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Sample records for neurological basis eeg

  1. EEG in Sarcoidosis Patients Without Neurological Findings.

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    Bilgin Topçuoğlu, Özgür; Kavas, Murat; Öztaş, Selahattin; Arınç, Sibel; Afşar, Gülgün; Saraç, Sema; Midi, İpek

    2017-01-01

    Sarcoidosis is a multisystem granulomatous disease affecting nervous system in 5% to 10% of patients. Magnetic resonance imaging (MRI) is accepted as the most sensitive method for detecting neurosarcoidosis. However, the most common findings in MRI are the nonspecific white matter lesions, which may be unrelated to sarcoidosis and can occur because of hypertension, diabetes mellitus, smoking, and other inflammatory or infectious disorders, as well. Autopsy studies report more frequent neurological involvement than the ante mortem studies. The aim of this study is to assess electroencephalography (EEG) in sarcoidosis patients without neurological findings in order to display asymptomatic neurological dysfunction. We performed EEG on 30 sarcoidosis patients without diagnosis of neurosarcoidosis or prior neurological comorbidities. Fourteen patients (46.7%) showed intermittant focal and/or generalized slowings while awake and not mentally activated. Seven (50%) of these 14 patients with EEG slowings had nonspecific white matter changes while the other half showed EEG slowings in the absence of MRI changes. We conclude that EEG slowings, when normal variants (psychomotor variant, temporal theta of elderly, frontal theta waves) are eliminated, may be an indicator of dysfunction in brain activity even in the absence of MRI findings. Hence, EEG may contribute toward detecting asymptomatic neurological dysfunction or probable future neurological involvement in sarcoidosis patients. © EEG and Clinical Neuroscience Society (ECNS) 2016.

  2. Screening EEG in Aircrew Selection: Clinical Aerospace Neurology Perspective

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    Clark, Jonathan B.; Riley, Terrence

    2001-01-01

    .0139% (4/28627). After review of the value of the EEG as a screening tool, the US Navy now uses EEG only for certain clinical indications (head injury, unexplained loss of consciousness, family history of epilepsy, and abnormal neurological exam). Currently the US Navy does not use EEG for screening for any flight applicant without a neurologic indication. In the US Navy, an electroencephalographic pattern is determined to be epileptiform by a neurologist.

  3. Expanding the neurological examination using functional neurologic assessment: part II neurologic basis of applied kinesiology.

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    Schmitt, W H; Yanuck, S F

    1999-03-01

    Functional Neurologic Assessment and treatment methods common to the practice of applied kinesiology are presented. These methods are proposed to enhance neurological examination and treatment procedures toward more effective assessment and care of functional impairment. A neurologic model for these procedures is proposed. Manual assessment of muscular function is used to identify changes associated with facilitation and inhibition, in response to the introduction of sensory receptor-based stimuli. Muscle testing responses to sensory stimulation of known value are compared with usually predictable patterns based on known neuroanatomy and neurophysiology, guiding the clinician to an understanding of the functional status of the patient's nervous system. These assessment procedures are used in addition to other standard diagnostic measures to augment rather than replace the existing diagnostic armamentarium. The proper understanding of the neurophysiologic basis of muscle testing procedures will assist in the design of further investigations into applied kinesiology. Accordingly, the neurophysiologic basis and proposed mechanisms of these methods are reviewed.

  4. An effective automated method for teaching EEG interpretation to neurology residents.

    Science.gov (United States)

    Weber, Daniel; McCarthy, David; Pathmanathan, Jay

    2016-08-01

    EEG interpretation is a fundamental procedural skill in the practice of neurology, but there is no standardized method for educating residents. One-to-one instruction is commonly employed, but is time intensive for supervising physicians, provides arbitrary exposure to normal and abnormal EEG patterns, and often lacks immediate and detailed feedback on performance. Here, we investigated the effectiveness of a novel automated program to assist in educating neurology residents in EEG interpretation. An EEG teaching program was developed to provide neurology residents EEG training less dependent on attending supervision. Residents enter interpretations of full-length pre-selected EEGs and receive immediate feedback based on consensus interpretation of supervising epileptologists. Resident learning was assessed based on performance on matched pre- and post-tests covering common EEG findings including artifacts, normal variants, and abnormalities. Twenty residents were included in this analysis: 12 post-graduate year (PGY) 3 and eight PGY 4 neurology residents. All residents showed improvement, from a mean score of 42.7% (95% CI 36.9-48.5%) on the pre-test to 75.4% (95% CI 70.7-80.2%) on the post-test (pteaching module spread over a 3-week rotation. This pilot study demonstrated the effectiveness of an automated EEG teaching program used by neurology residents in training. This tool could serve as an effective method of supplementing resident education. Copyright © 2016 British Epilepsy Association. All rights reserved.

  5. Investigations into the neurologic basis of narcolepsy.

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    Guilleminault, C; Heinzer, R; Mignot, E; Black, J

    1998-02-01

    The understanding of narcolepsy has been enhanced by neurophysiologic investigations in humans and by pharmacologic and biochemical studies using the canine model of narcolepsy. Repetitive microsleeps have a more deleterious effect on performance than several short complete naps during the day. Under normal living conditions, the nocturnal sleep of narcoleptic patients is disrupted, and the spectral analysis of central EEG leads shows less delta power density per epoch than it does in age-matched controls, who have an absence or decrease of the usual decay in delta power across the night. Cataplexy is associated with a drop in H-reflex, even during partial cataplectic attacks. Monitoring of heart rate and intra-arterial blood pressure during cataplexy in humans shows a decrease in heart rate and an increase in blood pressure with onset of cataplexy, but the change in heart rate is secondary to the change in blood pressure. Investigations of narcoleptic Doberman pinschers have implicated several neurotransmitters in the brainstem and amygdala. In vivo dialysis and in situ injections of carbachol indicate that the pontine reticular formation is not the only muscarinic cholinergic region involved, but data support the existence of a multisynaptic descending pathway involved in the muscle atonia of cataplexy. Carbachol injections into the basal forebrain induce status cataplecticus. Experimental findings suggest a hypersensitivity of the overall muscarinic cholinergic system and that this hypersensitive cholinergic system is linked to the limbic system. An increase in the postsynaptic D2 dopaminergic receptor is observed in the amygdala of narcoleptic dogs compared with controls, with impairment of dopamine release. The associated findings suggest that an abnormal cholinergic-dopaminergic interaction could underlie the pathophysiology of narcolepsy.

  6. Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design.

    Science.gov (United States)

    Westhall, Erik; Rosén, Ingmar; Rossetti, Andrea O; van Rootselaar, Anne-Fleur; Kjaer, Troels Wesenberg; Horn, Janneke; Ullén, Susann; Friberg, Hans; Nielsen, Niklas; Cronberg, Tobias

    2014-08-16

    Electroencephalography (EEG) is widely used to assess neurological prognosis in patients who are comatose after cardiac arrest, but its value is limited by varying definitions of pathological patterns and by inter-rater variability. The American Clinical Neurophysiology Society (ACNS) has recently proposed a standardized EEG-terminology for critical care to address these limitations. In the TTM-trial, 399 post cardiac arrest patients who remained comatose after rewarming underwent a routine EEG. The presence of clinical seizures, use of sedatives and antiepileptic drugs during the EEG-registration were prospectively documented. A well-defined terminology for interpreting post cardiac arrest EEGs is critical for the use of EEG as a prognostic tool. The TTM-trial is registered at ClinicalTrials.gov (NCT01020916).

  7. Tensor-based fusion of EEG and FMRI to understand neurological changes in Schizophrenia

    DEFF Research Database (Denmark)

    Evrim, Acar Ataman; Levin-Schwartz, Yuri; Calhoun, Vince D.

    2016-01-01

    Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide information about neurological functions in complementary spatiotemporal resolutions; therefore, fusion of these modalities is expected to provide better understanding of brain...... activity. In this paper, we jointly analyze fMRI and multi-channel EEG signals collected during an auditory oddball task with the goal of capturing brain activity patterns that differ between patients with schizophrenia and healthy controls. Rather than selecting a single electrode or matricizing the third......-order tensor that can be naturally used to represent multi-channel EEG signals, we preserve the multi-way structure of EEG data and use a coupled matrix and tensor factorization (CMTF) model to jointly analyze fMRI and EEG signals. Our analysis reveals that (i) joint analysis of EEG and fMRI using a CMTF model...

  8. Clinical utility of early amplitude integrated EEG in monitoring term newborns at risk of neurological injury

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    Paulina A. Toso

    2014-04-01

    Full Text Available OBJECTIVE: to test the clinical utility of an early amplitude-integrated electroencephalography (aEEG to predict short-term neurological outcome in term newborns at risk of neurology injury. METHODS: this was a prospective, descriptive study. The inclusion criteria were neonatal encephalopathy, neurologic disturbances, and severe respiratory distress syndrome. Sensitivity, specificity, positive and negative predictive values, and likelihood ratio (LR were calculated. Clinical and demographic data were analyzed. Neurological outcome was defined as the sum of clinical, electroimaging, and neuroimaging findings. RESULTS: ten of the 21 monitored infants (48% presented altered short-term neurologic outcome. The aEEG had 90% sensitivity, 82% specificity, 82% positive predictive value, and 90% negative predictive value. The positive LR was 4.95, and the negative LR was 0.12. In three of 12 (25% encephalopathic infants, the aEEG allowed for a better definition of the severity of their condition. Seizures were detected in eight infants (38%, all subclinical at baseline, and none had a normal aEEG background pattern. The status of three infants (43% evolved and required two or more drugs for treatment. CONCLUSIONS: in infants with encephalopathy or other severe illness, aEEG disturbances occur frequently. aEEG provided a better classification of the severity of encephalopathy, detected early subclinical seizures, and allowed for monitoring of the response to treatment. aEEG was a useful tool at the neonatal intensive care unit for predicting poor short-term neurological outcomes for all sick newborn.

  9. EEG Source Reconstruction using Sparse Basis Function Representations

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese; Hansen, Lars Kai

    2014-01-01

    State of the art performance of 3D EEG imaging is based on reconstruction using spatial basis function representations. In this work we augment the Variational Garrote (VG) approach for sparse approximation to incorporate spatial basis functions. As VG handles the bias variance trade-off with cross......-validation this approach is more automated than competing approaches such as Multiple Sparse Priors (Friston et al., 2008) or Champagne (Wipf et al., 2010) that require manual selection of noise level and auxiliary signal free data, respectively. Finally, we propose an unbiased estimator of the reproducibility...

  10. Combination of initial neurologic examination and continuous EEG to predict survival after cardiac arrest.

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    Youn, Chun Song; Callaway, Clifton W; Rittenberger, Jon C

    2015-09-01

    Prognosticating outcome following cardiac arrest requires a multimodal approach. We tested whether the combination of initial neurologic examination combined with continuous EEG was superior to either test alone for predicting survival after cardiac arrest. Review of consecutive patients receiving continuous EEG monitoring between April 2010 and June 2013. Initial neurologic examination was evaluated using the Full Outline of UnResponsiveness (FOUR) score and organ system dysfunction determined using the SOFA score. We defined four categories of initial post-cardiac arrest illness severity (PCAC): (I) awake, (II) coma (not following commands but intact brainstem responses) + mild cardiopulmonary dysfunction (SOFA cardiac + respiratory score cardiac + respiratory score ≥ 4), and (IV) coma without brainstem reflexes. A second analysis focusing on neurologic injury divided subjects into three groups according to initial FOUR_B score; FOUR_B = 0-1, FOUR_B = 2 and FOUR_B = 4. A blinded rater dichotomized continuous EEG patterns during the first 48h into malignant patterns (non-convulsive status epilepticus, convulsive status epilepticus, myoclonic status epilepticus and generalized periodic epileptiform discharges). The primary outcome was survival to hospital discharge. Of 331 subjects, mean age was 58 (SD 17) years and 206 (62.2%) subjects were male. Ventricular fibrillation or tachycardia (VF/VT) was the initial rhythm for 93 (28.1%) subjects. Among subjects with malignant cEEG, survival to hospital discharge rate was 0% for FOUR_B 0-1, 8.1% for FOUR_B 2 and 12.5% for FOUR_B 4, respectively. In one multivariate analysis, survival was independently associated with VF/VT, FOUR_B of 2, FOUR_B of 4, and non-malignant cEEG. In a separate model, survival was associated with VF/VT, PCAC cardiac arrest. We caution against using these findings to speed prognostication until they are externally validated. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  11. Reliability of EEG Interactions Differs between Measures and Is Specific for Neurological Diseases

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    Yvonne Höller

    2017-07-01

    Full Text Available Alterations of interaction (connectivity of the EEG reflect pathological processes in patients with neurologic disorders. Nevertheless, it is questionable whether these patterns are reliable over time in different measures of interaction and whether this reliability of the measures is the same across different patient populations. In order to address this topic we examined 22 patients with mild cognitive impairment, five patients with subjective cognitive complaints, six patients with right-lateralized temporal lobe epilepsy, seven patients with left lateralized temporal lobe epilepsy, and 20 healthy controls. We calculated 14 measures of interaction from two EEG-recordings separated by 2 weeks. In order to characterize test-retest reliability, we correlated these measures for each group and compared the correlations between measures and between groups. We found that both measures of interaction as well as groups differed from each other in terms of reliability. The strongest correlation coefficients were found for spectrum, coherence, and full frequency directed transfer function (average rho > 0.9. In the delta (2–4 Hz range, reliability was lower for mild cognitive impairment compared to healthy controls and left lateralized temporal lobe epilepsy. In the beta (13–30 Hz, gamma (31–80 Hz, and high gamma (81–125 Hz frequency ranges we found decreased reliability in subjective cognitive complaints compared to mild cognitive impairment. In the gamma and high gamma range we found increased reliability in left lateralized temporal lobe epilepsy patients compared to healthy controls. Our results emphasize the importance of documenting reliability of measures of interaction, which may vary considerably between measures, but also between patient populations. We suggest that studies claiming clinical usefulness of measures of interaction should provide information on the reliability of the results. In addition, differences between patient

  12. Epileptic Seizure Classification of EEGs using Time-Frequency Analysis based Multiscale Radial Basis Functions.

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    Li, Yang; Wang, Xu; Luo, Lin; Li, Ke; Yang, Xiao; Guo, Qi

    2017-03-10

    The automatic detection of epileptic seizures from electroencephalography (EEG) signals is crucial for the localization and classification of epileptic seizure activity. However, seizure processes are typically dynamic and nonstationary, and thus distinguishing rhythmic discharges from nonstationary processes is one of the challenging problems. In this paper, an adaptive and localized time-frequency representation in EEG signals is proposed by means of multiscale radial basis functions (MRBF) and a modified particle swarm optimization (MPSO) to improve both time and frequency resolution simultaneously, which is a novel MRBF-MPSO framework of the time-frequency feature extraction for epileptic EEG signals. The dimensionality of extracted features can be greatly reduced by the principle component analysis (PCA) algorithm before the most discriminative features selected are fed into a SVM classifier with the radial basis function (RBF) in order to separate epileptic seizure from seizure-free EEG signals. The classification performance of the proposed method has been evaluated by using several state-of-art feature extraction algorithms and other five different classifiers like linear discriminant analysis (LDA), and Logistic Regression (LR). The experimental results indicate that the proposed MRBF-MPSO-SVM classification method outperforms competing techniques in terms of classification accuracy, and show the effectiveness of the proposed method for classification of seizure epochs and seizure-free epochs.

  13. Music enhances spatial-temporal reasoning: towards a neurophysiological basis using EEG.

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    Shaw, G L; Bodner, M

    1999-10-01

    Motivated by predictions from the structured trion model of the cortex, based on Mountcastle's columnar organizational principle, behavioral experiments have demonstrated a causal short-term enhancement of spatial-temporal reasoning in college students following listening to a Mozart Sonata (K.448) but not in control conditions. An EEG coherence study reported presence of right frontal and left temporoparietal activity induced by listening to the Mozart Sonata, which carried over into the spatial-temporal tasks in three of the seven subjects. In this paper, we present further predictions from the trion model and discuss how the new SYMMETRIC analysis method can be used in EEG recordings to help determine the neurophysiological basis of specific music enhancing spatial-temporal reasoning. We conclude with potential clinical applications of major significance.

  14. Linking genes to neurological clinical practice: the genomic basis for neurorehabilitation.

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    Goldberg, Allon; Curtis, Catherine L; Kleim, Jeffrey A

    2015-01-01

    Large-scale genomics projects such as the Human Genome Project and the International HapMap Project promise significant advances in the ability to diagnose and treat many conditions, including those with a neurological basis. A major focus of research has emerged in the neurological sciences to elucidate the molecular and genetic basis of various neurological diseases. Indeed, genetic factors are implicated in susceptibility for many neurological disorders, with family history studies providing strong evidence of familial risk for conditions such as stroke, Parkinson's, Alzheimer's, and Huntington's diseases. Heritability studies also suggest a strong genetic contribution to the risk for neurological diseases. Genome-wide association studies are also uncovering novel genetic variants associated with neurological disorders. Whole-genome and exome sequencing are likely to provide novel insights into the genetic basis of neurological disorders. Genetic factors are similarly associated with clinical phenotypes such as symptom severity and progression as well as response to treatment. Specifically, disease progression and functional restoration depend, in part, on the capacity for neural plasticity within residual neural tissues. Furthermore, such plasticity may be influenced in part by the presence of polymorphisms in several genes known to orchestrate neural plasticity including brain-derived neurotrophic factor (BDNF) and Apolipoprotein E. (APOE). It is important for neurorehabilitation therapist practicing in the "genomic era" to be aware of the potential influence of genetic factors during clinical encounters, as advances in molecular sciences are revealing information of critical relevance to the clinical rehabilitation management of individuals with neurological conditions. Video Abstract available (See Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A88) for more insights from the authors.

  15. Improved Early Postresuscitation EEG Activity for Animals Treated with Hypothermia Predicted 96 hr Neurological Outcome and Survival in a Rat Model of Cardiac Arrest

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    Bihua Chen

    2013-01-01

    Full Text Available Purpose. To investigate the effect of hypothermia on 96 hr neurological outcome and survival by quantitatively characterizing early postresuscitation EEG in a rat model of cardiac arrest. Materials and Methods. In twenty male Sprague-Dawley rats, cardiac arrest was induced through high frequency transesophageal cardiac pacing. Cardiopulmonary resuscitation was initiated after 5 mins untreated arrest. Immediately after resuscitation, animals were randomized to either 2 hrs of hypothermia (N=10 or normothermia (N=10. EEG, ECG, aortic pressure, and core temperature were continuously recorded for 6 hrs. Neurological outcome was evaluated daily during the 96 hrs postresuscitation period. Results. No differences in the baseline measurements and resuscitation outcome were observed between groups. However, 96 hr neurological deficit score (204 ± 255 versus 500 ± 0, P=0.005 and survival (6/10 versus 0/10, P=0.011 were significantly better in the hypothermic group. Quantitative analysis of early postresuscitation EEG revealed that burst frequency and spectrum entropy were greatly improved in the hypothermic group and correlated with 96 hr neurological outcome and survival. Conclusion. The improved burst frequency during burst suppression period and preserved spectrum entropy after restoration of continuous background EEG activity for animals treated with hypothermia predicted favorable neurological outcome and survival in this rat model of cardiac arrest.

  16. Improved early postresuscitation EEG activity for animals treated with hypothermia predicted 96 hr neurological outcome and survival in a rat model of cardiac arrest.

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    Chen, Bihua; Song, Feng-Qing; Sun, Lei-Lei; Lei, Ling-Yan; Gan, Wei-Ni; Chen, Meng-Hua; Li, Yongqin

    2013-01-01

    To investigate the effect of hypothermia on 96 hr neurological outcome and survival by quantitatively characterizing early postresuscitation EEG in a rat model of cardiac arrest. In twenty male Sprague-Dawley rats, cardiac arrest was induced through high frequency transesophageal cardiac pacing. Cardiopulmonary resuscitation was initiated after 5 mins untreated arrest. Immediately after resuscitation, animals were randomized to either 2 hrs of hypothermia (N = 10) or normothermia (N = 10). EEG, ECG, aortic pressure, and core temperature were continuously recorded for 6 hrs. Neurological outcome was evaluated daily during the 96 hrs postresuscitation period. No differences in the baseline measurements and resuscitation outcome were observed between groups. However, 96 hr neurological deficit score (204 ± 255 versus 500 ± 0, P = 0.005) and survival (6/10 versus 0/10, P = 0.011) were significantly better in the hypothermic group. Quantitative analysis of early postresuscitation EEG revealed that burst frequency and spectrum entropy were greatly improved in the hypothermic group and correlated with 96 hr neurological outcome and survival. The improved burst frequency during burst suppression period and preserved spectrum entropy after restoration of continuous background EEG activity for animals treated with hypothermia predicted favorable neurological outcome and survival in this rat model of cardiac arrest.

  17. Multichannel EEG Visualization

    NARCIS (Netherlands)

    Caat, Michael ten

    2008-01-01

    Electroencephalography (EEG) measures electrical brain activity by electrodes attached to the scalp. Multichannel EEG refers to a measurement with a large number of electrodes. EEG has clinical as well as scientific applications, including neurology, psychology, pharmacy, linguistics, and biology.

  18. EEG

    Science.gov (United States)

    ... Saunders; 2013:chap E. Hahn CD, Emerson RG. Electroencephalography and evoked potentials. In: Daroff RB, Jankovic J, Mazziotta JC, Pomeroy SL, eds. Bradley's Neurology in Clinical Practice . 7th ed. Philadelphia, PA: Elsevier; 2016:chap 34. Review Date 2/27/2016 Updated by: Amit M. ...

  19. Harmony: EEG/MEG linear inverse source reconstruction in the anatomical basis of spherical harmonics.

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    Yury Petrov

    Full Text Available EEG/MEG source localization based on a "distributed solution" is severely underdetermined, because the number of sources is much larger than the number of measurements. In particular, this makes the solution strongly affected by sensor noise. A new way to constrain the problem is presented. By using the anatomical basis of spherical harmonics (or spherical splines instead of single dipoles the dimensionality of the inverse solution is greatly reduced without sacrificing the quality of the data fit. The smoothness of the resulting solution reduces the surface bias and scatter of the sources (incoherency compared to the popular minimum-norm algorithms where single-dipole basis is used (MNE, depth-weighted MNE, dSPM, sLORETA, LORETA, IBF and allows to efficiently reduce the effect of sensor noise. This approach, termed Harmony, performed well when applied to experimental data (two exemplars of early evoked potentials and showed better localization precision and solution coherence than the other tested algorithms when applied to realistically simulated data.

  20. Valor do EEG na caracterização e prognóstico de patologias neurológicas em recém-nascidos prematuros Relationship of EEG, neurological diseases and follow-up in preterm newborns

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    Magoa Lahorgue Nunes

    1995-09-01

    Full Text Available A importância do EEG na investigação de patologias neurológicas no período neonatal tem sido discutido com frequência na atualidade, pois muitas vezes este é o único meio de avaliar a função cerebral em recém-nascidos (RN com patologias graves ou sob efeito de medicações. O presente estudo foi realizado com 85 RN prematuros que apresentaram patologias neurológicas no período neonatal e foram submetidos a avaliação neurológica e eletrencefalográfica (EEG ou polissonografia -PS. Foram relacionadas alterações do EEG, patologias e prognóstico. Os EEGs foram classificados segundo as alterações da atividade de base, presença de atividade paroxística, organização dos estágios do sono e "maturidade". A patologia mais frequente foi asfixia perinatal (40%, seguida de hemorragia intra-ventricular (HIV, 16%. A queixa mais frequente na indicação do exame foi apnéia (71 %, seguida de convulsões (19%. Foram considerados normais 55% dos exames solicitados com queixa exclusiva de apnéia; dos exames solicitados por convulsões somente 31 % foram normais. A alteração do EEG mais frequentemente encontrada nos RN com asfixia, HIV e desnutrição intra-uterina foi a "imaturidade" da atividade elétrica cerebral. Nos RN com convulsões as alterações mais frequentes do EEG foram atividade paroxística anormal e "imaturidade". Os RN com infecção do sistema nervoso central apresentaram diversas alterações no EEG. Os achados de EEG mais correlacionados a mau prognóstico foram isoeletricidade e atividade paroxística anormal (100% dos casos com presença de ondas agudas positivas.The importance of the EEG for the investigation of neurological diseases in the neonatal period has been largely discussed, since it is often the only way to approach cerebral function in newborns with severe pathologies or under drug effect. The present study was carried out with 85 newborns (NB who presented perinatal dysfuntions and were submitted to

  1. [Klaus Joachim Zülch: Partner to neurosurgery, advocate of neurology and the neuropathological basis].

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    Mennel, H D

    2002-01-01

    Klaus Joachim Zülch (1910-1988) since 1959 head of a department of the german Max-Planck-Society, deeply influenced the neurological sciences in post-war Germany. The department with the name Abteilung für allgemeine Neurologie (i.e. department of general neurology) constituted a section of the renowned Max-Planck-Institut für Hirnforschung (i.e. institute for brain research) and found its place in Cologne. At the same time he was in charge of the local neurology unit of the municipal Cologne hospital, on the right Rhine riverside in Köln (Cologne) Merheim. In this double position he was able to focus his work as a neurologist on the major issues of this specialty, that at this time were not in the center of neurological interest: The connection of basic science i.e. morphology with important themes such as raised intracranial pressure, brain swelling and edema, brain and spinal chord circulation disturbances, head injuries and - in the first line - tumors of the central nervous system. This broad approach to essential issues in the field was probably due to his upbringing in german neurological tradition. His first contact with this specialty took place in Otfrid Foersters neurological clinic in Breslau, today in Poland, before World War II. Otfrid Foerster, a neurological encyclopedist, exerted a deep influence upon Klaus Joachim Zülch lifelong. Here he also came in contact with Percieval Bailey with whom he shared the obsession to classify brain tumors since then. This preoccupation became fruitful when he started collaboration with Wilhelm Tönnis 1936 at the time still in Würzburg. The collaboration continued, when Tönnis moved to Berlin, during and after World War II up to 1959, when Klaus Joachim Zülch became head of the mentioned department of the german Max-Planck-society. At this time, important contributions already existed concerning brain injuries, brain edema and tumor classification. The couple Wilhelm Tönnis and Klaus Joachim Zülch may

  2. The Nordic Five to Fifteen questionnaire could provide the basis for a common neurological disability variable

    DEFF Research Database (Denmark)

    Illum, Niels Ove; Gradel, Kim Oren

    2014-01-01

    in children. Our study evaluated its internal validity and whether it could be used to generate a common disability variable across childhood neurological disorders and severities. METHODS: The 28-statement FTF questionnaire was completed by the parents of children with spina bifida, muscular disorders...

  3. Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition.

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    Yang, Bang-hua; Yan, Guo-zheng; Yan, Rong-guo; Wu, Ting

    2006-12-01

    A method based on wavelet packet best basis decomposition (WPBBD) is investigated for the purpose of extracting features of electroencephalogram signals produced during motor imagery tasks in brain-computer interfaces. The method includes the following three steps. (1) Original signals are decomposed by wavelet packet transform (WPT) and a wavelet packet library can be formed. (2) The best basis for classification is selected from the library. (3) Subband energies included in the best basis are used as effective features. Three different motor imagery tasks are discriminated using the features. The WPBBD produces a 70.3% classification accuracy, which is 4.2% higher than that of the existing wavelet packet method.

  4. Feature extraction for EEG-based brain computer interfaces by wavelet packet best basis decomposition

    Science.gov (United States)

    Yang, Bang-hua; Yan, Guo-zheng; Yan, Rong-guo; Wu, Ting

    2006-12-01

    A method based on wavelet packet best basis decomposition (WPBBD) is investigated for the purpose of extracting features of electroencephalogram signals produced during motor imagery tasks in brain-computer interfaces. The method includes the following three steps. (1) Original signals are decomposed by wavelet packet transform (WPT) and a wavelet packet library can be formed. (2) The best basis for classification is selected from the library. (3) Subband energies included in the best basis are used as effective features. Three different motor imagery tasks are discriminated using the features. The WPBBD produces a 70.3% classification accuracy, which is 4.2% higher than that of the existing wavelet packet method.

  5. Neural basis for the brain responses to the marketing messages: an high resolution EEG study.

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    Babiloni, Fabio; Cincotti, Febo; Mattia, Donatella; Mattiocco, Marco; Bufalari, Simona; De Vico Fallani, Fabrizio; Tocci, Andrea; Bianchi, Luigi; Marciani, Maria Grazia; Meroni, Vittorio; Astolfi, Laura

    2006-01-01

    We investigated the behaviour of the brain during the visualization of commercial videos by tracking the cortical activity and the functional connectivity changes in normal subjects. High resolution EEG recordings were performed in a group of healthy subjects, and the cortical activity during the visualization of standard commercial spots and emotional spots (no profit companies) was estimated by using the solution of the linear inverse problem with the use of realistic head models. The cortical activity was evaluated in several regions of interest (ROIs) coincident with the Brodmann areas. The pattern of cortical connectivity was obtained by using the partial directed coherence (PDC) and investigated in the time and frequency domains, in the principal four frequency bands, namely the theta (4-7 Hz), the alpha (8-12 Hz), the beta (13-30 Hz) and the gamma (above 30 Hz). Results suggest a time-varying engagement of the orbitofrontal circuits that is thought to be involved in the reward value of the stimuli.

  6. Neural basis for brain responses to TV commercials: a high-resolution EEG study.

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    Astolfi, Laura; De Vico Fallani, F; Cincotti, F; Mattia, D; Bianchi, L; Marciani, M G; Salinari, S; Colosimo, A; Tocci, A; Soranzo, R; Babiloni, F

    2008-12-01

    We investigated brain activity during the observation of TV commercials by tracking the cortical activity and the functional connectivity changes in normal subjects. The aim was to elucidate if the TV commercials that were remembered by the subjects several days after their first observation elicited particular brain activity and connectivity compared with those generated during the observation of TV commercials that were quickly forgotten. High-resolution electroencephalogram (EEG) recordings were performed in a group of healthy subjects and the cortical activity during the observation of TV commercials was evaluated in several regions of interest coincident with the Brodmann areas (BAs). The patterns of cortical connectivity were obtained in the four principal frequency bands, Theta (3-7 Hz), Alpha (8-12 Hz), Beta (13-30 Hz), Gamma (30-40 Hz) and the directed influences between any given pair of the estimated cortical signals were evaluated by use of a multivariate spectral technique known as partial directed coherence. The topology of the cortical networks has been identified with tools derived from graph theory. Results suggest that the cortical activity and connectivity elicited by the viewing of the TV commercials that were remembered by the experimental subjects are markedly different from the brain activity elicited during the observation of the TV commercials that were forgotten. In particular, during the observation of the TV commercials that were remembered, the amount of cortical spectral activity from the frontal areas (BA 8 and 9) and from the parietal areas (BA 5, 7, and 40) is higher compared with the activity elicited by the observation of TV commercials that were forgotten. In addition, network analysis suggests a clear role of the parietal areas as a target of the incoming flow of information from all the other parts of the cortex during the observation of TV commercials that have been remembered. The techniques presented here shed new light on

  7. Clinical and neurological study on the Sturge-Weber syndrome. With particular emphasis on consecutive cranial CT and EEG changes

    Energy Technology Data Exchange (ETDEWEB)

    Ochiai, Takako

    1987-07-01

    The author studied the relationship between facial nevus and intracranial changes seen on cranial computed tomography (CCT) scannings in 12 children with typical Sturge-Weber syndrome. The evaluation of epileptic attacks, repeat EEG and cranial CT examinations with or without enhancement during the follow-up period of 8 years in average were analysed. In 7 cases (58.3 %), the dominant side of facial hemangioma was identical with that of calcification on CCT. Three cases of central facial nevus showed calcification in one hemisphere, on either side. One who had facial nevus on one side showed dominant calcification on the other side on CT. The area and side of the facial nevus did not always coincide with those of the intracranial lesion. In 4 of the 9 patients who were followed up by repeat CCT, we recognized increases in degree of brain atrophy with or without increases in the area of calcification. In the enhancement study, 6 patients (89 %) showed positive choroid plexus images with abnormal enhancement on the same side as the calcification. On EEG 5 cases showed epileptiform activity over the hemisphere with calcification, and 3 showed it on the intact side of the brain.

  8. Coherence of gamma-band EEG activity as a basis for associative learning

    Science.gov (United States)

    Miltner, Wolfgang H. R.; Braun, Christoph; Arnold, Matthias; Witte, Herbert; Taub, Edward

    1999-02-01

    Different regions of the brain must communicate with each other to provide the basis for the integration of sensory information, sensory-motor coordination and many other functions that are critical for learning, memory, information processing, perception and the behaviour of organisms. Hebb suggested that this is accomplished by the formation of assemblies of cells whose synaptic linkages are strengthened whenever the cells are activated or `ignited' synchronously. Hebb's seminal concept has intrigued investigators since its formulation, but the technology to demonstrate its existence had been lacking until the past decade. Previous studies have shown that very fast electroencephalographic activity in the gamma band (20-70Hz) increases during, and may be involved in, the formation of percepts and memory, linguistic processing, and other behavioural and preceptual functions. We show here that increased gamma-band activity is also involved in associative learning. In addition, we find that another measure, gamma-band coherence, increases between regions of the brain that receive the two classes of stimuli involved in an associative-learning procedure in humans. An increase in coherence could fulfil the criteria required for the formation of hebbian cell assemblies, binding together parts of the brain that must communicate with one another in order for associative learning to take place. In this way, coherence may be a signature for this and other types of learning.

  9. The EEG in psychiatry

    African Journals Online (AJOL)

    Adele

    2004-05-20

    May 20, 2004 ... 13th National Psychiatry Congress. The EEG in psychiatry. Roland Eastman. Division of Neurology, University of Cape Town, Cape Town, South Africa orders. Epilepsy is primarily a clinical diagnosis, but the EEG may provide strong support by the finding of inter-ictal epi- leptogenic discharges and also be ...

  10. Correlation between the neonatal EEG and the neurological examination in the first year of life in infants with bacterial meningitis Correlación entre el EEG neonatal y el examen neurológico en el primer año de vida en recién nacidos con meningitis bacteriana

    Directory of Open Access Journals (Sweden)

    Adrián Poblano

    2007-09-01

    Full Text Available OBJECTIVE: To assess the contribution of neonatal electroencephalogram (EEG and its correlation with the neurological examination at age of 9 months in newborns with bacterial neonatal meningitis. METHOD: Twenty seven infants were studied with positive cerebrospinal fluid (CSF culture for bacteria. We used the worse EEG result during acute phase of meningitis, and performed neurologic follow-up after discharge from hospital. Background cerebral activity was classified as normal or mildly, moderately, or markedly abnormal. Neurologic examination outcomes was classified normal, mild abnormalities, moderate abnormalities and severe abnormalities. RESULTS: EEG performed in the neonatal period during acute bacterial meningitis predicts adverse outcome early at age of 9 months, and had a significant correlation with cephalic perimeter and active tone alterations. CONCLUSION: Neonatal EEG is useful for predicting abnormal outcomes, especially cephalic perimeter and active tone abnormalities at 9 months of age in infants with bacterial neonatal meningitis.OBJETIVO: Medir la contribución del electroencefalograma (EEG neonatal y su correlación con el examen neurológico a la edad de 9 meses en recién nacidos con meningitis neonatal bacteriana. MÉTODO: Se estudió a 27 neonatos con cultivos positivos de líquido cefalorraquídeo a bacterias. Se uso el peor resultado del EEG obtenido durante el periodo agudo de la meningitis. El seguimiento neurológico se efectuó tras el egreso hospitalario. La actividad de fondo del EEG se clasificó en normal y anormal leve, moderada y severa. El examen neurológico se clasificó en normal, y anormal leve moderado y severo. RESULTADOS: El EEG realizado durante el periodo neonatal durante la fase aguda de la meningitis bacteriana predice bien un resultado adverso a la edad de 9 meses, con correlaciones significativas con el perímetro cefálico y con las alteraciones del tono activo. CONCLUSION: El EEG neonatal es

  11. Meditation and the EEG

    OpenAIRE

    West, Michael

    1980-01-01

    Previous research on meditation and the EEG is described, and findings relating to EEG patterns during meditation are discussed. Comparisons of meditation with other altered states are reviewed and it is concluded that, on the basis of existing EEG evidence, there is some reason for differentiating between meditation and drowsing. Research on alpha-blocking and habituation of the blocking response during meditation is reviewed, and the effects of meditation on EEG patterns outside of meditati...

