments in emotional facial expression recognition. These impairments may, in part, reflect reduced attention to the eyes of emotional faces. Although reduced attention to the eyes has been noted among children with conduct problems and callous-unemotional traits, similar findings are yet to be found in relation to psychopathic traits among adult male participants. Here we investigated the relationship of primary (selfish, uncaring and secondary (impulsive, antisocial psychopathic traits with attention to the eyes among adult male non-offenders during an emotion recognition task. We measured the number of fixations, and overall dwell time, on the eyes and the mouth of male and female faces showing the six basic emotions at varying levels of intensity. We found no relationship of primary or secondary psychopathic traits with recognition accuracy. However, primary psychopathic traits were associated with a reduced number of fixations, and lower overall dwell time, on the eyes relative to the mouth across expressions, intensity, and sex. Furthermore, the relationship of primary psychopathic traits with attention to the eyes of angry and fearful faces was influenced by the sex and intensity of the expression. We also showed that a greater number of fixations on the eyes, relative to the mouth, was associated with increased accuracy for angry and fearful expression recognition. These results are the first to show effects of psychopathic traits on attention to the eyes of emotional faces in an adult male sample, and may support amygdala based accounts of psychopathy. These findings may also have methodological implications for clinical studies of emotion recognition.

  11. Dysfunctional error-related processing in incarcerated youth with elevated psychopathic traits

    Science.gov (United States)

    Maurer, J. Michael; Steele, Vaughn R.; Cope, Lora M.; Vincent, Gina M.; Stephen, Julia M.; Calhoun, Vince D.; Kiehl, Kent A.

    2016-01-01

    Adult psychopathic offenders show an increased propensity towards violence, impulsivity, and recidivism. A subsample of youth with elevated psychopathic traits represent a particularly severe subgroup characterized by extreme behavioral problems and comparable neurocognitive deficits as their adult counterparts, including perseveration deficits. Here, we investigate response-locked event-related potential (ERP) components (the error-related negativity [ERN/Ne] related to early error-monitoring processing and the error-related positivity [Pe] involved in later error-related processing) in a sample of incarcerated juvenile male offenders (n = 100) who performed a response inhibition Go/NoGo task. Psychopathic traits were assessed using the Hare Psychopathy Checklist: Youth Version (PCL:YV). The ERN/Ne and Pe were analyzed with classic windowed ERP components and principal component analysis (PCA). Using linear regression analyses, PCL:YV scores were unrelated to the ERN/Ne, but were negatively related to Pe mean amplitude. Specifically, the PCL:YV Facet 4 subscale reflecting antisocial traits emerged as a significant predictor of reduced amplitude of a subcomponent underlying the Pe identified with PCA. This is the first evidence to suggest a negative relationship between adolescent psychopathy scores and Pe mean amplitude. PMID:26930170

  12. Heartless and Cunning? The Relationship between Intelligence, Psychopathic Traits and Antisocial Behaviour in Adolescents. Research Briefing No. 99

    Science.gov (United States)

    Allen, Jennifer

    2014-01-01

    This study examined two main questions: (1) Is there a direct link between psychopathic traits and intelligence? (2) Is the combination of psychopathic traits and high IQ related to more severe antisocial behaviour in adolescents?

  13. A New Measure to Assess Psychopathic Personality in Children: The Child Problematic Traits Inventory.

    Science.gov (United States)

    Colins, Olivier F; Andershed, Henrik; Frogner, Louise; Lopez-Romero, Laura; Veen, Violaine; Andershed, Anna-Karin

    2014-01-01

    Understanding the development of psychopathic personality from childhood to adulthood is crucial for understanding the development and stability of severe and long-lasting conduct problems and criminal behavior. This paper describes the development of a new teacher rated instrument to assess psychopathic personality from age three to 12, the Child Problematic Traits Inventory (CPTI). The reliability and validity of the CPTI was tested in a Swedish general population sample of 2,056 3- to 5-year-olds (mean age = 3.86; SD = .86; 53 % boys). The CPTI items loaded distinctively on three theoretically proposed factors: a Grandiose-Deceitful Factor, a Callous-Unemotional factor, and an Impulsive-Need for Stimulation factor. The three CPTI factors showed reliability in internal consistency and external validity, in terms of expected correlations with theoretically relevant constructs (e.g., fearlessness). The interaction between the three CPTI factors was a stronger predictor of concurrent conduct problems than any of the three individual CPTI factors, showing that it is important to assess all three factors of the psychopathic personality construct in early childhood. In conclusion, the CPTI seems to reliably and validly assess a constellation of traits that is similar to psychopathic personality as manifested in adolescence and adulthood.

  14. Psychopathic Traits Moderate Peer Influence on Adolescent Delinquency

    Science.gov (United States)

    Kerr, Margaret; Van Zalk, Maarten; Stattin, Hakan

    2012-01-01

    Background: Peer influence on adolescent delinquency is well established, but little is known about moderators of peer influence. In this study, we examined adolescents' (targets) and their peers' psychopathic personality traits as moderators of peer influence on delinquency in peer networks. We used three separate dimensions of the psychopathic…

  15. Psychopathic traits modulate microstructural integrity of right uncinate fasciculus in a community population.

    Science.gov (United States)

    Sobhani, Mona; Baker, Laura; Martins, Bradford; Tuvblad, Catherine; Aziz-Zadeh, Lisa

    2015-01-01

    Individuals with psychopathy possess emotional and behavioral abnormalities. Two neural regions, involved in behavioral control and emotion regulation, are often implicated: amygdala and ventromedial prefrontal cortex (VMPFC). Recently, in studies using adult criminal populations, reductions in microstructural integrity of the white matter connections (i.e., uncinate fasciculus (UF)) between these two neural regions have been discovered in criminals with psychopathy, supporting the notion of neural dysfunction in the amygdala-VMPFC circuit. Here, a young adult, community sample is used to assess whether psychopathic traits modulate microstructural integrity of UF, and whether this relationship is dependent upon levels of trait anxiety, which is sometimes used to distinguish subtypes of psychopathy. Results reveal a negative association between psychopathic traits and microstructural integrity of UF, supporting previous findings. However, no moderation of the relationship by trait anxiety was discovered. Findings provide further support for the notion of altered amygdala-VMPFC connectivity in association with higher psychopathic traits.

  16. Psychopathic traits modulate microstructural integrity of right uncinate fasciculus in a community population

    Directory of Open Access Journals (Sweden)

    Mona Sobhani

    2015-01-01

    Full Text Available Individuals with psychopathy possess emotional and behavioral abnormalities. Two neural regions, involved in behavioral control and emotion regulation, are often implicated: amygdala and ventromedial prefrontal cortex (VMPFC. Recently, in studies using adult criminal populations, reductions in microstructural integrity of the white matter connections (i.e., uncinate fasciculus (UF between these two neural regions have been discovered in criminals with psychopathy, supporting the notion of neural dysfunction in the amygdala–VMPFC circuit. Here, a young adult, community sample is used to assess whether psychopathic traits modulate microstructural integrity of UF, and whether this relationship is dependent upon levels of trait anxiety, which is sometimes used to distinguish subtypes of psychopathy. Results reveal a negative association between psychopathic traits and microstructural integrity of UF, supporting previous findings. However, no moderation of the relationship by trait anxiety was discovered. Findings provide further support for the notion of altered amygdala–VMPFC connectivity in association with higher psychopathic traits.

  17. The Mask of Sanity: Facial Expressive, Self-Reported, and Physiological Consequences of Emotion Regulation in Psychopathic Offenders.

    Science.gov (United States)

    Nentjes, Lieke; Bernstein, David P; Meijer, Ewout; Arntz, Arnoud; Wiers, Reinout W

    2016-12-01

    This study investigated the physiological, self-reported, and facial correlates of emotion regulation in psychopathy. Specifically, we compared psychopathic offenders (n = 42), nonpsychopathic offenders (n = 42), and nonoffender controls (n = 26) in their ability to inhibit and express emotion while watching affective films (fear, happy, and sad). Results showed that all participants were capable of drastically diminishing facial emotions under inhibition instructions. Contrary to expectation, psychopaths were not superior in adopting such a "poker face." Further, the inhibition of emotion was associated with cardiovascular changes, an effect that was also not dependent on psychopathy (or its factors), suggesting emotion inhibition to be an effortful process in psychopaths as well. Interestingly, psychopathic offenders did not differ from nonpsychopaths in the capacity to show content-appropriate facial emotions during the expression condition. Taken together, these data challenge the view that psychopathy is associated with either superior emotional inhibitory capacities or a generalized impairment in showing facial affect.

  18. Auditors' Experience with Corporate Psychopaths

    DEFF Research Database (Denmark)

    Klarskov Jeppesen, Kim; Leder, Christina

    2016-01-01

    actually exist and are a phenomenon worthy of research attention in areas such as accounting, auditing, internal control, fraud investigation, performance management and human resource management. Practical implications: As auditors are likely to come across corporate psychopaths from time to time...... in their careers, awareness of this type of risk needs to be increased and better integrated into the risk assessment in audit planning. Auditing standards relating to fraud also need to be updated according to the latest developments in fraud theory. Originality/value: This is the first research to address...

  19. The Development and Preliminary Validation of a Brief Questionnaire of Psychopathic Personality Traits

    Directory of Open Access Journals (Sweden)

    Sonja Etzler

    2017-09-01

    Full Text Available The measurement of psychopathic personality traits via self-report has become an important tool in legal psychology. One prominent instrument is the Psychopathic Personality Inventory (PPI; Lilienfeld and Andrews, 1996, a well-validated questionnaire that is widely applied in many countries. In Germany, it is the only questionnaire assessing psychopathic traits that is available from a publisher with a manual edited for easy administration. Nevertheless, the PPI shows certain shortcomings: the high number of 154 items makes it less economic, it was developed on a non-representative undergraduate sample, and studies revealed an inconsistent factor structure. To overcome these points, a new questionnaire, the Questionnaire of Psychopathic Personality Traits [German: Fragebogen Psychopathischer Persönlichkeitseigenschaften (FPP] was developed. The sample consists of n = 132 civilians (56% female and n = 173 inmates of German correctional facilities (30% female. The FPP comprises 30 items, whose wording was short and adequate for inmates. It shows satisfying psychometric properties regarding factorial structure, item properties, and reliability. Partial invariance regarding both subsamples allows for interpretation of latent means. Results supported validity such as associations with self-reported crime, and inmates’ misconduct. The factorial structure was cross-validated on a second sample of N = 517 participants (71% female from an online study. The FPP is useful in large-scale research studies as well as for clinical settings, e.g., for treatment planning in correctional facilities.

  20. Psychopathic traits and offender characteristics - a nationwide consecutive sample of homicidal male adolescents.

    Science.gov (United States)

    Lindberg, Nina; Laajasalo, Taina; Holi, Matti; Putkonen, Hanna; Weizmann-Henelius, Ghitta; Häkkänen-Nyholm, Helinä

    2009-05-06

    The aim of the study was to evaluate psychopathy-like personality traits in a nationwide consecutive sample of adolescent male homicide offenders and to compare the findings with those of a randomly sampled adult male homicide offender group. A further aim was to investigate associations between psychopathic traits and offender and offence characteristics in adolescent homicides. Forensic psychiatric examination reports and crime reports of all 15 to 19- year- old male Finnish offenders who had been subjected to a forensic psychiatric examination and convicted for a homicide during 1995-2004 were collected (n = 57). A random sample of 57 adult male homicide offenders was selected as a comparison group. Offence and offender characteristics were collected from the files and a file-based assessment of psychopathic traits was performed using the Hare Psychopathy Checklist-Revised (PCL-R) by trained raters. No significant differences existed between the adolescents and adults in PCL-R total scores, factor 2 (social deviance) scores, or in facets 3 (lifestyle) and 4 (antisocial). Adults scored significantly higher on factor 1 (interpersonal/affective) and facets 1 (interpersonal) and 2 (affective). The adolescent group was divided into two subgroups according to PCL-R total scores. One in five homicidal male adolescents met criteria for psychopathic personality using a PCL-R total score of 26 or higher. These boys significantly more often had a crime history before the index homicide, more frequently used excessive violence during the index homicide, more rarely lived with both parents until 16 years of age, had more institutional or foster home placements in childhood, had more school difficulties, more often had received special education, and, more often had contact with mental health services prior to age 18 years than boys scoring low on the PCL-R. They also more often had parental criminal history as well as homicide history of parents or near relatives than the

  1. Relations of Distinct Psychopathic Personality Traits with Anxiety and Fear: Findings from Offenders and Non-Offenders.

    Directory of Open Access Journals (Sweden)

    Steven M Gillespie

    Full Text Available Early descriptions of psychopathy emphasise fearlessness and a lack of nervousness or anxiety as key characteristics of the disorder. However, conflicting evidence suggests that anxiety may be positively correlated with some aspects of the psychopathy construct. This position may seem somewhat paradoxical when considered alongside impaired processing of fear related stimuli in psychopathic personality. The aim of the current paper was to examine the distinct relations of callous, egocentric, and antisocial psychopathic traits with measures of anxiety and social anxiety in samples of non-offenders (Study 1 and violent offenders (Study 2. In Study 2 we also used an emotion recognition task to examine fearful face recognition. In Studies 1 and 2 we showed distinct and opposite significant relationships of egocentric and antisocial psychopathic traits with trait anxiety. Thus, while trait anxiety was negatively predicted by egocentric traits, it was predicted in a positive direction by antisocial traits in both samples. In Study 2 we found that callous traits were predictive of greater impairments in fearful face recognition. These findings suggest that anxiety and fear are distinguishable constructs in relation to psychopathic personality traits, and are discussed in terms of potentially separable mechanisms for these two constructs.

  2. Social cognition: empirical contribution. The developmental building blocks of psychopathic traits: revisiting the role of theory of mind.

    Science.gov (United States)

    Sharp, Carla; Vanwoerden, Salome

    2014-02-01

    In the context of personality disorder development, theories of typical and atypical development both emphasize social cognition as an important building block for personality development. Prior claims of intact theory of mind (ToM) abilities in psychopathic individuals have relied upon a narrow conception of ToM as equivalent to "cognitive empathy." In this article, the authors make use of a broader conception of ToM comprising top-down and bottom-up processing, as well as the fractionation of ToM in terms of reduced or excessive ToM function, to examine relationships between ToM and psychopathic traits. A total of 342 adolescents (ages 12-17; Mage 15.39; SD = 1.45; 61.5% females) completed the Movie Assessment for Social Cognition (Dziobek, Fleck, Kalbe, et al., 2006) and the Child Eyes Test (Baron-Cohen, Wheelwright, Hill, Raste, & Plumb, 2001) in addition to three measures of psychopathic traits. Results demonstrated unique relations between the affective components of psychopathy (callous-unemotional traits [CU traits]) and impairment in both top-down and bottom-up ToM. In addition, excessive ToM related to affective components of psychopathy, while reduced or no ToM related to behavioral components of psychopathy. In mediational analyses, bottom-up ToM was shown to be necessary for top-town ToM in its relation with CU traits. Taken together, these results from the study lend support to revisiting the link between ToM and psychopathy.

  3. Parental Acceptance-Rejection, Childhood Trauma, Emotion Regulation, and Psychological Adjustment as the Risk Factors of Psychopathic Tendencies in Adolescents of Pakistan

    Directory of Open Access Journals (Sweden)

    Saba Walayat

    2017-06-01

    Full Text Available The present study aimed to explore the psychopathic tendencies in relation to childhood trauma, psychological adjustment, emotion regulation and parental patterns of acceptance-rejection towards their adolescents and the influence of demographic variables in socio-cultural context of Pakistan. Translated versions of Parental Acceptance-Rejection Questionnaire; Child PARQ, Childhood Trauma Questionnaire, Personality Assessment Questionnaire, Emotion Regulation Questionnaire, Youth Psychopathic Trait Inventory and bio-data form containing information regarding different demographic variables were used in order to collect the data from the participants. The sample consisted of 600 adolescents (281 males; 319 females with age ranged between 13 and 17 were selected with convenient random sampling from different private and public schools of the three major cities of Punjab; Lahore, Gujrat and Sialkot. The results indicated psychological maladjustment as the most significant predictor of psychopathic tendencies. However, emotion regulation appeared to be as the most significant predictor of psychopathic tendencies in male adolescents and parental acceptance-rejection (mother in female adolescents. The results further indicated that age, father’s education and profession, mother’s education and monthly income are significant determinants of psychopathic tendencies in participants of the study.

  4. White Matter Deficits in Psychopathic Offenders and Correlation with Factor Structure

    NARCIS (Netherlands)

    Hoppenbrouwers, S.S.; Nazeri, A.; Jesus, D.R. de; Stirpe, T.; Felsky, D.; Schutter, D.J.L.G.; Daskalakis, Z.J.; Voineskos, A.N.

    2013-01-01

    Psychopathic offenders show a persistent pattern of emotional unresponsivity to the often horrendous crimes they perpetrate. Recent studies have related psychopathy to alterations in white matter. Therefore, diffusion tensor imaging followed by tract-based spatial statistics (TBSS) analysis in 11

  5. Psychopaths Show Enhanced Amygdala Activation during Fear Conditioning

    OpenAIRE

    Schultz, Douglas H.; Balderston, Nicholas L.; Baskin-Sommers, Arielle R.; Larson, Christine L.; Helmstetter, Fred J.

    2016-01-01

    Psychopathy is a personality disorder characterized by emotional deficits and a failure to inhibit impulsive behavior and is often subdivided into “primary” and “secondary” psychopathic subtypes. The maladaptive behavior related to primary psychopathy is thought to reflect constitutional “fearlessness,” while the problematic behavior related to secondary psychopathy is motivated by other factors. The fearlessness observed in psychopathy has often been interpreted as reflecting a fundamental d...

  6. Psychopathic Traits and Moral Disengagement Interact to Predict Bullying and Cyberbullying Among Adolescents.

    Science.gov (United States)

    Orue, Izaskun; Calvete, Esther

    2016-07-01

    The aim of this study was to test a model in which psychopathic traits (callous-unemotional, grandiose-manipulative, and impulsive-irresponsible) and moral disengagement individually and interactively predict two types of bullying (traditional and cyberbullying) in a community sample of adolescents. A total of 765 adolescents (464 girls and 301 boys) completed measures of moral disengagement and psychopathic traits at Time 1, and measures of bullying and cyberbullying at Time 1 and 1 year later, at Time 2. The results showed that callous-unemotional traits predicted both traditional bullying and cyberbullying, grandiose-manipulative and impulsive-irresponsible traits only predicted traditional bullying, and moral disengagement only predicted cyberbullying. Callous-Unemotional Traits × Moral Disengagement and Grandiose-Manipulative × Moral Disengagement were significantly correlated with the residual change in cyberbullying. Callous-unemotional traits were positively related to cyberbullying at high levels of moral disengagement but not when moral disengagement was low. In contrast, grandiose-manipulative traits were positively related to cyberbullying at low levels of moral disengagement but not when moral disengagement was high. These findings have implications for both prevention and intervention. Integrative approaches that promote moral growth are needed, including a deeper understanding of why bullying is morally wrong and ways to stimulate personality traits that counteract psychopathic traits.

  7. Directions of Effects between Adolescent Psychopathic Traits and Parental Behavior

    Science.gov (United States)

    Salihovic, Selma; Kerr, Margaret; Ozdemir, Metin; Pakalniskiene, Vilmante

    2012-01-01

    The present study examined the directions of effects between adolescent psychopathic traits and parental behaviors. The data are from a community-based cohort-sequential study. Data were collected annually over 4 years. Participants were 875 adolescents, aged 13-15 at Time 1, and we analyzed their reports of negative and positive parental…

  8. Self-Report Measures of Juvenile Psychopathic Personality Traits: A Comparative Review

    Science.gov (United States)

    Vaughn, Michael G.; Howard, Matthew O.

    2005-01-01

    The authors evaluated self-report instruments currently being used to assess children and adolescents with psychopathic personality traits with respect to their reliability, validity, and research utility. Comprehensive searches across multiple computerized bibliographic databases were conducted and supplemented with manual searches. A total of 30…

  9. Feature-based attention and conflict monitoring in criminal offenders: interactive relations of psychopathy with anxiety and externalizing.

    Science.gov (United States)

    Zeier, Joshua D; Newman, Joseph P

    2013-08-01

    As predicted by the response modulation model, psychopathic offenders are insensitive to potentially important inhibitory information when it is peripheral to their primary focus of attention. To date, the clearest tests of this hypothesis have manipulated spatial attention to cue the location of goal-relevant versus inhibitory information. However, the theory predicts a more general abnormality in selective attention. In the current study, male prisoners performed a conflict-monitoring task, which included a feature-based manipulation (i.e., color) that biased selective attention toward goal-relevant stimuli and away from inhibitory distracters on some trials but not others. Paralleling results for spatial cuing, feature-based cuing resulted in less distracter interference, particularly for participants with primary psychopathy (i.e., low anxiety). This study also investigated the moderating effect of externalizing on psychopathy. Participants high in psychopathy but low in externalizing performed similarly to primary psychopathic individuals. These results demonstrate that the abnormal selective attention associated with primary psychopathy is not limited to spatial attention but, instead, applies to diverse methods for establishing attentional focus. Furthermore, they demonstrate a novel method of investigating psychopathic subtypes using continuous analyses. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  10. Television's "crazy lady" trope: female psychopathic traits, teaching, and influence of popular culture.

    Science.gov (United States)

    Cerny, Cathleen; Friedman, Susan Hatters; Smith, Delaney

    2014-04-01

    This article describes notable illustrations of female psychopathy on modern television to review various characters that will have utility in teaching students about female psychopathy in distinction to male psychopathy and to encourage consideration of the potential effects that viewing these countless examples may have on a generation of young women. The authors use examples from soap operas, crime procedurals, reality television, fantasy, comedies, and young adult programs to illustrate gender differences in psychopathy and make specific teaching points. They also review the research literature related to popular culture's impact on behavior and gender roles. Gender differences in real-world psychopathy are mirrored in television portrayals. For example, female psychopaths, on TV and in reality, use sexual manipulation, demonstrate unstable emotions, and employ social aggression to achieve their ambitions. The examples of female psychopathic traits are prevalent on TV and easily accessible for teaching purposes. Research does give some support for a popular culture impact on behavior and gender roles. As compared to male psychopathy, female psychopathy is less recognized, and there are some notable differences in how the psychopathic traits manifest. Television provides myriad teaching examples that can highlight the gender distinctions such as use of sexual manipulation, emotional instability, and social aggression. Research suggests that the prevalence of "crazy ladies" on television may be negatively impacting gender stereotypes and normalizing bad behavior in young women.

  11. Cardiac response and anxiety levels in psychopathic murderers Resposta cardíaca e nível de ansiedade em homicidas psicopatas

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    Antonio de Pádua Serafim

    2009-09-01

    Full Text Available OBJECTIVE: To compare the emotional response and level of anxiety of psychopathic murderers, non-psychopathic murderers, and nonpsychopathic non-criminals. METHOD: 110 male individuals aged over 18 years were divided into three groups: psychopathic murderers (n = 38; non-psychopathic murderers (n = 37 serving sentences for murder convictions in Maximum Security Prisons in the State of Sao Paulo; and non-criminal, non-psychopathic individuals (n = 35 according to the Psychopathy Checklist-Revised. The emotional response of subjects was assessed by heart rate variation and anxiety level (State-Trait Anxiety Inventory after viewing standardized pictures depicting pleasant, unpleasant and neutral content from the International Affective Picture System. RESULTS: Psychopathic murderers presented lower anxiety levels and smaller heart rate variations when exposed to pleasant and unpleasant stimuli than nonpsychopathic murderers or non-psychopathic non-criminals. The results also demonstrated that the higher the score for factor 1 on the Psychopathy Checklist-Revised, the lower the heart rate variation and anxiety level. CONCLUSION: The results suggest that psychopathic murderers do not present variation in emotional response to different visual stimuli. Although the non-psychopathic murderers had committed the same type of crime as the psychopathic murderers, the former tended to respond with a higher level of anxiety and heart rate variation.OBJETIVO: Comparar a atividade cardíaca e nível de ansiedade de homicidas psicopatas e não psicopatas e não criminosos não psicopatas. MÉTODO: 110 homens com idade superior a 18 anos, divididos em três grupos: homicidas psicopatas (n = 38, homicidas não psicopatas (n = 37 cumprindo pena por homicídio em Prisões de Segurança Máxima do Estado de São Paulo e não criminosos e não psicopatas (n = 35 de acordo com a Escala de Avaliação de Psicopatia. A resposta emocional foi avaliada pela variação da

  12. The Role of Interpersonal Influence in Counterbalancing Psychopathic Personality Trait Facets at Work

    DEFF Research Database (Denmark)

    Schütte, Nora; Blickle, Gerhard; Frieder, Rachel E.

    2018-01-01

    The purpose of this study was to examine the relations of two facets of psychopathic personality (i.e., self-centered impulsivity and fearless dominance) with interpersonally directed counterproductive work behavior (CWB-I) and contextual performance (CP). Consistent with research on psychopathy.......e., an egotistical personal style characterized by self-promotion and prioritization of one’s own needs before those of others) would be negatively associated with interpersonal performance (i.e., high CWB-I and low CP) only when individuals indicated low levels of interpersonal influence (i.e., a dimension...... of political skill reflecting an ability to adapt one’s behavior in subtle, sophisticated, and situationally effective ways). Results provided strong support for the differential relations of the psychopathic personality dimensions with the criteria of interest. Implications for theory, practice, and future...

  13. What makes a psychopath? Neuro-developmental pathways to immoral and antisocial behavior

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    Yildirim, B.O.

    2016-01-01

    Before specific psychological and pharmacological treatments can be designed, or pre-emptive measures taken to reduce the impact of psychopathic individuals on society, it is paramount that we first reach consensus on (1) which personality styles comprise this heterogeneous group, (2) how these

  14. The neural signatures of distinct psychopathic traits.

    Science.gov (United States)

    Carré, Justin M; Hyde, Luke W; Neumann, Craig S; Viding, Essi; Hariri, Ahmad R

    2013-01-01

    Recent studies suggest that psychopathy may be associated with dysfunction in the neural circuitry supporting both threat- and reward-related processes. However, these studies have involved small samples and often focused on extreme groups. Thus, it is unclear to what extent current findings may generalize to psychopathic traits in the general population. Furthermore, no studies have systematically and simultaneously assessed associations between distinct psychopathy facets and both threat- and reward-related brain function in the same sample of participants. Here, we examined the relationship between threat-related amygdala reactivity and reward-related ventral striatum (VS) reactivity and variation in four facets of self-reported psychopathy in a sample of 200 young adults. Path models indicated that amygdala reactivity to fearful facial expressions is negatively associated with the interpersonal facet of psychopathy, whereas amygdala reactivity to angry facial expressions is positively associated with the lifestyle facet. Furthermore, these models revealed that differential VS reactivity to positive versus negative feedback is negatively associated with the lifestyle facet. There was suggestive evidence for gender-specific patterns of association between brain function and psychopathy facets. Our findings are the first to document differential associations between both threat- and reward-related neural processes and distinct facets of psychopathy and thus provide a more comprehensive picture of the pattern of neural vulnerabilities that may predispose to maladaptive outcomes associated with psychopathy.

  15. Dissecting empathy: high levels of psychopathic and autistic traits are characterised by difficulties in different social information processing domains

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    Patricia L Lockwood

    2013-11-01

    Full Text Available Individuals with psychopathy or autism spectrum disorder (ASD can behave in ways that suggest lack of empathy towards others. However, many different cognitive and affective processes may lead to unempathic behavior and the social processing profiles of individuals with high psychopathic vs. ASD traits are likely different. Whilst psychopathy appears characterized by problems with resonating with others’ emotions, ASD appears characterized by problems with cognitive perspective-taking. In addition, alexithymia has previously been associated with both disorders, but the contribution of alexithymia needs further exploration. In a community sample (N=110 we show for the first time that although affective resonance and cognitive perspective-taking are related, high psychopathic traits relate to problems with resonating with others’ emotions, but not cognitive perspective taking. Conversely, high ASD traits relate to problems with cognitive perspective-taking but not resonating with others’ emotions. Alexithymia was associated with problems with affective resonance independently of psychopathic traits, suggesting that different component processes (reduced tendency to feel what others feel and reduced ability to identify and describe feelings comprise affective resonance. Alexithymia was not associated with the reduced cognitive perspective-taking in high ASD traits. Our data suggest that (1 elevated psychopathic and ASD traits are characterized by difficulties in different social information processing domains and (2 reduced affective resonance in individuals with elevated psychopathic traits and the reduced cognitive perspective taking in individuals with elevated ASD traits are not explained by co-occurring alexithymia. (3 Alexithymia is independently associated with reduced affective resonance. Consequently, our data point to different component processes within the construct of empathy that are suggestive of partially separable cognitive

  16. Psychopathic traits and offender characteristics – a nationwide consecutive sample of homicidal male adolescents

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    Putkonen Hanna

    2009-05-01

    Full Text Available Abstract Background The aim of the study was to evaluate psychopathy-like personality traits in a nationwide consecutive sample of adolescent male homicide offenders and to compare the findings with those of a randomly sampled adult male homicide offender group. A further aim was to investigate associations between psychopathic traits and offender and offence characteristics in adolescent homicides. Methods Forensic psychiatric examination reports and crime reports of all 15 to19- year- old male Finnish offenders who had been subjected to a forensic psychiatric examination and convicted for a homicide during 1995–2004 were collected (n = 57. A random sample of 57 adult male homicide offenders was selected as a comparison group. Offence and offender characteristics were collected from the files and a file-based assessment of psychopathic traits was performed using the Hare Psychopathy Checklist-Revised (PCL-R by trained raters. Results No significant differences existed between the adolescents and adults in PCL-R total scores, factor 2 (social deviance scores, or in facets 3 (lifestyle and 4 (antisocial. Adults scored significantly higher on factor 1 (interpersonal/affective and facets 1 (interpersonal and 2 (affective. The adolescent group was divided into two subgroups according to PCL-R total scores. One in five homicidal male adolescents met criteria for psychopathic personality using a PCL-R total score of 26 or higher. These boys significantly more often had a crime history before the index homicide, more frequently used excessive violence during the index homicide, more rarely lived with both parents until 16 years of age, had more institutional or foster home placements in childhood, had more school difficulties, more often had received special education, and, more often had contact with mental health services prior to age 18 years than boys scoring low on the PCL-R. They also more often had parental criminal history as well as homicide

  17. Psychopathic traits and offender characteristics – a nationwide consecutive sample of homicidal male adolescents

    Science.gov (United States)

    Lindberg, Nina; Laajasalo, Taina; Holi, Matti; Putkonen, Hanna; Weizmann-Henelius, Ghitta; Häkkänen-Nyholm, Helinä

    2009-01-01

    Background The aim of the study was to evaluate psychopathy-like personality traits in a nationwide consecutive sample of adolescent male homicide offenders and to compare the findings with those of a randomly sampled adult male homicide offender group. A further aim was to investigate associations between psychopathic traits and offender and offence characteristics in adolescent homicides. Methods Forensic psychiatric examination reports and crime reports of all 15 to19- year- old male Finnish offenders who had been subjected to a forensic psychiatric examination and convicted for a homicide during 1995–2004 were collected (n = 57). A random sample of 57 adult male homicide offenders was selected as a comparison group. Offence and offender characteristics were collected from the files and a file-based assessment of psychopathic traits was performed using the Hare Psychopathy Checklist-Revised (PCL-R) by trained raters. Results No significant differences existed between the adolescents and adults in PCL-R total scores, factor 2 (social deviance) scores, or in facets 3 (lifestyle) and 4 (antisocial). Adults scored significantly higher on factor 1 (interpersonal/affective) and facets 1 (interpersonal) and 2 (affective). The adolescent group was divided into two subgroups according to PCL-R total scores. One in five homicidal male adolescents met criteria for psychopathic personality using a PCL-R total score of 26 or higher. These boys significantly more often had a crime history before the index homicide, more frequently used excessive violence during the index homicide, more rarely lived with both parents until 16 years of age, had more institutional or foster home placements in childhood, had more school difficulties, more often had received special education, and, more often had contact with mental health services prior to age 18 years than boys scoring low on the PCL-R. They also more often had parental criminal history as well as homicide history of parents

  18. Feeling but not caring: empathic alteration in narcissistic men with high psychopathic traits.

    Science.gov (United States)

    Marcoux, Louis-Alexandre; Michon, Pierre-Emmanuel; Lemelin, Sophie; Voisin, Julien A; Vachon-Presseau, Etienne; Jackson, Philip L

    2014-12-30

    Psychopathy is a personality disorder characterized by specific interpersonal-affective deficits and social deviance often marked by reduced empathy and decreased affective response to the suffering of others. However, recent findings in community samples suggest that the somatosensory resonance to other's pain measured with electroencephalography (EEG) is increased by psychopathic traits. This study aimed at comparing both the response to physical pain and the observation of pain being inflicted to another person in individuals with clinically significant psychopathic traits, namely patients with severe narcissistic personality disorder (NPD, n=11), and community controls (CC, n=13). The gating of somatosensory responses to a tactile steady-state stimulation (25 Hz) during the observation of pain-evoking and non-painful visual stimuli of hands was measured using EEG. Pain thresholds were assessed with a quantitative sensory testing (QST) battery. NPD compared with CC subjects showed similar thermal pain thresholds, but significantly higher pain pressure thresholds (PPT). Significantly greater somatosensory gating (SG) during the anticipation and the observation of pain in others was observed in NPD compared with CC subjects, but this difference was not associated with differences in self-pain perception. SG to pain observation was positively correlated with the Impulsivity-Egocentricity (IE) dimension of psychopathy. These findings demonstrated a stronger somatosensory resonance in the high psychopathic trait NPD group that suggests an increased somatic representation of observed pain despite lower dispositional empathy. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  19. Bad boys don’t cry: A thematic analysis of interpersonal dynamics in interview narratives of young offenders with psychopathic traits

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    Julie eDe Ganck

    2015-07-01

    Full Text Available Most discussions of the social and interpersonal styles in individuals with strong psychopathic traits focus on their dangerousness or their affective and interpersonal deficiencies. This study has a different focus, and starts from the idea that such focus on the threat emanating from individuals with a psychopathic style might blind us from the logic inherent to their way of relating with the world. By means of a qualitative analysis (thematic analysis of narratives from a Lacanian talking therapy, this study examines how 15 youngsters with strong psychopathic traits make sense of interpersonal events and relations. The main recurring theme across these narratives was that others in general are fundamentally distrustful antagonists that they have to protect themselves from. Especially the father figure, with whom identification seems to take place, is seen as a violent actor. Consequently, these youngsters develop multiple strategies of dealing with the threat they experience in relation to (significant others. These relationship patterns also emerged within the therapeutic relationship, resulting in frequent testing of the therapist’s trustworthiness. The results of this study, discussed in terms of Lacanian theory, might help therapists to develop treatment approaches that better fit with the interpersonal orientation of individuals with strong psychopathic traits.

  20. The psychopath magnetized: insights from brain imaging

    Science.gov (United States)

    Anderson, Nathaniel E.; Kiehl, Kent A.

    2014-01-01

    Psychopaths commit a disproportionate amount of violent crime, and this places a substantial economic and emotional burden on society. Elucidation of the neural correlates of psychopathy may lead to improved management and treatment of the condition. Although some methodological issues remain, the neuroimaging literature is generally converging on a set of brain regions and circuits that are consistently implicated in the condition: the orbitofrontal cortex, amygdala, and the anterior and posterior cingulate and adjacent (para)limbic structures. We discuss these findings in the context of extant theories of psychopathy and highlight the potential legal and policy implications of this body of work. PMID:22177031

  1. Psychopathic Traits in Youth: Is There Evidence for Primary and Secondary Subtypes?

    Science.gov (United States)

    Lee, Zina; Salekin, Randall T.; Iselin, Anne-Marie R.

    2010-01-01

    The current study employed model-based cluster analysis in a sample of male adolescent offenders (n = 94) to examine subtypes based on psychopathic traits and anxiety. Using the Psychopathy Checklist: Youth Version (PCL:YV; Forth et al. 2003) and the self-report Antisocial Process Screening Device (APSD; Caputo et al. 1999), analyses identified…

  2. Construct Validity of the Psychopathic Personality Inventory Two-Factor Model with Offenders

    Science.gov (United States)

    Patrick, Christopher J.; Edens, John F.; Poythress, Norman G.; Lilienfeld, Scott O.; Benning, Stephen D.

    2006-01-01

    Much of the research on psychopathy has treated it as a unitary construct operationalized by total scores on one (or more) measures. More recent studies on the Psychopathic Personality Inventory (PPI) suggest the existence of two distinct facets of psychopathy with unique external correlates. Here, the authors report reanalyses of two offender…

  3. The Youth Psychopathic Traits Inventory: Measurement Invariance and Psychometric Properties among Portuguese Youths

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    Pedro Pechorro

    2016-08-01

    Full Text Available The aim of the present study was to examine the psychometric properties of the Youth Psychopathic Traits Inventory (YPI among a mixed-gender sample of 782 Portuguese youth (M = 15.87 years; SD = 1.72, in a school context. Confirmatory factor analysis revealed the expected three-factor first-order structure. Cross-gender measurement invariance and cross-sample measurement invariance using a forensic sample of institutionalized males were also confirmed. The Portuguese version of the YPI demonstrated generally adequate psychometric properties of internal consistency, mean inter-item correlation, convergent validity, discriminant validity, and criterion-related validity of statistically significant associations with conduct disorder symptoms, alcohol abuse, drug use, and unprotected sex. In terms of known-groups validity, males scored higher than females, and males from the school sample scored lower than institutionalized males. The use of the YPI among the Portuguese male and female youth population is psychometrically justified, and it can be a useful measure to identify adolescents with high levels of psychopathic traits.

  4. Autistic traits and positive psychotic experiences modulate the association of psychopathic tendencies with theory of mind in opposite directions.

    Science.gov (United States)

    Gillespie, Steven M; Mitchell, Ian J; Abu-Akel, Ahmad M

    2017-07-25

    Various clinical disorders, including psychopathy, and autism and schizophrenia spectrum disorders, have been linked with impairments in Theory of Mind (ToM). However, although these conditions can co-occur in the same individual, the effect of their inter-play on ToM abilities has not been investigated. Here we assessed ToM abilities in 55 healthy adults while performing a naturalistic ToM task, requiring participants to watch a short film and judge the actors' mental states. The results reveal for the first time that autistic traits and positive psychotic experiences interact with psychopathic tendencies in opposite directions to predict ToM performance-the interaction of psychopathic tendencies with autism traits was associated with a decrement in performance, whereas the interaction of psychopathic tendencies and positive psychotic experiences was associated with improved performance. These effects were specific to cognitive rather than affective ToM. These results underscore the importance of the simultaneous assessment of these dimensions within clinical settings. Future research in these clinical populations may benefit by taking into account such individual differences.

  5. "Let's get down to business: a validation study of the Psychopathic Personality Inventory among a sample of MBA students.".

    Science.gov (United States)

    Heinze, Peter; Allen, Rhianon; Magai, Carol; Ritzler, Barry

    2010-08-01

    While the Psychopathic Personality Inventory (PPI) has gained increasing attention as a measure of noncriminal psychopathy, absent has been research involving samples including business people. This study investigated the validity of the PPI with such a population by examining the association between psychopathic traits and moral decision-making among MBA students. Sixty-six MBA students were assessed using the PPI, the MACH-IV (a measure of Machiavellianism), the Ethical Position Questionnaire (EPQ), and the Defining Issues Test (DIT-2). Only PPI Machiavellian Egocentricity was associated with level of post-conventional moral reasoning. MACH-IV Machiavellianism was a stronger predictor of the Subjectivist ethical position than were PPI subscales. However, a combination of MACH-IV Machiavellianism and four PPI scales accounted for 46% of the variance in Subjectivism. Results suggested that Machiavellian Egocentricity and Machiavellianism are distinct constructs. Benning, Patrick, Hicks, Blonigen, & Krueger (2003)'s two factor model of the PPI was also supported. In general, the findings provided further validation for the PPI as a tool for assessing psychopathic traits among "mainstream" individuals, including business people.

  6. Association between psychopathic disorder and serum antibody to herpes simplex virus (type 1).

    Science.gov (United States)

    Cleobury, J F; Skinner, G R; Thouless, M E; Wildy, P

    1971-02-20

    The sera of a small of patients has been examined for herpes simplex virus antibody. Three clinically-defined groups of patients were compared: (a) aggressive psychopaths, (b) psychiatric controls, and (c) general hospital patients. The first group had an unusually high average kinetic neutralization constant against type 1 herpes simplex virus.

  7. The Development of Severe and Chronic Violence Among Youth: The Role of Psychopathic Traits and Reward Processing.

    Science.gov (United States)

    Reidy, Dennis E; Krusemark, Elizabeth; Kosson, David S; Kearns, Megan C; Smith-Darden, Joanne; Kiehl, Kent A

    2017-12-01

    Psychopathic traits are a manifestation of a personality pathology that comprises a core affective-interpersonal dysfunction (callous-unemotional traits) and an impulsive-antisocial behavioral component. Of particular importance, psychopathic traits are associated with the perpetration of some of the most severe acts of violence, and they appear to indicate a subset of youth at risk for earlier onset, greater frequency, and persistence of violent offending. Although these youth represent a minority of the population, they commit a significant proportion of the violence in the general community. In our review, we highlight evidence of a unique neurobiological predisposition that underlies the core affective deficits and describe contemporary accounts for the developmental processes leading to the antisocial behavior associated with psychopathy. Current evidence suggests that, for this subset of youth, the structure and function of neural circuitry supporting emotion processing, reward learning, decision making, and the development of emotion related to empathy may be crucial to understanding why they are at risk for violence. In particular, a reward dominant pattern of neurobehavioral conditioning may explain how these youth progress to some of the most severe and persistent forms of violence. However, this pattern of conditioning may also be essential to the primary prevention of such deleterious behavior. We suspect that effective strategies to prevent such violence may ultimately be informed by understanding these affective and motivational mechanisms.

  8. Born criminal? Differences in structural, functional and behavioural lateralization between criminals and noncriminals.

    Science.gov (United States)

    Savopoulos, Priscilla; Lindell, Annukka K

    2018-02-15

    Over 100 years ago Lombroso [(1876/2006). Criminal man. Durham: Duke University Press] proposed a biological basis for criminality. Based on inspection of criminals' skulls he theorized that an imbalance of the cerebral hemispheres was amongst 18 distinguishing features of the criminal brain. Specifically, criminals were less lateralized than noncriminals. As the advent of neuroscientific techniques makes more fine-grained inspection of differences in brain structure and function possible, we review criminals' and noncriminals' structural, functional, and behavioural lateralization to evaluate the merits of Lombroso's thesis and investigate the evidence for the biological underpinning of criminal behaviour. Although the body of research is presently small, it appears consistent with Lombroso's proposal: criminal psychopaths' brains show atypical structural asymmetries, with reduced right hemisphere grey and white matter volumes, and abnormal interhemispheric connectivity. Functional asymmetries are also atypical, with criminal psychopaths showing a less lateralized cortical response than noncriminals across verbal, visuo-spatial, and emotional tasks. Finally, the incidence of non-right-handedness is higher in criminal than non-criminal populations, consistent with reduced cortical lateralization. Thus despite Lombroso's comparatively primitive and inferential research methods, his conclusion that criminals' lateralization differs from that of noncriminals is borne out by the neuroscientific research. How atypical cortical asymmetries predispose criminal behaviour remains to be determined.

  9. Psychopathic Personality Traits and Environmental Contexts: Differential Correlates, Gender Differences, and Genetic Mediation

    Science.gov (United States)

    Hicks, Brian M.; Carlson, Marie D.; Blonigen, Daniel M.; Patrick, Christopher J.; Iacono, William G.; MGue, Matt

    2011-01-01

    Theorists have speculated that primary psychopathy (or Factor 1 affective-interpersonal features) is prominently heritable whereas secondary psychopathy (or Factor 2 social deviance) is more environmentally determined. We tested this differential heritability hypothesis using a large adolescent twin sample. Trait-based proxies of primary and secondary psychopathic tendencies were assessed using Multidimensional Personality Questionnaire (MPQ; Tellegen & Waller, 2008) estimates of Fearless Dominance and Impulsive Antisociality, respectively (Benning et al., 2005). The environmental contexts of family, school, peers, and stressful life events were assessed using multiple raters and methods. Consistent with prior research, MPQ Impulsive Antisociality was robustly associated with each environmental risk factor, and these associations were significantly greater than those for MPQ Fearless Dominance. However, MPQ Fearless Dominance and Impulsive Antisociality exhibited similar heritability, and genetic effects mediated the associations between MPQ Impulsive Antisociality and the environmental measures. Results were largely consistent across male and female twins. We conclude that gene-environment correlations rather than main effects of genes and environments account for the differential environmental correlates of primary and secondary psychopathy. PMID:22452762

  10. Latent Personality Profiles and the Relations with Psychopathology and Psychopathic Traits in Detained Adolescents

    Science.gov (United States)

    Decuyper, Mieke; Colins, Olivier F.; De Clercq, Barbara; Vermeiren, Robert; Broekaert, Eric; Bijttebier, Patricia; Roose, Annelore; De Fruyt, Filip

    2013-01-01

    The present study constructed empirically derived subtypes of adolescent offenders based on general traits and examined their associations with psychopathology and psychopathic traits. The sample included 342 detained minors (172 boys and 170 girls; mean age 15.85 years, SD = 1.07) recruited in various Youth Detention Centers across the Flemish…

  11. Psychopathy: clinical features, developmental basis and therapeutic challenges.

    Science.gov (United States)

    Thompson, D F; Ramos, C L; Willett, J K

    2014-10-01

    Psychopathy is a personality disorder characterized by deficits in personality and behaviour. Personality deficits are marked by interpersonal and affective facets, including pathological lying, grandiose sense of self-worth, lack of remorse and callousness. Behavioural deficits are defined by lifestyle and antisocial deficits, including impulsivity, parasitic lifestyle and poor behavioural controls. The objective of this review is to provide clinicians with (i) an appreciation of the clinical features of psychopathy, (ii) an understanding of the structural and functional derangements and the genetic and environmental factors which serve as the basis for the development of psychopathy and (iii) a summary of published reports of pharmacological approaches to the management of this disorder. A literature search of MEDLINE/PubMed (1966-present) was conducted using the MeSH search terms psychopathy and antisocial personality disorder alone and in combination with the subheading drug therapy. Additional databases included Web of Science (1945-present) and International Pharmaceutical Abstracts (1970-present) using the text words psychopath and antisocial personality were searched. A search of Amazon books using the search terms psychopathy and sociopathy was also performed. Bibliographies of relevant articles were searched for additional citations. All data sources in English were considered for inclusion. For background information, broad subject headings were searched for review articles first. Human and animal drug therapy articles were evaluated giving preference to those papers using a controlled trial methodology. Psychopathy is a personality disorder characterized by a lack of conscience, pathologic lying, manipulative behaviour and often superficial charm. The incidence of psychopathy in the general population is generally considered to be 0·6-4% with a higher proportion of males to females. Brain imaging studies of psychopaths suggest a smaller and less active

  12. Therapeutic Responses of Psychopathic Sexual Offenders: Treatment Attrition, Therapeutic Change, and Long-Term Recidivism

    Science.gov (United States)

    Olver, Mark E.; Wong, Stephen C. P.

    2009-01-01

    The authors examined the therapeutic responses of psychopathic sex offenders (greater than or equal to 25 Psychopathy Checklist-Revised; PCL-R) in terms of treatment dropout and therapeutic change, as well as sexual and violent recidivism over a 10-year follow-up among 156 federally incarcerated sex offenders treated in a high-intensity inpatient…

  13. Anticipation of guilt for everyday moral transgressions: The role of the anterior insula and the influence of interpersonal psychopathic traits.

    Science.gov (United States)

    Seara-Cardoso, Ana; Sebastian, Catherine L; McCrory, Eamon; Foulkes, Lucy; Buon, Marine; Roiser, Jonathan P; Viding, Essi

    2016-11-03

    Psychopathy is a personality disorder characterised by atypical moral behaviour likely rooted in atypical affective/motivational processing, as opposed to an inability to judge the wrongness of an action. Guilt is a moral emotion believed to play a crucial role in adherence to moral and social norms, but the mechanisms by which guilt (or lack thereof) may influence behaviour in individuals with high levels of psychopathic traits are unclear. We measured neural responses during the anticipation of guilt about committing potential everyday moral transgressions, and tested the extent to which these varied with psychopathic traits. We found a significant interaction between the degree to which anticipated guilt was modulated in the anterior insula and interpersonal psychopathic traits: anterior insula modulation of anticipated guilt was weaker in individuals with higher levels of these traits. Data from a second sample confirmed that this pattern of findings was specific to the modulation of anticipated guilt and not related to the perceived wrongness of the transgression. These results suggest a central role for the anterior insula in coding the anticipation of guilt regarding potential moral transgressions and advance our understanding of the neurocognitive mechanisms that may underlie propensity to antisocial behaviour.

  14. Fearful Faces do Not Lead to Faster Attentional Deployment in Individuals with Elevated Psychopathic Traits

    NARCIS (Netherlands)

    Hoppenbrouwers, Sylco S.; Munneke, Jaap; Kooiman, Karen A.; Little, Bethany; Neumann, Craig S.; Theeuwes, Jan

    2017-01-01

    In the current study, a gaze-cueing experiment (similar to Dawel et al. 2015) was conducted in which the predictivity of a gaze-cue was manipulated (non-predictive vs highly predictive). This was done to assess the degree to which individuals with elevated psychopathic traits can use contextual

  15. Psychopathic Traits and Their Relationship with the Cognitive Costs and Compulsive Nature of Lying in Offenders

    NARCIS (Netherlands)

    Verschuere, B.; in 't Hout, W.

    2016-01-01

    The cognitive view on deception holds that lying typically requires additional mental effort as compared to truth telling. Psychopathy, however, has been associated with swift and even compulsive lying, leading us to explore the ease and compulsive nature of lying in psychopathic offenders. We

  16. Obsessive compulsive disorder and psychopathic behaviour in Babylon.

    Science.gov (United States)

    Reynolds, Edward H; Kinnier Wilson, James V

    2012-02-01

    The history of obsessive compulsive, phobic and psychopathic behaviour can be traced to the 17th century AD. We draw attention to these behaviours in a Babylonian cuneiform medical text known as Shurpu. These three categories were united in the Babylonian mind around the concept of the māmīt 'oath' idea, the behaviour habits being so unbreakable it appeared that the subject had sworn an oath to do or not to do the action involved. The behavioural accounts were entirely objective, including what we would call immature, antisocial and criminal behaviour, and obsessional categories of contamination, aggression, orderliness of objects, sex and religion. They do not include subjective descriptions of obsessional thoughts, ruminations or the subject's attitude to their own behaviour, which are more modern fields of enquiry. The Babylonians had no understanding of brain or psychological function but they were remarkable describers of medical disease and behaviour. Although they had both physical and supernatural theories of many medical disorders and behaviours, they had an open mind on these particular behaviours which they regarded as a 'mystery' yet to be 'resolved'. We are not aware of comparable accounts of these behaviours in ancient Egyptian or classical medicine. These Babylonian descriptions extend the history of these disorders to the first half of the second millennium BC.

  17. The Mask of Sanity : Facial Expressive, Self-Reported, and Physiological Consequences of Emotion Regulation in Psychopathic Offenders

    NARCIS (Netherlands)

    Nentjes, L.; Bernstein, D.P.; Meijer, E.; Arntz, A.; Wiers, R.W.

    2016-01-01

    This study investigated the physiological, self-reported, and facial correlates of emotion regulation in psychopathy. Specifically, we compared psychopathic offenders (n = 42), nonpsychopathic offenders (n = 42), and nonoffender controls (n = 26) in their ability to inhibit and express emotion while

  18. Does affective theory of mind contribute to proactive aggression in boys with conduct problems and psychopathic tendencies?

    DEFF Research Database (Denmark)

    Gillespie, S.; Kongerslev, Mickey; Sharp, Carla

    2018-01-01

    Adolescent psychopathic tendencies are associated with phenotypic increases in proactive aggression. However, the extent to which an understanding of others’ affective mental states, or affective theory of mind (ToM), contributes to proactive aggression remains unknown. We examined how performance...

  19. The Study of Personality Traits and Demographic Characteristics of Prisoners with Psychopathic Personality Disorder in Comparison with Ordinary Prisoners in Sample of Tehran Prisoners, Tehran, Iran.

    Directory of Open Access Journals (Sweden)

    D Ghaderi

    2012-07-01

    Full Text Available

    Background and Objectives: Most conducted research about psychopathy has been done among Western countries' prisoners and it has remained unclear whether these findings are applicable in other contexts. The aim of this is to survey personality traits and demographic characteristics of prisoners with psychopathic personality disorder in comparison with ordinary prisoners in sample of Tehran prisoners.

     

    Methods: This study was done based on descriptive method. 202 prisoners were selected among Ray City prisoners in Tehran and the applied method was sample available. All prisoners completed Hare (PCL-SV psychopathic personality disorder checklist and five personality traits Questionnaire, McCare and Costa (Neo-FFI. Data were analyzed by Pearson correlation, Regression, and T student for independent groups.

     

    Results: The prevalence of psychopathy disorder among prisoners of this group was reported 10.89. Statistical analysis by Pearson correlation test, regression analysis and T student independent groups, represent a significant positive relationship between Psychopaty and extraversion (p=1% and a significant negative relationship between openness and Psychopaty (p=5%, agreeableness and conscientiousness (p=1%, respectively. No relationship was found between psychopathy, and neurosis. Furthermore, results indicated that, in comparison with non-psychopathic prisoners, psychopathic prisoners were more neurosis and extraversion, however, they showed low level of openness, agreeableness and conscientiousness.

     

    Conclusion: According to the findings, psychopathic disorder and five personality traits are related. Therefore, futher studies in the field of examined variables can provide more information.

  20. Psychopathic individuals exhibit but do not avoid regret during counterfactual decision making

    Science.gov (United States)

    Baskin-Sommers, Arielle; Stuppy-Sullivan, Allison M.; Buckholtz, Joshua W.

    2016-01-01

    Psychopathy is associated with persistent antisocial behavior and a striking lack of regret for the consequences of that behavior. Although explanatory models for psychopathy have largely focused on deficits in affective responsiveness, recent work indicates that aberrant value-based decision making may also play a role. On that basis, some have suggested that psychopathic individuals may be unable to effectively use prospective simulations to update action value estimates during cost–benefit decision making. However, the specific mechanisms linking valuation, affective deficits, and maladaptive decision making in psychopathy remain unclear. Using a counterfactual decision-making paradigm, we found that individuals who scored high on a measure of psychopathy were as or more likely than individuals low on psychopathy to report negative affect in response to regret-inducing counterfactual outcomes. However, despite exhibiting intact affective regret sensitivity, they did not use prospective regret signals to guide choice behavior. In turn, diminished behavioral regret sensitivity predicted a higher number of prior incarcerations, and moderated the relationship between psychopathy and incarceration history. These findings raise the possibility that maladaptive decision making in psychopathic individuals is not a consequence of their inability to generate or experience negative emotions. Rather, antisocial behavior in psychopathy may be driven by a deficit in the generation of forward models that integrate information about rules, costs, and goals with stimulus value representations to promote adaptive behavior. PMID:27911790

  1. Psychopathic individuals exhibit but do not avoid regret during counterfactual decision making.

    Science.gov (United States)

    Baskin-Sommers, Arielle; Stuppy-Sullivan, Allison M; Buckholtz, Joshua W

    2016-12-13

    Psychopathy is associated with persistent antisocial behavior and a striking lack of regret for the consequences of that behavior. Although explanatory models for psychopathy have largely focused on deficits in affective responsiveness, recent work indicates that aberrant value-based decision making may also play a role. On that basis, some have suggested that psychopathic individuals may be unable to effectively use prospective simulations to update action value estimates during cost-benefit decision making. However, the specific mechanisms linking valuation, affective deficits, and maladaptive decision making in psychopathy remain unclear. Using a counterfactual decision-making paradigm, we found that individuals who scored high on a measure of psychopathy were as or more likely than individuals low on psychopathy to report negative affect in response to regret-inducing counterfactual outcomes. However, despite exhibiting intact affective regret sensitivity, they did not use prospective regret signals to guide choice behavior. In turn, diminished behavioral regret sensitivity predicted a higher number of prior incarcerations, and moderated the relationship between psychopathy and incarceration history. These findings raise the possibility that maladaptive decision making in psychopathic individuals is not a consequence of their inability to generate or experience negative emotions. Rather, antisocial behavior in psychopathy may be driven by a deficit in the generation of forward models that integrate information about rules, costs, and goals with stimulus value representations to promote adaptive behavior.