  12. Insights on the neural basis of motor plasticity induced by theta burst stimulation from TMS-EEG.

    Science.gov (United States)

    Vernet, Marine; Bashir, Shahid; Yoo, Woo-Kyoung; Perez, Jennifer M; Najib, Umer; Pascual-Leone, Alvaro

    2013-02-01

    Transcranial magnetic stimulation (TMS) is a useful tool to induce and measure plasticity in the human brain. However, the cortical effects are generally indirectly evaluated with motor-evoked potentials (MEPs) reflective of modulation of cortico-spinal excitability. In this study, we aim to provide direct measures of cortical plasticity by combining TMS with electroencephalography (EEG). Continuous theta-burst stimulation (cTBS) was applied over the primary motor cortex (M1) of young healthy adults, and we measured modulation of (i) MEPs, (ii) TMS-induced EEG evoked potentials (TEPs), (iii) TMS-induced EEG synchronization and (iv) eyes-closed resting EEG. Our results show the expected cTBS-induced decrease in MEP size, which we found to be paralleled by a modulation of a combination of TEPs. Furthermore, we found that cTBS increased the power in the theta band of eyes-closed resting EEG, whereas it decreased single-pulse TMS-induced power in the theta and alpha bands. In addition, cTBS decreased the power in the beta band of eyes-closed resting EEG, whereas it increased single-pulse TMS-induced power in the beta band. We suggest that cTBS acts by modulating the phase alignment between already active oscillators; it synchronizes low-frequency (theta and/or alpha) oscillators and desynchronizes high-frequency (beta) oscillators. These results provide novel insight into the cortical effects of cTBS and could be useful for exploring cTBS-induced plasticity outside of the motor cortex. © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

  13. A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness.

    Science.gov (United States)

    Nunez, Paul L; Srinivasan, Ramesh

    2006-11-01

    We propose a theoretical framework for EEG and evoked potential studies based on the single postulate that these data are composed of a combination of waves (as this term is used in the physical sciences) and thalamocortical network activity. Using known properties of traveling and standing waves, independent of any neocortical dynamic theory, our simple postulate leads to experimental predictions, several of which have now been verified. A mathematical-physiological theory of "brain waves" based on known (but highly idealized) properties of cortical synaptic action and corticocortical fibers is used to support the framework. Brain waves are predicted with links between temporal frequencies and the spatial distributions of synaptic activity. Such dispersion relations, which essentially define more general phenomena as waves, are shown to restrict the spatial-temporal dynamics of synaptic action with many experimental EEG consequences. The proposed framework accounts for several salient features of spontaneous EEG and evoked potentials. We conjecture that wave-like behavior of synaptic action may facilitate interactions between remote cell assemblies, providing an important mechanism for the functional integration underlying conscious experience.

  14. Syndrome of transient headache and neurological deficits with cerebrospinal fluid lymphocytosis (HaNDL) in a patient with confusional symptoms, diffuse EEG abnormalities, and bilateral vasospasm in transcranial Doppler ultrasound: A case report and literature review.

    Science.gov (United States)

    Hidalgo de la Cruz, M; Domínguez Rubio, R; Luque Buzo, E; Díaz Otero, F; Vázquez Alén, P; Orcajo Rincón, J; Prieto Montalvo, J; Contreras Chicote, A; Grandas Pérez, F

    2017-04-17

    HaNDL syndrome (transient headache and neurological deficits with cerebrospinal fluid lymphocytosis) is characterised by one or more episodes of headache and transient neurological deficits associated with cerebrospinal fluid lymphocytosis. To date, few cases of HaNDL manifesting with confusional symptoms have been described. Likewise, very few patients with HaNDL and confusional symptoms have been evaluated with transcranial Doppler ultrasound (TCD). TCD data from patients with focal involvement reveal changes consistent with vasomotor alterations. We present the case of a 42-year-old man who experienced headache and confusional symptoms and displayed pleocytosis, diffuse slow activity on EEG, increased blood flow velocity in both middle cerebral arteries on TCD, and single-photon emission computed tomography (SPECT) findings suggestive of diffuse involvement, especially in the left hemisphere. To our knowledge, this is the first description of a patient with HaNDL, confusional symptoms, diffuse slow activity on EEG, and increased blood flow velocity in TCD. Our findings suggest a relationship between cerebral vasomotor changes and the pathophysiology of HaNDL. TCD may be a useful tool for early diagnosis of HaNDL. Copyright © 2017 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

  15. Neurologic Complications of Celiac Disease

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2004-06-01

    Full Text Available Patients with celiac disease (CD [n=l 11] and controls (n=211 were questioned regarding neurologic disorders, their charts were reviewed, and they received neurologic evaluations, including brain imaging or EEG if indicated, in a study of neurologic complications of CD at Carmel Medical Center, Technion-Israel Institute of Technology, Haifa, Israel.

  16. Quality parameters for a multimodal EEG/EMG/kinematic brain-computer interface (BCI aiming to suppress neurological tremor in upper limbs [v2; ref status: indexed, http://f1000r.es/3aq

    Directory of Open Access Journals (Sweden)

    Giuliana Grimaldi

    2014-04-01

    Full Text Available Tremor is the most common movement disorder encountered during daily neurological practice. Tremor in the upper limbs causes functional disability and social inconvenience, impairing daily life activities. The response of tremor to pharmacotherapy is variable. Therefore, a combination of drugs is often required. Surgery is considered when the response to medications is not sufficient. However, about one third of patients are refractory to current treatments. New bioengineering therapies are emerging as possible alternatives. Our study was carried out in the framework of the European project “Tremor” (ICT-2007-224051. The main purpose of this challenging project was to develop and validate a new treatment for upper limb tremor based on the combination of functional electrical stimulation (FES; which has been shown to reduce upper limb tremor with a brain-computer interface (BCI. A BCI-driven detection of voluntary movement is used to trigger FES in a closed-loop approach. Neurological tremor is detected using a matrix of EMG electrodes and inertial sensors embedded in a wearable textile. The identification of the intentionality of movement is a critical aspect to optimize this complex system. We propose a multimodal detection of the intentionality of movement by fusing signals from EEG, EMG and kinematic sensors (gyroscopes and accelerometry. Parameters of prediction of movement are extracted in order to provide global prediction plots and trigger FES properly. In particular, quality parameters (QPs for the EEG signals, corticomuscular coherence and event-related desynchronization/synchronization (ERD/ERS parameters are combined in an original algorithm which takes into account the refractoriness/responsiveness of tremor. A simulation study of the relationship between the threshold of ERD/ERS of artificial EEG traces and the QPs is also provided. Very interestingly, values of QPs were much greater than those obtained for the corticomuscular

  17. EEG biofeedback

    OpenAIRE

    Dvořáček, Michael

    2010-01-01

    Vznik EEG aktivity v mozku, rozdělení EEG vln podle frekvence, způsob měření EEG, přístroje pro měření EEG. Dále popis biofeedback metody, její možnosti a návrh biofeedback her. Popis zpracování naměřených EEG signálů. EEG generation, brain rhythms, methods of recording EEG, EEG recorder. Description of biofeedback, potentialities of biofeedback, proposal of biofeedback games. Description of processing measured EEG signals. B

  18. Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.

    Science.gov (United States)

    Acharya, U Rajendra; Sree, S Vinitha; Chattopadhyay, Subhagata; Yu, Wenwei; Ang, Peng Chuan Alvin

    2011-06-01

    Epilepsy is a common neurological disorder that is characterized by the recurrence of seizures. Electroencephalogram (EEG) signals are widely used to diagnose seizures. Because of the non-linear and dynamic nature of the EEG signals, it is difficult to effectively decipher the subtle changes in these signals by visual inspection and by using linear techniques. Therefore, non-linear methods are being researched to analyze the EEG signals. In this work, we use the recorded EEG signals in Recurrence Plots (RP), and extract Recurrence Quantification Analysis (RQA) parameters from the RP in order to classify the EEG signals into normal, ictal, and interictal classes. Recurrence Plot (RP) is a graph that shows all the times at which a state of the dynamical system recurs. Studies have reported significantly different RQA parameters for the three classes. However, more studies are needed to develop classifiers that use these promising features and present good classification accuracy in differentiating the three types of EEG segments. Therefore, in this work, we have used ten RQA parameters to quantify the important features in the EEG signals.These features were fed to seven different classifiers: Support vector machine (SVM), Gaussian Mixture Model (GMM), Fuzzy Sugeno Classifier, K-Nearest Neighbor (KNN), Naive Bayes Classifier (NBC), Decision Tree (DT), and Radial Basis Probabilistic Neural Network (RBPNN). Our results show that the SVM classifier was able to identify the EEG class with an average efficiency of 95.6%, sensitivity and specificity of 98.9% and 97.8%, respectively.

  19. Recording EEG In Young Children Without Sedation | Curuneaux ...

    African Journals Online (AJOL)

    Recording EEG In Young Children Without Sedation. ... African Journal of Neurological Sciences ... The aim of this work was to determine if it is possible to carry out EEG in children up to 4 years old without sedation and analyze the factors that could influence upon the possibility of performing EEG, in vigil or with sedation.

  20. [Neurorehabilitation, neurology, rehabilitation medicine].

    Science.gov (United States)

    Urbán, Edina; Szél, István; Fáy, Veronika; Dénes, Zoltán; Lippai, Zoltán; Fazekas, Gábor

    2013-05-30

    We have read several publications of great authority on the neurological profession in the last two years in which were expressed assessments of the current situation combined with opinions about neurology and the necessity to reorganize neurological patient care. These articles took up the question of neurorehabilitation too. The authors, who on a daily basis, deal with the rehabilitation of people with disabilities as a consequence of neurological conditions, summarize some important definitions of rehabilitation medicine and the present system of neurological rehabilitation, as it is defined by the rehabilitation profession.

  1. EEG Projekt

    OpenAIRE

    Fogh, Kasper Wandahl; Greve, Marc

    2014-01-01

    This project is investigating EEG-technology, and how this can be used in games. Specificly, we are investigating how EEG measures brain activity, how you can interact with the technology and how good it works. Furthermore we investigate how the interaction can be used in a game. We investigate through theory on EEG, classification algorithms, Emotivs software and our own game working with both active and passive interaction. We found that even though the technology is new at a consumerlev...

  2. Classification of Epileptic EEG Signals by Extreme Learning Machines

    OpenAIRE

    SEZGİN, Necmettin

    2016-01-01

    In this study, the EEG signals obtained from patients that diagnosed with epilepsy seizure, were classified as before, during and after seizures. EEG signals are the non-linear and non-stationary signals that indicate the electrical activity of the brain. Different from normal situation of the brain, in the abnormal neurological, changes are significantly different in the sub-band of EEG signals, and these changes are signs of neurological disease. Since epilepsy starts the dynamic in the bra...

  3. Neurology in Asia.

    Science.gov (United States)

    Tan, Chong-Tin

    2015-02-10

    Asia is important as it accounts for more than half of the world population. The majority of Asian countries fall into the middle income category. As for cultural traditions, Asia is highly varied, with many languages spoken. The pattern of neurologic diseases in Asia is largely similar to the West, with some disease features being specific to Asia. Whereas Asia constitutes 60% of the world's population, it contains only 20% of the world's neurologists. This disparity is particularly evident in South and South East Asia. As for neurologic care, it is highly variable depending on whether it is an urban or rural setting, the level of economic development, and the system of health care financing. To help remedy the shortage of neurologists, most counties with larger populations have established training programs in neurology. These programs are diverse, with many areas of concern. There are regional organizations serving as a vehicle for networking in neurology and various subspecialties, as well as an official journal (Neurology Asia). The Asian Epilepsy Academy, with its emphasis on workshops in various locations, EEG certification examination, and fellowships, may provide a template of effective regional networking for improving neurology care in the region. © 2015 American Academy of Neurology.

  4. Interrater variability of EEG interpretation in comatose cardiac arrest patients

    DEFF Research Database (Denmark)

    Westhall, Erik; Rosén, Ingmar; Rossetti, Andrea O

    2015-01-01

    of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified. METHODS: Full-length EEGs from 103 comatose cardiac arrest patients were interpreted by four EEG-specialists with different nationalities...... in an international context with high reliability. SIGNIFICANCE: The establishment of strict criteria with high transferability between interpreters will increase the usefulness of routine EEG to assess neurological prognosis after cardiac arrest....

  5. Attention Deficit and EEG Analysis

    OpenAIRE

    J Gordon Millichap

    1992-01-01

    Computerized power spectral analysis (PSA), permitting topographic representation and statistical analysis of EEG, of 25 right-handed males, 9-12 years of age with attention deficit hyperactivity disorder was used in studies from the Departments of Psychology, Pediatrics (Neurology) and Computing Center, University of Tennessee and East Tennessee Children’s Hospital, Knoxville, TN.

  6. Autoimmune Neurology of the Central Nervous System.

    Science.gov (United States)

    Tobin, W Oliver; Pittock, Sean J

    2017-06-01

    This article reviews the rapidly evolving spectrum of autoimmune neurologic disorders with a focus on those that involve the central nervous system, providing an understanding of how to approach the diagnostic workup of patients presenting with central nervous system symptoms or signs that could be immune mediated, either paraneoplastic or idiopathic, to guide therapeutic decision making. The past decade has seen a dramatic increase in the discovery of novel neural antibodies and their targets. Many commercial laboratories can now test for these antibodies, which serve as diagnostic markers of diverse neurologic disorders that occur on an autoimmune basis. Some are highly specific for certain cancer types, and the neural antibody profiles may help direct the physician's cancer search. The diagnosis of an autoimmune neurologic disorder is aided by the detection of an objective neurologic deficit (usually subacute in onset with a fluctuating course), the presence of a neural autoantibody, and improvement in the neurologic status after a course of immunotherapy. Neural autoantibodies should raise concern for a paraneoplastic etiology and may inform a targeted oncologic evaluation (eg, N-methyl-D-aspartate [NMDA] receptor antibodies are associated with teratoma, antineuronal nuclear antibody type 1 [ANNA-1, or anti-Hu] are associated with small cell lung cancer). MRI, EEG, functional imaging, videotaped evaluations, and neuropsychological evaluations provide objective evidence of neurologic dysfunction by which the success of immunotherapy may be measured. Most treatment information emanates from retrospective case series and expert opinion. Nonetheless, early intervention may allow reversal of deficits in many patients and prevention of future disability.

  7. Prediction of rhythmic and periodic EEG patterns and seizures on continuous EEG with early epileptiform discharges.

    Science.gov (United States)

    Koren, J; Herta, J; Draschtak, S; Pötzl, G; Pirker, S; Fürbass, F; Hartmann, M; Kluge, T; Baumgartner, C

    2015-08-01

    Continuous EEG (cEEG) is necessary to document nonconvulsive seizures (NCS), nonconvulsive status epilepticus (NCSE), as well as rhythmic and periodic EEG patterns of 'ictal-interictal uncertainty' (RPPIIU) including periodic discharges, rhythmic delta activity, and spike-and-wave complexes in neurological intensive care patients. However, cEEG is associated with significant recording and analysis efforts. Therefore, predictors from short-term routine EEG with a reasonably high yield are urgently needed in order to select patients for evaluation with cEEG. The aim of this study was to assess the prognostic significance of early epileptiform discharges (i.e., within the first 30 min of EEG recording) on the following: (1) incidence of ictal EEG patterns and RPPIIU on subsequent cEEG, (2) occurrence of acute convulsive seizures during the ICU stay, and (3) functional outcome after 6 months of follow-up. We conducted a separate analysis of the first 30 min and the remaining segments of prospective cEEG recordings according to the ACNS Standardized Critical Care EEG Terminology as well as NCS criteria and review of clinical data of 32 neurological critical care patients. In 17 patients with epileptiform discharges within the first 30 min of EEG (group 1), electrographic seizures were observed in 23.5% (n = 4), rhythmic or periodic EEG patterns of 'ictal-interictal uncertainty' in 64.7% (n = 11), and neither electrographic seizures nor RPPIIU in 11.8% (n = 2). In 15 patients with no epileptiform discharges in the first 30 min of EEG (group 2), no electrographic seizures were recorded on subsequent cEEG, RPPIIU were seen in 26.7% (n = 4), and neither electrographic seizures nor RPPIIU in 73.3% (n = 11). The incidence of EEG patterns on cEEG was significantly different between the two groups (p = 0.008). Patients with early epileptiform discharges developed acute seizures more frequently than patients without early epileptiform discharges (p = 0.009). Finally, functional

  8. Que pacientes atende um neurologista? Alicerce de um currículo em neurologia Which patients does the neurologist assist? Basis for a curriculum in neurology

    Directory of Open Access Journals (Sweden)

    João Eliezer Ferri-de-Barros

    1996-12-01

    Full Text Available OBJETIVO: Apresentar os diagnósticos mais freqüentes em pacientes encaminhados a neurologistas e discutir a importância destes achados para a definição de um currículo em neurologia. EMBASAMENTO:O desenvolvimento de subespecialidades em neurologia tem interferido na definição do que deveria ser ensinado no treinamento de um médico ou de um neurologista. O conhecimento de quais são as doenças neurológicas mais comuns pode contribuir para a construção deste currículo. MÉTODO: Os diagnósticos iniciais de 1815 pacientes encaminhados a um ambulatório de neurologia, num hospital público universitário em São Paulo, Brasil, são analisados. RESULTADOS:Os diagnósticos mais comuns, em ordem decrescente de frequência, foram: cefaléia, epilepsia, transtornos mentais, doença encéfalo-vascular, traumatismo craniencefálico, polineuropatia, síndrome vestibular, paraparesia crural espástica, síndrome extrapiramidal, síndrome demencial, hipertensão intracraniana e paralisia facial. CONCLUSÕES: A importância das subespecialidades no currículo deve ser relacionada à frequência da doença neurológica na comunidade.OBJECTIVE: To present the most frequent diagnosis of patients referred to a neurologist and to discuss the importance of this finding for the definition of the curriculum in Neurology. BACKGROUND:The development of subespecialties of Neurology is interfering in the definition of what should be taught to train a physician or a neurologist. The knowledge of which are the most common neurological diseases may contribute to construct these curricula. METHOD:The initial diagnosis in 1815 outpatients referred to the neurologic service of an university-affiliated public hospital in São Paulo, Brazil, were analyzed. RESULTS: The most common diagnosis, in decreasing order of frequency, were: headache, epilepsy, mental disorders, cerebrovascular disease, head injury, polyneuropathy, vestibular syndrome, spastic crural

  9. High-Resolution Movement EEG Classification

    Directory of Open Access Journals (Sweden)

    Jakub Štastný

    2007-01-01

    Full Text Available The aim of the contribution is to analyze possibilities of high-resolution movement classification using human EEG. For this purpose, a database of the EEG recorded during right-thumb and little-finger fast flexion movements of the experimental subjects was created. The statistical analysis of the EEG was done on the subject's basis instead of the commonly used grand averaging. Statistically significant differences between the EEG accompanying movements of both fingers were found, extending the results of other so far published works. The classifier based on hidden Markov models was able to distinguish between movement and resting states (classification score of 94–100%, but it was unable to recognize the type of the movement. This is caused by the large fraction of other (nonmovement related EEG activities in the recorded signals. A classification method based on advanced EEG signal denoising is being currently developed to overcome this problem.

  10. 3. Neurological & Psychiatric Society of Zambia's Evidence-Based ...

    African Journals Online (AJOL)

    Esem

    ”. No evidence provided. Not evidence-based and impractical for a resource .... European Federation of. Neurological Sciences. Task Force[18]. Non-acute headache. EEG is not routinely indicated in the diagnostic evaluation of headache.

  11. [Application of SVM and wavelet analysis in EEG classification].

    Science.gov (United States)

    Zhao, Jianlin; Zhou, Weidong; Liu, Kai; Cai, Dongmei

    2011-04-01

    We employed two methods of support vector machines (SVM) combined with two kinds of wavelet analysis to classify these EEG signals, on the basis of the different profiles, energy, and frequency characteristics of the EEG during the seizures. One method was to classify these signals using waveform characteristics of the EEG signal. The other was to classify these signals based on fluctuation index and variation coefficient of the EEG signal. We compared the classification accuracies of these two methods with the intermittent EEG and epileptic EEG. The results of the experiments showed that both the two methods for distinguishing epileptic EEG and interictal EEG can achieve an effective performance. It was also confirmed that the latter, the method based on the fluctuation index and variation coefficient, possesses a better effect of classification.

  12. Adult neurology training during child neurology residency.

    Science.gov (United States)

    Schor, Nina F

    2012-08-21

    As it is currently configured, completion of child neurology residency requires performance of 12 months of training in adult neurology. Exploration of whether or not this duration of training in adult neurology is appropriate for what child neurology is today must take into account the initial reasons for this requirement and the goals of adult neurology training during child neurology residency.

  13. The role of the standard EEG in clinical psychiatry.

    LENUS (Irish Health Repository)

    O'Sullivan, S S

    2012-02-03

    BACKGROUND: The EEG is a commonly requested test on patients attending psychiatric services, predominantly to investigate for a possible organic brain syndrome causing behavioural changes. AIMS: To assess referrals for EEG from psychiatric services in comparison with those from other sources. We determine which clinical factors were associated with an abnormal EEG in patients referred from psychiatric sources. METHODS: A retrospective review of EEG requests in a 1-year period was performed. Analysis of referral reasons for psychiatric patients was undertaken, and outcome of patients referred from psychiatric services post-EEG was reviewed. RESULTS: One thousand four hundred and seventy EEGs were reviewed, of which 91 (6.2%) were referred from psychiatry. Neurology service referrals had detection rates of abnormal EEGs of 27%, with psychiatric referrals having the lowest abnormality detection rate of 17.6% (p < 0.1). In psychiatric-referred patients the only significant predictors found of an abnormal EEG were a known history of epilepsy (p < 0.001), being on clozapine (p < 0.05), and a possible convulsive seizure (RR = 6.51). Follow-up data of 53 patients did not reveal a significant clinical impact of EEG results on patient management. CONCLUSIONS: Many patients are referred for EEG from psychiatric sources despite a relatively low index of suspicion of an organic brain disorders, based on reasons for referral documented, with an unsurprising low clinical yield.

  14. Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology.

    Science.gov (United States)

    Abend, Nicholas S; Massey, Shavonne L; Fitzgerald, Mark; Fung, France; Atkin, Natalie J; Xiao, Rui; Topjian, Alexis A

    2017-11-01

    We evaluated interrater agreement of EEG interpretation in a cohort of critically ill children resuscitated after cardiac arrest using standardized EEG terminology. Four pediatric electroencephalographers scored 10-minute EEG segments from 72 consecutive children obtained 24 hours after return of circulation using the American Clinical Neurophysiology Society's (ACNS) Standardized Critical Care EEG terminology. The percent of perfect agreement and the kappa coefficient were calculated for each of the standardized EEG variables and a predetermined composite EEG background category. The overall background category (normal, slow-disorganized, discontinuous, or attenuated-featureless) had almost perfect agreement (kappa 0.89).The ACNS Standardized Critical Care EEG variables had agreement that was (1) almost perfect for the seizures variable (kappa 0.93), (2) substantial for the continuity (kappa 0.79), voltage (kappa 0.70), and sleep transient (kappa 0.65) variables, (3) moderate for the rhythmic or periodic patterns (kappa 0.55) and interictal epileptiform discharge (kappa 0.60) variables, and (4) fair for the predominant frequency (kappa 0.23) and symmetry (kappa 0.31) variables. Condensing variable options led to improved agreement for the continuity and voltage variables. These data support the use of the standardized terminology and the composite overall background category as a basis for standardized EEG interpretation for subsequent studies assessing EEG background for neuroprognostication after pediatric cardiac arrest.

  15. Rethinking the neurological basis of language

    NARCIS (Netherlands)

    Stowe, LA; Haverkort, M; Zwarts, Frans

    Functional neuroirnaging, within 10 years, has produced evidence which leads us to question a number of the standard assumptions about the areas which are necessary and sufficient for language processing. Although neuroirnaging evidence has corroborated much neuropsychological data, it forces a

  16. Mobile EEG in epilepsy

    NARCIS (Netherlands)

    Askamp, Jessica; van Putten, Michel Johannes Antonius Maria

    2014-01-01

    The sensitivity of routine EEG recordings for interictal epileptiform discharges in epilepsy is limited. In some patients, inpatient video-EEG may be performed to increase the likelihood of finding abnormalities. Although many agree that home EEG recordings may provide a cost-effective alternative

  17. Neurological complications of chickenpox

    Directory of Open Access Journals (Sweden)

    Girija A

    2007-01-01

    Full Text Available Aim: To assess the neurological complications of chickenpox with prognosis. Background: The neurological complications occur in 0.03% of persons who get chickenpox. There is no universal vaccination against chicken pox in India. Most patients prefer alternate modalities of treatment. Hence these complications of chickenpox are likely to continue to occur. Study Design: A prospective study was conducted for 2 years (from March 2002 on the admitted cases with neurological complications after chickenpox (with rash or scar. Patients were investigated with CT/MRI, CSF study, EEG and nerve conduction studies and hematological workup. They were followed-up for 1 year and outcome assessed using modified Rankin scale. Results: The latency for the neurological complications was 4-32 days (mean: 16.32 days. There were 18 cases: 10 adults (64% and 8 children (36%. Cerebellar ataxia (normal CT/MRI was observed in 7 cases (32% (mean age: 6.85 years. One patient (6 years had acute right hemiparesis in the fifth week due to left capsular infarct. All these cases spontaneously recovered by 4 weeks. The age range of the adult patients was 13-47 years (mean: 27 years. The manifestations included cerebellar and pyramidal signs (n-4 with features of demyelination in MRI who recovered spontaneously or with methylprednisolone by 8 weeks. Patient with encephalitis recovered in 2 weeks with acyclovir. Guillain Barre syndrome of the demyelinating type (n-2 was treated with Intravenous immunoglobulin (IVIG and they had a slow recovery by a modified Rankin scale (mRs score of 3 and 2 at 6 months and 1 year, respectively. One case died after hemorrhage into the occipital infarct. There were two cases of asymmetrical neuropathy, one each of the seventh cranial and brachial neuritis. Conclusion: Spontaneous recovery occurs in post-chickenpox cerebellar ataxia. Rarely, serious complications can occur in adults. The demyelinating disorders, either of the central or peripheral

  18. Statistics over features: EEG signals analysis.

    Science.gov (United States)

    Derya Ubeyli, Elif

    2009-08-01

    This paper presented the usage of statistics over the set of the features representing the electroencephalogram (EEG) signals. Since classification is more accurate when the pattern is simplified through representation by important features, feature extraction and selection play an important role in classifying systems such as neural networks. Multilayer perceptron neural network (MLPNN) architectures were formulated and used as basis for detection of electroencephalographic changes. Three types of EEG signals (EEG signals recorded from healthy volunteers with eyes open, epilepsy patients in the epileptogenic zone during a seizure-free interval, and epilepsy patients during epileptic seizures) were classified. The selected Lyapunov exponents, wavelet coefficients and the power levels of power spectral density (PSD) values obtained by eigenvector methods of the EEG signals were used as inputs of the MLPNN trained with Levenberg-Marquardt algorithm. The classification results confirmed that the proposed MLPNN has potential in detecting the electroencephalographic changes.

  19. Simultaneous trimodal PET-MR-EEG imaging: Do EEG caps generate artefacts in PET images?

    OpenAIRE

    Ravichandran Rajkumar; Elena Rota Kops; Jörg Mauler; Lutz Tellmann; Christoph Lerche; Hans Herzog; N Jon Shah; Irene Neuner

    2017-01-01

    Trimodal simultaneous acquisition of positron emission tomography (PET), magnetic resonance imaging (MRI), and electroencephalography (EEG) has become feasible due to the development of hybrid PET-MR scanners. To capture the temporal dynamics of neuronal activation on a millisecond-by-millisecond basis, an EEG system is appended to the quantitative high resolution PET-MR imaging modality already established in our institute. One of the major difficulties associated with the development of sim...

  20. A statistically robust EEG re-referencing procedure to mitigate reference effect

    OpenAIRE

    Lepage, Kyle Q.; Kramer, Mark Nathan; Chu, Catherine Jean

    2014-01-01

    Background: The electroencephalogram (EEG) remains the primary tool for diagnosis of abnormal brain activity in clinical neurology and for in vivo recordings of human neurophysiology in neuroscience research. In EEG data acquisition, voltage is measured at positions on the scalp with respect to a reference electrode. When this reference electrode responds to electrical activity or artifact all electrodes are affected. Successful analysis of EEG data often involves re-referencing procedures th...

  1. Recording EEG in immature rats with a novel miniature telemetry system

    National Research Council Canada - National Science Library

    Zayachkivsky, A; Lehmkuhle, M J; Fisher, J H; Ekstrand, J J; Dudek, F E

    2013-01-01

    Serial EEG recordings from immature rat pups are extremely difficult to obtain but important for analyzing animal models of neonatal seizures and other pediatric neurological conditions as well as normal physiology...

  2. Comparison of Quantitative Characteristics of Early Post-resuscitation EEG Between Asphyxial and Ventricular Fibrillation Cardiac Arrest in Rats.

    Science.gov (United States)

    Chen, Bihua; Chen, Gang; Dai, Chenxi; Wang, Pei; Zhang, Lei; Huang, Yuanyuan; Li, Yongqin

    2017-05-08

    Quantitative electroencephalogram (EEG) analysis has shown promising results in studying brain injury and functional recovery after cardiac arrest (CA). However, whether the quantitative characteristics of EEG, as potential indicators of neurological prognosis, are influenced by CA causes is unknown. The purpose of this study was designed to compare the quantitative characteristics of early post-resuscitation EEG between asphyxial CA (ACA) and ventricular fibrillation CA (VFCA) in rats. Thirty-two Sprague-Dawley rats of both sexes were randomized into either ACA or VFCA group. Cardiopulmonary resuscitation was initiated after 5-min untreated CA. Characteristics of early post-resuscitation EEG were compared, and the relationships between quantitative EEG features and neurological outcomes were investigated. Compared with VFCA, serum level of S100B, neurological deficit score and brain histopathologic damage score were dramatically higher in the ACA group. Quantitative measures of EEG, including onset time of EEG burst, time to normal trace, burst suppression ratio, and information quantity, were significantly lower for CA caused by asphyxia and correlated with the 96-h neurological outcome and survival. Characteristics of earlier post-resuscitation EEG differed between cardiac and respiratory causes. Quantitative measures of EEG not only predicted neurological outcome and survival, but also have the potential to stratify CA with different causes.

  3. EEG deblurring techniques in a clinical context.

    Science.gov (United States)

    Cincotti, F; Babiloni, C; Miniussi, C; Carducci, F; Moretti, D; Salinari, S; Pascual-Marqui, R; Rossini, P M; Babiloni, F

    2004-01-01

    EEG scalp potential distributions recorded in humans are affected by low spatial resolution and by the dependence on the electrical reference used. High resolution EEG technologies are available to drastically increase the spatial resolution of the raw EEG. Such technologies include the computation of surface Laplacian (SL) of the recorded potentials, as well as the use of realistic head models to estimate the cortical sources via linear inverse procedure (low resolution brain electromagnetic tomography, LORETA). However, these deblurring procedures are generally used in conjunction with EEG recordings with 64-128 scalp electrodes and with realistic head models obtained via sequential magnetic resonance images (MRIs) of the subjects. Such recording setup it is not often available in the clinical context, due to both the unavailability of these technologies and the scarce compliance of the patients with them. In this study we addressed the use of SL and LORETA deblurring techniques to analyze data from a standard 10-20 system (19 electrodes) in a group of Alzheimer disease (AD) patients. EEG data related to unilateral finger movements were gathered from 10 patients affected by AD. SL and LORETA techniques were applied for source estimation of EEG data. The use of MRIs for the construction of head models was avoided by using the quasi-realistic head model of the Brain Imaging Neurology Institute of Montreal. A similar cortical activity estimated by the SL and LORETA techniques was observed during an identical time period of the acquired EEG data in the examined population. The results of the present study suggest that both SL and LORETA approaches can be usefully applied in the clinical context, by using quasi-realistic head modeling and a standard 10-20 system as electrode montage (19 electrodes). These results represent a reciprocal cross-validation of the two mathematically independent techniques in a clinical environment.

  4. Mobile EEG in epilepsy.

    Science.gov (United States)

    Askamp, Jessica; van Putten, Michel J A M

    2014-01-01

    The sensitivity of routine EEG recordings for interictal epileptiform discharges in epilepsy is limited. In some patients, inpatient video-EEG may be performed to increase the likelihood of finding abnormalities. Although many agree that home EEG recordings may provide a cost-effective alternative to these recordings, their use is still not introduced everywhere. We surveyed Dutch neurologists and patients and evaluated a novel mobile EEG device (Mobita, TMSi). Key specifications were compared with three other current mobile EEG devices. We shortly discuss algorithms to assist in the review process. Thirty percent (33 out of 109) of Dutch neurologists reported that home EEG recordings are used in their hospital. The majority of neurologists think that mobile EEG can have additional value in investigation of unclear paroxysms, but not in the initial diagnosis after a first seizure. Poor electrode contacts and signal quality, limited recording time and absence of software for reliable and effective assistance in the interpretation of EEGs have been important constraints for usage, but in recent devices discussed here, many of these problems have been solved. The majority of our patients were satisfied with the home EEG procedure and did not think that our EEG device was uncomfortable to wear, but they did feel uneasy wearing it in public. © 2013.

  5. Usefulness of video-EEG in the paediatric emergency department.

    Science.gov (United States)

    Falsaperla, Raffaele; Striano, Pasquale; Parisi, Pasquale; Lubrano, Riccardo; Mahmood, Fahad; Pavone, Piero; Vitaliti, Giovanna

    2014-07-01

    Over the past two decades the EEG has technically improved from the use of analog to digital machines and more recently to video-EEG systems. Despite these advances, recording a technically acceptable EEG in an electrically hostile environment such as the emergency department (ED) remains a challenge, particularly with infants or young children. In 1996, a meeting of French experts established a set of guidelines for performing an EEG in the ED based on a review of the available literature. The authors highlighted the most suitable indications for an emergency EEG including clinical suspicion of cerebral death, convulsive and myoclonic status epilepticus, focal or generalized relapsing convulsive seizures as well as follow-up of known convulsive patients. They further recommended emergency EEG in the presence of doubt regarding the epileptic nature of the presentation as well as during the initiation or modification of sedation following brain injury. Subsequently, proposals for expanding the use of EEG in emergency patients have been advocated including trauma, vascular and anoxic-ischemic injury due to cardiorespiratory arrest, postinfective encephalopathy and nonconvulsive status epilepticus. The aim of this review is to show the diagnostic importance of video-EEG, as well as highlighting the predictive prognostic factors for positive and negative outcomes, when utilized in the pediatric ED for seizures as well as other neurological presentations.

  6. Surface and intracranial EEG spike detection based on discrete wavelet decomposition and random forest classification.

    Science.gov (United States)

    Le Douget, J E; Fouad, A; Maskani Filali, M; Pyrzowski, J; Le Van Quyen, M

    2017-07-01

    Epilepsy is a neurological disorder for which the electroencephalogram (EEG) is the most important diagnostic tool. In particular, this diagnosis heavily depends on the detection of interictal (between seizures) paroxysmal epileptic discharges (IPED) in the EEG. This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist visual inspections of human readers. We present a new method, which allows automatic detection of IPED based on discrete wavelet decomposition and a random forest classifier. The algorithm was trained and cross validated using 17 subjects with scalp EEG and 10 subjects with intracranial EEG. The performance of this method reached 62% recall and 26% precision for surface EEG subjects and 63% recall and 53% precision for intracranial EEG subjects. Thus, the method hereby proposed has great potential for diagnosis support in clinical environments.

  7. Pharmaco-EEG: A Study of Individualized Medicine in Clinical Practice.

    Science.gov (United States)

    Swatzyna, Ronald J; Kozlowski, Gerald P; Tarnow, Jay D

    2015-07-01

    Pharmaco-electroencephalography (Pharmaco-EEG) studies using clinical EEG and quantitative EEG (qEEG) technologies have existed for more than 4 decades. This is a promising area that could improve psychotropic intervention using neurological data. One of the objectives in our clinical practice has been to collect EEG and quantitative EEG (qEEG) data. In the past 5 years, we have identified a subset of refractory cases (n = 386) found to contain commonalities of a small number of electrophysiological features in the following diagnostic categories: mood, anxiety, autistic spectrum, and attention deficit disorders, Four abnormalities were noted in the majority of medication failure cases and these abnormalities did not appear to significantly align with their diagnoses. Those were the following: encephalopathy, focal slowing, beta spindles, and transient discharges. To analyze the relationship noted, they were tested for association with the assigned diagnoses. Fisher's exact test and binary logistics regression found very little (6%) association between particular EEG/qEEG abnormalities and diagnoses. Findings from studies of this type suggest that EEG/qEEG provides individualized understanding of pharmacotherapy failures and has the potential to improve medication selection. © EEG and Clinical Neuroscience Society (ECNS) 2014.