  2. Validity of Rorschach Inkblot Scores for Discriminating Psychopaths from Nonpsychopaths in Forensic Populations: A Meta-Analysis

    Science.gov (United States)

    Wood, James M.; Lilienfeld, Scott O.; Nezworski, M. Teresa; Garb, Howard N.; Allen, Keli Holloway; Wildermuth, Jessica L.

    2010-01-01

    Gacono and Meloy (2009) have concluded that the Rorschach Inkblot Test is a sensitive instrument with which to discriminate psychopaths from nonpsychopaths. We examined the association of psychopathy with 37 Rorschach variables in a meta-analytic review of 173 validity coefficients derived from 22 studies comprising 780 forensic participants. All…

  3. Schizophrenia classification using functional network features

    Science.gov (United States)

    Rish, Irina; Cecchi, Guillermo A.; Heuton, Kyle

    2012-03-01

    This paper focuses on discovering statistical biomarkers (features) that are predictive of schizophrenia, with a particular focus on topological properties of fMRI functional networks. We consider several network properties, such as node (voxel) strength, clustering coefficients, local efficiency, as well as just a subset of pairwise correlations. While all types of features demonstrate highly significant statistical differences in several brain areas, and close to 80% classification accuracy, the most remarkable results of 93% accuracy are achieved by using a small subset of only a dozen of most-informative (lowest p-value) correlation features. Our results suggest that voxel-level correlations and functional network features derived from them are highly informative about schizophrenia and can be used as statistical biomarkers for the disease.

  4. Psychopathic predators? Getting specific about the relation between psychopathy and violence

    Science.gov (United States)

    Camp, Jacqueline P.; Skeem, Jennifer L.; Barchard, Kimberly; Lilienfeld, Scott O.; Poythress, Norman G.

    2014-01-01

    Objective The Psychopathy Checklist-Revised (PCL-R; Hare, 1991, 2003) is often used to assess risk of violence, perhaps based on the assumption that it captures emotionally detached individuals who are driven to prey upon others. This study is designed to assess the relation between (a) core interpersonal and affective traits of psychopathy and impulsive antisociality on the one hand, and (b) the risk of future violence, and patterns of motivation for past violence, on the other. Method A research team reliably assessed a sample of 158 male offenders for psychopathy, using both the interview-based PCL-R and the self-report Psychopathic Personality Inventory (PPI: Lilienfeld & Andrews, 1996). Then, a second, independent research team assessed offenders' lifetime patterns of violence and its motivation. After these baseline assessments, offenders were followed in prison and/or the community for up to one year to assess their involvement in three different forms of violence. Baseline and follow-up assessments included both interviews and reviews of official records. Results First, the PPI manifested incremental validity in predicting future violence over the PCL-R (but not vice versa) – and most of its predictive power derived solely from impulsive antisociality. Second, impulsive antisociality – not interpersonal and affective traits specific to psychopathy – were uniquely associated with instrumental lifetime patterns of past violence. The latter psychopathic traits are narrowly associated with deficits in motivation for violence (e.g., lack of fear; lack of provocation). Conclusion These findings and their consistency with some past research advise against broad generalizations about the relation between psychopathy and violence. PMID:23316742

  5. The Association between Persistent Disruptive Childhood Behaviour and the Psychopathic Personality Constellation in Adolescence: A Twin Study

    Science.gov (United States)

    Forsman, Mats; Larsson, Henrik; Andershed, Henrik; Lichtenstein, Paul

    2007-01-01

    This study tested if persistent externalizing behaviour and symptoms of Attention Deficit Hyperactivity Disorder (ADHD) in childhood are associated with personality and behavioural aspects of the psychopathic personality constellation in adolescence. The target sample consisted of all 1,480 twin pairs born in Sweden between 1985 and 1986.…

  6. Psychopathic traits in young offenders vs. non-offenders in similar socioeconomic condition

    Directory of Open Access Journals (Sweden)

    Gustavo B. Castellana

    2014-09-01

    Full Text Available Objective: To analyze the differences in psychopathic traits between offender and non-offender youths with similar socioeconomic backgrounds. Method: The Psychopathy Checklist Revised (PCL-R scale was used to identify whether 39 young offenders with no history of mental disorders or criteria for psychopathy exhibited differences in its total score, and specifically for factor 1 or factor 2 of this scale, when compared with 32 other young people, living in similar socioeconomic conditions, who had not committed offenses. Results: We observed statistically significant between-group differences (p < 0.01 in mean PCL-R scores, with a mean score of 13.4 in the offender group vs. 2.1 in the non-offender group. We also detected significant between-group differences when we analyzed mean factor 1 (p < 0.01 and factor 2 (p < 0.01 scores separately. Although the groups exhibited statistically significant difference in educational attainment, between-group comparison of mean PCL-R scores controlling for educational attainment by analysis of covariance (ANCOVA showed that the difference in PCL-R scores remained statistically significant (p < 0.01. Conclusions: We conclude that, in this sample, the presence of both primary (interpersonal/affective characteristics and secondary (lifestyle/antisocial behavior psychopathic traits differed between offender and non-offender youths, even when excluding psychopathy and other mental disorders from the assessments. These results suggest a need for wide-ranging interventions, not restricted to socioeconomic aspects, for the management of juvenile delinquency.

  7. Learning to "Talk the Talk": The Relationship of Psychopathic Traits to Deficits in Empathy across Childhood

    Science.gov (United States)

    Dadds, Mark R.; Hawes, David J.; Frost, Aaron D. J.; Vassallo, Shane; Bunn, Paul; Hunter, Kirsten; Merz, Sabine

    2009-01-01

    Background: Psychopathy is characterised by profound deficits in the human tendency to feel and care about what other people feel, often known as "affective empathy". On the other hand, the psychopath often has intact "cognitive" empathy skills, that is, he is able to describe what and why other people feel, even if he does not share or care about…

  8. [Cognition-Emotion Interactions and Psychopathic Personality: Distinct Pathways to Antisocial and Violent Behavior].

    Science.gov (United States)

    Verona, Edelyn

    Researchers have long acknowledged heterogeneity among persons who exhibit antisocial and violent behaviours. The study of psychopathic personality or psychopathy can help elucidate this heterogeneity through examination of the different facets that constitute this disorder. In particular, the distinct correlates of the interpersonal-affective traits (Factor 1) and the impulsive-antisocial traits (Factor 2) of psychopathy suggest at least two possible pathways to antisocial behaviours. Building on basic studies in cognitive and affective neuroscience, we provide a focused, non-comprehensive review of work identifying the biopsychological mechanisms involved in these two pathways, with special attention to studies using event-related potential (ERP) methods. In specific, a series of studies are discussed which examined affective and cognitive processes that may distinguish offenders high on psychopathic traits from other offenders, with emphasis on alterations in emotion-cognition interactions related to each factor of psychopathy. The set of findings reviewed highlight a central conclusion: Factor 1 represents a pathway involving reduced emotional responding, exacerbated by attentional abnormalities, that make for a more deliberate and emotionally insensitive offender profile. In contrast, Factor 2 characterizes a pathway marked by emotional and behavioural dysregulation and cognitive control dysfunctions, particularly in emotional contexts. Implications for identifying etiological processes and the further understanding of antisocial and violent behaviours are discussed.

  9. Psychopathic traits are associated with cortical and subcortical volume alterations in healthy individuals.

    Science.gov (United States)

    Vieira, Joana B; Ferreira-Santos, Fernando; Almeida, Pedro R; Barbosa, Fernando; Marques-Teixeira, João; Marsh, Abigail A

    2015-12-01

    Research suggests psychopathy is associated with structural brain alterations that may contribute to the affective and interpersonal deficits frequently observed in individuals with high psychopathic traits. However, the regional alterations related to different components of psychopathy are still unclear. We used voxel-based morphometry to characterize the structural correlates of psychopathy in a sample of 35 healthy adults assessed with the Triarchic Psychopathy Measure. Furthermore, we examined the regional grey matter alterations associated with the components described by the triarchic model. Our results showed that, after accounting for variation in total intracranial volume, age and IQ, overall psychopathy was negatively associated with grey matter volume in the left putamen and amygdala. Additional regression analysis with anatomical regions of interests revealed total triPM score was also associated with increased lateral orbitofrontal cortex (OFC) and caudate volume. Boldness was positively associated with volume in the right insula. Meanness was positively associated with lateral OFC and striatum volume, and negatively associated with amygdala volume. Finally, disinhibition was negatively associated with amygdala volume. Results highlight the contribution of both subcortical and cortical brain alterations for subclinical psychopathy and are discussed in light of prior research and theoretical accounts about the neurobiological bases of psychopathic traits. © The Author (2015). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  10. Do psychopathic traits assessed in mid-adolescence predict mental health, psychosocial, and antisocial, including criminal outcomes, over the subsequent 5 years?

    Science.gov (United States)

    Hemphälä, Malin; Hodgins, Sheilagh

    2014-01-01

    To determine whether psychopathic traits assessed in mid-adolescence predicted mental health, psychosocial, and antisocial (including criminal) outcomes 5 years later and would thereby provide advantages over diagnosing conduct disorder (CD). Eighty-six women and 61 men were assessed in mid-adolescence when they first contacted a clinic for substance misuse and were reassessed 5 years later. Assessments in adolescence include the Psychopathy Checklist-Youth Version (PCL-YV), and depending on their age, either the Kiddie-Schedule for Affective Disorders and Schizophrenia for School-Aged Children or the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (SCID). Assessments in early adulthood included the SCID, self-reports of psychosocial functioning, aggressive behaviour, and criminality and official criminal records. The antisocial facet score positively predicted the number of anxiety symptoms and likelihood of receiving treatment for substance use disorders (SUDs). Lifestyle and antisocial facet scores negatively predicted Global Assessment of Functioning scores. By contrast, the interpersonal score and male sex independently and positively predicted the number of months worked or studied, as did the interaction of Lifestyle × Sex indicating that among men, but not women, an increase in lifestyle facet score was associated with less time worked or studied. Interpersonal and antisocial scores positively predicted school drop-out. Antisocial facet scores predicted the number of symptoms of antisocial personality disorder, alcohol and SUDs, and violent and nonviolent criminality but much more strongly among males than females. Predictions from numbers of CD symptoms were similar. Psychopathic traits among adolescents who misuse substances predict an array of outcomes over the subsequent 5 years. Information on the levels of these traits may be useful for planning treatment.

  11. Stroop tasks reveal abnormal selective attention among psychopathic offenders.

    Science.gov (United States)

    Hiatt, Kristina D; Schmitt, William A; Newman, Joseph P

    2004-01-01

    Selective attention among offenders with psychopathy was investigated using 3 Stroop paradigms: a standard color-word (CW) Stroop, a picture-word (PW) Stroop, and a color-word Stroop in which the word and color were spatially separated (separated CW). Consistent with "overselective" attention, offenders with psychopathy displayed reduced Stroop interference on the separated CW and PW tasks relative to offenders who were not psychopathic. However, offenders with psychopathy displayed normal Stroop interference on the standard CW Stroop. Further, the reduced interference of offenders with psychopathy on the separated CW Stroop was accompanied by normal facilitation. These findings suggest a circumscribed attentional deficit in psychopathy that hinders the use of unattended information that is (a) not integrated with deliberately attended information and (b) not compatible with current goal-directed behavior. ((c) 2004 APA, all rights reserved)

  12. Second feature of the matter two-point function

    Science.gov (United States)

    Tansella, Vittorio

    2018-05-01

    We point out the existence of a second feature in the matter two-point function, besides the acoustic peak, due to the baryon-baryon correlation in the early Universe and positioned at twice the distance of the peak. We discuss how the existence of this feature is implied by the well-known heuristic argument that explains the baryon bump in the correlation function. A standard χ2 analysis to estimate the detection significance of the second feature is mimicked. We conclude that, for realistic values of the baryon density, a SKA-like galaxy survey will not be able to detect this feature with standard correlation function analysis.

  13. Denial of risk: The effects of positive impression management on risk assessments for psychopathic and nonpsychopathic offenders.

    Science.gov (United States)

    Gillard, Nathan D; Rogers, Richard

    2015-01-01

    Risk assessments for offenders often combine past records with current clinical findings from observations, interviews, and test data. Conclusions based on these risk assessments are highly consequential, sometimes resulting in increased criminal sentences or prolonged hospitalization. Therefore, many offenders are motivated to intentionally minimize risk factors and their negative consequences. Positive impression management (PIM) is especially likely to occur in offenders with high psychopathic traits because goal-directed deception is reflected in several of psychopathy's core traits of the disorder, such as manipulativeness, glibness, and superficial charm. However, this connection appears to be based on the conceptual understanding of psychopathy, and has rarely been examined empirically for either frequency of or success at deception. The current study examined the ability of a jail sample to intentionally minimize risk factors and related criminal attributes using a repeated measures, simulation design. In general, offenders were able to effectively use PIM to lower scores on the HCR-20 and the Self-Appraisal Questionnaire (SAQ), while the Psychological Inventory of Criminal Thinking Styles (PICTS), as a measure of cognitive styles, was more resistant to such minimization. Psychopathic traits, especially high Factor 1 scores (i.e., affective/interpersonal), were associated with greater PIM. Important differences in the willingness and ability to use deception were found based on the (a) mode of administration (i.e., interview vs. self-report) and (b) level of psychopathy as measured by the Psychopathy Checklist - Revised (PCL-R). The important implications of this research are discussed for risk assessment procedures regarding likely areas of deception and its detection. The current research also informs the growing literature on the connection between psychopathic traits and deception. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. A Comparison of the Psychometric Properties of the Psychopathic Personality Inventory Full-Length and Short-Form Versions

    Science.gov (United States)

    Kastner, Rebecca M.; Sellbom, Martin; Lilienfeld, Scott O.

    2012-01-01

    The Psychopathic Personality Inventory (PPI) has shown promising construct validity as a measure of psychopathy. Because of its relative efficiency, a short-form version of the PPI (PPI-SF) was developed and has proven useful in many psychopathy studies. The validity of the PPI-SF, however, has not been thoroughly examined, and no studies have…

  15. Functionality of system components: Conservation of protein function in protein feature space

    DEFF Research Database (Denmark)

    Jensen, Lars Juhl; Ussery, David; Brunak, Søren

    2003-01-01

    well on organisms other than the one on which it was trained. We evaluate the performance of such a method, ProtFun, which relies on protein features as its sole input, and show that the method gives similar performance for most eukaryotes and performs much better than anticipated on archaea......Many protein features useful for prediction of protein function can be predicted from sequence, including posttranslational modifications, subcellular localization, and physical/chemical properties. We show here that such protein features are more conserved among orthologs than paralogs, indicating...... they are crucial for protein function and thus subject to selective pressure. This means that a function prediction method based on sequence-derived features may be able to discriminate between proteins with different function even when they have highly similar structure. Also, such a method is likely to perform...

  16. Linking structural features of protein complexes and biological function.

    Science.gov (United States)

    Sowmya, Gopichandran; Breen, Edmond J; Ranganathan, Shoba

    2015-09-01

    Protein-protein interaction (PPI) establishes the central basis for complex cellular networks in a biological cell. Association of proteins with other proteins occurs at varying affinities, yet with a high degree of specificity. PPIs lead to diverse functionality such as catalysis, regulation, signaling, immunity, and inhibition, playing a crucial role in functional genomics. The molecular principle of such interactions is often elusive in nature. Therefore, a comprehensive analysis of known protein complexes from the Protein Data Bank (PDB) is essential for the characterization of structural interface features to determine structure-function relationship. Thus, we analyzed a nonredundant dataset of 278 heterodimer protein complexes, categorized into major functional classes, for distinguishing features. Interestingly, our analysis has identified five key features (interface area, interface polar residue abundance, hydrogen bonds, solvation free energy gain from interface formation, and binding energy) that are discriminatory among the functional classes using Kruskal-Wallis rank sum test. Significant correlations between these PPI interface features amongst functional categories are also documented. Salt bridges correlate with interface area in regulator-inhibitors (r = 0.75). These representative features have implications for the prediction of potential function of novel protein complexes. The results provide molecular insights for better understanding of PPIs and their relation to biological functions. © 2015 The Protein Society.

  17. No sympathy for the devil: attributing psychopathic traits to capital murderers also predicts support for executing them.

    Science.gov (United States)

    Edens, John F; Davis, Karen M; Fernandez Smith, Krissie; Guy, Laura S

    2013-04-01

    Mental health evidence concerning antisocial and psychopathic traits appears to be introduced frequently in capital murder trials in the United States to argue that defendants are a "continuing threat" to society and thus worthy of execution. Using a simulation design, the present research examined how layperson perceptions of the psychopathic traits exhibited by a capital defendant would impact their attitudes about whether he should receive a death sentence. Across three studies (total N = 362), ratings of a defendant's perceived level of psychopathy strongly predicted support for executing him. The vast majority of the predictive utility was attributable to interpersonal and affective traits historically associated with psychopathy rather than traits associated with a criminal and socially deviant lifestyle. A defendant's perceived lack of remorse in particular was influential, although perceptions of grandiose self-worth and a manipulative interpersonal style also contributed incrementally to support for a death sentence. These results highlight how attributions regarding socially undesirable personality traits can have a pronounced negative impact on layperson attitudes toward persons who are perceived to exhibit these characteristics. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  18. Automatic processing of unattended object features by functional connectivity

    Directory of Open Access Journals (Sweden)

    Katja Martina Mayer

    2013-05-01

    Full Text Available Observers can selectively attend to object features that are relevant for a task. However, unattended task-irrelevant features may still be processed and possibly integrated with the attended features. This study investigated the neural mechanisms for processing both task-relevant (attended and task-irrelevant (unattended object features. The Garner paradigm was adapted for functional magnetic resonance imaging (fMRI to test whether specific brain areas process the conjunction of features or whether multiple interacting areas are involved in this form of feature integration. Observers attended to shape, colour, or non-rigid motion of novel objects while unattended features changed from trial to trial (change blocks or remained constant (no-change blocks during a given block. This block manipulation allowed us to measure the extent to which unattended features affected neural responses which would reflect the extent to which multiple object features are automatically processed. We did not find Garner interference at the behavioural level. However, we designed the experiment to equate performance across block types so that any fMRI results could not be due solely to differences in task difficulty between change and no-change blocks. Attention to specific features localised several areas known to be involved in object processing. No area showed larger responses on change blocks compared to no-change blocks. However, psychophysiological interaction analyses revealed that several functionally-localised areas showed significant positive interactions with areas in occipito-temporal and frontal areas that depended on block type. Overall, these findings suggest that both regional responses and functional connectivity are crucial for processing multi-featured objects.

  19. The neurobiology of psychopathy: a neurodevelopmental perspective.

    Science.gov (United States)

    Gao, Yu; Glenn, Andrea L; Schug, Robert A; Yang, Yaling; Raine, Adrian

    2009-12-01

    We provide an overview of the neurobiological underpinnings of psychopathy. Cognitive and affective-emotional processing deficits are associated with abnormal brain structure and function, particularly the amygdala and orbitofrontal cortex. There is limited evidence of lower cortisol levels being associated with psychopathic personality. Initial developmental research is beginning to suggest that these neurobiological processes may have their origins early in life. Findings suggest that psychopathic personality may, in part, have a neurodevelopmental basis. Future longitudinal studies delineating neurobiological correlates of the analogues of interpersonal-affective and antisocial features of psychopathy in children are needed to further substantiate a neurodevelopmental hypothesis of psychopathy.

  20. Fearless dominance and the U.S. presidency: implications of psychopathic personality traits for successful and unsuccessful political leadership.

    Science.gov (United States)

    Lilienfeld, Scott O; Waldman, Irwin D; Landfield, Kristin; Watts, Ashley L; Rubenzer, Steven; Faschingbauer, Thomas R

    2012-09-01

    Although psychopathic personality (psychopathy) is marked largely by maladaptive traits (e.g., poor impulse control, lack of guilt), some authors have conjectured that some features of this condition (e.g., fearlessness, interpersonal dominance) are adaptive in certain occupations, including leadership positions. We tested this hypothesis in the 42 U.S. presidents up to and including George W. Bush using (a) psychopathy trait estimates derived from personality data completed by historical experts on each president, (b) independent historical surveys of presidential leadership, and (c) largely or entirely objective indicators of presidential performance. Fearless Dominance, which reflects the boldness associated with psychopathy, was associated with better rated presidential performance, leadership, persuasiveness, crisis management, Congressional relations, and allied variables; it was also associated with several largely or entirely objective indicators of presidential performance, such as initiating new projects and being viewed as a world figure. Most of these associations survived statistical control for covariates, including intellectual brilliance, five factor model personality traits, and need for power. In contrast, Impulsive Antisociality and related traits of psychopathy were generally unassociated with rated presidential performance, although they were linked to some largely or entirely objective indicators of negative job performance, including Congressional impeachment resolutions, tolerating unethical behavior in subordinates, and negative character. These findings indicate that the boldness associated with psychopathy is an important but heretofore neglected predictor of presidential performance, and suggest that certain features of psychopathy are tied to successful interpersonal behavior.

  1. Emotional reactivity and regulation in individuals with psychopathic traits: Evidence for a disconnect between neurophysiology and self-report.

    Science.gov (United States)

    Ellis, Jennifer D; Schroder, Hans S; Patrick, Christopher J; Moser, Jason S

    2017-10-01

    Individuals with psychopathic traits often demonstrate blunted reactivity to negative emotional stimuli. However, it is not yet clear whether these individuals also have difficulty regulating their emotional responses to negative stimuli. To address this question, participants with varying levels of psychopathic traits (indexed by the Triarchic Measure of Psychopathy; Patrick, 2010) completed a task in which they passively viewed, increased, or decreased their emotions to negative picture stimuli while electrocortical activity was recorded. During passive viewing of negative images, higher boldness, but not higher disinhibition or meanness, was associated with reduced amplitude of the late positive potential (LPP), an ERP that indexes reactivity to emotionally relevant stimuli. However, all participants demonstrated expected enhancement of the LPP when asked to increase their emotional response. Participants did not show expected suppression of the LPP when asked to decrease their emotional response. Contrary to the electrophysiological data, individuals with higher boldness did not self-report experiencing blunted emotional response during passive viewing trials, and they reported experiencing greater emotional reactivity relative to other participants when regulating (e.g., both increasing and decreasing) their emotions. Results suggest inconsistency between physiological and self-report indices of emotion among high-bold individuals during both affective processing and regulation. © 2017 Society for Psychophysiological Research.

  2. Audio feature extraction using probability distribution function

    Science.gov (United States)

    Suhaib, A.; Wan, Khairunizam; Aziz, Azri A.; Hazry, D.; Razlan, Zuradzman M.; Shahriman A., B.

    2015-05-01

    Voice recognition has been one of the popular applications in robotic field. It is also known to be recently used for biometric and multimedia information retrieval system. This technology is attained from successive research on audio feature extraction analysis. Probability Distribution Function (PDF) is a statistical method which is usually used as one of the processes in complex feature extraction methods such as GMM and PCA. In this paper, a new method for audio feature extraction is proposed which is by using only PDF as a feature extraction method itself for speech analysis purpose. Certain pre-processing techniques are performed in prior to the proposed feature extraction method. Subsequently, the PDF result values for each frame of sampled voice signals obtained from certain numbers of individuals are plotted. From the experimental results obtained, it can be seen visually from the plotted data that each individuals' voice has comparable PDF values and shapes.

  3. Pain Processing in a Social Context and the Link with Psychopathic Personality Traits—An Event-Related Potential Study

    Directory of Open Access Journals (Sweden)

    Casper H. van Heck

    2017-09-01

    Full Text Available Empathy describes the ability to understand another person’s feelings. Psychopathy is a disorder that is characterized by a lack of empathy. Therefore, empathy and psychopathy are interesting traits to investigate with respect to experiencing and observing pain. The present study aimed to investigate pain empathy and pain sensitivity by measuring event-related potentials (ERPs extracted from the ongoing EEG in an interactive setup. Each participant fulfilled subsequently the role of “villain” and “victim”. In addition, mode of control was modulated resulting in four different conditions; passive villain, active villain, active victim and passive victim. Response-, visual- and pain ERPs were compared between the four conditions. Furthermore, the role of psychopathic traits in these outcomes was investigated. Our findings suggested that people experience more conflict when hurting someone else than hurting themselves. Furthermore, our results indicated that self-controlled pain was experienced as more painful than uncontrolled pain. People that scored high on psychopathic traits seemed to process and experience pain differently. According to the results of the current study, social context, attention and personality traits seem to modulate pain processing and the empathic response to pain in self and others. The within-subject experimental design described here provides an excellent approach to further unravel the influence of social context and personality traits on social cognition.

  4. Morality and Psychopathic Criminals. Ethicocentrism, Mental Incapacity, Free Will, and the Fear of Decriminalization

    Directory of Open Access Journals (Sweden)

    Lorenzo Magnani

    2012-01-01

    Full Text Available Present-day legal judgments of psychopathic criminals strongly avoid the exploitation of “moral” considerations. Currently, the attribution of responsibility to criminals often takes advantage of the cognitive concept of mental incapacity so that, in these cases, the moral judgment about moral conducts of “psycho-pathological” criminals is potentially extinguished. I contend that the theories and methods that are currently used in western societies to discharge moral and legal responsibility are not clear in their epistemic structure and so partially unreliable. To support this conclusion I take advantage of my recent cognitive studies concerning the multiplicity of moral frameworks, the gene/cognitive niche co-evolution, and the concept of free will.

  5. Self-esteem and styles of coping with stress versus strategies of planning in people with psychopathic personality disorders

    OpenAIRE

    Pastwa-Wojciechowska, Beata; Ka?mierczak, Maria; B?a?ek, Magdalena

    2012-01-01

    Summary Background Psychopathy is a notion that has been difficult to define. The operational definition of psychopathy by Hare is one of the most commonly used in psychology and it is usually identified with the scale used to measure this type of personality, which is the Psychopathy Checklist - Revision (PCL-R). PCL-R is composed of two factors: Factor 1 describes a constellation of psychopathic traits considered by many clinicians to be basic for this type of personality, and Factor 2 desc...

  6. Learning-style bias and the development of psychopathy.

    Science.gov (United States)

    Moul, Caroline; Dadds, Mark R

    2013-02-01

    In accordance with a recently proposed account of amygdala function in psychopathy, it is hypothesized that people with high levels of psychopathic personality traits have a bias in learning style to encode the general valence, and neglect the specific-features, of an outcome. We present a novel learning task designed to operationalize these biases in learning style. The results from pilot samples of healthy adults and children and from a clinical sample of children with conduct problems provide support for the validity of the learning task as a measure of learning style and demonstrate a significant relationship between general-valence style learning and psychopathic personality traits. It is suggested that this relationship may be important for the aetiology of the social-cognitive deficits exhibited by psychopaths. These preliminary results suggest that this measure of learning style has the potential to be utilized as a research tool and may assist with the early identification, and treatment, of children with conduct problems and high levels of callous-unemotional traits.

  7. Identifying Careless Responding With the Psychopathic Personality Inventory-Revised Validity Scales.

    Science.gov (United States)

    Marcus, David K; Church, Abere Sawaqdeh; O'Connell, Debra; Lilienfeld, Scott O

    2018-01-01

    The Psychopathic Personality Inventory-Revised (PPI-R) includes validity scales that assess Deviant Responding (DR), Virtuous Responding, and Inconsistent Responding. We examined the utility of these scales for identifying careless responding using data from two online studies that examined correlates of psychopathy in college students (Sample 1: N = 583; Sample 2: N = 454). Compared with those below the cut scores, those above the cut on the DR scale yielded consistently lower validity coefficients when PPI-R scores were correlated with corresponding scales from the Triarchic Psychopathy Measure. The other three PPI-R validity scales yielded weaker and less consistent results. Participants who completed the studies in an inordinately brief amount of time scored significantly higher on the DR and Virtuous Responding scales than other participants. Based on the findings from the current studies, researchers collecting PPI-R data online should consider identifying and perhaps screening out respondents with elevated scores on the DR scale.

  8. Infants' Developing Sensitivity to Object Function: Attention to Features and Feature Correlations

    Science.gov (United States)

    Baumgartner, Heidi A.; Oakes, Lisa M.

    2011-01-01

    When learning object function, infants must detect relations among features--for example, that squeezing is associated with squeaking or that objects with wheels roll. Previously, Perone and Oakes (2006) found 10-month-old infants were sensitive to relations between object appearances and actions, but not to relations between appearances and…

  9. Mapping genomic features to functional traits through microbial whole genome sequences.

    Science.gov (United States)

    Zhang, Wei; Zeng, Erliang; Liu, Dan; Jones, Stuart E; Emrich, Scott

    2014-01-01

    Recently, the utility of trait-based approaches for microbial communities has been identified. Increasing availability of whole genome sequences provide the opportunity to explore the genetic foundations of a variety of functional traits. We proposed a machine learning framework to quantitatively link the genomic features with functional traits. Genes from bacteria genomes belonging to different functional traits were grouped to Cluster of Orthologs (COGs), and were used as features. Then, TF-IDF technique from the text mining domain was applied to transform the data to accommodate the abundance and importance of each COG. After TF-IDF processing, COGs were ranked using feature selection methods to identify their relevance to the functional trait of interest. Extensive experimental results demonstrated that functional trait related genes can be detected using our method. Further, the method has the potential to provide novel biological insights.

  10. The Youth Psychopathic Traits Inventory: A Bifactor Model, Dimensionality, and Measurement Invariance.

    Science.gov (United States)

    Zwaanswijk, Wendy; Veen, Violaine C; Vedder, Paul

    2017-10-01

    The current study examines a bifactor model for the Youth Psychopathic Traits Inventory (YPI) in a Dutch community sample of adolescents ( N = 2,874). The primary goal was to examine the latent structure of the YPI with a bifactor modeling approach. Furthermore, the study examines the dimensionality and measurement invariance of the YPI. Results show that a bifactor model at subscale level fits the YPI best. The general psychopathy factor influences the 10 subscales of the YPI strongly, indicating that the YPI seems to be rather unidimensional than multidimensional. Nevertheless, the dimensions still explain nearly one third of the variance found. Findings imply that the bifactor model of the YPI should be used when examining relations with outcome variables, with a focus on the total score of the YPI, while factor scores should be reported with caution. Furthermore, the bifactor model appears invariant for gender, age, and ethnic background.

  11. Reduced prefrontal connectivity in psychopathy.

    Science.gov (United States)

    Motzkin, Julian C; Newman, Joseph P; Kiehl, Kent A; Koenigs, Michael

    2011-11-30

    Linking psychopathy to a specific brain abnormality could have significant clinical, legal, and scientific implications. Theories on the neurobiological basis of the disorder typically propose dysfunction in a circuit involving ventromedial prefrontal cortex (vmPFC). However, to date there is limited brain imaging data to directly test whether psychopathy may indeed be associated with any structural or functional abnormality within this brain area. In this study, we employ two complementary imaging techniques to assess the structural and functional connectivity of vmPFC in psychopathic and non-psychopathic criminals. Using diffusion tensor imaging, we show that psychopathy is associated with reduced structural integrity in the right uncinate fasciculus, the primary white matter connection between vmPFC and anterior temporal lobe. Using functional magnetic resonance imaging, we show that psychopathy is associated with reduced functional connectivity between vmPFC and amygdala as well as between vmPFC and medial parietal cortex. Together, these data converge to implicate diminished vmPFC connectivity as a characteristic neurobiological feature of psychopathy.

  12. Disrupted neural processing of emotional faces in psychopathy.

    Science.gov (United States)

    Contreras-Rodríguez, Oren; Pujol, Jesus; Batalla, Iolanda; Harrison, Ben J; Bosque, Javier; Ibern-Regàs, Immaculada; Hernández-Ribas, Rosa; Soriano-Mas, Carles; Deus, Joan; López-Solà, Marina; Pifarré, Josep; Menchón, José M; Cardoner, Narcís

    2014-04-01

    Psychopaths show a reduced ability to recognize emotion facial expressions, which may disturb the interpersonal relationship development and successful social adaptation. Behavioral hypotheses point toward an association between emotion recognition deficits in psychopathy and amygdala dysfunction. Our prediction was that amygdala dysfunction would combine deficient activation with disturbances in functional connectivity with cortical regions of the face-processing network. Twenty-two psychopaths and 22 control subjects were assessed and functional magnetic resonance maps were generated to identify both brain activation and task-induced functional connectivity using psychophysiological interaction analysis during an emotional face-matching task. Results showed significant amygdala activation in control subjects only, but differences between study groups did not reach statistical significance. In contrast, psychopaths showed significantly increased activation in visual and prefrontal areas, with this latest activation being associated with psychopaths' affective-interpersonal disturbances. Psychophysiological interaction analyses revealed a reciprocal reduction in functional connectivity between the left amygdala and visual and prefrontal cortices. Our results suggest that emotional stimulation may evoke a relevant cortical response in psychopaths, but a disruption in the processing of emotional faces exists involving the reciprocal functional interaction between the amygdala and neocortex, consistent with the notion of a failure to integrate emotion into cognition in psychopathic individuals.

  13. Initial development of the Psychopathic Processing and Personality Assessment (PAPA) across populations.

    Science.gov (United States)

    Lewis, Michael; Ireland, Jane L; Abbott, Janice; Ireland, Carol A

    Three studies describe development of the Psychopathic Processing and Personality Assessment (PAPA). Study one outlines a literature review and Expert Delphi (n=32) to develop the initial PAPA. Study two validates the PAPA with 431 participants (121 male prisoners and 310 university students: 154 men, 156 women), also using the Levenson Self Report Psychopathy scale and a measure of cognitive schema and affect. Study three refined the PAPA, employing it with 50 male students and 40 male forensic psychiatric patients using clinical (interview) assessments of psychopathy: the Psychopathy Checklist - Screening Version and the Affect, Cognitive and Lifestyle assessment. The PAPA comprised four factors; dissocial tendencies; emotional detachment; disregard for others; and lack of sensitivity to emotion. It positively correlated with existing psychopathy measures. Variations across PAPA subscales were noted across samples when associated with clinical measures of psychopathy. Support for the validity of the PAPA was indicated across samples. Directions for research and application are outlined. Copyright © 2017 Elsevier Ltd. All rights reserved.

  14. Technical Evaluation Report 51: Text-based Conferencing: Features vs. functionality

    Directory of Open Access Journals (Sweden)

    Lynn Anderson

    2005-11-01

    Full Text Available This report examines three text-based conferencing products: WowBB, Invision Power Board, and vBulletin. Their selection was prompted by a feature-by-feature comparison of the same products on the WowBB website. The comparison chart painted a misleading impression of WowBB’s features in relation to the other two products; so the evaluation team undertook a more comprehensive and impartial comparison using the categories and criteria for online software evaluation developed by the American Society for Training and Development (ASTD. The findings are summarised in terms of the softwares’ pricing, common features/ functions, and differentiating features.

  15. [Forensic neuropsychology at the challenge of the relationship between cognition and emotion in psychopathy].

    Science.gov (United States)

    Alcázar-Córcoles, M A; Verdejo-García, A; Bouso-Saiz, J C

    The relationship between frontal lobe damage and criminality is especially complex. The neural substrates of psychopathic behavior seem to involve structural and functional abnormalities in the frontal lobes and the limbic system. AIM. To analyze the repercussions that brain structural and functional abnormalities in psychopathic individuals may have for forensic neuropsychology. Consistent evidence indicate that response inhibition problems in psychopathic subjects are linked to structural or functional damage in the frontal cortex. Furthermore, the prefrontal cortex, along with the amygdala and the hippocampus forms the limbic system, which is an important neural substrate of emotion processing; therefore the psychopath's capacity of affective processing could also be impaired. The theoretical frameworks of the somatic marker and mirror neuron hypotheses, along with the empirical study of executive functions may contribute to explain the inability of the psychopathic subjects to feel empathy, which is one of the main inhibitors of violence and antisocial behavior. The relationship between frontal lobe dysfunction and antisocial behavior arises an important legal issue. In order to consider some type of minor liability in the case of psychopaths it is suggested to gather further research data about the relationship between frontal lobe dysfunction and the ability to inhibit antisocial behavior by making an adequate use of empathy and emotional ties.

  16. The King of Norway: negative individuation, the hero myth and psychopathic narcissism in extreme violence and the life of Anders Behring Breivik.

    Science.gov (United States)

    Virtanen, Harri

    2013-11-01

    The paper discusses negative individuation and the hero myth as developmental concepts. It is suggested that in negative individuation healthy psychological development is hindered and goes astray. Aggression then becomes the central psychic system. Repressed anger is the core element in psychopathic narcissism (Diamond) and malignant narcissism (Kernberg). Both Diamond and Kernberg extend narcissistic personality structure to antisocial, psychopathic personality in an effort to better understand extreme violence. According to Freud, love (libido) and hate (the death drive) are the major motivational systems in the human psyche. In contrast to Freud, Jung sees libido as a life force in general, not simply as a sexual drive. Jung writes about evil and the shadow but does not present a comprehensive theory of the negative development of an individual's life. The concept of negative individuation connects the shadow and the death drive with psychopathology, psychiatry and psychotherapy. In this paper, I explore these concepts in the light of contemporary affect theory according to Kernberg. I also ask how ideology is tied to extreme violence and how it is possible that narcissistic personality structures can lead to such radically different outcomes as were manifested in the lives of Anders Behring Breivik and Steve Jobs. © 2013, The Society of Analytical Psychology.

  17. Psychopathy: what apology making tells us about moral agency.

    Science.gov (United States)

    Ayob, Gloria; Thornton, Tim

    2014-02-01

    Psychopathy is often used to settle disputes about the nature of moral judgment. The "trolley problem" is a familiar scenario in which psychopathy is used as a test case. Where a convergence in response to the trolley problem is registered between psychopathic subjects and non-psychopathic (normal) subjects, it is assumed that this convergence indicates that the capacity for making moral judgments is unimpaired in psychopathy. This, in turn, is taken to have implications for the dispute between motivation internalists and motivation externalists, for instance. In what follows, we want to do two things: firstly, we set out to question the assumption that convergence is informative of the capacity for moral judgment in psychopathy. Next, we consider a distinct feature of psychopathy which we think provides strong grounds for holding that the capacity for moral judgment is seriously impaired in psychopathic subjects. The feature in question is the psychopathic subject's inability to make sincere apologies. Our central claim will be this: convergence in response to trolley problems does not tell us very much about the psychopathic subject's capacity to make moral judgments, but his inability to make sincere apologies does provide us with strong grounds for holding that this capacity is seriously impaired in psychopathy.

  18. Clinician ratings of the Comprehensive Assessment of Psychopathic Personality (CAPP) in a representative sample of Spanish prison inmates: New validity evidence.

    Science.gov (United States)

    Flórez, Gerardo; Ferrer, Ventura; García, Luis S; Crespo, María R; Pérez, Manuel; Saíz, Pilar A; Cooke, David J

    2018-01-01

    The Comprehensive Assessment of Psychopathic Personality (CAPP) is a concept map of psychopathic personality disorder (PPD). The CAPP- Institutional Rating Scale (IRS) is a tool designed to assess CAPP symptoms in institutional settings. The CAPP contains 33 personality traits organized in six domains: attachment, behavioural, cognitive, dominance, emotional and self. Until now, much of the CAPP research has been conducted out of clinical, forensic and correctional settings using self-ratings. In the current study, the psychometric properties and construct validity of the CAPP-IRS were evaluated in a non-convenience sample of 204 Spanish convicts. Clinician ratings were employed. Participants had been imprisoned for at least 6 months at Pereiro de Aguiar Penitentiary. This group of inmates was heterogeneous with respect to type of official charges, and representative as all convicts interned for at least 6 months in this prison were screened for participation. Classical test theory indexes of reliability, correlations between CAPP items and domains and external correlations and structural analyses demonstrated that CAPP assessment is a solid and robust way of evaluating psychopathy in a correctional setting. Best fit was found for a three-factor model: attachment and emotional items associated with a callous and unemotional trait, dominance and self items associated with a pathological interpersonal style, and behavioural and residual items from other domains associated with impulsivity.

  19. Prediction of human protein function from post-translational modifications and localization features

    DEFF Research Database (Denmark)

    Jensen, Lars Juhl; Gupta, Ramneek; Blom, Nikolaj

    2002-01-01

    a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects......We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from...

  20. Neural correlates of reward and loss sensitivity in psychopathy.

    Science.gov (United States)

    Pujara, Maia; Motzkin, Julian C; Newman, Joseph P; Kiehl, Kent A; Koenigs, Michael

    2014-06-01

    Psychopathy is a personality disorder associated with callous and impulsive behavior and criminal recidivism. It has long been theorized that psychopaths have deficits in processing reward and punishment. Here, we use structural and functional magnetic resonance imaging to examine the neural correlates of reward and loss sensitivity in a group of criminal psychopaths. Forty-one adult male prison inmates (n = 18 psychopaths and n = 23 non-psychopaths) completed a functional magnetic resonance imaging task involving the gain or loss of money. Across the entire sample of participants, monetary gains elicited robust activation within the ventral striatum (VS). Although psychopaths and non-psychopaths did not significantly differ with respect to overall levels of VS response to reward vs loss, we observed significantly different correlations between VS responses and psychopathy severity within each group. Volumetric analyses of striatal subregions revealed a similar pattern of correlations, specifically for the right accumbens area within VS. In a separate sample of inmates (n = 93 psychopaths and n = 117 non-psychopaths) who completed a self-report measure of appetitive motivation, we again found that the correlation with psychopathy severity differed between groups. These convergent results offer novel insight into the neural substrates of reward and loss processing in psychopathy. © The Author (2013). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  1. Significance of Joint Features Derived from the Modified Group Delay Function in Speech Processing

    Directory of Open Access Journals (Sweden)

    Murthy Hema A

    2007-01-01

    Full Text Available This paper investigates the significance of combining cepstral features derived from the modified group delay function and from the short-time spectral magnitude like the MFCC. The conventional group delay function fails to capture the resonant structure and the dynamic range of the speech spectrum primarily due to pitch periodicity effects. The group delay function is modified to suppress these spikes and to restore the dynamic range of the speech spectrum. Cepstral features are derived from the modified group delay function, which are called the modified group delay feature (MODGDF. The complementarity and robustness of the MODGDF when compared to the MFCC are also analyzed using spectral reconstruction techniques. Combination of several spectral magnitude-based features and the MODGDF using feature fusion and likelihood combination is described. These features are then used for three speech processing tasks, namely, syllable, speaker, and language recognition. Results indicate that combining MODGDF with MFCC at the feature level gives significant improvements for speech recognition tasks in noise. Combining the MODGDF and the spectral magnitude-based features gives a significant increase in recognition performance of 11% at best, while combining any two features derived from the spectral magnitude does not give any significant improvement.

  2. Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine

    Directory of Open Access Journals (Sweden)

    Muhammad Naveed Iqbal Qureshi

    2017-09-01

    Full Text Available Multimodal features of structural and functional magnetic resonance imaging (MRI of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used is publicly available from the Center for Biomedical Research Excellence (COBRE and it consists of two groups: patients with schizophrenia and healthy controls. We performed an independent component analysis and calculated global averaged functional connectivity-based features from the resting-state functional MRI data for all the cortical and subcortical anatomical parcellation. Cortical thickness along with standard deviation, surface area, volume, curvature, white matter volume, and intensity measures from the cortical parcellation, as well as volume and intensity from sub-cortical parcellation and overall volume of cortex features were extracted from the structural MRI data. A novel hybrid weighted feature concatenation method was used to acquire maximal 99.29% (P < 0.0001 accuracy which preserves high discriminatory power through the weight of the individual feature type. The classification was performed by an extreme learning machine, and its efficiency was compared to linear and non-linear (radial basis function support vector machines, linear discriminant analysis, and random forest bagged tree ensemble algorithms. This article reports the predictive accuracy of both unimodal and multimodal features after 10-by-10-fold nested cross-validation. A permutation test followed the classification experiment to assess the statistical significance of the classification results. It was concluded that, from a clinical perspective, this feature concatenation approach may assist the clinicians in schizophrenia diagnosis.

  3. Clarifying the link between childhood abuse history and psychopathic traits in adult criminal offenders

    Science.gov (United States)

    Dargis, Monika; Newman, Joseph; Koenigs, Michael

    2015-01-01

    Childhood abuse is a risk factor for the development of externalizing characteristics and disorders, including antisocial personality disorder and psychopathy. However, the precise relationships between particular types of childhood maltreatment and subsequent antisocial and psychopathic traits remain unclear. Using a large sample of incarcerated adult male criminal offenders (n = 183), the current study confirmed that severity of overall childhood maltreatment was linked to severity of both psychopathy and antisocial personality disorder in adulthood. Moreover, this relationship was particularly strong for physical abuse and the antisocial facet of psychopathy. Sexual abuse history was uniquely related to juvenile conduct disorder severity, rather than adult psychopathy or antisocial behaviors. Additionally, there was a significantly stronger relationship between childhood maltreatment and juvenile conduct disorder than between childhood maltreatment and ASPD or psychopathy. These findings bolster and clarify the link between childhood maltreatment and antisocial behavior later in life. PMID:26389621

  4. Narcissism and response validity: Do individuals with narcissistic features underreport psychopathology?

    Science.gov (United States)

    Sleep, Chelsea E; Sellbom, Martin; Campbell, W Keith; Miller, Joshua D

    2017-08-01

    Narcissism is broadly described as a grandiose sense of self, feelings of entitlement, and a need for attention and admiration. Theorists have long suggested that to maintain an overly positive self-image, individuals with narcissistic features often self-enhance (Leary, 2007) and exhibit distorted (John & Robins, 1994) self-perceptions. Despite this theoretical link, little is known about its relationship to response style, particularly in regard to underreporting or defensiveness. Nevertheless, response style has been extensively studied in psychopathy, narcissism's closest neighbor, due to concerns that psychopathic individuals may lack insight into their traits and/or may be unwilling to admit to perceived faults or difficulties. Given the limited research on this topic, we examined narcissism's relation to response style in multiple samples (i.e., two undergraduate samples; one incarcerated sample) with several well-validated measures of response validity and narcissism. Across samples, the findings indicate that narcissism is not characterized by response invalidity, at least not in low-stakes research settings; in fact, vulnerable features of narcissism were found to be negatively associated with underreporting and a defensive response style. Implications for the present findings are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  5. Automatic discovery of cross-family sequence features associated with protein function

    Directory of Open Access Journals (Sweden)

    Krings Andrea

    2006-01-01

    Full Text Available Abstract Background Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomics. Until now, this problem has been approached using machine learning techniques that attempt to predict membership, or otherwise, to predefined functional categories or subcellular locations. A potential drawback of this approach is that the human-designated functional classes may not accurately reflect the underlying biology, and consequently important sequence-to-function relationships may be missed. Results We show that a self-supervised data mining approach is able to find relationships between sequence features and functional annotations. No preconceived ideas about functional categories are required, and the training data is simply a set of protein sequences and their UniProt/Swiss-Prot annotations. The main technical aspect of the approach is the co-evolution of amino acid-based regular expressions and keyword-based logical expressions with genetic programming. Our experiments on a strictly non-redundant set of eukaryotic proteins reveal that the strongest and most easily detected sequence-to-function relationships are concerned with targeting to various cellular compartments, which is an area already well studied both experimentally and computationally. Of more interest are a number of broad functional roles which can also be correlated with sequence features. These include inhibition, biosynthesis, transcription and defence against bacteria. Despite substantial overlaps between these functions and their corresponding cellular compartments, we find clear differences in the sequence motifs used to predict some of these functions. For example, the presence of polyglutamine repeats appears to be linked more strongly to the "transcription" function than to the general "nuclear" function/location. Conclusion We have developed a novel and useful approach for

  6. Protein functional features are reflected in the patterns of mRNA translation speed.

    Science.gov (United States)

    López, Daniel; Pazos, Florencio

    2015-07-09

    The degeneracy of the genetic code makes it possible for the same amino acid string to be coded by different messenger RNA (mRNA) sequences. These "synonymous mRNAs" may differ largely in a number of aspects related to their overall translational efficiency, such as secondary structure content and availability of the encoded transfer RNAs (tRNAs). Consequently, they may render different yields of the translated polypeptides. These mRNA features related to translation efficiency are also playing a role locally, resulting in a non-uniform translation speed along the mRNA, which has been previously related to some protein structural features and also used to explain some dramatic effects of "silent" single-nucleotide-polymorphisms (SNPs). In this work we perform the first large scale analysis of the relationship between three experimental proxies of mRNA local translation efficiency and the local features of the corresponding encoded proteins. We found that a number of protein functional and structural features are reflected in the patterns of ribosome occupancy, secondary structure and tRNA availability along the mRNA. One or more of these proxies of translation speed have distinctive patterns around the mRNA regions coding for certain protein local features. In some cases the three patterns follow a similar trend. We also show specific examples where these patterns of translation speed point to the protein's important structural and functional features. This support the idea that the genome not only codes the protein functional features as sequences of amino acids, but also as subtle patterns of mRNA properties which, probably through local effects on the translation speed, have some consequence on the final polypeptide. These results open the possibility of predicting a protein's functional regions based on a single genomic sequence, and have implications for heterologous protein expression and fine-tuning protein function.

  7. BioModels: Content, Features, Functionality, and Use

    Science.gov (United States)

    Juty, N; Ali, R; Glont, M; Keating, S; Rodriguez, N; Swat, MJ; Wimalaratne, SM; Hermjakob, H; Le Novère, N; Laibe, C; Chelliah, V

    2015-01-01

    BioModels is a reference repository hosting mathematical models that describe the dynamic interactions of biological components at various scales. The resource provides access to over 1,200 models described in literature and over 140,000 models automatically generated from pathway resources. Most model components are cross-linked with external resources to facilitate interoperability. A large proportion of models are manually curated to ensure reproducibility of simulation results. This tutorial presents BioModels' content, features, functionality, and usage. PMID:26225232

  8. Integrative approaches to the prediction of protein functions based on the feature selection

    Directory of Open Access Journals (Sweden)

    Lee Hyunju

    2009-12-01

    Full Text Available Abstract Background Protein function prediction has been one of the most important issues in functional genomics. With the current availability of various genomic data sets, many researchers have attempted to develop integration models that combine all available genomic data for protein function prediction. These efforts have resulted in the improvement of prediction quality and the extension of prediction coverage. However, it has also been observed that integrating more data sources does not always increase the prediction quality. Therefore, selecting data sources that highly contribute to the protein function prediction has become an important issue. Results We present systematic feature selection methods that assess the contribution of genome-wide data sets to predict protein functions and then investigate the relationship between genomic data sources and protein functions. In this study, we use ten different genomic data sources in Mus musculus, including: protein-domains, protein-protein interactions, gene expressions, phenotype ontology, phylogenetic profiles and disease data sources to predict protein functions that are labelled with Gene Ontology (GO terms. We then apply two approaches to feature selection: exhaustive search feature selection using a kernel based logistic regression (KLR, and a kernel based L1-norm regularized logistic regression (KL1LR. In the first approach, we exhaustively measure the contribution of each data set for each function based on its prediction quality. In the second approach, we use the estimated coefficients of features as measures of contribution of data sources. Our results show that the proposed methods improve the prediction quality compared to the full integration of all data sources and other filter-based feature selection methods. We also show that contributing data sources can differ depending on the protein function. Furthermore, we observe that highly contributing data sets can be similar among

  9. Psychopathic personality development from ages 9 to 18: Genes and environment.

    Science.gov (United States)

    Tuvblad, Catherine; Wang, Pan; Bezdjian, Serena; Raine, Adrian; Baker, Laura A

    2016-02-01

    The genetic and environmental etiology of individual differences was examined in initial level and change in psychopathic personality from ages 9 to 18 years. A piecewise growth curve model, in which the first change score (G1) influenced all ages (9-10, 11-13, 14-15, and 16-18 years) and the second change score (G2) only influenced ages 14-15 and 16-18 years, fit the data better did than the standard single slope model, suggesting a turning point from childhood to adolescence. The results indicated that variations in levels and both change scores were mainly due to genetic (A) and nonshared environmental (E) influences (i.e., AE structure for G0, G1, and G2). No sex differences were found except on the mean values of level and change scores. Based on caregiver ratings, about 81% of variance in G0, 89% of variance in G1, and 94% of variance in G2 were explained by genetic factors, whereas for youth self-reports, these three proportions were 94%, 71%, and 66%, respectively. The larger contribution of genetic variance and covariance in caregiver ratings than in youth self-reports may suggest that caregivers considered the changes in their children to be more similar as compared to how the children viewed themselves.

  10. New Features about Tau Function and Dysfunction

    Directory of Open Access Journals (Sweden)

    Miguel Medina

    2016-04-01

    Full Text Available Tau is a brain microtubule-associated protein that directly binds to a microtubule and dynamically regulates its structure and function. Under pathological conditions, tau self-assembles into filamentous structures that end up forming neurofibrillary tangles. Prominent tau neurofibrillary pathology is a common feature in a number of neurodegenerative disorders, collectively referred to as tauopathies, the most common of which is Alzheimer’s disease (AD. Beyond its classical role as a microtubule-associated protein, recent advances in our understanding of tau cellular functions have revealed novel insights into their important role during pathogenesis and provided potential novel therapeutic targets. Regulation of tau behavior and function under physiological and pathological conditions is mainly achieved through post-translational modifications, including phosphorylation, glycosylation, acetylation, and truncation, among others, indicating the complexity and variability of factors influencing regulation of tau toxicity, all of which have significant implications for the development of novel therapeutic approaches in various neurodegenerative disorders. A more comprehensive understanding of the molecular mechanisms regulating tau function and dysfunction will provide us with a better outline of tau cellular networking and, hopefully, offer new clues for designing more efficient approaches to tackle tauopathies in the near future.

  11. New Features about Tau Function and Dysfunction

    Science.gov (United States)

    Medina, Miguel; Hernández, Félix; Avila, Jesús

    2016-01-01

    Tau is a brain microtubule-associated protein that directly binds to a microtubule and dynamically regulates its structure and function. Under pathological conditions, tau self-assembles into filamentous structures that end up forming neurofibrillary tangles. Prominent tau neurofibrillary pathology is a common feature in a number of neurodegenerative disorders, collectively referred to as tauopathies, the most common of which is Alzheimer’s disease (AD). Beyond its classical role as a microtubule-associated protein, recent advances in our understanding of tau cellular functions have revealed novel insights into their important role during pathogenesis and provided potential novel therapeutic targets. Regulation of tau behavior and function under physiological and pathological conditions is mainly achieved through post-translational modifications, including phosphorylation, glycosylation, acetylation, and truncation, among others, indicating the complexity and variability of factors influencing regulation of tau toxicity, all of which have significant implications for the development of novel therapeutic approaches in various neurodegenerative disorders. A more comprehensive understanding of the molecular mechanisms regulating tau function and dysfunction will provide us with a better outline of tau cellular networking and, hopefully, offer new clues for designing more efficient approaches to tackle tauopathies in the near future. PMID:27104579

  12. Does the concept of borderline personality features have clinical utility in childhood?

    Science.gov (United States)

    Hawes, David J

    2014-01-01

    Phenotypic features of borderline personality disorder may first emerge during childhood, alongside symptoms of common externalizing and internalizing disorders. Children with these borderline personality features (BPF) are, therefore, likely to come into contact with clinical services prior to adolescence. This raises the question of whether BPF may be clinically informative with respect to the formulation and treatment of childhood psychopathology. BPF in late childhood appear to be highly heritable, while also predicted by environmental risk factors that overlap with those related to both externalizing and internalizing disorders. These risk factors include hostile parenting, maternal insensitivity to infant attachment cues, and early peer victimization, thereby implicating both family and peer processes that play out across early development. Children with BPF appear to be further characterized by social-cognitive factors including social perspective coordination deficits, a shame-prone self-concept, and hypermentalizing, which may represent potential therapeutic targets. Clinical research into the implications of BPF for the treatment of childhood psychopathology is a current priority. It is proposed that the research designs that have contributed to recent evidence for the clinical utility of childhood psychopathic traits may likewise aid in understanding the potential clinical utility of BPF in children.

  13. Functional connectivity supporting the selective maintenance of feature-location binding in visual working memory

    Directory of Open Access Journals (Sweden)

    Sachiko eTakahama

    2014-06-01

    Full Text Available Information on an object’s features bound to its location is very important for maintaining object representations in visual working memory. Interactions with dynamic multi-dimensional objects in an external environment require complex cognitive control, including the selective maintenance of feature-location binding. Here, we used event-related functional magnetic resonance imaging to investigate brain activity and functional connectivity related to the maintenance of complex feature-location binding. Participants were required to detect task-relevant changes in feature-location binding between objects defined by color, orientation, and location. We compared a complex binding task requiring complex feature-location binding (color-orientation-location with a simple binding task in which simple feature-location binding, such as color-location, was task-relevant and the other feature was task-irrelevant. Univariate analyses showed that the dorsolateral prefrontal cortex (DLPFC, hippocampus, and frontoparietal network were activated during the maintenance of complex feature-location binding. Functional connectivity analyses indicated cooperation between the inferior precentral sulcus (infPreCS, DLPFC, and hippocampus during the maintenance of complex feature-location binding. In contrast, the connectivity for the spatial updating of simple feature-location binding determined by reanalyzing the data from Takahama et al. (2010 demonstrated that the superior parietal lobule (SPL cooperated with the DLPFC and hippocampus. These results suggest that the connectivity for complex feature-location binding does not simply reflect general memory load and that the DLPFC and hippocampus flexibly modulate the dorsal frontoparietal network, depending on the task requirements, with the infPreCS involved in the maintenance of complex feature-location binding and the SPL involved in the spatial updating of simple feature-location binding.

  14. Gendered contexts: psychopathy and drug use in relation to sex work and exchange

    OpenAIRE

    Edwards, Bethany G.; Verona, Edelyn

    2016-01-01

    Few scholars have examined psychopathology correlates of sex work. It has been suggested that sex work may reflect manifestations of impulsive-antisocial psychopathic traits (e.g., reckless disregard, delinquency) in women more than men. The current work examined relative contributions of drug dependence and distinct psychopathic features in relation to traditional forms of sex work (i.e., prostitution) in women, along with gender differences in psychopathy relationships with casual forms of ...

  15. GA Based Optimal Feature Extraction Method for Functional Data Classification

    OpenAIRE

    Jun Wan; Zehua Chen; Yingwu Chen; Zhidong Bai

    2010-01-01

    Classification is an interesting problem in functional data analysis (FDA), because many science and application problems end up with classification problems, such as recognition, prediction, control, decision making, management, etc. As the high dimension and high correlation in functional data (FD), it is a key problem to extract features from FD whereas keeping its global characters, which relates to the classification efficiency and precision to heavens. In this paper...

  16. Enhancing Web Service Selection by User Preferences of Non-Functional Features

    OpenAIRE

    Badr , Youakim; Abraham , Ajith; Biennier , Frédérique; Grosan , Crina

    2008-01-01

    International audience; Selection of an appropriate Web service for a particular task has become a difficult challenge due to the increasing number of Web services offering similar functionalities. The functional properties describe what the service can do and the nonfunctional properties depict how the service can do it. Non-functional properties involving qualitative or quantitative features have become essential criteria to enhance the selection process of services making the selection pro...

  17. Features of the magnetic field of a rectangular combined function bending magnet

    International Nuclear Information System (INIS)

    Hwang, C.S.; National Chiao Tung Univ., Hsinchu; Chang, C.H.; Hwang, G.J.; Uen, T.M.; Tseng, P.K.; National Taiwan Univ., Taipei

    1996-01-01

    Magnetic field features of the combined function bending magnet with dipole and quadrupole field components are essential for the successful operation of the electron beam trajectory. These fields also dominate the photon beam quality. The vertical magnetic field B y (x,y) calculation is performed by a computer code MAGNET at the magnet center (s = 0). Those results are compared with the 2-D field measurement by the Hall probe mapping system. Also detailed survey has been made of the harmonic field strength and the main features of the fundamental integrated strength, effective length, magnetic symmetry, tilt of the pole face, offset of the field center and the fringe field. The end shims that compensate for the strong end negative sextupole field to increase the good field region for the entire integrated strength are discussed. An important physical feature of this combined function bending magnet is the constant ratio of dipole and quadrupole strength ∫Bds/∫Gds which is expressed as a function of excitation current in the energy range 0.6 to 1.5 GeV

  18. Early Contact Stage of Apoptosis: Its Morphological Features and Function

    Directory of Open Access Journals (Sweden)

    Etheri Mikadze

    2006-01-01

    Full Text Available Apoptosis has been a biological phenomenon of intense interest for 20 years, but the earlier morphological features of apoptosis have not been determined hitherto. Using the methods of semi- and ultrathin sections, the livers of intact embryos and young rats have been studied under the effect of cycloheximide to determine morphological features of an early stage of apoptosis. It is discovered that both in hepatoblasts and hepatocytes, apoptosis, besides the well-known stages, also includes an early contact stage, distinguishing features of which are agglutination of bound ribosomes (breaking of translation, elimination of the nucleolus, reduction of free polysomes (and in hepatocytes, reduction of cisterns of rough endoplasmic reticulum, formation of cytoplasmic excrescences, and cell shape changes. The early stage of apoptosis is characterized by close contact with neighboring cells. At a certain phase of the contact stage of apoptosis, the nucleolus reappears in the nucleus and the number of free polysomes in the cytoplasm increases, which suggests the renewal of synthesis of new RNA and proteins. Close contact of differentiating and mitotic hepatoblasts with apoptotic cells indicates a certain functional relationship between these cells that is realized not only by micropinocytosis, but through gap junctions as well. We assume that the apoptotic cell, besides proteolytic products, can contain newly synthesized, low-molecular substances, the relocation of which from apoptotic to neighboring cells may contribute to both functional activity and proliferation of adjacent hepatoblasts and, therefore, the function of apoptosis may not be limited only to the elimination of harmful, damaged, and unwanted cells.

  19. Validating Female Psychopathy Subtypes: Differences in Personality, Antisocial and Violent Behavior, Substance Abuse, Trauma, and Mental Health

    Science.gov (United States)

    Hicks, Brian M.; Vaidyanathan, Uma; Patrick, Christopher J.

    2010-01-01

    Recent empirical investigations utilizing male prisoners have begun to validate clinical conceptualizations of primary and secondary psychopathy subtypes. We extended this literature by identifying similar psychopathic subtypes in female prisoners on the basis of personality structure using model-based cluster analysis. Secondary psychopaths (n = 39) were characterized by personality traits of negative emotionality and low behavioral constraint, an early onset of antisocial and criminal behavior, greater substance use and abuse, more violent behavior and institutional misconduct, and more mental health problems including symptoms of post-traumatic stress disorder and suicide attempts. Primary psychopaths (n = 31) exhibited few distinguishing personality features but were prolific criminals especially in regards to non-violent crime, and exhibited relatively few mental health problems despite substantial exposure to traumatic events. The results support alternative etiological pathways to antisocial and criminal behavior that are evident in personality structure as well as gender similarities and differences in the manifestation of psychopathic personalities. PMID:20582155

  20. A New Understanding of Psychopathy: The Contribution of Phenomenological Psychopathology.

    Science.gov (United States)

    Englebert, Jérôme

    2015-01-01

    The objective of this study is to present a theoretical paper about a clinical issue. Our aim is to propose some clinical and semiological considerations for a psychopathological conception of psychopathy. We will discuss several major theoretical works dedicated to this nosographic entity (mainly those of Schneider [Psychopathic Personalities (1923). London, Cassell, 1950], Cleckley [The Mask of Sanity. St. Louis, Mosby, 1941] and Hare [The Hare Psychopathy Checklist - Revised Manual, ed 2. Toronto, Multi-Health Systems, 2003]). We will also examine a significant issue raised by Cooke et al. [Psychol Assess 2001;13:171-188; J Person Disord 2004;18:337-357; Br J Psychiatry Suppl 2007;49:s39-s50; Int J Forensic Ment Health 2012;11:242-252], namely whether psychopathic functioning is consistently related to antisocial behavior. This theoretical essay is informed by clinical situations (involving psychopaths who were interviewed in prison or in forensic centers). The method applied a phenomenological psychopathology analysis to the clinical material. We first compare Binswanger's conception of mania with psychopathic functioning. Patient behavior is similar, but there is a difference related to the dialectic between the ego and the alter ego. A patient with mania has a fundamental crisis of the ego, which a psychopath does not have. A second finding of our investigations concerns emotions and the adaptive dimension of the psychopathic disorder. An epistemological discussion of the concept of emotions reveals that psychopaths are competent in the management of emotional stimuli, which confers a psychological advantage upon them. © 2015 S. Karger AG, Basel.

  1. Extracting intrinsic functional networks with feature-based group independent component analysis.

    Science.gov (United States)

    Calhoun, Vince D; Allen, Elena

    2013-04-01

    There is increasing use of functional imaging data to understand the macro-connectome of the human brain. Of particular interest is the structure and function of intrinsic networks (regions exhibiting temporally coherent activity both at rest and while a task is being performed), which account for a significant portion of the variance in functional MRI data. While networks are typically estimated based on the temporal similarity between regions (based on temporal correlation, clustering methods, or independent component analysis [ICA]), some recent work has suggested that these intrinsic networks can be extracted from the inter-subject covariation among highly distilled features, such as amplitude maps reflecting regions modulated by a task or even coordinates extracted from large meta analytic studies. In this paper our goal was to explicitly compare the networks obtained from a first-level ICA (ICA on the spatio-temporal functional magnetic resonance imaging (fMRI) data) to those from a second-level ICA (i.e., ICA on computed features rather than on the first-level fMRI data). Convergent results from simulations, task-fMRI data, and rest-fMRI data show that the second-level analysis is slightly noisier than the first-level analysis but yields strikingly similar patterns of intrinsic networks (spatial correlations as high as 0.85 for task data and 0.65 for rest data, well above the empirical null) and also preserves the relationship of these networks with other variables such as age (for example, default mode network regions tended to show decreased low frequency power for first-level analyses and decreased loading parameters for second-level analyses). In addition, the best-estimated second-level results are those which are the most strongly reflected in the input feature. In summary, the use of feature-based ICA appears to be a valid tool for extracting intrinsic networks. We believe it will become a useful and important approach in the study of the macro

  2. The interplay of attention and emotion: top-down attention modulates amygdala activation in psychopathy.

    Science.gov (United States)

    Larson, Christine L; Baskin-Sommers, Arielle R; Stout, Daniel M; Balderston, Nicholas L; Curtin, John J; Schultz, Douglas H; Kiehl, Kent A; Newman, Joseph P

    2013-12-01

    Psychopathic behavior has long been attributed to a fundamental deficit in fear that arises from impaired amygdala function. Growing evidence has demonstrated that fear-potentiated startle (FPS) and other psychopathy-related deficits are moderated by focus of attention, but to date, no work on adult psychopathy has examined attentional modulation of the amygdala or concomitant recruitment of relevant attention-related circuitry. Consistent with previous FPS findings, here we report that psychopathy-related differences in amygdala activation appear and disappear as a function of goal-directed attention. Specifically, decreased amygdala activity was observed in psychopathic offenders only when attention was engaged in an alternative goal-relevant task prior to presenting threat-relevant information. Under this condition, psychopaths also exhibited greater activation in selective-attention regions of the lateral prefrontal cortex (LPFC) than did nonpsychopaths, and this increased LPFC activation mediated psychopathy's association with decreased amygdala activation. In contrast, when explicitly attending to threat, amygdala activation did not differ in psychopaths and nonpsychopaths. This pattern of amygdala activation highlights the potential role of LPFC in mediating the failure of psychopathic individuals to process fear and other important information when it is peripheral to the primary focus of goal-directed attention.

  3. Features of polycystic ovary syndrome (PCOS) in women with functional hypothalamic amenorrhea (FHA) may be reversible with recovery of menstrual function.

    Science.gov (United States)

    Carmina, Enrico; Fruzzetti, Franca; Lobo, Roger A

    2018-04-01

    Since features of polycystic ovary syndrome (PCOS) have been found to be prevalent in women with functional hypothalamic amenorrhea (FHA), we wished to determine what happens to these features after recovery of menstrual function in FHA Design: Prospective cohort study. Twenty-eight women with FHA and 30 age-matched ovulatory controls were studied. Twenty-eight women with FHA and 30 age-matched ovulatory controls were studied. We measured serum estradiol, LH, FSH, testosterone, DHEAS, anti-Mullerian hormone (AMH), body mass index, and ovarian morphology on transvaginal ultrasound. At baseline, 12 of the 28 women (43%) had increased AMH (>4.7 ng/mL), and higher testosterone and larger ovaries compared to the other 16 women with normal AMH. One year after recovery of menstrual function, in the 12 women with increased AMH, serum AMH, testosterone and ovarian size decreased, while LH and estradiol increased. At one year, only one of the 12 women in the high AMH group developed clinical features of PCOS. In the majority of women with FHA who have PCOS-like features, these features may be due to the hypothalamic state and appear to be reversible. Few women may develop clinical PCOS after recovery.

  4. Functional features of travel magazines: retrospective view

    Directory of Open Access Journals (Sweden)

    Gromova Lyudmila Petrovna

    2015-09-01

    Full Text Available The article considers the features of the functional purpose of travel magazines (travelogue, their genesis, evolution, traits, depending on the socio-political context and, accordingly, requests from the readership. The progenitor of the travel magazines in Russia was journey literature that took root in the genre of travel notes. The forerunner of today’s travelogues can be considered «Nikita Akinfievich Demidov’s travel magazine» (1786, presenting daily travel notes, mostly laconic, sometimes deployed to fascinating travel notes Magazines at different times performed cultural and educational, didactic, aesthetic and ideological functions, immersing the reader in the living conditions of the countries and continents, showing the diversity of the world. Today, traveling is seen as a multifaceted activity that is due to the result of freedom of movement, numerous hiking trails, access to information in the network space takes new character. Accordingly, the media market is a process of qualitative and quantitative changes. There is a growing number of distribution channels, many of which are convergent evolution. The transformation of the old forms is determined by market demand. These processes are inevitably reflected in the dominance of certain functions of the travelogue. However, their essential purpose remains the same: to inform, educate and entertain.

  5. Image features dependant correlation-weighting function for efficient PRNU based source camera identification.

    Science.gov (United States)

    Tiwari, Mayank; Gupta, Bhupendra

    2018-04-01

    For source camera identification (SCI), photo response non-uniformity (PRNU) has been widely used as the fingerprint of the camera. The PRNU is extracted from the image by applying a de-noising filter then taking the difference between the original image and the de-noised image. However, it is observed that intensity-based features and high-frequency details (edges and texture) of the image, effect quality of the extracted PRNU. This effects correlation calculation and creates problems in SCI. For solving this problem, we propose a weighting function based on image features. We have experimentally identified image features (intensity and high-frequency contents) effect on the estimated PRNU, and then develop a weighting function which gives higher weights to image regions which give reliable PRNU and at the same point it gives comparatively less weights to the image regions which do not give reliable PRNU. Experimental results show that the proposed weighting function is able to improve the accuracy of SCI up to a great extent. Copyright © 2018 Elsevier B.V. All rights reserved.

  6. Aberrant functional network connectivity in psychopathy from a large (N = 985) forensic sample.

    Science.gov (United States)

    Espinoza, Flor A; Vergara, Victor M; Reyes, Daisy; Anderson, Nathaniel E; Harenski, Carla L; Decety, Jean; Rachakonda, Srinivas; Damaraju, Eswar; Rashid, Barnaly; Miller, Robyn L; Koenigs, Michael; Kosson, David S; Harenski, Keith; Kiehl, Kent A; Calhoun, Vince D

    2018-06-01

    Psychopathy is a personality disorder characterized by antisocial behavior, lack of remorse and empathy, and impaired decision making. The disproportionate amount of crime committed by psychopaths has severe emotional and economic impacts on society. Here we examine the neural correlates associated with psychopathy to improve early assessment and perhaps inform treatments for this condition. Previous resting-state functional magnetic resonance imaging (fMRI) studies in psychopathy have primarily focused on regions of interest. This study examines whole-brain functional connectivity and its association to psychopathic traits. Psychopathy was hypothesized to be characterized by aberrant functional network connectivity (FNC) in several limbic/paralimbic networks. Group-independent component and regression analyses were applied to a data set of resting-state fMRI from 985 incarcerated adult males. We identified resting-state networks (RSNs), estimated FNC between RSNs, and tested their association to psychopathy factors and total summary scores (Factor 1, interpersonal/affective; Factor 2, lifestyle/antisocial). Factor 1 scores showed both increased and reduced functional connectivity between RSNs from seven brain domains (sensorimotor, cerebellar, visual, salience, default mode, executive control, and attentional). Consistent with hypotheses, RSNs from the paralimbic system-insula, anterior and posterior cingulate cortex, amygdala, orbital frontal cortex, and superior temporal gyrus-were related to Factor 1 scores. No significant FNC associations were found with Factor 2 and total PCL-R scores. In summary, results suggest that the affective and interpersonal symptoms of psychopathy (Factor 1) are associated with aberrant connectivity in multiple brain networks, including paralimbic regions. © 2018 Wiley Periodicals, Inc.

  7. Using tactile features to help functionally blind individuals denominate banknotes.

    Science.gov (United States)

    Lederman, Susan J; Hamilton, Cheryl

    2002-01-01

    This study, which was conducted for the Bank of Canada, assessed the feasibility of presenting a raised texture feature together with a tactile denomination code on the next Canadian banknote series ($5, $10, $20, $50, and $100). Adding information accessible by hand would permit functionally blind individuals to independently denominate banknotes. In Experiment 1, 20 blindfolded, sighted university students denominated a set of 8 alternate tactile feature designs. Across the 8 design series, the proportion of correct responses never fell below .97; the mean response time per banknote ranged from 11.4 to 13.1 s. In Experiment 2, 27 functionally blind participants denominated 4 of the previous 8 candidate sets of banknotes. The proportion of correct responses never fell below .92; the corresponding mean response time per banknote ranged from 11.7 to 13.0 s. The Bank of Canada selected one of the four raised-texture designs for inclusion on its new banknote series. Other potential applications include designing haptic displays for teleoperation and virtual environment systems.

  8. Biological adaptations for functional features of language in the face of cultural evolution.

    Science.gov (United States)

    Christiansen, Morten H; Reali, Florencia; Chater, Nick

    2011-04-01

    Although there may be no true language universals, it is nonetheless possible to discern several family resemblance patterns across the languages of the world. Recent work on the cultural evolution of language indicates the source of these patterns is unlikely to be an innate universal grammar evolved through biological adaptations for arbitrary linguistic features. Instead, it has been suggested that the patterns of resemblance emerge because language has been shaped by the brain, with individual languages representing different but partially overlapping solutions to the same set of nonlinguistic constraints. Here, we use computational simulations to investigate whether biological adaptation for functional features of language, deriving from cognitive and communicative constraints, may nonetheless be possible alongside rapid cultural evolution. Specifically, we focus on the Baldwin effect as an evolutionary mechanism by which previously learned linguistic features might become innate through natural selection across many generations of language users. The results indicate that cultural evolution of language does not necessarily prevent functional features of language from becoming genetically fixed, thus potentially providing a particularly informative source of constraints on cross-linguistic resemblance patterns.

  9. Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains

    Directory of Open Access Journals (Sweden)

    Branislava Gemovic

    2013-01-01

    Full Text Available There are more than 500 amino acid substitutions in each human genome, and bioinformatics tools irreplaceably contribute to determination of their functional effects. We have developed feature-based algorithm for the detection of mutations outside conserved functional domains (CFDs and compared its classification efficacy with the most commonly used phylogeny-based tools, PolyPhen-2 and SIFT. The new algorithm is based on the informational spectrum method (ISM, a feature-based technique, and statistical analysis. Our dataset contained neutral polymorphisms and mutations associated with myeloid malignancies from epigenetic regulators ASXL1, DNMT3A, EZH2, and TET2. PolyPhen-2 and SIFT had significantly lower accuracies in predicting the effects of amino acid substitutions outside CFDs than expected, with especially low sensitivity. On the other hand, only ISM algorithm showed statistically significant classification of these sequences. It outperformed PolyPhen-2 and SIFT by 15% and 13%, respectively. These results suggest that feature-based methods, like ISM, are more suitable for the classification of amino acid substitutions outside CFDs than phylogeny-based tools.

  10. Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct.

    Science.gov (United States)

    Funk, Christopher S; Kahanda, Indika; Ben-Hur, Asa; Verspoor, Karin M

    2015-01-01

    Most computational methods that predict protein function do not take advantage of the large amount of information contained in the biomedical literature. In this work we evaluate both ontology term co-mention and bag-of-words features mined from the biomedical literature and analyze their impact in the context of a structured output support vector machine model, GOstruct. We find that even simple literature based features are useful for predicting human protein function (F-max: Molecular Function =0.408, Biological Process =0.461, Cellular Component =0.608). One advantage of using literature features is their ability to offer easy verification of automated predictions. We find through manual inspection of misclassifications that some false positive predictions could be biologically valid predictions based upon support extracted from the literature. Additionally, we present a "medium-throughput" pipeline that was used to annotate a large subset of co-mentions; we suggest that this strategy could help to speed up the rate at which proteins are curated.

  11. Reliability and Construct Validity of the Psychopathic Personality Inventory-Revised in a Swedish Non-Criminal Sample - A Multimethod Approach including Psychophysiological Correlates of Empathy for Pain.

    Directory of Open Access Journals (Sweden)

    Karolina Sörman

    Full Text Available Cross-cultural investigation of psychopathy measures is important for clarifying the nomological network surrounding the psychopathy construct. The Psychopathic Personality Inventory-Revised (PPI-R is one of the most extensively researched self-report measures of psychopathic traits in adults. To date however, it has been examined primarily in North American criminal or student samples. To address this gap in the literature, we examined PPI-R's reliability, construct validity and factor structure in non-criminal individuals (N = 227 in Sweden, using a multimethod approach including psychophysiological correlates of empathy for pain. PPI-R construct validity was investigated in subgroups of participants by exploring its degree of overlap with (i the Psychopathy Checklist: Screening Version (PCL:SV, (ii self-rated empathy and behavioral and physiological responses in an experiment on empathy for pain, and (iii additional self-report measures of alexithymia and trait anxiety. The PPI-R total score was significantly associated with PCL:SV total and factor scores. The PPI-R Coldheartedness scale demonstrated significant negative associations with all empathy subscales and with rated unpleasantness and skin conductance responses in the empathy experiment. The PPI-R higher order Self-Centered Impulsivity and Fearless Dominance dimensions were associated with trait anxiety in opposite directions (positively and negatively, respectively. Overall, the results demonstrated solid reliability (test-retest and internal consistency and promising but somewhat mixed construct validity for the Swedish translation of the PPI-R.

  12. Don’t stand so close to me: Psychopathy and the regulation of interpersonal distance

    Directory of Open Access Journals (Sweden)

    Joana B. Vieira

    2014-01-01

    Full Text Available Psychopathy is characterized by callous-unemotional traits, such as reduced empathy and remorse, and a tendency toward deviant interpersonal behaviors. It has been suggested that subtle behavioral cues in individuals with high levels of psychopathic traits may betray their personality during interpersonal interactions, but little research has addressed what these clues might be. In this study, we investigated whether psychopathic traits predict interpersonal distance preferences, which have been previously linked to amygdala functioning. Forty-six healthy participants performed a behavioral task in which the distance they preferred to maintain between themselves and an experimenter was measured across a series of trials. Psychopathic traits, including Coldheartedness, Fearless Dominance, and Self-centered Impulsivity were assessed using the Psychopathic Personality Inventory-Revised (Lilienfeld & Widows, 2005. Results demonstrated that Coldheartedness predicted preferred interpersonal distance, with more coldhearted participants preferring shorter distances. These findings suggest that interpersonal distance preferences may signal psychopathic traits, particularly callousness, supporting accounts of amygdala dysfunction in psychopathy.

  13. Psychopathy to Altruism: Neurobiology of the Selfish–Selfless Spectrum

    Directory of Open Access Journals (Sweden)

    James W. H. Sonne

    2018-04-01

    Full Text Available The age-old philosophical, biological, and social debate over the basic nature of humans as being “universally selfish” or “universally good” continues today highlighting sharply divergent views of natural social order. Here we analyze advances in biology, genetics and neuroscience increasing our understanding of the evolution, features and neurocircuitry of the human brain underlying behavior in the selfish–selfless spectrum. First, we examine evolutionary pressures for selection of altruistic traits in species with protracted periods of dependence on parents and communities for subsistence and acquisition of learned behaviors. Evidence supporting the concept that altruistic potential is a common feature in human populations is developed. To go into greater depth in assessing critical features of the social brain, the two extremes of selfish–selfless behavior, callous unemotional psychopaths and zealous altruists who take extreme measures to help others, are compared on behavioral traits, structural/functional neural features, and the relative contributions of genetic inheritance versus acquired cognitive learning to their mindsets. Evidence from population groups ranging from newborns, adopted children, incarcerated juveniles, twins and mindfulness meditators point to the important role of neuroplasticity and the dopaminergic reward systems in forming and reforming neural circuitry in response to personal experience and cultural influences in determining behavior in the selfish–selfless spectrum. The underlying neural circuitry differs between psychopaths and altruists with emotional processing being profoundly muted in psychopaths and significantly enhanced in altruists. But both groups are characterized by the reward system of the brain shaping behavior. Instead of rigid assignment of human nature as being “universally selfish” or “universally good,” both characterizations are partial truths based on the segments of the

  14. Local Area Network Material Accounting System (LANMAS) Functions and Features Overview

    International Nuclear Information System (INIS)

    Robichaux, J.J.

    1998-07-01

    The Local Area Network Material Accounting System (LANMAS) application is a standardized approach to comply with the DOE Order 5633.3B, control and Accountability of Nuclear Material, material accounting requirements. This paper provides a general overview of the functions and features included in the LANMAS application

  15. Stress assessment based on EEG univariate features and functional connectivity measures.

    Science.gov (United States)

    Alonso, J F; Romero, S; Ballester, M R; Antonijoan, R M; Mañanas, M A

    2015-07-01

    The biological response to stress originates in the brain but involves different biochemical and physiological effects. Many common clinical methods to assess stress are based on the presence of specific hormones and on features extracted from different signals, including electrocardiogram, blood pressure, skin temperature, or galvanic skin response. The aim of this paper was to assess stress using EEG-based variables obtained from univariate analysis and functional connectivity evaluation. Two different stressors, the Stroop test and sleep deprivation, were applied to 30 volunteers to find common EEG patterns related to stress effects. Results showed a decrease of the high alpha power (11 to 12 Hz), an increase in the high beta band (23 to 36 Hz, considered a busy brain indicator), and a decrease in the approximate entropy. Moreover, connectivity showed that the high beta coherence and the interhemispheric nonlinear couplings, measured by the cross mutual information function, increased significantly for both stressors, suggesting that useful stress indexes may be obtained from EEG-based features.

  16. Introduction to the feature section on functional imaging of the pelvic floor.

    Science.gov (United States)

    Maccioni, Francesca

    2013-10-01

    This is the introduction to the feature section of functional imaging of the pelvic floor, which includes 6 articles, two focused on clinical issues, while four on radiological aspects, mostly on dynamic pelvic floor MRI.

  17. The Association Between Psychopathic Personality Traits and Victimization and Exposure to Violence in a Sample of Saudi Arabian Youth.

    Science.gov (United States)

    Beaver, Kevin M; Al-Ghamdi, Mohammed Said; Kobeisy, Ahmed Nezar; Alqurashi, Fathiyah H; Connolly, Eric J; Schwartz, Joseph A

    2016-06-01

    Psychopathic personality traits have been shown to increase the odds of a wide range of antisocial outcomes. Very little research, however, has examined the association between psychopathy and the risk of personal victimization. The current study address this gap in the literature by examining the association between scores on the Levenson Self-Report Psychopathy scale and a self-reported measure of victimization by using cross-sectional data drawn from a sample of youth residing in Jeddah, Saudi Arabia (N = 311). The results revealed a positive and statistically significant association between LSPR scores and the odds of being victimized. Additional analyses revealed that two mediators-arrest history and exposure to delinquent peers-were related to personal victimization, but neither of these measures mediated the effects of LSPR scores on victimization. Whether these findings would generalize to other nations remains an issue awaiting future research.

  18. “It’s not my fault, it was my brain”. Could such a statement lead to an excuse for individuals with personality disorders and psychopaths?

    Directory of Open Access Journals (Sweden)

    Custodia Jiménez Martínez

    2017-07-01

    Full Text Available In this paper we study both the criminal responsibility and the mental state as excuse for indivisuals with personality disorders and psychopaths, as well as the arguments offered by the neuroscience to deny a basic, central, main, nuclear stone of our modern criminal law, the idea of a free will. According to that idea, the human being is free to choose between the right and wrong (unlawful behavior. For neuroscience we don’t have such a freedom that would be merely an illusion, a mirage. Our brain would have decided and ordered formerly our behavior.

  19. Features of Functioning the Integrated Building Thermal Model

    Directory of Open Access Journals (Sweden)

    Morozov Maxim N.

    2017-01-01

    Full Text Available A model of the building heating system, consisting of energy source, a distributed automatic control system, elements of individual heating unit and heating system is designed. Application Simulink of mathematical package Matlab is selected as a platform for the model. There are the specialized application Simscape libraries in aggregate with a wide range of Matlab mathematical tools allow to apply the “acausal” modeling concept. Implementation the “physical” representation of the object model gave improving the accuracy of the models. Principle of operation and features of the functioning of the thermal model is described. The investigations of building cooling dynamics were carried out.

  20. The Personality Assessment Inventory as a proxy for the Psychopathy Checklist Revised: testing the incremental validity and cross-sample robustness of the Antisocial Features Scale.

    Science.gov (United States)

    Douglas, Kevin S; Guy, Laura S; Edens, John F; Boer, Douglas P; Hamilton, Jennine

    2007-09-01

    The Personality Assessment Inventory's (PAI's) ability to predict psychopathic personality features, as assessed by the Psychopathy Checklist-Revised (PCL-R), was examined. To investigate whether the PAI Antisocial Features (ANT) Scale and subscales possessed incremental validity beyond other theoretically relevant PAI scales, optimized regression equations were derived in a sample of 281 Canadian federal offenders. ANT, or ANT-Antisocial Behavior (ANT-A), demonstrated unique variance in regression analyses predicting PCL-R total and Factor 2 (Lifestyle Impulsivity and Social Deviance) scores, but only the Dominance (DOM) Scale was retained in models predicting Factor 1 (Interpersonal and Affective Deficits). Attempts to cross-validate the regression equations derived from the first sample on a sample of 85 U.S. sex offenders resulted in considerable validity shrinkage, with the ANT Scale in isolation performing comparably to or better than the statistical models for PCL-R total and Factor 2 scores. Results offer limited evidence of convergent validity between the PAI and the PCL-R.

  1. Use cases and DEMO: aligning functional features of ICT-infrastructure to business processes.

    Science.gov (United States)

    Maij, E; Toussaint, P J; Kalshoven, M; Poerschke, M; Zwetsloot-Schonk, J H M

    2002-11-12

    The proper alignment of functional features of the ICT-infrastructure to business processes is a major challenge in health care organisations. This alignment takes into account that the organisational structure not only shapes the ICT-infrastructure, but that the inverse also holds. To solve the alignment problem, relevant features of the ICT-infrastructure should be derived from the organisational structure and the influence of this envisaged ICT to the work practices should be pointed out. The objective of our study was to develop a method to solve this alignment problem. In a previous study we demonstrated the appropriateness of the business process modelling methodology Dynamic Essential Modelling of Organizations (DEMO). A proven and widely used modelling language for expressing functional features is Unified Modelling Language (UML). In the context of a specific case study at the University Medical Centre Utrecht in the Netherlands we investigated if the combined use of DEMO and UML could solve the alignment problem. The study demonstrated that the DEMO models were suited as a starting point in deriving system functionality by using the use case concept of UML. Further, the case study demonstrated that in using this approach for the alignment problem, insight is gained into the mutual influence of ICT-infrastructure and organisation structure: (a) specification of independent, re-usable components-as a set of related functionalities-is realised, and (b) a helpful representation of the current and future work practice is provided for in relation to the envisaged ICT support.

  2. Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

    Science.gov (United States)

    Choi, Ickwon; Chung, Amy W; Suscovich, Todd J; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J; Francis, Donald; Robb, Merlin L; Michael, Nelson L; Kim, Jerome H; Alter, Galit; Ackerman, Margaret E; Bailey-Kellogg, Chris

    2015-04-01

    The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity) and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release). We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates.

  3. Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

    Directory of Open Access Journals (Sweden)

    Ickwon Choi

    2015-04-01

    Full Text Available The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release. We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates.

  4. ESSENCE, FEATURES AND FUNCTIONS OF THE LABOUR DIGITAL MARKET

    Directory of Open Access Journals (Sweden)

    N. Azmuk

    2015-06-01

    Full Text Available In the article the author has presented the comparative analysis of both digital and traditional segments of the global labour market. The main functions of the digital labour market are social, economic and stimulant ones. The features of the digital labour market are digital employment, globality, high level of flexibility, large competition, dynamic changes of labour force and working places. The main kinds of digital employment are electronic free lance and electronic outsourcing. In the article the advantages and the risks of digital employment using have been determined.

  5. Examining the influence of psychopathy, hostility biases, and automatic processing on criminal offenders' Theory of Mind.

    Science.gov (United States)

    Nentjes, Lieke; Bernstein, David; Arntz, Arnoud; van Breukelen, Gerard; Slaats, Mariëtte

    2015-01-01

    Theory of Mind (ToM) is a social perceptual skill that refers to the ability to take someone else's perspective and infer what others think. The current study examined the effect of potential hostility biases, as well as controlled (slow) versus automatic (fast) processing on ToM performance in psychopathy. ToM abilities (as assessed with the Reading the Mind in the Eyes Test; RMET; Baron-Cohen, Wheelwright, Hill, Raste, & Plumb, 2001), was compared between 39 PCL-R diagnosed psychopathic offenders, 37 non-psychopathic offenders, and 26 nonoffender controls. Contrary to our hypothesis, psychopathic individuals presented with intact overall RMET performance when restrictions were imposed on how long task stimuli could be processed. In addition, psychopaths did not over-ascribe hostility to task stimuli (i.e., lack of hostility bias). However, there was a significant three-way interaction between hostility, processing speed, and psychopathy: when there was no time limit on stimulus presentation, psychopathic offenders made fewer errors in identifying more hostile eye stimuli compared to nonoffender controls, who seemed to be less accurate in detecting hostility. Psychopaths' more realistic appraisal of others' malevolent mental states is discussed in the light of theories that stress its potential adaptive function. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Unravelling the Functional Biomechanics of Dental Features and Tooth Wear

    OpenAIRE

    Benazzi, Stefano; Nguyen, Huynh Nhu; Kullmer, Ottmar; Hublin, Jean-Jacques

    2013-01-01

    Most of the morphological features recognized in hominin teeth, particularly the topography of the occlusal surface, are generally interpreted as an evolutionary functional adaptation for mechanical food processing. In this respect, we can also expect that the general architecture of a tooth reflects a response to withstand the high stresses produced during masticatory loadings. Here we use an engineering approach, finite element analysis (FEA), with an advanced loading concept derived from i...

  7. featsel: A framework for benchmarking of feature selection algorithms and cost functions

    OpenAIRE

    Marcelo S. Reis; Gustavo Estrela; Carlos Eduardo Ferreira; Junior Barrera

    2017-01-01

    In this paper, we introduce featsel, a framework for benchmarking of feature selection algorithms and cost functions. This framework allows the user to deal with the search space as a Boolean lattice and has its core coded in C++ for computational efficiency purposes. Moreover, featsel includes Perl scripts to add new algorithms and/or cost functions, generate random instances, plot graphs and organize results into tables. Besides, this framework already comes with dozens of algorithms and co...

  8. Mobile personal health records: an evaluation of features and functionality.

    Science.gov (United States)

    Kharrazi, Hadi; Chisholm, Robin; VanNasdale, Dean; Thompson, Benjamin

    2012-09-01

    To evaluate stand-alone mobile personal health record (mPHR) applications for the three leading cellular phone platforms (iOS, BlackBerry, and Android), assessing each for content, function, security, and marketing characteristics. Nineteen stand-alone mPHR applications (8 for iOS, 5 for BlackBerry, and 6 for Android) were identified and evaluated. Main criteria used to include mPHRs were: operating standalone on a mobile platform; not requiring external connectivity; and covering a wide range of health topics. Selected mPHRs were analyzed considering product characteristics, data elements, and application features. We also reviewed additional features such as marketing tactics. Within and between the different mobile platforms attributes for the mPHR were highly variable. None of the mPHRs contained all attributes included in our evaluation. The top four mPHRs contained 13 of the 14 features omitting only the in-case-of emergency feature. Surprisingly, seven mPHRs lacked basic security measures as important as password protection. The mPHRs were relatively inexpensive: ranging from no cost to $9.99. The mPHR application cost varied in some instances based on whether it supported single or multiple users. Ten mPHRs supported multiple user profiles. Notably, eight mPHRs used scare tactics as marketing strategy. mPHR is an emerging health care technology. The majority of existing mPHR apps is limited by at least one of the attributes considered for this study; however, as the mobile market continues to expand it is likely that more comprehensive mPHRs will be developed in the near future. New advancements in mobile technology can be utilized to enhance mPHRs by long-term patient empowerment features. Marketing strategies for mPHRs should target specific subpopulations and avoid scare tactics. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  9. Audio Query by Example Using Similarity Measures between Probability Density Functions of Features

    Directory of Open Access Journals (Sweden)

    Marko Helén

    2010-01-01

    Full Text Available This paper proposes a query by example system for generic audio. We estimate the similarity of the example signal and the samples in the queried database by calculating the distance between the probability density functions (pdfs of their frame-wise acoustic features. Since the features are continuous valued, we propose to model them using Gaussian mixture models (GMMs or hidden Markov models (HMMs. The models parametrize each sample efficiently and retain sufficient information for similarity measurement. To measure the distance between the models, we apply a novel Euclidean distance, approximations of Kullback-Leibler divergence, and a cross-likelihood ratio test. The performance of the measures was tested in simulations where audio samples are automatically retrieved from a general audio database, based on the estimated similarity to a user-provided example. The simulations show that the distance between probability density functions is an accurate measure for similarity. Measures based on GMMs or HMMs are shown to produce better results than that of the existing methods based on simpler statistics or histograms of the features. A good performance with low computational cost is obtained with the proposed Euclidean distance.

  10. Depth-time interpolation of feature trends extracted from mobile microelectrode data with kernel functions.

    Science.gov (United States)

    Wong, Stephen; Hargreaves, Eric L; Baltuch, Gordon H; Jaggi, Jurg L; Danish, Shabbar F

    2012-01-01

    Microelectrode recording (MER) is necessary for precision localization of target structures such as the subthalamic nucleus during deep brain stimulation (DBS) surgery. Attempts to automate this process have produced quantitative temporal trends (feature activity vs. time) extracted from mobile MER data. Our goal was to evaluate computational methods of generating spatial profiles (feature activity vs. depth) from temporal trends that would decouple automated MER localization from the clinical procedure and enhance functional localization in DBS surgery. We evaluated two methods of interpolation (standard vs. kernel) that generated spatial profiles from temporal trends. We compared interpolated spatial profiles to true spatial profiles that were calculated with depth windows, using correlation coefficient analysis. Excellent approximation of true spatial profiles is achieved by interpolation. Kernel-interpolated spatial profiles produced superior correlation coefficient values at optimal kernel widths (r = 0.932-0.940) compared to standard interpolation (r = 0.891). The choice of kernel function and kernel width resulted in trade-offs in smoothing and resolution. Interpolation of feature activity to create spatial profiles from temporal trends is accurate and can standardize and facilitate MER functional localization of subcortical structures. The methods are computationally efficient, enhancing localization without imposing additional constraints on the MER clinical procedure during DBS surgery. Copyright © 2012 S. Karger AG, Basel.

  11. Is Early-onset in Major Depression a Predictor of Specific Clinical Features with More Impaired Social Function?

    Institute of Scientific and Technical Information of China (English)

    Yan-Hong Liu; Lin Chen; Yun-Ai Su; Yi-Ru Fang; Manit Srisurapanont; Jin Pyo Hong; Ahmad Hatim

    2015-01-01

    Background:Early-onset major depressive disorder (MDD) (EOD) is often particularly malignant due to its special clinical features,accompanying impaired social function,protracted recovery time,and frequent recurrence.This study aimed to observe the effects of age onset on clinical characteristics and social function in MDD patients in Asia.Methods:In total,547 out-patients aged 18-65 years who were from 13 study sites in five Asian countries were included.These patients had MDD diagnose according to the Diagnostic and Statistical Manual of Mental Disorders,4th Edition criteria.Clinical features and social function were assessed using Symptom Checklist-90-revised (SCL-90-R) and Sheehan Disability Scale (SDS).Quality of life was assessed by a 36-item Short-form Health Survey (SF-36).Analyses were performed using a continuous or dichotomous (cut-off:30 years)age-of-onset indicator.Results:Early-onset MDD (EOD,<30 years) was associated with longer illness (P =0.003),unmarried status (P < 0.001),higher neuroticism (P ≤ 0.002) based on the SCL-90-R,and more limited social function and mental health (P =0.006,P =0.007) based on the SF-36 and SDS.The impairment of social function and clinical severity were more prominent at in-patients with younger onset ages.Special clinical features and more impaired social function and quality of life were associated with EOD,as in western studies.Conclusions:EOD often follows higher levels of neuroticism.Age of onset of MDD may be a predictor of clinical features and impaired social function,allowing earlier diagnosis and treatment.

  12. Development and preliminary validation of a self-report measure of psychopathic personality traits in noncriminal populations.

    Science.gov (United States)

    Lilienfeld, S O; Andrews, B P

    1996-06-01

    Research on psychopathology has been hindered by persisting difficulties and controversies regarding its assessment. The primary goals of this set of studies were to (a) develop, and initiate the construct validation of, a self-report measure that assesses the major personality traits of psychopathy in noncriminal populations and (b) clarify the nature of these traits via an exploratory approach to test construction. This measure, the Psychopathic Personality Inventory (PPI), was developed by writing items to assess a large number of personality domains relevant to psychopathy and performing successive item-level factor analyses and revisions on three undergraduate samples. The PPI total score and its eight subscales were found to possess satisfactory internal consistency and test-retest reliability. In four studies with undergraduates, the PPI and its subscales exhibited a promising pattern of convergent and discriminant validity with self-report, psychiatric interview, observer rating, and family history data. In addition, the PPI total score demonstrated incremental validity relative to several commonly used self-report psychopathy-related measures. Future construct validation studies, unresolved conceptual issues regarding the assessment of psychopathy, and potential research uses of the PPI are outlined.

  13. Fractographic features of glass-ceramic and zirconia-based dental restorations fractured during clinical function.

    Science.gov (United States)

    Oilo, Marit; Hardang, Anne D; Ulsund, Amanda H; Gjerdet, Nils R

    2014-06-01

    Fractures during clinical function have been reported as the major concern associated with all-ceramic dental restorations. The aim of this study was to analyze the fracture features of glass-ceramic and zirconia-based restorations fractured during clinical use. Twenty-seven crowns and onlays were supplied by dentists and dental technicians with information about type of cement and time in function, if available. Fourteen lithium disilicate glass-ceramic restorations and 13 zirconia-based restorations were retrieved and analyzed. Fractographic features were examined using optical microscopy to determine crack initiation and crack propagation of the restorations. The material comprised fractured restorations from one canine, 10 incisors, four premolars, and 11 molars. One crown was not categorized because of difficulty in orientation of the fragments. The results revealed that all core and veneer fractures initiated in the cervical margin and usually from the approximal area close to the most coronally placed curvature of the margin. Three cases of occlusal chipping were found. The margin of dental all-ceramic single-tooth restorations was the area of fracture origin. The fracture features were similar for zirconia, glass-ceramic, and alumina single-tooth restorations. Design features seem to be of great importance for fracture initiation. © 2014 Eur J Oral Sci.

  14. Dissociable relations between amygdala subregional networks and psychopathy trait dimensions in conduct‐disordered juvenile offenders

    Science.gov (United States)

    Colins, Olivier F.; Klapwijk, Eduard T.; Veer, Ilya M.; Andershed, Henrik; Popma, Arne; van der Wee, Nic J.; Vermeiren, Robert R.J.M.

    2016-01-01

    Abstract Psychopathy is a serious psychiatric phenomenon characterized by a pathological constellation of affective (e.g., callous, unemotional), interpersonal (e.g., manipulative, egocentric), and behavioral (e.g., impulsive, irresponsible) personality traits. Though amygdala subregional defects are suggested in psychopathy, the functionality and connectivity of different amygdala subnuclei is typically disregarded in neurocircuit‐level analyses of psychopathic personality. Hence, little is known of how amygdala subregional networks may contribute to psychopathy and its underlying trait assemblies in severely antisocial people. We addressed this important issue by uniquely examining the intrinsic functional connectivity of basolateral (BLA) and centromedial (CMA) amygdala networks in relation to affective, interpersonal, and behavioral traits of psychopathy, in conduct‐disordered juveniles with a history of serious delinquency (N = 50, mean age = 16.83 ± 1.32). As predicted, amygdalar connectivity profiles exhibited dissociable relations with different traits of psychopathy. Interpersonal psychopathic traits not only related to increased connectivity of BLA and CMA with a corticostriatal network formation accommodating reward processing, but also predicted stronger CMA connectivity with a network of cortical midline structures supporting sociocognitive processes. In contrast, affective psychopathic traits related to diminished CMA connectivity with a frontolimbic network serving salience processing and affective responding. Finally, behavioral psychopathic traits related to heightened BLA connectivity with a frontoparietal cluster implicated in regulatory executive functioning. We suggest that these trait‐specific shifts in amygdalar connectivity could be particularly relevant to the psychopathic phenotype, as they may fuel a self‐centered, emotionally cold, and behaviorally disinhibited profile. Hum Brain Mapp 37:4017–4033, 2016. © 2016

  15. Is Early-onset in Major Depression a Predictor of Specific Clinical Features with More Impaired Social Function?

    Science.gov (United States)

    Liu, Yan-Hong; Chen, Lin; Su, Yun-Ai; Fang, Yi-Ru; Srisurapanont, Manit; Hong, Jin Pyo; Hatim, Ahmad; Chua, Hong Choon; Bautista, Dianne; Si, Tian-Mei

    2015-01-01

    Background: Early-onset major depressive disorder (MDD) (EOD) is often particularly malignant due to its special clinical features, accompanying impaired social function, protracted recovery time, and frequent recurrence. This study aimed to observe the effects of age onset on clinical characteristics and social function in MDD patients in Asia. Methods: In total, 547 out-patients aged 18–65 years who were from 13 study sites in five Asian countries were included. These patients had MDD diagnose according to the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition criteria. Clinical features and social function were assessed using Symptom Checklist-90-revised (SCL-90-R) and Sheehan Disability Scale (SDS). Quality of life was assessed by a 36-item Short-form Health Survey (SF-36). Analyses were performed using a continuous or dichotomous (cut-off: 30 years) age-of-onset indicator. Results: Early-onset MDD (EOD, <30 years) was associated with longer illness (P = 0.003), unmarried status (P < 0.001), higher neuroticism (P ≤ 0.002) based on the SCL-90-R, and more limited social function and mental health (P = 0.006, P = 0.007) based on the SF-36 and SDS. The impairment of social function and clinical severity were more prominent at in-patients with younger onset ages. Special clinical features and more impaired social function and quality of life were associated with EOD, as in western studies. Conclusions: EOD often follows higher levels of neuroticism. Age of onset of MDD may be a predictor of clinical features and impaired social function, allowing earlier diagnosis and treatment. PMID:25758278

  16. Specific features of vocal fold paralysis in functional computed tomography

    International Nuclear Information System (INIS)

    Laskowska, K.; Mackiewicz-Nartowicz, H.; Serafin, Z.; Nawrocka, E.

    2008-01-01

    Vocal fold paralysis is usually recognized in laryngological examination, and detailed vocal fold function may be established based on laryngovideostroboscopy. Additional imaging should exclude any morphological causes of the paresis, which should be treated pharmacologically or surgically. The aim of this paper was to analyze the computed tomography (CT) images of the larynx in patients with unilateral vocal fold paralysis. CT examinations of the larynx were performed in 10 patients with clinically defined unilateral vocal fold paralysis. The examinations consisted of unenhanced acquisition and enhanced 3-phased acquisition: during free breathing, Valsalva maneuver, and phonation. The analysis included the following morphologic features of the paresis.the deepened epiglottic vallecula, the deepened piriform recess, the thickened and medially positioned aryepiglottic fold, the widened laryngeal pouch, the anteriorly positioned arytenoid cartilage, the thickened vocal fold, and the filled infraglottic space in frontal CT reconstruction. CT images were compared to laryngovideostroboscopy. The most common symptoms of vocal cord paralysis in CT were the deepened epiglottic vallecula and piriform recess, the widened laryngeal pouch with the filled infraglottic space, and the thickened aryepiglottic fold. Regarding the efficiency of the paralysis determination, the three functional techniques of CT larynx imaging used did not differ significantly, and laryngovideostroboscopy demonstrated its advantage over CT. CT of the larynx is a supplementary examination in the diagnosis of vocal fold paralysis, which may enable topographic analysis of the fold dysfunction. The knowledge of morphological CT features of the paralysis may help to prevent false-positive diagnosis of laryngeal cancer. (author)

  17. Gendered contexts: Psychopathy and drug use in relation to sex work and exchange.

    Science.gov (United States)

    Edwards, Bethany G; Verona, Edelyn

    2016-05-01

    Few scholars have examined psychopathology correlates of sex work. It has been suggested that sex work may reflect manifestations of impulsive-antisocial psychopathic traits (e.g., reckless disregard, delinquency) in women more than men. The current work examined relative contributions of drug dependence and distinct psychopathic features in relation to traditional forms of sex work (i.e., prostitution) in women, along with gender differences in psychopathy relationships with casual forms of sex exchange (i.e., trading sex for necessities). Study 1 included 171 community-dwelling women offenders, and Study 2 included 319 participants (42.3% women) with histories of drug use and/or violence. Participants completed the Psychopathy Checklist: Screening Version, prostitution was measured as self-report and/or public record data across studies, and sex exchange in Study 2 was assessed using a questionnaire based on prior research on sexual risk-taking. Findings across both studies demonstrated that although psychopathic traits, particularly impulsive-antisocial features, were associated with prostitution in women above the use of drugs, drug dependence did not moderate the relationship between psychopathic traits and prostitution in women. Analyses of Study 2 data revealed that impulsive-antisocial traits were associated with sex exchange at low, but not high, levels of interpersonal-affective traits across participants. As well, interpersonal-affective traits were significantly positively related to sex exchange in men and not significantly (and negatively) related in women. In sum, impulsive-antisocial traits related to prostitution among women, suggesting that women may manifest these traits within intimate contexts. Moreover, findings indicated gender differences in the manifestation of interpersonal-affective traits within sexual exchange contexts. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  18. Gendered contexts: psychopathy and drug use in relation to sex work and exchange

    Science.gov (United States)

    Edwards, Bethany G.; Verona, Edelyn

    2016-01-01

    Few scholars have examined psychopathology correlates of sex work. It has been suggested that sex work may reflect manifestations of impulsive-antisocial psychopathic traits (e.g., reckless disregard, delinquency) in women more than men. The current work examined relative contributions of drug dependence and distinct psychopathic features in relation to traditional forms of sex work (i.e., prostitution) in women, along with gender differences in psychopathy relationships with casual forms of sex exchange (i.e., trading sex for necessities). Study 1 included 171 community-dwelling women offenders, and Study 2 included 319 participants (42.3% women) with histories of drug use and/or violence. Participants completed the Psychopathy Checklist: Screening Version, prostitution was measured as self-report and/or public record data across studies, and sex exchange in Study 2 was assessed using a questionnaire based on prior research on sexual risk-taking. Findings across both studies demonstrated that while psychopathic traits, particularly impulsive-antisocial features, were associated with prostitution in women above the use of drugs, drug dependence did not moderate the relationship between psychopathic traits and prostitution in women. Analyses of Study 2 data revealed that impulsive-antisocial traits were associated with sex exchange at low, but not high, levels of interpersonal-affective traits across participants. As well, interpersonal-affective traits were significantly positively related to sex exchange in men and not significantly (and negatively) related in women. In sum, impulsive-antisocial traits related to prostitution among women, suggesting that women may manifest these traits within intimate contexts. Moreover, findings indicated gender differences in the manifestation of interpersonal-affective traits within sexual exchange contexts. PMID:27030996

  19. Semi-Local DFT Functionals with Exact-Exchange-Like Features: Beyond the AK13

    Science.gov (United States)

    Armiento, Rickard

    The Armiento-Kümmel functional from 2013 (AK13) is a non-empirical semi-local exchange functional on generalized gradient approximation form (GGA) in Kohn-Sham (KS) density functional theory (DFT). Recent works have established that AK13 gives improved electronic-structure exchange features over other semi-local methods, with a qualitatively improved orbital description and band structure. For example, the Kohn-Sham band gap is greatly extended, as it is for exact exchange. This talk outlines recent efforts towards new exchange-correlation functionals based on, and extending, the AK13 design ideas. The aim is to improve the quantitative accuracy, the description of energetics, and to address other issues found with the original formulation. Swedish e-Science Research Centre (SeRC).

  20. Child serial murder-psychodynamics: closely watched shadows.

    Science.gov (United States)

    Turco, R

    2001-01-01

    There is a malignant transformation in object relations resulting in an identification with an omnipotent and cruel object resulting in an identity transformation. If the tension, desperation, and dissociation increase, serial murder becomes spree murder. The presence of pathological narcissism and psychopathic tendencies are of diagnostic significance in understanding the murderer's personality functioning and motivation to kill. Meloy (1988) considered the degree of sadism and aggression combined with narcissistic qualities to reflect the "malignancy" of the psychopathic disturbance where gratification (of aggression) occurs in the service of narcissistic functioning--that is, cruelty toward others in the form of a triumphant victory over a rejecting object. Meloy also believes that dissociation is ubiquitious in the psychopath. The initial murder of the serial murderer may reflect a "new identity." The pathological object-relations of narcissism and the malignant narcissism are important diagnostic indicators in the personality functioning of serial killers and the occurrence of these phenomena is a significant factor in the formation of the personalities of serial killers, their inner motivations, and their pattern of commission.

  1. Dissociable relations between amygdala subregional networks and psychopathy trait dimensions in conduct-disordered juvenile offenders.

    Science.gov (United States)

    Aghajani, Moji; Colins, Olivier F; Klapwijk, Eduard T; Veer, Ilya M; Andershed, Henrik; Popma, Arne; van der Wee, Nic J; Vermeiren, Robert R J M

    2016-11-01

    Psychopathy is a serious psychiatric phenomenon characterized by a pathological constellation of affective (e.g., callous, unemotional), interpersonal (e.g., manipulative, egocentric), and behavioral (e.g., impulsive, irresponsible) personality traits. Though amygdala subregional defects are suggested in psychopathy, the functionality and connectivity of different amygdala subnuclei is typically disregarded in neurocircuit-level analyses of psychopathic personality. Hence, little is known of how amygdala subregional networks may contribute to psychopathy and its underlying trait assemblies in severely antisocial people. We addressed this important issue by uniquely examining the intrinsic functional connectivity of basolateral (BLA) and centromedial (CMA) amygdala networks in relation to affective, interpersonal, and behavioral traits of psychopathy, in conduct-disordered juveniles with a history of serious delinquency (N = 50, mean age = 16.83 ± 1.32). As predicted, amygdalar connectivity profiles exhibited dissociable relations with different traits of psychopathy. Interpersonal psychopathic traits not only related to increased connectivity of BLA and CMA with a corticostriatal network formation accommodating reward processing, but also predicted stronger CMA connectivity with a network of cortical midline structures supporting sociocognitive processes. In contrast, affective psychopathic traits related to diminished CMA connectivity with a frontolimbic network serving salience processing and affective responding. Finally, behavioral psychopathic traits related to heightened BLA connectivity with a frontoparietal cluster implicated in regulatory executive functioning. We suggest that these trait-specific shifts in amygdalar connectivity could be particularly relevant to the psychopathic phenotype, as they may fuel a self-centered, emotionally cold, and behaviorally disinhibited profile. Hum Brain Mapp 37:4017-4033, 2016. © 2016 The Authors Human

  2. Psychological Aspects of Gilles De La Tourette Syndrome.

    Science.gov (United States)

    Grossman, Hildreth Youkilis; And Others

    1986-01-01

    Evaluated the psychopathological features that may underlie or accompany Gilles de la Tourette Syndrome. Univariate analyses indicated that Tourette subjects scored higher on the following scales of the Minnesota Multiphasic Personality Inventory: Schizophrenia, Depression, Psychopathic Deviate, Psychasthenia and Hypochondriasis. The results…

  3. Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior.