  8. Automatic detection of EEG artefacts arising from head movements using EEG and gyroscope signals.

    Science.gov (United States)

    O'Regan, Simon; Faul, Stephen; Marnane, William

    2013-07-01

    Contamination of EEG signals by artefacts arising from head movements has been a serious obstacle in the deployment of automatic neurological event detection systems in ambulatory EEG. In this paper, we present work on categorizing these head-movement artefacts as one distinct class and on using support vector machines to automatically detect their presence. The use of additional physical signals in detecting head-movement artefacts is also investigated by means of support vector machines classifiers implemented with gyroscope waveforms. Finally, the combination of features extracted from EEG and gyroscope signals is explored in order to design an algorithm which incorporates both physical and physiological signals in accurately detecting artefacts arising from head-movements. Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

  9. ORIGINAL ARTICLE EEG changes and neuroimaging abnormalities ...

    African Journals Online (AJOL)

    salah

    Ghada El-Kamah. E-mail: ghadaelkamah@hotmail.com. Key Words: Autism, MRI, EEG, brain develop- ment. INTRODUCTION. Autism is a neuropsychiatric disorder of social, cognitive and language development. Autism. Spectrum Disorders (ASDs). (OMIM 608638)1 are diagnosed on the basis of qualitative abnormalities ...

  10. Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.

    Science.gov (United States)

    Song, Yuedong; Zhang, Jiaxiang

    2016-01-15

    Epilepsy is one of the most common neurological disorders approximately one in every 100 people worldwide are suffering from it. Uncontrolled epilepsy poses a significant burden to society due to associated healthcare cost to treat and control the unpredictable and spontaneous occurrence of seizures. The objective of this research is to develop and present a novel classification framework that is utilised to discriminate interictal and preictal brain activities via quantitative analysis of electroencephalogram (EEG) recordings. Sample entropy-based features were extracted in parallel from 6 intracranial EEG channels, and then these features were fed to the extreme learning machine model for classification. Performance was evaluated on the basis of sensitivity and specificity and validation was performed using stratified cross-validation approach. The proposed method can correctly distinguish interictal and preictal EEGs with a sensitivity of 86.75% and a specificity of 83.80%, on average, across 21 patients and 6 epileptic seizure origins. Compared with traditional variance-based feature extraction, the proposed SampEn-based feature extraction method not only shows a significant improvement in the accuracy, but also has higher classification robustness and stability in terms of the much lower standard errors of classification accuracies across different evaluation periods. In addition, the proposed classification framework runs around 20 times faster than the support vector machine model during testing. The high accuracy and efficiency of the proposed method makes it feasible to extend it to the development of a real-time EEG-based brain monitoring system for epileptic seizure prediction. Copyright © 2015 Elsevier B.V. All rights reserved.

  11. [The comparative analysis of changes of short pieces of EEG at perception of music on the basis of the event-related synchronization/desynchronization and wavelet-synchrony].

    Science.gov (United States)

    Oknina, L B; Kuptsova, S V; Romanov, A S; Masherov, E L; Kuznetsova, O A; Sharova, E V

    2012-01-01

    The going of present pilot study is an analysis of features changes of EEG short pieces registered from 32 sites, at perception of musical melodies healthy examinees depending on logic (cognizance) and emotional (it was pleasant it was not pleasant) melody estimations. For this purpose changes of event-related synchronization/desynchronization, and also wavelet-synchrony of EEG-responses at 31 healthy examinees at the age from 18 till 60 years were compared. It is shown that at a logic estimation of music the melody cognizance is accompanied the event-related desynchronization in the left fronto-parietal-temporal area. At an emotional estimation of a melody the event-related synchronization in left fronto - temporal area for the pleasant melodies, desynchronization in temporal area for not pleasant and desynchronization in occipital area for the melodies which are not causing the emotional response is typical. At the analysis of wavelet-synchrony of EEG characterizing jet changes of interaction of cortical zones, it is revealed that the most distinct topographical distinctions concern type of processing of the heard music: logic (has learned-hasn't learned) or emotional (it was pleasant-it was not pleasant). If at an emotional estimation changes interhemispheric communications between associative cortical zones (central, frontal, temporal), are more expressed at logic - between inter - and intrahemispheric communications of projective zones of the acoustic analyzer (temporal area). It is supposed that the revealed event-related synchronization/desynhronization reflects, most likely, an activation component of an estimation of musical fragments whereas the wavelet-analysis provides guidance on character of processing of musical stimulus.

  12. The EEG in psychiatry

    African Journals Online (AJOL)

    Adele

    2004-05-20

    May 20, 2004 ... Epilepsy is primarily a clinical diagnosis, but the EEG ... seizure onset and the epilepsy syndrome. However, a normal inter-ictal EEG can never refute or exclude a clinical diagno- sis of epilepsy. Organic mental disorders is increasingly an ... to metabolic changes, infections, toxins, trauma and tumours.

  13. EEG: Origin and measurement

    NARCIS (Netherlands)

    Lopes da Silva, F.; Mulert, C.; Lemieux, L.

    2010-01-01

    The existence of the electrical activity of the brain (i.e. the electroencephalogram or EEG) was discovered more than a century ago by Caton. After the demonstration that the EEG could be recorded from the human scalp by Berger in the 1920s, it made a slow start before it became accepted as a method

  14. Electroencephalogram (EEG) (For Parents)

    Science.gov (United States)

    ... test. If it's necessary for your child to sleep during the EEG, the doctor will suggest ways to help make this easier. The Procedure An EEG can be done in the doctor's office, a lab, or a hospital. Your child will be asked to lie on ...

  15. Advocacy in neurology

    National Research Council Canada - National Science Library

    Pauranik, Apoorva

    2008-01-01

    ...), launched the Neurological Alliance of Ireland, a nationwide coalition of patient advocacy groups and physicians and authored Standards of Care, the "blueprint" for the development of neurological...

  16. Fractal Dimension in Epileptic EEG Signal Analysis

    Science.gov (United States)

    Uthayakumar, R.

    Fractal Analysis is the well developed theory in the data analysis of non-linear time series. Especially Fractal Dimension is a powerful mathematical tool for modeling many physical and biological time signals with high complexity and irregularity. Fractal dimension is a suitable tool for analyzing the nonlinear behaviour and state of the many chaotic systems. Particularly in analysis of chaotic time series such as electroencephalograms (EEG), this feature has been used to identify and distinguish specific states of physiological function.Epilepsy is the main fatal neurological disorder in our brain, which is analyzed by the biomedical signal called Electroencephalogram (EEG). The detection of Epileptic seizures in the EEG Signals is an important tool in the diagnosis of epilepsy. So we made an attempt to analyze the EEG in depth for knowing the mystery of human consciousness. EEG has more fluctuations recorded from the human brain due to the spontaneous electrical activity. Hence EEG Signals are represented as Fractal Time Series.The algorithms of fractal dimension methods have weak ability to the estimation of complexity in the irregular graphs. Divider method is widely used to obtain the fractal dimension of curves embedded into a 2-dimensional space. The major problem is choosing initial and final step length of dividers. We propose a new algorithm based on the size measure relationship (SMR) method, quantifying the dimensional behaviour of irregular rectifiable graphs with minimum time complexity. The evidence for the suitability (equality with the nature of dimension) of the algorithm is illustrated graphically.We would like to demonstrate the criterion for the selection of dividers (minimum and maximum value) in the calculation of fractal dimension of the irregular curves with minimum time complexity. For that we design a new method of computing fractal dimension (FD) of biomedical waveforms. Compared to Higuchi's algorithm, advantages of this method include

  17. Sports neurology topics in neurologic practice

    Science.gov (United States)

    Conidi, Francis X.; Drogan, Oksana; Giza, Christopher C.; Kutcher, Jeffery S.; Alessi, Anthony G.; Crutchfield, Kevin E.

    2014-01-01

    Summary We sought to assess neurologists' interest in sports neurology and learn about their experience in treating sports-related neurologic conditions. A survey was sent to a random sample of American Academy of Neurology members. A majority of members (77%) see at least some patients with sports-related neurologic issues. Concussion is the most common sports-related condition neurologists treat. More than half of survey participants (63%) did not receive any formal or informal training in sports neurology. At least two-thirds of respondents think it is very important to address the following issues: developing evidence-based return-to-play guidelines, identifying risk factors for long-term cognitive-behavioral sequelae, and developing objective diagnostic criteria for concussion. Our findings provide an up-to-date view of the subspecialty of sports neurology and identify areas for future research. PMID:24790800

  18. Deja vu in neurology.

    Science.gov (United States)

    Wild, Edward

    2005-01-01

    The significance of deja vu is widely recognised in the context of temporal lobe epilepsy, and enquiry about deja vu is frequently made in the clinical assessment of patients with possible epilepsy. Deja vu has also been associated with several psychiatric disorders. The historical context of current understanding of deja vu is discussed. The literature reveals deja vu to be a common phenomenon consistent with normality. Several authors have suggested the existence of a "pathological" form of deja vu that differs, qualitatively or quantitatively, from "non-pathological" deja vu. The features of deja vu suggesting neurological or psychiatric pathology are discussed. Several neuroanatomical and psychological models of the deja vu experience are highlighted, implicating the perceptual, mnemonic and affective regions of the lateral temporal cortex, hippocampus and amygdala in the genesis of deja vu. A possible genetic basis for a neurochemical model of deja vu is discussed. Clinical approaches to the patient presenting with possible deja vu are proposed.

  19. Neurologic considerations in propionic acidemia.

    Science.gov (United States)

    Schreiber, John; Chapman, Kimberly A; Summar, Marshall L; Ah Mew, Nicholas; Sutton, V Reid; MacLeod, Erin; Stagni, Kathy; Ueda, Keiko; Franks, Jill; Island, Eddie; Matern, Dietrich; Peña, Loren; Smith, Brittany; Urv, Tiina; Venditti, Charles; Chakarapani, Anupam; Gropman, Andrea L

    2012-01-01

    Propionic acidemia (PA) is an organic acidemia which has a broad range of neurological complications, including developmental delay, intellectual disability, structural abnormalities, metabolic stroke-like episodes, seizures, optic neuropathy, and cranial nerve abnormalities. As the PA consensus conference hosted by Children's National Medical Center progressed from January 28 to 30, 2011, it became evident that neurological complications were common and a major component of morbidity, but the role of imaging and the basis for brain pathophysiology were unclear. This paper reviews the hypothesized pathophysiology, presentation and uses the best available evidence to suggest programs for treatment, imaging, and monitoring the neurological complications of PA. Copyright © 2011. Published by Elsevier Inc. All rights reserved.

  20. Recording EEG in immature rats with a novel miniature telemetry system.

    Science.gov (United States)

    Zayachkivsky, A; Lehmkuhle, M J; Fisher, J H; Ekstrand, J J; Dudek, F E

    2013-02-01

    Serial EEG recordings from immature rat pups are extremely difficult to obtain but important for analyzing animal models of neonatal seizures and other pediatric neurological conditions as well as normal physiology. In this report, we describe the features and applications of a novel miniature telemetry system designed to record EEG in rat pups as young as postnatal day 6 (P6). First, we have recorded electrographic seizure activity in two animal models of neonatal seizures, hypoxia- and kainate-induced seizures at P7. Second, we describe a viable approach for long-term continuous EEG monitoring of naturally reared rat pups implanted with EEG at P6. Third, we have used serial EEG recordings to record age-dependent changes in the background EEG signal as the animals matured from P7 to P11. The important advantages of using miniature wireless EEG technology are: 1) minimally invasive surgical implantation; 2) a device form-factor that is compatible with housing of rat pups with the dam and littermates; 3) serial recordings of EEG activity; and 4) low power consumption of the unit, theoretically allowing continuous monitoring for up to 2 yr without surgical reimplantation. The miniature EEG telemetry system provides a technical advance that allows researchers to record continuous and serial EEG recordings in neonatal rodent models of human neurological disorders, study the progression of the disease, and then assess possible therapies using quantitative EEG as an outcome measure. This new technical approach should improve animal models of human conditions that rely on EEG monitoring for diagnosis and therapy.

  1. Early EEG contributes to multimodal outcome prediction of postanoxic coma.

    Science.gov (United States)

    Hofmeijer, Jeannette; Beernink, Tim M J; Bosch, Frank H; Beishuizen, Albertus; Tjepkema-Cloostermans, Marleen C; van Putten, Michel J A M

    2015-07-14

    Early identification of potential recovery of postanoxic coma is a major challenge. We studied the additional predictive value of EEG. Two hundred seventy-seven consecutive comatose patients after cardiac arrest were included in a prospective cohort study on 2 intensive care units. Continuous EEG was measured during the first 3 days. EEGs were classified as unfavorable (isoelectric, low-voltage, burst-suppression with identical bursts), intermediate, or favorable (continuous patterns), at 12, 24, 48, and 72 hours. Outcome was dichotomized as good or poor. Resuscitation, demographic, clinical, somatosensory evoked potential, and EEG measures were related to outcome at 6 months using logistic regression analysis. Analyses of diagnostic accuracy included receiver operating characteristics and calculation of predictive values. Poor outcome occurred in 149 patients (54%). Single measures unequivocally predicting poor outcome were an unfavorable EEG pattern at 24 hours, absent pupillary light responses at 48 hours, and absent somatosensory evoked potentials at 72 hours. Together, these had a specificity of 100% and a sensitivity of 50%. For the remaining 203 patients, who were still in the "gray zone" at 72 hours, a predictive model including unfavorable EEG patterns at 12 hours, absent or extensor motor response to pain at 72 hours, and higher age had an area under the curve of 0.90 (95% confidence interval 0.84-0.96). Favorable EEG patterns at 12 hours were strongly associated with good outcome. EEG beyond 24 hours had no additional predictive value. EEG within 24 hours is a robust contributor to prediction of poor or good outcome of comatose patients after cardiac arrest. © 2015 American Academy of Neurology.

  2. Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.

    Science.gov (United States)

    Acharya, U Rajendra; Sree, S Vinitha; Alvin, Ang Peng Chuan; Yanti, Ratna; Suri, Jasjit S

    2012-04-01

    Epilepsy, a neurological disorder, is characterized by the recurrence of seizures. Electroencephalogram (EEG) signals, which are used to detect the presence of seizures, are non-linear and dynamic in nature. Visual inspection of the EEG signals for detection of normal, interictal, and ictal activities is a strenuous and time-consuming task due to the huge volumes of EEG segments that have to be studied. Therefore, non-linear methods are being widely used to study EEG signals for the automatic monitoring of epileptic activities. The aim of our work is to develop a Computer Aided Diagnostic (CAD) technique with minimal pre-processing steps that can classify all the three classes of EEG segments, namely normal, interictal, and ictal, using a small number of highly discriminating non-linear features in simple classifiers. To evaluate the technique, segments of normal, interictal, and ictal EEG segments (100 segments in each class) were used. Non-linear features based on the Higher Order Spectra (HOS), two entropies, namely the Approximation Entropy (ApEn) and the Sample Entropy (SampEn), and Fractal Dimension and Hurst Exponent were extracted from the segments. Significant features were selected using the ANOVA test. After evaluating the performance of six classifiers (Decision Tree, Fuzzy Sugeno Classifier, Gaussian Mixture Model, K-Nearest Neighbor, Support Vector Machine, and Radial Basis Probabilistic Neural Network) using a combination of the selected features, we found that using a set of all the selected six features in the Fuzzy classifier resulted in 99.7% classification accuracy. We have demonstrated that our technique is capable of achieving high accuracy using a small number of features that accurately capture the subtle differences in the three different types of EEG (normal, interictal, and ictal) segments. The technique can be easily written as a software application and used by medical professionals without any extensive training and cost. Such software

  3. [Neurologic manifestations in pediatric patients with AIDS].

    Science.gov (United States)

    Samudio-Domínguez, G; Dávila, G; Martínez-Aguilar, G; Santos-Preciado, J I

    1992-09-01

    Since the first cases of childhood AIDS were reported, the neurological involvement has been more frequently recognized. Several motor, intellectual and conductual changes as well as unexplained abnormalities have been described due to CNS infections. Findings have shown HIV to affect the CNS although it is unknown as to when the viral invasion actually occurs. This report describes the neurological manifestations found in pediatric patients with HIV infection at the Hospital Infantil de Mexico and their correlations with CT scans, EEGs, auditory evoked potentials, I.Q.s and postmortem findings. The medical records of 60 symptomatic HIV infected children, stages P0 to P2, are reviewed. Neurological abnormalities were found in 51 patients, 20 of which (39.2%) were due to perinatal infection with symptoms starting, on the average at 11 months 7 days (from the initial contact) taking into consideration in utero exposure. Nine cases (17.6%) were patients infected through transfusions with symptoms appearing on the average at 24 months 8 days; 2 cases (3.9%) were of unknown origin. The CT scans, EEGs and psychometric evaluations of the HIV infected patients correlated well with the clinical findings.

  4. Rat model of influenza-associated encephalopathy (IAE): studies of electroencephalogram (EEG) in vivo.

    Science.gov (United States)

    Cissé, Y; Wang, S; Inoue, I; Kido, H

    2010-02-17

    Influenza-associated encephalopathy (IAE) is characterized by severe neurological complications during high-grade fever with high morbidity and mortality in children. The major neurological complications during high-grade fever include convulsive seizures, loss of consciousness, neuropsychiatric behavior (hallucination, meaningless speech, disorientation, laughing alone); high voltage amplitude slow waves and the occurrence of theta oscillation are depicted on the electroencephalogram (EEG) in the IAE patients. At the early phase of the disease, the cytokines levels increase in severe cases. To understand the neuronal properties in the CNS leading to these neurological complications in IAE patients, we recorded EEG signals from the hippocampus and cortex of rats infected with influenza A/WSN/33 H1N1 virus (IAV) strain. Abnormal EEG activities were observed in all infected rats under anesthesia, including high voltage EEG burst amplitude and increased EEG spikes in the early phase (8 h-day 2) of infection, and these increases at the early phase were in parallel with a significant increase level of interleukin-6 (IL-6) in the serum. When the infected rats were heat-stressed by elevating the rat body core temperature to 39-41 degrees C, these abnormal EEG activities were enhanced, and the oscillation pattern shifted in most of rats from slow bursting waves (EEG activities in IAE patients could be well reproduced in anesthetized IAV infected rats under hyperthermia, hence this animal model will be useful for further understandings the mechanism of neuronal complications in IAE patient during high-grade fever.

  5. An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals.

    Science.gov (United States)

    Taran, Sachin; Bajaj, Varun; Siuly, Siuly

    2017-12-01

    Epileptic seizure is the common neurological disorder, which is generally identified by electroencephalogram (EEG) signals. In this paper, a new feature extraction methodology based on optimum allocation sampling (OAS) and Teager energy operator (TEO) is proposed for detection of seizure EEG signals. The OAS scheme selects the finite length homogeneous sequence from non-homogeneous recorded EEG signal. The trend of selected sequence by OAS is still non-linear, which is analyzed by non-linear operator TEO. The TEO convert non-linear but homogenous EEG sequence into amplitude-frequency modulated (AM-FM) components. The statistical measures of AM-FM components used as input features to least squares support vector machine classifier for classification of seizure and seizure-free EEG signals. The proposed methodology is evaluated on a benchmark epileptic seizure EEG database. The experimental results demonstrate that the proposed scheme has capability to effectively distinguish seizure and seizure-free EEG signals.

  6. Prompt recognition of brain states by their EEG signals

    DEFF Research Database (Denmark)

    Peters, B.O.; Pfurtscheller, G.; Flyvbjerg, H.

    1997-01-01

    Brain states corresponding to intention of movement of left and right index finger and right foot are classified by a ''committee'' of artificial neural networks processing individual channels of 56-electrode electroencephalograms (EEGs). Correct recognition is achieved in 83% of cases not previo......Brain states corresponding to intention of movement of left and right index finger and right foot are classified by a ''committee'' of artificial neural networks processing individual channels of 56-electrode electroencephalograms (EEGs). Correct recognition is achieved in 83% of cases...... not previously seen by the system on the basis of 1 sec long EEGs....

  7. EEG Clearing Office strengthened by EEG 2012. Alternative dispute resolution in the renewable energies industry; Aufwertung der Clearingstelle EEG durch das EEG 2012. Alternative Dispute Resolution im Bereich der Erneuerbaren Energien

    Energy Technology Data Exchange (ETDEWEB)

    Chatzinerantzis, Alexandros; Fach, Martin [Linklaters LLP, Frankfurt am Main (Germany). Praxisgruppe Litigation and Arbitration

    2012-11-14

    The EEG Clearing Office is a special arbitration forum for the purpose of facilitating quick and inexpensive out-of-court dispute resolutions and resolving cases of legal uncertainty in connection with the regulations of the EEG (Renewable Energy Law). The Clearing Office has developed dynamically over the past years, as the numbers of newly registered potential and ongoing procedures impressively show. In the 2012 amendment to the EEG the legislature has fundamentally revised and substantially widened the legal basis for the work of the Clearing Office. This provides the motivation for presenting the Clearing Office and its procedural rules in the following article.

  8. EEG Controlled Wheelchair

    Directory of Open Access Journals (Sweden)

    Swee Sim Kok

    2016-01-01

    Full Text Available This paper describes the development of a brainwave controlled wheelchair. The main objective of this project is to construct a wheelchair which can be directly controlled by the brain without requires any physical feedback as controlling input from the user. The method employed in this project is the Brain-computer Interface (BCI, which enables direct communication between the brain and the electrical wheelchair. The best method for recording the brain’s activity is electroencephalogram (EEG. EEG signal is also known as brainwaves signal. The device that used for capturing the EEG signal is the Emotiv EPOC headset. This headset is able to transmit the EEG signal wirelessly via Bluetooth to the PC (personal computer. By using the PC software, the EEG signals are processed and converted into mental command. According to the mental command (e.g. forward, left... obtained, the output electrical signal is sent out to the electrical wheelchair to perform the desired movement. Thus, in this project, a computer software is developed for translating the EEG signal into mental commands and transmitting out the controlling signal wirelessly to the electrical wheelchair.

  9. Neurology and neurologic practice in China.

    Science.gov (United States)

    Shi, Fu-Dong; Jia, Jian-Ping

    2011-11-29

    In the wake of dramatic economic success during the past 2 decades, the specialized field of neurology has undergone a significant transformation in China. With an increase in life expectancy, the problems of aging and cognition have grown. Lifestyle alterations have been associated with an epidemiologic transition both in the incidence and etiology of stroke. These changes, together with an array of social issues and institution of health care reform, are creating challenges for practicing neurologists throughout China. Notable problems include overcrowded, decrepit facilities, overloaded physician schedules, deteriorating physician-patient relationships, and an insufficient infrastructure to accommodate patients who need specialized neurologic care. Conversely, with the creation of large and sophisticated neurology centers in many cities across the country, tremendous opportunities exist. Developments in neurologic subspecialties enable delivery of high-quality care. Clinical and translational research based on large patient populations as well as highly sophisticated technologies are emerging in many neurologic centers and pharmaceutical companies. Child neurology and neurorehabilitation will be fast-developing subdisciplines. Given China's extensive population, the growth and progress of its neurology complex, and its ever-improving quality control, it is reasonable to anticipate that Chinese neurologists will contribute notably to unraveling the pathogenic factors causing neurologic diseases and to providing new therapeutic solutions.

  10. Electroencephalography (EEG) Based Control in Assistive Mobile Robots: A Review

    Science.gov (United States)

    Krishnan, N. Murali; Mariappan, Muralindran; Muthukaruppan, Karthigayan; Hijazi, Mohd Hanafi Ahmad; Kitt, Wong Wei

    2016-03-01

    Recently, EEG based control in assistive robot usage has been gradually increasing in the area of biomedical field for giving quality and stress free life for disabled and elderly people. This study reviews the deployment of EGG based control in assistive robots, especially for those who in need and neurologically disabled. The main objective of this paper is to describe the methods used for (i) EEG data acquisition and signal preprocessing, (ii) feature extraction and (iii) signal classification methods. Besides that, this study presents the specific research challenges in the designing of these control systems and future research directions.

  11. Electroencephalography as a diagnostic technique for canine neurological diseases

    Directory of Open Access Journals (Sweden)

    Wrzosek Marcin

    2016-06-01

    Full Text Available Electroencephalography (EEG is a non-invasive examination method for the assessment of functional central nervous system (CNS disturbances. In human medicine it has a special importance as a diagnostic tool for epilepsy. Although many studies were done on the use of EEG for diagnostics of canine central nervous system disorders, the technique is still not applied routinely. The purpose of this paper was to review the use of the electroencephalography in canine neurological disorders of central nervous system diagnosis and assess the future perspectives of this technique in veterinary medicine.

  12. Neurology at the bedside

    DEFF Research Database (Denmark)

    Kondziella, Daniel; Waldemar, Gunhild

    This updated and expanded new edition takes neurology trainees by the hand and guides them through the whole patient encounter - from an efficient neurological history and bedside examination through to differential diagnosis, diagnostic procedures and treatment. At each step the expert authors......, as have new chapters including neurogenetics, neurorehabilitation, neurocritical care and heuristic neurological reasoning. In addition, this second edition now includes more than 100 unique case histories. Neurology at the Bedside, Second Edition is written for neurologists in all stages of training....... Medical students, general practitioners and others with an interest in neurology will also find invaluable information here....

  13. Recording EEG in immature rats with a novel miniature telemetry system

    OpenAIRE

    Zayachkivsky, A.; Lehmkuhle, M. J.; Fisher, J. H.; Ekstrand, J. J.; Dudek, F. E.

    2012-01-01

    Serial EEG recordings from immature rat pups are extremely difficult to obtain but important for analyzing animal models of neonatal seizures and other pediatric neurological conditions as well as normal physiology. In this report, we describe the features and applications of a novel miniature telemetry system designed to record EEG in rat pups as young as postnatal day 6 (P6). First, we have recorded electrographic seizure activity in two animal models of neonatal seizures, hypoxia- and kain...

  14. Diagnostic accuracy of the Salzburg EEG criteria for non-convulsive status epilepticus

    DEFF Research Database (Denmark)

    Leitinger, Markus; Trinka, Eugen; Gardella, Elena

    2016-01-01

    for the Salzburg criteria. The reference standard was inferred by two raters who were blinded to the scorings of the Salzburg criteria. Findings We retrospectively reviewed EEG data from 220 patients. EEGs in the clinical validation group were recorded in 120 patients between Jan 1, and Feb 28, 2014 (Austria......Background Several EEG criteria have been proposed for diagnosis of non-convulsive status epilepticus (NCSE), but none have been clinically validated. We aimed to assess the diagnostic accuracy of the EEG criteria proposed by a panel of experts at the fourth London–Innsbruck Colloquium on Status...... Epilepticus in Salzburg, 2013 (henceforth called the Salzburg criteria). Methods We did a retrospective, diagnostic accuracy study using EEG recordings from patients admitted for neurological symptoms or signs to three centres in two countries (Danish Epilepsy Centre, Dianalund, Denmark; Aarhus University...

  15. Chapter 38: American neurology.

    Science.gov (United States)

    Freemon, Frank R

    2010-01-01

    The great formative event in the history of North America, the Civil War of 1861 to 1865, was the stimulus for the development of clinical neurology and the neurosciences. The first neurological research center on the continent was the US Army hospital at Turner's Lane, Philadelphia, PA. Silas Weir Mitchell and his colleagues described causalgia (reflex sympathetic dystrophy), phantom limb sensation, and Horner's syndrome (before Horner). The medical leader of the Northern army was William Hammond. After the conclusion of hostilities, he began a huge clinical practice in New York City. In the United States, clinical neurology began in private practice, unlike Europe, where neurology began in institutions. Hammond's textbook, which first used the term athetosis, was used by a generation of physicians who encountered patients with neurological signs and symptoms. Early in the 20th century, neurological institutions were formed around universities; probably the most famous was the Montreal Neurological Institute founded by Wilder Penfield. The US federal government sponsored extensive research into the function and dysfunction of the nervous system through the Neurological Institute of Neurological Diseases and Blindness, later called the National Institute of Neurological Diseases and Stroke. The government officially classified the final 10 years of the 20th century as the Decade of the Brain and provided an even greater level of research funding.

  16. EEG dynamics during music appreciation.

    Science.gov (United States)

    Lin, Yuan-Pin; Jung, Tzyy-Ping; Chen, Jyh-Horng

    2009-01-01

    This study explores the electroencephalographic (EEG) correlates of emotions during music listening. Principal component analysis (PCA) is used to correlate EEG features with complex music appreciation. This study also applies machine-leaning algorithms to demonstrate the feasibility of classifying EEG dynamics in four subjectively-reported emotional states. The high classification accuracy (81.58+/-3.74%) demonstrates the feasibility of using EEG features to assess emotional states of human subjects. Further, the spatial and spectral patterns of the EEG most relevant to emotions seem reproducible across subjects.

  17. Continuous and routine eeg in intensive care

    OpenAIRE

    Ney, JP; Van Der Goes, DN; Nuwer, MR; Nelson, L; Eccher, MA

    2013-01-01

    Objectives: To evaluate the effect of intensive care unit continuous EEG (cEEG) monitoring on inpatient mortality, hospital charges, and length of stay. Methods: A retrospective cross-sectional study was conducted using the Nationwide Inpatient Sample, a dataset representing 20% of inpatient discharges in nonfederal US hospitals. Adult discharge records reporting mechanical ventilation and EEG (routine EEG or cEEG) were included. cEEG was compared with routine EEG alone in association with th...

  18. Nonlinear EEG Decoding Based on a Particle Filter Model

    Directory of Open Access Journals (Sweden)

    Jinhua Zhang

    2014-01-01

    Full Text Available While the world is stepping into the aging society, rehabilitation robots play a more and more important role in terms of both rehabilitation treatment and nursing of the patients with neurological diseases. Benefiting from the abundant contents of movement information, electroencephalography (EEG has become a promising information source for rehabilitation robots control. Although the multiple linear regression model was used as the decoding model of EEG signals in some researches, it has been considered that it cannot reflect the nonlinear components of EEG signals. In order to overcome this shortcoming, we propose a nonlinear decoding model, the particle filter model. Two- and three-dimensional decoding experiments were performed to test the validity of this model. In decoding accuracy, the results are comparable to those of the multiple linear regression model and previous EEG studies. In addition, the particle filter model uses less training data and more frequency information than the multiple linear regression model, which shows the potential of nonlinear decoding models. Overall, the findings hold promise for the furtherance of EEG-based rehabilitation robots.

  19. Nonconvulsive Status Epilepticus Resembling Clinical Absence with Atypical EEG Pattern

    Directory of Open Access Journals (Sweden)

    Channaiah Srikanth Mysore

    2017-01-01

    Full Text Available Objective. We are reporting two cases: a patient with steroid responsive encephalopathy associated with autoimmune thyroiditis (SREAT and another patient with secondary progressive multiple sclerosis (SPMS, both presenting with altered mental status (AMS and later diagnosed with nonconvulsive atypical absence status epilepticus (AS, with atypical EEG changes. Methods. A report of two cases. Results. A patient with history of SREAT and the other with SPMS had multiple admissions due to AMS. For both, EEG revealed the presence of a high voltage generalized sharply contoured theta activity. A diagnosis of NCSE with clinical features of AS was made based on both clinical and EEG features. There was significant clinical and electrographic improvement with administration of levetiracetam for both patients in addition to sodium valproate and Solumedrol for the SREAT patient. Both patients continued to be seizure free on follow-up few months later. Conclusions. This is a report of two cases of atypical AS, with atypical EEG, in patients with different neurological conditions. Prompt clinical and EEG recovery occurred following appropriate medical treatment. We think that this condition might be underreported and could significantly benefit from prompt treatment when appropriately diagnosed.

  20. Using amplitude-integrated EEG in neonatal intensive care.

    Science.gov (United States)

    Tao, J D; Mathur, A M

    2010-10-01

    The implementation of amplitude-integrated electroencephalography (aEEG) has enhanced the neurological monitoring of critically ill infants. Limited channel leads are applied to the patient and data are displayed in a semilogarithmic, time-compressed scale. Several classifications are currently in use to describe patient tracings, incorporating voltage criteria, pattern recognition, cyclicity, and the presence or absence of seizures. In term neonates, aEEG has been used to determine the prognosis and treatment for those affected by hypoxic-ischemic encephalopathy, seizures, meningitis and even congenital heart disease. Its application as inclusion criteria for therapeutic hypothermia remains controversial. In preterm infants, normative values and patterns corresponding to gestational age are being established. As these standards emerge, the predictive value of aEEG increases, especially in the setting of preterm brain injury and intraventricular hemorrhage. The sensitivity and specificity of aEEG are enhanced by the display of a simultaneous raw EEG, which aids interpretation. Caution must be taken when using and interpreting this tool in conjunction with certain medications and in the setting of less experienced staff. Continuing efforts at developing software that can aid seizure detection and background classification will enhance the bedside utility of this tool.

  1. Unsupervised EEG analysis for automated epileptic seizure detection

    Science.gov (United States)

    Birjandtalab, Javad; Pouyan, Maziyar Baran; Nourani, Mehrdad

    2016-07-01

    Epilepsy is a neurological disorder which can, if not controlled, potentially cause unexpected death. It is extremely crucial to have accurate automatic pattern recognition and data mining techniques to detect the onset of seizures and inform care-givers to help the patients. EEG signals are the preferred biosignals for diagnosis of epileptic patients. Most of the existing pattern recognition techniques used in EEG analysis leverage the notion of supervised machine learning algorithms. Since seizure data are heavily under-represented, such techniques are not always practical particularly when the labeled data is not sufficiently available or when disease progression is rapid and the corresponding EEG footprint pattern will not be robust. Furthermore, EEG pattern change is highly individual dependent and requires experienced specialists to annotate the seizure and non-seizure events. In this work, we present an unsupervised technique to discriminate seizures and non-seizures events. We employ power spectral density of EEG signals in different frequency bands that are informative features to accurately cluster seizure and non-seizure events. The experimental results tried so far indicate achieving more than 90% accuracy in clustering seizure and non-seizure events without having any prior knowledge on patient's history.

  2. EEG and ERP biomarkers of Alzheimer's disease: a critical review.

    Science.gov (United States)

    Horvath, Andras; Szucs, Anna; Csukly, Gabor; Sakovics, Anna; Stefanics, Gabor; Kamondi, Anita

    2018-01-01

    Here we critically review studies that used electroencephalography (EEG) or event-related potential (ERP) indices as a biomarker of Alzheimer's disease. In the first part we overview studies that relied on visual inspection of EEG traces and spectral characteristics of EEG. Second, we survey analysis methods motivated by dynamical systems theory (DST) as well as more recent network connectivity approaches. In the third part we review studies of sleep.  Next, we compare the utility of early and late ERP components in dementia research. In the section on mismatch negativity (MMN) studies we summarize their results and limitations and outline the emerging field of computational neurology. In the following we overview the use of EEG in the differential diagnosis of the most common neurocognitive disorders. Finally, we provide a summary of the state of the field and conclude that several promising EEG/ERP indices of synaptic neurotransmission are worth considering as potential biomarkers. Furthermore, we highlight some practical issues and discuss future challenges as well.

  3. Genetics of neurological disorders.

    Science.gov (United States)

    Faghihi, Mohammad Ali; Mottagui-Tabar, Salim; Wahlestedt, Claes

    2004-05-01

    Neurological diseases are defined as an inappropriate function of the peripheral or central nervous system due to impaired electrical impulses throughout the brain and/or nervous system that may present with heterogeneous symptoms according to the parts of the system involved in these pathologic processes. Growing evidence on genetic components of neurological disease have been collected during recent years. Genetic studies have opened the way for understanding the underlying pathology of many neurological disorders. The outcome of current intense research into the genetics of neurological disorders will hopefully be the introduction of new diagnostic tools and the discovery of potential targets for new and more effective medications and preventive measures.

  4. Focal neurological deficits

    Science.gov (United States)

    ... or head Electromyogram (EMG), nerve conduction velocities (NCV) MRI of the back, neck, or head Spinal tap Alternative Names Neurological deficits - focal Images Brain References Daroff RB, Jankovic ...