    Science.gov (United States)

    Groen, Iris Ia; Greene, Michelle R; Baldassano, Christopher; Fei-Fei, Li; Beck, Diane M; Baker, Chris I

    2018-03-07

    Inherent correlations between visual and semantic features in real-world scenes make it difficult to determine how different scene properties contribute to neural representations. Here, we assessed the contributions of multiple properties to scene representation by partitioning the variance explained in human behavioral and brain measurements by three feature models whose inter-correlations were minimized a priori through stimulus preselection. Behavioral assessments of scene similarity reflected unique contributions from a functional feature model indicating potential actions in scenes as well as high-level visual features from a deep neural network (DNN). In contrast, similarity of cortical responses in scene-selective areas was uniquely explained by mid- and high-level DNN features only, while an object label model did not contribute uniquely to either domain. The striking dissociation between functional and DNN features in their contribution to behavioral and brain representations of scenes indicates that scene-selective cortex represents only a subset of behaviorally relevant scene information.

  4. Hippocampal sleep features: relations to human memory function

    Directory of Open Access Journals (Sweden)

    Michele eFerrara

    2012-04-01

    Full Text Available The recent spread of intracranial EEG recordings techniques for presurgical evaluation of drug-resistant epileptic patients is providing new information on the activity of different brain structures during both wakefulness and sleep. The interest has been mainly focused on the medial temporal lobe, and in particular the hippocampal formation, whose peculiar local sleep features have been recently described, providing support to the idea that sleep is not a spatially global phenomenon. The study of the hippocampal sleep electrophysiology is particularly interesting because of its central role in the declarative memory formation. Recent data indicate that sleep contributes to memory formation. Therefore, it is relevant to understand whether specific pattern of activity taking place during sleep are related to memory consolidation processes. Fascinating similarities between different states of consciousness (wakefulness, REM sleep, NREM sleep in some electrophysiological mechanisms underlying cognitive processes have been reported. For instance, large-scale synchrony in gamma activity is important for waking memory and perception processes, and its changes during sleep may be the neurophysiological substrate of sleep-related deficits of declarative memory. Hippocampal activity seems to specifically support memory consolidation during sleep, through specific coordinated neurophysiological events (slow waves, spindles, ripples that would facilitate the integration of new information into the pre-existing cortical networks. A few studies indeed provided direct evidence that rhinal ripples as well as slow hippocampal oscillations are correlated with memory consolidation in humans. More detailed electrophysiological investigations assessing the specific relations between different types of memory consolidation and hippocampal EEG features are in order. These studies will add an important piece of knowledge to the elucidation of the ultimate sleep

  5. Hippocampal Sleep Features: Relations to Human Memory Function

    Science.gov (United States)

    Ferrara, Michele; Moroni, Fabio; De Gennaro, Luigi; Nobili, Lino

    2012-01-01

    The recent spread of intracranial electroencephalographic (EEG) recording techniques for presurgical evaluation of drug-resistant epileptic patients is providing new information on the activity of different brain structures during both wakefulness and sleep. The interest has been mainly focused on the medial temporal lobe, and in particular the hippocampal formation, whose peculiar local sleep features have been recently described, providing support to the idea that sleep is not a spatially global phenomenon. The study of the hippocampal sleep electrophysiology is particularly interesting because of its central role in the declarative memory formation. Recent data indicate that sleep contributes to memory formation. Therefore, it is relevant to understand whether specific patterns of activity taking place during sleep are related to memory consolidation processes. Fascinating similarities between different states of consciousness (wakefulness, REM sleep, non-REM sleep) in some electrophysiological mechanisms underlying cognitive processes have been reported. For instance, large-scale synchrony in gamma activity is important for waking memory and perception processes, and its changes during sleep may be the neurophysiological substrate of sleep-related deficits of declarative memory. Hippocampal activity seems to specifically support memory consolidation during sleep, through specific coordinated neurophysiological events (slow waves, spindles, ripples) that would facilitate the integration of new information into the pre-existing cortical networks. A few studies indeed provided direct evidence that rhinal ripples as well as slow hippocampal oscillations are correlated with memory consolidation in humans. More detailed electrophysiological investigations assessing the specific relations between different types of memory consolidation and hippocampal EEG features are in order. These studies will add an important piece of knowledge to the elucidation of the ultimate

  6. Clinical features of unspecified functional bowel disorder in servicemen from a Chinese army unit

    Directory of Open Access Journals (Sweden)

    Xin YAO

    2017-02-01

    Full Text Available Objective To investigate clinical manifestation of unspecified functional bowel disorder (UFBD, the features of coexistence with functional gastrointestinal disorder (FGID and its relationship with psychological factors and sleep disturbance in the Chinese Army servicemen. Methods cFGIDs were diagnosed based on the Rome Ⅲ Modular Questionnaire. The subjects were 189 servicemen with UFBD (UFBD group and 372 without FGID (control group. All subjects completed symptom checklist 90 (SCL-90 and Pittsburgh Sleep Quality Index (PSQI questionnaire. Results 'Have to rush to the toilet when having a desire to defecate' was the most frequent symptom of UFBD (93.7%. More than one half of UFBD patients had the symptom 'a feeling of incomplete emptying as bowel movements' or 'straining during bowel movements'. Twenty-eight percent of UFBD subjects had combined FGID (namely cFGID. Among them, the most frequent was proctalgia fugax (7.9%, followed by cyclic vomiting syndrome (6.3%, functional fecal incontinence (6.3%, functional dyspepsia (4.8% and belching (4.8%. The UFBD group scored significantly higher than the control group in the global severity index (GSI and in all SCL-90 subscales (P0.05. Conclusion Pathogenesis of UFBD may be closely correlated with psychiatric and psychological factors and sleep disturbance. cFGID are associated with an increased severity of psychopathological features. DOI: 10.11855/j.issn.0577-7402.2017.01.15

  7. Anatomic features and function of the macula and outcome of surgical tenotomy and reattachment in achiasma.

    Science.gov (United States)

    Weiss, Avery H; Phillips, James O; Kelly, John P

    2013-07-01

    To examine the anatomic features and function of the macula in achiasma and to compare visual acuity, eye movements, foveation, and eye velocity before and after tenotomy and reattachment (T&R) surgery. Case series. Two children with isolated achiasma. Ophthalmologic examinations, brain magnetic resonance imaging, full-field and multifocal electroretinography (ERG), visual evoked potentials (VEPs), spectral-domain optical coherence tomography (OCT), eye-movement recordings, and unilateral T&R in 1 patient. Visual acuity before and after surgery, macular anatomic features and function, and eye velocity before and after T&R surgery in 1 patient. Magnetic resonance imaging and VEP confirmed absence of decussation of retinofugal fibers in both patients. Visual acuity was 20/100 and 20/200. The anatomic features and function of the fovea and macula were normal by OCT and multifocal ERG. After T&R, there was a marked reduction in horizontal eye velocity and monocular visual acuity improved to 20/80. The finding that the macula is normal in achiasma suggests that reduced acuity is the result of retinal image motion from nystagmus. Two-muscle T&R reduces horizontal retinal image motion and can improve visual acuity in achiasma or patients with infantile nystagmus. Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

  8. Perspectives on Oppositional Defiant Disorder, Conduct Disorder, and Psychopathic Features

    Science.gov (United States)

    Loeber, Rolf; Burke, Jeffrey; Pardini, Dustin A.

    2009-01-01

    This paper presents a few perspectives on oppositional defiant disorder (ODD), conduct disorder (CD), and early forms of psychopathy. The developmental changes and stability of each, and the interrelationship between the three conditions are reviewed, and correlates and predictors are highlighted. The paper also examines effective interventions…

  9. Take the money and run: Psychopathic behavior in the trust game

    Directory of Open Access Journals (Sweden)

    Manuel Ignacio Ibáñez

    2016-11-01

    Full Text Available We study the association among different sources of individual differences such as personality, cognitive ability and risk attitudes with trust and reciprocate behavior in an incentivized experimental binary trust game in a sample of 220 (138 females undergraduate students. The game involves two players, player 1 (P1 and player 2 (P2. In the first stage, P1 decides whether to trust and let P2 decide, or to secure an egalitarian payoff for both players. If P1 trusts P2, the latter can choose between a symmetric payoff that is double than the secure alternative discarded by P1, and an asymmetric payoff in which P2 earns more than in any other case but makes P1 worse off. Before the main experiment, we obtained participants’ scores for Abstract Reasoning (AR, risk attitudes, basic personality characteristics, and specific traits such as psychopathy and impulsivity. During the main experiment, we measured Heart Rate (HR and Electrodermal Activity (EDA variation to account for emotional arousal caused by the decision and feedback processes. Our main findings indicate that, on one hand, P1 trust behavior associates to positive emotionality and, specifically, to the extraversion’s warmth facet. In addition, the impulsivity facet of positive urgency also favors trust behavior. No relation to trusting behavior was found for either other major personality aspects or risk attitudes. The physiological results show that participants scoring high in psychopathy exhibit increased EDA and reduced evoked HR deceleration at the moment in which they are asked to decide whether or not to trust. Regarding P2, we find that AR ability and mainly low disagreeable disinhibition favor reciprocal behavior. Specifically, lack of reciprocity significantly relates with a psychopathic, highly disinhibited and impulsive personality. Thus, the present study suggests that personality characteristics would play a significant role in different behaviors underlying cooperation

  10. Suicidality as a Function of Impulsivity, Callous/Unemotional Traits, and Depressive Symptoms in Youth

    Science.gov (United States)

    Javdani, Shabnam; Sadeh, Naomi; Verona, Edelyn

    2012-01-01

    Suicidality represents one of the most important areas of risk for adolescents, with both internalizing (e.g., depression, anxiety) and externalizing/antisocial (e.g., substance use, conduct) disorders conferring risk for suicidal ideation and attempts (e.g., Bridge et al., 2006). However, no study has attended to gender differences in relationships between suicidality and different facets of psychopathic tendencies in youth. Further, very little research has focused on disentangling the multiple manifestations of suicide risk in the same study, including behaviors (suicide attempts with intent to die, self- injurious behavior) and general suicide risk marked by suicidal ideation/plans. To better understand these relationships, we recruited 184 adolescents from the community and those in treatment. As predicted, psychopathic traits and depressive symptoms in youth showed differential associations with components of suicidality. Specifically, impulsive traits uniquely contributed to suicide attempts and self- injurious behaviors, above the influence of depression. Indeed, once psychopathic tendencies were entered in the model, depressive symptoms only explained general suicide risk marked by ideation/plans but not behaviors. Further, callous/unemotional traits conferred protection from suicide attempts selectively in girls. These findings have important implications for developing integrative models that incorporate differential relationships between 1) depressed mood and 2) personality risk factors (i.e., impulsivity and callous-unemotional traits) for suicidality in youth. PMID:21280931

  11. A new entropy function for feature extraction with the refined scores as a classifier for the unconstrained ear verification

    Directory of Open Access Journals (Sweden)

    Mamta Bansal

    2017-05-01

    Full Text Available For high end security like surveillance there is a need for a robust system capable of verifying a person under the unconstrained conditions. This paper presents the ear based verification system using a new entropy function that changes not only the information gain function but also the information source values. This entropy function displays peculiar characteristics such as splitting into two modes. Two types of entropy features: Effective Gaussian Information source value and Effective Exponential Information source value functions are derived using the entropy function. To classify the entropy features we have devised refined scores (RS method that refines the scores generated using the Euclidean distance. The experimental results vindicate the superiority of proposed method over literature.

  12. FUNCTIONING FEATURES OF COMPUTER TECHNOLOGY WHILE FORMING PRIMARY SCHOOLCHILDREN’S COMMUNICATIVE COMPETENCE

    Directory of Open Access Journals (Sweden)

    Olena Beskorsa

    2017-04-01

    Full Text Available The article reveals the problem of functioning features of computer technology while forming primary schoolchildren’s communicative competence whose relevance is proved by the increasing role of a foreign language as a means of communication and modernization of foreign language education. There is a great deal of publications devoted to the issue of foreign language learning at primary school by N. Biriukevych, O. Kolominova, O. Metolkina, O. Petrenko, V. Redko, S. Roman. Implementing of innovative technology as well as computer one is to intensify the language learning process and to improve young learners’ communicative skills. The aim of the article is to identify computer technology functioning features while forming primary schoolchildren communicative competence. In this study we follow the definition of the computer technology as an information technology whose implementation may be accompanied with a computer as one of the tools, excluding the use of audio and video equipment, projectors and other technical tools. Using computer technologies is realized due to a number of tools which are divided into two main groups: electronic learning materials; computer testing software. The analysis of current textbooks and learning and methodological complexes shows that teachers prefer authentic electronic materials to the national ones. The most available English learning materials are on the Internet and they are free. The author of the article discloses several on-line English learning tools and depict the opportunities to use them while forming primary schoolchildren’s communicative competence. Special attention is also paid to multimedia technology, its functioning features and multimedia lesson structure. Computer testing software provides tools for current and control assessing results of mastering language material, communicative skills, and self-assessing in an interactive way. For making tests for assessing English skill

  13. Convergent and Discriminant Validity of Psychopathy Factors Assessed via Self-Report: A Comparison of Three Instruments

    Science.gov (United States)

    Benning, Stephen D.; Patrick, Christopher J.; Salekin, Randall T.; Leistico, Anne-Marie R.

    2005-01-01

    Psychopathy has been conceptualized as a personality disorder with distinctive interpersonal-affective and behavioral deviance features. The authors examine correlates of the factors of the Psychopathic Personality Inventory (PPI), Self-Report Psychopathy-II (SRP-II) scale, and Antisocial Process Screening Device (APSD) to understand similarities…

  14. Socioemotional processing of morally-laden behavior and their consequences on others in forensic psychopaths.

    Science.gov (United States)

    Decety, Jean; Chen, Chenyi; Harenski, Carla L; Kiehl, Kent A

    2015-06-01

    A large body of evidence supports the view that psychopathy is associated with anomalous emotional processing, reduced guilt and empathy, which are important risk factors for criminal behaviors. However, the precise nature and specificity of this atypical emotional processing is not well understood, including its relation to moral judgment. To further our understanding of the pattern of neural response to perceiving and evaluating morally-laden behavior, this study included 155 criminal male offenders with various level of psychopathy, as assessed with the Psychopathy Check List-Revised. Participants were scanned while viewing short clips depicting interactions between two individuals resulting in either interpersonal harm or interpersonal assistance. After viewing each clip, they were asked to identify the emotions of the protagonists. Inmates with high levels of psychopathy were more accurate than controls in successfully identifying the emotion of the recipient of both helpful and harmful actions. Significant hemodynamic differences were detected in the posterior superior temporal sulcus, amygdala, insula, ventral striatum, and prefrontal cortex when individuals with high psychopathy viewed negative versus positive scenarios moral scenarios and when they evaluated the emotional responses of the protagonists. These findings suggest that socioemotional processing abnormalities in psychopathy may be somewhat more complicated than merely a general or specific emotional deficit. Rather, situation-specific evaluations of the mental states of others, in conjunction with sensitivity to the nature of the other (victim vs. perpetrator), modulate attention to emotion-related cues. Such atypical processing likely impacts moral decision-making and behavior in psychopaths. © 2015 Wiley Periodicals, Inc.

  15. A Cp-theory problem book special features of function spaces

    CERN Document Server

    Tkachuk, Vladimir V

    2014-01-01

    The books in Vladimir Tkachuk’s A Cp-Theory Problem Book series will be the ‘go to’ texts for basic reference to Cp-theory. This second volume, Special Features of Function Spaces, gives a reasonably complete coverage of Cp-theory, systematically introducing each of the major topics and providing  500 carefully selected problems and exercises with complete solutions. Bonus results and open problems are also given. The text is designed to bring a dedicated reader from basic topological principles to the frontiers of modern research covering a wide variety of topics in Cp-theory and general topology at the professional level. The first volume, Topological and Function Spaces © 2011, provided an introduction from scratch to Cp-theory and general topology, preparing the reader for a professional understanding of Cp-theory in the last section of its main text. This second volume continues from the first, and can be used as a textbook for courses in both Cp-theory and general topology as well as a referenc...

  16. Obsessions graphomaniaques, puérilisme, chez un psychopathe homosexuel: Contribution clinico-psychologique à l'étude des arriérations psycho-affectives

    Directory of Open Access Journals (Sweden)

    M. Schachter

    1948-06-01

    Full Text Available Étude clinique et psychologique d'un jeune sujet psychopathe, présentant un comportement puerile et schizoide, des obsessions gra-phomaniaques, des tendances homosexuelles et ayant commis, également des actes anti-sociaux (escroqueries. L'auteur a pu pratiquer deux fois le test de Rorschach, à un an d'intervalle. Il discute la difficulté qui existe, actuellement encore, de definir Thomosexualite à la lumière de ce test et envisage la graphomanie puerile du malade comme une sorte d'arrieration affective au stade des graphismes ludiques. En réalité, selon l'auteur, on pourrait considérer le tableau psychopathologique presente para le malade, comme l'expression d'une arriération affective, en y faisant rentrer la puérilité du sujet, ses obsessions graphomaniaques et la pédérastie (cette dernière, comme expression symbolique de l'indifférenciation psycho-sexuelle.

  17. Dimensions of Psychopathy and Their Relationships to Cognitive Functioning in Children

    Science.gov (United States)

    Fontaine, Nathalie; Barker, Edward D.; Salekin, Randall T.; Viding, Essi

    2008-01-01

    Individuals with psychopathic traits are hypothesized to be free of intellectual deficits and possibly even to exhibit good cognitive abilities. Previous studies, based on clinical and incarcerated youth, have shown inconsistent findings. We investigated the relationships between different dimensions of psychopathy (callous/unemotional traits,…

  18. The clinical features of EDNOS: relationship to mood, health status and general functioning.

    Science.gov (United States)

    Turner, Hannah; Bryant-Waugh, Rachel; Peveler, Robert

    2010-04-01

    Eating disorder not otherwise specified (EDNOS) remains poorly evaluated in terms of eating disorder features and relationship to mood, health status and general functioning. This study investigated the clinical profiles of a sample of EDNOS patients, and how they compared to patients with anorexia nervosa (AN) and bulimia nervosa (BN). The sample consisted of 178 patients. All completed the Eating Disorder Examination, Beck Depression Inventory, Work and Social Adjustment Scale and Sf-36. ANOVAs were conducted to explore group differences. No differences were found for depression. No differences were found between BN and EDNOS on measures of health status and general functioning. AN patients reported greater role limitations due to physical health and experienced greater physical pain compared with BN or EDNOS patients, and reported poorer social functioning, lower vitality and higher functional impairment compared with EDNOS patients. EDNOS patients are generally no less clinically impaired than those with BN. However AN patients may be more impaired in some aspects of general functioning compared with BN or EDNOS patients. Copyright 2009 Elsevier Ltd. All rights reserved.

  19. Genetic, functional and molecular features of glucocorticoid receptor binding.

    Directory of Open Access Journals (Sweden)

    Francesca Luca

    Full Text Available Glucocorticoids (GCs are key mediators of stress response and are widely used as pharmacological agents to treat immune diseases, such as asthma and inflammatory bowel disease, and certain types of cancer. GCs act mainly by activating the GC receptor (GR, which interacts with other transcription factors to regulate gene expression. Here, we combined different functional genomics approaches to gain molecular insights into the mechanisms of action of GC. By profiling the transcriptional response to GC over time in 4 Yoruba (YRI and 4 Tuscans (TSI lymphoblastoid cell lines (LCLs, we suggest that the transcriptional response to GC is variable not only in time, but also in direction (positive or negative depending on the presence of specific interacting transcription factors. Accordingly, when we performed ChIP-seq for GR and NF-κB in two YRI LCLs treated with GC or with vehicle control, we observed that features of GR binding sites differ for up- and down-regulated genes. Finally, we show that eQTLs that affect expression patterns only in the presence of GC are 1.9-fold more likely to occur in GR binding sites, compared to eQTLs that affect expression only in its absence. Our results indicate that genetic variation at GR and interacting transcription factors binding sites influences variability in gene expression, and attest to the power of combining different functional genomic approaches.

  20. Flexible feature interface for multimedia sources

    Science.gov (United States)

    Coffland, Douglas R [Livermore, CA

    2009-06-09

    A flexible feature interface for multimedia sources system that includes a single interface for the addition of features and functions to multimedia sources and for accessing those features and functions from remote hosts. The interface utilizes the export statement: export "C" D11Export void FunctionName(int argc, char ** argv,char * result, SecureSession *ctrl) or the binary equivalent of the export statement.

  1. Identifying subtypes among offenders with antisocial personality disorder: a cluster-analytic study.

    Science.gov (United States)

    Poythress, Norman G; Edens, John F; Skeem, Jennifer L; Lilienfeld, Scott O; Douglas, Kevin S; Frick, Paul J; Patrick, Christopher J; Epstein, Monica; Wang, Tao

    2010-05-01

    The question of whether antisocial personality disorder (ASPD) and psychopathy are largely similar or fundamentally different constructs remains unresolved. In the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994), many of the personality features of psychopathy are cast as associated features of ASPD, although the DSM-IV offers no guidance as to how, or the extent to which, these features relate to ASPD. In a sample of 691 offenders who met DSM-IV criteria for ASPD, we used model-based clustering to identify subgroups of individuals with relatively homogeneous profiles on measures of associated features (psychopathic personality traits) and other constructs with potential etiological significance for subtypes of ASPD. Two emergent groups displayed profiles that conformed broadly to theoretical descriptions of primary psychopathy and Karpman's (1941) variant of secondary psychopathy. As expected, a third group (nonpsychopathic ASPD) lacked substantial associated features. A fourth group exhibited elevated psychopathic features as well as a highly fearful temperament, a profile not clearly predicted by extant models. Planned comparisons revealed theoretically informative differences between primary and secondary groups in multiple domains, including self-report measures, passive avoidance learning, clinical ratings, and official records. Our results inform ongoing debates about the overlap between psychopathy and ASPD and raise questions about the wisdom of placing most individuals who habitually violate social norms and laws into a single diagnostic category.

  2. Functional validation of candidate genes detected by genomic feature models

    DEFF Research Database (Denmark)

    Rohde, Palle Duun; Østergaard, Solveig; Kristensen, Torsten Nygaard

    2018-01-01

    to investigate locomotor activity, and applied genomic feature prediction models to identify gene ontology (GO) cate- gories predictive of this phenotype. Next, we applied the covariance association test to partition the genomic variance of the predictive GO terms to the genes within these terms. We...... then functionally assessed whether the identified candidate genes affected locomotor activity by reducing gene expression using RNA interference. In five of the seven candidate genes tested, reduced gene expression altered the phenotype. The ranking of genes within the predictive GO term was highly correlated......Understanding the genetic underpinnings of complex traits requires knowledge of the genetic variants that contribute to phenotypic variability. Reliable statistical approaches are needed to obtain such knowledge. In genome-wide association studies, variants are tested for association with trait...

  3. FEATURES OF THE PUBLIC SPENDING BY FUNCTION IN CEE COUNTRIES -

    Directory of Open Access Journals (Sweden)

    RĂDULESCU MAGDALENA

    2015-10-01

    Full Text Available In this paper we analyzed the development of the public expenses by functions in the last decade in some selected Central and Eastern European (CEE countries: Hungary, Poland, Czech Republic, Bulgaria and Romania. Based on this statistical analysis we can emphasize the main features of the budgetary policy in these countries during the crisis. We can underline the best measures of the budgetary policy adopted in these countries to fight the crisis effects. These countries haven’t adopted euro yet. After adopting euro, these countries won’t have an autonomous monetary policy and should base solely on their fiscal and budgetary policy when they will have to face some economic external shocks, just like they did during the current crisis. The fiscal and budgetary policy is facing political pressures in all countries

  4. GeneViTo: Visualizing gene-product functional and structural features in genomic datasets

    Directory of Open Access Journals (Sweden)

    Promponas Vasilis J

    2003-10-01

    Full Text Available Abstract Background The availability of increasing amounts of sequence data from completely sequenced genomes boosts the development of new computational methods for automated genome annotation and comparative genomics. Therefore, there is a need for tools that facilitate the visualization of raw data and results produced by bioinformatics analysis, providing new means for interactive genome exploration. Visual inspection can be used as a basis to assess the quality of various analysis algorithms and to aid in-depth genomic studies. Results GeneViTo is a JAVA-based computer application that serves as a workbench for genome-wide analysis through visual interaction. The application deals with various experimental information concerning both DNA and protein sequences (derived from public sequence databases or proprietary data sources and meta-data obtained by various prediction algorithms, classification schemes or user-defined features. Interaction with a Graphical User Interface (GUI allows easy extraction of genomic and proteomic data referring to the sequence itself, sequence features, or general structural and functional features. Emphasis is laid on the potential comparison between annotation and prediction data in order to offer a supplement to the provided information, especially in cases of "poor" annotation, or an evaluation of available predictions. Moreover, desired information can be output in high quality JPEG image files for further elaboration and scientific use. A compilation of properly formatted GeneViTo input data for demonstration is available to interested readers for two completely sequenced prokaryotes, Chlamydia trachomatis and Methanococcus jannaschii. Conclusions GeneViTo offers an inspectional view of genomic functional elements, concerning data stemming both from database annotation and analysis tools for an overall analysis of existing genomes. The application is compatible with Linux or Windows ME-2000-XP operating

  5. Gender features of functional condition of backbone of teenagers with scoliotic posture

    Directory of Open Access Journals (Sweden)

    Sergiy Afanasiev

    2016-10-01

    Full Text Available Purpose: to study mobility of backbone, endurance of muscles of a trunk and to define gender features of functional condition of backbone at children of the middle school age with scoliotic posture depending on the direction of the top of arch of curvature of spine. Material & Methods: 40 girls and 40 boys, including 18 girls and 18 boys with the right-side deformation of backbone in the thoracic department, the left-side – 22 girls and 22 boys are examined. Results: features of changes of indicators, depending on sex of children and frontage of the top of arch of curvature of spine column, are revealed when studying the level of flexibility of backbone and endurance of muscles of a trunk at children of the middle school age with scoliotic posture. Conclusions: it is established that the level of decrease in flexibility of backbone is higher at boys, than at girls, whereas indicators of contractile ability and tone of muscles of "muscular corset" are higher at boys.

  6. Genetic and environmental overlap between borderline personality disorder traits and psychopathy: evidence for promotive effects of factor 2 and protective effects of factor 1.

    Science.gov (United States)

    Hunt, E; Bornovalova, M A; Patrick, C J

    2015-05-01

    Previous studies have reported strong genetic and environmental overlap between antisocial-externalizing (factor 2; F2) features of psychopathy and borderline personality disorder (BPD) tendencies. However, this line of research has yet to examine etiological associations of affective-interpersonal (factor 1, F1) features of psychopathy with BPD tendencies. The current study investigated differential phenotypic and genetic overlap of psychopathy factors 1 and 2 with BPD tendencies in a sample of over 250 male and female community-recruited adult twin pairs. Consistent with previous research, biometric analyses revealed strong genetic and non-shared environmental correlations of F2 with BPD tendencies, suggesting that common genetic and non-shared environmental factors contribute to both phenotypes. In contrast, negative genetic and non-shared environmental correlations were observed between F1 and BPD tendencies, indicating that the genetic factors underlying F1 serve as protective factors against BPD. No gender differences emerged in the analyses. These findings provide further insight into associations of psychopathic features - F1 as well as F2 - and BPD tendencies. Implications for treatment and intervention are discussed, along with how psychopathic traits may differentially influence the manifestation of BPD tendencies.

  7. Psychoemotional features of a doubtful disorder: functional dyspepsia.

    Science.gov (United States)

    Dragoş, D; Ionescu, O; Micuţ, R; Ojog, D G; Tănăsescu, M D

    2012-09-15

    To delineate the psychological profile of individuals prone to FD-like symptoms (FDLS). A triple questionnaire of 614 items (including psychological and medical ones) was given to 10192 respondents, the results were analyzed by means of Cronbach alpha, and Chi square test, together with an ad-hoc designed method that implied ranking and outliers detecting. FDLS appears to be an accompanying feature of many (if not most) human emotions and are more frequent in anxious, timid, pessimistic, discontent, irascible, tense, success-doubting, unexpected-dreading individuals, bothered by persistent thoughts and tormented by the professional requirements and the lack of time. A higher degree of specificity might have: chiefly fear of failure, susceptibility, and tension, secondarily emotivity, fear of unpredictable events, sense of insufficient time, preoccupation with authority factors, and tendency to endure unacceptable situations, and also faulty patience and lack of punctuality. Rumination appears to be the psychological tendency most strongly associated with FD. Nocturnal epigastric pain seems to indicate a submissive nature but a rather responsibilities-free childhood, while early satiety is associated with inclination to work and responsibility and preoccupation with self-image. The superposition of FD symptoms with biliary and esophageal symptoms cast a doubt over the distinctness and even the materiality of the various functional digestive disorders.

  8. Basic features of the pion valence-quark distribution function

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Lei [CSSM, School of Chemistry and Physics, University of Adelaide, Adelaide, SA 5005 (Australia); Mezrag, Cédric; Moutarde, Hervé [Centre de Saclay, IRFU/Service de Physique Nucléaire, F-91191 Gif-sur-Yvette (France); Roberts, Craig D. [Physics Division, Argonne National Laboratory, Argonne, IL 60439 (United States); Rodríguez-Quintero, Jose [Departamento de Física Aplicada, Facultad de Ciencias Experimentales, Universidad de Huelva, Huelva E-21071 (Spain); Tandy, Peter C. [Center for Nuclear Research, Department of Physics, Kent State University, Kent, OH 44242 (United States)

    2014-10-07

    The impulse-approximation expression used hitherto to define the pion's valence-quark distribution function is flawed because it omits contributions from the gluons which bind quarks into the pion. A corrected leading-order expression produces the model-independent result that quarks dressed via the rainbow–ladder truncation, or any practical analogue, carry all the pion's light-front momentum at a characteristic hadronic scale. Corrections to the leading contribution may be divided into two classes, responsible for shifting dressed-quark momentum into glue and sea-quarks. Working with available empirical information, we use an algebraic model to express the principal impact of both classes of corrections. This enables a realistic comparison with experiment that allows us to highlight the basic features of the pion's measurable valence-quark distribution, q{sup π}(x); namely, at a characteristic hadronic scale, q{sup π}(x)∼(1−x){sup 2} for x≳0.85; and the valence-quarks carry approximately two-thirds of the pion's light-front momentum.

  9. [The features of high and low-frequency function of horizontal, semicircular canal in Meniere's disease].

    Science.gov (United States)

    Chen, Ying; Zhao, Zhongxin; Zhuang, Jianhua; Xie, Xuewei; Jin, Zhe; Li, Fei

    2015-05-01

    To analyze the feature of horizontal semicircular canal function at high and low-frequencies in Meniere's disease. Thirty patients suffering from unilateral Meniere's disease were included in the research from 2013 June to 2014 June. Caloric test and video head impulse test were performed to evaluate the high low-frequency function of horizontal semicircular canal. these patients were devided by the severity of unilateral weakness in caloric test. The gain value in video head impulse test, which reflects the high-frequency function of semicircular canal, were not different between the normal and mild abnormal group (P > 0.05), but were obviously different between the normal and mild-severe abnormal group, slight abnormal and mild-severe abnormal group (P frequency function of both side, has no difference between three groups (P > 0.05). A part of Meniere's disease may have normal high, low-frequency function of horizontal semicircular canal. As patient suffering slight injury of low-frequency function, the high-frequency function keeps normal. As the injury of low-frequency function become mildly to severely, the damage of high-frequency function appears, but the symmetry still keeps balance.

  10. Binding of multiple features in memory by high-functioning adults with autism spectrum disorder

    OpenAIRE

    Bowler, D. M.; Gaigg, S. B.; Gardiner, J. M.

    2014-01-01

    Diminished episodic memory and diminished use of semantic information to aid recall by individuals with autism spectrum disorder (ASD) are both thought to result from diminished relational binding of elements of complex stimuli. To test this hypothesis, we asked high-functioning adults with ASD and typical comparison participants to study grids in which some cells contained drawings of objects in non-canonical colours. Participants were told at study which features (colour, item, location) wo...

  11. Analysis and prediction of translation rate based on sequence and functional features of the mRNA.

    Directory of Open Access Journals (Sweden)

    Tao Huang

    Full Text Available Protein concentrations depend not only on the mRNA level, but also on the translation rate and the degradation rate. Prediction of mRNA's translation rate would provide valuable information for in-depth understanding of the translation mechanism and dynamic proteome. In this study, we developed a new computational model to predict the translation rate, featured by (1 integrating various sequence-derived and functional features, (2 applying the maximum relevance & minimum redundancy method and incremental feature selection to select features to optimize the prediction model, and (3 being able to predict the translation rate of RNA into high or low translation rate category. The prediction accuracies under rich and starvation condition were 68.8% and 70.0%, respectively, evaluated by jackknife cross-validation. It was found that the following features were correlated with translation rate: codon usage frequency, some gene ontology enrichment scores, number of RNA binding proteins known to bind its mRNA product, coding sequence length, protein abundance and 5'UTR free energy. These findings might provide useful information for understanding the mechanisms of translation and dynamic proteome. Our translation rate prediction model might become a high throughput tool for annotating the translation rate of mRNAs in large-scale.

  12. Reduced embodied simulation in psychopathy.

    Science.gov (United States)

    Mier, Daniela; Haddad, Leila; Diers, Kersten; Dressing, Harald; Meyer-Lindenberg, Andreas; Kirsch, Peter

    2014-08-01

    Psychopathy is characterized by severe deficits in emotion processing and empathy. These emotional deficits might not only affect the feeling of own emotions, but also the understanding of others' emotional and mental states. The present study aims on identifying the neurobiological correlates of social-cognitive related alterations in psychopathy. We applied a social-cognitive paradigm for the investigation of face processing, emotion recognition, and affective Theory of Mind (ToM) to 11 imprisoned psychopaths and 18 healthy controls. Functional magnetic resonance imaging was used to measure task-related brain activation. While showing no overall behavioural deficit, psychopathy was associated with altered brain activation. Psychopaths had reduced fusiform activation related to face processing. Related to affective ToM, psychopaths had hypoactivation in amygdala, inferior prefrontal gyrus and superior temporal sulcus, areas associated with embodied simulation of emotions and intentions. Furthermore, psychopaths lacked connectivity between superior temporal sulcus and amygdala during affective ToM. These results replicate findings of alterations in basal face processing in psychopathy. In addition, they provide evidence for reduced embodied simulation in psychopathy in concert with a lack of communication between motor areas and amygdala which might provide the neural substrate of reduced feeling with others during social cognition.

  13. A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance

    Directory of Open Access Journals (Sweden)

    Xiuzhen Guo

    2015-06-01

    Full Text Available In this paper, a novel feature extraction approach which can be referred to as moving window function capturing (MWFC has been proposed to analyze signals of an electronic nose (E-nose used for detecting types of infectious pathogens in rat wounds. Meanwhile, a quantum-behaved particle swarm optimization (QPSO algorithm is implemented in conjunction with support vector machine (SVM for realizing a synchronization optimization of the sensor array and SVM model parameters. The results prove the efficacy of the proposed method for E-nose feature extraction, which can lead to a higher classification accuracy rate compared to other established techniques. Meanwhile it is interesting to note that different classification results can be obtained by changing the types, widths or positions of windows. By selecting the optimum window function for the sensor response, the performance of an E-nose can be enhanced.

  14. A Rorschach investigation of incarcerated female offenders with antisocial personality disorder.

    Science.gov (United States)

    Cunliffe, Ted; Gacono, Carl B

    2005-10-01

    Although male psychopathy has been linked to histrionic, narcissistic, and antisocial personality disorders (ASPD), less is known about female psychopathy. The Psychopathy Checklist-Revised (PCL-R) and the Rorschach were used to explore the personality functioning of 45 incarcerated female offenders with ASPD delineated by their psychopathy level. Psychopaths (PCL-R > or = 30) and nonpsychopaths (PCL-R < 24) were compared on Rorschach measures of self-perception, interpersonal relatedness, and reality testing. Compared to female offenders with ASPD who were nonpsychopathic, female offenders with ASPD who were psychopathic exhibited marked disturbances in self-perception, interpersonal relatedness, and reality testing. Our findings highlight the heterogeneity of the ASPD diagnosis in women, support the utility of the psychopathy construct with female offenders, and implicate important differences between men and women with ASPD. These gender differences have relevance to the evaluation (PCL-R scoring) and treatment of female offenders. Our findings are discussed within the context of the female psychopath's hypothesized hysterical character style.

  15. Decoding the different states of visual attention using functional and effective connectivity features in fMRI data.

    Science.gov (United States)

    Parhizi, Behdad; Daliri, Mohammad Reza; Behroozi, Mehdi

    2018-04-01

    The present paper concentrates on the impact of visual attention task on structure of the brain functional and effective connectivity networks using coherence and Granger causality methods. Since most studies used correlation method and resting-state functional connectivity, the task-based approach was selected for this experiment to boost our knowledge of spatial and feature-based attention. In the present study, the whole brain was divided into 82 sub-regions based on Brodmann areas. The coherence and Granger causality were applied to construct functional and effective connectivity matrices. These matrices were converted into graphs using a threshold, and the graph theory measures were calculated from it including degree and characteristic path length. Visual attention was found to reveal more information during the spatial-based task. The degree was higher while performing a spatial-based task, whereas characteristic path length was lower in the spatial-based task in both functional and effective connectivity. Primary and secondary visual cortex (17 and 18 Brodmann areas) were highly connected to parietal and prefrontal cortex while doing visual attention task. Whole brain connectivity was also calculated in both functional and effective connectivity. Our results reveal that Brodmann areas of 17, 18, 19, 46, 3 and 4 had a significant role proving that somatosensory, parietal and prefrontal regions along with visual cortex were highly connected to other parts of the cortex during the visual attention task. Characteristic path length results indicated an increase in functional connectivity and more functional integration in spatial-based attention compared with feature-based attention. The results of this work can provide useful information about the mechanism of visual attention at the network level.

  16. Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

    Directory of Open Access Journals (Sweden)

    Lijun Wang

    2013-01-01

    Full Text Available Brain decoding with functional magnetic resonance imaging (fMRI requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification methods. Feature selection is a critical procedure of MVPA because it decides which features will be included in the classification analysis of fMRI data, thereby improving the performance of the classifier. Features can be selected by limiting the analysis to specific anatomical regions or by computing univariate (voxel-wise or multivariate statistics. However, these methods either discard some informative features or select features with redundant information. This paper introduces the principal feature analysis as a novel multivariate feature selection method for fMRI data processing. This multivariate approach aims to remove features with redundant information, thereby selecting fewer features, while retaining the most information.

  17. Methamphetamine functions as a positive and negative drug feature in a Pavlovian appetitive discrimination task.

    Science.gov (United States)

    Reichel, Carmela M; Wilkinson, Jamie L; Bevins, Rick A

    2007-12-01

    This research determined the ability of methamphetamine to serve as a positive or negative feature, and assessed the ability of bupropion, cocaine, and naloxone to substitute for the methamphetamine features. Rats received methamphetamine (0.5 mg/kg, intraperitoneally) or saline 15 min before a conditioning session. For the feature positive (FP) group, offset of 15-s cue lights was followed by access to sucrose on methamphetamine sessions; sucrose was withheld during saline sessions. For the feature negative (FN) group, the light offset was followed by sucrose on saline sessions; sucrose was withheld during methamphetamine sessions. During acquisition, the FP group had higher responding on methamphetamine sessions than on saline sessions. For the FN group, responding was higher on saline sessions than on methamphetamine sessions. Conditioned responding was sensitive to methamphetamine dose. For the FP group, bupropion and cocaine fully and partially substituted for methamphetamine, respectively. In contrast, both drugs fully substituted for methamphetamine in the FN group. Naloxone did not substitute in either set of rats. FP-trained rats were more sensitive to the locomotor stimulating effects of the test drugs than FN-trained rats. This research demonstrates that the pharmacological effects of methamphetamine function as a FP or FN in this Pavlovian discrimination task and that training history can affect conditioned responding and locomotor effects evoked by a drug.

  18. Reduced cortical call to arms differentiates psychopathy from antisocial personality disorder.

    Science.gov (United States)

    Drislane, L E; Vaidyanathan, U; Patrick, C J

    2013-04-01

    Psychopathy and antisocial personality disorder (ASPD) are both characterized by impulsive, externalizing behaviors. Researchers have argued, however, that psychopathy is distinguished from ASPD by the presence of interpersonal-affective features that reflect an underlying deficit in emotional sensitivity. No study to date has tested for differential relations of these disorders with the brain's natural orienting response to sudden aversive events. Method Electroencephalography was used to assess cortical reactivity to abrupt noise probes presented during the viewing of pleasant, neutral and unpleasant pictures in 140 incarcerated males diagnosed using the Psychopathy Checklist - Revised and DSM-IV criteria for ASPD. The primary dependent measure was the P3 event-related potential response to the noise probes. Psychopaths showed significantly smaller amplitude of P3 response to noise probes across trials of all types compared with non-psychopaths. Follow-up analyses revealed that this overall reduction was attributable specifically to the affective-interpersonal features of psychopathy. By contrast, no group difference in general amplitude of probe P3 was evident for ASPD versus non-ASPD participants. The findings demonstrate a reduced cortical orienting response to abrupt aversive stimuli in participants exhibiting features of psychopathy that are distinct from ASPD. The specificity of the observed effect fits with the idea that these distinctive features of psychopathy reflect a deficit in defensive reactivity, or mobilization of the brain's defensive system, in the context of threat cues.

  19. Self-reports of faulty parental attachments in childhood and criminal psychopathy in an adult-incarcerated population: an integrative literature review.

    Science.gov (United States)

    Bailey, C; Shelton, D

    2014-05-01

    This study examined self-reports of psychopathic offenders' childhood interactions with their parents to better understand what variables influence adult criminal psychopathy. The findings showed that childhood separations, physical abuse and indifferent parenting styles were more prominent in self-reports of incarcerated male psychopaths than with incarcerated males who were not psychopathic. To better understand the worldview of the criminal psychopath, and the trajectory of psychopathy, there is a need for more studies that examine childhood interactions with parental figures as reported by the adult criminal psychopath. Despite the high percentage of incarcerated psychopaths, few studies attempt to assess the past parent-child bonds of these individuals by asking them to report childhood attachments with their parents. Currently, there is limited data regarding common variables that contribute to a break in parent-child attachment and later adult criminal psychopathy. The data that presently exist concentrate on juvenile or community samples and do not explore the attachment variables that continue into adult criminal psychopathy. This paper presents the current literature regarding self-reports of childhood attachment to parents as indicated by male-incarcerated adult psychopaths compared with self-reports of childhood attachment to parents as indicated by male-incarcerated adult non-psychopaths. Variables that influence a break in attachment between the offenders and their parents and suggestions for future clinical research are provided. © 2013 John Wiley & Sons Ltd.

  20. Forensic and non-forensic psychiatric nursing skills and competencies for psychopathic and personality disordered patients.

    Science.gov (United States)

    Bowen, Matt; Mason, Tom

    2012-12-01

    To understand better the skills and competencies for forensic and non-forensic nursing of psychopathic and personality disordered patients. In the UK, there has been growing interest in service provision for this client group, but with little research to support the nursing skills required. A non-experimental design, using a postal survey to 990 forensic and 500 non-forensic nurses. An information gathering schedule was used to generate data about the most desirable skills and competencies and least desirable weaknesses and nursing attributes to nurse this group. The results for the forensic nurses. Main strengths and skills: being firm, setting limits and defining boundaries. Main weaknesses: inability to engage, inability to resolve conflict and impatience. Main skills and competencies: being non-threatening, non-judgemental and able to expect anything. Least desirable qualities: over-reacting, being judgemental and over-confrontational. The results for the non-forensic nurses. Main strengths and skills: being non-judgemental, listening skills and good risk assessment. Main weaknesses: frustration with the system, a fear of aggression and no skills to engage. Main skills and competencies: being open-minded, non-judgemental and forming relationships. Least desirable qualities: a supercilious attitude, cynicism and being judgemental. The results highlight the importance of forming therapeutic relationships as the bedrock of both forensic and non-forensic nursing, and they also highlight the important differences with regard to the significance of therapeutic action and therapeutic verbal interaction. The provision of better care for this client group will rely on appropriate training for nurses. This research highlights the need for training that supports the development of engagement skills, communication skills and an ability to use reflection in action as a means of providing therapeutic care. It also highlights the different emphasis on the use of these skills

  1. The relation between the bifactor model of the Youth Psychopathic Traits Inventory and conduct problems in adolescence: Variations across gender, ethnic background, and age.

    Science.gov (United States)

    Zwaanswijk, Wendy; Veen, Violaine C; van Geel, Mitch; Andershed, Henrik; Vedder, Paul

    2017-08-01

    The current study examines how the bifactor model of the Youth Psychopathic Traits Inventory (YPI) is related to conduct problems in a sample of Dutch adolescents (N = 2,874; 43% female). It addresses to what extent the YPI dimensions explain variance over and above a General Psychopathy factor (i.e., one factor related to all items) and how the general factor and dimensional factors are related to conduct problems. Group differences in these relations for gender, ethnic background, and age were examined. Results showed that the general factor is most important, but dimensions explain variance over and above the general factor. The general factor, and Affective and Lifestyle dimensions, of the YPI were positively related to conduct problems, whereas the Interpersonal dimension was not, after taking the general factor into account. However, across gender, ethnic background, and age, different dimensions were related to conduct problems over and above the general factor. This suggests that all 3 dimensions should be assessed when examining the psychopathy construct. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  2. Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention.

    Science.gov (United States)

    Li, Yuanqing; Long, Jinyi; Huang, Biao; Yu, Tianyou; Wu, Wei; Li, Peijun; Fang, Fang; Sun, Pei

    2016-01-13

    An audiovisual object may contain multiple semantic features, such as the gender and emotional features of the speaker. Feature-selective attention and audiovisual semantic integration are two brain functions involved in the recognition of audiovisual objects. Humans often selectively attend to one or several features while ignoring the other features of an audiovisual object. Meanwhile, the human brain integrates semantic information from the visual and auditory modalities. However, how these two brain functions correlate with each other remains to be elucidated. In this functional magnetic resonance imaging (fMRI) study, we explored the neural mechanism by which feature-selective attention modulates audiovisual semantic integration. During the fMRI experiment, the subjects were presented with visual-only, auditory-only, or audiovisual dynamical facial stimuli and performed several feature-selective attention tasks. Our results revealed that a distribution of areas, including heteromodal areas and brain areas encoding attended features, may be involved in audiovisual semantic integration. Through feature-selective attention, the human brain may selectively integrate audiovisual semantic information from attended features by enhancing functional connectivity and thus regulating information flows from heteromodal areas to brain areas encoding the attended features.

  3. [From conduct disorder in childhood to psychopathy in adult life].

    Science.gov (United States)

    Tsopelas, Ch; Armenaka, M

    2012-06-01

    Mental health professionals seldom recognize psychopathy in their daily practice. Usually forensic psychiatrists and psychologists are involved because individuals with psychopathic personality are involved in serious criminal behavior and implicated with the law. Most of the times the profiles of children who evolve in adult psychopaths have components from other disorders, especially conduct disorder. The term psychopathy originates from the Greek words "psyche" (soul) and "pathos" (passion) and was used to identify initially every mental illness. Although in the bibliography the terms Antisocial Personality Disorder, Psychopathic Personality, Psychopathy and Sociopathy are used as synonyms, it has not been clarified if the Antisocial Personality Disorder and Psychopathic Personality constitute two different entities or if the latter constitutes the more serious and hard core subtype of the first. The prevalence of Psychopathic Personality in the general population is estimated as 1%, with the proportion of men: women to be 3:1. The adult male psychopaths are responsible for almost 50% of the serious criminal behavior. Diagnosis of Psychopathic Personality is completed with the use of specific psychometric tools: Psychopathy Checklist-Revised (PCL-R) and Psychopathy Checklist: Screening Version (PCL: SV). The most recognizable elements of psychopathy are the non-existence of conscience and their shallow emotional relations. They are individuals with persuasion, that use the suitable phraseology in order to approach, impress and charm their prey. Nuclear characteristic is the inability to feel guilt, remorse and the nonexistence of moral rules. They lose their temper easily and present aggressiveness without obvious or insignificant reason. They develop various antisocial behaviors that are repeated with success, the gravity of violent behavior tends to increase and they have problems with the law. Nevertheless, people with Psychopathic Personality at one point

  4. Functional neuroimaging and presenting psychiatric features in frontotemporal dementia

    Science.gov (United States)

    Mendez, M F; McMurtray, A; Chen, A K; Shapira, J S; Mishkin, F; Miller, B L

    2006-01-01

    Background Frontotemporal dementia (FTD) is a behavioural syndrome caused by degeneration of the frontal and anterior temporal lobes. Behavioural disturbances include psychiatric features. Whether patients with FTD present with psychiatric features varies with the initial neuroanatomical variability of FTD. Objective To identify presenting psychiatric changes not part of diagnostic criteria of FTD and contrast them with the degree of hemispheric asymmetry and frontal and temporal hypoperfusion on single photon emission computed tomography (SPECT) imaging. Methods 74 patients who met consensus criteria for FTD were evaluated at a two year follow up. All had brain SPECT on initial presentation. Results of an FTD psychiatric checklist were contrasted with ratings of regional hypoperfusion. Results The regions of predominant hypoperfusion did not correlate with differences on FTD demographic variables but were associated with presenting psychiatric features. Dysthymia and anxiety were associated with right temporal hypoperfusion. “Moria” or frivolous behaviour also occurred with temporal lobe changes, especially on the right. The only significant frontal lobe feature was the presence of a peculiar physical bearing in association with right frontal hypoperfusion. Conclusions Patients with FTD may present with psychiatric changes distinct from the behavioural diagnostic criteria for this disorder. Early temporal involvement is associated with frivolous behaviour and right temporal involvement is associated with emotional disturbances. In contrast, those with right frontal disease may present with alterations in non‐verbal behaviour. PMID:16043457

  5. Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency.

    Science.gov (United States)

    Chen, Yuhan; Wang, Shengjun; Hilgetag, Claus C; Zhou, Changsong

    2017-09-01

    The primate connectome, possessing a characteristic global topology and specific regional connectivity profiles, is well organized to support both segregated and integrated brain function. However, the organization mechanisms shaping the characteristic connectivity and its relationship to functional requirements remain unclear. The primate brain connectome is shaped by metabolic economy as well as functional values. Here, we explored the influence of two competing factors and additional advanced functional requirements on the primate connectome employing an optimal trade-off model between neural wiring cost and the representative functional requirement of processing efficiency. Moreover, we compared this model with a generative model combining spatial distance and topological similarity, with the objective of statistically reproducing multiple topological features of the network. The primate connectome indeed displays a cost-efficiency trade-off and that up to 67% of the connections were recovered by optimal combination of the two basic factors of wiring economy and processing efficiency, clearly higher than the proportion of connections (56%) explained by the generative model. While not explicitly aimed for, the trade-off model captured several key topological features of the real connectome as the generative model, yet better explained the connectivity of most regions. The majority of the remaining 33% of connections unexplained by the best trade-off model were long-distance links, which are concentrated on few cortical areas, termed long-distance connectors (LDCs). The LDCs are mainly non-hubs, but form a densely connected group overlapping on spatially segregated functional modalities. LDCs are crucial for both functional segregation and integration across different scales. These organization features revealed by the optimization analysis provide evidence that the demands of advanced functional segregation and integration among spatially distributed regions may

  6. Insecure Attachment, Maladaptive Personality Traits, and the Perpetration of In-Person and Cyber Psychological Abuse.

    Science.gov (United States)

    Bui, Nghi H; Pasalich, Dave S

    2018-02-01

    Although past findings show that insecure attachment and maladaptive personality traits confer risk for perpetrating intimate partner violence (IPV), little is known about how these factors may underpin psychological abuse (PA) committed in-person and via technology. This study examined whether borderline personality disorder (BPD) traits and psychopathic traits account for indirect effects of insecure attachment on the perpetration of face-to-face and cyber PA. Participants included a community-based sample ( N = 200; M age = 22.28 years) in Australia who completed a battery of online questionnaires. Results from bivariate correlations showed that elevated levels of attachment anxiety and avoidance, and higher scores on BPD traits and psychopathic traits, were significantly associated with the perpetration of both face-to-face and cyber PA. Findings from mediation analysis indicated that attachment anxiety was indirectly linked with the perpetration of both forms of PA via elevated scores on BPD traits and psychopathic traits. High levels of psychopathic traits accounted for the indirect effects of attachment avoidance on both forms of PA. Results support the theory that insecure attachment and maladaptive personality functioning might be involved in the development and/or maintenance of the perpetration of PA. These findings have implications for preventive and treatment programs for the perpetration of IPV in terms of shedding new light on potential risk factors for engagement in face-to-face and technology-based PA.

  7. The feature-weighted receptive field: an interpretable encoding model for complex feature spaces.

    Science.gov (United States)

    St-Yves, Ghislain; Naselaris, Thomas

    2017-06-20

    We introduce the feature-weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRF is organized around the notion of a feature map-a transformation of visual stimuli into visual features that preserves the topology of visual space (but not necessarily the native resolution of the stimulus). The key assumption of the fwRF model is that activity in each voxel encodes variation in a spatially localized region across multiple feature maps. This region is fixed for all feature maps; however, the contribution of each feature map to voxel activity is weighted. Thus, the model has two separable sets of parameters: "where" parameters that characterize the location and extent of pooling over visual features, and "what" parameters that characterize tuning to visual features. The "where" parameters are analogous to classical receptive fields, while "what" parameters are analogous to classical tuning functions. By treating these as separable parameters, the fwRF model complexity is independent of the resolution of the underlying feature maps. This makes it possible to estimate models with thousands of high-resolution feature maps from relatively small amounts of data. Once a fwRF model has been estimated from data, spatial pooling and feature tuning can be read-off directly with no (or very little) additional post-processing or in-silico experimentation. We describe an optimization algorithm for estimating fwRF models from data acquired during standard visual neuroimaging experiments. We then demonstrate the model's application to two distinct sets of features: Gabor wavelets and features supplied by a deep convolutional neural network. We show that when Gabor feature maps are used, the fwRF model recovers receptive fields and spatial frequency tuning functions consistent with known organizational principles of the visual cortex. We also show that a fwRF model can be used to regress entire deep

  8. Neural mechanisms underlying cognitive control of men with lifelong antisocial behavior.

    Science.gov (United States)

    Schiffer, Boris; Pawliczek, Christina; Mu Ller, Bernhard; Forsting, Michael; Gizewski, Elke; Leygraf, Norbert; Hodgins, Sheilagh

    2014-04-30

    Results of meta-analyses suggested subtle deficits in cognitive control among antisocial individuals. Because almost all studies focused on children with conduct problems or adult psychopaths, however, little is known about cognitive control mechanisms among the majority of persistent violent offenders who present an antisocial personality disorder (ASPD). The present study aimed to determine whether offenders with ASPD, relative to non-offenders, display dysfunction in the neural mechanisms underlying cognitive control and to assess the extent to which these dysfunctions are associated with psychopathic traits and trait impulsivity. Participants comprised 21 violent offenders and 23 non-offenders who underwent event-related functional magnetic resonance imaging while performing a non-verbal Stroop task. The offenders, relative to the non-offenders, exhibited reduced response time interference and a different pattern of conflict- and error-related activity in brain areas involved in cognitive control, attention, language, and emotion processing, that is, the anterior cingulate, dorsolateral prefrontal, superior temporal and postcentral cortices, putamen, thalamus, and amygdala. Moreover, between-group differences in behavioural and neural responses revealed associations with core features of psychopathy and attentional impulsivity. Thus, the results of the present study confirmed the hypothesis that offenders with ASPD display alterations in the neural mechanisms underlying cognitive control and that those alterations relate, at least in part, to personality characteristics. Copyright © 2014. Published by Elsevier Ireland Ltd.

  9. Neural foundations to moral reasoning and antisocial behavior

    Science.gov (United States)

    Yang, Yaling

    2006-01-01

    A common feature of the antisocial, rule-breaking behavior that is central to criminal, violent and psychopathic individuals is the failure to follow moral guidelines. This review summarizes key findings from brain imaging research on both antisocial behavior and moral reasoning, and integrates these findings into a neural moral model of antisocial behavior. Key areas found to be functionally or structurally impaired in antisocial populations include dorsal and ventral regions of the prefrontal cortex (PFC), amygdala, hippocampus, angular gyrus, anterior cingulate and temporal cortex. Regions most commonly activated in moral judgment tasks consist of the polar/medial and ventral PFC, amygdala, angular gyrus and posterior cingulate. It is hypothesized that the rule-breaking behavior common to antisocial, violent and psychopathic individuals is in part due to impairments in some of the structures (dorsal and ventral PFC, amygdala and angular gyrus) subserving moral cognition and emotion. Impairments to the emotional component that comprises the feeling of what is moral is viewed as the primary deficit in antisocials, although some disruption to the cognitive and cognitive-emotional components of morality (particularly self-referential thinking and emotion regulation) cannot be ruled out. While this neurobiological predisposition is likely only one of several biosocial processes involved in the etiology of antisocial behavior, it raises significant moral issues for the legal system and neuroethics. PMID:18985107

  10. [Emotional processing in patients with a dissocial personality disorder subtype "psychopathy" according to PCL-R].

    Science.gov (United States)

    Weber, Tatjana; Sommer, Monika; Hajak, Göran; Müller, Jürgen

    2004-11-01

    Functional MRI was used to test the effects of the deficient emotional responsiveness of psychopathic patients on cognitive processes. We used a Simon-paradigm, in which ten healthy volunteers and ten patients with a diagnosis of "psychopathy" (defined by Hare Psychopathy Checklist Revised) have to select their spatially defined responses on the basis of a nonspatial stimuli feature. For the emotion induction pictures from the International Affective Picture System (IAPS) were selected. At the beginning and intermediated by the Simon-paradigm blocks of positive, negative or neutral pictures were presented. Patients with "psychopathy" exhibited untypical activation patterns in amygdala and prefrontal regions during interferences between negative or positive stimulations and cognitive tasks. These results demonstrated disturbed regulation of emotion-cognition-interaction in "psychopathy" according to PCL-R.

  11. Cascade detection for the extraction of localized sequence features; specificity results for HIV-1 protease and structure-function results for the Schellman loop.

    Science.gov (United States)

    Newell, Nicholas E

    2011-12-15

    The extraction of the set of features most relevant to function from classified biological sequence sets is still a challenging problem. A central issue is the determination of expected counts for higher order features so that artifact features may be screened. Cascade detection (CD), a new algorithm for the extraction of localized features from sequence sets, is introduced. CD is a natural extension of the proportional modeling techniques used in contingency table analysis into the domain of feature detection. The algorithm is successfully tested on synthetic data and then applied to feature detection problems from two different domains to demonstrate its broad utility. An analysis of HIV-1 protease specificity reveals patterns of strong first-order features that group hydrophobic residues by side chain geometry and exhibit substantial symmetry about the cleavage site. Higher order results suggest that favorable cooperativity is weak by comparison and broadly distributed, but indicate possible synergies between negative charge and hydrophobicity in the substrate. Structure-function results for the Schellman loop, a helix-capping motif in proteins, contain strong first-order features and also show statistically significant cooperativities that provide new insights into the design of the motif. These include a new 'hydrophobic staple' and multiple amphipathic and electrostatic pair features. CD should prove useful not only for sequence analysis, but also for the detection of multifactor synergies in cross-classified data from clinical studies or other sources. Windows XP/7 application and data files available at: https://sites.google.com/site/cascadedetect/home. nacnewell@comcast.net Supplementary information is available at Bioinformatics online.

  12. The effects of temperament, psychopathy, and childhood trauma among delinquent youth: A test of DeLisi and Vaughn's temperament-based theory of crime.

    Science.gov (United States)

    DeLisi, Matt; Fox, Bryanna H; Fully, Matthew; Vaughn, Michael G

    Recent interest among criminologists on the construct of temperament has been fueled by DeLisi and Vaughn's (2014) temperament-based theory of antisocial behavior. Their theory suggests that core self-regulation capacity and negative emotionality are the most salient temperament features for understanding the emergence and maintenance of antisocial and violent behavior, even among offending populations. The present study tests the relative effects of these temperamental features along with psychopathic traits and trauma in their association with violent and non-violent delinquency in a sample of 252 juvenile offenders. Results from a series of negative binomial regression models indicate that temperament was uniformly more strongly associated with violent and non-violent delinquency than psychopathic traits and childhood traumatic events. Exploratory classification models suggested that temperament and psychopathy possessed similar predictive capacity, but neither surpassed prior history of violence and delinquency as a predictor of future offending. Overall, findings are supportive of DeLisi and Vaughn's temperament-based theory and suggest temperament as conceptualized and measured in the present study may play an important role as a risk factor for violent and non-violent delinquency. Copyright © 2018 Elsevier Ltd. All rights reserved.

  13. Unravelling the Functional Biomechanics of Dental Features and Tooth Wear

    Science.gov (United States)

    Benazzi, Stefano; Nguyen, Huynh Nhu; Kullmer, Ottmar; Hublin, Jean-Jacques

    2013-01-01

    Most of the morphological features recognized in hominin teeth, particularly the topography of the occlusal surface, are generally interpreted as an evolutionary functional adaptation for mechanical food processing. In this respect, we can also expect that the general architecture of a tooth reflects a response to withstand the high stresses produced during masticatory loadings. Here we use an engineering approach, finite element analysis (FEA), with an advanced loading concept derived from individual occlusal wear information to evaluate whether some dental traits usually found in hominin and extant great ape molars, such as the trigonid crest, the entoconid-hypoconulid crest and the protostylid have important biomechanical implications. For this purpose, FEA was applied to 3D digital models of three Gorilla gorilla lower second molars (M2) differing in wear stages. Our results show that in unworn and slightly worn M2s tensile stresses concentrate in the grooves of the occlusal surface. In such condition, the trigonid and the entoconid-hypoconulid crests act to reinforce the crown locally against stresses produced along the mesiodistal groove. Similarly, the protostylid is shaped like a buttress to suffer the high tensile stresses concentrated in the deep buccal groove. These dental traits are less functional in the worn M2, because tensile stresses decrease physiologically in the crown with progressing wear due to the enlargement of antagonistic contact areas and changes in loading direction from oblique to nearly parallel direction to the dental axis. This suggests that the wear process might have a crucial influence in the evolution and structural adaptation of molars enabling to endure bite stresses and reduce tooth failure throughout the lifetime of an individual. PMID:23894570

  14. Present SLAC accelerator computer control system features

    International Nuclear Information System (INIS)

    Davidson, V.; Johnson, R.

    1981-02-01

    The current functional organization and state of software development of the computer control system of the Stanford Linear Accelerator is described. Included is a discussion of the distribution of functions throughout the system, the local controller features, and currently implemented features of the touch panel portion of the system. The functional use of our triplex of PDP11-34 computers sharing common memory is described. Also included is a description of the use of pseudopanel tables as data tables for closed loop control functions

  15. Feature Extraction Using Fractal Codes

    NARCIS (Netherlands)

    B.A.M. Schouten (Ben); P.M. de Zeeuw (Paul)

    1999-01-01

    htmlabstractFast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can

  16. The influence of personality disorder features on social functioning in substance abusing women five year after compulsive residential treatment

    DEFF Research Database (Denmark)

    Jansson, Irene; Hesse, Morten; Fridell, Mats

    2009-01-01

    status over the years, and linked with hospital and criminal justice registers. Results The impact of PD on functioning varied substantially between disorders and outcome domains. Conduct disorder alone was associated with criminal justice involvement, and conduct disorder and avoidant PD features were...

  17. Features generated for computational splice-site prediction correspond to functional elements

    Directory of Open Access Journals (Sweden)

    Wilbur W John

    2007-10-01

    Full Text Available Abstract Background Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA that is capable of achieving high classification accuracy on human 3' splice sites. In this paper, we extend the splice-site prediction to 5' splice sites and explore the generated features for biologically meaningful splicing signals. Results We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract and auxiliary signals (including GGG triplets and exon splicing enhancers. We present evidence that features identified by FGA include splicing signals not found by other methods. Conclusion Our generated features capture known biological signals in the expected sequence interval flanking splice sites. The method can be easily applied to other species and to similar classification problems, such as tissue-specific regulatory elements, polyadenylation sites, promoters, etc.

  18. Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency.

    Directory of Open Access Journals (Sweden)

    Yuhan Chen

    2017-09-01

    Full Text Available The primate connectome, possessing a characteristic global topology and specific regional connectivity profiles, is well organized to support both segregated and integrated brain function. However, the organization mechanisms shaping the characteristic connectivity and its relationship to functional requirements remain unclear. The primate brain connectome is shaped by metabolic economy as well as functional values. Here, we explored the influence of two competing factors and additional advanced functional requirements on the primate connectome employing an optimal trade-off model between neural wiring cost and the representative functional requirement of processing efficiency. Moreover, we compared this model with a generative model combining spatial distance and topological similarity, with the objective of statistically reproducing multiple topological features of the network. The primate connectome indeed displays a cost-efficiency trade-off and that up to 67% of the connections were recovered by optimal combination of the two basic factors of wiring economy and processing efficiency, clearly higher than the proportion of connections (56% explained by the generative model. While not explicitly aimed for, the trade-off model captured several key topological features of the real connectome as the generative model, yet better explained the connectivity of most regions. The majority of the remaining 33% of connections unexplained by the best trade-off model were long-distance links, which are concentrated on few cortical areas, termed long-distance connectors (LDCs. The LDCs are mainly non-hubs, but form a densely connected group overlapping on spatially segregated functional modalities. LDCs are crucial for both functional segregation and integration across different scales. These organization features revealed by the optimization analysis provide evidence that the demands of advanced functional segregation and integration among spatially

  19. Feature extraction using fractal codes

    NARCIS (Netherlands)

    B.A.M. Ben Schouten; Paul M. de Zeeuw

    1999-01-01

    Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can be seen as a

  20. Inkjet Printing of Functional and Structural Materials: Fluid Property Requirements, Feature Stability, and Resolution

    Science.gov (United States)

    Derby, Brian

    2010-08-01

    Inkjet printing is viewed as a versatile manufacturing tool for applications in materials fabrication in addition to its traditional role in graphics output and marking. The unifying feature in all these applications is the dispensing and precise positioning of very small volumes of fluid (1-100 picoliters) on a substrate before transformation to a solid. The application of inkjet printing to the fabrication of structures for structural or functional materials applications requires an understanding as to how the physical processes that operate during inkjet printing interact with the properties of the fluid precursors used. Here we review the current state of understanding of the mechanisms of drop formation and how this defines the fluid properties that are required for a given liquid to be printable. The interactions between individual drops and the substrate as well as between adjacent drops are important in defining the resolution and accuracy of printed objects. Pattern resolution is limited by the extent to which a liquid drop spreads on a substrate and how spreading changes with the overlap of adjacent drops to form continuous features. There are clearly defined upper and lower bounds to the width of a printed continuous line, which can be defined in terms of materials and process variables. Finer-resolution features can be achieved through appropriate patterning and structuring of the substrate prior to printing, which is essential if polymeric semiconducting devices are to be fabricated. Low advancing and receding contact angles promote printed line stability but are also more prone to solute segregation or “coffee staining” on drying.

  1. Addiction disorders, psychopathy and crime in the light of empirical studies results

    Directory of Open Access Journals (Sweden)

    Radulović Danka

    2013-01-01

    Full Text Available The paper is based on the available empirical researches and examines the scientific basis of widely accepted thesis about the connection of substance addiction, psychopathy and crime. The analysis of research results indicated that correlation between the observed phenomena exists not only at a symptomatic level, but also at the level of etiology. It was established that the same risk factors underly alcoholism, drug addiction, psychopathy and criminal behavior. It was also found that the presence of conduct disorders at an early age (before the age of 15 indicates that psychopathic disorder is primary and that in this case, psychopathy is a reliable predictor of addiction and penal treatment failure, and also that it contributes substantially to addictive and criminal recidivism. Highly aggressive and poorly controlled psychopaths under the desinhibited influence of substances become even more violent and dangerous and most of them have a polysubstance disorder. Therefore, for the prevention of all three maladaptive forms, particularly important is the category of minors with early disruptive behavior, characterized by lower verbal ability, increased impulsivity and high aggressiveness as a main feature of psychopathy. Judging by research findings, the absence of conduct disorders in juvenile period could be considered as an indicator that psychopathic and criminal behavior occur as a secondary effect of substance abuse, with better chances for rehabilitation.

  2. Improved features of MARS 1.4 and verification

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Won Jae; Chung, Bub Don; Jeong, Jae Jun; Ha, Kwi Seok [Korea Atomic Energy Research Institute, Taejon (Korea)

    1999-09-01

    MARS 1.4 code has been developed as a basic code frame for multi-dimensional thermal-hydraulic analysis of light water reactor transients. This report describes the newly improved features of MARS 1.4 and their verification results. The new features of MARS 1.4 include the implementation of point kinetics model in the 3D module, the coupled heat structure model, the extension of control functions and input check functions in the 3D module, the implementation of new features of RELAP5/MOD3.2.2 -version, the addition of automatic initialization function for fuel 3-D analysis and the unification of material properties and forcing functions, etc. These features have been implemented in the code in order to extend the code modeling capability and to enhance the user friendliness. Among these features, this report describes the implementation of new features of RELAP5/MOD3.3.3-version such as reflood model and critical heat flux models, etc., the automatic initialization function, the unification of material properties and forcing functions and the other code improvements and error corrections, which were not reported in the previous report. Through the verification calculations, the new features of MARS 1.4 have been verified well implemented in the code. In conclusion, MARS 1.4 code has been developed and verified as implemented in the code. In conclusion, MARS 1.4 code has been developed and verified as a multi-dimensional system thermal-hydraulic analysis tool. And, it can play its role as a basic code frame for the future development of a multi-purpose consolidated code, MARS 2.x, for coupled analysis of multi-dimensional system thermal hydraulics, 3D core kinetics, core CHF and containment as well as for further improvement of thermal-hydraulic and numerical models. 4 refs., 10 figs. (Author)

  3. Coding of visual object features and feature conjunctions in the human brain.

    Science.gov (United States)

    Martinovic, Jasna; Gruber, Thomas; Müller, Matthias M

    2008-01-01

    Object recognition is achieved through neural mechanisms reliant on the activity of distributed coordinated neural assemblies. In the initial steps of this process, an object's features are thought to be coded very rapidly in distinct neural assemblies. These features play different functional roles in the recognition process--while colour facilitates recognition, additional contours and edges delay it. Here, we selectively varied the amount and role of object features in an entry-level categorization paradigm and related them to the electrical activity of the human brain. We found that early synchronizations (approx. 100 ms) increased quantitatively when more image features had to be coded, without reflecting their qualitative contribution to the recognition process. Later activity (approx. 200-400 ms) was modulated by the representational role of object features. These findings demonstrate that although early synchronizations may be sufficient for relatively crude discrimination of objects in visual scenes, they cannot support entry-level categorization. This was subserved by later processes of object model selection, which utilized the representational value of object features such as colour or edges to select the appropriate model and achieve identification.

  4. Clozapine: an effective treatment for seriously violent and psychopathic men with antisocial personality disorder in a UK high-security hospital.

    Science.gov (United States)

    Brown, Darcy; Larkin, Fintan; Sengupta, Samrat; Romero-Ureclay, Jose L; Ross, Callum C; Gupta, Nitin; Vinestock, Morris; Das, Mrigendra

    2014-10-01

    A number of studies have demonstrated the anti-aggressive properties of clozapine in schizophrenia and its positive effect in borderline personality disorder. There is no published literature on the treatment of antisocial personality disorder (ASPD) with clozapine. We present a case series of 7 patients with primary ASPD and high psychopathic traits treated with clozapine, having a significant history of serious violence and currently detained in a UK based high-security hospital. A retrospective review of case notes was carried out to formulate Clinical Global Impression (CGI) scores and record incidents of violence and aggression. Effect on specific symptom domains (cognitive-perceptual, impulsive-behavioural dyscontrol, affective dysregulation) was also noted. Metabolic parameters and serum clozapine levels were also sampled. All 7 patients showed significant improvement on clozapine. It was shown to benefit all symptom domains, especially impulsive behavioral dyscontrol and anger. The number of violent incidents committed by 6 of the 7 patients reduced significantly, and all patients' risk of violence reduced. Clozapine serum levels for 6 of the 7 patients were in the range 150-350 ng/mL. Clozapine is of benefit in reducing the clinical severity of ASPD. It improved all symptom domains, especially impulsive-behavioral dyscontrol and anger, and reduced levels of aggression and violence, especially at lower doses (serum levels <350 ng/m). To our knowledge, this is the first account of clozapine treatment in patients with ASPD and high psychopathy.

  5. Structural Features Reminiscent of ATP-Driven Protein Translocases Are Essential for the Function of a Type III Secretion-Associated ATPase.

    Science.gov (United States)

    Kato, Junya; Lefebre, Matthew; Galán, Jorge E

    2015-09-01

    Many bacterial pathogens and symbionts utilize type III secretion systems to interact with their hosts. These machines have evolved to deliver bacterial effector proteins into eukaryotic target cells to modulate a variety of cellular functions. One of the most conserved components of these systems is an ATPase, which plays an essential role in the recognition and unfolding of proteins destined for secretion by the type III pathway. Here we show that structural features reminiscent of other ATP-driven protein translocases are essential for the function of InvC, the ATPase associated with a Salmonella enterica serovar Typhimurium type III secretion system. Mutational and functional analyses showed that a two-helix-finger motif and a conserved loop located at the entrance of and within the predicted pore formed by the hexameric ATPase are essential for InvC function. These findings provide mechanistic insight into the function of this highly conserved component of type III secretion machines. Type III secretion machines are essential for the virulence or symbiotic relationships of many bacteria. These machines have evolved to deliver bacterial effector proteins into host cells to modulate cellular functions, thus facilitating bacterial colonization and replication. An essential component of these machines is a highly conserved ATPase, which is necessary for the recognition and secretion of proteins destined to be delivered by the type III secretion pathway. Using modeling and structure and function analyses, we have identified structural features of one of these ATPases from Salmonella enterica serovar Typhimurium that help to explain important aspects of its function. Copyright © 2015, American Society for Microbiology. All Rights Reserved.

  6. Comparing the utility of DSM-5 Section II and III antisocial personality disorder diagnostic approaches for capturing psychopathic traits.

    Science.gov (United States)

    Few, Lauren R; Lynam, Donald R; Maples, Jessica L; MacKillop, James; Miller, Joshua D

    2015-01-01

    The current study compares the 2 diagnostic approaches (Section II vs. Section III) included in the Diagnostic and Statistical Manual for Mental Disorders-5 (DSM-5; American Psychiatric Association, 2013) for diagnosis of antisocial personality disorder (ASPD) in terms of their relations with psychopathic traits and externalizing behaviors (EBs). The Section III approach to ASPD, which is more explicitly trait-based than the Section II approach, also includes a psychopathy specifier (PS) that was created with the goal of making the diagnosis of ASPD more congruent with psychopathy. In a community sample of individuals currently receiving mental health treatment (N = 106), ratings of the 2 DSM-5 diagnostic approaches were compared in relation to measures of psychopathy, as well as indices of EBs. Both DSM-5 ASPD approaches were significantly related to the psychopathy scores, although the Section III approach accounted for almost twice the amount of variance when compared with the Section II approach. Relatively little of this predictive advantage, however, was due to the PS, as these traits manifested little evidence of incremental validity in relation to existing psychopathy measures and EBs, with the exception of a measure of fearless dominance. Overall, the DSM-5 Section III diagnostic approach for ASPD is more convergent with the construct of psychopathy, from which ASPD was originally derived. These improvements, however, are due primarily to the new trait-based focus in the Section III ASPD diagnosis rather than the assessment of personality dysfunction or the inclusion of additional "psychopathy-specific" traits. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

  7. Effective Feature Selection for Classification of Promoter Sequences.

    Directory of Open Access Journals (Sweden)

    Kouser K

    Full Text Available Exploring novel computational methods in making sense of biological data has not only been a necessity, but also productive. A part of this trend is the search for more efficient in silico methods/tools for analysis of promoters, which are parts of DNA sequences that are involved in regulation of expression of genes into other functional molecules. Promoter regions vary greatly in their function based on the sequence of nucleotides and the arrangement of protein-binding short-regions called motifs. In fact, the regulatory nature of the promoters seems to be largely driven by the selective presence and/or the arrangement of these motifs. Here, we explore computational classification of promoter sequences based on the pattern of motif distributions, as such classification can pave a new way of functional analysis of promoters and to discover the functionally crucial motifs. We make use of Position Specific Motif Matrix (PSMM features for exploring the possibility of accurately classifying promoter sequences using some of the popular classification techniques. The classification results on the complete feature set are low, perhaps due to the huge number of features. We propose two ways of reducing features. Our test results show improvement in the classification output after the reduction of features. The results also show that decision trees outperform SVM (Support Vector Machine, KNN (K Nearest Neighbor and ensemble classifier LibD3C, particularly with reduced features. The proposed feature selection methods outperform some of the popular feature transformation methods such as PCA and SVD. Also, the methods proposed are as accurate as MRMR (feature selection method but much faster than MRMR. Such methods could be useful to categorize new promoters and explore regulatory mechanisms of gene expressions in complex eukaryotic species.

  8. Convergent and Discriminant Validity of Psychopathy Factors Assessed Via Self-Report: A Comparison of Three Instruments

    OpenAIRE

    Benning, Stephen D.; Patrick, Christopher J.; Salekin, Randall T.; Leistico, Anne-Marie R.

    2005-01-01

    Psychopathy has been conceptualized as a personality disorder with distinctive interpersonal-affective and behavioral deviance features. The authors examine correlates of the factors of the Psychopathic Personality Inventory (PPI), Self-Report Psychopathy–II (SRP-II) scale, and Antisocial Process Screening Device (APSD) to understand similarities and differences among the constructs embodied in these instruments. PPI Fearless Dominance and SRP-II Factor 1 were negatively related to most perso...

  9. Prediction of heterodimeric protein complexes from weighted protein-protein interaction networks using novel features and kernel functions.

    Directory of Open Access Journals (Sweden)

    Peiying Ruan

    Full Text Available Since many proteins express their functional activity by interacting with other proteins and forming protein complexes, it is very useful to identify sets of proteins that form complexes. For that purpose, many prediction methods for protein complexes from protein-protein interactions have been developed such as MCL, MCODE, RNSC, PCP, RRW, and NWE. These methods have dealt with only complexes with size of more than three because the methods often are based on some density of subgraphs. However, heterodimeric protein complexes that consist of two distinct proteins occupy a large part according to several comprehensive databases of known complexes. In this paper, we propose several feature space mappings from protein-protein interaction data, in which each interaction is weighted based on reliability. Furthermore, we make use of prior knowledge on protein domains to develop feature space mappings, domain composition kernel and its combination kernel with our proposed features. We perform ten-fold cross-validation computational experiments. These results suggest that our proposed kernel considerably outperforms the naive Bayes-based method, which is the best existing method for predicting heterodimeric protein complexes.

  10. Consistency relations for sharp inflationary non-Gaussian features

    Energy Technology Data Exchange (ETDEWEB)

    Mooij, Sander; Palma, Gonzalo A.; Panotopoulos, Grigoris [Departamento de Física, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Blanco Encalada 2008, Santiago (Chile); Soto, Alex, E-mail: sander.mooij@ing.uchile.cl, E-mail: gpalmaquilod@ing.uchile.cl, E-mail: gpanotop@ing.uchile.cl, E-mail: gatogeno@gmail.com [Departamento de Física, Facultad de Ciencias, Universidad de Chile, Las Palmeras 3425, Ñuñoa, Santiago (Chile)

    2016-09-01

    If cosmic inflation suffered tiny time-dependent deviations from the slow-roll regime, these would induce the existence of small scale-dependent features imprinted in the primordial spectra, with their shapes and sizes revealing information about the physics that produced them. Small sharp features could be suppressed at the level of the two-point correlation function, making them undetectable in the power spectrum, but could be amplified at the level of the three-point correlation function, offering us a window of opportunity to uncover them in the non-Gaussian bispectrum. In this article, we show that sharp features may be analyzed using only data coming from the three point correlation function parametrizing primordial non-Gaussianity. More precisely, we show that if features appear in a particular non-Gaussian triangle configuration (e.g. equilateral, folded, squeezed), these must reappear in every other configuration according to a specific relation allowing us to correlate features across the non-Gaussian bispectrum. As a result, we offer a method to study scale-dependent features generated during inflation that depends only on data coming from measurements of non-Gaussianity, allowing us to omit data from the power spectrum.

  11. Consistency relations for sharp inflationary non-Gaussian features

    International Nuclear Information System (INIS)

    Mooij, Sander; Palma, Gonzalo A.; Panotopoulos, Grigoris; Soto, Alex

    2016-01-01

    If cosmic inflation suffered tiny time-dependent deviations from the slow-roll regime, these would induce the existence of small scale-dependent features imprinted in the primordial spectra, with their shapes and sizes revealing information about the physics that produced them. Small sharp features could be suppressed at the level of the two-point correlation function, making them undetectable in the power spectrum, but could be amplified at the level of the three-point correlation function, offering us a window of opportunity to uncover them in the non-Gaussian bispectrum. In this article, we show that sharp features may be analyzed using only data coming from the three point correlation function parametrizing primordial non-Gaussianity. More precisely, we show that if features appear in a particular non-Gaussian triangle configuration (e.g. equilateral, folded, squeezed), these must reappear in every other configuration according to a specific relation allowing us to correlate features across the non-Gaussian bispectrum. As a result, we offer a method to study scale-dependent features generated during inflation that depends only on data coming from measurements of non-Gaussianity, allowing us to omit data from the power spectrum.

  12. Offenders with antisocial personality disorder show attentional bias for violence-related stimuli.

    Science.gov (United States)

    Domes, Gregor; Mense, Julia; Vohs, Knut; Habermeyer, Elmar

    2013-08-30

    Offenders with antisocial personality disorder (ASPD) may be characterized by a lack in emotional functioning that manifests in irritability and a lack of remorse. The proposed link between ASPD and negative emotionality led to the question of emotional processing anomalies in ASPD. Furthermore, the effect of childhood maltreatment/abuse on emotional processing was tested in the present study. Violent and sexual offenders with ASPD (n=35), without ASPD (n=34), and healthy non-criminal controls (n=24) were compared in an Emotional Stroop Task (EST) using neutral, negative, and violence-related words. Secondary analyses focused on the effect of psychopathic traits and childhood maltreatment. Offenders with ASPD showed a stronger attentional bias to violence-related and negative words as compared to controls. Comparable results were obtained when grouping offenders to high, medium, and low psychopathic subgroups. Offenders with childhood maltreatment specifically showed stronger violence-related attentional bias than non-maltreated offenders. The data suggest that enhanced attention to violence-related stimuli in adult criminal offenders is associated with adverse developmental experiences and delinquency but to a lesser extent with antisocial or psychopathic traits. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  13. Comparative Study of Features of Social Intelligence and Speech Behavior of Children of Primary School Age with Impaired Mental Function

    Directory of Open Access Journals (Sweden)

    Shcherban D.

    2018-04-01

    Full Text Available The article discusses the concept of social intelligence and its characteristics in children of primary school age with impaired mental functions. The concept and main features, including speech, are discussed, delays of mental development, the importance of detained development for social intelligence and speech behavior are also considered. Also, the concept of speech behavior is analyzed, the author defines the phenomenon, describes its specific features, which are distinguish its structure, and consist of six components: verbal, emotional, motivational, ethical (moral, prognostic, semantic (cognitive. Particular attention is paid to the position of social intelligence in the structure of speech behavior of children of primary school age with a impaired mental functions. Indicators of social intelligence were analyzed from the point of view of speech behavior of children with different rates of mental development and compared with its components at a qualitative level. The study used both author's and well-known techniques.

  14. Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

    Directory of Open Access Journals (Sweden)

    Jin-Jia Wang

    2015-01-01

    Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

  15. Emotional intelligence in incarcerated men with psychopathic traits

    OpenAIRE

    Ermer, Elsa; Kahn, Rachel E.; Salovey, Peter; Kiehl, Kent A.

    2012-01-01

    The expression, recognition, and communication of emotional states are ubiquitous features of the human social world. Emotional intelligence (EI) is defined as the ability to perceive, manage, and reason about emotions, in oneself and others. Individuals with psychopathy have numerous difficulties in social interaction and show impairment on some emotional tasks. Here we investigate the relation between emotional intelligence and psychopathy in a sample of incarcerated men (n=374), using the ...

  16. Molecular Features of Wheat Endosperm Arabinoxylan Inclusion in Functional Bread

    Directory of Open Access Journals (Sweden)

    Weili Li

    2013-06-01

    Full Text Available Arabinoxylan (AX is a major dietary fibre component found in a variety of cereals. Numerous health benefits of arabinoxylans have been reported to be associated with their solubility and molecular features. The current study reports the development of a functional bread using a combination of AX-enriched material (AEM and optimal commercial endoxylanase. The total AX content of bread was increased to 8.2 g per 100 g available carbohydrates. The extractability of AX in breads with and without endoxylanase was determined. The results demonstrate that water-extractable AX (WE-AX increased progressively through the bread making process. The application of endoxylanase also increased WE-AX content. The presence of 360 ppm of endoxylanase had positive effects on the bread characteristics in terms of bread volume and firmness by converting the water unextractable (WU-AX to WE-AX. In addition, the molecular weight (Mw distribution of the WE-AX of bread with and without endoxylanase was characterized by size-exclusion chromatography. The results show that as the portion of WE-AX increased, the amount of high Mw WE-AX (higher than 100 kDa decreased, whereas the amount of low Mw WE-AX (lower than 100 kDa increased from 33.2% to 44.2% through the baking process. The low Mw WE-AX further increased to 75.5% with the application of the optimal endoxylanase (360 ppm.

  17. Molecular Features of Wheat Endosperm Arabinoxylan Inclusion in Functional Bread

    Science.gov (United States)

    Li, Weili; Hu, Hui; Wang, Qi; Brennan, Charles J.

    2013-01-01

    Arabinoxylan (AX) is a major dietary fibre component found in a variety of cereals. Numerous health benefits of arabinoxylans have been reported to be associated with their solubility and molecular features. The current study reports the development of a functional bread using a combination of AX-enriched material (AEM) and optimal commercial endoxylanase. The total AX content of bread was increased to 8.2 g per 100 g available carbohydrates. The extractability of AX in breads with and without endoxylanase was determined. The results demonstrate that water-extractable AX (WE-AX) increased progressively through the bread making process. The application of endoxylanase also increased WE-AX content. The presence of 360 ppm of endoxylanase had positive effects on the bread characteristics in terms of bread volume and firmness by converting the water unextractable (WU)-AX to WE-AX. In addition, the molecular weight (Mw) distribution of the WE-AX of bread with and without endoxylanase was characterized by size-exclusion chromatography. The results show that as the portion of WE-AX increased, the amount of high Mw WE-AX (higher than 100 kDa) decreased, whereas the amount of low Mw WE-AX (lower than 100 kDa) increased from 33.2% to 44.2% through the baking process. The low Mw WE-AX further increased to 75.5% with the application of the optimal endoxylanase (360 ppm). PMID:28239111

  18. Weighted Feature Gaussian Kernel SVM for Emotion Recognition.

    Science.gov (United States)

    Wei, Wei; Jia, Qingxuan

    2016-01-01

    Emotion recognition with weighted feature based on facial expression is a challenging research topic and has attracted great attention in the past few years. This paper presents a novel method, utilizing subregion recognition rate to weight kernel function. First, we divide the facial expression image into some uniform subregions and calculate corresponding recognition rate and weight. Then, we get a weighted feature Gaussian kernel function and construct a classifier based on Support Vector Machine (SVM). At last, the experimental results suggest that the approach based on weighted feature Gaussian kernel function has good performance on the correct rate in emotion recognition. The experiments on the extended Cohn-Kanade (CK+) dataset show that our method has achieved encouraging recognition results compared to the state-of-the-art methods.

  19. Design Features for Linguistically-Mediated Meaning Construction: The Relative Roles of the Linguistic and Conceptual Systems in Subserving the Ideational Function of Language.

    Science.gov (United States)

    Evans, Vyvyan

    2016-01-01

    Recent research in language and cognitive science proposes that the linguistic system evolved to provide an "executive" control system on the evolutionarily more ancient conceptual system (e.g., Barsalou et al., 2008; Evans, 2009, 2015a,b; Bergen, 2012). In short, the claim is that embodied representations in the linguistic system interface with non-linguistic representations in the conceptual system, facilitating rich meanings, or simulations, enabling linguistically mediated communication. In this paper I build on these proposals by examining the nature of what I identify as design features for this control system. In particular, I address how the ideational function of language-our ability to deploy linguistic symbols to convey meanings of great complexity-is facilitated. The central proposal of this paper is as follows. The linguistic system of any given language user, of any given linguistic system-spoken or signed-facilitates access to knowledge representation-concepts-in the conceptual system, which subserves this ideational function. In the most general terms, the human meaning-making capacity is underpinned by two distinct, although tightly coupled representational systems: the conceptual system and the linguistic system. Each system contributes to meaning construction in qualitatively distinct ways. This leads to the first design feature: given that the two systems are representational-they are populated by semantic representations-the nature and function of the representations are qualitatively different. This proposed design feature I term the bifurcation in semantic representation. After all, it stands to reason that if a linguistic system has a different function, vis-à-vis the conceptual system, which is of far greater evolutionary antiquity, then the semantic representations will be complementary, and as such, qualitatively different, reflecting the functional distinctions of the two systems, in collectively giving rise to meaning. I consider the

  20. THE FEATURES OF AIRCRAFT FUNCTIONAL SYSTEMS PERFORMANCE MONITORING

    Directory of Open Access Journals (Sweden)

    Stanislav Alexandrovich Krotov

    2017-01-01

    Full Text Available The key steps of aircraft essential parameters and events monitoring during its operation are considered in the arti- cle. Conditions for specific risk monitoring are also presented.The notion of fail-safe feature of aircraft functional systems is analysed, and the necessity of continuous process of safety flight level estimate is shown. The method of quantitative assessment of key events and risks probabilities with the use of modern software is proposed. This method contains 5 basic stages: The monitoring parameters setting - this stage is initial and begins with the consideration of organization safety cul- ture, the main purposes and problems determination, the basic parameters and characteristics forming which are to be monitored. The event monitoring in operation - on this stage continuous process of key events searching and monitoring which are a thing of importance within the framework of the established problems takes place. This process is closely relat- ed to parameters monitoring set on the first stage. The event and risk estimate - this stage begins directly after the event has been discovered. The estimate pro- cess is as long as it is required to identify the event gravity. It also contains the preliminary risk estimate for using in priori- tization of initial expanded estimate and in the working out of plan for activities realization. The working out of plan for activities - on this stage correction data is determined that will make changes to aero- technics working out, operation, maintenance and to staff training directly in linkage to the problem event identified earlier. The activity carrying-out - the realization of actions according to the activity plan. This stage concludes priori- tization, planning and problem carrying-out. The dependence set between the probability of failure situations and the degree of their danger is shown. The key factors which are subject to be estimated while aircraft operating and which aim with

  1. Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.

    Science.gov (United States)

    Zhou, Hang; Yang, Yang; Shen, Hong-Bin

    2017-03-15

    Protein subcellular localization prediction has been an important research topic in computational biology over the last decade. Various automatic methods have been proposed to predict locations for large scale protein datasets, where statistical machine learning algorithms are widely used for model construction. A key step in these predictors is encoding the amino acid sequences into feature vectors. Many studies have shown that features extracted from biological domains, such as gene ontology and functional domains, can be very useful for improving the prediction accuracy. However, domain knowledge usually results in redundant features and high-dimensional feature spaces, which may degenerate the performance of machine learning models. In this paper, we propose a new amino acid sequence-based human protein subcellular location prediction approach Hum-mPLoc 3.0, which covers 12 human subcellular localizations. The sequences are represented by multi-view complementary features, i.e. context vocabulary annotation-based gene ontology (GO) terms, peptide-based functional domains, and residue-based statistical features. To systematically reflect the structural hierarchy of the domain knowledge bases, we propose a novel feature representation protocol denoted as HCM (Hidden Correlation Modeling), which will create more compact and discriminative feature vectors by modeling the hidden correlations between annotation terms. Experimental results on four benchmark datasets show that HCM improves prediction accuracy by 5-11% and F 1 by 8-19% compared with conventional GO-based methods. A large-scale application of Hum-mPLoc 3.0 on the whole human proteome reveals proteins co-localization preferences in the cell. www.csbio.sjtu.edu.cn/bioinf/Hum-mPLoc3/. hbshen@sjtu.edu.cn. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  2. Oversampling the Minority Class in the Feature Space.

    Science.gov (United States)

    Perez-Ortiz, Maria; Gutierrez, Pedro Antonio; Tino, Peter; Hervas-Martinez, Cesar

    2016-09-01

    The imbalanced nature of some real-world data is one of the current challenges for machine learning researchers. One common approach oversamples the minority class through convex combination of its patterns. We explore the general idea of synthetic oversampling in the feature space induced by a kernel function (as opposed to input space). If the kernel function matches the underlying problem, the classes will be linearly separable and synthetically generated patterns will lie on the minority class region. Since the feature space is not directly accessible, we use the empirical feature space (EFS) (a Euclidean space isomorphic to the feature space) for oversampling purposes. The proposed method is framed in the context of support vector machines, where the imbalanced data sets can pose a serious hindrance. The idea is investigated in three scenarios: 1) oversampling in the full and reduced-rank EFSs; 2) a kernel learning technique maximizing the data class separation to study the influence of the feature space structure (implicitly defined by the kernel function); and 3) a unified framework for preferential oversampling that spans some of the previous approaches in the literature. We support our investigation with extensive experiments over 50 imbalanced data sets.

  3. Feature Import Vector Machine: A General Classifier with Flexible Feature Selection.

    Science.gov (United States)

    Ghosh, Samiran; Wang, Yazhen

    2015-02-01

    The support vector machine (SVM) and other reproducing kernel Hilbert space (RKHS) based classifier systems are drawing much attention recently due to its robustness and generalization capability. General theme here is to construct classifiers based on the training data in a high dimensional space by using all available dimensions. The SVM achieves huge data compression by selecting only few observations which lie close to the boundary of the classifier function. However when the number of observations are not very large (small n ) but the number of dimensions/features are large (large p ), then it is not necessary that all available features are of equal importance in the classification context. Possible selection of an useful fraction of the available features may result in huge data compression. In this paper we propose an algorithmic approach by means of which such an optimal set of features could be selected. In short, we reverse the traditional sequential observation selection strategy of SVM to that of sequential feature selection. To achieve this we have modified the solution proposed by Zhu and Hastie (2005) in the context of import vector machine (IVM), to select an optimal sub-dimensional model to build the final classifier with sufficient accuracy.

  4. Relationship between DCE-MRI morphological and functional features and histopathological characteristics of breast cancer

    International Nuclear Information System (INIS)

    Montemurro, Filippo; Redana, Stefania; Aglietta, Massimo; Martincich, Laura; Bertotto, Ilaria; Cellini, Lisa; Sarotto, Ivana; Ponzone, Riccardo; Sismondi, Piero; Regge, Daniele

    2007-01-01

    We studied whether dynamic contrast-enhanced MRI (DCE-MRI) could identify histopathological characteristics of breast cancer. Seventy-five patients with breast cancer underwent DCE-MRI followed by core biopsy. DCE-MRI findings were evaluated following the scoring system published by Fischer in 1999. In this scoring system, five DCE-MRI features, three morphological (shape, margins, enhancement kinetic) and two functional (initial peak of signal intensity (SI) increase and behavior of signal intensity curve), are defined by 14 parameters. Each parameter is assigned points ranging from 0 to 1 or 0 to 2, with higher points for those that are more likely to be associated with malignancy. The sum of all the points defines the degree of suspicion of malignancy, with a score 0 representing the lowest and 8 the highest degree of suspicion. Associations between DCE-MRI features and tumor histopathological characteristics assessed on core biopsies (histological type, grading, estrogen and progesterone receptor status, Ki67 and HER2 status) were studied by contingency tables and logistic regression analysis. We found a significant inverse association between the Fischer's score and HER2-overexpression (odds ratio-OR 0.608, p = 0.02). Based on our results, we suggest that lesions with intermediate-low suspicious DCE-MRI parameters may represent a subset of tumor with poor histopathological characteristics. (orig.)

  5. Clarifying the Role of Defensive Reactivity Deficits in Psychopathy and Antisocial Personality Using Startle Reflex Methodology

    Science.gov (United States)

    Vaidyanathan, Uma; Hall, Jason R.; Patrick, Christopher J.; Bernat, Edward M.

    2010-01-01

    Prior research has demonstrated deficits in defensive reactivity (indexed by potentiation of the startle blink reflex) in psychopathic individuals. However, the basis of this association remains unclear, as diagnostic criteria for psychopathy encompass two distinct phenotypic components that may reflect differing neurobiological mechanisms – an affective-interpersonal component, and an antisocial deviance component. Likewise, the role of defensive response deficits in antisocial personality disorder (APD), a related but distinct syndrome, remains to be clarified. The current study examined affective priming deficits in relation to factors of psychopathy and symptoms of APD using startle reflex methods in 108 adult male prisoners. Deficits in blink reflex potentiation during aversive picture viewing were found in relation to the affective-interpersonal (Factor 1) component of psychopathy, and to a lesser extent in relation to the antisocial deviance (Factor 2) component of psychopathy and symptoms of APD—but only as a function of their overlap with affective-interpersonal features of psychopathy. These findings provide clear evidence that deficits in defensive reactivity are linked specifically to the affective-interpersonal features of psychopathy, and not the antisocial deviance features represented most strongly in APD. PMID:20973594

  6. Comportamento violento e disfunção cerebral: estudo de homicidas no Rio de Janeiro Violent behavior and brain dysfunction: study of murderers in Rio de Janeiro

    Directory of Open Access Journals (Sweden)

    Flavio Jozef

    2000-09-01

    Full Text Available Objetivos: Estudar a correlação entre disfunção cerebral e psicopatia em homicidas. Métodos: Foram separados em dois grupos (psicopatas e não-psicopatas 29 homicidas "normais" (não-psicóticos, detidos em uma delegacia policial e escolhidos aleatoriamente, com base no HARE PCL-R (escala de avaliação de psicopatia. Ambos os grupos foram submetidos a testagem neuropsicológica, sendo empregados testes voltados para atividade em lobo frontal (Trail Making Test A e B, e subtestes do WAIS [Mosaico, Semelhanças e Símbolos Numéricos]. Resultados: Dos homicidas, 15 foram considerados psicopatas e 14, não-psicopatas. O subteste Mosaico, do WAIS, constituiu-se em discriminador entre os dois grupos pela presença significativa de resultados negativos em não-psicopatas (chi²=5,37; G.L.=1; PObjectives: The aim of the study was to investigate the association between psychopathy and cerebral dysfunction in a population of murderers. Methods: A random sample of 29 "normal" (non-psychotic murderers detained in a police station were evaluated and classified into psychopaths (n=15 and non-psychopaths (n=14 according to the HARE PCL-R. All individuals in the sample were submitted to neuropsychological tests (Trail Making Test A and B, and WAIS subtests [Block Design, Similarities and Digit Symbol]. Results: The WAIS subtest Block Design was a discriminator between the sample subgroups, with psychopaths scoring significantly better than non-psychopaths (c²=5.37; G.L.=1; p<0.05. As psychopaths were most commonly diagnosed with alcohol/illicit drugs addiction/abuse than non-psychopaths, this factor does not seem to account for the better neuropsychological performance of non-psychopaths. Conclusions: There is evidence that frontal lobe dysfunction is implied in homicidal behavior among non-psychopaths. A better psychiatric evaluation of murderers and the routine use of HARE PCL-R as a clinical and research tool are recommended.

  7. [Age-related features of neuromuscular function in rats with hyperthyroidism].

    Science.gov (United States)

    Nerush, P O; Makiĭ, Ie A; Rodyns'kyĭ, O H

    2001-01-01

    Studied features of functioning of nervous-muscular system at white rats of two age groups: preadolescent (5 weeks) and puberal (24 weeks), in conditions experimental hyperthyroidism (HT). It is established, that in conditions HT at action of the raised concentration thyroxine characteristics of excitation gastrocnemius muscles essentially changed at irritation of a sciatic nerve in groups preadolescent and puberal animals. In all age groups in conditions HT increase of a threshold of excitation gastrocnemius muscles is marked at indirect stimulation and decrease at direct stimulation; also in all age groups in conditions HT reduction of time chronaxy muscles is fixed, both at direct, and at indirect irritation. At preadolescent animals, as against puberal in conditions HT at action of the raised concentration thyroxine on nervous-muscular system it is not revealed authentic change of the latent period and amplitude of potential of action (PA). The conclusion is made, that in conditions HT change of a threshold of excitation and chronaxy gastrocnemius muscles both at direct, and at indirect irritation do not carry age specificity and have an identical orientation, both at preadolescent, and at puberal rats. At preadolescent animals in conditions HT, as against puberal the parameter of amplitude and latent period PA authentically did not change, that can testify to smaller sensitivity of the caused answers gastrocnemius muscles to the raised concentration thyroxine, probably, by virtue of immaturity peripheral neuromotor the device.

  8. Dimensional feature weighting utilizing multiple kernel learning for single-channel talker location discrimination using the acoustic transfer function.

    Science.gov (United States)

    Takashima, Ryoichi; Takiguchi, Tetsuya; Ariki, Yasuo

    2013-02-01

    This paper presents a method for discriminating the location of the sound source (talker) using only a single microphone. In a previous work, the single-channel approach for discriminating the location of the sound source was discussed, where the acoustic transfer function from a user's position is estimated by using a hidden Markov model of clean speech in the cepstral domain. In this paper, each cepstral dimension of the acoustic transfer function is newly weighted, in order to obtain the cepstral dimensions having information that is useful for classifying the user's position. Then, this paper proposes a feature-weighting method for the cepstral parameter using multiple kernel learning, defining the base kernels for each cepstral dimension of the acoustic transfer function. The user's position is trained and classified by support vector machine. The effectiveness of this method has been confirmed by sound source (talker) localization experiments performed in different room environments.

  9. Poly(2-vinyl pyridine)-block-poly(ethylene oxide) featuring a furan group at the block junction-synthesis and functionalization.

    Science.gov (United States)

    Rudolph, Tobias; Barthel, Markus J; Kretschmer, Florian; Mansfeld, Ulrich; Hoeppener, Stephanie; Hager, Martin D; Schubert, Ulrich S; Schacher, Felix H

    2014-05-01

    Furfuryl glycidyl ether (FGE) represents a highly versatile monomer for the preparation of reversibly cross-linkable nanostructured materials via Diels-Alder reactions. Here, the use of FGE for the mid-chain functionalization of a P2VP-b-PEO diblock copolymer is reported. The material features one furan moiety at the block junction, P2VP68 -FGE-b-PEO390 , which can be subsequently addressed in Diels-Alder reactions using maleimide-functionalized counterparts. The presence of the FGE moiety enables the introduction of dyes as model labels or the formation of hetero-grafted brushes as shell on hybrid Au@Polymer nanoparticles. This renders P2VP68 -FGE-b-PEO390 , a powerful tool for selective functionalization reactions, including the modification of surfaces. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  10. Influence of contrast morphogenetic features of urban constructed soils on the functioning of Moscow green lawn urban ecosystems: analysis based on the field model experiment

    Science.gov (United States)

    Epikhina, Anna; Vizirskaya, Mariya; Mazirov, Ilya; Vasenev, Vyacheslav; Vasenev, Ivan; Valentini, Riccardo

    2014-05-01

    Green lawns are the key element of the urban environment. They occupy a considerable part of the city area and locate in different urban functional zones. Urban constructed soils under green lawns have a unique spatial variability in chemical and morphogenetic features. So far, there is lack of information on the influence of morphogenetic features of urban soils on the functioning of the green lawn ecosystems especially in Moscow - the biggest megalopolis in Europe. Urban lawns perform a number of principal functions including both aesthetic and environmental. The role of the green lawn ecosystems in global carbon cycle is one of their main environmental functions. It is traditionally assessed through carbon stocks and fluxes in the basic ecosystem components. So far, such a data for the urban lawn ecosystems of the Moscow megapolis is lacking. In addition to environmental functions, green lawns perform an important ornamental role, which is also a critical criterion of their optimal functioning. Considering the variability of driving factors, influencing green lawns in urban environment, we carry out the model experiment in order to analyze "pure" effect of soil morphogenetic features. The current study aimed to analyze the influence of contrast morphogenetic features of urban constructed soils on the environmental and aesthetic functions of lawn ecosystems in Moscow megapolis basing in the model experiment. We carry out the model experiment located at the experimental field of the Russian State Agrarian University. Special transparent containers developed for the experiment, provided an option to observe soil morphogenetic features dynamics, including the depth and material of the organic transformation. At the same soil body inside the containers was united with the outside environment through the system of holes in the bottom and walls. The set of urban constructed soils includ four contrast types of the top soil (turf (T), turf-sand (TSa), turf-soil (TSo) and

  11. Field application of feature-enhanced imaging

    International Nuclear Information System (INIS)

    Mucciardi, A.N.

    1988-01-01

    One of the more challenging ultrasonic inspection problems is bimetallic weld inspection or, in general, dissimilar metal welds. These types of welds involve complicated geometries and various mixtures of materials. Attempts to address this problem with imaging alone have fallen short of desired goals. The probable reason for this is the lack of information supplied by imaging systems, which are limited to amplitude and time displays. Having RF information available for analysis greatly enhances the information obtainable from dissimilar metal welds and, coupled with the spatial map generated by an imaging system, can significantly improve the reliability of dissimilar metal weld inspections. Ultra Image and TestPro are, respectively, an imaging system and a feature-based signal analysis system. The purpose of this project is to integrate these two systems to produce a feature-enhanced imaging system. This means that a software link is established between Ultra Image and the PC-based TestPro system so that the user of the combined system can perform all the usual imaging functions and also have available a wide variety of RF signal analysis functions. The analysis functions include waveform feature-based pattern recognition as well as artificial intelligence/expert system techniques

  12. Steam generator thermal hydraulic design & functional architecture features and related operational and reliability issues requiring consideration

    International Nuclear Information System (INIS)

    Klarner, R.G.

    2012-01-01

    Proper thermal hydraulic design and functional architecture are critical to successful steam generator operation and long term reliability. The evolution of steam generators has been a gradual learning process that has benefited from continuous industry operational experience (OPEX). Inadequate thermal hydraulic design can lead to numerous degradation mechanisms such as excessive deposition, corrosion, flow and level instabilities, fluid-elastic instabilities and tube wear. The functional architecture determines the health of the tube bundle and the other internals during manufacturing, handling and operation. It also determines thermal performance as well as establishing global thermal-hydraulic characteristics such as water level shrink and swell response. This paper discusses the range of operational and reliability issues and relates them to the thermal hydraulic attributes and functional architecture of steam generators (many SG reliability issues are further discussed in other presentations at this conference). In pursuing such issues, the paper focuses on the four major features of the equipment, identifying in each case the goals and requirements such features must meet. Typical approaches and the means by which such requirements are addressed in current equipment are discussed. The four features are: 1. Tubing Material and Tube Bundle Heat Transfer Performance; a. Two materials are in current use – Alloy 690 TT and Alloy 800. Both are good materials with excellent performance records which serve their owners very well (the reliability attributes of Alloy 800 and 690 are discussed in other papers at this conference). Caution is advised in the supply of any material: – material quality is only assured by what is specified to material suppliers in procurement specifications – i.e. - all the knowledge and research in the world assures nothing if its findings are not reflected in procurement requirements. b. Heat transfer performance in addition to being

  13. Comparison of Memory Function and MMPI-2 Profile between Post-traumatic Stress Disorder and Adjustment Disorder after a Traffic Accident

    Science.gov (United States)

    Bae, Sung-Man; Hyun, Myoung-Ho

    2014-01-01

    Objective Differential diagnosis between post-traumatic stress disorder (PTSD) and adjustment disorder (AD) is rather difficult, but very important to the assignment of appropriate treatment and prognosis. This study investigated methods to differentiate PTSD and AD. Methods Twenty-five people with PTSD and 24 people with AD were recruited. Memory tests, the Minnesota Multiphasic Personality Inventory 2 (MMPI-2), and Beck's Depression Inventory were administered. Results There were significant decreases in immediate verbal recall and delayed verbal recognition in the participants with PTSD. The reduced memory functions of participants with PTSD were significantly influenced by depressive symptoms. Hypochondriasis, hysteria, psychopathic deviate, paranoia, schizophrenia, post-traumatic stress disorder scale of MMPI-2 classified significantly PTSD and AD group. Conclusion Our results suggest that verbal memory assessments and the MMPI-2 could be useful for discriminating between PTSD and AD. PMID:24851120

  14. The Non-motor Features of Essential Tremor: A Primary Disease Feature or Just a Secondary Phenomenon?

    Directory of Open Access Journals (Sweden)

    Ketan Jhunjhunwala

    2014-08-01

    Full Text Available Essential tremor (ET is a pathologically heterogeneous neurodegenerative disorder with both motor and increasingly recognized non-motor features. It is debated whether the non-motor manifestations in ET result from widespread neurodegeneration or are merely secondary to impaired motor functions and decreased quality of life due to tremor. It is important to review these features to determine how to best treat the non-motor symptoms of patients and to understand the basic pathophysiology of the disease and develop appropriate pharmacotherapies. In this review, retrospective and prospective clinical studies were critically analyzed to identify possible correlations between the severities of non-motor features and tremor. We speculated that if such a correlation existed, the non-motor features were likely to be secondary to tremor. According to the current literature, the deficits in executive function, attention, concentration, and memory often observed in ET are likely to be a primary manifestation of the disease. It has also been documented that patients with ET often exhibit characteristic personality traits. However, it remains to be determined whether the other non-motor features often seen in ET, such as anxiety, depression, and sleep disturbances are primary or secondary to motor manifestations of ET and subsequent poor quality of life. Finally, there is evidence that patients with ET can also have impaired color vision, disturbances of olfaction, and hearing impairments, though there are few studies in these areas. Further investigations of large cohorts of patients with ET are required to understand the prevalence, nature, and true significance of the non-motor features in ET.

  15. When psychopathy impairs moral judgments: neural responses during judgments about causing fear.

    Science.gov (United States)

    Marsh, Abigail A; Cardinale, Elise M

    2014-01-01

    Psychopathy is a disorder characterized by reduced empathy, shallow affect and behaviors that cause victims distress, like threats, bullying and violence. Neuroimaging research in both institutionalized and community samples implicates amygdala dysfunction in the etiology of psychopathic traits. Reduced amygdala responsiveness may disrupt processing of fear-relevant stimuli like fearful facial expressions. The present study links amygdala dysfunction in response to fear-relevant stimuli to the willingness of individuals with psychopathic traits to cause fear in other people. Thirty-three healthy adult participants varying in psychopathic traits underwent whole-brain fMRI scanning while they viewed statements that selectively evoke anger, disgust, fear, happiness or sadness. During scanning, participants judged whether it is morally acceptable to make each statement to another person. Psychopathy was associated with reduced activity in right amygdala during judgments of fear-evoking statements and with more lenient moral judgments about causing fear. No group differences in amygdala function or moral judgments emerged for other emotion categories. Psychopathy was also associated with increased activity in middle frontal gyrus (BA 10) during the task. These results implicate amygdala dysfunction in impaired judgments about causing distress in psychopathy and suggest that atypical amygdala responses to fear in psychopathy extend across multiple classes of stimuli.