  5. EEG and intelligence: relations between EEG coherence, EEG phase delay and power.

    Science.gov (United States)

    Thatcher, R W; North, D; Biver, C

    2005-09-01

    There are two inter-related categories of EEG measurement: 1, EEG currents or power and; 2, EEG network properties such as coherence and phase delays. The purpose of this study was to compare the ability of these two different categories of EEG measurement to predict performance on the Weschler Intelligence test (WISC-R). Resting eyes closed EEG was recorded from 19 scalp locations with a linked ears reference from 442 subjects aged 5-52 years. The Weschler Intelligence test was administered to the same subjects but not while the EEG was recorded. Subjects were divided into high IQ (> or = 120) and low IQ ( EEG coherence > EEG amplitude asymmetry > absolute power > relative power and power ratios. The strongest correlations to IQ were short EEG phase delays in the frontal lobes and long phase delays in the posterior cortical regions, reduced coherence and increased absolute power. The findings are consistent with increased neural efficiency and increased brain complexity as positively related to intelligence, and with frontal lobe synchronization of neural resources as a significant contributing factor to EEG and intelligence correlations. Quantitative EEG predictions of intelligence provide medium to strong effect size estimates of cognitive functioning while simultaneously revealing a deeper understanding of the neurophysiological substrates of intelligence.

  6. Diagnostic Accuracy of microEEG: A Miniature, Wireless EEG Device

    OpenAIRE

    Grant, Arthur C.; Abdel-Baki, Samah G.; Omurtag, Ahmet; Sinert, Richard; Chari, Geetha; Malhotra, Schweta; Weedon, Jeremy; Fenton, Andre A.; Zehtabchi, Shahriar

    2014-01-01

    Measuring the diagnostic accuracy (DA) of an EEG device is unconventional and complicated by imperfect interrater reliability. We sought to compare the DA of a miniature, wireless, battery-powered EEG device (“microEEG”) to a reference EEG machine in emergency department (ED) patients with altered mental status (AMS). 225 ED patients with AMS underwent 3 EEGs. EEG1 (Nicolet Monitor, “reference”) and EEG2 (microEEG) were recorded simultaneously with EEG cup electrodes using a signal splitter. ...

  7. Functional neurological disorders: imaging.

    Science.gov (United States)

    Voon, V

    2014-10-01

    Functional neurological disorders, also known as conversion disorder, are unexplained neurological symptoms. These symptoms are common and can be associated with significant consequences. This review covers the neuroimaging literature focusing on functional motor symptoms including motor functioning and upstream influences including self-monitoring and internal representations, voluntariness and arousal and trauma. Copyright © 2014. Published by Elsevier SAS.

  8. Neurological Complications of AIDS

    Science.gov (United States)

    ... the National Library of Medicine’s MedlinePlus Living with HIV/AIDS × What research is being done? The National Institute of Neurological ... the National Library of Medicine’s MedlinePlus Living with HIV/AIDS See More About Research The National Institute of Neurological Disorders and Stroke ( ...

  9. A dry EEG-system for scientific research and brain-computer interfaces

    Directory of Open Access Journals (Sweden)

    Thorsten Oliver Zander

    2011-05-01

    Full Text Available Although it ranks among the oldest tools in neuroscientific research, electroencephalography (EEG still forms the method of choice in a wide variety of clinical and research applications. In the context of Brain-Computer Interfacing (BCI, EEG recently has become a tool to enhance Human-Machine Interaction (HMI. EEG could be employed in a wider range of environments, especially for the use of BCI systems in a clinical context or at the homes of patients. However, the application of EEG in these contexts is impeded by the cumbersome preparation of the electrodes with conductive gel that is necessary to lower the impedance between electrodes and scalp. Dry electrodes could provide a solution to this barrier and allow for EEG applications outside the laboratory. In addition, dry electrodes may reduce the time needed for neurological exams in clinical practice. This study evaluates a prototype of a three-channel dry electrode EEG system, comparing it to state-of-the-art conventional EEG electrodes. Two experimental paradigms were used: first, Event-Related Potentials (ERP were investigated with a variant of the oddball paradigm. Second, features of the frequency domain were compared by a paradigm inducing occipital alpha. Furthermore, both paradigms were used to evaluate BCI classification accuracies of both EEG systems. Amplitude and temporal structure of ERPs as well as features in the frequency domain did not differ significantly between the EEG systems. BCI classification accuracies were equally high in both systems when the frequency domain was considered. With respect to the oddball classification accuracy, there were slight differences between the wet and dry electrode systems. We conclude that the tested dry electrodes were capable to detect EEG signals with good quality and that these signals can be used for research or BCI applications. Easy to handle electrodes may help to foster the use of EEG among a wider range of potential users.

  10. Real time eye blink noise removal from EEG signals using morphological component analysis.

    Science.gov (United States)

    Matiko, Joseph W; Beeby, Stephen; Tudor, John

    2013-01-01

    This paper presents a method of removing the noise caused by eye blinks from an electroencephalogram (EEG) signal in real time based on morphological component analysis (MCA). This method sparsely represents both the eye blink and the EEG signal basis matrices using a Short Time Fourier Transform (STFT). This approach has two main advantages: 1) fast computation of the estimation of the signal coefficients using the basis pursuit algorithm 2) less memory requirement. The obtained result shows that the correlation coefficient between the raw EEG and the cleaned EEG is between 0.72 and 0.94 which implies that it is possible to remove eye blink noise from the EEG signal in real time without affecting an underlying brain signal.

  11. EEG analyses with SOBI.

    Energy Technology Data Exchange (ETDEWEB)

    Glickman, Matthew R.; Tang, Akaysha (University of New Mexico, Albuquerque, NM)

    2009-02-01

    The motivating vision behind Sandia's MENTOR/PAL LDRD project has been that of systems which use real-time psychophysiological data to support and enhance human performance, both individually and of groups. Relevant and significant psychophysiological data being a necessary prerequisite to such systems, this LDRD has focused on identifying and refining such signals. The project has focused in particular on EEG (electroencephalogram) data as a promising candidate signal because it (potentially) provides a broad window on brain activity with relatively low cost and logistical constraints. We report here on two analyses performed on EEG data collected in this project using the SOBI (Second Order Blind Identification) algorithm to identify two independent sources of brain activity: one in the frontal lobe and one in the occipital. The first study looks at directional influences between the two components, while the second study looks at inferring gender based upon the frontal component.

  12. EEG Source Analysis

    OpenAIRE

    Congedo, Marco

    2013-01-01

    Electroencephalographic data recorded on the human scalp can be modeled as a linear mixture of underlying dipolar source generators. The characterization of such generators is the aim of several families of signal processing methods. In this HDR we consider in several details three of such families, namely 1) EEG distributed inverse solutions, 2) diagonalization methods, including spatial filtering and blind source separation and 3) Riemannian geometry. We highlight our contributions in each ...

  13. The EEG segmentation

    OpenAIRE

    Nečadová, Anežka

    2013-01-01

    Předmětem této bakalářské práce je seznámení se signálem EEG. Jsou zde rozebrány jeho vlastnosti, použití a způsoby zpracování. Hlavní část se zabývá segmentací EEG signálu. Dvě metody segmentace jsou realizovány v programu Matlab, a to adaptivní segmentace na základě míry diference střední amplitudy a míry diference střední frekvence a adaptivní segmentace na základě míry diference odhadnuté z rychlé Fourierovy transformace. Funkčnost algoritmu je ověřena na reálných EEG signálech. Subjec...

  14. Sleep EEG analysis

    OpenAIRE

    Vávrová, Eva

    2014-01-01

    Tato bakalářská práce se zabývá analýzou spánkových EEG, která je provedena pomocí výpočtu vybraných parametrů z časové a frekvenční oblasti. Parametry se počítají z jednotlivých úseků EEG signálů, které odpovídají jednotlivým spánkovým fázím. Na základě analýzy se rozhodne, které parametry EEG jsou vhodné pro automatickou detekci fází a která metoda je vhodnější pro hodnocení dat v hypnogramu. K analýze byl použit program MATLAB, ve kterém byla daná data porovnána. This thesis deals with ...

  15. Real time eye blink noise removal from EEG signals using morphological component analysis

    OpenAIRE

    Matiko, Joseph W.; Beeby, Stephen; Tudor, John

    2013-01-01

    This paper presents a method of removing the noise caused by eye blinks from an electroencephalogram (EEG) signal in real time based on morphological component analysis (MCA). This method sparsely represents both the eye blink and the EEG signal basis matrices using a Short Time Fourier Transform (STFT). This approach has two main advantages: 1) fast computation of the estimation of the signal coefficients using the basis pursuit algorithm 2) less memory requirement. The obtained result shows...

  16. Neurologic complications of vaccinations.

    Science.gov (United States)

    Miravalle, Augusto A; Schreiner, Teri

    2014-01-01

    This chapter reviews the most common neurologic disorders associated with common vaccines, evaluates the data linking the disorder with the vaccine, and discusses the potential mechanism of disease. A literature search was conducted in PubMed using a combination of the following terms: vaccines, vaccination, immunization, and neurologic complications. Data were also gathered from publications of the American Academy of Pediatrics Committee on Infectious Diseases, the World Health Organization, the US Centers for Disease Control and Prevention, and the Vaccine Adverse Event Reporting System. Neurologic complications of vaccination are rare. Many associations have been asserted without objective data to support a causal relationship. Rarely, patients with a neurologic complication will have a poor outcome. However, most patients recover fully from the neurologic complication. Vaccinations have altered the landscape of infectious disease. However, perception of risk associated with vaccinations has limited the success of disease eradication measures. Neurologic complications can be severe, and can provoke fear in potential vaccines. Evaluating whether there is causal link between neurologic disorders and vaccinations, not just temporal association, is critical to addressing public misperception of risk of vaccination. Among the vaccines available today, the cost-benefit analysis of vaccinations and complications strongly argues in favor of vaccination. © 2014 Elsevier B.V. All rights reserved.

  17. Cardiomyopathy in neurological disorders.

    Science.gov (United States)

    Finsterer, Josef; Stöllberger, Claudia; Wahbi, Karim

    2013-01-01

    According to the American Heart Association, cardiomyopathies are classified as primary (solely or predominantly confined to heart muscle), secondary (those showing pathological myocardial involvement as part of a neuromuscular disorder) and those in which cardiomyopathy is the first/predominant manifestation of a neuromuscular disorder. Cardiomyopathies may be further classified as hypertrophic cardiomyopathy, dilated cardiomyopathy, restrictive cardiomyopathy, arrhythmogenic right ventricular cardiomyopathy, or unclassified cardiomyopathy (noncompaction, Takotsubo-cardiomyopathy). This review focuses on secondary cardiomyopathies and those in which cardiomyopathy is the predominant manifestation of a myopathy. Any of them may cause neurological disease, and any of them may be a manifestation of a neurological disorder. Neurological disease most frequently caused by cardiomyopathies is ischemic stroke, followed by transitory ischemic attack, syncope, or vertigo. Neurological disease, which most frequently manifests with cardiomyopathies are the neuromuscular disorders. Most commonly associated with cardiomyopathies are muscular dystrophies, myofibrillar myopathies, congenital myopathies and metabolic myopathies. Management of neurological disease caused by cardiomyopathies is not at variance from the same neurological disorders due to other causes. Management of secondary cardiomyopathies is not different from that of cardiomyopathies due to other causes either. Patients with neuromuscular disorders require early cardiologic investigations and close follow-ups, patients with cardiomyopathies require neurological investigation and avoidance of muscle toxic medication if a neuromuscular disorder is diagnosed. Which patients with cardiomyopathy profit most from primary stroke prevention is unsolved and requires further investigations. Copyright © 2013 Elsevier Inc. All rights reserved.

  18. Continuous EEG-SEP monitoring in severe brain injury.

    Science.gov (United States)

    Amantini, A; Fossi, S; Grippo, A; Innocenti, P; Amadori, A; Bucciardini, L; Cossu, C; Nardini, C; Scarpelli, S; Roma, V; Pinto, F

    2009-04-01

    To monitor acute brain injury in the neurological intensive care unit (NICU), we used EEG and somatosensory evoked potentials (SEP) in combination to achieve more accuracy in detecting brain function deterioration. Sixty-eight patients (head trauma and intracranial hemorrhage; GCSSEP and intracranial pressure monitoring (ICP). Fifty-five patients were considered "stable" or improving, considering the GCS and CT scan: in this group, SEP didn't show significant changes. Thirteen patients showed neurological deteriorations and, in all patients, cortical SEP showed significant alterations (amplitude decrease>50% often till complete disappearance). SEP deterioration anticipated ICP increase in 30%, was contemporary in 38%, and followed ICP increase in 23%. Considering SEP and ICP in relation to clinical course, all patients but one with ICP less than 20 mmHg were stable, while the three patients with ICP greater than 40 mmHg all died. Among the 26 patients with ICP of 20-40 mmHg, 17 were stable, while nine showed clinical and neurophysiological deterioration. Thus, there is a range of ICP values (20-40 mmHg) were ICP is scarcely indicative of clinical deterioration, rather it is the SEP changes that identify brain function deterioration. Therefore, SEP have a twofold interest with respect to ICP: their changes can precede an ICP increase and they can constitute a complementary tool to interpret ICP trends. It has been very important to associate SEP and EEG: about 60% of our patients were deeply sedated and, because of their relative insensitivity to anesthetics, only SEP allowed us to monitor brain damage evolution when EEG was scarcely valuable. We observed 3% of nonconvulsive status epilepticus compared to 18% of neurological deterioration. If the aim of neurophysiological monitoring is to "detect and protect", it may not be limited to detecting seizures, rather it should be able to identify brain deterioration, so we propose the combined monitoring of EEG with SEP.

  19. The history of invasive EEG evaluation in epilepsy patients.

    Science.gov (United States)

    Reif, Philipp S; Strzelczyk, Adam; Rosenow, Felix

    2016-10-01

    Modern invasive EEG recording techniques are the result of an interdisciplinary research process between neurologists and neurosurgeons that began in the 19th century. In the beginning, stimulation studies were the basis of our understanding of cortical functions. After the introduction of EEG in humans by Hans Berger and its implementation in diagnostic procedures in epilepsy patients, a new era began when Forster and Altenburger performed the first invasive EEG recording five years later. The fruitful work of Wilder Penfield and Herbert Jasper was the basis of a new understanding of epilepsy and influenced the investigations of the next generation of researchers. The development of stereotactic devices advanced by Jean Talairach and Jean Bancaud was fundamental to the understanding of deep brain functions and pathophysiological processes in epilepsy patients. In subsequent decades, new recording techniques were established and long-term video-EEG-recordings became the gold standard in presurgical evaluation. The development of imaging techniques allowed a combination of structural and electrophysiological data and restricted the indications for invasive evaluations, but also led to new concepts in the diagnostic process, including the epileptogenic network and the pathophysiological understanding of epileptogenic tissue. The following article provides an overview of the history of invasive EEG evaluation in epilepsy from the 19th century until today. Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  20. Neurology and international organizations.

    Science.gov (United States)

    Mateen, Farrah J

    2013-07-23

    A growing number of international stakeholders are engaged with neurologic diseases. This article provides a brief overview of important international stakeholders in the practice of neurology, including global disease-specific programs, United Nations agencies, governmental agencies with international influence, nongovernmental organizations, international professional organizations, large private donors, private-public partnerships, commercial interests, armed forces, and universities and colleges. The continued engagement of neurologists is essential for the growing number of international organizations that can and should incorporate neurologic disease into their global agendas.

  1. Neurological abnormalities predict disability

    DEFF Research Database (Denmark)

    Poggesi, Anna; Gouw, Alida; van der Flier, Wiesje

    2014-01-01

    To investigate the role of neurological abnormalities and magnetic resonance imaging (MRI) lesions in predicting global functional decline in a cohort of initially independent-living elderly subjects. The Leukoaraiosis And DISability (LADIS) Study, involving 11 European centres, was primarily aimed...... at evaluating age-related white matter changes (ARWMC) as an independent predictor of the transition to disability (according to Instrumental Activities of Daily Living scale) or death in independent elderly subjects that were followed up for 3 years. At baseline, a standardized neurological examination.......0 years, 45 % males), 327 (51.7 %) presented at the initial visit with ≥1 neurological abnormality and 242 (38 %) reached the main study outcome. Cox regression analyses, adjusting for MRI features and other determinants of functional decline, showed that the baseline presence of any neurological...

  2. Neurophysiology training in the Neurology Specialist Education Program in Spain.

    Science.gov (United States)

    Rodríguez-Antigüedad, A; Matías-Guiu, J; Hernández-Pérez, M A; Jiménez Hernández, M D; Martín González, M R; Morales Ortiz, A; Delgado, G; Frank, A; López de Silanes, C; Martínez-Vila, E

    2011-06-01

    The training period in neurophysiology is a substantial part of the Neurology Specialist Program in Spain. The National Neurology Committee (La Comisión Nacional de Neurología (CNN), which is the body reporting to the Ministries of Health and Education, must ensure compliance to the Program. During the first trimester of 2008, the CNN sent a questionnaire, in which there was a question asking about this training period, to each of the managers of the 69 teaching units accredited for neurology training in Spain, for them to answer. Of the 69 questionnaires issued, 49 were received completed, which was a response rate of 71%. The neurophysiology training period of the neurology specialist program in Spain was carried out in the same hospital in 44 teaching unit (90%): the remaining 5 sent their neurology trainees to 4 different hospitals. The Unit that carried out the neurophysiology training period was incorporated into the Neurology Department in 27 (55%) cases, and the formula was mixed in 3 (6%). A total of 69% of tutors were satisfied with the training, but was 90% in the hospitals where the unit was integrated into Neurology, and was 65% where this relationship did not exist. The neurologists in training were informed about EEG in 49% of education units, performed EMG/ENG 57%, and informed about evoked potentials in 35% after their training period. Although the level of satisfaction is high, the level of responsibility assumed by the neurologists in training during their rotation into neurophysiology does not appear to comply to the demands laid out in the training program, particularly in these units not integrated into Neurology Departments. Copyright © 2010 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  3. Neurological diseases and pain

    OpenAIRE

    Borsook, David

    2011-01-01

    Chronic pain is a frequent component of many neurological disorders, affecting 20–40% of patients for many primary neurological diseases. These diseases result from a wide range of pathophysiologies including traumatic injury to the central nervous system, neurodegeneration and neuroinflammation, and exploring the aetiology of pain in these disorders is an opportunity to achieve new insight into pain processing. Whether pain originates in the central or peripheral nervous system, it frequentl...

  4. Nonlinear Analysis of the Sleep EEG in Children with Pervasive Developmental Disorder

    Czech Academy of Sciences Publication Activity Database

    Kulíšek, R.; Hrnčíř, Z.; Hrdlička, M.; Faladová, L.; Štěrbová, K.; Kršek, P.; Vymlátilová, E.; Paluš, Milan; Zumrová, A.; Komárek, V.

    2008-01-01

    Roč. 29, č. 4 (2008), s. 512-517 ISSN 0172-780X Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG * synchronization * autism * underconnectivity model Subject RIV: FH - Neurology Impact factor: 1.359, year: 2008

  5. A Retrospective Audit Study of EEG Services in UITH, Ilorin, North ...

    African Journals Online (AJOL)

    Introduction : Electroencephalography (EEG) has remained a valuable tool in the investigation of neurological disorders since it was introduced by Hans Berger in 1892 despite the discoveries of other modern diagnostic procedures. Being cheap and non-invasive has contributed to this continued relevance in clinical ...

  6. Wikipedia and neurological disorders.

    Science.gov (United States)

    Brigo, Francesco; Igwe, Stanley C; Nardone, Raffaele; Lochner, Piergiorgio; Tezzon, Frediano; Otte, Willem M

    2015-07-01

    Our aim was to evaluate Wikipedia page visits in relation to the most common neurological disorders by determining which factors are related to peaks in Wikipedia searches for these conditions. Millions of people worldwide use the internet daily as a source of health information. Wikipedia is a popular free online encyclopedia used by patients and physicians to search for health-related information. The following Wikipedia articles were considered: Alzheimer's disease; Amyotrophic lateral sclerosis; Dementia; Epilepsy; Epileptic seizure; Migraine; Multiple sclerosis; Parkinson's disease; Stroke; Traumatic brain injury. We analyzed information regarding the total article views for 90 days and the rank of these articles among all those available in Wikipedia. We determined the highest search volume peaks to identify possible relation with online news headlines. No relation between incidence or prevalence of neurological disorders and the search volume for the related articles was found. Seven out of 10 neurological conditions showed relations in search volume peaks and news headlines. Six out of these seven peaks were related to news about famous people suffering from neurological disorders, especially those from showbusiness. Identification of discrepancies between disease burden and health seeking behavior on Wikipedia is useful in the planning of public health campaigns. Celebrities who publicly announce their neurological diagnosis might effectively promote awareness programs, increase public knowledge and reduce stigma related to diagnoses of neurological disorders. Copyright © 2015 Elsevier Ltd. All rights reserved.

  7. Application of linear graph embedding as a dimensionality reduction technique and sparse representation classifier as a post classifier for the classification of epilepsy risk levels from EEG signals

    Science.gov (United States)

    Prabhakar, Sunil Kumar; Rajaguru, Harikumar

    2015-12-01

    The most common and frequently occurring neurological disorder is epilepsy and the main method useful for the diagnosis of epilepsy is electroencephalogram (EEG) signal analysis. Due to the length of EEG recordings, EEG signal analysis method is quite time-consuming when it is processed manually by an expert. This paper proposes the application of Linear Graph Embedding (LGE) concept as a dimensionality reduction technique for processing the epileptic encephalographic signals and then it is classified using Sparse Representation Classifiers (SRC). SRC is used to analyze the classification of epilepsy risk levels from EEG signals and the parameters such as Sensitivity, Specificity, Time Delay, Quality Value, Performance Index and Accuracy are analyzed.

  8. Study on subsequent neurologic complications in children with acute leukemia

    Energy Technology Data Exchange (ETDEWEB)

    Kobayashi, Naoaki; Shimazaki, Haruyo; Hoshi, Yasutaka; Akatsuka, Jun-ichi (Jikei Univ., Tokyo (Japan). School of Medicine)

    1989-06-01

    Twenty-seven children with acute leukemia were studied in order to detect the subsequent neurologic complications due to chemotherapy and radiation therapy. Twenty-four patients with ALL received central nervous system prophylaxis including cranial irradiation. The methods of evaluation consisted of electroencephalogram (EEG), computed tomography of the head (CT scan), soft neurological sign, intelligence quotient (IQ) and Bender Gestalt test. The patients with relapse showed severe abnormalities in various kinds of examinations. Younger children at diagnosis were associated with a higher abnormality rate of soft neurological signs and Bender Gestalt test. Factors which were found to be closely associated with a lower IQ score included younger children at diagnosis and longer duration of remission time. These results indicate the need for caution for the dosage of cranial irradiation for younger patients in CNS prophylaxis, and improvement of a lower IQ score in long-term survivors requires further investigation as to the appropriate intellectual environment for their development after remission. (author).

  9. Brain-computer interfaces in neurological rehabilitation.

    Science.gov (United States)

    Daly, Janis J; Wolpaw, Jonathan R

    2008-11-01

    Recent advances in analysis of brain signals, training patients to control these signals, and improved computing capabilities have enabled people with severe motor disabilities to use their brain signals for communication and control of objects in their environment, thereby bypassing their impaired neuromuscular system. Non-invasive, electroencephalogram (EEG)-based brain-computer interface (BCI) technologies can be used to control a computer cursor or a limb orthosis, for word processing and accessing the internet, and for other functions such as environmental control or entertainment. By re-establishing some independence, BCI technologies can substantially improve the lives of people with devastating neurological disorders such as advanced amyotrophic lateral sclerosis. BCI technology might also restore more effective motor control to people after stroke or other traumatic brain disorders by helping to guide activity-dependent brain plasticity by use of EEG brain signals to indicate to the patient the current state of brain activity and to enable the user to subsequently lower abnormal activity. Alternatively, by use of brain signals to supplement impaired muscle control, BCIs might increase the efficacy of a rehabilitation protocol and thus improve muscle control for the patient.

  10. Dry EEG Electrodes

    Science.gov (United States)

    Lopez-Gordo, M. A.; Sanchez-Morillo, D.; Valle, F. Pelayo

    2014-01-01

    Electroencephalography (EEG) emerged in the second decade of the 20th century as a technique for recording the neurophysiological response. Since then, there has been little variation in the physical principles that sustain the signal acquisition probes, otherwise called electrodes. Currently, new advances in technology have brought new unexpected fields of applications apart from the clinical, for which new aspects such as usability and gel-free operation are first order priorities. Thanks to new advances in materials and integrated electronic systems technologies, a new generation of dry electrodes has been developed to fulfill the need. In this manuscript, we review current approaches to develop dry EEG electrodes for clinical and other applications, including information about measurement methods and evaluation reports. We conclude that, although a broad and non-homogeneous diversity of approaches has been evaluated without a consensus in procedures and methodology, their performances are not far from those obtained with wet electrodes, which are considered the gold standard, thus enabling the former to be a useful tool in a variety of novel applications. PMID:25046013

  11. [Neurology and literature].

    Science.gov (United States)

    Iniesta, I

    2010-10-01

    Literature complements medical literature in the academic and clinical development of neurologists. The present article explores the contributions of writers of fiction on neurology. Literary works of fiction with particular reference to neurology. A symbiosis between writers of fiction and doctors has been well recognised. From Shakespeare to Cervantes by way of Dickens and Cela to writer - physicians such as Anton Chekhov or António Lobo Antunes have contributed through their medically informed literature to the better understanding of neurology. Some writers like Dostoevsky, Machado de Assis and Margiad Evans have written about their own experiences with disease thus bringing new insights to medicine. Furthermore, some neurological disorders have been largely based on literary descriptions. For instance, Dostoevsky's epilepsy has been retrospectively analysed by famous neurologists including Freud, Alajouanine or Gastaut, whilst his writings and biography have prompted others like Waxman and Geschwind to describe typical behavioural changes in temporal lobe epilepsy, finding their source of inspiration in Dostoevsky. Likewise, Cirignotta et al have named an unusual type of seizure after the Russian novelist. Inspired by Lewis Carroll, Todd introduced the term Alice in Wonderland Syndrome to refer to visual distortions generally associated with migraine. Writers of fiction offer a humanised perception of disease by contributing new insights into the clinical history, informing about the subjective experience of the illness and helping to eradicate the stigma associated to neurological disorders.

  12. Suicide in Neurologic Illness.

    Science.gov (United States)

    Arciniegas, David B.; Anderson, C. Alan

    2002-11-01

    The risk of attempted or completed suicide is increased in patients with migraine with aura, epilepsy, stroke, multiple sclerosis, traumatic brain injury, and Huntington's disease. Contrary to the general perception that the risk of suicide among patients with Alzheimer's disease and other dementing conditions is low, several reports suggest that the risk of suicide in these patients increases relative to the general population. Some patients at risk for neurologic disorders are also at increased risk for suicide; in particular, the risk of suicide is increased among persons at risk for Huntington's disease, independent of the presence or absence of the Huntington's gene mutation. The risk of attempted or completed suicide in neurologic illness is strongly associated with depression, feelings of hopelessness or helplessness, and social isolation. Additional suicide risk factors in persons with neurologic illness include cognitive impairment, relatively younger age (under 60 years), moderate physical disability, recent onset or change in illness, a lack of future plans or perceived meaning in life, recent losses (personal, occupational, or financial), and prior history of psychiatric illness or suicidal behavior. Substance dependence, psychotic disorders, anxiety disorders, and some personality disorders (eg, borderline personality disorder) may also contribute to increased risk of suicide among persons with neurologic illnesses. Identification and aggressive treatment of psychiatric problems, especially depression, as well as reduction of modifiable suicide risk factors among patients with neurologic illness is needed to reduce the risk of attempted and completed suicide in this population.

  13. Neurologic manifestations of achondroplasia.

    Science.gov (United States)

    Hecht, Jacqueline T; Bodensteiner, John B; Butler, Ian J

    2014-01-01

    Achondroplasia is the best described and most common form of the congenital short-limbed dwarfing conditions. Achondroplasia is apparent at birth and has a birth prevalence of 1 in 20000-30000 live-born infants. Achondroplasia is inherited as an autosomal dominant condition, although 80% of cases occur sporadically as new events in their families. Achondroplasia is caused, in virtually all of the cases, by a G380R mutation in fibroblast growth factor receptor 3 (FGFR3). Patients with achondroplasia should be evaluated by a multidisciplinary team of clinicians including geneticists, neurologists, and orthopedists, since there are numerous bony and neurological complications. The most severe complication results from craniocervical stenosis and medullary and upper spinal cord compression, which can have devastating and even lethal sequelae during early childhood. In subsequent decades, including adolescence, spinal cord and nerve compression are more prominent. The neurological complications of achondroplasia have been recognized in adults for more than a century and are attributed to bony defects, connective tissue structures, or both. Similar neurological complications are now appreciated in infants, young children, and teenagers with achondroplasia. Defective connective tissue elements in achondroplasia frequently lead to ligamentous laxity, which can aggravate the complications associated with bony stenosis. Bony abnormalities are known to cause neurological morbidity and lead to a shortened lifespan. Neurological complications associated with achondroplasia are reviewed, including recommendations for the evaluation and management of these clinical problems. © 2014 Elsevier B.V. All rights reserved.

  14. EEG artifact removal-state-of-the-art and guidelines.

    Science.gov (United States)

    Urigüen, Jose Antonio; Garcia-Zapirain, Begoña

    2015-06-01

    This paper presents an extensive review on the artifact removal algorithms used to remove the main sources of interference encountered in the electroencephalogram (EEG), specifically ocular, muscular and cardiac artifacts. We first introduce background knowledge on the characteristics of EEG activity, of the artifacts and of the EEG measurement model. Then, we present algorithms commonly employed in the literature and describe their key features. Lastly, principally on the basis of the results provided by various researchers, but also supported by our own experience, we compare the state-of-the-art methods in terms of reported performance, and provide guidelines on how to choose a suitable artifact removal algorithm for a given scenario. With this review we have concluded that, without prior knowledge of the recorded EEG signal or the contaminants, the safest approach is to correct the measured EEG using independent component analysis-to be precise, an algorithm based on second-order statistics such as second-order blind identification (SOBI). Other effective alternatives include extended information maximization (InfoMax) and an adaptive mixture of independent component analyzers (AMICA), based on higher order statistics. All of these algorithms have proved particularly effective with simulations and, more importantly, with data collected in controlled recording conditions. Moreover, whenever prior knowledge is available, then a constrained form of the chosen method should be used in order to incorporate such additional information. Finally, since which algorithm is the best performing is highly dependent on the type of the EEG signal, the artifacts and the signal to contaminant ratio, we believe that the optimal method for removing artifacts from the EEG consists in combining more than one algorithm to correct the signal using multiple processing stages, even though this is an option largely unexplored by researchers in the area.

  15. Using of the interictal EEGs for epilepsy diagnosing

    Science.gov (United States)

    Panischev, O. Yu; Demin, S. A.; Zinatullin, E. M.

    2015-12-01

    In this work we apply a new method to determine the differences in characteristics of the cortical electroencephalographic (EEG) activity, measured during interictal stage (i.e., period between seizures), between healthy subjects and patients with epilepsy. To analyze the dynamical and spectral properties of bioelectric activity we use power spectra and phase portraits which are introduced on the basis of the Memory Function Formalism (MFF). We discover the significant differences in the types of power spectra of the EEG for healthy subjects and patients. We reveal the cerebral cortex areas for which the EEG activity of considered groups of subjects has a different structure of the phase portraits. The proposed approach can be used as an additional method for diagnosis of epilepsy during interictal stage.

  16. Nonconvulsive status epilepticus in a neurological intensive care unit: profile in a developing country.

    Science.gov (United States)

    Narayanan, Jaishree T; Murthy, Jagarlapudi M K

    2007-05-01

    Nonconvulsive status epilepticus (NCSE) is an under-recognized cause of altered mental status. There are hardly any reported data on NCSE in developing countries. Prospectively 210 consecutive patients with altered mental status admitted to neurological intensive care unit (NICU) of a tertiary care center in south India were studied for the frequency of NCSE. All patients were evaluated initially with 60-min emergent EEG (EmEEG) and subsequently by continuous EEG (cEEG) monitoring. Of the 210 with altered mental status admitted to NICU, the diagnosis of NCSE was established in 22 (10.5%) patients, in 12 (55%) patients with 60-min EmEEG and in 10 (45%) after cEEG monitoring for 12 to 48 hours. Of the 22 patients with NCSE, 32% had subtle motor phenomena, these were not an initial presenting features, but were apparent during cEEG recording. Acute medical or neurologic etiology was the risk factor in 68% of patients. Central nervous system (CNS) infections and cortical sino-venous thrombosis (CSVT), respectively, accounted for 23% and 14% of the etiologies. Intravenous midazolam terminated NCSE in 19 patients and valproate in 2. Of the 15 patients with acute symptomatic NCSE, 4 (18%) had poor prognosis (3 deaths and one persistent vegetative state). The etiological risk factors in the 9 (41%) patients with excellent outcome included epilepsy (3), remote symptomatic (2), cryptogenic (1), and metabolic and drugs (3). The frequency of NCSE in the current study was comparable with those in prior reports from developed countries. CNS infections accounted for about a fifth of the etiology. Outcome was excellent in patients with nonacute symptomatic NCSE. Initial 60-min EmEEG may be performed in establishing the diagnosis of NCSE, but almost half of patients with NCSE will be missed with this approach.

  17. Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese; Hansen, Lars Kai

    2016-01-01

    . We summarize these insights in an inverse solver, the so-called "Variational Garrote" (Kappen and Gómez, 2013). Using a Markov prior we can incorporate flexible degrees of temporal stationarity. Through spatial basis functions spatially smooth distributions are obtained. Sparsity...... of these are inherent to the Variational Garrote solver. We name our method the MarkoVG and demonstrate its ability to adapt to the temporal smoothness and spatial sparsity in simulated EEG data. Finally a benchmark EEG dataset is used to demonstrate MarkoVG's ability to recover non-stationary brain dynamics.......Electroencephalography (EEG) can capture brain dynamics in high temporal resolution. By projecting the scalp EEG signal back to its origin in the brain also high spatial resolution can be achieved. Source localized EEG therefore has potential to be a very powerful tool for understanding...

  18. [Neurological sleep disorders].

    Science.gov (United States)

    Khatami, Ramin

    2014-11-01

    Neurological sleep disorders are common in the general population and may have a strong impact on quality of life. General practitioners play a key role in recognizing and managing sleep disorders in the general population. They should therefore be familiar with the most important neurological sleep disorders. This review provides a comprehensive overview of the most prevalent and important neurological sleep disorders, including Restless legs syndrome (with and without periodic limb movements in sleep), narcolepsy, NREM- and REM-sleep parasomnias and the complex relationship between sleep and epilepsies. Although narcolepsy is considered as a rare disease, recent discoveries in narcolepsy research provided insight in the function of brain circuitries involved in sleep wake regulation. REM sleep behavioral parasomnia (RBD) is increasingly recognized to represent an early manifestation of neurodegenerative disorders, in particular evolving synucleinopathies. Early diagnosis may thus open new perspectives for developing novel treatment options by targeting neuroprotective substances.

  19. [EEG spectral characteristics in the dynamics of planned movements].

    Science.gov (United States)

    Aslanian, E V; Kiroĭ, V N; Lazurenko, D M; Bakhtin, O M; Miniaeva, N R

    2014-01-01

    The spectral characteristics of the EEG in 11 healthy right-handed volunteers with no neurological disorders in dynamics of the unusual finger movements of both hands in random rhythm have been investigated. In particular, it is shown that the preparation and execution of voluntary finger movements compared to the rest were accompanied by a reduction level of activation within almost all the surface of cerebral cortex, except for right frontal lobe. It has been experimentally demonstrated that a significant increasing EEG activity of the right frontal area in high-frequency domain power spectrum was independent of the working limb. This might testify the direct participation of this cortical area in the processes of voluntary muscular activity planning, initiation and control.

  20. Video-EEG recording: a four-year clinical audit.

    LENUS (Irish Health Repository)

    O'Rourke, K

    2012-02-03

    In the setting of a regional neurological unit without an epilepsy surgery service as in our case, video-EEG telemetry is undertaken for three main reasons; to investigate whether frequent paroxysmal events represent seizures when there is clinical doubt, to attempt anatomical localization of partial seizures when standard EEG is unhelpful, and to attempt to confirm that seizures are non-epileptic when this is suspected. A clinical audit of all telemetry performed over a four-year period was carried out, in order to determine the clinical utility of this aspect of the service and to determine means of improving effectiveness in the unit. Analysis of the data showed a high rate of negative studies with no attacks recorded. Of the positive studies approximately 50% showed non-epileptic attacks. Strategies for improving the rate of positive investigations are discussed.

  1. [Symbolic dynamics analysis of epileptic EEG signals of the rat].