  16. Spatial reorientation in rats (Rattus norvegicus): Use of geometric and featural information as a function of arena size and feature location

    NARCIS (Netherlands)

    Maes, J.H.R.; Fontanari, L.; Regolin, L.

    2009-01-01

    Rats were used in a spatial reorientation task to assess their ability to use geometric and non-geometric, featural, information. Experimental conditions differed in the size of the arena (small, medium, or large) and whether the food-baited corner was near or far from a visual feature. The main

  17. Identifying the distinct features of geometric structures for hole trapping to generate radicals on rutile TiO₂(110) in photooxidation using density functional theory calculations with hybrid functional.

    Science.gov (United States)

    Wang, Dong; Wang, Haifeng; Hu, P

    2015-01-21

    Using density functional theory calculations with HSE 06 functional, we obtained the structures of spin-polarized radicals on rutile TiO2(110), which is crucial to understand the photooxidation at the atomic level, and further calculate the thermodynamic stabilities of these radicals. By analyzing the results, we identify the structural features for hole trapping in the system, and reveal the mutual effects among the geometric structures, the energy levels of trapped hole states and their hole trapping capacities. Furthermore, the results from HSE 06 functional are compared to those from DFT + U and the stability trend of radicals against the number of slabs is tested. The effect of trapped holes on two important steps of the oxygen evolution reaction, i.e. water dissociation and the oxygen removal, is investigated and discussed.

  18. Comparing the response modulation hypothesis and the integrated emotions system theory : The role of top-down attention in psychopathy

    NARCIS (Netherlands)

    Munneke, Jaap; Hoppenbrouwers, Sylco S.; Little, Bethany; Kooiman, Karen; van der Burg, Erik; Theeuwes, Jan

    2018-01-01

    Objective Two major etiological theories on psychopathy propose different mechanisms as to how emotional facial expressions are processed by individuals with elevated psychopathic traits. The Response Modulation Hypothesis (RMH) proposes that psychopathic individuals show emotional deficits as a

  19. Evaluation value of coronary CTA for coronary plaque features and its correlation with platelet function and serum biochemical indexes

    Directory of Open Access Journals (Sweden)

    Jin-Xia Yang

    2017-01-01

    Full Text Available Objective: To analyze the evaluation value of coronary CT angiography for coronary plaque features and its correlation with platelet function and serum biochemical indexes. Methods: A total of 450 patients with coronary heart disease were divided into calcified plaque group (CT value≥130HU (n=117, soft plaque group (CT value≤60HU (n=150 and mixed plaque group (CT value 60-130HU (n=183 by coronary CT angiography (CTA, and 100 healthy subjects who received physical examination in our hospital during the same period were selected as control group. Differences in platelet function and serum biochemical indexes were compared among four groups of patients, and the judgment value of atheromatous plaque CT value from CTA for the severity of coronary heart disease was analyzed. Results: Platelet function parameters MPV, TEG-MA, P-selectin, PDGF-BB and vWF levels in peripheral blood of soft plaque group were higher than those of the other three groups; inflammatory factors CRP, IL-6, IL-12, IL-18 and IL-23 content in serum were higher than those of the other three groups; chemokines MCP-1, CXCL16, Fractalkine and RANTES content in serum were higher than those of the other three groups; adipocytokines Leptin and RBP4 content in serum were higher than those of the other three groups while SFRP5 content was lower than those of the other three groups. Atheromatous plaque CT value in patients with coronary heart disease was directly correlated with platelet function and the content of serum biochemical indexes. Conclusions: Coronary CTA can accurately assess coronary atheromatous plaque features, and can also be a reliable noninvasive method to judge coronary heart disease severity, treatment prognosis and so on.

  20. Online feature selection with streaming features.

    Science.gov (United States)

    Wu, Xindong; Yu, Kui; Ding, Wei; Wang, Hao; Zhu, Xingquan

    2013-05-01

    We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed. This is in contrast with traditional online learning methods that only deal with sequentially added observations, with little attention being paid to streaming features. The critical challenges for Online Streaming Feature Selection (OSFS) include 1) the continuous growth of feature volumes over time, 2) a large feature space, possibly of unknown or infinite size, and 3) the unavailability of the entire feature set before learning starts. In the paper, we present a novel Online Streaming Feature Selection method to select strongly relevant and nonredundant features on the fly. An efficient Fast-OSFS algorithm is proposed to improve feature selection performance. The proposed algorithms are evaluated extensively on high-dimensional datasets and also with a real-world case study on impact crater detection. Experimental results demonstrate that the algorithms achieve better compactness and higher prediction accuracy than existing streaming feature selection algorithms.

  1. German battle casualties: the treatment of functional somatic disorders during World War I.

    Science.gov (United States)

    Linden, Stefanie Caroline; Jones, Edgar

    2013-10-01

    World War I witnessed the admission of large numbers of German soldiers with neurological symptoms for which there was no obvious organic cause. This posed a considerable challenge for the military and medical authorities and resulted in an active discussion on the etiology and treatment of these disorders. Current historiography is reliant on published physician accounts, and this represents the first study of treatment approaches based on original case notes. We analyzed patient records from two leading departments of academic psychiatry in Germany, those at Berlin and Jena, in conjunction with the contemporaneous medical literature. Treatment, which can be broadly classified into reward and punishment, suggestion, affective shock, cognitive learning, and physiological methods, was developed in the context of the emerging fields of animal learning and neurophysiology. A further innovative feature was the use of quantitative methods to assess outcomes. These measures showed good response rates, though most cured patients were not sent back to battle because of their presumed psychopathic constitution. While some treatments appear unnecessarily harsh from today's perspective and were also criticized by leading psychiatrists of the time, the concentration of effort and involvement of so many senior doctors led to the development of psychotherapeutic methods that were to influence the field of psychiatric therapy for decades to come.

  2. Understanding Legacy Features with Featureous

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2011-01-01

    Java programs called Featureous that addresses this issue. Featureous allows a programmer to easily establish feature-code traceability links and to analyze their characteristics using a number of visualizations. Featureous is an extension to the NetBeans IDE, and can itself be extended by third...

  3. Online Feature Transformation Learning for Cross-Domain Object Category Recognition.

    Science.gov (United States)

    Zhang, Xuesong; Zhuang, Yan; Wang, Wei; Pedrycz, Witold

    2017-06-09

    In this paper, we introduce a new research problem termed online feature transformation learning in the context of multiclass object category recognition. The learning of a feature transformation is viewed as learning a global similarity metric function in an online manner. We first consider the problem of online learning a feature transformation matrix expressed in the original feature space and propose an online passive aggressive feature transformation algorithm. Then these original features are mapped to kernel space and an online single kernel feature transformation (OSKFT) algorithm is developed to learn a nonlinear feature transformation. Based on the OSKFT and the existing Hedge algorithm, a novel online multiple kernel feature transformation algorithm is also proposed, which can further improve the performance of online feature transformation learning in large-scale application. The classifier is trained with k nearest neighbor algorithm together with the learned similarity metric function. Finally, we experimentally examined the effect of setting different parameter values in the proposed algorithms and evaluate the model performance on several multiclass object recognition data sets. The experimental results demonstrate the validity and good performance of our methods on cross-domain and multiclass object recognition application.

  4. Embedded Incremental Feature Selection for Reinforcement Learning

    Science.gov (United States)

    2012-05-01

    Prior to this work, feature selection for reinforce- ment learning has focused on linear value function ap- proximation ( Kolter and Ng, 2009; Parr et al...InProceed- ings of the the 23rd International Conference on Ma- chine Learning, pages 449–456. Kolter , J. Z. and Ng, A. Y. (2009). Regularization and feature

  5. Variability In Long-Wave Runup as a Function of Nearshore Bathymetric Features

    Energy Technology Data Exchange (ETDEWEB)

    Dunkin, Lauren McNeill [Texas A & M Univ., College Station, TX (United States)

    2010-05-01

    Beaches and barrier islands are vulnerable to extreme storm events, such as hurricanes, that can cause severe erosion and overwash to the system. Having dunes and a wide beach in front of coastal infrastructure can provide protection during a storm, but the influence that nearshore bathymetric features have in protecting the beach and barrier island system is not completely understood. The spatial variation in nearshore features, such as sand bars and beach cusps, can alter nearshore hydrodynamics, including wave setup and runup. The influence of bathymetric features on long-wave runup can be used in evaluating the vulnerability of coastal regions to erosion and dune overtopping, evaluating the changing morphology, and implementing plans to protect infrastructure. In this thesis, long-wave runup variation due to changing bathymetric features as determined with the numerical model XBeach is quantified (eXtreme Beach behavior model). Wave heights are analyzed to determine the energy through the surfzone. XBeach assumes that coastal erosion at the land-sea interface is dominated by bound long-wave processes. Several hydrodynamic conditions are used to force the numerical model. The XBeach simulation results suggest that bathymetric irregularity induces significant changes in the extreme long-wave runup at the beach and the energy indicator through the surfzone.

  6. Extract the Relational Information of Static Features and Motion Features for Human Activities Recognition in Videos

    Directory of Open Access Journals (Sweden)

    Li Yao

    2016-01-01

    Full Text Available Both static features and motion features have shown promising performance in human activities recognition task. However, the information included in these features is insufficient for complex human activities. In this paper, we propose extracting relational information of static features and motion features for human activities recognition. The videos are represented by a classical Bag-of-Word (BoW model which is useful in many works. To get a compact and discriminative codebook with small dimension, we employ the divisive algorithm based on KL-divergence to reconstruct the codebook. After that, to further capture strong relational information, we construct a bipartite graph to model the relationship between words of different feature set. Then we use a k-way partition to create a new codebook in which similar words are getting together. With this new codebook, videos can be represented by a new BoW vector with strong relational information. Moreover, we propose a method to compute new clusters from the divisive algorithm’s projective function. We test our work on the several datasets and obtain very promising results.

  7. Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar

    Directory of Open Access Journals (Sweden)

    Nylander Eva

    2009-11-01

    Full Text Available Abstract Background The aim of the study was to perform a feature tracking analysis on cine magnetic resonance (MR images to elucidate if functional measurements of the motion of the left ventricular wall may detect scar defined with gadolinium enhanced MR. Myocardial contraction can be measured in terms of the velocity, displacement and local deformation (strain of a particular myocardial segment. Contraction of the myocardial wall will be reduced in the presence of scar and as a consequence of reduced myocardial blood flow. Methods Thirty patients (3 women and 27 men were selected based on the presence or absence of extensive scar in the anteroseptal area of the left ventricle. The patients were investigated in stable clinical condition, 4-8 weeks post ST-elevation myocardial infarction treated with percutaneous coronary intervention. Seventeen had a scar area >75% in at least one anteroseptal segment (scar and thirteen had scar area Results In the scar patients, segments with scar showed lower functional measurements than remote segments. Radial measurements of velocity, displacement and strain performed better in terms of receiver-operator-characteristic curves (ROC than the corresponding longitudinal measurements. The best area-under-curve was for radial strain, 0.89, where a cut-off value of 38.8% had 80% sensitivity and 86% specificity for the detection of a segment with scar area >50%. As a percentage of the mean, intraobserver variability was 16-14-26% for radial measurements of displacement-velocity-strain and corresponding interobserver variability was 13-12-18%. Conclusion Feature tracking analysis of cine-MR displays velocity, displacement and strain in the radial and longitudinal direction and may be used for the detection of transmural scar. The accuracy and repeatability of the radial functional measurements is satisfactory and global measures agree.

  8. Slow feature analysis: unsupervised learning of invariances.

    Science.gov (United States)

    Wiskott, Laurenz; Sejnowski, Terrence J

    2002-04-01

    Invariant features of temporally varying signals are useful for analysis and classification. Slow feature analysis (SFA) is a new method for learning invariant or slowly varying features from a vectorial input signal. It is based on a nonlinear expansion of the input signal and application of principal component analysis to this expanded signal and its time derivative. It is guaranteed to find the optimal solution within a family of functions directly and can learn to extract a large number of decorrelated features, which are ordered by their degree of invariance. SFA can be applied hierarchically to process high-dimensional input signals and extract complex features. SFA is applied first to complex cell tuning properties based on simple cell output, including disparity and motion. Then more complicated input-output functions are learned by repeated application of SFA. Finally, a hierarchical network of SFA modules is presented as a simple model of the visual system. The same unstructured network can learn translation, size, rotation, contrast, or, to a lesser degree, illumination invariance for one-dimensional objects, depending on only the training stimulus. Surprisingly, only a few training objects suffice to achieve good generalization to new objects. The generated representation is suitable for object recognition. Performance degrades if the network is trained to learn multiple invariances simultaneously.

  9. Linking Psychopathy and School Aggression in a Nonclinical Sample of Adolescents

    Science.gov (United States)

    Gumpel, Thomas P.

    2014-01-01

    Antisocial behavior and school aggression in youth has been linked with affective, interpersonal, self-attributional, and behavioral characteristics; these traits have often been associated with psychopathic behaviors among adults. Psychopathic traits were examined in nonclinically-referred youth exhibiting antisocial and aggressive behavior.…

  10. [Improvement of rosacea treatment based on the morphological and functional features of the skin].

    Science.gov (United States)

    Tsiskarishvili, N V; Katsitadze, A G; Tsiskarishvili, Ts I

    2013-10-01

    Rosacea - a widespread disease sometimes aleak with severe complications, mainly affecting the skin. Irrational and inadequate treatment leads to chronicity of diseases and psychosocial disadaptation of patients. Lately, a clear upward trend in the number of patients in whom in the process of complex treatment manifestations (with the varying degrees of severity) of impaired barrier function of the skin are observed and they need the protection and restoration of the damaged stratum corneum. In patients with rosacea in order to study the function of the facial skin's horny layer we used the skin analyzer BIA (bioimpedance analysis, which in duration of 6 seconds determines the moisture content, oiliness and the softness of the skin) and significant deviations from the norm (decrease in moisture content, fatness and increased roughness) was revealed. These changes were most clearly pronounced in patients with steroid rosacea. To restore the skin barrier the drug "Episofit A" (Laboratory of Evolutionary Dermatology, France) has been used (1-2 times a day for 6 weeks). Evaluation of treatment efficacy was conducted every 2 weeks by means of a scale from 0 to 5 for parameters of dryness, erythema, peeling and expression of subjective feelings. In accordance with received results, using of Episofit A emulsion, especially on the baсkground of long-term treatment with topical steroids, had a pronounced therapeutic effect. Thus, treatment of patients with consideration of morphological and functional features of facial skin, helps to improve the results traditional therapy, and the drug is highly effective means of the new direction in skin care - corneotherapy aimed to reconstruct and protect damaged stratum corneum.

  11. Psychopathy and the cinema: fact or fiction?

    Science.gov (United States)

    Leistedt, Samuel J; Linkowski, Paul

    2014-01-01

    The authors investigated the relationship between cinema and psychopathy to describe and analyze the portrayal of fictional psychopathic characters in popular films and over cinematic history. From 400 films (1915-2010), 126 fictional psychopathic characters (21 female and 105 male) were selected based on the realism and clinical accuracy of their profiles. Movies were then analyzed by senior forensic psychiatrists and cinema critics. Secondary (71%) and manipulative (48%) subtypes were the most common in the female group, while secondary (51%) and prototypical (34%) were the most common in the male group. Corresponding to the increased understanding of clinical psychopathy by professional mental health providers over time, the clinical description of and epidemiological data on fictional psychopaths in popular films have become more realistic. Realistic fictional psychopaths remain in the minority but are very important for didactic purposes in Academic facilities, as "teaching Movies." © 2013 American Academy of Forensic Sciences.

  12. Reduced TET2 function leads to T-cell lymphoma with follicular helper T-cell-like features in mice

    International Nuclear Information System (INIS)

    Muto, H; Sakata-Yanagimoto, M; Nagae, G; Shiozawa, Y; Miyake, Y; Yoshida, K; Enami, T; Kamada, Y; Kato, T; Uchida, K; Nanmoku, T; Obara, N; Suzukawa, K; Sanada, M; Nakamura, N; Aburatani, H; Ogawa, S; Chiba, S

    2014-01-01

    TET2 (Ten Eleven Translocation 2) is a dioxygenase that converts methylcytosine (mC) to hydroxymethylcytosine (hmC). TET2 loss-of-function mutations are highly frequent in subtypes of T-cell lymphoma that harbor follicular helper T (Tfh)-cell-like features, such as angioimmunoblastic T-cell lymphoma (30–83%) or peripheral T-cell lymphoma, not otherwise specified (10–49%), as well as myeloid malignancies. Here, we show that middle-aged Tet2 knockdown (Tet2 gt/gt ) mice exhibit Tfh-like cell overproduction in the spleen compared with control mice. The Tet2 knockdown mice eventually develop T-cell lymphoma with Tfh-like features after a long latency (median 67 weeks). Transcriptome analysis revealed that these lymphoma cells had Tfh-like gene expression patterns when compared with splenic CD4-positive cells of wild-type mice. The lymphoma cells showed lower hmC densities around the transcription start site (TSS) and higher mC densities at the regions of the TSS, gene body and CpG islands. These epigenetic changes, seen in Tet2 insufficiency-triggered lymphoma, possibly contributed to predated outgrowth of Tfh-like cells and subsequent lymphomagenesis. The mouse model described here suggests that TET2 mutations play a major role in the development of T-cell lymphoma with Tfh-like features in humans

  13. Boosting instance prototypes to detect local dermoscopic features.

    Science.gov (United States)

    Situ, Ning; Yuan, Xiaojing; Zouridakis, George

    2010-01-01

    Local dermoscopic features are useful in many dermoscopic criteria for skin cancer detection. We address the problem of detecting local dermoscopic features from epiluminescence (ELM) microscopy skin lesion images. We formulate the recognition of local dermoscopic features as a multi-instance learning (MIL) problem. We employ the method of diverse density (DD) and evidence confidence (EC) function to convert MIL to a single-instance learning (SIL) problem. We apply Adaboost to improve the classification performance with support vector machines (SVMs) as the base classifier. We also propose to boost the selection of instance prototypes through changing the data weights in the DD function. We validate the methods on detecting ten local dermoscopic features from a dataset with 360 images. We compare the performance of the MIL approach, its boosting version, and a baseline method without using MIL. Our results show that boosting can provide performance improvement compared to the other two methods.

  14. Adaptive feature selection using v-shaped binary particle swarm optimization.

    Science.gov (United States)

    Teng, Xuyang; Dong, Hongbin; Zhou, Xiurong

    2017-01-01

    Feature selection is an important preprocessing method in machine learning and data mining. This process can be used not only to reduce the amount of data to be analyzed but also to build models with stronger interpretability based on fewer features. Traditional feature selection methods evaluate the dependency and redundancy of features separately, which leads to a lack of measurement of their combined effect. Moreover, a greedy search considers only the optimization of the current round and thus cannot be a global search. To evaluate the combined effect of different subsets in the entire feature space, an adaptive feature selection method based on V-shaped binary particle swarm optimization is proposed. In this method, the fitness function is constructed using the correlation information entropy. Feature subsets are regarded as individuals in a population, and the feature space is searched using V-shaped binary particle swarm optimization. The above procedure overcomes the hard constraint on the number of features, enables the combined evaluation of each subset as a whole, and improves the search ability of conventional binary particle swarm optimization. The proposed algorithm is an adaptive method with respect to the number of feature subsets. The experimental results show the advantages of optimizing the feature subsets using the V-shaped transfer function and confirm the effectiveness and efficiency of the feature subsets obtained under different classifiers.

  15. Personality Disorder Features and Insomnia Status amongst Hypnotic-Dependent Adults

    Science.gov (United States)

    Ruiter, Megan E.; Lichstein, Kenneth L.; Nau, Sidney D.; Geyer, James

    2012-01-01

    Objective To determine the prevalence of personality disorders and their relation to insomnia parameters among persons with chronic insomnia with hypnotic dependence. Methods Eighty-four adults with chronic insomnia with hypnotic dependence completed the SCID-II personality questionnaire, two-weeks of sleep diaries, polysomnography, and measures of insomnia severity, impact, fatigue severity, depression, anxiety, and quality of life. Frequencies, between-subjects t-tests and hierarchical regression models were conducted. Results Cluster C personality disorders were most prevalent (50%). Obsessive-compulsive personality disorder (OCPD) was most common (n=39). These individuals compared to participants with no personality disorders did not differ in objective and subjective sleep parameters. Yet, they had poorer insomnia-related daytime functioning. OCPD and Avoidant personality disorders features were associated with poorer daytime functioning. OCPD features were related to greater fatigue severity, and overestimation of time awake was trending. Schizotypal and Schizoid features were positively associated with insomnia severity. Dependent personality disorder features were related to underestimating time awake. Conclusions Cluster C personality disorders were highly prevalent in patients with chronic insomnia with hypnotic dependence. Features of Cluster C and A personality disorders were variously associated with poorer insomnia-related daytime functioning, fatigue, and estimation of nightly wake-time. Future interventions may need to address these personality features. PMID:22938862

  16. Personality disorder features and insomnia status amongst hypnotic-dependent adults.

    Science.gov (United States)

    Ruiter, Megan E; Lichstein, Kenneth L; Nau, Sidney D; Geyer, James D

    2012-10-01

    To determine the prevalence of personality disorders and their relation to insomnia parameters among persons with chronic insomnia with hypnotic dependence. Eighty-four adults with chronic insomnia with hypnotic dependence completed the SCID-II personality questionnaire, two-weeks of sleep diaries, polysomnography, and measures of insomnia severity, impact, fatigue severity, depression, anxiety, and quality of life. Frequencies, between-subjects t-tests and hierarchical regression models were conducted. Cluster C personality disorders were most prevalent (50%). Obsessive-Compulsive personality disorder (OCPD) was most common (n=39). These individuals compared to participants with no personality disorders did not differ in objective and subjective sleep parameters. Yet, they had poorer insomnia-related daytime functioning. OCPD and Avoidant personality disorders features were associated with poorer daytime functioning. OCPD features were related to greater fatigue severity, and overestimation of time awake was trending. Schizotypal and Schizoid features were positively associated with insomnia severity. Dependent personality disorder features were related to underestimating time awake. Cluster C personality disorders were highly prevalent in patients with chronic insomnia with hypnotic dependence. Features of Cluster C and A personality disorders were variously associated with poorer insomnia-related daytime functioning, fatigue, and estimation of nightly wake-time. Future interventions may need to address these personality features. Copyright © 2012 Elsevier B.V. All rights reserved.

  17. Feature Extraction in Radar Target Classification

    Directory of Open Access Journals (Sweden)

    Z. Kus

    1999-09-01

    Full Text Available This paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT and Multiple Signal Characterisation (MUSIC, based on the detection of Doppler effect. The analysis has turned to the preference of DFT with implemented Hanning windowing function. We assumed to classify targets-vehicles into two classes, the wheeled vehicle and tracked vehicle. The results show that it is possible to classify them only while moving. The feature of the class results from a movement of moving parts of the vehicle. However, we have not found any feature to classify the wheeled and tracked vehicles while non-moving, although their engines are on.

  18. Annotation: Understanding the Development of Psychopathy

    Science.gov (United States)

    Viding, Essi

    2004-01-01

    Background: Psychopaths are not only antisocial, but also have a callous and unemotional personality profile. This article selectively reviews evidence that psychopathic personality traits are an important factor in understanding and predicting the development of persistent antisocial conduct. Cognitive neuroscience research and more tentative…

  19. Binding of multiple features in memory by high-functioning adults with autism spectrum disorder.

    Science.gov (United States)

    Bowler, Dermot M; Gaigg, Sebastian B; Gardiner, John M

    2014-09-01

    Diminished episodic memory and diminished use of semantic information to aid recall by individuals with autism spectrum disorder (ASD) are both thought to result from diminished relational binding of elements of complex stimuli. To test this hypothesis, we asked high-functioning adults with ASD and typical comparison participants to study grids in which some cells contained drawings of objects in non-canonical colours. Participants were told at study which features (colour, item, location) would be tested in a later memory test. In a second experiment, participants studied similar grids and were told that they would be tested on object-location or object-colour combinations. Recognition of combinations was significantly diminished in ASD, which survived covarying performance on the Color Trails Test (D'Elia et al. Color trails test. Professional manual. Psychological Assessment Resources, Lutz, 1996), a test of executive difficulties. The findings raise the possibility that medial temporal as well as frontal lobe processes are dysfunctional in ASD.

  20. Cell array-based intracellular localization screening reveals novel functional features of human chromosome 21 proteins

    Directory of Open Access Journals (Sweden)

    Kahlem Pascal

    2006-06-01

    Full Text Available Abstract Background Trisomy of human chromosome 21 (Chr21 results in Down's syndrome, a complex developmental and neurodegenerative disease. Molecular analysis of Down's syndrome, however, poses a particular challenge, because the aneuploid region of Chr21 contains many genes of unknown function. Subcellular localization of human Chr21 proteins may contribute to further understanding of the functions and regulatory mechanisms of the genes that code for these proteins. Following this idea, we used a transfected-cell array technique to perform a rapid and cost-effective analysis of the intracellular distribution of Chr 21 proteins. Results We chose 89 genes that were distributed over the majority of 21q, ranging from RBM11 (14.5 Mb to MCM3AP (46.6 Mb, with part of them expressed aberrantly in the Down's syndrome mouse model. Open reading frames of these genes were cloned into a mammalian expression vector with an amino-terminal His6 tag. All of the constructs were arrayed on glass slides and reverse transfected into HEK293T cells for protein expression. Co-localization detection using a set of organelle markers was carried out for each Chr21 protein. Here, we report the subcellular localization properties of 52 proteins. For 34 of these proteins, their localization is described for the first time. Furthermore, the alteration in cell morphology and growth as a result of protein over-expression for claudin-8 and claudin-14 genes has been characterized. Conclusion The cell array-based protein expression and detection approach is a cost-effective platform for large-scale functional analyses, including protein subcellular localization and cell phenotype screening. The results from this study reveal novel functional features of human Chr21 proteins, which should contribute to further understanding of the molecular pathology of Down's syndrome.

  1. Comparison of advanced mid-sized reactors regarding passive features, core damage frequencies and core melt retention features

    International Nuclear Information System (INIS)

    Wider, H.

    2005-01-01

    New Light Water Reactors, whose regular safety systems are complemented by passive safety systems, are ready for the market. The special aspect of passive safety features is their actuation and functioning independent of the operator. They add significantly to reduce the core damage frequency (CDF) since the operator continues to play its independent role in actuating the regular safety devices based on modern instrumentation and control (I and C). The latter also has passive features regarding the prevention of accidents. Two reactors with significant passive features that are presently offered on the market are the AP1000 PWR and the SWR 1000 BWR. Their passive features are compared and also their core damage frequencies (CDF). The latter are also compared with those of a VVER-1000. A further discussion about the two passive plants concerns their mitigating features for severe accidents. Regarding core-melt retention both rely on in-vessel cooling of the melt. The new VVER-1000 reactor, on the other hand features a validated ex-vessel concept. (author)

  2. Vocal Affect Recognition and Psychopathy: Converging Findings Across Traditional and Cluster Analytic Approaches to Assessing the Construct

    Science.gov (United States)

    Bagley, Amy D.; Abramowitz, Carolyn S.; Kosson, David S.

    2010-01-01

    Deficits in emotion processing have been widely reported to be central to psychopathy. However, few prior studies have examined vocal affect recognition in psychopaths, and these studies suffer from significant methodological limitations. Moreover, prior studies have yielded conflicting findings regarding the specificity of psychopaths’ affect recognition deficits. This study examined vocal affect recognition in 107 male inmates under conditions requiring isolated prosodic vs. semantic analysis of affective cues and compared subgroups of offenders identified via cluster analysis on vocal affect recognition. Psychopaths demonstrated deficits in vocal affect recognition under conditions requiring use of semantic cues and conditions requiring use of prosodic cues. Moreover, both primary and secondary psychopaths exhibited relatively similar emotional deficits in the semantic analysis condition compared to nonpsychopathic control participants. This study demonstrates that psychopaths’ vocal affect recognition deficits are not due to methodological limitations of previous studies and provides preliminary evidence that primary and secondary psychopaths exhibit generally similar deficits in vocal affect recognition. PMID:19413412

  3. Effect of MAOA promoter polymorphism and neuropsychological performance on psychopathy traits

    Directory of Open Access Journals (Sweden)

    C. Romero-Rebollar

    2015-01-01

    Discussion: These findings were according to the previous studies about abnormal emotional processing and behavioral inhibition failures reported in subjects with genetic risk for violence, as well as with studies about neuropsychological performance in psychopaths. Further the MAOA genotype moderates the relationship between orbitofrontal functioning and antisocial traits of psychopathy which is a risk factor for violence.

  4. Multiscale wavelet representations for mammographic feature analysis

    Science.gov (United States)

    Laine, Andrew F.; Song, Shuwu

    1992-12-01

    This paper introduces a novel approach for accomplishing mammographic feature analysis through multiresolution representations. We show that efficient (nonredundant) representations may be identified from digital mammography and used to enhance specific mammographic features within a continuum of scale space. The multiresolution decomposition of wavelet transforms provides a natural hierarchy in which to embed an interactive paradigm for accomplishing scale space feature analysis. Choosing wavelets (or analyzing functions) that are simultaneously localized in both space and frequency, results in a powerful methodology for image analysis. Multiresolution and orientation selectivity, known biological mechanisms in primate vision, are ingrained in wavelet representations and inspire the techniques presented in this paper. Our approach includes local analysis of complete multiscale representations. Mammograms are reconstructed from wavelet coefficients, enhanced by linear, exponential and constant weight functions localized in scale space. By improving the visualization of breast pathology we can improve the changes of early detection of breast cancers (improve quality) while requiring less time to evaluate mammograms for most patients (lower costs).

  5. Selecting protein families for environmental features based on manifold regularization.

    Science.gov (United States)

    Jiang, Xingpeng; Xu, Weiwei; Park, E K; Li, Guangrong

    2014-06-01

    Recently, statistics and machine learning have been developed to identify functional or taxonomic features of environmental features or physiological status. Important proteins (or other functional and taxonomic entities) to environmental features can be potentially used as biosensors. A major challenge is how the distribution of protein and gene functions embodies the adaption of microbial communities across environments and host habitats. In this paper, we propose a novel regularization method for linear regression to adapt the challenge. The approach is inspired by local linear embedding (LLE) and we call it a manifold-constrained regularization for linear regression (McRe). The novel regularization procedure also has potential to be used in solving other linear systems. We demonstrate the efficiency and the performance of the approach in both simulation and real data.

  6. Towards a social functional account of laughter: Acoustic features convey reward, affiliation, and dominance.

    Science.gov (United States)

    Wood, Adrienne; Martin, Jared; Niedenthal, Paula

    2017-01-01

    Recent work has identified the physical features of smiles that accomplish three tasks fundamental to human social living: rewarding behavior, establishing and managing affiliative bonds, and negotiating social status. The current work extends the social functional account to laughter. Participants (N = 762) rated the degree to which reward, affiliation, or dominance (between-subjects) was conveyed by 400 laughter samples acquired from a commercial sound effects website. Inclusion of a fourth rating dimension, spontaneity, allowed us to situate the current approach in the context of existing laughter research, which emphasizes the distinction between spontaneous and volitional laughter. We used 11 acoustic properties extracted from the laugh samples to predict participants' ratings. Actor sex moderated, and sometimes even reversed, the relation between acoustics and participants' judgments. Spontaneous laughter appears to serve the reward function in the current framework, as similar acoustic properties guided perceiver judgments of spontaneity and reward: reduced voicing and increased pitch, increased duration for female actors, and increased pitch slope, center of gravity, first formant, and noisiness for male actors. Affiliation ratings diverged from reward in their sex-dependent relationship to intensity and, for females, reduced pitch range and raised second formant. Dominance displayed the most distinct pattern of acoustic predictors, including increased pitch range, reduced second formant in females, and decreased pitch variability in males. We relate the current findings to existing findings on laughter and human and non-human vocalizations, concluding laughter can signal much more that felt or faked amusement.

  7. New Similarity Functions

    DEFF Research Database (Denmark)

    Yazdani, Hossein; Ortiz-Arroyo, Daniel; Kwasnicka, Halina

    2016-01-01

    spaces, in addition to their similarity in the vector space. Prioritized Weighted Feature Distance (PWFD) works similarly as WFD, but provides the ability to give priorities to desirable features. The accuracy of the proposed functions are compared with other similarity functions on several data sets....... Our results show that the proposed functions work better than other methods proposed in the literature....

  8. Unveiling network-based functional features through integration of gene expression into protein networks.

    Science.gov (United States)

    Jalili, Mahdi; Gebhardt, Tom; Wolkenhauer, Olaf; Salehzadeh-Yazdi, Ali

    2018-06-01

    Decoding health and disease phenotypes is one of the fundamental objectives in biomedicine. Whereas high-throughput omics approaches are available, it is evident that any single omics approach might not be adequate to capture the complexity of phenotypes. Therefore, integrated multi-omics approaches have been used to unravel genotype-phenotype relationships such as global regulatory mechanisms and complex metabolic networks in different eukaryotic organisms. Some of the progress and challenges associated with integrated omics studies have been reviewed previously in comprehensive studies. In this work, we highlight and review the progress, challenges and advantages associated with emerging approaches, integrating gene expression and protein-protein interaction networks to unravel network-based functional features. This includes identifying disease related genes, gene prioritization, clustering protein interactions, developing the modules, extract active subnetworks and static protein complexes or dynamic/temporal protein complexes. We also discuss how these approaches contribute to our understanding of the biology of complex traits and diseases. This article is part of a Special Issue entitled: Cardiac adaptations to obesity, diabetes and insulin resistance, edited by Professors Jan F.C. Glatz, Jason R.B. Dyck and Christine Des Rosiers. Copyright © 2018 Elsevier B.V. All rights reserved.

  9. Specific Features of Functioning of the Corporate Tax Management

    Directory of Open Access Journals (Sweden)

    Tkachyk Lesya P.

    2013-12-01

    Full Text Available The article identifies and reveals the essence of functional elements of corporate tax management, which are tax planning, tax analysis, tax accounting and reporting, tax control and tax monitoring. The article builds a functional model of corporate tax management that reflects interaction of its functional elements in the process of realisation of tax activity of economic subjects. Pursuant to this model, the corporate tax management is conducted in several stages, namely: development of alternative variants of tax activity, analysis of alternative variants of tax activity, selection of the optimal variant of tax activity, realisation of tax activity, control over realisation of tax activity and development of measures of increase of efficiency of tax management. Application of the functional model of corporate tax management, which envisages use of all instruments, allows optimisation of tax payments of economic subjects.

  10. Executive Function Features in Drug-naive Children with Oppositional Defiant Disorder.

    Science.gov (United States)

    Xu, Manfei; Jiang, Wenqing; DU, Yasong; Li, Yan; Fan, Juan

    2017-08-25

    Oppositional defiant disorder (ODD) that is characterized by markedly defiant, disobedient, and disruptive behavior in younger children has been regarded as disruptive behavior disorder (DBD), together with conduct disorder (CD). However, in contrast to CD, ODD does not include severe aggressive or antisocial behavior. This study aimed to examine executive function (EF) features of children with oppositional defiant disorder (ODD). Cross sectional design was used in this study. The EF of children with ODD and pure attention deficit hyperactivity disorder (ADHD) were compared with children without a psychiatric disorder, using the Stroop Color-Word Tests A and B, Wechsler Intelligence Scale for Children (Fourth Edition; WISC-IV), Wisconsin Card Sorting Test (WCST), and Cambridge Neuropsychological Test Automated Battery (CANTAB) corrected for age. Logistic regression analysis was conducted to identify risk factors for EF deficits characteristic of ODD and ADHD. The ODD group exhibited significantly lower scores in both Stroop Color-Word Tests, the backwards digital span of the WISC-IV, and the categories completed and perseverative responses of the WCST, and significantly higher scores in spatial working memory (SWM) between errors, and the strategy in SWM of the CANTAB compared with the control group. When the ODD group was designated as 1 and the ADHD group was designated as 0, digital span (X1) fit the regression equation very well. Children with ODD perform substantially worse in EF tasks. Responsive inhibition appears to be uniquely associated with ODD development, while responsive inhibition and working memory appear to be associated with ADHD.

  11. A Method to Measure the Bracelet Based on Feature Energy

    Science.gov (United States)

    Liu, Hongmin; Li, Lu; Wang, Zhiheng; Huo, Zhanqiang

    2017-12-01

    To measure the bracelet automatically, a novel method based on feature energy is proposed. Firstly, the morphological method is utilized to preprocess the image, and the contour consisting of a concentric circle is extracted. Then, a feature energy function, which is relevant to the distances from one pixel to the edge points, is defined taking into account the geometric properties of the concentric circle. The input image is subsequently transformed to the feature energy distribution map (FEDM) by computing the feature energy of each pixel. The center of the concentric circle is thus located by detecting the maximum on the FEDM; meanwhile, the radii of the concentric circle are determined according to the feature energy function of the center pixel. Finally, with the use of a calibration template, the internal diameter and thickness of the bracelet are measured. The experimental results show that the proposed method can measure the true sizes of the bracelet accurately with the simplicity, directness and robustness compared to the existing methods.

  12. Functional features of gene expression profiles differentiating gastrointestinal stromal tumours according to KIT mutations and expression

    International Nuclear Information System (INIS)

    Ostrowski, Jerzy; Dobosz, Anna Jerzak Vel; Jarosz, Dorota; Ruka, Wlodzimierz; Wyrwicz, Lucjan S; Polkowski, Marcin; Paziewska, Agnieszka; Skrzypczak, Magdalena; Goryca, Krzysztof; Rubel, Tymon; Kokoszyñska, Katarzyna; Rutkowski, Piotr; Nowecki, Zbigniew I

    2009-01-01

    Gastrointestinal stromal tumours (GISTs) represent a heterogeneous group of tumours of mesenchymal origin characterized by gain-of-function mutations in KIT or PDGFRA of the type III receptor tyrosine kinase family. Although mutations in either receptor are thought to drive an early oncogenic event through similar pathways, two previous studies reported the mutation-specific gene expression profiles. However, their further conclusions were rather discordant. To clarify the molecular characteristics of differentially expressed genes according to GIST receptor mutations, we combined microarray-based analysis with detailed functional annotations. Total RNA was isolated from 29 frozen gastric GISTs and processed for hybridization on GENECHIP ® HG-U133 Plus 2.0 microarrays (Affymetrix). KIT and PDGFRA were analyzed by sequencing, while related mRNA levels were analyzed by quantitative RT-PCR. Fifteen and eleven tumours possessed mutations in KIT and PDGFRA, respectively; no mutation was found in three tumours. Gene expression analysis identified no discriminative profiles associated with clinical or pathological parameters, even though expression of hundreds of genes differentiated tumour receptor mutation and expression status. Functional features of genes differentially expressed between the two groups of GISTs suggested alterations in angiogenesis and G-protein-related and calcium signalling. Our study has identified novel molecular elements likely to be involved in receptor-dependent GIST development and allowed confirmation of previously published results. These elements may be potential therapeutic targets and novel markers of KIT mutation status

  13. Microscopic nucleon spectral function for finite nuclei featuring two- and three-nucleon short-range correlations: The model versus ab initio calculations for three-nucleon systems

    Science.gov (United States)

    Ciofi degli Atti, Claudio; Mezzetti, Chiara Benedetta; Morita, Hiko

    2017-04-01

    Background: Two-nucleon (2 N ) short-range correlations (SRC) in nuclei have been recently thoroughly investigated, both theoretically and experimentally and the study of three-nucleon (3 N ) SRC, which could provide important information on short-range hadronic structure, is underway. Novel theoretical ideas concerning 2 N and 3 N SRC are put forward in the present paper. Purpose: The general features of a microscopic one-nucleon spectral function which includes the effects of both 2 N and 3 N SRC and its comparison with ab initio spectral functions of the three-nucleon systems are illustrated. Methods: A microscopic and parameter-free one-nucleon spectral function expressed in terms of a convolution integral involving ab initio relative and center-of-mass (c.m.) momentum distributions of a 2 N pair and aimed at describing two- and three-nucleon short-range correlations, is obtained by using: (i) the two-nucleon momentum distributions obtained within ab initio approaches based upon nucleon-nucleon interactions of the Argonne family; (ii) the exact relation between one- and two-nucleon momentum distributions; (iii) the fundamental property of factorization of the nuclear wave function at short internucleon ranges. Results: The comparison between the ab initio spectral function of 3He and the one based upon the convolution integral shows that when the latter contains only two-nucleon short-range correlations the removal energy location of the peaks and the region around them exhibited by the ab initio spectral function are correctly predicted, unlike the case of the high and low removal energy tails; the inclusion of the effects of three-nucleon correlations brings the convolution model spectral function in much better agreement with the ab initio one; it is also found that whereas the three-nucleon short-range correlations dominate the high energy removal energy tail of the spectral function, their effects on the one-nucleon momentum distribution are almost one

  14. The Features of the Architectonic of Financial System

    Directory of Open Access Journals (Sweden)

    Bondarenko Olena S.

    2017-10-01

    Full Text Available The article is aimed at substantiating the features of function of a contemporary financial system of the State together with the need to develop its architectonic, taking into consideration the functions and objectives of socio-economic development. The features of function of the current financial system of Ukraine have been disclosed. The main factors of influence have been defined and the need to develop new approaches to the management of the components of financial system has been proven. The essence and feasibility of building the architectonic of financial system have been substantiated, the main directions of practical implementation have been characterized. Prospects for further research are developing a mechanism for building the architectonic of financial system and creating an efficient management instrumentarium for managing its components.

  15. Features of real-time systems

    OpenAIRE

    Зинченко, Сергей Валериевич; Зинченко, Валерий Петрович

    2017-01-01

    The purpose of the work is to analyze the features and functioning of the RTS, RT operating systems (RTOS) and the development of applied programs (AP) for RTS; RTS standards; characteristics and analysis of the RTOS; problems of extensions of RT based on Linux and Windows.The main differences between the RTOS and the general purpose OS are shown: the main task is to have time to react to events at the site; an RTOS is a tool for creating a specific SRT. The following characteristic functions...

  16. Clinical features of functional somatic symptoms in children and referral patterns to child and adolescent mental health services

    DEFF Research Database (Denmark)

    Tøt-Strate, Simone; Dehlholm-Lambertsen, Gitte; Lassen, Karin

    2016-01-01

    AIM: Functional somatic symptoms (FSS) are common in paediatric patients who are referred to Child and Adolescent Mental Health Service (CAMHS), but little is known about current referral practices. The aim of this study was to systematically investigate clinical features of paediatric inpatients...... who had been referred and 44 children who had not. RESULTS: Most paediatric records lacked information on psychosocial factors and symptoms. Referred children were significantly more multisymptomatic of FSS (p controls, had longer symptom duration, underwent more clinical...... reasons were generally vague and psychosocial information was frequently missing. Clinical guidelines are needed to improve and systematise mental health referrals for children with FSS....

  17. A Review of Personality Measurement in Aircrew Selection.

    Science.gov (United States)

    1988-07-01

    hypochondriasis , b) psychopathic deviate, c) neuroticism, d) manifest anxiety, e) antisocial, f) depression, and g) hysteria. Significant correlations ranged from... hypochondriasis , depression, hysteria, psychopathic personality, masculinity-femininity, paranoia, psychasthenia, schizophrenia, hypomauia, and social...that the successful pilot is relatively free from, or tends to deny, somatic complaints or symptoms that are characteristic of maladjusted individuals

  18. An Assessment of Oral and Maxillofacial Vietnam War Casualties 10-15 Years Post-Injury.

    Science.gov (United States)

    1986-12-20

    the Depression (D) and Schizophrenia (Sc) scales. Furthermore, there are borderline elevations on the Hypochondriasis , Psychopathic Deviate and...Hysteria, Psychopathic Deviate, and Schizophrenia are the scales with frequent clinical elevations, with Hypochondriasis , Depression, Psychasthenia, and...hypomanic patients, exces- sive somatic complaints and depression. Twenty-three subjects reported very significant patterns of psychopathology. They had

  19. Features of History, Anthropometric Data and Individual Functions of the Liver in Children with Prolonged Jaundice

    Directory of Open Access Journals (Sweden)

    O.V. Tyajka

    2016-11-01

    Full Text Available Background. Neonatal jaundice is one of the urgent problems in neonatology. There is a tendency to increase the incidence of prolonged jaundice. The aim of our study was to explore the features of history, anthropometric data and some liver functions in children with prolonged jaundice. Materials and methods. The study involved 111 children with prolonged jaundice aged from 3 weeks to 3 months. In all children with prolonged jaundice, we have examined complete blood count, urinalysis, blood chemistry (determination of total bilirubin and fractions, total protein, albumin, glucose and used instrumental methods of examination — ultrasound of the abdominal cavity and cranial ultrasonography, electrocardiography. Most children with prolonged jaundice were breastfed and were term infants. Results. Indicators of physical development at birth (body weight, body length, head circumference, chest circumference in children with prolonged jaundice and in healthy children had not statistically significant differences. Neonatal jaundice was prolonged in children, who were born from the first pregnancy, — 60 children (54.1 %. A high level of total and indirect bilirubin was accompanied by a low level of albumin in the blood serum of children with prolonged jaundice. Protein-synthesis function of the liver was reduced in children with prolonged jaundice.

  20. The Development of Explicit Memory for Basic Perceptual Features.

    Science.gov (United States)

    Gulya, Michelle; Rossi-George, Alba; Hartshorn, Kristen; Vieira, Aurora; Rovee-Collier, Carolyn; Johnson, Marcia K.; Chalfonte, Barbara L.

    2002-01-01

    Three experiments with 164 individuals between 4 and 80 years old examined age-related changes in explicit memory for three perceptual features: item identity, color, and location. Findings indicated that performance on explicit memory tests was not a consistent inverted U-shaped function of age across various features, but depended on the…

  1. Longitudinal Study of Sensory Features in Children with Autism Spectrum Disorder

    Directory of Open Access Journals (Sweden)

    Lucia Perez Repetto

    2017-01-01

    Full Text Available Background. Between 45 and 95% of children with Autism Spectrum Disorder (ASD present sensory features that affect their daily functioning. However, the data in the scientific literature are not conclusive regarding the evolution of sensory features in children with ASD. The main objective of this study was to analyze the sensory features of children within the age of 3-4 (T1 when they received their ASD diagnosis and two years later (T2 when they started school. Methods. We conducted a prospective cohort study to assess sensory features in 34 children with ASD over time. The data were collected using a standardized assessment tool, the Sensory Profile. Results. Our analyses show that sensory features in children with ASD are stable from the age of three to six years. The stability of sensory scores is independent of correction by covariates, such as cognitive level and autism severity scores. Conclusions. Children with ASD have sensory features that persist from the time of diagnosis at the age of 3 to 4 years to school age. This persistence of sensory features from an early age underscores the need to support these children and their parents. Sensory features should be detected early and managed to improve functional and psychosocial outcomes.

  2. Local changes of work function near rough features on Cu surfaces operated under high external electric field

    Energy Technology Data Exchange (ETDEWEB)

    Djurabekova, Flyura, E-mail: flyura.djurabekova@helsinki.fi; Ruzibaev, Avaz; Parviainen, Stefan [Helsinki Institute of Physics and Department of Physics, University of Helsinki, P.O. Box 43, FI-00014 Helsinki (Finland); Holmström, Eero [Department of Physics, University of Helsinki, P.O. Box 64, FIN-00014 Helsinki (Finland); Department of Earth Sciences, Faculty of Maths and Physical Sciences, UCL Earth Sciences, Gower Street, London WC1E 6BT (United Kingdom); Hakala, Mikko [Department of Physics, University of Helsinki, P.O. Box 64, FIN-00014 Helsinki (Finland)

    2013-12-28

    Metal surfaces operated under high electric fields produce sparks even if they are held in ultra high vacuum. In spite of extensive research on the topic of vacuum arcs, the mystery of vacuum arc origin still remains unresolved. The indications that the sparking rates depend on the material motivate the research on surface response to extremely high external electric fields. In this work by means of density-functional theory calculations we analyze the redistribution of electron density on (100) Cu surfaces due to self-adatoms and in presence of high electric fields from −1 V/nm up to −2 V/nm (−1 to −2 GV/m, respectively). We also calculate the partial charge induced by the external field on a single adatom and a cluster of two adatoms in order to obtain reliable information on charge redistribution on surface atoms, which can serve as a benchmarking quantity for the assessment of the electric field effects on metal surfaces by means of molecular dynamics simulations. Furthermore, we investigate the modifications of work function around rough surface features, such as step edges and self-adatoms.

  3. Toxicological features of maleilated polyflavonoids from Pinus radiata (D. Don.) as potential functional additives for biomaterials design.

    Science.gov (United States)

    García, Danny E; Medina, Paulina A; Zúñiga, Valentina I

    2017-11-01

    Polyflavonoids from Pinus radiata (D. Don.) are an abundant natural oligomers highly desirable as renewable chemicals. However, structural modification of polyflavonoids is a viable strategy in order to use such polyphenols as macrobuilding-blocks for biomaterial design. Polyflavonoids were esterified with three five-member cyclic anhydrides (maleic, itaconic, and citraconic) at 20 °C during 24 h in order to diversify physicochemical-, and biological-properties for agricultural, and food-packaging applications. In addition, the influence of the chemical modification, as well as the chemical structure of the grafting on toxicological features was evaluated. Structural features of derivatives were analyzed by spectroscopy (FT-IR and 1 H-NMR), and the degree of substitution was calculated. Toxicological profile was assessed by using three target species in a wide range of concentration (0.01-100 mgL - 1 ). Effect of polyflavonoids on the growth rate (Selenastrum capricornutum), mortality (Daphnia magna), and germination and radicle length (Lactuca sativa) was determined. Chemical modification affects the toxicological profile on the derivatives in a high extent. Results described remarkable differences in function of the target specie. The bioassays indicate differences of the polyflavonoids toxicological profile associated to the chemical structure of the grafting. Results allowed conclude that polyflavonoids from pine bark show slight toxic properties. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. ECOLOGICAL FEATURES OF FUNCTIONAL AND PLANNING STRUCTURE OF MEDIUM- AND SMALL-SIZED CITIES AT THE SOUTHERN FAR EAST (EXEMPLIFIED BY BIROBIDZHAN

    Directory of Open Access Journals (Sweden)

    V. B. Kalmanova

    2016-01-01

    Full Text Available With account of perspective tendencies of formation and development of the cities at the southern part of the Russian Far East, and the formation of their ecological stability, the functional and planning structure for determining the landscaping of the urban land is analyzed. Historical mechanisms of the functional and planning structure forming in Birobidzhan are examined. Its main environmental features are analysed. Approaches to formation of the ecologically stable residential environment are described taking into account actual tasks of an urban development. The ratio of the built-up and undeveloped land, presence of green zones and sanitary buffer are the main indicators of ecologican stability of the residential environment. Effective usage of urban land is proposed.

  5. Cognitive control deficits associated with antisocial personality disorder and psychopathy.

    Science.gov (United States)

    Zeier, Joshua D; Baskin-Sommers, Arielle R; Hiatt Racer, Kristina D; Newman, Joseph P

    2012-07-01

    Antisociality has been linked to a variety of executive functioning deficits, including poor cognitive control. Surprisingly, cognitive control deficits are rarely found in psychopathic individuals, despite their notoriously severe and persistent antisocial behavior. In fact, primary (low-anxious) psychopathic individuals display superior performance on cognitive control-type tasks under certain circumstances. To clarify these seemingly contradictory findings, we administered a response competition (i.e., flanker) task to incarcerated offenders, who were assessed for Antisocial Personality Disorder (APD) symptoms and psychopathy. As hypothesized, APD related to poorer accuracy, especially on incongruent trials. Contrary to expectation, however, the same pattern of results was found in psychopathy. Additional analyses indicated that these effects of APD and psychopathy were associated with overlapping variance. The findings suggest that psychopathy and APD symptoms are both associated with deficits in cognitive control, and that this deficit relates to general antisociality as opposed to a specific antisocial syndrome. PsycINFO Database Record (c) 2012 APA, all rights reserved.

  6. DCTNet and PCANet for acoustic signal feature extraction

    OpenAIRE

    Xian, Yin; Thompson, Andrew; Sun, Xiaobai; Nowacek, Douglas; Nolte, Loren

    2016-01-01

    We introduce the use of DCTNet, an efficient approximation and alternative to PCANet, for acoustic signal classification. In PCANet, the eigenfunctions of the local sample covariance matrix (PCA) are used as filterbanks for convolution and feature extraction. When the eigenfunctions are well approximated by the Discrete Cosine Transform (DCT) functions, each layer of of PCANet and DCTNet is essentially a time-frequency representation. We relate DCTNet to spectral feature representation method...

  7. Psychological Problems of Non-psychopathic Patients in General Hospital and Preventions%非精神科患者常见心理问题与纠纷防范

    Institute of Scientific and Technical Information of China (English)

    段力萨; 韩晨光; 李玉明; 冯俊敏; 徐磊

    2013-01-01

    Non -psychopathic patients with anxiety , depression and personality disorder tend to cause medical disputes in clinic , who with paranoid and antisocial type of personality disorder more easily tend to cause violence against doctors .Attending physician should pay more attention to the communication skills and humanistic concern to patients with psychological problems , according to whose psychological status to choose different kinds of treatment options such as crisis monitoring , intervention , psychological consultation , referral to prevent severe med-ical disputes .%临床上非精神科患者出现焦虑、抑郁、人格障碍时容易引发医疗纠纷,其中偏执型人格和反社会型人格易发生极端、暴力行为,主诊医师应在注重医患沟通技巧和人文关怀的同时,对患者的心理状况做出准确评估,视情况给予心理危机干预、常态监测、心理咨询或药物治疗,必要时转介至精神科施以专科规范化治疗,有效防范重大医疗纠纷。

  8. Unconscious analyses of visual scenes based on feature conjunctions.

    Science.gov (United States)

    Tachibana, Ryosuke; Noguchi, Yasuki

    2015-06-01

    To efficiently process a cluttered scene, the visual system analyzes statistical properties or regularities of visual elements embedded in the scene. It is controversial, however, whether those scene analyses could also work for stimuli unconsciously perceived. Here we show that our brain performs the unconscious scene analyses not only using a single featural cue (e.g., orientation) but also based on conjunctions of multiple visual features (e.g., combinations of color and orientation information). Subjects foveally viewed a stimulus array (duration: 50 ms) where 4 types of bars (red-horizontal, red-vertical, green-horizontal, and green-vertical) were intermixed. Although a conscious perception of those bars was inhibited by a subsequent mask stimulus, the brain correctly analyzed the information about color, orientation, and color-orientation conjunctions of those invisible bars. The information of those features was then used for the unconscious configuration analysis (statistical processing) of the central bars, which induced a perceptual bias and illusory feature binding in visible stimuli at peripheral locations. While statistical analyses and feature binding are normally 2 key functions of the visual system to construct coherent percepts of visual scenes, our results show that a high-level analysis combining those 2 functions is correctly performed by unconscious computations in the brain. (c) 2015 APA, all rights reserved).

  9. A Polygon and Point-Based Approach to Matching Geospatial Features

    Directory of Open Access Journals (Sweden)

    Juan J. Ruiz-Lendínez

    2017-12-01

    Full Text Available A methodology for matching bidimensional entities is presented in this paper. The matching is proposed for both area and point features extracted from geographical databases. The procedure used to obtain homologous entities is achieved in a two-step process: The first matching, polygon to polygon matching (inter-element matching, is obtained by means of a genetic algorithm that allows the classifying of area features from two geographical databases. After this, we apply a point to point matching (intra-element matching based on the comparison of changes in their turning functions. This study shows that genetic algorithms are suitable for matching polygon features even if these features are quite different. Our results show up to 40% of matched polygons with differences in geometrical attributes. With regards to point matching, the vertex from homologous polygons, the function and threshold values proposed in this paper show a useful method for obtaining precise vertex matching.

  10. Novel Mahalanobis-based feature selection improves one-class classification of early hepatocellular carcinoma.

    Science.gov (United States)

    Thomaz, Ricardo de Lima; Carneiro, Pedro Cunha; Bonin, João Eliton; Macedo, Túlio Augusto Alves; Patrocinio, Ana Claudia; Soares, Alcimar Barbosa

    2018-05-01

    Detection of early hepatocellular carcinoma (HCC) is responsible for increasing survival rates in up to 40%. One-class classifiers can be used for modeling early HCC in multidetector computed tomography (MDCT), but demand the specific knowledge pertaining to the set of features that best describes the target class. Although the literature outlines several features for characterizing liver lesions, it is unclear which is most relevant for describing early HCC. In this paper, we introduce an unconstrained GA feature selection algorithm based on a multi-objective Mahalanobis fitness function to improve the classification performance for early HCC. We compared our approach to a constrained Mahalanobis function and two other unconstrained functions using Welch's t-test and Gaussian Data Descriptors. The performance of each fitness function was evaluated by cross-validating a one-class SVM. The results show that the proposed multi-objective Mahalanobis fitness function is capable of significantly reducing data dimensionality (96.4%) and improving one-class classification of early HCC (0.84 AUC). Furthermore, the results provide strong evidence that intensity features extracted at the arterial to portal and arterial to equilibrium phases are important for classifying early HCC.

  11. GFP-like proteins as ubiquitous metazoan superfamily: evolution of functional features and structural complexity.

    Science.gov (United States)

    Shagin, Dmitry A; Barsova, Ekaterina V; Yanushevich, Yurii G; Fradkov, Arkady F; Lukyanov, Konstantin A; Labas, Yulii A; Semenova, Tatiana N; Ugalde, Juan A; Meyers, Ann; Nunez, Jose M; Widder, Edith A; Lukyanov, Sergey A; Matz, Mikhail V

    2004-05-01

    Homologs of the green fluorescent protein (GFP), including the recently described GFP-like domains of certain extracellular matrix proteins in Bilaterian organisms, are remarkably similar at the protein structure level, yet they often perform totally unrelated functions, thereby warranting recognition as a superfamily. Here we describe diverse GFP-like proteins from previously undersampled and completely new sources, including hydromedusae and planktonic Copepoda. In hydromedusae, yellow and nonfluorescent purple proteins were found in addition to greens. Notably, the new yellow protein seems to follow exactly the same structural solution to achieving the yellow color of fluorescence as YFP, an engineered yellow-emitting mutant variant of GFP. The addition of these new sequences made it possible to resolve deep-level phylogenetic relationships within the superfamily. Fluorescence (most likely green) must have already existed in the common ancestor of Cnidaria and Bilateria, and therefore GFP-like proteins may be responsible for fluorescence and/or coloration in virtually any animal. At least 15 color diversification events can be inferred following the maximum parsimony principle in Cnidaria. Origination of red fluorescence and nonfluorescent purple-blue colors on several independent occasions provides a remarkable example of convergent evolution of complex features at the molecular level.

  12. Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method.

    Science.gov (United States)

    Guo, Xinyu; Dominick, Kelli C; Minai, Ali A; Li, Hailong; Erickson, Craig A; Lu, Long J

    2017-01-01

    The whole-brain functional connectivity (FC) pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD) by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were widely distributed throughout the entire brain rather than only in some specific brain regions. Deep neural networks (DNN) with multiple hidden layers have shown the ability to systematically extract lower-to-higher level information from high dimensional data across a series of neural hidden layers, significantly improving classification accuracy for such data. In this study, a DNN with a novel feature selection method (DNN-FS) is developed for the high dimensional whole-brain resting-state FC pattern classification of ASD patients vs. typical development (TD) controls. The feature selection method is able to help the DNN generate low dimensional high-quality representations of the whole-brain FC patterns by selecting features with high discriminating power from multiple trained sparse auto-encoders. For the comparison, a DNN without the feature selection method (DNN-woFS) is developed, and both of them are tested with different architectures (i.e., with different numbers of hidden layers/nodes). Results show that the best classification accuracy of 86.36% is generated by the DNN-FS approach with 3 hidden layers and 150 hidden nodes (3/150). Remarkably, DNN-FS outperforms DNN-woFS for all architectures studied. The most significant accuracy improvement was 9.09% with the 3/150 architecture. The method also outperforms other feature selection methods, e.g., two sample t -test and elastic net. In addition to improving the classification accuracy, a Fisher's score-based biomarker identification method based on the DNN is also developed, and used to identify 32 FCs related to ASD. These FCs come from or cross different pre

  13. Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method

    Directory of Open Access Journals (Sweden)

    Xinyu Guo

    2017-08-01

    Full Text Available The whole-brain functional connectivity (FC pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were widely distributed throughout the entire brain rather than only in some specific brain regions. Deep neural networks (DNN with multiple hidden layers have shown the ability to systematically extract lower-to-higher level information from high dimensional data across a series of neural hidden layers, significantly improving classification accuracy for such data. In this study, a DNN with a novel feature selection method (DNN-FS is developed for the high dimensional whole-brain resting-state FC pattern classification of ASD patients vs. typical development (TD controls. The feature selection method is able to help the DNN generate low dimensional high-quality representations of the whole-brain FC patterns by selecting features with high discriminating power from multiple trained sparse auto-encoders. For the comparison, a DNN without the feature selection method (DNN-woFS is developed, and both of them are tested with different architectures (i.e., with different numbers of hidden layers/nodes. Results show that the best classification accuracy of 86.36% is generated by the DNN-FS approach with 3 hidden layers and 150 hidden nodes (3/150. Remarkably, DNN-FS outperforms DNN-woFS for all architectures studied. The most significant accuracy improvement was 9.09% with the 3/150 architecture. The method also outperforms other feature selection methods, e.g., two sample t-test and elastic net. In addition to improving the classification accuracy, a Fisher's score-based biomarker identification method based on the DNN is also developed, and used to identify 32 FCs related to ASD. These FCs come from or cross

  14. Shapes and features of the primordial bispectrum

    Energy Technology Data Exchange (ETDEWEB)

    Gong, Jinn-Ouk [Asia Pacific Center for Theoretical Physics, Cheongam-ro 67, Pohang, 37673 (Korea, Republic of); Palma, Gonzalo A.; Sypsas, Spyros, E-mail: jinn-ouk.gong@apctp.org, E-mail: gpalmaquilod@ing.uchile.cl, E-mail: s.sypsas@gmail.com [Departamento de Física, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, 837.0415 Chile (Chile)

    2017-05-01

    If time-dependent disruptions from slow-roll occur during inflation, the correlation functions of the primordial curvature perturbation should have scale-dependent features, a case which is marginally supported from the cosmic microwave background (CMB) data. We offer a new approach to analyze the appearance of such features in the primordial bispectrum that yields new consistency relations and justifies the search of oscillating patterns modulated by orthogonal and local templates. Under the assumption of sharp features, we find that the cubic couplings of the curvature perturbation can be expressed in terms of the bispectrum in two specific momentum configurations, for example local and equilateral. This allows us to derive consistency relations among different bispectrum shapes, which in principle could be tested in future CMB surveys. Furthermore, based on the form of the consistency relations, we construct new two-parameter templates for features that include all the known shapes.

  15. Breast Cancer Detection with Reduced Feature Set

    Directory of Open Access Journals (Sweden)

    Ahmet Mert

    2015-01-01

    Full Text Available This paper explores feature reduction properties of independent component analysis (ICA on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC dataset is reduced to one-dimensional feature vector computing an independent component (IC. The original data with 30 features and reduced one feature (IC are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN, artificial neural network (ANN, radial basis function neural network (RBFNN, and support vector machine (SVM. The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations and partitioning (20%–40% methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden’s index, discriminant power, and the receiver operating characteristic (ROC curve with its criterion values including area under curve (AUC and 95% confidential interval (CI. This represents an improvement in diagnostic decision support system, while reducing computational complexity.

  16. Novel spectral features of nanoelectromechanical systems

    KAUST Repository

    Tahir, M.

    2014-02-17

    Electron transport through a quantum dot or single molecule coupled to a quantum oscillator is studied by the Keldysh nonequilibrium Green\\'s function formalism to obtain insight into the quantum dynamics of the electronic and oscillator degrees of freedom. We tune the electronic level of the quantum dot by a gate voltage, where the leads are kept at zero temperature. Due to the nonequilibrium distribution of the electrons in the quantum dot, the spectral function becomes a function of the gate voltage. Novel spectral features are identified for the ground and excited states of nanomechanical oscillators that can be used to enhance the measurement sensitivity.

  17. The Violent Islamic Radicalization Process: A Framework for Understanding

    Science.gov (United States)

    2011-12-01

    on the false premise that terrorists are psychopaths or sociopaths has been reviewed and repeatedly refuted (Shaw, 1986). Other experts view...behavior” (Moghaddam, 2006). Overwhelming research concludes that terrorists do not typically appear to be psychopaths or sociopaths . Conversely...terrorism is due to psychopathology, sociopathic or mental illness (Post, 1990), other researchers view radicalization as a by-product of group

  18. Effective automated feature construction and selection for classification of biological sequences.

    Directory of Open Access Journals (Sweden)

    Uday Kamath

    Full Text Available Many open problems in bioinformatics involve elucidating underlying functional signals in biological sequences. DNA sequences, in particular, are characterized by rich architectures in which functional signals are increasingly found to combine local and distal interactions at the nucleotide level. Problems of interest include detection of regulatory regions, splice sites, exons, hypersensitive sites, and more. These problems naturally lend themselves to formulation as classification problems in machine learning. When classification is based on features extracted from the sequences under investigation, success is critically dependent on the chosen set of features.We present an algorithmic framework (EFFECT for automated detection of functional signals in biological sequences. We focus here on classification problems involving DNA sequences which state-of-the-art work in machine learning shows to be challenging and involve complex combinations of local and distal features. EFFECT uses a two-stage process to first construct a set of candidate sequence-based features and then select a most effective subset for the classification task at hand. Both stages make heavy use of evolutionary algorithms to efficiently guide the search towards informative features capable of discriminating between sequences that contain a particular functional signal and those that do not.To demonstrate its generality, EFFECT is applied to three separate problems of importance in DNA research: the recognition of hypersensitive sites, splice sites, and ALU sites. Comparisons with state-of-the-art algorithms show that the framework is both general and powerful. In addition, a detailed analysis of the constructed features shows that they contain valuable biological information about DNA architecture, allowing biologists and other researchers to directly inspect the features and potentially use the insights obtained to assist wet-laboratory studies on retainment or modification

  19. A Ruby API to query the Ensembl database for genomic features.

    Science.gov (United States)

    Strozzi, Francesco; Aerts, Jan

    2011-04-01

    The Ensembl database makes genomic features available via its Genome Browser. It is also possible to access the underlying data through a Perl API for advanced querying. We have developed a full-featured Ruby API to the Ensembl databases, providing the same functionality as the Perl interface with additional features. A single Ruby API is used to access different releases of the Ensembl databases and is also able to query multi-species databases. Most functionality of the API is provided using the ActiveRecord pattern. The library depends on introspection to make it release independent. The API is available through the Rubygem system and can be installed with the command gem install ruby-ensembl-api.

  20. Prediction of interface residue based on the features of residue interaction network.

    Science.gov (United States)

    Jiao, Xiong; Ranganathan, Shoba

    2017-11-07

    Protein-protein interaction plays a crucial role in the cellular biological processes. Interface prediction can improve our understanding of the molecular mechanisms of the related processes and functions. In this work, we propose a classification method to recognize the interface residue based on the features of a weighted residue interaction network. The random forest algorithm is used for the prediction and 16 network parameters and the B-factor are acting as the element of the input feature vector. Compared with other similar work, the method is feasible and effective. The relative importance of these features also be analyzed to identify the key feature for the prediction. Some biological meaning of the important feature is explained. The results of this work can be used for the related work about the structure-function relationship analysis via a residue interaction network model. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Emotional intelligence in incarcerated men with psychopathic traits

    Science.gov (United States)

    Ermer, Elsa; Kahn, Rachel E.; Salovey, Peter; Kiehl, Kent A.

    2012-01-01

    The expression, recognition, and communication of emotional states are ubiquitous features of the human social world. Emotional intelligence (EI) is defined as the ability to perceive, manage, and reason about emotions, in oneself and others. Individuals with psychopathy have numerous difficulties in social interaction and show impairment on some emotional tasks. Here we investigate the relation between emotional intelligence and psychopathy in a sample of incarcerated men (n=374), using the Psychopathy Checklist—Revised (PCL-R; Hare, 2003) and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT; Mayer, Salovey, & Caruso, 2002). The MSCEIT is a well-validated ability-based emotional intelligence measure that does not rely on self-report judgments of emotional skills. The Hare PCL-R is the gold-standard for the assessment of psychopathy in clinical populations. Controlling for general intelligence, psychopathy was associated with lower emotional intelligence. These findings suggest individuals with psychopathy are impaired on a range of emotional intelligence abilities and that emotional intelligence is an important area for understanding deficits in psychopathy. PMID:22329657

  2. Age-related features of renal function (on radiorenographic data)

    International Nuclear Information System (INIS)

    Korkushko, O.V.; Frajfel'd, V.Eh.; Belyj, A.A.

    1986-01-01

    Renal function of 91 healthy subjects aged 18-91 has been evaluated at radionuclide renography with the use of 131 I-Hippuran. Renal excretory function, effective renal plasma and blood flows were found to decrease annually by 0.09 ml/kg in ageing men and by 0.08 ml/kg in women. The use of new indices may be useful for evaluation of renal blood circulation, especially during hypo- or hypervolaemia is proposed. These are the index of renal circulation efficiency and the mean time of circulating blood volume transfer through renal blood vessels

  3. A linear-time algorithm for Euclidean feature transform sets

    NARCIS (Netherlands)

    Hesselink, Wim H.

    2007-01-01

    The Euclidean distance transform of a binary image is the function that assigns to every pixel the Euclidean distance to the background. The Euclidean feature transform is the function that assigns to every pixel the set of background pixels with this distance. We present an algorithm to compute the

  4. Normed kernel function-based fuzzy possibilistic C-means (NKFPCM) algorithm for high-dimensional breast cancer database classification with feature selection is based on Laplacian Score

    Science.gov (United States)

    Lestari, A. W.; Rustam, Z.

    2017-07-01

    In the last decade, breast cancer has become the focus of world attention as this disease is one of the primary leading cause of death for women. Therefore, it is necessary to have the correct precautions and treatment. In previous studies, Fuzzy Kennel K-Medoid algorithm has been used for multi-class data. This paper proposes an algorithm to classify the high dimensional data of breast cancer using Fuzzy Possibilistic C-means (FPCM) and a new method based on clustering analysis using Normed Kernel Function-Based Fuzzy Possibilistic C-Means (NKFPCM). The objective of this paper is to obtain the best accuracy in classification of breast cancer data. In order to improve the accuracy of the two methods, the features candidates are evaluated using feature selection, where Laplacian Score is used. The results show the comparison accuracy and running time of FPCM and NKFPCM with and without feature selection.

  5. LINGUISTIC FEATURES ANALYSIS OF THE ENGLISH ELECTRONIC COMMERCE WEBSITES

    Directory of Open Access Journals (Sweden)

    Siti Nurani

    2014-06-01

    Full Text Available This research aims at identifying linguistic features used in the English electronic commerce websites used in correlation with the field, tenor and mode of discourse as parts of Systemic Functional Linguistics (SFL approach. Findings have shown that in the field of discourse, the linguistic features are largely appeared in the experiential domain analysis which shows that all terms of registers function as technical terms, of which the two major forms of nouns and verbs were the most frequent categories among other kinds of technical terms. The goal orientation is considered to be as a long term and the social activity is exchange. In the tenor of discourse, the linguistic features are highly appeared in the social distance analysis which shows that the social distance between participants is considered minimal. The agentive role is said to be equal and the social role is considered as non-hierarchic. In the mode of discourse, the linguistic features are excessively occurred in the language role analysis which exists equally of both constitutive and ancillary. The channel is in graphic mode. The medium is in written with a visual contact as its device.

  6. Structural–Functional Features of the Thyrotropin Receptor: A Class A G-Protein-Coupled Receptor at Work

    Directory of Open Access Journals (Sweden)

    Gerd Krause

    2017-04-01

    Full Text Available The thyroid-stimulating hormone receptor (TSHR is a member of the glycoprotein hormone receptors, a sub-group of class A G-protein-coupled receptors (GPCRs. TSHR and its endogenous ligand thyrotropin (TSH are of essential importance for growth and function of the thyroid gland and proper function of the TSH/TSHR system is pivotal for production and release of thyroid hormones. This receptor is also important with respect to pathophysiology, such as autoimmune (including ophthalmopathy or non-autoimmune thyroid dysfunctions and cancer development. Pharmacological interventions directly targeting the TSHR should provide benefits to disease treatment compared to currently available therapies of dysfunctions associated with the TSHR or the thyroid gland. Upon TSHR activation, the molecular events conveying conformational changes from the extra- to the intracellular side of the cell across the membrane comprise reception, conversion, and amplification of the signal. These steps are highly dependent on structural features of this receptor and its intermolecular interaction partners, e.g., TSH, antibodies, small molecules, G-proteins, or arrestin. For better understanding of signal transduction, pathogenic mechanisms such as autoantibody action and mutational modifications or for developing new pharmacological strategies, it is essential to combine available structural data with functional information to generate homology models of the entire receptor. Although so far these insights are fragmental, in the past few decades essential contributions have been made to investigate in-depth the involved determinants, such as by structure determination via X-ray crystallography. This review summarizes available knowledge (as of December 2016 concerning the TSHR protein structure, associated functional aspects, and based on these insights we suggest several receptor complex models. Moreover, distinct TSHR properties will be highlighted in comparison to other

  7. Structural-Functional Features of the Thyrotropin Receptor: A Class A G-Protein-Coupled Receptor at Work.

    Science.gov (United States)

    Kleinau, Gunnar; Worth, Catherine L; Kreuchwig, Annika; Biebermann, Heike; Marcinkowski, Patrick; Scheerer, Patrick; Krause, Gerd

    2017-01-01

    The thyroid-stimulating hormone receptor (TSHR) is a member of the glycoprotein hormone receptors, a sub-group of class A G-protein-coupled receptors (GPCRs). TSHR and its endogenous ligand thyrotropin (TSH) are of essential importance for growth and function of the thyroid gland and proper function of the TSH/TSHR system is pivotal for production and release of thyroid hormones. This receptor is also important with respect to pathophysiology, such as autoimmune (including ophthalmopathy) or non-autoimmune thyroid dysfunctions and cancer development. Pharmacological interventions directly targeting the TSHR should provide benefits to disease treatment compared to currently available therapies of dysfunctions associated with the TSHR or the thyroid gland. Upon TSHR activation, the molecular events conveying conformational changes from the extra- to the intracellular side of the cell across the membrane comprise reception, conversion, and amplification of the signal. These steps are highly dependent on structural features of this receptor and its intermolecular interaction partners, e.g., TSH, antibodies, small molecules, G-proteins, or arrestin. For better understanding of signal transduction, pathogenic mechanisms such as autoantibody action and mutational modifications or for developing new pharmacological strategies, it is essential to combine available structural data with functional information to generate homology models of the entire receptor. Although so far these insights are fragmental, in the past few decades essential contributions have been made to investigate in-depth the involved determinants, such as by structure determination via X-ray crystallography. This review summarizes available knowledge (as of December 2016) concerning the TSHR protein structure, associated functional aspects, and based on these insights we suggest several receptor complex models. Moreover, distinct TSHR properties will be highlighted in comparison to other class A GPCRs to

  8. Structural–Functional Features of the Thyrotropin Receptor: A Class A G-Protein-Coupled Receptor at Work

    Science.gov (United States)

    Kleinau, Gunnar; Worth, Catherine L.; Kreuchwig, Annika; Biebermann, Heike; Marcinkowski, Patrick; Scheerer, Patrick; Krause, Gerd

    2017-01-01

    The thyroid-stimulating hormone receptor (TSHR) is a member of the glycoprotein hormone receptors, a sub-group of class A G-protein-coupled receptors (GPCRs). TSHR and its endogenous ligand thyrotropin (TSH) are of essential importance for growth and function of the thyroid gland and proper function of the TSH/TSHR system is pivotal for production and release of thyroid hormones. This receptor is also important with respect to pathophysiology, such as autoimmune (including ophthalmopathy) or non-autoimmune thyroid dysfunctions and cancer development. Pharmacological interventions directly targeting the TSHR should provide benefits to disease treatment compared to currently available therapies of dysfunctions associated with the TSHR or the thyroid gland. Upon TSHR activation, the molecular events conveying conformational changes from the extra- to the intracellular side of the cell across the membrane comprise reception, conversion, and amplification of the signal. These steps are highly dependent on structural features of this receptor and its intermolecular interaction partners, e.g., TSH, antibodies, small molecules, G-proteins, or arrestin. For better understanding of signal transduction, pathogenic mechanisms such as autoantibody action and mutational modifications or for developing new pharmacological strategies, it is essential to combine available structural data with functional information to generate homology models of the entire receptor. Although so far these insights are fragmental, in the past few decades essential contributions have been made to investigate in-depth the involved determinants, such as by structure determination via X-ray crystallography. This review summarizes available knowledge (as of December 2016) concerning the TSHR protein structure, associated functional aspects, and based on these insights we suggest several receptor complex models. Moreover, distinct TSHR properties will be highlighted in comparison to other class A GPCRs to

  9. Reductio ad discrimen: Where features come from

    Directory of Open Access Journals (Sweden)

    Elizabeth Cowper

    2015-04-01

    Full Text Available This paper addresses two fundamental questions about the nature of formal features in phonology and morphosyntax: what is their expressive power, and where do they come from? To answer these questions, we begin with the most restrictive possible hypothesis (all features are privative, and are wholly dictated by Universal Grammar, with no room for cross-linguistic variation, and examine the extent to which empirical evidence from a variety of languages compels a retreat from this position. We argue that there is little to be gained by positing a universal set of specific features, and propose instead that the crucial contribution of UG is the language learner's ability to construct features by identifying correlations between contrasts at different levels of linguistic structure. This view resonates with current research on how the interaction between UG and external 'third factors' shapes the structure of language, while at the same time harking back to the Saussurean notion that contrast is the central function of linguistic representations.

  10. Image Recommendation Algorithm Using Feature-Based Collaborative Filtering

    Science.gov (United States)

    Kim, Deok-Hwan

    As the multimedia contents market continues its rapid expansion, the amount of image contents used in mobile phone services, digital libraries, and catalog service is increasing remarkably. In spite of this rapid growth, users experience high levels of frustration when searching for the desired image. Even though new images are profitable to the service providers, traditional collaborative filtering methods cannot recommend them. To solve this problem, in this paper, we propose feature-based collaborative filtering (FBCF) method to reflect the user's most recent preference by representing his purchase sequence in the visual feature space. The proposed approach represents the images that have been purchased in the past as the feature clusters in the multi-dimensional feature space and then selects neighbors by using an inter-cluster distance function between their feature clusters. Various experiments using real image data demonstrate that the proposed approach provides a higher quality recommendation and better performance than do typical collaborative filtering and content-based filtering techniques.

  11. Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features.

    Science.gov (United States)

    Lu, Xiaoqiang; Chen, Yaxiong; Li, Xuelong

    Hashing has been an important and effective technology in image retrieval due to its computational efficiency and fast search speed. The traditional hashing methods usually learn hash functions to obtain binary codes by exploiting hand-crafted features, which cannot optimally represent the information of the sample. Recently, deep learning methods can achieve better performance, since deep learning architectures can learn more effective image representation features. However, these methods only use semantic features to generate hash codes by shallow projection but ignore texture details. In this paper, we proposed a novel hashing method, namely hierarchical recurrent neural hashing (HRNH), to exploit hierarchical recurrent neural network to generate effective hash codes. There are three contributions of this paper. First, a deep hashing method is proposed to extensively exploit both spatial details and semantic information, in which, we leverage hierarchical convolutional features to construct image pyramid representation. Second, our proposed deep network can exploit directly convolutional feature maps as input to preserve the spatial structure of convolutional feature maps. Finally, we propose a new loss function that considers the quantization error of binarizing the continuous embeddings into the discrete binary codes, and simultaneously maintains the semantic similarity and balanceable property of hash codes. Experimental results on four widely used data sets demonstrate that the proposed HRNH can achieve superior performance over other state-of-the-art hashing methods.Hashing has been an important and effective technology in image retrieval due to its computational efficiency and fast search speed. The traditional hashing methods usually learn hash functions to obtain binary codes by exploiting hand-crafted features, which cannot optimally represent the information of the sample. Recently, deep learning methods can achieve better performance, since deep

  12. A prototype feature system for feature retrieval using relationships

    Science.gov (United States)

    Choi, J.; Usery, E.L.

    2009-01-01

    Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features.

  13. Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms

    Directory of Open Access Journals (Sweden)

    Xian-Hua Han

    2011-01-01

    extraction from medical images and fuses the different extracted visual features and textual feature for modality classification. To extract visual features from the images, we used histogram descriptor of edge, gray, or color intensity and block-based variation as global features and SIFT histogram as local feature. For textual feature of image representation, the binary histogram of some predefined vocabulary words from image captions is used. Then, we combine the different features using normalized kernel functions for SVM classification. Furthermore, for some easy misclassified modality pairs such as CT and MR or PET and NM modalities, a local classifier is used for distinguishing samples in the pair modality to improve performance. The proposed strategy is evaluated with the provided modality dataset by ImageCLEF 2010.

  14. Modeling multiple visual words assignment for bag-of-features based medical image retrieval

    KAUST Repository

    Wang, Jim Jing-Yan

    2012-01-01

    In this paper, we investigate the bag-of-features based medical image retrieval methods, which represent an image as a collection of local features, such as image patch and key points with SIFT descriptor. To improve the bag-of-features method, we first model the assignment of local descriptor as contribution functions, and then propose a new multiple assignment strategy. By assuming the local feature can be reconstructed by its neighboring visual words in vocabulary, we solve the reconstruction weights as a QP problem and then use the solved weights as contribution functions, which results in a new assignment method called the QP assignment. We carry our experiments on ImageCLEFmed datasets. Experiments\\' results show that our proposed method exceeds the performances of traditional solutions and works well for the bag-of-features based medical image retrieval tasks.

  15. Modeling multiple visual words assignment for bag-of-features based medical image retrieval

    KAUST Repository

    Wang, Jim Jing-Yan; Almasri, Islam

    2012-01-01

    In this paper, we investigate the bag-of-features based medical image retrieval methods, which represent an image as a collection of local features, such as image patch and key points with SIFT descriptor. To improve the bag-of-features method, we first model the assignment of local descriptor as contribution functions, and then propose a new multiple assignment strategy. By assuming the local feature can be reconstructed by its neighboring visual words in vocabulary, we solve the reconstruction weights as a QP problem and then use the solved weights as contribution functions, which results in a new assignment method called the QP assignment. We carry our experiments on ImageCLEFmed datasets. Experiments' results show that our proposed method exceeds the performances of traditional solutions and works well for the bag-of-features based medical image retrieval tasks.

  16. Feature-based attention is functionally distinct from relation-based attention: The double dissociation between color-based capture and color-relation-based capture of attention.

    Science.gov (United States)

    Du, Feng; Jiao, Jun

    2016-04-01

    The present study used a spatial blink task and a cuing task to examine the boundary between feature-based capture and relation-based capture. Feature-based capture occurs when distractors match the target feature such as target color. The occurrence of relation-based capture is contingent upon the feature relation between target and distractor (e.g., color relation). The results show that color distractors that match the target-nontarget color relation do not consistently capture attention when they appear outside of the attentional window, but distractors appearing outside the attentional window that match the target color consistently capture attention. In contrast, color distractors that best match the target-nontarget color relation but not the target color, are more likely to capture attention when they appear within the attentional window. Consistently, color cues that match the target-nontarget color relation produce a cuing effect when they appear within the attentional window, while target-color matched cues do not. Such a double dissociation between color-based capture and color-relation-based capture indicates functionally distinct mechanisms for these 2 types of attentional selection. This also indicates that the spatial blink task and the uninformative cuing task are measuring distinctive aspects of involuntary attention. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  17. The morphing of geographical features by Fourier transformation.

    Science.gov (United States)

    Li, Jingzhong; Liu, Pengcheng; Yu, Wenhao; Cheng, Xiaoqiang

    2018-01-01

    This paper presents a morphing model of vector geographical data based on Fourier transformation. This model involves three main steps. They are conversion from vector data to Fourier series, generation of intermediate function by combination of the two Fourier series concerning a large scale and a small scale, and reverse conversion from combination function to vector data. By mirror processing, the model can also be used for morphing of linear features. Experimental results show that this method is sensitive to scale variations and it can be used for vector map features' continuous scale transformation. The efficiency of this model is linearly related to the point number of shape boundary and the interceptive value n of Fourier expansion. The effect of morphing by Fourier transformation is plausible and the efficiency of the algorithm is acceptable.

  18. Aggressive antisocial behaviors are related to character maturity in young Swedish violent offenders independent of ADHD

    Directory of Open Access Journals (Sweden)

    Thomas Nilsson

    2016-11-01

    Full Text Available Background: Antisocial personality and psychopathic traits have constantly been found to accompany criminal and aggressive behaviors, but little attention has been given to aspects of character maturity and its relation to such behaviors. The present study investigated 1 whether level of character maturity (low, medium, and high is associated with amount of aggressive antisocial behaviors and psychopathic traits in young men imprisoned for violent criminality, and 2 whether such an association is independent of coexisting attention deficit hyperactivity disorder (ADHD.Methods: Swedish males (N=270, aged 18-25 sentenced to prison for violent and/or sexual criminality in the western region of the Swedish Prison and Probation Service underwent a thorough clinical examination during their incarceration. Data on character maturity as measured by the character dimensions Self-Directedness and Cooperativeness of the Temperament and Character Inventory were available for n=148 subjects, and used to divide these offenders into three groups with low, medium, and high character maturity. These groups were then compared for variables reflecting criminal history, a DSM-IV diagnosis of ADHD, Conduct disorder (CD and substance use disorders (SUD, aggressive behaviors, and psychopathic traits.Results: Character maturity was consistently associated with less aggressive antisocial behaviors and psychopathic personality traits; the group with the highest character maturity showed; i a later age at onset of criminality, ii a smaller number of prior violent criminal acts, iii lower prevalences of ADHD, CD, and SUD, iv less self-rated and expert-rated aggressive behaviors, and v less psychopathic traits. The association between character maturity and aggressive behaviors/psychopathic personality traits remained even when ADHD was controlled for. The only exception was sexual criminality, where the group with the highest character maturity contained the largest amount

  19. Organization of co-occurring Axis II features in borderline personality disorder.

    Science.gov (United States)

    Critchfield, Kenneth L; Clarkin, John F; Levy, Kenneth N; Kernberg, Otto F

    2008-06-01

    Considerable heterogeneity exists in the comorbid Axis II features that frequently accompany borderline personality disorder (BPD). These features have potential to be meaningfully organized, relate to specific BPD presentation, and have implications for treatment process and outcome. The present study explored patterns of Axis II comorbidity in order to identify subtypes of BPD. A well-defined sample of 90 patients diagnosed with BPD was recruited as part of an RCT study. Participants were administered the International Personality Disorder Examination (Loranger, 1999) to diagnose BPD and assess comorbid Axis II features. Other measures were also administered to assess aspects of current work and relationship functioning, symptomatology, and self-concept. Q-factoring was used to develop subtypes based on commonly occurring Axis II profiles, identifying three: Cluster A (elevated paranoid and schizotypal features), Cluster B (elevated narcissistic and histrionic features), and Cluster C (elevated avoidant and obsessive-compulsive features). An additional factor analysis revealed two dimensions underlying the comorbid features identifiable as: extraversion versus introversion and antagonism versus constraint. Validity of these two maps of comorbidity was explored in terms of the BPD criteria themselves, as well as on work and relationship functioning, identity diffusion, views of self and others, positive and negative affect, behavioural dyscontrol, and symptomatic distress. Clinically meaningful subtypes can be identified for BPD based on co-occurring Axis II features. Further research is needed to replicate and further establish base-rates of these subtypes as well as their differential implications for treatment.

  20. Feature hashing for fast image retrieval

    Science.gov (United States)

    Yan, Lingyu; Fu, Jiarun; Zhang, Hongxin; Yuan, Lu; Xu, Hui

    2018-03-01

    Currently, researches on content based image retrieval mainly focus on robust feature extraction. However, due to the exponential growth of online images, it is necessary to consider searching among large scale images, which is very timeconsuming and unscalable. Hence, we need to pay much attention to the efficiency of image retrieval. In this paper, we propose a feature hashing method for image retrieval which not only generates compact fingerprint for image representation, but also prevents huge semantic loss during the process of hashing. To generate the fingerprint, an objective function of semantic loss is constructed and minimized, which combine the influence of both the neighborhood structure of feature data and mapping error. Since the machine learning based hashing effectively preserves neighborhood structure of data, it yields visual words with strong discriminability. Furthermore, the generated binary codes leads image representation building to be of low-complexity, making it efficient and scalable to large scale databases. Experimental results show good performance of our approach.

  1. Stylistic Features of Comment in Arabic Blogosphere

    Directory of Open Access Journals (Sweden)

    Gabdulzyamil G. Zaynullin

    2017-11-01

    Full Text Available One of the most important issues in the study of the functioning of the Internet language is the definition of the features of each Internet genre presented in online communication, taking into account the linguocultural features of the language in question. This paper studies the genre of the Internet comments of the Arabic-speaking blogosphere and reveals its stylistic features. The most common goal of the comment is gratitude, followed by praise. We created a corpus of comments from blogs of various subjects, and then conducted the tagging, having identified the group to which we attributed a comment, depending on the subject and the communicative goal. With the help of the Lexico 3 software, the most frequent lexical units were identified, the lexical features of the comments were described, the main one being the widespread use of religionyms, and the relationship between the blog subject and the stylistic characteristics of communication was revealed. The article traces the correlation between the literary and colloquial functional style in the comments, and also draws a conclusion that the comments are of a conversational, informal character. The main devices of expressiveness that are characteristic for both network and pre-network communication were revealed, and the tendency of the analysts to observe in the comments a stable three-part composition (greeting, message, final formula. The influence of traditional Arabic rhetoric, as well as the epistolary genre, was preserved. The results of the paper can be used when studying other genres of Internet communication in Arabic and in comparative studies to create the linguistic software.

  2. The Interplay of Attention and Emotion: Top-down Attention Modulates Amygdala Activation in Psychopathy

    OpenAIRE

    Larson, Christine L.; Baskin-Sommers, Arielle R.; Stout, Daniel M.; Balderston, Nicholas L.; Curtin, John J.; Schultz, Douglas H.; Kiehl, Kent A.; Newman, Joseph P.

    2013-01-01

    Psychopathic behavior has long been attributed to a fundamental deficit in fear that arises from impaired amygdala function. Growing evidence demonstrates that fear potentiated startle (FPS) and other psychopathy-related deficits are moderated by focus of attention but, to date, no work on adult psychopathy has examined attentional modulation of the amygdala, or concomitant recruitment of relevant attention-related circuitry. Consistent with previous FPS findings, here we report that psychopa...

  3. Production Functions for Water Delivery Systems: Analysis and Estimation Using Dual Cost Function and Implicit Price Specifications

    Science.gov (United States)

    Teeples, Ronald; Glyer, David

    1987-05-01

    Both policy and technical analysis of water delivery systems have been based on cost functions that are inconsistent with or are incomplete representations of the neoclassical production functions of economics. We present a full-featured production function model of water delivery which can be estimated from a multiproduct, dual cost function. The model features implicit prices for own-water inputs and is implemented as a jointly estimated system of input share equations and a translog cost function. Likelihood ratio tests are performed showing that a minimally constrained, full-featured production function is a necessary specification of the water delivery operations in our sample. This, plus the model's highly efficient and economically correct parameter estimates, confirms the usefulness of a production function approach to modeling the economic activities of water delivery systems.

  4. Feature selection for anomaly–based network intrusion detection using cluster validity indices

    CSIR Research Space (South Africa)

    Naidoo, Tyrone

    2015-09-01

    Full Text Available data, which is rarely available in operational networks. It uses normalized cluster validity indices as an objective function that is optimized over the search space of candidate feature subsets via a genetic algorithm. Feature sets produced...

  5. Feature Binding of Common Everyday Items Is Not Affected by Age

    Directory of Open Access Journals (Sweden)

    Serge Hoefeijzers

    2017-05-01

    Full Text Available There is a surge of studies confirming that old age spares the ability to bind in visual working memory (VWM multiple features within singular object representations. Furthermore, it has been suggested that such ability may also be independent of the cultural background of the assessed individual. However, this evidence has been gathered with tasks that use arbitrary bindings of unfamiliar features. Whether age spares memory binding functions when the memoranda are features of everyday life objects remains less well explored. The present study investigated the influence of age, memory delay, and education, on conjunctive binding functions responsible for representing everyday items in VWM. We asked 32 healthy young and 41 healthy older adults to perform a memory binding task. During the task, participants saw visual arrays of objects, colours, or coloured objects presented for 6 s. Immediately after they were asked either to select the objects or the colours that were presented during the study display from larger sets of objects or colours, or to recombine them by selecting from such sets the objects and their corresponding colours. This procedure was repeated immediately after but this time providing a 30 s unfiled delay. We manipulated familiarity by presenting congruent and incongruent object-colour pairings. The results showed that the ability to bind intrinsic features in VWM does not decline with age even when these features belong to everyday items and form novel or well-known associations. Such preserved memory binding abilities held across memory delays. The impact of feature congruency on item-recognition appears to be greater in older than in younger adults. This suggests that long-term memory (LTM supports binding functions carried out in VWM for familiar everyday items and older adults still benefit from this LTM support. We have expanded the evidence supporting the lack of age effects on VWM binding functions to new feature and

  6. Enhancing facial features by using clear facial features

    Science.gov (United States)

    Rofoo, Fanar Fareed Hanna

    2017-09-01

    The similarity of features between individuals of same ethnicity motivated the idea of this project. The idea of this project is to extract features of clear facial image and impose them on blurred facial image of same ethnic origin as an approach to enhance a blurred facial image. A database of clear images containing 30 individuals equally divided to five different ethnicities which were Arab, African, Chines, European and Indian. Software was built to perform pre-processing on images in order to align the features of clear and blurred images. And the idea was to extract features of clear facial image or template built from clear facial images using wavelet transformation to impose them on blurred image by using reverse wavelet. The results of this approach did not come well as all the features did not align together as in most cases the eyes were aligned but the nose or mouth were not aligned. Then we decided in the next approach to deal with features separately but in the result in some cases a blocky effect was present on features due to not having close matching features. In general the available small database did not help to achieve the goal results, because of the number of available individuals. The color information and features similarity could be more investigated to achieve better results by having larger database as well as improving the process of enhancement by the availability of closer matches in each ethnicity.

  7. Spatial features register: toward standardization of spatial features

    Science.gov (United States)

    Cascio, Janette

    1994-01-01

    As the need to share spatial data increases, more than agreement on a common format is needed to ensure that the data is meaningful to both the importer and the exporter. Effective data transfer also requires common definitions of spatial features. To achieve this, part 2 of the Spatial Data Transfer Standard (SDTS) provides a model for a spatial features data content specification and a glossary of features and attributes that fit this model. The model provides a foundation for standardizing spatial features. The glossary now contains only a limited subset of hydrographic and topographic features. For it to be useful, terms and definitions must be included for other categories, such as base cartographic, bathymetric, cadastral, cultural and demographic, geodetic, geologic, ground transportation, international boundaries, soils, vegetation, water, and wetlands, and the set of hydrographic and topographic features must be expanded. This paper will review the philosophy of the SDTS part 2 and the current plans for creating a national spatial features register as one mechanism for maintaining part 2.

  8. Classification of endoscopic capsule images by using color wavelet features, higher order statistics and radial basis functions.

    Science.gov (United States)

    Lima, C S; Barbosa, D; Ramos, J; Tavares, A; Monteiro, L; Carvalho, L

    2008-01-01

    This paper presents a system to support medical diagnosis and detection of abnormal lesions by processing capsule endoscopic images. Endoscopic images possess rich information expressed by texture. Texture information can be efficiently extracted from medium scales of the wavelet transform. The set of features proposed in this paper to code textural information is named color wavelet covariance (CWC). CWC coefficients are based on the covariances of second order textural measures, an optimum subset of them is proposed. Third and forth order moments are added to cope with distributions that tend to become non-Gaussian, especially in some pathological cases. The proposed approach is supported by a classifier based on radial basis functions procedure for the characterization of the image regions along the video frames. The whole methodology has been applied on real data containing 6 full endoscopic exams and reached 95% specificity and 93% sensitivity.

  9. Features of the Manufacturing Vision Development Process

    DEFF Research Database (Denmark)

    Dukovska-Popovska, Iskra; Riis, Jens Ove; Boer, Harry

    2005-01-01

    of action research. The methodology recommends wide participation of people from different hierarchical and functional positions, who engage in a relatively short, playful and creative process and come up with a vision (concept) for the future manufacturing system in the company. Based on three case studies......This paper discusses the key features of the process of Manufacturing Vision Development, a process that enables companies to develop their future manufacturing concept. The basis for the process is a generic five-phase methodology (Riis and Johansen, 2003) developed as a result of ten years...... of companies going through the initial phases of the methodology, this research identified the key features of the Manufacturing Vision Development process. The paper elaborates the key features by defining them, discussing how and when they can appear, and how they influence the process....

  10. Corporate psychopathy and the full-range leadership model.

    Science.gov (United States)

    Mathieu, Cynthia; Neumann, Craig; Babiak, Paul; Hare, Robert D

    2015-06-01

    The B-Scan 360 is a relatively new, purpose-built measure of corporate psychopathy that addresses many of the issues inherent in studying psychopathy in organizations. The primary goal of the present study was to measure the relationship between employees' perception of psychopathic features in their supervisor and their rating of their supervisor on the Full-Range Model of Leadership. The second goal of the study was to test the B-Scan 360's factor structure and test its interrater reliability in an organizational sample. A total of 491 civic employees and 116 employees from a branch of a large financial company completed the B-Scan 360 as well as the Multifactor Leadership Questionnaire on their direct supervisor. The B-Scan 360 and all of its four factors were positively correlated with passive leadership (Laissez-Faire leadership) and negatively correlated with positive leadership (both Transactional and Transformational leadership). Furthermore, results revealed the same four-factor structure and good interrater reliability for the B-Scan 360 in this business sample as previously reported for a general population. Overall, the results provide additional support for the B-Scan 360 as a measure of psychopathic traits in corporate settings. © The Author(s) 2014.

  11. Convergent and Discriminant Validity of Psychopathy Factors Assessed Via Self-Report

    Science.gov (United States)

    Benning, Stephen D.; Patrick, Christopher J.; Salekin, Randall T.; Leistico, Anne-Marie R.

    2008-01-01

    Psychopathy has been conceptualized as a personality disorder with distinctive interpersonal-affective and behavioral deviance features. The authors examine correlates of the factors of the Psychopathic Personality Inventory (PPI), Self-Report Psychopathy–II (SRP-II) scale, and Antisocial Process Screening Device (APSD) to understand similarities and differences among the constructs embodied in these instruments. PPI Fearless Dominance and SRP-II Factor 1 were negatively related to most personality disorder symptoms and were both predicted by high Dominance and low Neuroticism. In addition, PPI Fearless Dominance correlated positively with antisocial personality features, although SRP-II Factor 1 did not. In contrast, PPI Impulsive Antisociality, SRP-II Factor 2, and both APSD factors correlated with antisocial personality features and symptoms of nearly all personality disorders, and were predicted by low Love. Results suggest ways in which the measurement of the constructs in each instrument may be improved. PMID:16123248

  12. Mobility as a feature: Evidence from Zulu

    Directory of Open Access Journals (Sweden)

    Jochen Zeller

    2016-01-01

    Full Text Available This paper provides evidence for the view that syntactic movement of an element Y to a position X is not driven by features of the target X, but by features of the moving element Y. The data that constitute evidence for this type of analysis come from A-bar movement constructions (object left and right dislocation; object relativisation in the Bantu language Zulu. As I show, only object-DPs that move out of the VP in Zulu are active Goals for Agree-relations and can trigger object agreement with the verb. The fact that the functional head responsible for object agreement must be able to identify a DP in its c-command domain as an active Goal entails that the “mobility” of this DP must be encoded as a property of the DP. Based on this conclusion, I also discuss two proposals about the nature of the feature that activates a DP for movement in Zulu and examine the conditions that determine how this feature is checked and deleted through movement.

  13. A Study of Feature Extraction Using Divergence Analysis of Texture Features

    Science.gov (United States)

    Hallada, W. A.; Bly, B. G.; Boyd, R. K.; Cox, S.

    1982-01-01

    An empirical study of texture analysis for feature extraction and classification of high spatial resolution remotely sensed imagery (10 meters) is presented in terms of specific land cover types. The principal method examined is the use of spatial gray tone dependence (SGTD). The SGTD method reduces the gray levels within a moving window into a two-dimensional spatial gray tone dependence matrix which can be interpreted as a probability matrix of gray tone pairs. Haralick et al (1973) used a number of information theory measures to extract texture features from these matrices, including angular second moment (inertia), correlation, entropy, homogeneity, and energy. The derivation of the SGTD matrix is a function of: (1) the number of gray tones in an image; (2) the angle along which the frequency of SGTD is calculated; (3) the size of the moving window; and (4) the distance between gray tone pairs. The first three parameters were varied and tested on a 10 meter resolution panchromatic image of Maryville, Tennessee using the five SGTD measures. A transformed divergence measure was used to determine the statistical separability between four land cover categories forest, new residential, old residential, and industrial for each variation in texture parameters.

  14. A Sparsity-Promoted Method Based on Majorization-Minimization for Weak Fault Feature Enhancement.

    Science.gov (United States)

    Ren, Bangyue; Hao, Yansong; Wang, Huaqing; Song, Liuyang; Tang, Gang; Yuan, Hongfang

    2018-03-28

    Fault transient impulses induced by faulty components in rotating machinery usually contain substantial interference. Fault features are comparatively weak in the initial fault stage, which renders fault diagnosis more difficult. In this case, a sparse representation method based on the Majorzation-Minimization (MM) algorithm is proposed to enhance weak fault features and extract the features from strong background noise. However, the traditional MM algorithm suffers from two issues, which are the choice of sparse basis and complicated calculations. To address these challenges, a modified MM algorithm is proposed in which a sparse optimization objective function is designed firstly. Inspired by the Basis Pursuit (BP) model, the optimization function integrates an impulsive feature-preserving factor and a penalty function factor. Second, a modified Majorization iterative method is applied to address the convex optimization problem of the designed function. A series of sparse coefficients can be achieved through iterating, which only contain transient components. It is noteworthy that there is no need to select the sparse basis in the proposed iterative method because it is fixed as a unit matrix. Then the reconstruction step is omitted, which can significantly increase detection efficiency. Eventually, envelope analysis of the sparse coefficients is performed to extract weak fault features. Simulated and experimental signals including bearings and gearboxes are employed to validate the effectiveness of the proposed method. In addition, comparisons are made to prove that the proposed method outperforms the traditional MM algorithm in terms of detection results and efficiency.

  15. Neural correlates of social cooperation and non-cooperation as a function of psychopathy.

    Science.gov (United States)

    Rilling, James K; Glenn, Andrea L; Jairam, Meeta R; Pagnoni, Giuseppe; Goldsmith, David R; Elfenbein, Hanie A; Lilienfeld, Scott O

    2007-06-01

    Psychopathy is a disorder involving a failure to experience many emotions that are necessary for appropriate social behavior. In this study, we probed the behavioral, emotional, and neural correlates of psychopathic traits within the context of a dyadic social interaction. Thirty subjects were imaged with functional magnetic resonance imaging while playing an iterated Prisoner's Dilemma game with human confederates who were outside the scanner. Subjects also completed two self-report psychopathy questionnaires. Subjects scoring higher on psychopathy, particularly males, defected more often and were less likely to continue cooperating after establishing mutual cooperation with a partner. Further, they experienced more outcomes in which their cooperation was not reciprocated (cooperate-defect outcome). After such outcomes, subjects scoring high in psychopathy showed less amygdala activation, suggesting weaker aversive conditioning to those outcomes. Compared with low-psychopathy subjects, subjects higher in psychopathy also showed weaker activation within orbitofrontal cortex when choosing to cooperate and showed weaker activation within dorsolateral prefrontal and rostral anterior cingulate cortex when choosing to defect. These findings suggest that whereas subjects scoring low on psychopathy have emotional biases toward cooperation that can only be overcome with effortful cognitive control, subjects scoring high on psychopathy have an opposing bias toward defection that likewise can only be overcome with cognitive effort.

  16. FEATURE SELECTION METHODS BASED ON MUTUAL INFORMATION FOR CLASSIFYING HETEROGENEOUS FEATURES

    Directory of Open Access Journals (Sweden)

    Ratri Enggar Pawening

    2016-06-01

    Full Text Available Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT is another way to handle heterogeneous features subset selection. The results of transformation from non-numerical into numerical features may produce redundancy to the original numerical features. In this paper, we propose a method to select feature subset based on mutual information (MI for classifying heterogeneous features. We use unsupervised feature transformation (UFT methods and joint mutual information maximation (JMIM methods. UFT methods is used to transform non-numerical features into numerical features. JMIM methods is used to select feature subset with a consideration of the class label. The transformed and the original features are combined entirely, then determine features subset by using JMIM methods, and classify them using support vector machine (SVM algorithm. The classification accuracy are measured for any number of selected feature subset and compared between UFT-JMIM methods and Dummy-JMIM methods. The average classification accuracy for all experiments in this study that can be achieved by UFT-JMIM methods is about 84.47% and Dummy-JMIM methods is about 84.24%. This result shows that UFT-JMIM methods can minimize information loss between transformed and original features, and select feature subset to avoid redundant and irrelevant features.

  17. Memory for Physical Features of Discourse as a Function of Their Relevance.

    Science.gov (United States)

    Fisher, Ronald P.; Cuervo, Asela

    Memory for sex of the speaker and language of presentation of a spoken message was high and reliably better when the features were instrumental for comprehending the message than when they were not. This suggests that the physical characteristics of an event may be deeply or elaborately encoded when they are meaningful in light of the task…

  18. Fault Features Extraction and Identification based Rolling Bearing Fault Diagnosis

    International Nuclear Information System (INIS)

    Qin, B; Sun, G D; Zhang L Y; Wang J G; HU, J

    2017-01-01

    For the fault classification model based on extreme learning machine (ELM), the diagnosis accuracy and stability of rolling bearing is greatly influenced by a critical parameter, which is the number of nodes in hidden layer of ELM. An adaptive adjustment strategy is proposed based on vibrational mode decomposition, permutation entropy, and nuclear kernel extreme learning machine to determine the tunable parameter. First, the vibration signals are measured and then decomposed into different fault feature models based on variation mode decomposition. Then, fault feature of each model is formed to a high dimensional feature vector set based on permutation entropy. Second, the ELM output function is expressed by the inner product of Gauss kernel function to adaptively determine the number of hidden layer nodes. Finally, the high dimension feature vector set is used as the input to establish the kernel ELM rolling bearing fault classification model, and the classification and identification of different fault states of rolling bearings are carried out. In comparison with the fault classification methods based on support vector machine and ELM, the experimental results show that the proposed method has higher classification accuracy and better generalization ability. (paper)

  19. Home Features and Assistive Technology for the Home-Bound Elderly in a Thai Suburban Community by Applying the International Classification of Functioning, Disability, and Health

    Directory of Open Access Journals (Sweden)

    Supawadee Putthinoi

    2017-01-01

    Full Text Available The ageing population is having an impact worldwide and has created a serious challenge in Thailand’s healthcare systems, whereby healthcare practitioners play a major role in promoting independent interaction of their client’s abilities, as well as environmental factors. The purpose of this study was to survey features of the home and assistive technology (AT for the home-bound elderly in the community of Chiang Mai, Thailand. Home evaluation included features inside and outside the home, and AT was based on the International Classification of Functioning, Disability, and Health (ICF concept. Methods included observation and an interview that were used by the researcher for evaluation. The study found that every home had at least one hazardous home feature such as inappropriate width of the door, high door threshold, tall stair steps, no bedside rail, and inappropriate height of the toilet pan. AT was found in houses as general products and technology for personal use in daily living and for personal indoor and outdoor mobility as well as transportation. Therefore, home features and AT can afford the home-bound elderly independent living within the community. Perspective AT according to the ICF concept could provide a common language for ageing in place benefits.

  20. Classification of interstitial lung disease patterns with topological texture features

    Science.gov (United States)

    Huber, Markus B.; Nagarajan, Mahesh; Leinsinger, Gerda; Ray, Lawrence A.; Wismüller, Axel

    2010-03-01

    Topological texture features were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT) images. For 14 patients with known occurrence of honey-combing, a stack of 70 axial, lung kernel reconstructed images were acquired from HRCT chest exams. A set of 241 regions of interest of both healthy and pathological (89) lung tissue were identified by an experienced radiologist. Texture features were extracted using six properties calculated from gray-level co-occurrence matrices (GLCM), Minkowski Dimensions (MDs), and three Minkowski Functionals (MFs, e.g. MF.euler). A k-nearest-neighbor (k-NN) classifier and a Multilayer Radial Basis Functions Network (RBFN) were optimized in a 10-fold cross-validation for each texture vector, and the classification accuracy was calculated on independent test sets as a quantitative measure of automated tissue characterization. A Wilcoxon signed-rank test was used to compare two accuracy distributions and the significance thresholds were adjusted for multiple comparisons by the Bonferroni correction. The best classification results were obtained by the MF features, which performed significantly better than all the standard GLCM and MD features (p < 0.005) for both classifiers. The highest accuracy was found for MF.euler (97.5%, 96.6%; for the k-NN and RBFN classifier, respectively). The best standard texture features were the GLCM features 'homogeneity' (91.8%, 87.2%) and 'absolute value' (90.2%, 88.5%). The results indicate that advanced topological texture features can provide superior classification performance in computer-assisted diagnosis of interstitial lung diseases when compared to standard texture analysis methods.

  1. Relationship between body mass index and fibromyalgia features.

    Science.gov (United States)

    Yunus, Muhammad B; Arslan, Sule; Aldag, Jean C

    2002-01-01

    to evaluate the relationship between body mass index (BMI) and features of the fibromyalgia syndrome (FMS). 211 female patients with FMS seen consecutively in our rheumatology clinic were analyzed. Spearman correlation was used. Further, FMS features were compared at different levels of BMI (kg/m2), e.g., or = 25.00 (normal vs overweight). P value of BMI and age (pBMI and education (pBMI (pBMI in FMS with a trend towards significance for fatigue and TP. Weight loss may improve physical functioning in this disorder.

  2. Deficient fear conditioning in psychopathy as a function of interpersonal and affective disturbances

    Directory of Open Access Journals (Sweden)

    Ralf eVeit

    2013-10-01

    Full Text Available The diminished fear reactivity is one of the most valid physiological findings in psychopathy research. In a fear conditioning paradigm, with faces as conditioned stimulus (CS and electric shock as unconditioned stimulus (US, we investigated a sample of 14 high psychopathic violent offenders. Event related potentials, skin conductance responses (SCR as well as subjective ratings of the CSs were collected. This study assessed to which extent the different facets of the psychopathy construct contribute to the fear conditioning deficits observed in psychopaths. Participants with high scores on the affective facet subscale of the Psychopathy Checklist-Revised (PCL-R showed weaker conditioned fear responses and lower N100 amplitudes compared to low scorers. In contrast, high scorers on the affective facet rated the CS+ (paired more negatively than low scorers regarding the CS- (unpaired. Regarding the P300, high scores on the interpersonal facet were associated with increased amplitudes to the CS+ compared to the CS-, while the opposed pattern was found with the antisocial facet. Both, the initial and terminal contingent negative variation indicated a divergent pattern: participants with pronounced interpersonal deficits, showed increased cortical negativity to the CS+ compared to the CS-, whereas a reversed CS+/CS- differentiation was found in offenders scoring high on the antisocial facet. The present study revealed that deficient fear conditioning in psychopathy was most pronounced in offenders with high scores on the affective facet. Event related potentials suggest that participants with distinct interpersonal deficits showed increased information processing, whereas the antisocial facet was linked to decreased attention and interest to the CS+. These data indicate that an approach to the facets of psychopathy can help to resolve ambiguous findings in psychopathy research and enables a more precise and useful description of this disorder.