    Science.gov (United States)

    Zhao, Yong; Hong, Wenxue

    2012-08-01

    Epilepsy is a common chronic neurological disease, which is caused by excessive brain neuron discharge. The epileptic seizure has the characteristic of abruptness and reiteration. Prediction of seizures has great significance for patients to take timely and effective clinical measures. The symbolic dynamics method was introduced to analyze absence epilepsy EEG. The key parameters affecting the symbolic statistical quantities were discussed. The symbolic entropy and time irreversebility were calculated in different epilepsy stages. It was found that the symbolic entropy and the time irreversebility were rather big in interictal stage. The two parameters declined significantly during the transformation process from interictal stage to ictal stage and maintained lower value during ictal stage. The results showed that the symbolic dynamics method could reflect the changes of epilepsy EEG. The symbolic entropy and time irreversebility are sensitive features indicating different stages of seizures and have potential important clinical applications.

  2. EEG INTERFACE MODULE FOR COGNITIVE ASSESSMENT THROUGH NEUROPHYSIOLOGIC TESTS

    Directory of Open Access Journals (Sweden)

    Kundan Lal Verma

    2014-12-01

    Full Text Available The cognitive signal processing is one of the important interdisciplinary field came from areas of life sciences, psychology, psychiatry, engi-neering, mathematics, physics, statistics and many other fields of research. Neurophysiologic tests are utilized to assess and treat brain injury, dementia, neurological conditions, and useful to investigate psychological and psychiatric disorders. This paper presents an ongoing research work on development of EEG interface device based on the principles of cognitive assessments and instrumentation. The method proposed engineering and science of cogni-tive signal processing in case of brain computer in-terface based neurophysiologic tests. The future scope of this study is to build a low cost EEG device for various clinical and pre-clinical applications with specific emphasis to measure the effect of cognitive action on human brain.

  3. Sustained Attention in Real Classroom Settings: An EEG Study

    Directory of Open Access Journals (Sweden)

    Li-Wei Ko

    2017-07-01

    Full Text Available Sustained attention is a process that enables the maintenance of response persistence and continuous effort over extended periods of time. Performing attention-related tasks in real life involves the need to ignore a variety of distractions and inhibit attention shifts to irrelevant activities. This study investigates electroencephalography (EEG spectral changes during a sustained attention task within a real classroom environment. Eighteen healthy students were instructed to recognize as fast as possible special visual targets that were displayed during regular university lectures. Sorting their EEG spectra with respect to response times, which indicated the level of visual alertness to randomly introduced visual stimuli, revealed significant changes in the brain oscillation patterns. The results of power-frequency analysis demonstrated a relationship between variations in the EEG spectral dynamics and impaired performance in the sustained attention task. Across subjects and sessions, prolongation of the response time was preceded by an increase in the delta and theta EEG powers over the occipital region, and decrease in the beta power over the occipital and temporal regions. Meanwhile, implementation of the complex attention task paradigm into a real-world classroom setting makes it possible to investigate specific mutual links between brain activities and factors that cause impaired behavioral performance, such as development and manifestation of classroom mental fatigue. The findings of the study set a basis for developing a system capable of estimating the level of visual attention during real classroom activities by monitoring changes in the EEG spectra.

  4. Brain Oscillations in Sport: Toward EEG Biomarkers of Performance.

    Science.gov (United States)

    Cheron, Guy; Petit, Géraldine; Cheron, Julian; Leroy, Axelle; Cebolla, Anita; Cevallos, Carlos; Petieau, Mathieu; Hoellinger, Thomas; Zarka, David; Clarinval, Anne-Marie; Dan, Bernard

    2016-01-01

    Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The non-invasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu), and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.

  5. Brain oscillations in sport: toward EEG biomakers of performance

    Directory of Open Access Journals (Sweden)

    Guy eCheron

    2016-02-01

    Full Text Available Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The noninvasive nature of high-density electroencephalography (EEG recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.

  6. The neurological disease ontology.

    Science.gov (United States)

    Jensen, Mark; Cox, Alexander P; Chaudhry, Naveed; Ng, Marcus; Sule, Donat; Duncan, William; Ray, Patrick; Weinstock-Guttman, Bianca; Smith, Barry; Ruttenberg, Alan; Szigeti, Kinga; Diehl, Alexander D

    2013-12-06

    We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) for the representation of entities in the domain of disease and medical practice. Initial applications of ND will include the annotation and analysis of large data sets and patient records for Alzheimer's disease, multiple sclerosis, and stroke. ND is implemented in OWL 2 and currently has more than 450 terms that refer to and describe various aspects of neurological diseases. ND directly imports the development version of OGMS, which uses BFO 2. Term development in ND has primarily extended the OGMS terms 'disease', 'diagnosis', 'disease course', and 'disorder'. We have imported and utilize over 700 classes from related ontology efforts including the Foundational Model of Anatomy, Ontology for Biomedical Investigations, and Protein Ontology. ND terms are annotated with ontology metadata such as a label (term name), term editors, textual definition, definition source, curation status, and alternative terms (synonyms). Many terms have logical definitions in addition to these annotations. Current development has focused on the establishment of the upper-level structure of the ND hierarchy, as well as on the representation of Alzheimer's disease, multiple sclerosis, and stroke. The ontology is available as a version-controlled file at http://code.google.com/p/neurological-disease-ontology along with a discussion list and an issue tracker. ND seeks to provide a formal foundation for the representation of clinical and research data

  7. EEG in connection with coma.

    Science.gov (United States)

    Wilson, John A; Nordal, Helge J

    2013-01-08

    Coma is a dynamic condition that may have various causes. Important changes may take place rapidly, often with consequences for treatment. The purpose of this article is to provide a brief overview of EEG patterns in comas with various causes, and indicate how EEG contributes in an assessment of the prognosis for coma patients. The article is based on many years of clinical and research-based experience of EEG used for patients in coma. A self-built reference database was supplemented by searches for relevant articles in PubMed. EEG reveals immediate changes in coma, and can provide early information on cause and prognosis. It is the only diagnostic tool for detecting a non-convulsive epileptic status. Locked-in- syndrome may be overseen without EEG. Repeated EEG scans increase diagnostic certainty and make it possible to monitor the development of coma. EEG reflects brain function continuously and therefore holds a key place in the assessment and treatment of coma.

  8. Neurologic Diseases and Sleep.

    Science.gov (United States)

    Barone, Daniel A; Chokroverty, Sudansu

    2017-03-01

    Sleep disorders and neurologic illness are common and burdensome in their own right; when combined, they can have tremendous negative impact at an individual level as well as societally. The socioeconomic burden of sleep disorders and neurologic illness can be identified, but the real cost of these conditions lies far beyond the financial realm. There is an urgent need for comprehensive care and support systems to help with the burden of disease. Further research in improving patient outcomes in those who suffer with these conditions will help patients and their families, and society in general. Copyright © 2016 Elsevier Inc. All rights reserved.

  9. Neurologic Complications in Pregnancy.

    Science.gov (United States)

    Cuero, Mauricio Ruiz; Varelas, Panayiotis N

    2016-01-01

    Pregnant women are subject to the same complications as the general population, as well to specific neurologic complications associated with pregnancy, such as preeclampsia or eclampsia. The hormonal and physiologic changes during pregnancy lead to altered incidences of these complications, which usually present during the late period of pregnancy, labor, or the puerperium. In addition, the treatment of these conditions is different from that of nonpregnant women, because special attention is paid to avoid any abnormalities or death of the fetus. This article discusses the most common of these neurologic complications. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. The neurology literature 2016.

    Science.gov (United States)

    Khoujah, Danya; Chang, Wan-Tsu W; Abraham, Michael K

    2017-09-06

    Emergency neurology is a complex and rapidly changing field. Its evolution can be attributed in part to increased imaging options, debates about optimal treatment, and simply the growth of emergency medicine as a specialty. Every year, a number of articles published in emergency medicine or other specialty journals should become familiar to the emergency physician. This review summarizes neurology articles published in 2016, which the authors consider crucial to the practice of emergency medicine. The articles are categorized according to disease process, with the understanding that there can be significant overlap among articles. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Improved neurologic prognosis for a patient with propionic acidemia who received early living donor liver transplantation.

    Science.gov (United States)

    Nagao, Masayoshi; Tanaka, Toju; Morii, Mayuko; Wakai, Shuji; Horikawa, Reiko; Kasahara, Mureo

    2013-01-01

    Despite medical therapy, patients with propionic academia (PA) still display a tendency to develop epilepsy. Patients with neonatal-onset PA who have received early living donor liver transplantation (LDLT) are limited in number, and the effect on neurologic prognosis, including epilepsy, is not clear. We report a patient with PA whose EEG findings improved dramatically after undergoing LDLT at age 7 months. The patient's neurologic development and brain MRI findings were quite satisfactory at age 2 years and 3 months. LDLT is effective not only in preventing metabolic decompensation, but also in improving neurologic function to ensure better quality of life. Copyright © 2012 Elsevier Inc. All rights reserved.

  12. Long-term EEG in adults: sleep-deprived EEG (SDE), ambulatory EEG (Amb-EEG) and long-term video-EEG recording (LTVER).

    Science.gov (United States)

    Michel, V; Mazzola, L; Lemesle, M; Vercueil, L

    2015-03-01

    Long-term EEG in adults includes three modalities: sleep deprived-EEG lasting 1 to 3 hours, 24 hours ambulatory-EEG and continuous prolonged video-EEG lasting from several hours to several days. The main indications of long-term EEG are: syndromic classification of epilepsy; search for interictal discharges when epilepsy is suspected or for the purpose of therapeutic evaluation; positive diagnosis of paroxysmal clinical events; and pre-surgical evaluation of drug-resistant epilepsy. Sleep deprived-EEG and ambulatory-EEG are indicated to detect interictal discharges in order to validate a syndromic classification of epilepsy when standard EEG is negative. These exams can help in evaluating treatment efficacy, especially when clinical evaluation is difficult. Long-term video EEG is indicated for drug-resistant epilepsy, to analyze electro-clinical correlations in a pre-surgical evaluation context, and to refine a positive diagnosis when paroxysmal clinical events are frequent. Copyright © 2015. Published by Elsevier SAS.

  13. Electroencephalogy (EEG) Feedback in Decision-Making

    Science.gov (United States)

    2015-08-26

    Electroencephalogy ( EEG ) Feedback In Decision- Making The goal of this project is to investigate whether Electroencephalogy ( EEG ) can provide useful...feedback when training rapid decision-making. More specifically, EEG will allow us to provide online feedback about the neural decision processes...Electroencephalogy ( EEG ) Feedback In Decision-Making Report Title The goal of this project is to investigate whether Electroencephalogy ( EEG ) can provide useful

  14. Comparison of Amplitude-Integrated EEG and Conventional EEG in a Cohort of Premature Infants.

    Science.gov (United States)

    Meledin, Irina; Abu Tailakh, Muhammad; Gilat, Shlomo; Yogev, Hagai; Golan, Agneta; Novack, Victor; Shany, Eilon

    2017-03-01

    To compare amplitude-integrated EEG (aEEG) and conventional EEG (EEG) activity in premature neonates. Biweekly aEEG and EEG were simultaneously recorded in a cohort of infants born less than 34 weeks gestation. aEEG recordings were visually assessed for lower and upper border amplitude and bandwidth. EEG recordings were compressed for visual evaluation of continuity and assessed using a signal processing software for interburst intervals (IBI) and frequencies' amplitude. Ten-minute segments of aEEG and EEG indices were compared using regression analysis. A total of 189 recordings from 67 infants were made, from which 1697 aEEG/EEG pairs of 10-minute segments were assessed. Good concordance was found for visual assessment of continuity between the 2 methods. EEG IBI, alpha and theta frequencies' amplitudes were negatively correlated to the aEEG lower border while conceptional age (CA) was positively correlated to aEEG lower border ( P EEG to aEEG. aEEG recordings in high-risk premature neonates reflect reliably EEG background information related to continuity and amplitude.

  15. Neurological basis for eye movements of the blind.

    Directory of Open Access Journals (Sweden)

    Rosalyn M Schneider

    Full Text Available When normal subjects fix their eyes upon a stationary target, their gaze is not perfectly still, due to small movements that prevent visual fading. Visual loss is known to cause greater instability of gaze, but reported comparisons with normal subjects using reliable measurement techniques are few. We measured binocular gaze using the magnetic search coil technique during attempted fixation (monocular or binocular viewing of 4 individuals with childhood-onset of monocular visual loss, 2 individuals with late-onset monocular visual loss due to age-related macular degeneration, 2 individuals with bilateral visual loss, and 20 healthy control subjects. We also measured saccades to visual or somatosensory cues. We tested the hypothesis that gaze instability following visual impairment is caused by loss of inputs that normally optimize the performance of the neural network (integrator, which ensures both monocular and conjugate gaze stability. During binocular viewing, patients with early-onset monocular loss of vision showed greater instability of vertical gaze in the eye with visual loss and, to a lesser extent, in the normal eye, compared with control subjects. These vertical eye drifts were much more disjunctive than upward saccades. In individuals with late monocular visual loss, gaze stability was more similar to control subjects. Bilateral visual loss caused eye drifts that were larger than following monocular visual loss or in control subjects. Accurate saccades could be made to somatosensory cues by an individual with acquired blindness, but voluntary saccades were absent in an individual with congenital blindness. We conclude that the neural gaze-stabilizing network, which contains neurons with both binocular and monocular discharge preferences, is under adaptive visual control. Whereas monocular visual loss causes disjunctive gaze instability, binocular blindness causes both disjunctive and conjugate gaze instability (drifts and nystagmus. Inputs that bypass this neural network, such as projections to motoneurons for upward saccades, remain conjugate.

  16. Neurological aspects of eclampsia

    Directory of Open Access Journals (Sweden)

    Jovanović Dejana

    2003-01-01

    Full Text Available The difficult types of preeclampsia and eclampsia are presented with the neurological symptoms. The break of cerebral autoregulation mechanism plays the most important role in pathogenesis of cerebral vasospasm. Nevertheless eclampsia isn’t just an ordinary hypertensive encephalopathy because other pathogenic mechanisms are involved in its appearance. The main neuropathologic changes are multifocal vasogenic edema, perivascular multiple microinfarctions and petechial hemorrhages. Neurological clinical manifestations are convulsions, headache, visual disturbances and rarely other discrete focal neurological symptoms. Eclampsia is a high-risk factor for onset of hemorrhagic or ischemic stroke. This is a reason why neurological diagnostic tests are sometimes needed. The method of choice for evaluation of complicated eclampsia is computerized brain topography that shows multiple areas of hypodensity in occipitoparietal regions. These changes are focal vasogenic cerebral edema. For differential diagnosis of eclampsia and stroke other diagnostic methods can be used - fundoscopic exam, magnetic resonance brain imaging, cerebral angiography and cerebrospinal fluid exam. The therapy of eclampsia considers using of magnesium sulfate, antihypertensive, anticonvulsive and antiedematous drugs.

  17. Wikipedia and neurological disorders

    NARCIS (Netherlands)

    Brigo, Francesco; Igwe, Stanley C.; Nardone, Raffaele; Lochner, Piergiorgio; Tezzon, Frediano; Otte, WM

    2015-01-01

    Our aim was to evaluate Wikipedia page visits in relation to the most common neurological disorders by determining which factors are related to peaks in Wikipedia searches for these conditions. Millions of people worldwide use the internet daily as a source of health information. Wikipedia is a

  18. Astroglia in neurological diseases

    Czech Academy of Sciences Publication Activity Database

    Verkhratsky, Alexei; Rodríguez Arellano, Jose Julio; Parpura, V.

    2013-01-01

    Roč. 8, č. 2 (2013), s. 149-158 ISSN 1479-6708 R&D Projects: GA ČR(CZ) GAP304/11/0184; GA ČR GA309/09/1696 Institutional support: RVO:68378041 Keywords : amyotrophic lateral sclerosis * Alzheimer's disease * Alexander disease Subject RIV: FH - Neurology

  19. Sensitivity of quantitative EEG for seizure identification in the intensive care unit.

    Science.gov (United States)

    Haider, Hiba A; Esteller, Rosana; Hahn, Cecil D; Westover, M Brandon; Halford, Jonathan J; Lee, Jong W; Shafi, Mouhsin M; Gaspard, Nicolas; Herman, Susan T; Gerard, Elizabeth E; Hirsch, Lawrence J; Ehrenberg, Joshua A; LaRoche, Suzette M

    2016-08-30

    To evaluate the sensitivity of quantitative EEG (QEEG) for electrographic seizure identification in the intensive care unit (ICU). Six-hour EEG epochs chosen from 15 patients underwent transformation into QEEG displays. Each epoch was reviewed in 3 formats: raw EEG, QEEG + raw, and QEEG-only. Epochs were also analyzed by a proprietary seizure detection algorithm. Nine neurophysiologists reviewed raw EEGs to identify seizures to serve as the gold standard. Nine other neurophysiologists with experience in QEEG evaluated the epochs in QEEG formats, with and without concomitant raw EEG. Sensitivity and false-positive rates (FPRs) for seizure identification were calculated and median review time assessed. Mean sensitivity for seizure identification ranged from 51% to 67% for QEEG-only and 63%-68% for QEEG + raw. FPRs averaged 1/h for QEEG-only and 0.5/h for QEEG + raw. Mean sensitivity of seizure probability software was 26.2%-26.7%, with FPR of 0.07/h. Epochs with the highest sensitivities contained frequent, intermittent seizures. Lower sensitivities were seen with slow-frequency, low-amplitude seizures and epochs with rhythmic or periodic patterns. Median review times were shorter for QEEG (6 minutes) and QEEG + raw analysis (14.5 minutes) vs raw EEG (19 minutes; p = 0.00003). A panel of QEEG trends can be used by experts to shorten EEG review time for seizure identification with reasonable sensitivity and low FPRs. The prevalence of false detections confirms that raw EEG review must be used in conjunction with QEEG. Studies are needed to identify optimal QEEG trend configurations and the utility of QEEG as a screening tool for non-EEG personnel. This study provides Class II evidence that QEEG + raw interpreted by experts identifies seizures in patients in the ICU with a sensitivity of 63%-68% and FPR of 0.5 seizures per hour. © 2016 American Academy of Neurology.

  20. Analysis of EEG signals under flash stimulation for migraine and epileptic patients.

    Science.gov (United States)

    Akben, Selahaddin Batuhan; Subasi, Abdülhamit; Tuncel, Deniz

    2011-06-01

    Migraine and epilepsy are both persistent disorders characterised by recurrent neurological attacks. Visual symptoms and hypersensitivity to light stimuli are frequent in migraine. Analysis of EEG signals under flash stimulation for migraine and epileptic patients is not a new method. But magnitude increasing under flash stimulation for migraine patients has not been studied yet. The aims of this study is the analysis of multichannel electroencephalogram (EEG) in migraine and epileptic patients by visual evoked potentials (VEP) and investigate the existence of magnitude increasing under flash stimulation for migraine patients. In this study as a method of flash stimuli at frequencies of 2, 4 and 6 Hz were applied to different migraine and epileptic patients under pain-free phase with the EEG recorded from 18 scalp electrodes, referred to the linked earlobes. We used AR parametric method to analyze and characterize EEG signals in migraine and epileptic patients. The variations in the EEG power spectra shapes were examined in order to obtain medical information. These power spectra were then used to compare the applied method in terms of their frequency resolution and the effects in determination of migraine and epilepsy. Global performance of the proposed methods was evaluated by means of the visual inspection of power spectral densities (PSDs). For the migraine patients, an increase in amplitude has observed at the beta bands of EEG signals under flash stimulation as compared to EEG signals without stimulation. As opposed to this, for epileptic patients, an increase in amplitude has observed at the alpha bands of EEG signals without flash stimulation. Meanwhile for the control groups, there is no change between EEG signals under flash stimulation and without flash stimulation.

  1. Independent EEG sources are dipolar

    National Research Council Canada - National Science Library

    Delorme, Arnaud; Palmer, Jason; Onton, Julie; Oostenveld, Robert; Makeig, Scott

    2012-01-01

    Independent component analysis (ICA) and blind source separation (BSS) methods are increasingly used to separate individual brain and non-brain source signals mixed by volume conduction in electroencephalographic (EEG...

  2. Survey on current practices for neurological prognostication after cardiac arrest.

    Science.gov (United States)

    Friberg, Hans; Cronberg, Tobias; Dünser, Martin W; Duranteau, Jacques; Horn, Janneke; Oddo, Mauro

    2015-05-01

    To investigate current practices and timing of neurological prognostication in comatose cardiac arrest patients. An anonymous questionnaire was distributed to the 8000 members of the European Society of Intensive Care Medicine during September and October 2012. The survey had 27 questions divided into three categories: background data, clinical data, decision-making and consequences. A total of 1025 respondents (13%) answered the survey with complete forms in more than 90%. Twenty per cent of respondents practiced outside of Europe. Overall, 22% answered that they had national recommendations, with the highest percentage in the Netherlands (>80%). Eighty-nine per cent used induced hypothermia (32-34 °C) for comatose cardiac arrest patients, while 11% did not. Twenty per cent had separate prognostication protocols for hypothermia patients. Seventy-nine per cent recognized that neurological examination alone is not enough to predict outcome and a similar number (76%) used additional methods. Intermittent electroencephalography (EEG), brain computed tomography (CT) scan and evoked potentials (EP) were considered most useful. Poor prognosis was defined as cerebral performance category (CPC) 3-5 (58%) or CPC 4-5 (39%) or other (3%). When prognosis was considered poor, 73% would actively withdraw intensive care while 20% would not and 7% were uncertain. National recommendations for neurological prognostication after cardiac arrest are uncommon and only one physician out of five uses a separate protocol for hypothermia treated patients. A neurological examination alone was considered insufficient to predict outcome in comatose patients and most respondents advocated a multimodal approach: EEG, brain CT and EP were considered most useful. Uncertainty regarding neurological prognostication and decisions on level of care was substantial. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  3. Resting-state qEEG predicts rate of second language learning in adults.

    Science.gov (United States)

    Prat, Chantel S; Yamasaki, Brianna L; Kluender, Reina A; Stocco, Andrea

    2016-01-01

    Understanding the neurobiological basis of individual differences in second language acquisition (SLA) is important for research on bilingualism, learning, and neural plasticity. The current study used quantitative electroencephalography (qEEG) to predict SLA in college-aged individuals. Baseline, eyes-closed resting-state qEEG was used to predict language learning rate during eight weeks of French exposure using an immersive, virtual scenario software. Individual qEEG indices predicted up to 60% of the variability in SLA, whereas behavioral indices of fluid intelligence, executive functioning, and working-memory capacity were not correlated with learning rate. Specifically, power in beta and low-gamma frequency ranges over right temporoparietal regions were strongly positively correlated with SLA. These results highlight the utility of resting-state EEG for studying the neurobiological basis of SLA in a relatively construct-free, paradigm-independent manner. Published by Elsevier Inc.

  4. Multiresolution Analysis of EEG Signals

    OpenAIRE

    Borowska Marta; Białobłocka Natalia

    2016-01-01

    This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components of signals with and without observed epileptic discharges were compared. The study showed that there were significant differences in dominant frequency between the signals with epileptic discharges and the signals without discharges. This gives the ability to identify epilepsy during EEG examination. The frequency of the signals coming from the frontal, central, parietal and occipital channels a...

  5. The neurology of proverbs.

    Science.gov (United States)

    Van Lancker, D

    1990-01-01

    Although proverb tests are commonly used in the mental status examination surprisingly little is known about either normal comprehension or the interpretation of proverbial expressions. Current proverbs tests have conceptual and linguistic shortcomings, and few studies have been done to investigate the specific effects of neurological and psychiatric disorders on the interpretation of proverbs. Although frontal lobes have traditionally been impugned in patients who are "concrete", recent studies targeting deficient comprehension of non literal language (e.g. proverbs, idioms, speech formulas, and indirect requests) point to an important role of the right hemisphere (RH). Research describing responses of psychiatrically and neurologically classified groups to tests of proverb and idiom usage is needed to clarify details of aberrant processing of nonliteral meanings. Meanwhile, the proverb test, drawing on diverse cognitive skills, is a nonspecific but sensitive probe of mental status.

  6. The Neurology of Proverbs

    Directory of Open Access Journals (Sweden)

    Diana Van Lancker

    1990-01-01

    Full Text Available Although proverb tests are commonly used in the mental status examination surprisingly little is known about either normal comprehension or the interpretation of proverbial expressions. Current proverbs tests have conceptual and linguistic shortcomings, and few studies have been done to investigate the specific effects of neurological and psychiatric disorders on the interpretation of proverbs. Although frontal lobes have traditionally been impugned in patients who are “concrete”, recent studies targeting deficient comprehension of non literal language (e.g. proverbs, idioms, speech formulas, and indirect requests point to an important role of the right hemisphere (RH. Research describing responses of psychiatrically and neurologically classified groups to tests of proverb and idiom usage is needed to clarify details of aberrant processing of nonliteral meanings. Meanwhile, the proverb test, drawing on diverse cognitive skills, is a nonspecific but sensitive probe of mental status.

  7. Vaccination and neurological disorders

    Directory of Open Access Journals (Sweden)

    Anastasia Gkampeta

    2015-12-01

    Full Text Available Active immunization of children has been proven very effective in elimination of life threatening complications of many infectious diseases in developed countries. However, as vaccination-preventable infectious diseases and their complications have become rare, the interest focuses on immunization-related adverse reactions. Unfortunately, fear of vaccination-related adverse effects can led to decreased vaccination coverage and subsequent epidemics of infectious diseases. This review includes reports about possible side effects following vaccinations in children with neurological disorders and also published recommendations about vaccinating children with neurological disorders. From all international published data anyone can conclude that vaccines are safer than ever before, but the challenge remains to convey this message to society.

  8. [Vitamin D and neurology].

    Science.gov (United States)

    Thouvenot, Éric; Camu, William

    2013-10-01

    Vitamin D deficiency is associated with a higher risk of multiple sclerosis and also with a higher relapse rate as well as a higher number of MRI lesions. Elders with vitamin D deficiency have worse cognitive performance. Vitamin D deficiency is a risk factor for developing Alzheimer's disease. Ischemic stroke are more frequent and more severe in patients with low vitamin D levels. Carotid atherosclerosis is more frequent and more severe in patients with vitamin D deficiency. Vitamin D deficiency is associated with a higher risk and worse prognosis of Parkinson's disease. In the different neurological disorders discussed herein, gene polymorphisms that could alter vitamin D metabolism are also associated with a higher incidence or a worse disease prognosis. Despite the links between vitamin D deficiency and the risks of developing neurological disorders, there is, to date, no proof that supplementation could alter the course of these diseases. Copyright © 2013. Published by Elsevier Masson SAS.

  9. Neurological legal disability

    Directory of Open Access Journals (Sweden)

    Radhakrishna H

    2006-01-01

    Full Text Available Neurological disorders with a prolonged course, either remediable or otherwise are being seen increasingly in clinical practice and many such patients are young and are part of some organization or other wherein their services are needed if they were healthy and fit. The neurologists who are on the panel of these organizations are asked to certify whether these subjects are fit to work or how long they should be given leave. These certificates may be produced in the court of law and may be subjected to verification by another neurologist or a medical board. At present there are no standard guidelines in our country to effect such certification unlike in orthopedic specialty or in ophthalmology. The following is a beginning, based on which the neurologist can certify the neurological disability of such subjects and convey the same meaning to all neurologists across the country.

  10. Neurological manifestations of children with systemic lupus erythematosus.

    Science.gov (United States)

    Loh, W F; Hussain, I M; Soffiah, A; Lim, Y N

    2000-12-01

    In a cross-sectional study of 21 children with Systemic Lupus Erythematosus, 15 (71%) were found to have neuropsychiatric manifestations. The most common finding was generalised seizures (42.8%) followed by encephalopathy (19%) and hallucinations (19%). One child (4.76%) had hemichorea. In 3 children neurological manifestations were the first symptom of SLE. Computerised Axial Tomograms (CAT scans) showed cerebral atrophy in 7 of 12 scans available for review. Ten children had abnormal EEGs. Although none of the children had clinical evidence of a peripheral neuropathy, 8 had neurophysiological evidence of a neuropathy. One child died of intracranial haemorrhage. Six children had residual neuropsychiatric sequalae.

  11. A statistically robust EEG re-referencing procedure to mitigate reference effect.

    Science.gov (United States)

    Lepage, Kyle Q; Kramer, Mark A; Chu, Catherine J

    2014-09-30

    The electroencephalogram (EEG) remains the primary tool for diagnosis of abnormal brain activity in clinical neurology and for in vivo recordings of human neurophysiology in neuroscience research. In EEG data acquisition, voltage is measured at positions on the scalp with respect to a reference electrode. When this reference electrode responds to electrical activity or artifact all electrodes are affected. Successful analysis of EEG data often involves re-referencing procedures that modify the recorded traces and seek to minimize the impact of reference electrode activity upon functions of the original EEG recordings. We provide a novel, statistically robust procedure that adapts a robust maximum-likelihood type estimator to the problem of reference estimation, reduces the influence of neural activity from the re-referencing operation, and maintains good performance in a wide variety of empirical scenarios. The performance of the proposed and existing re-referencing procedures are validated in simulation and with examples of EEG recordings. To facilitate this comparison, channel-to-channel correlations are investigated theoretically and in simulation. The proposed procedure avoids using data contaminated by neural signal and remains unbiased in recording scenarios where physical references, the common average reference (CAR) and the reference estimation standardization technique (REST) are not optimal. The proposed procedure is simple, fast, and avoids the potential for substantial bias when analyzing low-density EEG data. Copyright © 2014 Elsevier B.V. All rights reserved.

  12. Neural decoding of expressive human movement from scalp electroencephalography (EEG

    Directory of Open Access Journals (Sweden)

    Zachery Ryan Hernandez

    2014-04-01

    Full Text Available Although efforts to characterize human movement through EEG have revealed neural activities unique to limb control that can be used to infer movement kinematics, it is still unknown the extent to which EEG can be used to discern the expressive qualities that influence such movements. In this study we used EEG and inertial sensors to record brain activity and movement of five skilled and certified Laban Movement Analysis (LMA dancers. Each dancer performed whole body functional movements of three Action types: movements devoid of expressive qualities ('Neutral', non-expressive movements while thinking about specific expressive qualities ('Think’, and enacted expressive movements ('Do'. The expressive movement qualities that were used in the 'Think' and 'Do' actions consisted of a sequence of eight Laban Efforts as defined by LMA - a notation system and language for describing, visualizing, interpreting and documenting all varieties of human movement. We used delta band (0.2 – 4 Hz EEG as input to a machine learning algorithm that computed locality-preserving Fisher’s discriminant analysis (LFDA for dimensionality reduction followed by Gaussian mixture models (GMMs to decode the type of Action. We also trained our LFDA-GMM models to classify all the possible combinations of Action Type and Laban Effort (giving a total of 17 classes. Classification accuracy rates were 59.4 ± 0.6% for Action Type and 88.2 ± 0.7% for Laban Effort Type. Ancillary analyses of the potential relations between the EEG and movement kinematics of the dancer's body, indicated that motion-related artifacts did not significantly influence our classification results. In summary, this research demonstrates that EEG has valuable information about the expressive qualities of movement. These results may have applications for advancing the understanding of the neural basis of expressive movements and for the development of neuroprosthetics to restore movements.

  13. Neural decoding of expressive human movement from scalp electroencephalography (EEG)

    Science.gov (United States)

    Cruz-Garza, Jesus G.; Hernandez, Zachery R.; Nepaul, Sargoon; Bradley, Karen K.; Contreras-Vidal, Jose L.

    2014-01-01

    Although efforts to characterize human movement through electroencephalography (EEG) have revealed neural activities unique to limb control that can be used to infer movement kinematics, it is still unknown the extent to which EEG can be used to discern the expressive qualities that influence such movements. In this study we used EEG and inertial sensors to record brain activity and movement of five skilled and certified Laban Movement Analysis (LMA) dancers. Each dancer performed whole body movements of three Action types: movements devoid of expressive qualities (“Neutral”), non-expressive movements while thinking about specific expressive qualities (“Think”), and enacted expressive movements (“Do”). The expressive movement qualities that were used in the “Think” and “Do” actions consisted of a sequence of eight Laban Effort qualities as defined by LMA—a notation system and language for describing, visualizing, interpreting and documenting all varieties of human movement. We used delta band (0.2–4 Hz) EEG as input to a machine learning algorithm that computed locality-preserving Fisher's discriminant analysis (LFDA) for dimensionality reduction followed by Gaussian mixture models (GMMs) to decode the type of Action. We also trained our LFDA-GMM models to classify all the possible combinations of Action Type and Laban Effort quality (giving a total of 17 classes). Classification accuracy rates were 59.4 ± 0.6% for Action Type and 88.2 ± 0.7% for Laban Effort quality Type. Ancillary analyses of the potential relations between the EEG and movement kinematics of the dancer's body, indicated that motion-related artifacts did not significantly influence our classification results. In summary, this research demonstrates that EEG has valuable information about the expressive qualities of movement. These results may have applications for advancing the understanding of the neural basis of expressive movements and for the development of

  14. Neural decoding of expressive human movement from scalp electroencephalography (EEG).

    Science.gov (United States)

    Cruz-Garza, Jesus G; Hernandez, Zachery R; Nepaul, Sargoon; Bradley, Karen K; Contreras-Vidal, Jose L

    2014-01-01

    Although efforts to characterize human movement through electroencephalography (EEG) have revealed neural activities unique to limb control that can be used to infer movement kinematics, it is still unknown the extent to which EEG can be used to discern the expressive qualities that influence such movements. In this study we used EEG and inertial sensors to record brain activity and movement of five skilled and certified Laban Movement Analysis (LMA) dancers. Each dancer performed whole body movements of three Action types: movements devoid of expressive qualities ("Neutral"), non-expressive movements while thinking about specific expressive qualities ("Think"), and enacted expressive movements ("Do"). The expressive movement qualities that were used in the "Think" and "Do" actions consisted of a sequence of eight Laban Effort qualities as defined by LMA-a notation system and language for describing, visualizing, interpreting and documenting all varieties of human movement. We used delta band (0.2-4 Hz) EEG as input to a machine learning algorithm that computed locality-preserving Fisher's discriminant analysis (LFDA) for dimensionality reduction followed by Gaussian mixture models (GMMs) to decode the type of Action. We also trained our LFDA-GMM models to classify all the possible combinations of Action Type and Laban Effort quality (giving a total of 17 classes). Classification accuracy rates were 59.4 ± 0.6% for Action Type and 88.2 ± 0.7% for Laban Effort quality Type. Ancillary analyses of the potential relations between the EEG and movement kinematics of the dancer's body, indicated that motion-related artifacts did not significantly influence our classification results. In summary, this research demonstrates that EEG has valuable information about the expressive qualities of movement. These results may have applications for advancing the understanding of the neural basis of expressive movements and for the development of neuroprosthetics to restore

  15. Neurologic complications of alcoholism.

    Science.gov (United States)

    Noble, James M; Weimer, Louis H

    2014-06-01

    This review serves as an overview of neurologic conditions associated with alcohol abuse or withdrawal, including epidemiology, clinical symptoms, diagnostic approach, and treatment. Frequent alcohol abuse and frank alcoholism are very common among adults in the United States. Although rates decline with each decade, as many as 10% of the elderly drink excessively. Given the ubiquitous nature of alcoholism in society, its complications have been clinically recognized for generations, with recent advances focusing on improved understanding of ethanol's biochemical targets and the pathophysiology of its complications. The chronic effects of alcohol abuse are myriad and include neurologic complications through both direct and indirect effects on the central and peripheral nervous systems. These disorders include several encephalopathic states related to alcohol intoxication, withdrawal, and related nutritional deficiencies; acute and chronic toxic and nutritional peripheral neuropathies; and myopathy. Although prevention of alcoholism and its neurologic complications is the optimal strategy, this article reviews the specific treatment algorithms for alcohol withdrawal and its related nutritional deficiency states.

  16. Palliative care and neurology

    Science.gov (United States)

    Boersma, Isabel; Miyasaki, Janis; Kutner, Jean

    2014-01-01

    Palliative care is an approach to the care of patients and families facing progressive and chronic illnesses that focuses on the relief of suffering due to physical symptoms, psychosocial issues, and spiritual distress. As neurologists care for patients with chronic, progressive, life-limiting, and disabling conditions, it is important that they understand and learn to apply the principles of palliative medicine. In this article, we aim to provide a practical starting point in palliative medicine for neurologists by answering the following questions: (1) What is palliative care and what is hospice care? (2) What are the palliative care needs of neurology patients? (3) Do neurology patients have unique palliative care needs? and (4) How can palliative care be integrated into neurology practice? We cover several fundamental palliative care skills relevant to neurologists, including communication of bad news, symptom assessment and management, advance care planning, caregiver assessment, and appropriate referral to hospice and other palliative care services. We conclude by suggesting areas for future educational efforts and research. PMID:24991027

  17. Ballistocardiogram artifact removal with a reference layer and standard EEG cap.

    Science.gov (United States)

    Luo, Qingfei; Huang, Xiaoshan; Glover, Gary H

    2014-08-15

    In simultaneous EEG-fMRI, the EEG recordings are severely contaminated by ballistocardiogram (BCG) artifacts, which are caused by cardiac pulsations. To reconstruct and remove the BCG artifacts, one promising method is to measure the artifacts in the absence of EEG signal by placing a group of electrodes (BCG electrodes) on a conductive layer (reference layer) insulated from the scalp. However, current BCG reference layer (BRL) methods either use a customized EEG cap composed of electrode pairs, or need to construct the custom reference layer through additional model-building experiments for each EEG-fMRI experiment. These requirements have limited the versatility and efficiency of BRL. The aim of this study is to propose a more practical and efficient BRL method and compare its performance with the most popular BCG removal method, the optimal basis sets (OBS) algorithm. By designing the reference layer as a permanent and reusable cap, the new BRL method is able to be used with a standard EEG cap, and no extra experiments and preparations are needed to use the BRL in an EEG-fMRI experiment. The BRL method effectively removed the BCG artifacts from both oscillatory and evoked potential scalp recordings and recovered the EEG signal. Compared to the OBS, this new BRL method improved the contrast-to-noise ratios of the alpha-wave, visual, and auditory evoked potential signals by 101%, 76%, and 75%, respectively, employing 160 BCG electrodes. Using only 20 BCG electrodes, the BRL improved the EEG signal by 74%/26%/41%, respectively. The proposed method can substantially improve the EEG signal quality compared with traditional methods. Copyright © 2014 Elsevier B.V. All rights reserved.

  18. Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis.

    Science.gov (United States)

    Lerga, Jonatan; Saulig, Nicoletta; Mozetič, Vladimir

    2017-01-01

    Stochastic electroencephalogram (EEG) signals are known to be nonstationary and often multicomponential. Detecting and extracting their components may help clinicians to localize brain neurological dysfunctionalities for patients with motor control disorders due to the fact that movement-related cortical activities are reflected in spectral EEG changes. A new algorithm for EEG signal components detection from its time-frequency distribution (TFD) has been proposed in this paper. The algorithm utilizes the modification of the Rényi entropy-based technique for number of components estimation, called short-term Rényi entropy (STRE), and upgraded by an iterative algorithm which was shown to enhance existing approaches. Combined with instantaneous frequency (IF) estimation, the proposed method was applied to EEG signal analysis both in noise-free and noisy environments for limb movements EEG signals, and was shown to be an efficient technique providing spectral description of brain activities at each electrode location up to moderate additive noise levels. Furthermore, the obtained information concerning the number of EEG signal components and their IFs show potentials to enhance diagnostics and treatment of neurological disorders for patients with motor control illnesses. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. African Journal of Neurological Sciences

    African Journals Online (AJOL)

    African Journal of Neurological Sciences (AJNS) is owned and controlled by the Pan African Association of Neurological Sciences (PAANS). The AJNS's aim is to publish scientific papers of any aspects of Neurological Sciences. AJNS is published quarterly. Articles submitted exclusively to the AJNS are accepted if neither ...

  20. Neurology and literature 2.

    Science.gov (United States)

    Iniesta, I

    2014-05-01

    Good literary fiction has the potential to move us, extend our sense of life, transform our prospective views and help us in the face of adversity. A neurological disorder is likely to be the most challenging experience a human being may have to confront in a lifetime. As such, literary recreations of illnesses have a doubly powerful effect. Study the synergies between neurology and fictional literature with particular reference to narrative based medicine (NBM). Doctors establish boundaries between the normal and the abnormal. Taking a clinical history is an act of interpretation in which the doctor integrates the science of objective signs and measurable quantities with the art of subjective clinical judgment. The more discrepancy there is between the patient's experience with the illness and the doctor's interpretation of that disease, the less likely the doctor-patient interaction is to succeed. NBM contributes to a better discernment of the meanings, thus considering disease as a biographical event rather than just a natural fact. Drawing from their own experience with disease, writers of fiction provide universal insights through their narratives, whilst neuroscientists, like Cajal, have occasionally devoted their scientific knowledge to literary narratives. Furthermore, neurologists from Alzheimer to Oliver Sacks remind us of the essential value of NBM in the clinic. Integrating NBM (the narrative of patients) and the classic holistic approach to patients with our current paradigm of evidence based medicine represents a challenge as relevant to neurologists as keeping up with technological and scientific advances. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  1. Neurological Respiratory Failure

    Directory of Open Access Journals (Sweden)

    Mohan Rudrappa

    2018-01-01

    Full Text Available West Nile virus infection in humans is mostly asymptomatic. Less than 1% of neuro-invasive cases show a fatality rate of around 10%. Acute flaccid paralysis of respiratory muscles leading to respiratory failure is the most common cause of death. Although the peripheral nervous system can be involved, isolated phrenic nerve palsy leading to respiratory failure is rare and described in only two cases in the English literature. We present another case of neurological respiratory failure due to West Nile virus-induced phrenic nerve palsy. Our case reiterates the rare, but lethal, consequences of West Nile virus infection, and the increase of its awareness among physicians.

  2. Review of analytical instruments for EEG analysis

    OpenAIRE

    Agapov, S. N.; V. A. Bulanov; Zakharov, A. V.; Sergeeva, M. S.

    2016-01-01

    Since it was first used in 1926, EEG has been one of the most useful instruments of neuroscience. In order to start using EEG data we need not only EEG apparatus, but also some analytical tools and skills to understand what our data mean. This article describes several classical analytical tools and also new one which appeared only several years ago. We hope it will be useful for those researchers who have only started working in the field of cognitive EEG.

  3. Education Research: Neurology resident education

    Science.gov (United States)

    Mayans, David; Schneider, Logan; Adams, Nellie; Khawaja, Ayaz M.; Engstrom, John

    2016-01-01

    Objective: To survey US-trained graduating neurology residents who are American Academy of Neurology members, in an effort to trend perceived quality and completeness of graduate neurology education. Methods: An electronic survey was sent to all American Academy of Neurology members graduating from US neurology residency programs in the Spring of 2014. Results: Of 805 eligible respondents, 24% completed the survey. Ninety-three percent of adult neurology residents and 56% of child neurology residents reported plans to pursue fellowship training after residency. Respondents reported a desire for additional training in neurocritical care, neuro-oncology, neuromuscular diseases, botulinum toxin injection, and nerve blocks. There remains a clear deficit in business training of neurology residents, although there was notable improvement in knowledge of coding and office management compared to previous surveys. Discussion: Although there are still areas of perceived weakness in neurology training, graduating neurology residents feel generally well prepared for their chosen careers. However, most still pursue fellowship training for reasons that are little understood. In addition to certain subspecialties and procedures, practice management remains deficient in neurology training and is a point of future insecurity for most residents. Future curriculum changes should consider resident-reported gaps in knowledge, with careful consideration of improving business training. PMID:26976522

  4. Neurophysiological prediction of neurological good and poor outcome in post-anoxic coma.

    Science.gov (United States)

    Grippo, A; Carrai, R; Scarpino, M; Spalletti, M; Lanzo, G; Cossu, C; Peris, A; Valente, S; Amantini, A

    2017-06-01

    Investigation of the utility of association between electroencephalogram (EEG) and somatosensory-evoked potentials (SEPs) for the prediction of neurological outcome in comatose patients resuscitated after cardiac arrest (CA) treated with therapeutic hypothermia, according to different recording times after CA. Glasgow Coma Scale, EEG and SEPs performed at 12, 24 and 48-72 h after CA were assessed in 200 patients. Outcome was evaluated by Cerebral Performance Category 6 months after CA. Within 12 h after CA, grade 1 EEG predicted good outcome and bilaterally absent (BA) SEPs predicted poor outcome. Because grade 1 EEG and BA-SEPs were never found in the same patient, the recording of both EEG and SEPs allows us to correctly prognosticate a greater number of patients with respect to the use of a single test within 12 h after CA. At 48-72 h after CA, both grade 2 EEG and BA-SEPs predicted poor outcome with FPR=0.0%. When these neurophysiological patterns are both present in the same patient, they confirm and strengthen their prognostic value, but because they also occurred independently in eight patients, poor outcome is predictable in a greater number of patients. The combination of EEG/SEP findings allows prediction of good and poor outcome (within 12 h after CA) and of poor outcome (after 48-72 h). Recording of EEG and SEPs in the same patients allows always an increase in the number of cases correctly classified, and an increase of the reliability of prognostication in a single patient due to concordance of patterns. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  5. Statistical methods to estimate treatment effects from multichannel electroencephalography (EEG) data in clinical trials.

    Science.gov (United States)

    Ma, Junshui; Wang, Shubing; Raubertas, Richard; Svetnik, Vladimir

    2010-07-15

    With the increasing popularity of using electroencephalography (EEG) to reveal the treatment effect in drug development clinical trials, the vast volume and complex nature of EEG data compose an intriguing, but challenging, topic. In this paper the statistical analysis methods recommended by the EEG community, along with methods frequently used in the published literature, are first reviewed. A straightforward adjustment of the existing methods to handle multichannel EEG data is then introduced. In addition, based on the spatial smoothness property of EEG data, a new category of statistical methods is proposed. The new methods use a linear combination of low-degree spherical harmonic (SPHARM) basis functions to represent a spatially smoothed version of the EEG data on the scalp, which is close to a sphere in shape. In total, seven statistical methods, including both the existing and the newly proposed methods, are applied to two clinical datasets to compare their power to detect a drug effect. Contrary to the EEG community's recommendation, our results suggest that (1) the nonparametric method does not outperform its parametric counterpart; and (2) including baseline data in the analysis does not always improve the statistical power. In addition, our results recommend that (3) simple paired statistical tests should be avoided due to their poor power; and (4) the proposed spatially smoothed methods perform better than their unsmoothed versions. Copyright 2010 Elsevier B.V. All rights reserved.

  6. Advances in genetic diagnosis of neurological disorders.

    Science.gov (United States)

    Toft, M

    2014-01-01

    Neurogenetics has developed enormously in recent years, and the genetic basis of human disorders is being unravelled rapidly. Many neurological disorders are Mendelian disorders, caused by mutations in genes involved in normal function of the brain, spinal cord, peripheral nerves or muscles. Due to high costs and time-consuming procedures, genetic tests have normally been performed late in the diagnostic process, when clinical examination and other tests have indicated a specific gene as the likely disease cause. Many neurological phenotypes are genetically very heterogeneous, and testing of all possible disease genes has been impossible. As a result, many patients with genetic neurological disorders have remained without a specific diagnosis, even when the disease is caused by mutations in known disease genes. Recent technological advances, in particular next-generation DNA sequencing techniques, have resulted in rapid identification of genes involved in Mendelian disorders and provided new possibilities for diagnostic genetic testing. The development of methods for coupling targeted capture and massively parallel DNA sequencing has made it possible to examine a large number of genes in a single reaction. Diagnostic genetic testing can today be performed by the use of gene panels and exome sequencing. This allows a more precise diagnosis of many neurological disorders, and genetic testing should now be considered earlier in the diagnostic procedure. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  7. Engagement Assessment Using EEG Signals

    Science.gov (United States)

    Li, Feng; Li, Jiang; McKenzie, Frederic; Zhang, Guangfan; Wang, Wei; Pepe, Aaron; Xu, Roger; Schnell, Thomas; Anderson, Nick; Heitkamp, Dean

    2012-01-01

    In this paper, we present methods to analyze and improve an EEG-based engagement assessment approach, consisting of data preprocessing, feature extraction and engagement state classification. During data preprocessing, spikes, baseline drift and saturation caused by recording devices in EEG signals are identified and eliminated, and a wavelet based method is utilized to remove ocular and muscular artifacts in the EEG recordings. In feature extraction, power spectrum densities with 1 Hz bin are calculated as features, and these features are analyzed using the Fisher score and the one way ANOVA method. In the classification step, a committee classifier is trained based on the extracted features to assess engagement status. Finally, experiment results showed that there exist significant differences in the extracted features among different subjects, and we have implemented a feature normalization procedure to mitigate the differences and significantly improved the engagement assessment performance.

  8. A Distinguish Method of Epileptic EEG and Deglutition EEG Based on Chaotic Noise-Reduction

    Science.gov (United States)

    2001-10-25

    A DISTINGUISH METHOD OF EPILEPTIC EEG AND DEGLUTITION EEG BASED ON CHAOTIC NOISE-REDUCTION* Guanghua Ouyang, Chunyan Li, Guotai Jiang College of Life...EEG and deglutition EEG’s nonnoise trajectory and distinguishing these two waveforms is presented. The main aim of this paper is to introduce the...different parameters of dipole, a method of distinguishing epileptic EEG and deglutition EEG using the measurement of nonlinear dynamics is obtained. Key

  9. "COMPARATIVE EVALUATION OF EEGs WITH AND WITHOUT SLEEP DEPRIVATION IN DIAGNOSIS OF CHILDHOOD EPILEPSY "

    Directory of Open Access Journals (Sweden)

    Z. Keihani

    2005-05-01

    Full Text Available Seizure is the most common neurologic disorder in the pediatric age. Obtaining thorough history and performing complete examination as well as electroencephalography (EEG are very important in confirming the diagnosis and finding the cause. Epileptiform activity may be enhanced by activating procedures including sleep deprivation. In this study we performed short duration (up to 8 hours sleep deprivation in 139 children with history of seizure but with normal or non specific awake EEG. We obtained 70% abnormality, 54% of which was of classic pattern of absence (3 Hz spike and slow wave. Most abnormal EEGs belonged to children in the age range of 5-10 yrs. It seems that short duration sleep deprivation is as useful as long duration sleep deprivation.

  10. Neurological aspects of grief.

    Science.gov (United States)

    Silva, Adriana C; de Oliveira Ribeiro, Natalia P; de Mello Schier, Alexandre R; Arias-Carrión, Oscar; Paes, Flavia; Nardi, Antonio E; Machado, Sergio; Pessoa, Tamires M

    2014-01-01

    Despite grief being a universal experience and the increased scientific attention paid to grief and bereavement in recent years, studies that seek to better understand the role of the neurological aspects of grief are still scarce. We found 5 studies that discussed the relationship between the neurological aspects of grief due to the death of a loved one. All studies showed an activation of common areas, i.e., the anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), prefrontal cortex (PFC), insula and amygdala. These findings could indicate that there is a group of areas working together and responding to generate the symptomatology of grief. Because grief is a universal experience, it is essential that the necessary and effective support can be provided to those who experience the loss of someone considered important in their lives, and this requires understanding grief's manifestation, its differential diagnosis in reference to other clinical conditions, mainly psychiatric ones, and adequate forms of intervention and treatment when necessary. Proper understanding and support can help prevent the emergence of more serious health problems.

  11. Technical and clinical analysis of microEEG: a miniature wireless EEG device designed to record high-quality EEG in the emergency department

    OpenAIRE

    Omurtag, Ahmet; Baki, Samah G Abdel; Chari, Geetha; Cracco, Roger Q; Zehtabchi, Shahriar; Fenton, Andr? A; Grant, Arthur C.

    2012-01-01

    Background We describe and characterize the performance of microEEG compared to that of a commercially available and widely used clinical EEG machine. microEEG is a portable, battery-operated, wireless EEG device, developed by Bio-Signal Group to overcome the obstacles to routine use of EEG in emergency departments (EDs). Methods The microEEG was used to obtain EEGs from healthy volunteers in the EEG laboratory and ED. The standard system was used to obtain EEGs from healthy volunteers in the...

  12. Multiresolution Analysis of EEG Signals

    Directory of Open Access Journals (Sweden)

    Borowska Marta

    2016-12-01

    Full Text Available This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components of signals with and without observed epileptic discharges were compared. The study showed that there were significant differences in dominant frequency between the signals with epileptic discharges and the signals without discharges. This gives the ability to identify epilepsy during EEG examination. The frequency of the signals coming from the frontal, central, parietal and occipital channels are similar. Multiresolution analysis can be used to describe the activity of brain waves and to try to predict epileptic seizures, thereby contributing to precise medical diagnoses.

  13. EFFICACY OF ACTIVATION PROCEDURES TO ILLUSTRATE EEG CHANGES IN EPILEPSY

    Directory of Open Access Journals (Sweden)

    Rimpy Bhuyan

    2017-04-01

    Full Text Available BACKGROUND EEG or Electroencephalogram, which is the most important diagnostic procedure to evaluate Epilepsy patients, may sometimes fall short of accurate sensitivity and may require few Activation Procedures such as ‘Hyperventilation’ and ‘Sleep’ to bring out the active changes of an Epileptic brain. The present study was done with the aim of knowing the efficacy of such Activation Procedures like ‘Hyperventilation’ and ‘Sleep’ in illustrating the EEG wave pattern changes of an Epileptic brain during the interictal period. MATERIALS AND METHODS The present study was done in the Department of Physiology in association with the Department of Neurology, Assam Medical College & Hospital, Dibrugarh, Assam from June 2014 to May 2015. ‘113’ clinically diagnosed cases of Epilepsy were studied and analysed through Electroencephalogram using the internationally accepted 10-20 electrode placement method. Hyperventilation was used in 28 Epilepsy cases and Sleep was used in 14 Epilepsy cases. History & Physical examination findings were recorded in a Proforma. Chi-square analysis was done through GraphPad Prism 6 software to assess the significance of the activation procedures used. RESULTS Our study found that EEG of 42 cases out of the total 113 cases required Activation Procedures to elicit the wave pattern changes of the Epileptic brain. Hyperventilation was helpful in adult age group and sleep was useful in children age group. Hyperventilation had overall 53.57% sensitivity in detecting Epilepsy, and Sleep had 64.29% sensitivity in detecting Epilepsy. Hyperventilation was specifically helpful to elicit absence seizures where it had 75% sensitivity. CONCLUSION The sensitivity of EEG in detecting Epilepsy can thus be increased by using activation procedures like sleep & Hyperventilation to ensure that no epilepsy cases are missed out in diagnosis & treatment.

  14. Automatic epileptic seizure detection in EEGs using MF-DFA, SVM based on cloud computing.

    Science.gov (United States)

    Zhang, Zhongnan; Wen, Tingxi; Huang, Wei; Wang, Meihong; Li, Chunfeng

    2017-01-01

    Epilepsy is a chronic disease with transient brain dysfunction that results from the sudden abnormal discharge of neurons in the brain. Since electroencephalogram (EEG) is a harmless and noninvasive detection method, it plays an important role in the detection of neurological diseases. However, the process of analyzing EEG to detect neurological diseases is often difficult because the brain electrical signals are random, non-stationary and nonlinear. In order to overcome such difficulty, this study aims to develop a new computer-aided scheme for automatic epileptic seizure detection in EEGs based on multi-fractal detrended fluctuation analysis (MF-DFA) and support vector machine (SVM). New scheme first extracts features from EEG by MF-DFA during the first stage. Then, the scheme applies a genetic algorithm (GA) to calculate parameters used in SVM and classify the training data according to the selected features using SVM. Finally, the trained SVM classifier is exploited to detect neurological diseases. The algorithm utilizes MLlib from library of SPARK and runs on cloud platform. Applying to a public dataset for experiment, the study results show that the new feature extraction method and scheme can detect signals with less features and the accuracy of the classification reached up to 99%. MF-DFA is a promising approach to extract features for analyzing EEG, because of its simple algorithm procedure and less parameters. The features obtained by MF-DFA can represent samples as well as traditional wavelet transform and Lyapunov exponents. GA can always find useful parameters for SVM with enough execution time. The results illustrate that the classification model can achieve comparable accuracy, which means that it is effective in epileptic seizure detection.

  15. Design and validation of a wearable "DRL-less" EEG using a novel fully-reconfigurable architecture.

    Science.gov (United States)

    Mahajan, Ruhi; Morshed, Bashir I; Bidelman, Gavin M

    2016-08-01

    The conventional EEG system consists of a driven-right-leg (DRL) circuit, which prohibits modularization of the system. We propose a Lego-like connectable fully reconfigurable architecture of wearable EEG that can be easily customized and deployed at naturalistic settings for collecting neurological data. We have designed a novel Analog Front End (AFE) that eliminates the need for DRL while maintaining a comparable signal quality of EEG. We have prototyped this AFE for a single channel EEG, referred to as Smart Sensing Node (SSN), that senses brain signals and sends it to a Command Control Node (CCN) via an I2C bus. The AFE of each SSN (referential-montage) consists of an off-the-shelf instrumentation amplifier (gain=26), an active notch filter fc = 60Hz), 2nd-order active Butterworth low-pass filter followed by a passive low pass filter (fc = 47.5 Hz, gain = 1.61) and a passive high pass filter fc = 0.16 Hz, gain = 0.83). The filtered signals are digitized using a low-power microcontroller (MSP430F5528) with a 12-bit ADC at 512 sps, and transmitted to the CCN every 1 s at a bus rate of 100 kbps. The CCN can further transmit this data wirelessly using Bluetooth to the paired computer at a baud rate of 115.2 kbps. We have compared temporal and frequency-domain EEG signals of our system with a research-grade EEG. Results show that the proposed reconfigurable EEG captures comparable signals, and is thus promising for practical routine neurological monitoring in non-clinical settings where a flexible number of EEG channels are needed.

  16. A unified canonical correlation analysis-based framework for removing gradient artifact in concurrent EEG/fMRI recording and motion artifact in walking recording from EEG signal.

    Science.gov (United States)

    Li, Junhua; Chen, Yu; Taya, Fumihiko; Lim, Julian; Wong, Kianfoong; Sun, Yu; Bezerianos, Anastasios

    2017-09-01

    Artifacts cause distortion and fuzziness in electroencephalographic (EEG) signal and hamper EEG analysis, so it is necessary to remove them prior to the analysis. Particularly, artifact removal becomes a critical issue in experimental protocols with significant inherent recording noise, such as mobile EEG recordings and concurrent EEG-fMRI acquisitions. In this paper, we proposed a unified framework based on canonical correlation analysis for artifact removal. Raw signals were reorganized to construct a pair of matrices, based on which sources were sought through maximizing autocorrelation. Those sources related to artifacts were then removed by setting them as zeros, and the remaining sources were used to reconstruct artifact-free EEG. Both simulated and real recorded data were utilized to assess the proposed framework. Qualitative and quantitative results showed that the proposed framework was effective to remove artifacts from EEG signal. Specifically, the proposed method outperformed independent component analysis method for mitigating motion-related artifacts and had advantages for removing gradient artifact compared to the classical method (average artifacts subtraction) and the state-of-the-art method (optimal basis set) in terms of the combination of performance and computational complexity.

  17. Gluten sensitivity and neurological manifestations

    Directory of Open Access Journals (Sweden)

    Agostino Berio

    2015-12-01

    Full Text Available The authors report on six cases of gluten-sensitivity, also defined non-celiac gluten sensitivity, characterized by abdominal features (diarrhea, bloating, pain, genetic positivity for predisposition to celiac disease (DQB1* 02 in all cases; DQA1*05 in three; DQA1*02 in two, DQB1*03 in two, negative anti-t-Transglutaminase antibodies, normal mucosa on biopsy in four cases, type 1 of Marsh in one case. The subjects presented frequent central nervous system (CNS symptoms: headache in three patients, somnolence in one, electroencephalogram aspecific alterations in three (in two of them with previous seizures, leptomeningeal cyst in one, intracranial calcification in one, cerebral gliosis in two. After a gluten-free diet, all intestinal and clinical CNS features remitted, but re-appeared after gluten reintroduction. On the basis of the neurological signs, the authors stress the relevance of immune innate system in the pathogenesis of these cases with possible subsequent evolution on immune adaptive system involvement.

  18. Primary care perceptions of neurology and neurology services.

    Science.gov (United States)

    Loftus, Angela M; Wade, Carrie; McCarron, Mark O

    2016-06-01

    Neurophobia (fear of neural sciences) and evaluation of independent sector contracts in neurology have seldom been examined among general practitioners (GPs). A questionnaire determined GPs' perceptions of neurology compared with other medical specialties. GP experiences of neurology services with independent sector companies and the local National Health Service (NHS) were compared. Areas of potential improvement in NHS neurology services were recorded from thematic analyses. Among 76 GPs neurology was perceived to be as interesting as other medical specialties. GPs reported less knowledge, more difficulty and less confidence in neurology compared with other medical specialties. There was a preference for a local NHS neurology service (pneurology services provided better patient satisfaction. GPs prefer local NHS neurology services to independent sector contracts. GPs' evaluations should inform commissioning of neurology services. Combating neurophobia should be an integral part of responsive commissioning. 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. Consciousness: A Neurological Perspective

    Directory of Open Access Journals (Sweden)

    Andrea E. Cavanna

    2011-01-01

    Full Text Available Consciousness is a state so essentially entwined with human experience, yet so difficult to conceptually define and measure. In this article, we explore how a bidimensional model of consciousness involving both level of arousal and subjective awareness of the contents of consciousness can be used to differentiate a range of healthy and altered conscious states. These include the different sleep stages of healthy individuals and the altered states of consciousness associated with neurological conditions such as epilepsy, vegetative state and coma. In particular, we discuss how arousal and awareness are positively correlated in normal physiological states with the exception of REM sleep, while a disturbance in this relationship is characteristic of vegetative state, minimally conscious state, complex partial seizures and sleepwalking.

  20. Neurology and diving.

    Science.gov (United States)

    Massey, E Wayne; Moon, Richard E

    2014-01-01

    Diving exposes a person to the combined effects of increased ambient pressure and immersion. The reduction in pressure when surfacing can precipitate decompression sickness (DCS), caused by bubble formation within tissues due to inert gas supersaturation. Arterial gas embolism (AGE) can also occur due to pulmonary barotrauma as a result of breath holding during ascent or gas trapping due to disease, causing lung hyperexpansion, rupture and direct entry of alveolar gas into the blood. Bubble disease due to either DCS or AGE is collectively known as decompression illness. Tissue and intravascular bubbles can induce a cascade of events resulting in CNS injury. Manifestations of decompression illness can vary in severity, from mild (paresthesias, joint pains, fatigue) to severe (vertigo, hearing loss, paraplegia, quadriplegia). Particularly as these conditions are uncommon, early recognition is essential to provide appropriate management, consisting of first aid oxygen, targeted fluid resuscitation and hyperbaric oxygen, which is the definitive treatment. Less common neurologic conditions that do not require hyperbaric oxygen include rupture of a labyrinthine window due to inadequate equalization of middle ear pressure during descent, which can precipitate vertigo and hearing loss. Sinus and middle ear overpressurization during ascent can compress the trigeminal and facial nerves respectively, causing temporary facial hypesthesia and lower motor neuron facial weakness. Some conditions preclude safe diving, such as seizure disorders, since a convulsion underwater is likely to be fatal. Preventive measures to reduce neurologic complications of diving include exclusion of individuals with specific medical conditions and safe diving procedures, particularly related to descent and ascent. © 2014 Elsevier B.V. All rights reserved.

  1. Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

    OpenAIRE

    Zhang, Xiang; Yao, Lina; Zhang, Dalin; Wang, Xianzhi; Sheng, Quan Z.; Gu, Tao

    2017-01-01

    An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance control, and neurological disease diagnosis in smart home and smart healthcare domains. Existing techniques mostly focus on binary brain activity recognition for a single person, which limits their deployment in wider and complex practical scenarios. Therefore, multi-person and multi-class brain activity recognition h...

  2. A Hierarchical Bayesian M/EEG Imaging Method Correcting for Incomplete Spatio-Temporal Priors

    DEFF Research Database (Denmark)

    Stahlhut, Carsten; Attias, Hagai T.; Sekihara, Kensuke

    2013-01-01

    In this paper we present a hierarchical Bayesian model, to tackle the highly ill-posed problem that follows with MEG and EEG source imaging. Our model promotes spatiotemporal patterns through the use of both spatial and temporal basis functions. While in contrast to most previous spatio-temporal ......In this paper we present a hierarchical Bayesian model, to tackle the highly ill-posed problem that follows with MEG and EEG source imaging. Our model promotes spatiotemporal patterns through the use of both spatial and temporal basis functions. While in contrast to most previous spatio...

  3. History of neurologic examination books.

    Science.gov (United States)

    Boes, Christopher J

    2015-04-01

    The objective of this study was to create an annotated list of textbooks dedicated to teaching the neurologic examination. Monographs focused primarily on the complete neurologic examination published prior to 1960 were reviewed. This analysis was limited to books with the word "examination" in the title, with exceptions for the texts of Robert Wartenberg and Gordon Holmes. Ten manuals met the criteria. Works dedicated primarily to the neurologic examination without a major emphasis on disease description or treatment first appeared in the early 1900s. Georg Monrad-Krohn's "Blue Book of Neurology" ("Blue Bible") was the earliest success. These treatises served the important purpose of educating trainees on proper neurologic examination technique. They could make a reputation and be profitable for the author (Monrad-Krohn), highlight how neurology was practiced at individual institutions (McKendree, Denny-Brown, Holmes, DeJong, Mayo Clinic authors), and honor retiring mentors (Mayo Clinic authors).

  4. Artefact detection in neonatal EEG.

    Science.gov (United States)

    Stevenson, N J; O'Toole, J M; Korotchikova, I; Boylan, G B

    2014-01-01

    Artefact detection is an important component of any automated EEG analysis. It is of particular importance in analyses such as sleep state detection and EEG grading where there is no null state. We propose a general artefact detection system (GADS) based on the analysis of the neonatal EEG. This system aims to detect both major and minor artefacts (a distinction based primarily on amplitude). As a result, a two-stage system was constructed based on 14 features extracted from EEG epochs at multiple time scales: [2, 4, 16, 32]s. These features were combined in a support vector machine (SVM) in order to determine the presence of absence of artefact. The performance of the GADS was estimated using a leave-one-out cross-validation applied to a database of hour long recordings from 51 neonates. The median AUC was 1.00 (IQR: 0.95-1.00) for the detection of major artefacts and 0.89 (IQR: 0.83-0.95) for the detection of minor artefacts.

  5. EEG Findings in Burnout Patients

    NARCIS (Netherlands)

    Luijtelaar, E.L.J.M. van; Verbraak, M.J.P.M.; Bunt, P.M. van den; Keijsers, G.P.J.; Arns, M.W.

    2010-01-01

    The concept of burnout remains enigmatic since it is only determined by behavioral characteristics. Moreover, the differential diagnosis with depression and chronic fatigue syndrome is difficult. EEG-related variables in 13 patients diagnosed with burnout syndrome were compared with 13 healthy

  6. Prediction of subjective ratings of emotional pictures by EEG features

    Science.gov (United States)

    McFarland, Dennis J.; Parvaz, Muhammad A.; Sarnacki, William A.; Goldstein, Rita Z.; Wolpaw, Jonathan R.

    2017-02-01

    Objective. Emotion dysregulation is an important aspect of many psychiatric disorders. Brain-computer interface (BCI) technology could be a powerful new approach to facilitating therapeutic self-regulation of emotions. One possible BCI method would be to provide stimulus-specific feedback based on subject-specific electroencephalographic (EEG) responses to emotion-eliciting stimuli. Approach. To assess the feasibility of this approach, we studied the relationships between emotional valence/arousal and three EEG features: amplitude of alpha activity over frontal cortex; amplitude of theta activity over frontal midline cortex; and the late positive potential over central and posterior mid-line areas. For each feature, we evaluated its ability to predict emotional valence/arousal on both an individual and a group basis. Twenty healthy participants (9 men, 11 women; ages 22-68) rated each of 192 pictures from the IAPS collection in terms of valence and arousal twice (96 pictures on each of 4 d over 2 weeks). EEG was collected simultaneously and used to develop models based on canonical correlation to predict subject-specific single-trial ratings. Separate models were evaluated for the three EEG features: frontal alpha activity; frontal midline theta; and the late positive potential. In each case, these features were used to simultaneously predict both the normed ratings and the subject-specific ratings. Main results. Models using each of the three EEG features with data from individual subjects were generally successful at predicting subjective ratings on training data, but generalization to test data was less successful. Sparse models performed better than models without regularization. Significance. The results suggest that the frontal midline theta is a better candidate than frontal alpha activity or the late positive potential for use in a BCI-based paradigm designed to modify emotional reactions.

  7. Neurological sequelae of bacterial meningitis.

    Science.gov (United States)

    Lucas, Marjolein J; Brouwer, Matthijs C; van de Beek, Diederik

    2016-07-01

    We reported on occurrence and impact of neurological sequelae after bacterial meningitis. We reviewed occurrence of neurological sequelae in children and adults after pneumococcal and meningococcal meningitis. Most frequently reported sequelae are focal neurological deficits, hearing loss, cognitive impairment and epilepsy. Adults with pneumococcal meningitis have the highest risk of developing focal neurological deficits, which are most commonly caused by cerebral infarction, but can also be due to cerebritis, subdural empyema, cerebral abscess or intracerebral bleeding. Focal deficits may improve during clinical course and even after discharge, but a proportion of patients will have persisting focal neurological deficits that often interfere in patient's daily life. Hearing loss occurs in a high proportion of patients with pneumococcal meningitis and has been associated with co-existing otitis. Children and adults recovering from bacterial meningitis without apparent neurological deficits are at risk for long-term cognitive deficits. Early identification of neurological sequelae is important for children to prevent additional developmental delay, and for adults to achieve successful return in society after the disease. Neurological sequelae occur in a substantial amount of patients following bacterial meningitis. Most frequently reported sequelae are focal neurological deficits, hearing loss, cognitive impairment and epilepsy. Copyright © 2016 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

  8. Perioperative Management of Neurological Conditions

    Directory of Open Access Journals (Sweden)

    Manjeet Singh Dhallu

    2017-06-01

    Full Text Available Perioperative care of the patients with neurological diseases can be challenging. Most important consideration is the management and understanding of pathophysiology of these disorders and evaluation of new neurological changes that occur perioperatively. Perioperative generally refers to 3 phases of surgery: preoperative, intraoperative, and postoperative. We have tried to address few commonly encountered neurological conditions in clinical practice, such as delirium, stroke, epilepsy, myasthenia gravis, and Parkinson disease. In this article, we emphasize on early diagnosis and management strategies of neurological disorders in the perioperative period to minimize morbidity and mortality of patients.

  9. Splicing Regulation in Neurologic Disease

    National Research Council Canada - National Science Library

    Licatalosi, Donny D; Darnell, Robert B

    2006-01-01

    .... It is becoming evident that alternative splicing plays a particularly important role in neurologic disease, which is perhaps not surprising given the important role splicing plays in generating...

  10. Epileptic seizures, coma and EEG burst-suppression from suicidal bupropion intoxication.

    Science.gov (United States)

    Noda, Anna Hiro; Schu, Ulrich; Maier, Tanja; Knake, Susanne; Rosenow, Felix

    2017-03-01

    Bupropion, an amphetamine-like dual mechanism drug, is approved and increasingly used for the treatment of major depression, and its use is associated with a dose-dependent risk of epileptic seizures. Suicide attempts are frequent in major depression and often an overdose of the drugs available is ingested. Therefore, it is important to be aware of the clinical course, including EEG and neurological symptoms, as well as treatment and prognosis of bupropion intoxication. We report on the clinical and EEG course of a women who ingested 27 g of bupropion in a suicide attempt. Myoclonic seizures were followed by generalized tonic-clonic seizures and coma associated with EEG burst-suppression and brief tonic seizures. Active carbon and neuro-intensive care treatment, including respiratory support, were given. Within three days, the patient returned to a stable clinical condition with a mildly encephalopathic EEG. In conclusion, bupropion intoxication requires acute intensive care treatment and usually has a good prognosis, however, misinterpretation of the clinical and EEG presentation may lead to errors in management.

  11. Robot-Aided Upper-Limb Rehabilitation Based on Motor Imagery EEG

    Directory of Open Access Journals (Sweden)

    Baoguo Xu

    2011-09-01

    Full Text Available Stroke is a leading cause of disability worldwide. In this paper, a novel robot‐assisted rehabilitation system based on motor imagery electroencephalography (EEG is developed for regular training of neurological rehabilitation for upper limb stroke patients. Firstly, three‐dimensional animation was used to guide the patient image the upper limb movement and EEG signals were acquired by EEG amplifier. Secondly, eigenvectors were extracted by harmonic wavelet transform (HWT and linear discriminant analysis (LDA classifier was utilized to classify the pattern of the left and right upper limb motor imagery EEG signals. Finally, PC triggered the upper limb rehabilitation robot to perform motor therapy and gave the virtual feedback. Using this robot‐assisted upper limb rehabilitation system, the patientʹs EEG of upper limb movement imagination is translated to control rehabilitation robot directly. Consequently, the proposed rehabilitation system can fully explore the patientʹs motivation and attention and directly facilitate upper limb post‐stroke rehabilitation therapy. Experimental results on unimpaired participants were presented to demonstrate the feasibility of the rehabilitation system. Combining robot‐assisted training with motor imagery‐ based BCI will make future rehabilitation therapy more effective. Clinical testing is still required for further proving this assumption.