  3. Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics

    Science.gov (United States)

    Faye, Ibrahima; Samir, Brahim Belhaouari; Md Said, Abas

    2014-01-01

    Bioinformatics has been an emerging area of research for the last three decades. The ultimate aims of bioinformatics were to store and manage the biological data, and develop and analyze computational tools to enhance their understanding. The size of data accumulated under various sequencing projects is increasing exponentially, which presents difficulties for the experimental methods. To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past. The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins. The existing classification results are unsatisfactory due to a huge size of features obtained through various feature encoding methods. In this work, a statistical metric-based feature selection technique has been proposed in order to reduce the size of the extracted feature vector. The proposed method of protein classification shows significant improvement in terms of performance measure metrics: accuracy, sensitivity, specificity, recall, F-measure, and so forth. PMID:25045727

  4. A kernel-based multi-feature image representation for histopathology image classification

    International Nuclear Information System (INIS)

    Moreno J; Caicedo J Gonzalez F

    2010-01-01

    This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using kernel functions. This feature space is further enhanced by the application of latent semantic analysis, to model hidden relationships among visual patterns. All that information is included in the new image representation space. Then, support vector machine classifiers are used to assign semantic labels to images. Processing and classification algorithms operate on top of kernel functions, so that; the structure of the feature space is completely controlled using similarity measures and a dual representation. The proposed approach has shown a successful performance in a classification task using a dataset with 1,502 real histopathology images in 18 different classes. The results show that our approach for histological image classification obtains an improved average performance of 20.6% when compared to a conventional classification approach based on SVM directly applied to the original kernel.

  5. A KERNEL-BASED MULTI-FEATURE IMAGE REPRESENTATION FOR HISTOPATHOLOGY IMAGE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    J Carlos Moreno

    2010-09-01

    Full Text Available This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using kernel functions. This feature space is further enhanced by the application of Latent Semantic Analysis, to model hidden relationships among visual patterns. All that information is included in the new image representation space. Then, Support Vector Machine classifiers are used to assign semantic labels to images. Processing and classification algorithms operate on top of kernel functions, so that, the structure of the feature space is completely controlled using similarity measures and a dual representation. The proposed approach has shown a successful performance in a classification task using a dataset with 1,502 real histopathology images in 18 different classes. The results show that our approach for histological image classification obtains an improved average performance of 20.6% when compared to a conventional classification approach based on SVM directly applied to the original kernel.

  6. A Multi-Functional Microelectrode Array Featuring 59760 Electrodes, 2048 Electrophysiology Channels, Stimulation, Impedance Measurement and Neurotransmitter Detection Channels.

    Science.gov (United States)

    Dragas, Jelena; Viswam, Vijay; Shadmani, Amir; Chen, Yihui; Bounik, Raziyeh; Stettler, Alexander; Radivojevic, Milos; Geissler, Sydney; Obien, Marie; Müller, Jan; Hierlemann, Andreas

    2017-06-01

    Biological cells are characterized by highly complex phenomena and processes that are, to a great extent, interdependent. To gain detailed insights, devices designed to study cellular phenomena need to enable tracking and manipulation of multiple cell parameters in parallel; they have to provide high signal quality and high spatiotemporal resolution. To this end, we have developed a CMOS-based microelectrode array system that integrates six measurement and stimulation functions, the largest number to date. Moreover, the system features the largest active electrode array area to date (4.48×2.43 mm 2 ) to accommodate 59,760 electrodes, while its power consumption, noise characteristics, and spatial resolution (13.5 μm electrode pitch) are comparable to the best state-of-the-art devices. The system includes: 2,048 action-potential (AP, bandwidth: 300 Hz to 10 kHz) recording units, 32 local-field-potential (LFP, bandwidth: 1 Hz to 300 Hz) recording units, 32 current recording units, 32 impedance measurement units, and 28 neurotransmitter detection units, in addition to the 16 dual-mode voltage-only or current/voltage-controlled stimulation units. The electrode array architecture is based on a switch matrix, which allows for connecting any measurement/stimulation unit to any electrode in the array and for performing different measurement/stimulation functions in parallel.

  7. Biomedical imaging modality classification using combined visual features and textual terms.

    Science.gov (United States)

    Han, Xian-Hua; Chen, Yen-Wei

    2011-01-01

    We describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign (ImageCLEF). This paper is focused on the process of feature extraction from medical images and fuses the different extracted visual features and textual feature for modality classification. To extract visual features from the images, we used histogram descriptor of edge, gray, or color intensity and block-based variation as global features and SIFT histogram as local feature. For textual feature of image representation, the binary histogram of some predefined vocabulary words from image captions is used. Then, we combine the different features using normalized kernel functions for SVM classification. Furthermore, for some easy misclassified modality pairs such as CT and MR or PET and NM modalities, a local classifier is used for distinguishing samples in the pair modality to improve performance. The proposed strategy is evaluated with the provided modality dataset by ImageCLEF 2010.

  8. Multi-task feature selection in microarray data by binary integer programming.

    Science.gov (United States)

    Lan, Liang; Vucetic, Slobodan

    2013-12-20

    A major challenge in microarray classification is that the number of features is typically orders of magnitude larger than the number of examples. In this paper, we propose a novel feature filter algorithm to select the feature subset with maximal discriminative power and minimal redundancy by solving a quadratic objective function with binary integer constraints. To improve the computational efficiency, the binary integer constraints are relaxed and a low-rank approximation to the quadratic term is applied. The proposed feature selection algorithm was extended to solve multi-task microarray classification problems. We compared the single-task version of the proposed feature selection algorithm with 9 existing feature selection methods on 4 benchmark microarray data sets. The empirical results show that the proposed method achieved the most accurate predictions overall. We also evaluated the multi-task version of the proposed algorithm on 8 multi-task microarray datasets. The multi-task feature selection algorithm resulted in significantly higher accuracy than when using the single-task feature selection methods.

  9. Identifying significant environmental features using feature recognition.

    Science.gov (United States)

    2015-10-01

    The Department of Environmental Analysis at the Kentucky Transportation Cabinet has expressed an interest in feature-recognition capability because it may help analysts identify environmentally sensitive features in the landscape, : including those r...

  10. Sequence-based feature prediction and annotation of proteins

    DEFF Research Database (Denmark)

    Juncker, Agnieszka; Jensen, Lars J.; Pierleoni, Andrea

    2009-01-01

    A recent trend in computational methods for annotation of protein function is that many prediction tools are combined in complex workflows and pipelines to facilitate the analysis of feature combinations, for example, the entire repertoire of kinase-binding motifs in the human proteome....

  11. Extraocular muscle function testing

    Science.gov (United States)

    ... medlineplus.gov/ency/article/003397.htm Extraocular muscle function testing To use the sharing features on this page, please enable JavaScript. Extraocular muscle function testing examines the function of the eye muscles. ...

  12. Clarity

    OpenAIRE

    Tanuwijaya, Tifanny; Darma, Budi

    2017-01-01

    This creative project is a romantic suspense novel that tells about the emotional bond of a cruel psychopath, Lukas, who kidnaps people and commits drug exploitation on them, and Sharon, who is one of his victims. To develop the plot and the characterization, I used four theories: Psychoanalysis, Antisocial Personality Disorder, Stockholm syndrome and Dream Analysis. The themes are about perception, exploring that of the psychopath's false perception about people's lives, and purpose, in whic...

  13. ?Do Unto Others??: Distinct Psychopathy Facets Predict Reduced Perception and Tolerance of Pain

    OpenAIRE

    Brislin, Sarah J.; Buchman-Schmitt, Jennifer M.; Joiner, Thomas E.; Patrick, Christopher J.

    2016-01-01

    Recent research has sought to understand how individuals high in psychopathic traits perceive pain in others (Decety, Skelly, & Kiehl, 2013; Marsh et al., 2013). Perception of pain in others is presumed to act as a prosocial signal, and underreactivity to others? pain may contribute to engagement in exploitative-aggressive behaviors among individuals high in psychopathic traits (Jackson, Meltzoff, & Decety; 2005). The current study tested for associations between facets of psychopathy as defi...

  14. Functional Anorectal Disorders.

    Science.gov (United States)

    Rao, Satish Sc; Bharucha, Adil E; Chiarioni, Giuseppe; Felt-Bersma, Richelle; Knowles, Charles; Malcolm, Allison; Wald, Arnold

    2016-03-25

    This report defines criteria and reviews the epidemiology, pathophysiology, and management of common anorectal disorders: fecal incontinence (FI), functional anorectal pain and functional defecation disorders. FI is defined as the recurrent uncontrolled passage of fecal material for at least 3 months. The clinical features of FI are useful for guiding diagnostic testing and therapy. Anorectal manometry and imaging are useful for evaluating anal and pelvic floor structure and function. Education, antidiarrheals and biofeedback therapy are the mainstay of management; surgery may be useful in refractory cases. Functional anorectal pain syndromes are defined by clinical features and categorized into three subtypes. In proctalgia fugax, the pain is typically fleeting and lasts for seconds to minutes. In levator ani syndrome (LAS) and unspecified anorectal pain the pain lasts more than 30 minutes, but in LAS there is puborectalis tenderness. Functional defecation disorders are defined by >2 symptoms of chronic constipation or irritable bowel syndrome with constipation, and with >2 features of impaired evacuation i.e., abnormal evacuation pattern on manometry, abnormal balloon expulsion test or impaired rectal evacuation by imaging. It includes two subtypes; dyssynergic defecation and inadequate defecatory propulsion. Pelvic floor biofeedback therapy is effective for treating LAS and defecatory disorders. Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.

  15. Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection

    Science.gov (United States)

    Chen, Qiang; Chen, Yunhao; Jiang, Weiguo

    2016-01-01

    In the field of multiple features Object-Based Change Detection (OBCD) for very-high-resolution remotely sensed images, image objects have abundant features and feature selection affects the precision and efficiency of OBCD. Through object-based image analysis, this paper proposes a Genetic Particle Swarm Optimization (GPSO)-based feature selection algorithm to solve the optimization problem of feature selection in multiple features OBCD. We select the Ratio of Mean to Variance (RMV) as the fitness function of GPSO, and apply the proposed algorithm to the object-based hybrid multivariate alternative detection model. Two experiment cases on Worldview-2/3 images confirm that GPSO can significantly improve the speed of convergence, and effectively avoid the problem of premature convergence, relative to other feature selection algorithms. According to the accuracy evaluation of OBCD, GPSO is superior at overall accuracy (84.17% and 83.59%) and Kappa coefficient (0.6771 and 0.6314) than other algorithms. Moreover, the sensitivity analysis results show that the proposed algorithm is not easily influenced by the initial parameters, but the number of features to be selected and the size of the particle swarm would affect the algorithm. The comparison experiment results reveal that RMV is more suitable than other functions as the fitness function of GPSO-based feature selection algorithm. PMID:27483285

  16. Genetic Particle Swarm Optimization-Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection.

    Science.gov (United States)

    Chen, Qiang; Chen, Yunhao; Jiang, Weiguo

    2016-07-30

    In the field of multiple features Object-Based Change Detection (OBCD) for very-high-resolution remotely sensed images, image objects have abundant features and feature selection affects the precision and efficiency of OBCD. Through object-based image analysis, this paper proposes a Genetic Particle Swarm Optimization (GPSO)-based feature selection algorithm to solve the optimization problem of feature selection in multiple features OBCD. We select the Ratio of Mean to Variance (RMV) as the fitness function of GPSO, and apply the proposed algorithm to the object-based hybrid multivariate alternative detection model. Two experiment cases on Worldview-2/3 images confirm that GPSO can significantly improve the speed of convergence, and effectively avoid the problem of premature convergence, relative to other feature selection algorithms. According to the accuracy evaluation of OBCD, GPSO is superior at overall accuracy (84.17% and 83.59%) and Kappa coefficient (0.6771 and 0.6314) than other algorithms. Moreover, the sensitivity analysis results show that the proposed algorithm is not easily influenced by the initial parameters, but the number of features to be selected and the size of the particle swarm would affect the algorithm. The comparison experiment results reveal that RMV is more suitable than other functions as the fitness function of GPSO-based feature selection algorithm.

  17. Decoding stimulus features in primate somatosensory cortex during perceptual categorization

    Science.gov (United States)

    Alvarez, Manuel; Zainos, Antonio; Romo, Ranulfo

    2015-01-01

    Neurons of the primary somatosensory cortex (S1) respond as functions of frequency or amplitude of a vibrotactile stimulus. However, whether S1 neurons encode both frequency and amplitude of the vibrotactile stimulus or whether each sensory feature is encoded by separate populations of S1 neurons is not known, To further address these questions, we recorded S1 neurons while trained monkeys categorized only one sensory feature of the vibrotactile stimulus: frequency, amplitude, or duration. The results suggest a hierarchical encoding scheme in S1: from neurons that encode all sensory features of the vibrotactile stimulus to neurons that encode only one sensory feature. We hypothesize that the dynamic representation of each sensory feature in S1 might serve for further downstream processing that leads to the monkey’s psychophysical behavior observed in these tasks. PMID:25825711

  18. Acoustic features of objects matched by an echolocating bottlenose dolphin.

    Science.gov (United States)

    Delong, Caroline M; Au, Whitlow W L; Lemonds, David W; Harley, Heidi E; Roitblat, Herbert L

    2006-03-01

    The focus of this study was to investigate how dolphins use acoustic features in returning echolocation signals to discriminate among objects. An echolocating dolphin performed a match-to-sample task with objects that varied in size, shape, material, and texture. After the task was completed, the features of the object echoes were measured (e.g., target strength, peak frequency). The dolphin's error patterns were examined in conjunction with the between-object variation in acoustic features to identify the acoustic features that the dolphin used to discriminate among the objects. The present study explored two hypotheses regarding the way dolphins use acoustic information in echoes: (1) use of a single feature, or (2) use of a linear combination of multiple features. The results suggested that dolphins do not use a single feature across all object sets or a linear combination of six echo features. Five features appeared to be important to the dolphin on four or more sets: the echo spectrum shape, the pattern of changes in target strength and number of highlights as a function of object orientation, and peak and center frequency. These data suggest that dolphins use multiple features and integrate information across echoes from a range of object orientations.

  19. Featuring animacy

    Directory of Open Access Journals (Sweden)

    Elizabeth Ritter

    2015-01-01

    Full Text Available Algonquian languages are famous for their animacy-based grammatical properties—an animacy based noun classification system and direct/inverse system which gives rise to animacy hierarchy effects in the determination of verb agreement. In this paper I provide new evidence for the proposal that the distinctive properties of these languages is due to the use of participant-based features, rather than spatio-temporal ones, for both nominal and verbal functional categories (Ritter & Wiltschko 2009, 2014. Building on Wiltschko (2012, I develop a formal treatment of the Blackfoot aspectual system that assumes a category Inner Aspect (cf. MacDonald 2008, Travis 1991, 2010. Focusing on lexical aspect in Blackfoot, I demonstrate that the classification of both nouns (Seinsarten and verbs (Aktionsarten is based on animacy, rather than boundedness, resulting in a strikingly different aspectual system for both categories. 

  20. Large-scale lithography for sub-500nm features

    International Nuclear Information System (INIS)

    Pelzer, R L; Steininger, T; Belier, Benoit; Julie, Gwenaelle

    2006-01-01

    The interest in micro- and nanotechnologies has grown rapidly in the last years. The applications are versatile and different techniques found its way into several research domains as optics, electronics, magnetism, fluidics, etc. In all of these fields integration of more and more functions on steadily decreasing device dimensions lead to an increase in structural density and feature size. Expensive and slow processes utilizing projection steppers or e-beam direct writer equipment are used to fabricate nm features today. A high throughput and cost effective method adapted on a standard mask aligner will be demonstrated, making features of below 300nm available on wafer-level. We will demonstrate results of 4 different resists exposed on a DUV proximity aligner and plasma etched for optical and biological applications in the sub-300nm range

  1. Large-scale lithography for sub-500nm features

    Energy Technology Data Exchange (ETDEWEB)

    Pelzer, R L [Technology group, EV Group, DI Erich Thallner Str. 1, A-4780 Schaerding (Austria); Steininger, T [Technology group, EV Group, DI Erich Thallner Str. 1, A-4780 Schaerding (Austria); Belier, Benoit [CNRS, Institut d' Electronique Fondamentale, Universite Paris-Sud Bat 220, F- 91405 Orsay Cedex (France); Julie, Gwenaelle [CNRS, Institut d' Electronique Fondamentale, Universite Paris-Sud Bat 220, F- 91405 Orsay Cedex (France)

    2006-04-01

    The interest in micro- and nanotechnologies has grown rapidly in the last years. The applications are versatile and different techniques found its way into several research domains as optics, electronics, magnetism, fluidics, etc. In all of these fields integration of more and more functions on steadily decreasing device dimensions lead to an increase in structural density and feature size. Expensive and slow processes utilizing projection steppers or e-beam direct writer equipment are used to fabricate nm features today. A high throughput and cost effective method adapted on a standard mask aligner will be demonstrated, making features of below 300nm available on wafer-level. We will demonstrate results of 4 different resists exposed on a DUV proximity aligner and plasma etched for optical and biological applications in the sub-300nm range.

  2. An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach.

    Directory of Open Access Journals (Sweden)

    Zhila Esna Ashari

    Full Text Available Type IV secretion systems (T4SS are multi-protein complexes in a number of bacterial pathogens that can translocate proteins and DNA to the host. Most T4SSs function in conjugation and translocate DNA; however, approximately 13% function to secrete proteins, delivering effector proteins into the cytosol of eukaryotic host cells. Upon entry, these effectors manipulate the host cell's machinery for their own benefit, which can result in serious illness or death of the host. For this reason recognition of T4SS effectors has become an important subject. Much previous work has focused on verifying effectors experimentally, a costly endeavor in terms of money, time, and effort. Having good predictions for effectors will help to focus experimental validations and decrease testing costs. In recent years, several scoring and machine learning-based methods have been suggested for the purpose of predicting T4SS effector proteins. These methods have used different sets of features for prediction, and their predictions have been inconsistent. In this paper, an optimal set of features is presented for predicting T4SS effector proteins using a statistical approach. A thorough literature search was performed to find features that have been proposed. Feature values were calculated for datasets of known effectors and non-effectors for T4SS-containing pathogens for four genera with a sufficient number of known effectors, Legionella pneumophila, Coxiella burnetii, Brucella spp, and Bartonella spp. The features were ranked, and less important features were filtered out. Correlations between remaining features were removed, and dimensional reduction was accomplished using principal component analysis and factor analysis. Finally, the optimal features for each pathogen were chosen by building logistic regression models and evaluating each model. The results based on evaluation of our logistic regression models confirm the effectiveness of our four optimal sets of

  3. [Fanconi anemia: cellular and molecular features].

    Science.gov (United States)

    Macé, G; Briot, D; Guervilly, J-H; Rosselli, F

    2007-02-01

    Fanconi anemia (FA) is a recessive human cancer prone syndrome featuring bone marrow failure, developmental abnormalities and hypersensitivity to DNA crosslinking agents exposure. 11 among 12 FA gene have been isolated. The biochemical functions of the FANC proteins remain poorly understood. Anyhow, to cope with DNA crosslinks a cell needs a functional FANC pathway. Moreover, the FANC proteins appear to be involved in cell protection against oxidative damage and in the control of TNF-alpha activity. In this review, we describe the current understanding of the FANC pathway and we present how it may be integrated in the complex networks of proteins involved in maintaining the cellular homeostasis.

  4. Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions.

    Science.gov (United States)

    Reavis, Eric A; Frank, Sebastian M; Tse, Peter U

    2015-04-15

    Useful information in the visual environment is often contained in specific conjunctions of visual features (e.g., color and shape). The ability to quickly and accurately process such conjunctions can be learned. However, the neural mechanisms responsible for such learning remain largely unknown. It has been suggested that some forms of visual learning might involve the dopaminergic neuromodulatory system (Roelfsema et al., 2010; Seitz and Watanabe, 2005), but this hypothesis has not yet been directly tested. Here we test the hypothesis that learning visual feature conjunctions involves the dopaminergic system, using functional neuroimaging, genetic assays, and behavioral testing techniques. We use a correlative approach to evaluate potential associations between individual differences in visual feature conjunction learning rate and individual differences in dopaminergic function as indexed by neuroimaging and genetic markers. We find a significant correlation between activity in the caudate nucleus (a component of the dopaminergic system connected to visual areas of the brain) and visual feature conjunction learning rate. Specifically, individuals who showed a larger difference in activity between positive and negative feedback on an unrelated cognitive task, indicative of a more reactive dopaminergic system, learned visual feature conjunctions more quickly than those who showed a smaller activity difference. This finding supports the hypothesis that the dopaminergic system is involved in visual learning, and suggests that visual feature conjunction learning could be closely related to associative learning. However, no significant, reliable correlations were found between feature conjunction learning and genotype or dopaminergic activity in any other regions of interest. Copyright © 2015 Elsevier Inc. All rights reserved.

  5. Cancer microarray data feature selection using multi-objective binary particle swarm optimization algorithm

    Science.gov (United States)

    Annavarapu, Chandra Sekhara Rao; Dara, Suresh; Banka, Haider

    2016-01-01

    Cancer investigations in microarray data play a major role in cancer analysis and the treatment. Cancer microarray data consists of complex gene expressed patterns of cancer. In this article, a Multi-Objective Binary Particle Swarm Optimization (MOBPSO) algorithm is proposed for analyzing cancer gene expression data. Due to its high dimensionality, a fast heuristic based pre-processing technique is employed to reduce some of the crude domain features from the initial feature set. Since these pre-processed and reduced features are still high dimensional, the proposed MOBPSO algorithm is used for finding further feature subsets. The objective functions are suitably modeled by optimizing two conflicting objectives i.e., cardinality of feature subsets and distinctive capability of those selected subsets. As these two objective functions are conflicting in nature, they are more suitable for multi-objective modeling. The experiments are carried out on benchmark gene expression datasets, i.e., Colon, Lymphoma and Leukaemia available in literature. The performance of the selected feature subsets with their classification accuracy and validated using 10 fold cross validation techniques. A detailed comparative study is also made to show the betterment or competitiveness of the proposed algorithm. PMID:27822174

  6. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

    Directory of Open Access Journals (Sweden)

    Pachet François

    2009-01-01

    Full Text Available We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs, a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.

  7. MULTIMODAL CLASSIFICATION OF DEMENTIA USING FUNCTIONAL DATA, ANATOMICAL FEATURES AND 3D INVARIANT SHAPE DESCRIPTORS.

    Science.gov (United States)

    Mikhno, Arthur; Nuevo, Pablo Martinez; Devanand, Davangere P; Parsey, Ramin V; Laine, Andrew F

    2012-01-01

    Multimodality classification of Alzheimer's disease (AD) and its prodromal stage, Mild Cognitive Impairment (MCI), is of interest to the medical community. We improve on prior classification frameworks by incorporating multiple features from MRI and PET data obtained with multiple radioligands, fluorodeoxyglucose (FDG) and Pittsburg compound B (PIB). We also introduce a new MRI feature, invariant shape descriptors based on 3D Zernike moments applied to the hippocampus region. Classification performance is evaluated on data from 17 healthy controls (CTR), 22 MCI, and 17 AD subjects. Zernike significantly outperforms volume, accuracy (Zernike to volume): CTR/AD (90.7% to 71.6%), CTR/MCI (76.2% to 60.0%), MCI/AD (84.3% to 65.5%). Zernike also provides comparable and complementary performance to PET. Optimal accuracy is achieved when Zernike and PET features are combined (accuracy, specificity, sensitivity), CTR/AD (98.8%, 99.5%, 98.1%), CTR/MCI (84.3%, 82.9%, 85.9%) and MCI/AD (93.3%, 93.6%, 93.3%).

  8. Density Functional Theory Study on Defect Feature of AsGaGaAs in Gallium Arsenide

    Directory of Open Access Journals (Sweden)

    Deming Ma

    2015-01-01

    Full Text Available We investigate the defect feature of AsGaGaAs defect in gallium arsenide clusters in detail by using first-principles calculations based on the density functional theory (DFT. Our calculations reveal that the lowest donor level of AsGaGaAs defect on the gallium arsenide crystal surface is 0.85 eV below the conduction band minimum, while the lowest donor level of the AsGaGaAs defect inside the gallium arsenide bulk is 0.83 eV below the bottom of the conduction band, consistent with gallium arsenide EL2 defect level of experimental value (Ec-0.82 eV. This suggests that AsGaGaAs defect is one of the possible gallium arsenide EL2 deep-level defects. Moreover, our results also indicate that the formation energies of internal AsGaGaAs and surface AsGaGaAs defects are predicted to be around 2.36 eV and 5.54 eV, respectively. This implies that formation of AsGaGaAs defect within the crystal is easier than that of surface. Our results offer assistance in discussing the structure of gallium arsenide deep-level defect and its effect on the material.

  9. Feature based Weld-Deposition for Additive Manufacturing of Complex Shapes

    Science.gov (United States)

    Panchagnula, Jayaprakash Sharma; Simhambhatla, Suryakumar

    2018-06-01

    Fabricating functional metal parts using Additive Manufacturing (AM) is a leading trend. However, realizing overhanging features has been a challenge due to the lack of support mechanism for metals. Powder-bed fusion techniques like, Selective Laser Sintering (SLS) employ easily-breakable-scaffolds made of the same material to realize the overhangs. However, the same approach is not extendible to deposition processes like laser or arc based direct energy deposition processes. Although it is possible to realize small overhangs by exploiting the inherent overhanging capability of the process or by blinding some small features like holes, the same cannot be extended for more complex geometries. The current work presents a novel approach for realizing complex overhanging features without the need of support structures. This is possible by using higher order kinematics and suitably aligning the overhang with the deposition direction. Feature based non-uniform slicing and non-uniform area-filling are some vital concepts required in realizing the same and are briefly discussed here. This method can be used to fabricate and/or repair fully dense and functional components for various engineering applications. Although this approach has been implemented for weld-deposition based system, the same can be extended to any other direct energy deposition processes also.

  10. Innovative safety features of the modular HTGR

    International Nuclear Information System (INIS)

    Silady, F.A.; Simon, W.A.

    1992-04-01

    In this document the innovative safety features of the MHTGR are reviewed by examining the safety response to events challenging the functions relied on to retain radionuclides within the coated fuel particles. A broad range of challenges to core heat removal are examined, including a loss of helium pressure and a simultaneous loss of forced cool of the core

  11. Search asymmetry: a diagnostic for preattentive processing of separable features.

    Science.gov (United States)

    Treisman, A; Souther, J

    1985-09-01

    The search rate for a target among distractors may vary dramatically depending on which stimulus plays the role of target and which that of distractors. For example, the time required to find a circle distinguished by an intersecting line is independent of the number of regular circles in the display, whereas the time to find a regular circle among circles with lines increases linearly with the number of distractors. The pattern of performance suggests parallel processing when the target has a unique distinguishing feature and serial self-terminating search when the target is distinguished only by the absence of a feature that is present in all the distractors. The results are consistent with feature-integration theory (Treisman & Gelade, 1980), which predicts that a single feature should be detected by the mere presence of activity in the relevant feature map, whereas tasks that require subjects to locate multiple instances of a feature demand focused attention. Search asymmetries may therefore offer a new diagnostic to identify the primitive features of early vision. Several candidate features are examined in this article: Colors, line ends or terminators, and closure (in the sense of a partly or wholly enclosed area) appear to be functional features; connectedness, intactness (absence of an intersecting line), and acute angles do not.

  12. Featureous: infrastructure for feature-centric analysis of object-oriented software

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2010-01-01

    The decentralized nature of collaborations between objects in object-oriented software makes it difficult to understand how user-observable program features are implemented and how their implementations relate to each other. It is worthwhile to improve this situation, since feature-centric program...... understanding and modification are essential during software evolution and maintenance. In this paper, we present an infrastructure built on top of the NetBeans IDE called Featureous that allows for rapid construction of tools for feature-centric analysis of object-oriented software. Our infrastructure...... encompasses a lightweight feature location mechanism, a number of analytical views and an API allowing for addition of third-party extensions. To form a common conceptual framework for future feature-centric extensions, we propose to structure feature centric analysis along three dimensions: perspective...

  13. Feature extraction from mammographic images using fast marching methods

    International Nuclear Information System (INIS)

    Bottigli, U.; Golosio, B.

    2002-01-01

    Features extraction from medical images represents a fundamental step for shape recognition and diagnostic support. The present work faces the problem of the detection of large features, such as massive lesions and organ contours, from mammographic images. The regions of interest are often characterized by an average grayness intensity that is different from the surrounding. In most cases, however, the desired features cannot be extracted by simple gray level thresholding, because of image noise and non-uniform density of the surrounding tissue. In this work, edge detection is achieved through the fast marching method (Level Set Methods and Fast Marching Methods, Cambridge University Press, Cambridge, 1999), which is based on the theory of interface evolution. Starting from a seed point in the shape of interest, a front is generated which evolves according to an appropriate speed function. Such function is expressed in terms of geometric properties of the evolving interface and of image properties, and should become zero when the front reaches the desired boundary. Some examples of application of such method to mammographic images from the CALMA database (Nucl. Instr. and Meth. A 460 (2001) 107) are presented here and discussed

  14. Combining Multiple Features for Text-Independent Writer Identification and Verification

    OpenAIRE

    Bulacu , Marius; Schomaker , Lambert

    2006-01-01

    http://www.suvisoft.com; In recent years, we proposed a number of new and very effective features for automatic writer identification and verification. They are probability distribution functions (PDFs) extracted from the handwriting images and characterize writer individuality independently of the textual content of the written samples. In this paper, we perform an extensive analysis of feature combinations. In our fusion scheme, the final unique distance between two handwritten samples is c...

  15. Simultaneous feature selection and classification via Minimax Probability Machine

    Directory of Open Access Journals (Sweden)

    Liming Yang

    2010-12-01

    Full Text Available This paper presents a novel method for simultaneous feature selection and classification by incorporating a robust L1-norm into the objective function of Minimax Probability Machine (MPM. A fractional programming framework is derived by using a bound on the misclassification error involving the mean and covariance of the data. Furthermore, the problems are solved by the Quadratic Interpolation method. Experiments show that our methods can select fewer features to improve the generalization compared to MPM, which illustrates the effectiveness of the proposed algorithms.

  16. Development of feature extraction analysis for a multi-functional optical profiling device applied to field engineering applications

    Science.gov (United States)

    Han, Xu; Xie, Guangping; Laflen, Brandon; Jia, Ming; Song, Guiju; Harding, Kevin G.

    2015-05-01

    In the real application environment of field engineering, a large variety of metrology tools are required by the technician to inspect part profile features. However, some of these tools are burdensome and only address a sole application or measurement. In other cases, standard tools lack the capability of accessing irregular profile features. Customers of field engineering want the next generation metrology devices to have the ability to replace the many current tools with one single device. This paper will describe a method based on the ring optical gage concept to the measurement of numerous kinds of profile features useful for the field technician. The ring optical system is composed of a collimated laser, a conical mirror and a CCD camera. To be useful for a wide range of applications, the ring optical system requires profile feature extraction algorithms and data manipulation directed toward real world applications in field operation. The paper will discuss such practical applications as measuring the non-ideal round hole with both off-centered and oblique axes. The algorithms needed to analyze other features such as measuring the width of gaps, radius of transition fillets, fall of step surfaces, and surface parallelism will also be discussed in this paper. With the assistance of image processing and geometric algorithms, these features can be extracted with a reasonable performance. Tailoring the feature extraction analysis to this specific gage offers the potential for a wider application base beyond simple inner diameter measurements. The paper will present experimental results that are compared with standard gages to prove the performance and feasibility of the analysis in real world field engineering. Potential accuracy improvement methods, a new dual ring design and future work will be discussed at the end of this paper.

  17. Looking for the hannibal behind the cannibal: current status of case research.

    Science.gov (United States)

    Sundt Gullhaugen, Aina; Aage Nøttestad, Jim

    2011-05-01

    The character Hannibal "the Cannibal" Lecter, best known from the motion picture The Silence of the Lambs from 1991, has become a cultural icon and model for later portrayals of seriously disturbed offenders. He displays key characteristics of the Psychopathy Checklist-Revised, such as arrogance, manipulation, callousness, and lack of remorse. From a clinical point of view, one of the most fascinating aspects with Lecter is his display of a variety of capacities alternating between cold-blooded predatory behavior, affection toward FBI special agent Starling, and mourning of the loss of his sister Mischa. Many authors have described the ruthless characteristics of the psychopath. Through the lens of object relations theory, this review systematically examines case descriptions of severely psychopathic offenders published between 1980 and March 2009. In contrast to the prevalent opinion, case material ( n = 11) demonstrates that severely psychopathic offenders do suffer from psychological pain.

  18. Feature Selection Methods for Zero-Shot Learning of Neural Activity

    Directory of Open Access Journals (Sweden)

    Carlos A. Caceres

    2017-06-01

    Full Text Available Dimensionality poses a serious challenge when making predictions from human neuroimaging data. Across imaging modalities, large pools of potential neural features (e.g., responses from particular voxels, electrodes, and temporal windows have to be related to typically limited sets of stimuli and samples. In recent years, zero-shot prediction models have been introduced for mapping between neural signals and semantic attributes, which allows for classification of stimulus classes not explicitly included in the training set. While choices about feature selection can have a substantial impact when closed-set accuracy, open-set robustness, and runtime are competing design objectives, no systematic study of feature selection for these models has been reported. Instead, a relatively straightforward feature stability approach has been adopted and successfully applied across models and imaging modalities. To characterize the tradeoffs in feature selection for zero-shot learning, we compared correlation-based stability to several other feature selection techniques on comparable data sets from two distinct imaging modalities: functional Magnetic Resonance Imaging and Electrocorticography. While most of the feature selection methods resulted in similar zero-shot prediction accuracies and spatial/spectral patterns of selected features, there was one exception; A novel feature/attribute correlation approach was able to achieve those accuracies with far fewer features, suggesting the potential for simpler prediction models that yield high zero-shot classification accuracy.

  19. Key Features of the Manufacturing Vision Development Process

    DEFF Research Database (Denmark)

    Dukovska-Popovska, Iskra; Riis, Jens Ove; Boer, Harry

    2005-01-01

    of action research. The methodology recommends wide participation of people from different hierarchical and functional positions, who engage in a relatively short, playful and creative process and come up with a vision (concept) for the future manufacturing system in the company. Based on three case studies......This paper discusses the key features of the process of Manufacturing Vision Development, a process that enables companies to develop their future manufacturing concept. The basis for the process is a generic five-phase methodology (Riis and Johansen 2003) developed as a result of ten years...... of companies going through the initial phases of the methodology, this research identified the key features of the Manufacturing Vision Development process. The paper elaborates the key features by defining them, discussing how and when they can appear, and how they influence the process....

  20. Feature Article

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education. Feature Article. Articles in Resonance – Journal of Science Education. Volume 1 Issue 1 January 1996 pp 80-85 Feature Article. What's New in Computers Windows 95 · Vijnan Shastri · More Details Fulltext PDF. Volume 1 Issue 1 January 1996 pp 86-89 Feature ...

  1. Featureous: A Tool for Feature-Centric Analysis of Java Software

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2010-01-01

    Feature-centric comprehension of source code is necessary for incorporating user-requested modifications during software evolution and maintenance. However, such comprehension is difficult to achieve in case of large object-oriented programs due to the size, complexity, and implicit character...... of mappings between features and source code. To support programmers in overcoming these difficulties, we present a feature-centric analysis tool, Featureous. Our tool extends the NetBeans IDE with mechanisms for efficient location of feature implementations in legacy source code, and an extensive analysis...

  2. Construction Method of the Topographical Features Model for Underwater Terrain Navigation

    Directory of Open Access Journals (Sweden)

    Wang Lihui

    2015-09-01

    Full Text Available Terrain database is the reference basic for autonomous underwater vehicle (AUV to implement underwater terrain navigation (UTN functions, and is the important part of building topographical features model for UTN. To investigate the feasibility and correlation of a variety of terrain parameters as terrain navigation information metrics, this paper described and analyzed the underwater terrain features and topography parameters calculation method. Proposing a comprehensive evaluation method for terrain navigation information, and constructing an underwater navigation information analysis model, which is associated with topographic features. Simulation results show that the underwater terrain features, are associated with UTN information directly or indirectly, also affect the terrain matching capture probability and the positioning accuracy directly.

  3. Enhanced regulatory sequence prediction using gapped k-mer features.

    Science.gov (United States)

    Ghandi, Mahmoud; Lee, Dongwon; Mohammad-Noori, Morteza; Beer, Michael A

    2014-07-01

    Oligomers of length k, or k-mers, are convenient and widely used features for modeling the properties and functions of DNA and protein sequences. However, k-mers suffer from the inherent limitation that if the parameter k is increased to resolve longer features, the probability of observing any specific k-mer becomes very small, and k-mer counts approach a binary variable, with most k-mers absent and a few present once. Thus, any statistical learning approach using k-mers as features becomes susceptible to noisy training set k-mer frequencies once k becomes large. To address this problem, we introduce alternative feature sets using gapped k-mers, a new classifier, gkm-SVM, and a general method for robust estimation of k-mer frequencies. To make the method applicable to large-scale genome wide applications, we develop an efficient tree data structure for computing the kernel matrix. We show that compared to our original kmer-SVM and alternative approaches, our gkm-SVM predicts functional genomic regulatory elements and tissue specific enhancers with significantly improved accuracy, increasing the precision by up to a factor of two. We then show that gkm-SVM consistently outperforms kmer-SVM on human ENCODE ChIP-seq datasets, and further demonstrate the general utility of our method using a Naïve-Bayes classifier. Although developed for regulatory sequence analysis, these methods can be applied to any sequence classification problem.

  4. Enhanced regulatory sequence prediction using gapped k-mer features.

    Directory of Open Access Journals (Sweden)

    Mahmoud Ghandi

    2014-07-01

    Full Text Available Oligomers of length k, or k-mers, are convenient and widely used features for modeling the properties and functions of DNA and protein sequences. However, k-mers suffer from the inherent limitation that if the parameter k is increased to resolve longer features, the probability of observing any specific k-mer becomes very small, and k-mer counts approach a binary variable, with most k-mers absent and a few present once. Thus, any statistical learning approach using k-mers as features becomes susceptible to noisy training set k-mer frequencies once k becomes large. To address this problem, we introduce alternative feature sets using gapped k-mers, a new classifier, gkm-SVM, and a general method for robust estimation of k-mer frequencies. To make the method applicable to large-scale genome wide applications, we develop an efficient tree data structure for computing the kernel matrix. We show that compared to our original kmer-SVM and alternative approaches, our gkm-SVM predicts functional genomic regulatory elements and tissue specific enhancers with significantly improved accuracy, increasing the precision by up to a factor of two. We then show that gkm-SVM consistently outperforms kmer-SVM on human ENCODE ChIP-seq datasets, and further demonstrate the general utility of our method using a Naïve-Bayes classifier. Although developed for regulatory sequence analysis, these methods can be applied to any sequence classification problem.

  5. A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization.

    Science.gov (United States)

    He, Xiaofei; Ji, Ming; Zhang, Chiyuan; Bao, Hujun

    2011-10-01

    In many information processing tasks, one is often confronted with very high-dimensional data. Feature selection techniques are designed to find the meaningful feature subset of the original features which can facilitate clustering, classification, and retrieval. In this paper, we consider the feature selection problem in unsupervised learning scenarios, which is particularly difficult due to the absence of class labels that would guide the search for relevant information. Based on Laplacian regularized least squares, which finds a smooth function on the data manifold and minimizes the empirical loss, we propose two novel feature selection algorithms which aim to minimize the expected prediction error of the regularized regression model. Specifically, we select those features such that the size of the parameter covariance matrix of the regularized regression model is minimized. Motivated from experimental design, we use trace and determinant operators to measure the size of the covariance matrix. Efficient computational schemes are also introduced to solve the corresponding optimization problems. Extensive experimental results over various real-life data sets have demonstrated the superiority of the proposed algorithms.

  6. Sparse Bayesian classification and feature selection for biological expression data with high correlations.

    Directory of Open Access Journals (Sweden)

    Xian Yang

    Full Text Available Classification models built on biological expression data are increasingly used to predict distinct disease subtypes. Selected features that separate sample groups can be the candidates of biomarkers, helping us to discover biological functions/pathways. However, three challenges are associated with building a robust classification and feature selection model: 1 the number of significant biomarkers is much smaller than that of measured features for which the search will be exhaustive; 2 current biological expression data are big in both sample size and feature size which will worsen the scalability of any search algorithms; and 3 expression profiles of certain features are typically highly correlated which may prevent to distinguish the predominant features. Unfortunately, most of the existing algorithms are partially addressing part of these challenges but not as a whole. In this paper, we propose a unified framework to address the above challenges. The classification and feature selection problem is first formulated as a nonconvex optimisation problem. Then the problem is relaxed and solved iteratively by a sequence of convex optimisation procedures which can be distributed computed and therefore allows the efficient implementation on advanced infrastructures. To illustrate the competence of our method over others, we first analyse a randomly generated simulation dataset under various conditions. We then analyse a real gene expression dataset on embryonal tumour. Further downstream analysis, such as functional annotation and pathway analysis, are performed on the selected features which elucidate several biological findings.

  7. Extracting Intrinsic Functional Networks with Feature-Based Group Independent Component Analysis

    Science.gov (United States)

    Calhoun, Vince D.; Allen, Elena

    2013-01-01

    There is increasing use of functional imaging data to understand the macro-connectome of the human brain. Of particular interest is the structure and function of intrinsic networks (regions exhibiting temporally coherent activity both at rest and while a task is being performed), which account for a significant portion of the variance in…

  8. Strategy of Trade-Reliable Featured Product Supporting Regional Innovation Systems

    Science.gov (United States)

    Riskiawan, H. Y.; Purnomo, B. H.; Abdurahman, A.; Hariono, B.; Puspitasari, T. D.

    2018-01-01

    Pacitan, Ponorogo, and Magetan had planned the development of featured products as contained in the Medium Term Development Plan (MTDP) until 2020. The focus of development is almost similar to featured products derived from agribusiness, food processing, handycrafts, and tourism. The geographical proximity results characteristics of natural resources and social culture have similarities, including the type of featured products, constraints, problems, and opportunities for development. Given the characteristics and the support system of some featured products contained in these three regions have a lot in common and their functional interactions involving actors from across the region, it is necessary to develop cross-jurisdictional policy. The resulting strategy should be able to support the development of Regional Innovation System (RIS). The purpose of this research is 1) Determining featured product cross-regional between Pacitan regency; Ponorogo and Magetan districts in support of RIS development; and 2) Designing a featured product development strategy using supply chain management in order to drive the local economy. Based on the results of research conducted, featured products across the region that have potentiality to be developed are: processed products of “janggelan” leather products, and woven bamboo.

  9. Core analysis: new features and applications

    International Nuclear Information System (INIS)

    Edenius, M.; Kurcyusz, E.; Molina, D.; Wiksell, G.

    1995-01-01

    Today, core analysis may be performed with sophisticated software capable of both steady state and transient analysis using a common methodology for BWRs and PWRs. General trends in core analysis software development are: improved accuracy, automated engineering functions; three-dimensional transient capability; graphical user interfaces. As a demonstration of such software, new features of Studsvik-CMS (Core management system) and examples of applications are discussed in this article. 2 figs., 8 refs

  10. Rhetorical Features of the Company Website

    DEFF Research Database (Denmark)

    Nielsen, Anne Ellerup

    2002-01-01

    will discuss the functional and the compositional aspects of corporate communication on the World Wide Web by comparing company websites with traditional market communication media. I will focus on linguistic and visual features of the company website and briefly account for some of the media constraints......Recent years have seen a growing body of literature ceoncerned with the World Wide Web as a new form of communication, and numerous discussions on composition, structure and design of successful company websites are being held in all kinds of forums within and outside the Internet. However, most...... these discussions seem to focus on the technological properties of the Internet or tend to serve purely practical purposes and only few researchers discuss the rhetorical features of web communication, the exception being a litited number of researchers dealing with metaphors on the Web. In this paper I...

  11. Towards benchmarking citizen observatories: Features and functioning of online amateur weather networks.

    Science.gov (United States)

    Gharesifard, Mohammad; Wehn, Uta; van der Zaag, Pieter

    2017-05-15

    Crowd-sourced environmental observations are increasingly being considered as having the potential to enhance the spatial and temporal resolution of current data streams from terrestrial and areal sensors. The rapid diffusion of ICTs during the past decades has facilitated the process of data collection and sharing by the general public and has resulted in the formation of various online environmental citizen observatory networks. Online amateur weather networks are a particular example of such ICT-mediated observatories that are rooted in one of the oldest and most widely practiced citizen science activities, namely amateur weather observation. The objective of this paper is to introduce a conceptual framework that enables a systematic review of the features and functioning of these expanding networks. This is done by considering distinct dimensions, namely the geographic scope and types of participants, the network's establishment mechanism, revenue stream(s), existing communication paradigm, efforts required by data sharers, support offered by platform providers, and issues such as data accessibility, availability and quality. An in-depth understanding of these dimensions helps to analyze various dynamics such as interactions between different stakeholders, motivations to run the networks, and their sustainability. This framework is then utilized to perform a critical review of six existing online amateur weather networks based on publicly available data. The main findings of this analysis suggest that: (1) there are several key stakeholders such as emergency services and local authorities that are not (yet) engaged in these networks; (2) the revenue stream(s) of online amateur weather networks is one of the least discussed but arguably most important dimensions that is crucial for the sustainability of these networks; and (3) all of the networks included in this study have one or more explicit modes of bi-directional communication, however, this is limited to

  12. Feature study of hysterical blindness EEG based on FastICA with combined-channel information.

    Science.gov (United States)

    Qin, Xuying; Wang, Wei; Hu, Lintao; Wang, Xu; Yuan, Xiaojie

    2015-01-01

    An appropriate feature study of hysteria electroencephalograms (EEG) would provide new insights into neural mechanisms of the disease, and also make improvements in patient diagnosis and management. The objective of this paper is to provide an explanation for what causes a particular visual loss, by associating the features of hysterical blindness EEG with brain function. An idea for the novel feature extraction for hysterical blindness EEG, utilizing combined-channel information, was applied in this paper. After channels had been combined, the sliding-window-FastICA was applied to process the combined normal EEG and hysteria EEG, respectively. Kurtosis features were calculated from the processed signals. As the comparison feature, the power spectral density of normal and hysteria EEG were computed. According to the feature analysis results, a region of brain dysfunction was located at the occipital lobe, O1 and O2. Furthermore, new abnormality was found at the parietal lobe, C3, C4, P3, and P4, that provided us with a new perspective for understanding hysterical blindness. Indicated by the kurtosis results which were consistent with brain function and the clinical diagnosis, our method was found to be a useful tool to capture features in hysterical blindness EEG.

  13. An Efficient Cost-Sensitive Feature Selection Using Chaos Genetic Algorithm for Class Imbalance Problem

    Directory of Open Access Journals (Sweden)

    Jing Bian

    2016-01-01

    Full Text Available In the era of big data, feature selection is an essential process in machine learning. Although the class imbalance problem has recently attracted a great deal of attention, little effort has been undertaken to develop feature selection techniques. In addition, most applications involving feature selection focus on classification accuracy but not cost, although costs are important. To cope with imbalance problems, we developed a cost-sensitive feature selection algorithm that adds the cost-based evaluation function of a filter feature selection using a chaos genetic algorithm, referred to as CSFSG. The evaluation function considers both feature-acquiring costs (test costs and misclassification costs in the field of network security, thereby weakening the influence of many instances from the majority of classes in large-scale datasets. The CSFSG algorithm reduces the total cost of feature selection and trades off both factors. The behavior of the CSFSG algorithm is tested on a large-scale dataset of network security, using two kinds of classifiers: C4.5 and k-nearest neighbor (KNN. The results of the experimental research show that the approach is efficient and able to effectively improve classification accuracy and to decrease classification time. In addition, the results of our method are more promising than the results of other cost-sensitive feature selection algorithms.

  14. PyEEG: an open source Python module for EEG/MEG feature extraction.

    Science.gov (United States)

    Bao, Forrest Sheng; Liu, Xin; Zhang, Christina

    2011-01-01

    Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction.

  15. Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

    Directory of Open Access Journals (Sweden)

    Chen Xing

    2016-01-01

    Full Text Available Deep learning methods have been successfully applied to learn feature representations for high-dimensional data, where the learned features are able to reveal the nonlinear properties exhibited in the data. In this paper, deep learning method is exploited for feature extraction of hyperspectral data, and the extracted features can provide good discriminability for classification task. Training a deep network for feature extraction and classification includes unsupervised pretraining and supervised fine-tuning. We utilized stacked denoise autoencoder (SDAE method to pretrain the network, which is robust to noise. In the top layer of the network, logistic regression (LR approach is utilized to perform supervised fine-tuning and classification. Since sparsity of features might improve the separation capability, we utilized rectified linear unit (ReLU as activation function in SDAE to extract high level and sparse features. Experimental results using Hyperion, AVIRIS, and ROSIS hyperspectral data demonstrated that the SDAE pretraining in conjunction with the LR fine-tuning and classification (SDAE_LR can achieve higher accuracies than the popular support vector machine (SVM classifier.

  16. Classification of Broken Rice Kernels using 12D Features

    Directory of Open Access Journals (Sweden)

    SUNDER ALI KHOWAJA

    2016-07-01

    Full Text Available Integrating the technological aspect for assessment of rice quality is very much needed for the Asian markets where rice is one of the major exports. Methods based on image analysis has been proposed for automated quality assessment by taking into account some of the textural features. These features are good at classifying when rice grains are scanned in controlled environment but it is not suitable for practical implementation. Rice grains are placed randomly on the scanner which neither maintains the uniformity in intensity regions nor the placement strategy is kept ideal thus resulting in false classification of grains. The aim of this research is to propose a method for extracting set of features which can overcome the said issues. This paper uses morphological features along-with gray level and Hough transform based features to overcome the false classification in the existing methods. RBF (Radial Basis function is used as a classification mechanism to classify between complete grains and broken grains. Furthermore the broken grains are classified into two classes? i.e. acceptable grains and non-acceptable grains. This research also uses image enhancement technique prior to the feature extraction and classification process based on top-hat transformation. The proposed method has been simulated in MATLAB to visually analyze and validate the results.

  17. A redundancy-removing feature selection algorithm for nominal data

    Directory of Open Access Journals (Sweden)

    Zhihua Li

    2015-10-01

    Full Text Available No order correlation or similarity metric exists in nominal data, and there will always be more redundancy in a nominal dataset, which means that an efficient mutual information-based nominal-data feature selection method is relatively difficult to find. In this paper, a nominal-data feature selection method based on mutual information without data transformation, called the redundancy-removing more relevance less redundancy algorithm, is proposed. By forming several new information-related definitions and the corresponding computational methods, the proposed method can compute the information-related amount of nominal data directly. Furthermore, by creating a new evaluation function that considers both the relevance and the redundancy globally, the new feature selection method can evaluate the importance of each nominal-data feature. Although the presented feature selection method takes commonly used MIFS-like forms, it is capable of handling high-dimensional datasets without expensive computations. We perform extensive experimental comparisons of the proposed algorithm and other methods using three benchmarking nominal datasets with two different classifiers. The experimental results demonstrate the average advantage of the presented algorithm over the well-known NMIFS algorithm in terms of the feature selection and classification accuracy, which indicates that the proposed method has a promising performance.

  18. Obstructive sleep apnea screening by integrating snore feature classes

    International Nuclear Information System (INIS)

    Abeyratne, U R; De Silva, S; Hukins, C; Duce, B

    2013-01-01

    Obstructive sleep apnea (OSA) is a serious sleep disorder with high community prevalence. More than 80% of OSA suffers remain undiagnosed. Polysomnography (PSG) is the current reference standard used for OSA diagnosis. It is expensive, inconvenient and demands the extensive involvement of a sleep technologist. At present, a low cost, unattended, convenient OSA screening technique is an urgent requirement. Snoring is always almost associated with OSA and is one of the earliest nocturnal symptoms. With the onset of sleep, the upper airway undergoes both functional and structural changes, leading to spatially and temporally distributed sites conducive to snore sound (SS) generation. The goal of this paper is to investigate the possibility of developing a snore based multi-feature class OSA screening tool by integrating snore features that capture functional, structural, and spatio-temporal dependences of SS. In this paper, we focused our attention to the features in voiced parts of a snore, where quasi-repetitive packets of energy are visible. Individual snore feature classes were then optimized using logistic regression for optimum OSA diagnostic performance. Consequently, all feature classes were integrated and optimized to obtain optimum OSA classification sensitivity and specificity. We also augmented snore features with neck circumference, which is a one-time measurement readily available at no extra cost. The performance of the proposed method was evaluated using snore recordings from 86 subjects (51 males and 35 females). Data from each subject consisted of 6–8 h long sound recordings, made concurrently with routine PSG in a clinical sleep laboratory. Clinical diagnosis supported by standard PSG was used as the reference diagnosis to compare our results against. Our proposed techniques resulted in a sensitivity of 93±9% with specificity 93±9% for females and sensitivity of 92±6% with specificity 93±7% for males at an AHI decision threshold of 15 events

  19. Dream features in the early stages of Parkinson's disease.

    Science.gov (United States)

    Bugalho, Paulo; Paiva, Teresa

    2011-11-01

    Few studies have investigated the relation between dream features and cognition in Parkinson's disease (PD), although vivid dreams, hallucinations and cognitive decline have been proposed as successive steps of a pathological continuum. Our objectives were therefore to characterize the dreams of early stage PD and to study the relation between dream characteristics, cognitive function, motor status, depression, dopaminergic treatment, and the presence of REM sleep behaviour disorder (RBD) and hallucinations. Dreams of 19 male PD patients and 21 matched control subjects were classified according to Hall and van de Castle system. h statistics was used to compare the dream content between patients and controls. We tested the relation between patients' dreams characteristics and cognitive function (Frontal assessment battery (FAB) and Mini-Mental State Examination tests) depression (Beck depression inventory), motor function (UPDRS), dopaminergic treatment, the presence of RBD (according to clinical criteria) and hallucinations, using general linear model statistics. Patients and controls differed only on FAB scores. Relevant differences in the Hall and van de Castle scale were found between patient's dreams and those of the control group, regarding animals, aggression/friendliness, physical aggression, befriender (higher in the patient group) and aggressor and bodily misfortunes (lower in the patient group) features. Cognitive and particularly frontal dysfunction had a significant influence on the frequency of physical aggression and animal related features, while dopaminergic doses, depressive symptoms, hallucinations and RBD did not. We found a pattern of dream alteration characterized by heightened aggressiveness and the presence of animals. These were related to more severe frontal dysfunction, which could be the origin of such changes.

  20. Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation

    Science.gov (United States)

    Kiechle, Martin; Storath, Martin; Weinmann, Andreas; Kleinsteuber, Martin

    2018-04-01

    Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task. Therefore, it is desirable to automatically adapt the features to a certain image or class of images. Typically, this requires a large set of training images with similar textures and ground truth segmentation. In this work, we propose a framework to learn features for texture segmentation when no such training data is available. The cost function for our learning process is constructed to match a commonly used segmentation model, the piecewise constant Mumford-Shah model. This means that the features are learned such that they provide an approximately piecewise constant feature image with a small jump set. Based on this idea, we develop a two-stage algorithm which first learns suitable convolutional features and then performs a segmentation. We note that the features can be learned from a small set of images, from a single image, or even from image patches. The proposed method achieves a competitive rank in the Prague texture segmentation benchmark, and it is effective for segmenting histological images.