  12. Robot-Aided Upper-Limb Rehabilitation Based on Motor Imagery EEG

    Directory of Open Access Journals (Sweden)

    Baoguo Xu

    2011-09-01

    Full Text Available Stroke is a leading cause of disability worldwide. In this paper, a novel robot-assisted rehabilitation system based on motor imagery electroencephalography (EEG is developed for regular training of neurological rehabilitation for upper limb stroke patients. Firstly, three-dimensional animation was used to guide the patient image the upper limb movement and EEG signals were acquired by EEG amplifier. Secondly, eigenvectors were extracted by harmonic wavelet transform (HWT and linear discriminant analysis (LDA classifier was utilized to classify the pattern of the left and right upper limb motor imagery EEG signals. Finally, PC triggered the upper limb rehabilitation robot to perform motor therapy and gave the virtual feedback. Using this robot-assisted upper limb rehabilitation system, the patient's EEG of upper limb movement imagination is translated to control rehabilitation robot directly. Consequently, the proposed rehabilitation system can fully explore the patient's motivation and attention and directly facilitate upper limb post-stroke rehabilitation therapy. Experimental results on unimpaired participants were presented to demonstrate the feasibility of the rehabilitation system. Combining robot-assisted training with motor imagery-based BCI will make future rehabilitation therapy more effective. Clinical testing is still required for further proving this assumption.

  13. QUANTITATIVE EEG COMPARATIVE ANALYSIS BETWEEN AUTISM SPECTRUM DISORDER (ASD AND ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD

    Directory of Open Access Journals (Sweden)

    Plamen D. Dimitrov

    2017-01-01

    Full Text Available Background: Autism is a mental developmental disorder, manifested in the early childhood. Attention deficit hyperactivity disorder is another psychiatric condition of the neurodevelopmental type. Both disorders affect information processing in the nervous system, altering the mechanisms which control how neurons and their synapses are connected and organized. Purpose: To examine if quantitative EEG assessment is sensitive and simple enough to differentiate autism from attention deficit hyperactivity disorder and neurologically typical children. Material and methods: Quantitative EEG is a type of electrophysiological assessment that uses computerized mathematical analysis to convert the raw waveform data into different frequency ranges. Each frequency range is averaged across a sample of data and quantified into mean amplitude (voltage in microvolts mV. We performed quantitative EEG analysis and compared 4 cohorts of children (aged from 3 to 7 years: with autism (high [n=27] and low [n=52] functioning, with attention deficit hyperactivity disorder [n=34], and with typical behavior [n75]. Results: Our preliminary results show that there are significant qEEG differences between the groups of patients and the control cohort. The changes affect the potential levels of delta-, theta-, alpha-, and beta- frequency spectrums. Conclusion: The present study shows some significant quantitative EEG findings in autistic patients. This is a step forward in our efforts, aimed at defining specific neurophysiologic changes, in order to develop and refine strategies for early diagnosis of autism spectrum disorders, differentiation from other development conditions in childhood, detection of specific biomarkers and early initiation of treatment.

  14. Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition.

    Science.gov (United States)

    Pachori, Ram Bilas; Bajaj, Varun

    2011-12-01

    Epilepsy is one of the most common neurological disorders characterized by transient and unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is an invaluable measurement for the purpose of assessing brain activities, containing information relating to the different physiological states of the brain. It is a very effective tool for understanding the complex dynamical behavior of the brain. This paper presents the application of empirical mode decomposition (EMD) for analysis of EEG signals. The EMD decomposes a EEG signal into a finite set of bandlimited signals termed intrinsic mode functions (IMFs). The Hilbert transformation of IMFs provides analytic signal representation of IMFs. The area measured from the trace of the analytic IMFs, which have circular form in the complex plane, has been used as a feature in order to discriminate normal EEG signals from the epileptic seizure EEG signals. It has been shown that the area measure of the IMFs has given good discrimination performance. Simulation results illustrate the effectiveness of the proposed method. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  15. Removal of ocular artifacts from EEG using adaptive thresholding of wavelet coefficients

    Science.gov (United States)

    Krishnaveni, V.; Jayaraman, S.; Anitha, L.; Ramadoss, K.

    2006-12-01

    Electroencephalogram (EEG) gives researchers a non-invasive way to record cerebral activity. It is a valuable tool that helps clinicians to diagnose various neurological disorders and brain diseases. Blinking or moving the eyes produces large electrical potential around the eyes known as electrooculogram. It is a non-cortical activity which spreads across the scalp and contaminates the EEG recordings. These contaminating potentials are called ocular artifacts (OAs). Rejecting contaminated trials causes substantial data loss, and restricting eye movements/blinks limits the possible experimental designs and may affect the cognitive processes under investigation. In this paper, a nonlinear time-scale adaptive denoising system based on a wavelet shrinkage scheme has been used for removing OAs from EEG. The time-scale adaptive algorithm is based on Stein's unbiased risk estimate (SURE) and a soft-like thresholding function which searches for optimal thresholds using a gradient based adaptive algorithm is used. Denoising EEG with the proposed algorithm yields better results in terms of ocular artifact reduction and retention of background EEG activity compared to non-adaptive thresholding methods and the JADE algorithm.

  16. A DC attenuator allows common EEG equipment to record fullband EEG, and fits fullband EEG into standard European Data Format.

    Science.gov (United States)

    Kemp, Bob; van Beelen, Teunis; Stijl, Marion; van Someren, Paul; Roessen, Marco; van Dijk, J Gert

    2010-12-01

    Traditional electroencephalogram (EEG) recorders reject low frequencies and DC and therefore cannot handle fullband EEG. Dedicated fullband recorders use non-standard file formats, because the standard format (EDF) cannot handle large DC electrode offset voltages. Both facts limit the development and use of fullband EEG. We developed a modification that allows conventional equipment to record fullband EEG, and adapts both types of recorders to EDF. The modification is a simple filter that attenuates the DC component and thus makes the EEG fit within traditional equipment limitations and EDF. The review software automatically 'de-attenuates' the DC component, without loss of information. DC attenuation by a factor of 10 made both types of recorders store DC attenuated fullband EEG into EDF files. Recordings were made during 0.5-24h in 46 subjects. The DC de-attenuator automatically reconstructed the original fullband EEG within an amplitude range of ±100mV and with a resolution of 0.3μV. Using sintered Ag-AgCl electrodes attached with common procedures, reconstructed DC EEG in spontaneously moving subjects ranged between ±32mV. The modification works. Fullband recordings can now be analyzed by independent software, archived and exchanged. Any EEG system can be made to record fullband EEG into standard EDF. Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  17. Cannabinoids in neurology – Brazilian Academy of Neurology

    Directory of Open Access Journals (Sweden)

    Sonia M. D. Brucki

    2015-04-01

    Full Text Available The use of cannabidiol in some neurological conditions was allowed by Conselho Regional de Medicina de São Paulo and by Agência Nacional de Vigilância Sanitária (ANVISA. Specialists on behalf of Academia Brasileira de Neurologia prepared a critical statement about use of cannabidiol and other cannabis derivatives in neurological diseases.

  18. Generalized paroxysmal fast activity in EEG: An unrecognized finding in genetic generalized epilepsy.

    Science.gov (United States)

    Sagi, Vishwanath; Kim, Inyup; Bhatt, Amar B; Sonmezturk, Hasan; Abou-Khalil, Bassel W; Arain, Amir M

    2017-11-01

    To study generalized paroxysmal fast activity (GPFA) in patients with genetic generalized epilepsy (GGE). GPFA is an electroencephalographic (EEG) finding in patients with symptomatic generalized epilepsy consisting of 15-25Hz bifrontally predominant generalized fast activity seen predominantly in sleep. Historically GPFA is linked to epileptic encephalopathy with drug resistant epilepsy and intellectual disability. However, GPFA has been rarely described as an atypical finding in patients with GGE without negative prognostic implication. We report cognitive profile and seizure characteristics in seven patients with GGE and GPFA. The Vanderbilt EMU and EEG reports were searched for the keywords "idiopathic generalized epilepsy", "GPFA"and "generalized spike and wave discharges (GSWD)". We reviewed the EEG tracings and the electronic medical records of patients thus identified. The seizure type, frequency, neurological work-up, clinical profile and imaging data were recorded. Awake and sleep states were captured on EEGs of all patients. On EEG tracing review six patients were confirmed to have GSWD and GPFA; one patient had GPFA but no GSWD. All patients had normal cognitive function. Four had a normal brain MRI and one a normal head CT (two were never imaged). None of the patients had tonic seizures. The main seizure type was generalized tonic-clonic seizures (GTCS) in five patients, absence in two. Age at onset of epilepsy ranged from 4 to 24years. The mean GTC seizure frequency at the time of EEG was 3; two patients were seizure free on two antiepileptic drugs (AEDs). GPFA can be an unrecognized electrographic finding in patients with genetic generalized epilepsy. While GPFA remains an important diagnostic EEG feature for epileptic encephalopathy (Lennox-Gastaut syndrome) it is not specific for this diagnosis. Thus, GPFA may have a spectrum of variable phenotypic expression. The finding of GPFA is not necessarily indicative of unfavorable outcome. Copyright

  19. Intracranial video-EEG monitoring in presurgical evaluation of patients with refractory epilepsy.

    Science.gov (United States)

    Hupalo, Marlena; Wojcik, Rafal; Jaskolski, Dariusz J

    Reviewing our experience in intracranial video-EEG monitoring in the presurgical evaluation of patients with refractory epilepsy. We report on 62 out of 202 (31%) patients with refractory epilepsy, who underwent a long term video-EEG monitoring (LTM). The epileptogenic zone (EZ) was localised either based on the results of LTM or after intracranial EEG recordings from depth, subdural or foramen ovale electrodes. The decision on the location of the electrodes was based upon semiology of the seizures, EEG findings and the lesions visualised in MRI brain scan. Intraoperative corticography was carried out before and right after the resection of the seizure onset zone. The video-EEG monitoring could localise EZ in 43 (69%) cases based. The remaining patients underwent invasive diagnostics: 10 (53%) had intracerebral depth electrodes, 6 (31%) depth and subdural and 3 (16%) foramen ovale electrodes. Intracranial video EEG recordings showed seizure focus in all the patients. Ten of them had EZ in mesial temporal structures, 4 in accessory motor area, 3 at the base of the frontal lobe and 2 in parietal lobe. There was one case of an asymptomatic intracerebral haematoma at the electrode. All patients were subsequently operated on. In 15 (79%) cases the seizures subsided (follow-up from 2 to 5 years), in 4 (21%) they decreased. The intracranial EEG is required in all patients with normal MRI (so-called nonlesional cases) in whom EZ is suspected to be located in the hippocampus, insula or in the basal parts of the frontal lobe. Copyright © 2017 Polish Neurological Society. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

  20. 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.

  1. Research on the Characteristics of Alzheimer's Disease Using EEG

    Science.gov (United States)

    Ueda, Taishi; Musha, Toshimitsu; Yagi, Tohru

    In this paper, we proposed a new method for diagnosing Alzheimer's disease (AD) on the basis of electroencephalograms (EEG). The method, which is termed Power Variance Function (PVF) method, indicates the variance of the power at each frequency. By using the proposed method, the power of EEG at each frequency was calculated using Wavelet transform, and the corresponding variances were defined as PVF. After the PVF histogram of 55 healthy people was approximated as a Generalized Extreme Value (GEV) distribution, we evaluated the PVF of 22 patients with AD and 25 patients with mild cognitive impairment (MCI). As a result, the values for all AD and MCI subjects were abnormal. In particular, the PVF in the θ band for MCI patients was abnormally high, and the PVF in the α band for AD patients was low.

  2. Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data.

    Science.gov (United States)

    Khatun, Saleha; Mahajan, Ruhi; Morshed, Bashir I

    2016-01-01

    Electroencephalogram (EEG) is a technique for recording the asynchronous activation of neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye blink activities, can corrupt these neuronal signals. While ocular artifact (OA) removal is well investigated for multiple channel EEG systems, in alignment with the recent momentum toward minimalistic EEG systems for use in natural environments, we investigate unsupervised and effective removal of OA from single-channel streaming raw EEG data. In this paper, the unsupervised wavelet transform (WT) decomposition technique was systematically evaluated for the effectiveness of OA removal for a single-channel EEG system. A set of seven raw EEG data set was analyzed. Two commonly used WT methods, Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT), were applied. Four WT basis functions, namely, haar, coif3, sym3, and bior4.4, were considered for OA removal with universal threshold and statistical threshold (ST). To quantify OA removal efficacy from single-channel EEG, five performance metrics were utilized: correlation coefficients, mutual information, signal-to-artifact ratio, normalized mean square error, and time-frequency analysis. The temporal and spectral analysis shows that the optimal combination could be DWT with ST with coif3 or bior4.4 to remove OA among 16 combinations. This paper demonstrates that the WT can be an effective tool for unsupervised OA removal from single-channel EEG data for real-time applications.

  3. EEG use in a tertiary referral centre.

    LENUS (Irish Health Repository)

    O'Toole, O

    2011-11-15

    The aim of this study was to retrospectively audit all electroencephalograms (EEGs) done over a 2-month period in 2009 by the Neurophysiology Department at Cork University Hospital. There were 316 EEGs performed in total, of which 176\\/316 (56%) were done within 24 hours of request. Out of 316 EEGs, 208 (66%) were considered \\'appropriate\\' by SIGN and NICE guidelines; 79\\/208 (38%) had abnormal EEGs and 28 of these abnormal EEGs had epileptiform features. There were 108\\/316 (34%) \\'inappropriate\\' requests for EEG; of these 15\\/108 (14%) were abnormal. Of the 67\\/316 (21%) patients who had EEGs requested based on a history of syncope\\/funny turns: none of these patients had epileptiform abnormalities on their EEGs. Our audit demonstrates that EEGs are inappropriately over-requested in our institution in particular for cases with reported \\'funny turns\\' and syncope. The yield from EEGs in this cohort of patients was low as would be expected.

  4. [Neurological interpretation of dreams] .

    Science.gov (United States)

    Pareja, J A; Gil-Nagel, A

    2000-10-01

    Cerebral cortical activity is constant throughout the entire human life, but substantially changes during the different phases of the sleep-wake cycle (wakefulness, non-REM sleep and REM sleep), as well as in relation to available information. In particular, perception of the environment is closely linked to the wake-state, while during sleep perception turns to the internal domain or endogenous cerebral activity. External and internal information are mutually exclusive. During wakefulness a neuronal mechanism allows attention to focus on the environment whereas endogenous cortical activity is ignored. The opposite process is provided during sleep. The function external attention-internal attention is coupled with the two modes of brain function during wakefulness and during sleep, providing two possible cortical status: thinking and dreaming. Several neurological processes may influence the declaration of the three states of being or may modify their orderly oscillation through the sleep-wake cycle. In addition, endogenous information and its perception (dreams) may be modified. Disturbances of dreaming may configurate in different general clinical scenarios: lack of dreaming, excess of dreaming (epic dreaming), paroxysmal dreaming (epileptic), nightmares, violent dreaming, daytime-dreaming (hallucinations), and lucid dreaming. Sensorial deprivation, as well as the emergence of internal perception may be the underlying mechanism of hallucinations. The probable isomorphism between hallucinations and dreaming is postulated, analyzed and discussed.

  5. A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation.

    Science.gov (United States)

    Schellenberger Costa, Michael; Weigenand, Arne; Ngo, Hong-Viet V; Marshall, Lisa; Born, Jan; Martinetz, Thomas; Claussen, Jens Christian

    2016-09-01

    Few models exist that accurately reproduce the complex rhythms of the thalamocortical system that are apparent in measured scalp EEG and at the same time, are suitable for large-scale simulations of brain activity. Here, we present a neural mass model of the thalamocortical system during natural non-REM sleep, which is able to generate fast sleep spindles (12-15 Hz), slow oscillations (EEG-data from a recent sleep study in humans, where closed-loop auditory stimulation was applied. The model output relates directly to the EEG, which makes it a useful basis to develop new stimulation protocols.

  6. Interventional neurology: a reborn subspecialty.

    Science.gov (United States)

    Edgell, Randall C; Alshekhlee, Amer; Yavagal, Dileep R; Vora, Nirav; Cruz-Flores, Salvador

    2012-10-01

    Neurologists have a long history of involvement in cerebral angiography; however, the roots of neurologist involvement in therapeutic endovascular procedures have not been previously documented. As outlined in this article, it has taken the efforts of several early pioneers to lay the ground work for interventional neurology, a specialty that has become one of the fastest growing neurological subspecialties. The ground work, along with a great clinical need, has allowed the modern interventional neurologist to tackle some of the most intractable diseases, especially those affecting the cerebral vasculature. The institutionalization of interventional neurology as a subspecialty was first advocated in 1995 in an article entitled, "Interventional Neurology, a subspecialty whose time has come." The institutions created in the wake of this article have provided the framework that has allowed interventional neurology to transition from "a subspecialty whose time has come" to a subspecialty that is here to stay and thrive. Copyright © 2010 by the American Society of Neuroimaging.

  7. [Neurological disease and facial recognition].

    Science.gov (United States)

    Kawamura, Mitsuru; Sugimoto, Azusa; Kobayakawa, Mutsutaka; Tsuruya, Natsuko

    2012-07-01

    To discuss the neurological basis of facial recognition, we present our case reports of impaired recognition and a review of previous literature. First, we present a case of infarction and discuss prosopagnosia, which has had a large impact on face recognition research. From a study of patient symptoms, we assume that prosopagnosia may be caused by unilateral right occipitotemporal lesion and right cerebral dominance of facial recognition. Further, circumscribed lesion and degenerative disease may also cause progressive prosopagnosia. Apperceptive prosopagnosia is observed in patients with posterior cortical atrophy (PCA), pathologically considered as Alzheimer's disease, and associative prosopagnosia in frontotemporal lobar degeneration (FTLD). Second, we discuss face recognition as part of communication. Patients with Parkinson disease show social cognitive impairments, such as difficulty in facial expression recognition and deficits in theory of mind as detected by the reading the mind in the eyes test. Pathological and functional imaging studies indicate that social cognitive impairment in Parkinson disease is possibly related to damages in the amygdalae and surrounding limbic system. The social cognitive deficits can be observed in the early stages of Parkinson disease, and even in the prodromal stage, for example, patients with rapid eye movement (REM) sleep behavior disorder (RBD) show impairment in facial expression recognition. Further, patients with myotonic dystrophy type 1 (DM 1), which is a multisystem disease that mainly affects the muscles, show social cognitive impairment similar to that of Parkinson disease. Our previous study showed that facial expression recognition impairment of DM 1 patients is associated with lesion in the amygdalae and insulae. Our study results indicate that behaviors and personality traits in DM 1 patients, which are revealed by social cognitive impairment, are attributable to dysfunction of the limbic system.

  8. [The Effect of Cortical Spreading Depression Wave on EEG Spectral Power Anaesthesed and Conscious Rats].

    Science.gov (United States)

    Koroleva, V I; Sakharov, D S; Bogdanov, A V

    2016-01-01

    EEG power changes in anaesthetized and conscious rats were studied (under repeated experiments) in wide frequency band (0.1-200 Hz) during cortical spreading depression wave (SD). In anaesthetized rats the decrease of EEG spectral power was shown through all diapasons under consideration. The most pronounced decay of the EEG power was marked in the 30-40 Hz band (27.3 ± 18.5, p = 2.46 x 10-(11)). In other frequency ranges the power decrease was less but its significance remained high. In conscious rats the simultaneous decay of the EEG power from 20 to 100 Hz range was also the most informative index of SD wave. The maximum power loss was found for band 30-40 Hz (11.2 ± 7.8, p = 2.55 x 10(-7)). It was shown that besides of EEG power decay the development of SD wave was characterized by the appearance of high frequency activity in front of SD and at the end of it. The increase of high-frequency activity in front of SD wave appeared in the ipsilateral hemisphere and moved along the cortex with the velocity of the SD wave itself. However the bursts of high frequency activity at the end of unilateral SD occurred simultaneously in both hemispheres and lasted 1.5-2.5 min. Findings contribute to detection of SD wave on basis of EEG spectral analysis.

  9. Resting state cortical rhythms in athletes: a high-resolution EEG study.

    Science.gov (United States)

    Babiloni, Claudio; Marzano, Nicola; Iacoboni, Marco; Infarinato, Francesco; Aschieri, Pierluigi; Buffo, Paola; Cibelli, Giuseppe; Soricelli, Andrea; Eusebi, Fabrizio; Del Percio, Claudio

    2010-01-15

    The present electroencephalographic (EEG) study tested the working hypothesis that the amplitude of resting state cortical EEG rhythms (especially alpha, 8-12 Hz) was higher in elite athletes compared with amateur athletes and non-athletes, as a reflection of the efficiency of underlying back-ground neural synchronization mechanisms. Eyes closed resting state EEG data were recorded in 16 elite karate athletes, 20 amateur karate athletes, and 25 non-athletes. The EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography (LORETA). Statistical results showed that the amplitude of parietal and occipital alpha 1 sources was significantly higher in the elite karate athletes than in the non-athletes and karate amateur athletes. Similar results were observed in parietal and occipital delta sources as well as in occipital theta sources. Finally, a control confirmatory experiment showed that the amplitude of parietal and occipital delta and alpha 1 sources was stronger in 8 elite rhythmic gymnasts compared with 14 non-athletes. These results supported the hypothesis that cortical neural synchronization at the basis of eyes-closed resting state EEG rhythms is enhanced in elite athletes than in control subjects.

  10. Acquisition technology research of EEG and related physiological signals under +Gz acceleration.

    Science.gov (United States)

    Li, Y; Zhang, T; Deng, L; Wang, B

    2014-06-01

    With the continuous improvement of maneuvering performance of modern high-performance aircraft, the protection problem of flight personnel under high G acceleration, the development as well as research on monitoring system and the equipment for human physiological signals processing which include electroencephalogram (EEG) have become more and more important. Due to the particularity of +Gz experimental conditions, the high-risk of human experiments and the great difficulty of dynamic measurement, there is little research on the synchronous acquisition technology of EEG and related physiological signals under +Gz acceleration environment. We propose a framework to execute human experiments using the three-axial high-performance human centrifuge, develop reasonable operation mode and design a new experimental research method for EEG signal acquisition and variation characteristics on three-axial high-performance human centrifuge under the environment of +Gz acceleration. We also propose to build the synchronous real-time acquisition plan of EEG, electrocardiogram, brain blood pressure, ear pulse and related physiological signals under centrifuge +Gz acceleration with different equipments and methods. The good profiles of EEG, heart rate, brain blood pressure and ear pulse are obtained and analyzed comparatively. In addition, the FMS hop-by-hop continuous blood pressure and hemodynamic measurement system Portapres are successfully applied to the ambulatory blood pressure measure under centrifuge +Gz acceleration environment. The proposed methods establish the basis and have an important guiding significance for follow-up experiment development, EEG features spectral analysis and correlation research of all signals.

  11. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis

    Directory of Open Access Journals (Sweden)

    Balbir Singh

    2017-01-01

    Full Text Available EEG signals contain a large amount of ocular artifacts with different time-frequency properties mixing together in EEGs of interest. The artifact removal has been substantially dealt with by existing decomposition methods known as PCA and ICA based on the orthogonality of signal vectors or statistical independence of signal components. We focused on the signal morphology and proposed a systematic decomposition method to identify the type of signal components on the basis of sparsity in the time-frequency domain based on Morphological Component Analysis (MCA, which provides a way of reconstruction that guarantees accuracy in reconstruction by using multiple bases in accordance with the concept of “dictionary.” MCA was applied to decompose the real EEG signal and clarified the best combination of dictionaries for this purpose. In our proposed semirealistic biological signal analysis with iEEGs recorded from the brain intracranially, those signals were successfully decomposed into original types by a linear expansion of waveforms, such as redundant transforms: UDWT, DCT, LDCT, DST, and DIRAC. Our result demonstrated that the most suitable combination for EEG data analysis was UDWT, DST, and DIRAC to represent the baseline envelope, multifrequency wave-forms, and spiking activities individually as representative types of EEG morphologies.

  12. [The comparison of the extraction of beta wave from EEG between FFT and wavelet transform].

    Science.gov (United States)

    Wang, Haowen; Qian, Zhiyu; Li, Hongjing; Chen, Chunxiao; Ding, Shangwen

    2013-08-01

    In order to choose a fast and efficient real-time method in beta wave information extraction, we compared the result and the efficiency of the information separation of both fast Fourier transform (FFT) and wavelet transform of EEG beta band in the present paper. Our work provides the basis for the EEG data come from the real-time health assessment of 3DTV. We took the EEGs of 5 healthy volunteers before, after and during the process of watching 3DTV and meanwhile recorded the results. The trends of the relative energy and the time cost of two methods were compared by using both the FFT and wavelet packet transform (WPT) which was to extract the feature of EEG beta wave. It demonstrated that (1) Results of the two methods were consistent in the trends of watching 3DTV; (2) Results of the differences in two methods were consistent before and after watching 3DTV; (3) FFT took less time than the wavelet transform in the same case. It is concluded that the results of both FFT and Wavelet transform are consistent in feature extraction of EEG, and a fast method to work with the large quantities of EEG data obtained in the experiments can be offered in the future.

  13. [Charles Miller Fisher: the grandmaster of neurological observation].

    Science.gov (United States)

    Fukutake, Toshio

    2014-11-01

    Charles Miller Fisher is widely regarded as the father of modern stroke neurology. He discovered almost all pathomechanisms of cerebral infarction, including embolism from atrial fibrillation, carotid artery disease, and lacunar infarcts and their syndromes, by the most meticulous clinico-pathological observations. Moreover, his work provided the basis for treatments such as anticoagulation, antiplatelet therapy, and carotid endarterectomy. He also contributed greatly to several topics of General Neurology; for example, migraine, normal pressure hydrocephalus, and Miller Fisher syndrome. In his late years, he tried to expand the neurological field to the more complex disorders of human behavior, including hysteria, dementia, and ill-defined pain syndromes. He thus became known as the grandmaster of refined neurological observation. His lifelong detailed studies were crucially important in helping neurologists all over the world recognize disorders and syndromes that had not previously been understood.

  14. Medicare payments to the neurology workforce in 2012.

    Science.gov (United States)

    Skolarus, Lesli E; Burke, James F; Callaghan, Brian C; Becker, Amanda; Kerber, Kevin A

    2015-04-28

    Little is known about how neurology payments vary by service type (i.e., evaluation and management [E/M] vs tests/treatments) and compare to other specialties, yet this information is necessary to help neurology define its position on proposed payment reform. Medicare Provider Utilization and Payment Data from 2012 were used. These data included all direct payments to providers who care for fee-for-service Medicare recipients. Total payment was determined by medical specialty and for various services (e.g., E/M, EEG, electromyography/nerve conduction studies, polysomnography) within neurology. Payment and proportion of services were then calculated across neurologists' payment categories. Neurologists comprised 1.5% (12,317) of individual providers who received Medicare payments and were paid $1.15 billion by Medicare in 2012. Sixty percent ($686 million) of the Medicare payment to neurologists was for E/M, which was a lower proportion than primary providers (approximately 85%) and higher than surgical subspecialties (range 9%-51%). The median neurologist received nearly 75% of their payments from E/M. Two-thirds of neurologists received 60% or more of their payment from E/M services and over 20% received all of their payment from E/M services. Neurologists in the highest payment category performed more services, of which a lower proportion were E/M, and performed at a facility, compared to neurologists in lower payment categories. E/M is the dominant source of payment to the majority of neurologists and should be prioritized by neurology in payment restructuring efforts. © 2015 American Academy of Neurology.

  15. Continuous EEG Monitoring in Aneurysmal Subarachnoid Hemorrhage

    DEFF Research Database (Denmark)

    Kondziella, Daniel; Friberg, Christian Kærsmose; Wellwood, Ian

    2015-01-01

    BACKGROUND: Continuous EEG (cEEG) may allow monitoring of patients with aneurysmal subarachnoid hemorrhage (SAH) for delayed cerebral ischemia (DCI) and seizures, including non-convulsive seizures (NCSz), and non-convulsive status epilepticus (NCSE). We aimed to evaluate: (a) the diagnostic...... accuracy of cEEG as a confirmatory test, (b) the prognostic value of EEG patterns suggestive of seizures and DCI, and (c) the effectiveness of intensified neuromonitoring using cEEG in terms of improved clinical outcome following SAH. METHODS: A systematic review was performed with eligible studies...... selected from multiple indexing databases through June 2014. The methodological quality of these studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. RESULTS: Eighteen studies were identified, including cEEG data from 481 patients with aneurysmal SAH. NCSz were diagnosed in 7...

  16. Use of EEG to Diagnose ADHD

    Science.gov (United States)

    Lenartowicz, Agatha; Loo, Sandra K.

    2015-01-01

    Electroencephalography (EEG) has, historically, played a focal role in the assessment of neural function in children with attention deficit hyperactivity disorder (ADHD). We review here the most recent developments in the utility of EEG in the diagnosis of ADHD, with emphasis on the most commonly used and emerging EEG metrics and their reliability in diagnostic classification. Considering the clinical heterogeneity of ADHD and the complexity of information available from the EEG signals, we suggest that considerable benefits are to be gained from multivariate analyses and a focus towards understanding of the neural generators of EEG. We conclude that while EEG cannot currently be used as a diagnostic tool, vast developments in analytical and technological tools in its domain anticipate future progress in its utility in the clinical setting. PMID:25234074

  17. Use of EEG to diagnose ADHD.

    Science.gov (United States)

    Lenartowicz, Agatha; Loo, Sandra K

    2014-11-01

    Electroencephalography (EEG) has, historically, played a focal role in the assessment of neural function in children with attention deficit hyperactivity disorder (ADHD). We review here the most recent developments in the utility of EEG in the diagnosis of ADHD, with emphasis on the most commonly used and emerging EEG metrics and their reliability in diagnostic classification. Considering the clinical heterogeneity of ADHD and the complexity of information available from the EEG signals, we suggest that considerable benefits are to be gained from multivariate analyses and a focus towards understanding of the neural generators of EEG. We conclude that while EEG cannot currently be used as a diagnostic tool, vast developments in analytical and technological tools in its domain anticipate future progress in its utility in the clinical setting.

  18. Ictal EEG patterns in band heterotopia.

    Science.gov (United States)

    Grant, Arthur C; Rho, Jong M

    2002-04-01

    Band heterotopia (BH) or "double cortex" syndrome is a neuronal migration disorder resulting in a diffuse band of subcortical grey matter and variable abnormality of the overlying cortex. Patients with BH have a spectrum of psychomotor delay and seizures. Associated epileptic syndromes and interictal EEG findings have been described, but ictal EEG patterns are lacking. We describe the clinical, interictal, and ictal EEG findings in two girls with BH and intractable seizures. Ictal EEG patterns correlated well with clinical seizure types, and did not have features unique to BH. Similarly, seizure behaviors and interictal EEG findings were typical of those seen in symptomatic generalized epilepsies. Despite evidence implicating the ectopic grey matter in seizure discharges, we conclude that seizure semiology and associated ictal EEG patterns in BH are no different from those seen in other causes of symptomatic generalized epilepsies.

  19. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI.

    Science.gov (United States)

    Steyrl, David; Krausz, Gunther; Koschutnig, Karl; Edlinger, Günter; Müller-Putz, Gernot R

    2017-04-01

    Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) combines advantages of both methods, namely high temporal resolution of EEG and high spatial resolution of fMRI. However, EEG quality is limited due to severe artifacts caused by fMRI scanners. To improve EEG data quality substantially, we introduce methods that use a reusable reference layer EEG cap prototype in combination with adaptive filtering. The first method, reference layer adaptive filtering (RLAF), uses adaptive filtering with reference layer artifact data to optimize artifact subtraction from EEG. In the second method, multi band reference layer adaptive filtering (MBRLAF), adaptive filtering is performed on bandwidth limited sub-bands of the EEG and the reference channels. The results suggests that RLAF outperforms the baseline method, average artifact subtraction, in all settings and also its direct predecessor, reference layer artifact subtraction (RLAS), in lower (EEG frequency ranges. Effectivity is determined by visual inspection, as well as root-mean-square voltage reduction and power reduction of EEG provided that physiological EEG components such as occipital EEG alpha power and visual evoked potentials (VEP) are preserved. We demonstrate that both, RLAF and MBRLAF, improve VEP quality. For that, we calculate the mean-squared-distance of single trial VEP to the mean VEP and estimate single trial VEP classification accuracies. We found that the average mean-squared-distance is lowest and the average classification accuracy is highest after MBLAF. RLAF was second best. In conclusion, the results suggests that RLAF and MBRLAF are potentially very effective in improving EEG quality of simultaneous EEG-fMRI. Highlights We present a new and reusable reference layer cap prototype for simultaneous EEG-fMRI We introduce new algorithms for reducing EEG artifacts due to simultaneous fMRI The algorithms combine a reference layer and adaptive filtering Several

  20. Simultaneous trimodal MR-PET-EEG imaging for the investigation of resting state networks in humans

    Energy Technology Data Exchange (ETDEWEB)

    Neuner, Irene [RWTH Aachen (Germany); Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH (Germany); Mauler, Joerg; Arrubla, Jorge; Kops, Elena Rota; Tellmann, Lutz; Scheins, Jurgen; Herzog, Hans [Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH (Germany); Langen, Karl Josef; Shah, Jon [RWTH Aachen (Germany)

    2015-05-18

    Glucose is the principal source of energy for the brain and its relationship to neuronal activity are poorly understood. The human brain uses 80% of its energy for ongoing neural activity that occurs in isolation from any particular stimulus. A promising tool for the investigation of glucose metabolism and its relationship to neuronal activity is simultaneous trimodal MR-PET-EEG data imaging. We here demonstrate the first in vivo human trimodal data at 3T. In one session MR, FDG-PET and EEG data were recorded simultaneously at a 3T hybrid MR-BrainPET scanner (Siemens, Germany) equipped with a 32 channel MR-compatible EEG system (Brain Products, Germany) in 11 healthy volunteers (11 males, mean age: 25.2 years SD: 1.2). MR and EEG data acquisition MP-RAGE (TR = 2250 ms, TE= 3.03 ms, 176 sagittal slices. 1 mm, GRAPPA factor 2. MR-based attenuation correction of PET data via UTE: flip angle=15. Two different echo times TE1=0.07 and TE2=2.46 ms, TR=200 ms. EPI sequence (TR: 2.2 s, TE: 30 ms, FOV: 200 mm, 165 volumes, The subjects were requested to close their eyes and relax EEG data were recorded using a 32-channel MR compatible EEG system. App. 200 MBq/μmol FDG were injected, data were acquired in list mode and iteratively reconstructed with all necessary corrections into 153 slices with 256 x 256 voxels sized 1.25 mm{sup 3}. The trimodal approach, recording PET data, MR data and EEG data simultaneously was successful. The high neuronal activity of the structures within the default mode network occurs on the basis of a high glucose consumption rate within the default node network. The activity of the default mode is not tied to a special EEG frequency band.

  1. Juvenile myoclonic epilepsy: clinical and EEG features

    DEFF Research Database (Denmark)

    Pedersen, S B; Petersen, K A

    1998-01-01

    We aimed to characterize the clinical profile and EEG features of 43 patients with juvenile myoclonic epilepsy. In a retrospective design we studied the records of, and re-interviewed, 43 patients diagnosed with JME from the epilepsy clinic data base. Furthermore, available EEGs were re...... were sleep deprivation (84%), stress (70%), and alcohol consumption (51%). EEG findings included rapid spike-wave and polyspike-wave....

  2. Grid connection point according to EEG. Does the BHG succeed the clearing house?; Netzverknuepfungspunkt nach dem EEG. Folgt der BGH der Clearingstelle?

    Energy Technology Data Exchange (ETDEWEB)

    Fischer, Jochen; Neusuess, Peter [Gassner, Groth, Siederer und Coll., Berlin (Germany). Bereich Anlagenzulassungs- und Energierecht

    2012-02-15

    Since the introduction of the Renewable Energy Law (EEG) in the year 2000, there is a dispute at which point a network operator has to connect an EEG system to his power distribution system. An explicit regulation on the network connection point first was made by the legislator in paragraph 5 EEG 2009. Due to the surprising recommendation of the Clearing House at the end of September 2011, the conflict opened again. At the Federal Court of Justice (Karlsruhe, Federal Republic of Germany), three proceedings are pending on this issue. Until the Federal Court of Justice has decided one of these three proceedings, the plant operator must assess the legal situation on the basis of previous decisions. With this in mind, the authors of the contribution under consideration report on the argumentation of the decisions and on the possibilities to handle the current situation.

  3. Application of Tsallis entropy to EEG: quantifying the presence of burst suppression after asphyxial cardiac arrest in rats.

    Science.gov (United States)

    Dandan Zhang; Jia, Xiaofeng; Ding, Haiyan; Ye, Datian; Thakor, Nitish V

    2010-04-01

    Burst suppression (BS) activity in EEG is clinically accepted as a marker of brain dysfunction or injury. Experimental studies in a rodent model of brain injury following asphyxial cardiac arrest (CA) show evidence of BS soon after resuscitation, appearing as a transitional recovery pattern between isoelectricity and continuous EEG. The EEG trends in such experiments suggest varying levels of uncertainty or randomness in the signals. To quantify the EEG data, Shannon entropy and Tsallis entropy (TsEn) are examined. More specifically, an entropy-based measure named TsEn area (TsEnA) is proposed to reveal the presence and the extent of development of BS following brain injury. The methodology of TsEnA and the selection of its parameter are elucidated in detail. To test the validity of this measure, 15 rats were subjected to 7 or 9 min of asphyxial CA. EEG recordings immediately after resuscitation from CA were investigated and characterized by TsEnA. The results show that TsEnA correlates well with the outcome assessed by evaluating the rodents after the experiments using a well-established neurological deficit score (Pearson correlation = 0.86, p EEG, and may be useful as an experimental or clinical tool for objective estimation of the gravity of brain damage after CA.

  4. Early Quantitative Gamma-Band EEG Marker is Associated with Outcomes After Cardiac Arrest and Targeted Temperature Management.

    Science.gov (United States)

    Deng, Ruoxian; Koenig, Matthew A; Young, Leanne Moon; Jia, Xiaofeng

    2015-10-01

    Brain recovery after cardiac arrest (CA) is sensitive to temperature. Yet the effect of temperature management on different EEG frequency bands has not been elucidated. A novel quantitative EEG algorithm, sub-band information quantity (SIQ), was applied to evaluate EEG recovery and outcomes after CA. Twenty-four Wistar rats undergoing 7-min CA were randomly assigned to immediate hypothermia (32-34 °C), normothermia (36.5-37.5 °C), or hyperthermia (38.5-39.5 °C) (n = 8). EEG was recorded continuously for the first 8 h and then for serial 30-min epochs daily. The neurologic deficit score (NDS) at 72-h was the primary functional outcome. Another four rats without brain injury were added as a control. Better recovery of gamma-band SIQ was found in the hypothermia group (0.60 ± 0.03) compared with the normothermia group (0.40 ± 0.03) (p EEG was found with temperature manipulation alone. Recovery of gamma-band SIQ-qEEG was strongly associated with functional outcomes after CA. Induced hypothermia was associated with faster recovery of gamma-band SIQ and improved functional outcomes. Targeted temperature management primarily affected gamma frequency oscillations but not delta rhythm.

  5. EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review.

    Science.gov (United States)

    Michel, Christoph M; Koenig, Thomas

    2017-11-28

    The present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of large-scale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants. Researchers have proposed that these microstates represent the basic building blocks of the chain of spontaneous conscious mental processes, and that their occurrence and temporal dynamics determine the quality of mentation. Several studies have further demonstrated that disturbances of mental processes associated with neurological and psychiatric conditions manifest as changes in the temporal dynamics of specific microstates. Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI. The scale-free properties of the time series of EEG microstates explain why similar networks can be observed at such different time scales. The present review will provide an overview of these EEG microstates, available methods for analysis, the functional interpretations of findings regarding these microstates, and their behavioral and clinical correlates. Copyright © 2017. Published by Elsevier Inc.

  6. Nucleated red blood cells and early EEG: predicting Sarnat stage and two year outcome.

    LENUS (Irish Health Repository)

    Walsh, B H

    2012-01-31

    AIMS: Hypoxic Ischaemic Encephalopathy (HIE) causes characteristic changes of the electroencephalogram (EEG), and a raised Nucleated Red Blood Cell (NRBC) count compared to controls. We wished to examine whether combining these markers could improve their ability to predict HIE severity in the first 24h. METHODS: Term infants with HIE were recruited. NRBC count and continuous multi-channel EEG were recorded within the first 24h. Neurological assessment was carried out at 24 months. A control population with NRBC counts in the first 24h was recruited. RESULTS: 44 infants with HIE and 43 control infants were recruited. Of the HIE population 39 completed a 2 year follow-up. The median NRBC count differed significantly between the controls and those with HIE (3\\/100 WBC [range of 0-11] vs 12.3\\/100 WBC [0-240]) (p<0.001). Within the HIE population the median NRBC count was significantly greater in infants with moderate\\/severe HIE than mild (16\\/100 WBC [range of 0-240] vs 8\\/100 WBC [1-23]) (p=0.016), and among infants with abnormal outcome compared to normal (21.3\\/100 WBC [1-239.8] vs 8.3\\/100 WBC [0-50])(p=0.03). The predictive ability of EEG changed with time post-delivery, therefore results are given at both 12 and 24h of age. At both time points the combined marker had a stronger correlation than EEG alone; with HIE severity (12h: r=0.661 vs r=0.622), (24h: r=0.645 vs r=0.598), and with outcome at 2 years (12h: r=0.756 vs r=0.652), (24h: r=0.802 vs r=0.746). CONCLUSION: Combining early EEG and NRBC count to predict HIE severity and neurological outcome, improved the predictive ability of either in isolation.

  7. Multichannel wearable fNIRS-EEG system for long-term clinical monitoring.

    Science.gov (United States)

    Kassab, Ali; Le Lan, Jérôme; Tremblay, Julie; Vannasing, Phetsamone; Dehbozorgi, Mahya; Pouliot, Philippe; Gallagher, Anne; Lesage, Frédéric; Sawan, Mohamad; Nguyen, Dang Khoa

    2018-01-01

    Continuous brain imaging techniques can be beneficial for the monitoring of neurological pathologies (such as epilepsy or stroke) and neuroimaging protocols involving movement. Among existing ones, functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have the advantage of being noninvasive, nonobstructive, inexpensive, yield portable solutions, and offer complementary monitoring of electrical and local hemodynamic activities. This article presents a novel system with 128 fNIRS channels and 32 EEG channels with the potential to cover a larger fraction of the adult superficial cortex than earlier works, is integrated with 32 EEG channels, is light and battery-powered to improve portability, and can transmit data wirelessly to an interface for real-time display of electrical and hemodynamic activities. A novel fNIRS-EEG stretchable cap, two analog channels for auxiliary data (e.g., electrocardiogram), eight digital triggers for event-related protocols and an internal accelerometer for movement artifacts removal contribute to improve data acquisition quality. The system can run continuously for 24 h. Following instrumentation validation and reliability on a solid phantom, performance was evaluated on (1) 12 healthy participants during either a visual (checkerboard) task at rest or while pedalling on a stationary bicycle or a cognitive (language) task and (2) 4 patients admitted either to the epilepsy (n = 3) or stroke (n = 1) units. Data analysis confirmed expected hemodynamic variations during validation recordings and useful clinical information during in-hospital testing. To the best of our knowledge, this is the first demonstration of a wearable wireless multichannel fNIRS-EEG monitoring system in patients with neurological conditions. Hum Brain Mapp 39:7-23, 2018. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  8. Neurological examination in small animals

    Directory of Open Access Journals (Sweden)

    Viktor Paluš

    2014-03-01

    Full Text Available This clinical review about the neurological examination in small animals describes the basics about the first steps of investigation when dealing with neurological patients. The knowledge of how to perform the neurological examination is important however more important is how to correctly interpret these performed tests. A step-by-step approach is mandatory and examiners should master the order and the style of performing these tests. Neurological conditions can be sometimes very distressing for owners and for pets that might not be the most cooperating. The role of a veterinary surgeon, as a professional, is therefore to collect the most relevant history, to examine a patient in a professional manner and to give to owners an educated opinion about the further treatment and prognosis. However neurological examinations might look challenging for many. But it is only the clinical application of neuroanatomy and neurophysiology to an every-day situation for practicing veterinarians and it does not require any specific in-to-depth knowledge. This clinical review is aimed not only to provide the information on how to perform the neurological examination but it is also aimed to appeal on veterinarians to challenge their daily routine and to start practicing on neurologically normal patients. This is the best and only way to differentiate between the normal and abnormal in a real situation.

  9. The amendment of the Renewable Energy Law (EEG); Die Novelle des Erneuerbare-Energien-Gesetzes (EEG)

    Energy Technology Data Exchange (ETDEWEB)

    Menze, Julian [Erdgas Muenster GmbH, Muenster (Germany)

    2011-07-01

    The Act for the reformation of the legal framework for the support of the power generation from renewable energy sources mainly consists of an amendment to the Renewable Energy Law (EEG) and becomes effective on 1st January, 2012. The author of the contribution under consideration reports on the most important new features of the EEG and gives an overview of the EEG 2012.

  10. Automatic seizure detection: going from sEEG to iEEG

    DEFF Research Database (Denmark)

    Henriksen, Jonas; Remvig, Line Sofie; Madsen, Rasmus Elsborg

    2010-01-01

    of ictal and non-ictal iEEG were obtained. Characteristics of the seizures are represented by use of wavelet transformation (WT) features and classified by a support vector machine. When implementing a method used for sEEG on iEEG data, a great improvement in performance was obtained when the high...

  11. Quality measures in neurology consult care for epileptic patients.

    Science.gov (United States)

    de la Morena Vicente, M A; Ballesteros Plaza, L; Martín García, H; Vidal Díaz, B; Anaya Caravaca, B; Pérez Martínez, D A

    2014-06-01

    Epilepsy is one of the most frequently observed diseases in neurology outpatient care. We analysed our hospital's implementation of the 8 epilepsy quality measures proposed by the American Academy of Neurology: documented seizure types and seizure frequency, aetiology of epilepsy or the epilepsy syndrome, review of EEG, MRI, or CT results, counselling about antiepileptic drug side effects, surgical therapy referral for intractable epilepsy, and counselling about epilepsy-specific safety issues and for women of childbearing age. In most cases, the first four quality measures were documented correctly. In 66% of the cases, doctors had asked about any adverse drug effects during every visit. Almost all patients with intractable epilepsy had been informed about surgical options or referred to a surgical centre of reference for an evaluation at some point, although referrals usually took place more than 3 years after the initial proposal. Safety issues had been explained to 37% of the patients and less than half of women of childbearing age with epilepsy had received counselling regarding contraception and pregnancy at least once a year. The care we provide is appropriate according to many of the quality measures, but we must deliver more counselling and information necessary for the care of epileptic patients in different stages of life. Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  12. Transient global amnesia and neurological events: the Framingham Heart Study

    Directory of Open Access Journals (Sweden)

    Jose Rafael Romero

    2013-05-01

    Full Text Available Background/ objective: Transient global amnesia (TGA is a temporary amnestic syndrome characterized by lack of other focal neurological deficits. Cerebrovascular disease, migraine and seizures have been suggested as underlying mechanisms. TGA may be a risk factor for cerebrovascular or other neurological events. We studied the relation of TGA, vascular risk factors, brain magnetic resonance imaging (MRI indices of subclinical ischemia and neurological events in a community-based sample. Design/setting: A total of 12 TGA cases were ascertained using standard criteria by experienced neurologists, and matched to 41 stroke- and seizure-free controls. Vascular risk factors, brain MRI findings, and subsequent cerebrovascular or seizure events were compared in cases and controls. Participants: Framingham Heart Study (FHS original and offspring cohort participants were included.Results: No significant differences between the groups were observed in the prevalence of vascular risk factors, or brain MRI measures. Few incident stroke/transient ischemic attacks (TIA (1 event among the cases and 4 in controls or subsequent seizures occurred in either group. Head CT during the acute event (n=11 and brain MRI (n=7 were negative for acute abnormalities. Electroencephalograms (EEG (n=5 were negative for epileptiform activity. Extracranial vascular studies were negative for significant stenosis in all cases.Conclusions: In our community-based study TGA was not related to traditional vascular risk factors, or cerebrovascular disease. However, our study is limited by small sample size and power, and larger studies are required to exclude an association.

  13. Test-retest reliability of cognitive EEG

    Science.gov (United States)

    McEvoy, L. K.; Smith, M. E.; Gevins, A.

    2000-01-01

    OBJECTIVE: Task-related EEG is sensitive to changes in cognitive state produced by increased task difficulty and by transient impairment. If task-related EEG has high test-retest reliability, it could be used as part of a clinical test to assess changes in cognitive function. The aim of this study was to determine the reliability of the EEG recorded during the performance of a working memory (WM) task and a psychomotor vigilance task (PVT). METHODS: EEG was recorded while subjects rested quietly and while they performed the tasks. Within session (test-retest interval of approximately 1 h) and between session (test-retest interval of approximately 7 days) reliability was calculated for four EEG components: frontal midline theta at Fz, posterior theta at Pz, and slow and fast alpha at Pz. RESULTS: Task-related EEG was highly reliable within and between sessions (r0.9 for all components in WM task, and r0.8 for all components in the PVT). Resting EEG also showed high reliability, although the magnitude of the correlation was somewhat smaller than that of the task-related EEG (r0.7 for all 4 components). CONCLUSIONS: These results suggest that under appropriate conditions, task-related EEG has sufficient retest reliability for use in assessing clinical changes in cognitive status.

  14. Neurological Manifestations of Dengue Infection

    Directory of Open Access Journals (Sweden)

    Guo-Hong Li

    2017-10-01

    Full Text Available Dengue counts among the most commonly encountered arboviral diseases, representing the fastest spreading tropical illness in the world. It is prevalent in 128 countries, and each year >2.5 billion people are at risk of dengue virus infection worldwide. Neurological signs of dengue infection are increasingly reported. In this review, the main neurological complications of dengue virus infection, such as central nervous system (CNS, peripheral nervous system, and ophthalmic complications were discussed according to clinical features, treatment and possible pathogenesis. In addition, neurological complications in children were assessed due to their atypical clinical features. Finally, dengue infection and Japanese encephalitis were compared for pathogenesis and main clinical manifestations.

  15. Why neurology? Factors which influence career choice in neurology.

    Science.gov (United States)

    Albert, Dara V; Hoyle, Chad; Yin, Han; McCoyd, Matthew; Lukas, Rimas V

    2016-01-01

    To evaluate the factors which influence the decision to pursue a career in neurology. An anonymous survey was developed using a Likert scale to rate responses. The survey was sent to adult and child neurology faculty, residents and fellows, as well as medical students applying for neurology. Descriptive statistics were used to analyse the factors of influence. Respondents were subsequently categorized into pre-neurology trainees, neurology trainees, child neurologists and adult neurologists, and differences between the groups were analysed using Pearson's chi-square test. One hundred and thirty-three anonymous responses were received. The respondents were neurologists across all levels of training and practice. Across all respondents, the most common factor of high importance was intellectual content of specialty, challenging diagnostic problems, type of patient encountered and interest in helping people. Responses were similar across the groups; however, the earliest trainees cited interest in helping people as most important, while those in neurology training and beyond cite intellectual content of the specialty as most important. As trainees transition from their earliest levels of clinical experience into working as residents and faculty, there is a shift in the cited important factors. Lifestyle and financial factors seem to be the least motivating across all groups. Encouragement from peers, mentors, faculty and practicing physicians is considered high influences in a smaller number of neurologists. This may present an opportunity for practicing neurologists to make connections with medical students early in their education in an effort to encourage and mentor candidates.

  16. Neural Basis of Tics: A Functional MRI Study

    OpenAIRE

    J Gordon Millichap

    2006-01-01

    Event-related functional MRI (fMRI) was used to study the neural basis of spontaneous motor and vocal tics in 10 patients with Tourette syndrome, at the National Institute of Neurological Disorders and Stroke, Bethesda, MD.

  17. High density scalp EEG in frontal lobe epilepsy.

    Science.gov (United States)

    Feyissa, Anteneh M; Britton, Jeffrey W; Van Gompel, Jamie; Lagerlund, Terrance L; So, Elson; Wong-Kisiel, Lilly C; Cascino, Gregory C; Brinkman, Benjamin H; Nelson, Cindy L; Watson, Robert; Worrell, Gregory A

    2017-01-01

    Localization of seizures in frontal lobe epilepsy using the 10-20 system scalp EEG is often challenging because neocortical seizure can spread rapidly, significant muscle artifact, and the suboptimal spatial resolution for seizure generators involving mesial frontal lobe cortex. Our aim in this study was to determine the value of visual interpretation of 76 channel high density EEG (hdEEG) monitoring (10-10 system) in patients with suspected frontal lobe epilepsy, and to evaluate concordance with MRI, subtraction ictal SPECT co-registered to MRI (SISCOM), conventional EEG, and intracranial EEG (iEEG). We performed a retrospective cohort study of 14 consecutive patients who underwent hdEEG monitoring for suspected frontal lobe seizures. The gold standard for localization was considered to be iEEG. Concordance of hdEEG findings with MRI, subtraction ictal SPECT co-registered to MRI (SISCOM), conventional 10-20 EEG, and iEEG as well as correlation of hdEEG localization with surgical outcome were examined. hdEEG localization was concordant with iEEG in 12/14 and was superior to conventional EEG 3/14 (pfrontal epilepsy requiring localization of epileptogenic brain. hdEEG may assist in developing a hypothesis for iEEG monitoring and could potentially augment EEG source localization. Published by Elsevier B.V.

  18. Neurological Diagnostic Tests and Procedures

    Science.gov (United States)

    ... of diagnostic imaging techniques and chemical and metabolic analyses to detect, manage, and treat neurological disease. Some ... performed in a doctor’s office or at a clinic. Fluoroscopy is a type of x-ray that ...

  19. Neurological complications of underwater diving.

    Science.gov (United States)

    Rosińska, Justyna; Łukasik, Maria; Kozubski, Wojciech

    2015-01-01

    The diver's nervous system is extremely sensitive to high ambient pressure, which is the sum of atmospheric and hydrostatic pressure. Neurological complications associated with diving are a difficult diagnostic and therapeutic challenge. They occur in both commercial and recreational diving and are connected with increasing interest in the sport of diving. Hence it is very important to know the possible complications associated with this kind of sport. Complications of the nervous system may result from decompression sickness, pulmonary barotrauma associated with cerebral arterial air embolism (AGE), otic and sinus barotrauma, high pressure neurological syndrome (HPNS) and undesirable effect of gases used for breathing. The purpose of this review is to discuss the range of neurological symptoms that can occur during diving accidents and also the role of patent foramen ovale (PFO) and internal carotid artery (ICA) dissection in pathogenesis of stroke in divers. Copyright © 2014 Polish Neurological Society. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

  20. Neurologic Complications of Smallpox Vaccination

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2003-06-01

    Full Text Available Smallpox and smallpox vaccination is reviewed from the Departments of Neurology, Yale University School of Medicine, New Haven, CT, and University of New Mexico School of Medicine, Albuquerque.

  1. Neurological Complications of Bariatric Surgery.

    Science.gov (United States)

    Goodman, Jerry Clay

    2015-12-01

    Obesity has attained pandemic proportions, and bariatric surgery is increasingly being employed resulting in turn to more neurological complications which must be recognized and managed. Neurological complications may result from mechanical or inflammatory mechanisms but primarily result from micro-nutritional deficiencies. Vitamin B12, thiamine, and copper constitute the most frequent deficiencies. Neurological complications may occur at reasonably predictable times after bariatric surgery and are associated with the type of surgery used. During the early post-operative period, compressive or stretch peripheral nerve injury, rhabdomyolysis, Wernicke's encephalopathy, and inflammatory polyradiculoneuropathy may occur. Late complications ensue after months to years and include combined system degeneration (vitamin B12 deficiency) and hypocupric myelopathy. Bariatric surgery patients require careful nutritional follow-up with routine monitoring of micronutrients at 6 weeks and 3, 6, and 12 months post-operatively and then annually after surgery and multivitamin supplementation for life. Sustained vigilance for common and rare neurological complications is essential.

  2. Neurologic disorder and criminal responsibility.

    Science.gov (United States)

    Yaffe, Gideon

    2013-01-01

    Sufferers from neurologic and psychiatric disorders are not uncommonly defendants in criminal trials. This chapter surveys a variety of different ways in which neurologic disorder bears on criminal responsibility. It discusses the way in which a neurologic disorder might bear on the questions of whether or not the defendant acted voluntarily; whether or not he or she was in the mental state that is required for guilt for the crime; and whether or not he or she is deserving of an insanity defense. The discussion demonstrates that a just determination of whether a sufferer from a neurologic disorder is diminished in his or her criminal responsibility for harmful conduct requires equal appreciation of the nature of the relevant disorder and its impact on behavior, on the one hand, and of the legal import of facts about the psychologic mechanisms through which behavior is generated, on the other. © 2013 Elsevier B.V. All rights reserved.

  3. Compressive sensing scalp EEG signals: implementations and practical performance.

    Science.gov (United States)

    Abdulghani, Amir M; Casson, Alexander J; Rodriguez-Villegas, Esther

    2012-11-01

    Highly miniaturised, wearable computing and communication systems allow unobtrusive, convenient and long term monitoring of a range of physiological parameters. For long term operation from the physically smallest batteries, the average power consumption of a wearable device must be very low. It is well known that the overall power consumption of these devices can be reduced by the inclusion of low power consumption, real-time compression of the raw physiological data in the wearable device itself. Compressive sensing is a new paradigm for providing data compression: it has shown significant promise in fields such as MRI; and is potentially suitable for use in wearable computing systems as the compression process required in the wearable device has a low computational complexity. However, the practical performance very much depends on the characteristics of the signal being sensed. As such the utility of the technique cannot be extrapolated from one application to another. Long term electroencephalography (EEG) is a fundamental tool for the investigation of neurological disorders and is increasingly used in many non-medical applications, such as brain-computer interfaces. This article investigates in detail the practical performance of different implementations of the compressive sensing theory when applied to scalp EEG signals.

  4. EEG topographies provide subject-specific correlates of motor control.

    Science.gov (United States)

    Pirondini, Elvira; Coscia, Martina; Minguillon, Jesus; Millán, José Del R; Van De Ville, Dimitri; Micera, Silvestro

    2017-10-16

    Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-established role during resting state, their implication in the generation of motor behavior is debated. Evidence of such a functional role of spontaneous brain activity would provide support for the design of novel and sensitive biomarkers in neurological disorders. Here we examined whether and to what extent intrinsic brain activity contributes and plays a functional role during natural motor behaviors. For this we first extracted subject-specific EEG microstates and muscle synergies during reaching-and-grasping movements in healthy volunteers. We show that, in every subject, well-known resting-state microstates persist during movement execution with similar topographies and temporal characteristics, but are supplemented by novel task-related microstates. We then show that the subject-specific microstates' dynamical organization correlates with the activation of muscle synergies and can be used to decode individual grasping movements with high accuracy. These findings provide first evidence that spontaneous brain activity encodes detailed information about motor control, offering as such the prospect of a novel tool for the definition of subject-specific biomarkers of brain plasticity and recovery in neuro-motor disorders.

  5. Historical perspective of Indian neurology

    Directory of Open Access Journals (Sweden)

    Shrikant Mishra

    2013-01-01

    Full Text Available Objective: To chronicle the history of medicine and neurology in India with a focus on its establishment and evolution. Background: The history of neurology in India is divided into two periods: ancient and modern. The ancient period dates back to the mid-second millennium Before Christ (B.C. during the creation of the Ayurvedic Indian system of Medicine, which detailed descriptions of neurological disorders called Vata Vyadhi. The early 20 th century witnessed the birth of modern Indian medicine with the onset of formal physician training at the nation′s first allopathic medical colleges located in Madras (1835, Calcutta (1835 and Mumbai (1848. Prior to India′s independence from Britain in 1947, only 25 medical schools existed in the entire country. Today, there are over 355. In 1951, physicians across the field of neurology and neurosurgery united to create the Neurological Society of India (NSI. Four decades later in 1991, neurologists branched out to establish a separate organization called the Indian Academy of Neurology (IAN. Design/Methods: Information was gathered through literature review using PubMed, MD Consult, OVID, primary texts and research at various academic institutions in India. Results: Neurological disorders were first described in ancient India under Ayurveda. The transition to modern medicine occurred more recently through formal training at medical schools beginning in the 1930′s. Early pioneers and founders of the NSI (1951 include Dr. Jacob Chandy, Dr. B Ramamurthi, Dr. S. T. Narasimhan and Dr. Baldev Singh. Later, Dr. J. S. Chopra, a prominent neurologist and visionary, recognized the need for primary centers of collaboration and subsequently established the IAN (1991. The future of Neurology in India is growing rapidly. Currently, there are 1100 practicing neurologists and more than 150 post-graduate trainees who join the ranks every year. As the number of neurologists rises across India, there is an increase in

  6. Historical perspective of Indian neurology

    Science.gov (United States)

    Mishra, Shrikant; Trikamji, Bhavesh; Singh, Sandeep; Singh, Parampreet; Nair, Rajasekharan

    2013-01-01

    Objective: To chronicle the history of medicine and neurology in India with a focus on its establishment and evolution. Background: The history of neurology in India is divided into two periods: ancient and modern. The ancient period dates back to the mid-second millennium Before Christ (B.C.) during the creation of the Ayurvedic Indian system of Medicine, which detailed descriptions of neurological disorders called Vata Vyadhi. The early 20th century witnessed the birth of modern Indian medicine with the onset of formal physician training at the nation's first allopathic medical colleges located in Madras (1835), Calcutta (1835) and Mumbai (1848). Prior to India's independence from Britain in 1947, only 25 medical schools existed in the entire country. Today, there are over 355. In 1951, physicians across the field of neurology and neurosurgery united to create the Neurological Society of India (NSI). Four decades later in 1991, neurologists branched out to establish a separate organization called the Indian Academy of Neurology (IAN). Design/Methods: Information was gathered through literature review using PubMed, MD Consult, OVID, primary texts and research at various academic institutions in India. Results: Neurological disorders were first described in ancient India under Ayurveda. The transition to modern medicine occurred more recently through formal training at medical schools beginning in the 1930's. Early pioneers and founders of the NSI (1951) include Dr. Jacob Chandy, Dr. B Ramamurthi, Dr. S. T. Narasimhan and Dr. Baldev Singh. Later, Dr. J. S. Chopra, a prominent neurologist and visionary, recognized the need for primary centers of collaboration and subsequently established the IAN (1991). The future of Neurology in India is growing rapidly. Currently, there are 1100 practicing neurologists and more than 150 post-graduate trainees who join the ranks every year. As the number of neurologists rises across India, there is an increase in the amount of

  7. EEG complexity as a biomarker for autism spectrum disorder risk

    Directory of Open Access Journals (Sweden)

    Tierney Adrienne

    2011-02-01

    Full Text Available Abstract Background Complex neurodevelopmental disorders may be characterized by subtle brain function signatures early in life before behavioral symptoms are apparent. Such endophenotypes may be measurable biomarkers for later cognitive impairments. The nonlinear complexity of electroencephalography (EEG signals is believed to contain information about the architecture of the neural networks in the brain on many scales. Early detection of abnormalities in EEG signals may be an early biomarker for developmental cognitive disorders. The goal of this paper is to demonstrate that the modified multiscale entropy (mMSE computed on the basis of resting state EEG data can be used as a biomarker of normal brain development and distinguish typically developing children from a group of infants at high risk for autism spectrum disorder (ASD, defined on the basis of an older sibling with ASD. Methods Using mMSE as a feature vector, a multiclass support vector machine algorithm was used to classify typically developing and high-risk groups. Classification was computed separately within each age group from 6 to 24 months. Results Multiscale entropy appears to go through a different developmental trajectory in infants at high risk for autism (HRA than it does in typically developing controls. Differences appear to be greatest at ages 9 to 12 months. Using several machine learning algorithms with mMSE as a feature vector, infants were classified with over 80% accuracy into control and HRA groups at age 9 months. Classification accuracy for boys was close to 100% at age 9 months and remains high (70% to 90% at ages 12 and 18 months. For girls, classification accuracy was highest at age 6 months, but declines thereafter. Conclusions This proof-of-principle study suggests that mMSE computed from resting state EEG signals may be a useful biomarker for early detection of risk for ASD and abnormalities in cognitive development in infants. To our knowledge, this is

  8. Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease.

    Science.gov (United States)

    Yuvaraj, R; Murugappan, M; Ibrahim, Norlinah Mohamed; Sundaraj, Kenneth; Omar, Mohd Iqbal; Mohamad, Khairiyah; Palaniappan, R

    2014-12-01

    In addition to classic motor signs and symptoms, individuals with Parkinson's disease (PD) are characterized by emotional deficits. Ongoing brain activity can be recorded by electroencephalograph (EEG) to discover the links between emotional states and brain activity. This study utilized machine-learning algorithms to categorize emotional states in PD patients compared with healthy controls (HC) using EEG. Twenty non-demented PD patients and 20 healthy age-, gender-, and education level-matched controls viewed happiness, sadness, fear, anger, surprise, and disgust emotional stimuli while fourteen-channel EEG was being recorded. Multimodal stimulus (combination of audio and visual) was used to evoke the emotions. To classify the EEG-based emotional states and visualize the changes of emotional states over time, this paper compares four kinds of EEG features for emotional state classification and proposes an approach to track the trajectory of emotion changes with manifold learning. From the experimental results using our EEG data set, we found that (a) bispectrum feature is superior to other three kinds of features, namely power spectrum, wavelet packet and nonlinear dynamical analysis; (b) higher frequency bands (alpha, beta and gamma) play a more important role in emotion activities than lower frequency bands (delta and theta) in both groups and; (c) the trajectory of emotion changes can be visualized by reducing subject-independent features with manifold learning. This provides a promising way of implementing visualization of patient's emotional state in real time and leads to a practical system for noninvasive assessment of the emotional impairments associated with neurological disorders. Copyright © 2014 Elsevier B.V. All rights reserved.

  9. Medical technology assessment EEG and evoked potentials in the intensive care unit.

    Science.gov (United States)

    Guérit, J M

    1999-09-01

    We review the principal aspects of EEG and evoked potential (EP) neuromonitoring in the intensive care unit. The electrophysiological methods allow functional assessment of comatose patients and can be used (a) as a help to diagnose the origin of coma, (b) as a means to predict outcome, and (c) for monitoring purposes. The combination of the EEG and long-, middle-, and short-latency EPs allows widespread assessment of the cerebral cortex, the brain-stem, and the spinal cord. The EEG and the EP interpretation first requires taking into account non-neurological factors that may interfere with the recorded activities (sensory pathologies, toxic or metabolic problems, body temperature). The sensitivity and the specificity of any neurophysiological technique depend on the etiology of coma. Anoxic comas are associated with a predominantly cortical involvement, while the cortical and brain-stem functions are to be taken into account to interpret the EEG and the EPs in head trauma. The EEG and the EPs can be used to differentiate the comas due to structural lesions from those of metabolic origin, to confirm brain death and help to diagnose psychogenic unresponsiveness or a de-efferented state. While the prognostic value of the EEG is markedly hampered by the widespread use of sedative drugs, it has been possible to design efficient systems based on early- and middle-latency multimodality evoked potentials in anoxic and traumatic comas and, more generally, in all comas associated with an increase of the intracranial pressure. Continuous neuromonitoring techniques are currently under development. They have already been proven useful for the early detection and for the prevention of subclinical seizures, transtentorial herniation, vasospasm, and other causes of brain or spinal-cord ischemia.

  10. EEG-fMRI validation studies in comparison with icEEG: a review.

    Science.gov (United States)

    Zhang, Jing; Liu, Weifang; Chen, Hui; Xia, Hong; Zhou, Zhen; Wang, Lei; Mei, Shanshan; Liu, Qingzhu; Li, Yunlin

    2012-06-01

    Simultaneous EEG-fMRI is a non-invasive investigation technique developed to localize the generators of interictal epileptiform discharges (IED) in patients with epilepsy. Although the value of EEG-fMRI in epilepsy presurgical evaluation is being assessed clinically, its utility is still controversial. In this review, we considered EEG-fMRI applications in epilepsy presurgical evaluation with a focus on validation studies that compared the results of EEG-fMRI with those of the current "gold standard" intracranial EEG (icEEG) in order to assess its utility of seizure focus localization and the possibility for EEG-fMRI to reduce the need for invasive techniques such as icEEG. Since the advances of EEG-fMRI partially rely on the maturation of its data analysis, we also reviewed the methodological developments in EEG-fMRI analysis. It is possible that combining with other neuroimaging modalities such as MEG/MSI and ESI, EEG-fMRI may play a greater role in epilepsy presurgical evaluation. Copyright © 2012 Elsevier B.V. All rights reserved.

  11. Functional magnetic resonance imaging in neurology.

    Science.gov (United States)

    Auer, Tibor; Schwarcz, Attila; Horváth, Réka A; Barsi, Péter; Janszky, József

    2008-01-30

    The present contribution discusses the clinical use of functional MRI (fMRI) and its role in the most common neurological diseases. FMRI was found a reliable and reproducible examination tool resulting in a wide distribution of fMRI methods in presurgical evaluation of epilepsy in determining the relationship of eloquent areas and the epileptic focus. Preliminary data suggest that fMRI using memory paradigms can predict the postoperative memory decline in epilepsy surgery by determining whether a reorganization of memory functions took place. Speech-activated fMRI became the most used tool in determining hemispheric dominance. Visual and sensory-motor cortex can also be routinely investigated by fMRI which helps in decision on epilepsy surgery. FMRI combined with EEG is a new diagnostic tool in epilepsy and sleep disorders. FMRI can identify the penumbra after stroke and can provide an additional information on metabolic state of the threatened brain tissue. FMRI has a predictive role in post-stroke recovery. In relapsing-remitting MS an adaptive reorganization can be demonstrated by fMRI affecting the visual, motor, and memory systems, despite preserved functional performance. Much more extensive reorganization can be demonstrated in secondary progressive MS. These findings suggest that the different stages of MS are related to different stages of the reorganization and MS becomes progressive when there is no more reserve capacity in the brain for reorganization. FMRI offers the capability of detecting early functional hemodynamic alterations in Alzheimer's disease before morphological changes. FMRI can be a valuable tool to test and monitor treatment efficacy in AD. FMRI can also provide information about the mechanisms of different therapeutic approaches in Parkinson disorder including drug treatment and deep brain stimulation.

  12. EEG and MEG: relevance to neuroscience

    NARCIS (Netherlands)

    Lopes da Silva, F.

    2013-01-01

    To understand dynamic cognitive processes, the high time resolution of EEG/MEG is invaluable. EEG/MEG signals can play an important role in providing measures of functional and effective connectivity in the brain. After a brief description of the foundations and basic methodological aspects of

  13. Objective Audiometry using Ear-EEG

    DEFF Research Database (Denmark)

    Christensen, Christian Bech; Kidmose, Preben

    life. Ear-EEG may therefore be an enabling technology for objective audiometry out of the clinic, allowing regularly fitting of the hearing aids to be made by the users in their everyday life environment. In this study we investigate the application of ear-EEG in objective audiometry....

  14. Research on Algorithm for Feature Extraction and Classification of Motor Imagery EEG Signals

    Directory of Open Access Journals (Sweden)

    Tian Juan

    2017-01-01

    Full Text Available This paper made a research on the feature extraction and pattern recognition of left and right hands motor imagery EEG signals. In combination with the data from BCI Competition III, denoising preprocessing is carried out for EEG signals firstly; and then, the relative wavelet energy is extracted as a feature vector from the Channels C3 and C4 by use of the algorithm for relative wavelet energy, and pattern recognition is carried out by use of the radial basis function neural network (RBFNN. Simulation results show that the proposed method achieves good classification results.

  15. The application study of wavelet packet transformation in the de-noising of dynamic EEG data.

    Science.gov (United States)

    Li, Yifeng; Zhang, Lihui; Li, Baohui; Wei, Xiaoyang; Yan, Guiding; Geng, Xichen; Jin, Zhao; Xu, Yan; Wang, Haixia; Liu, Xiaoyan; Lin, Rong; Wang, Quan

    2015-01-01

    This paper briefly describes the basic principle of wavelet packet analysis, and on this basis introduces the general principle of wavelet packet transformation for signal den-noising. The dynamic EEG data under +Gz acceleration is made a de-noising treatment by using wavelet packet transformation, and the de-noising effects with different thresholds are made a comparison. The study verifies the validity and application value of wavelet packet threshold method for the de-noising of dynamic EEG data under +Gz acceleration.

  16. EEG entropy measures in anesthesia

    Directory of Open Access Journals (Sweden)

    Zhenhu eLiang

    2015-02-01

    Full Text Available Objective: Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy algorithms in assessing anesthesia drugs’ effect is lacking. In this study, we compare the capability of twelve entropy indices for monitoring depth of anesthesia (DoA and detecting the burst suppression pattern (BSP, in anesthesia induced by GA-BAergic agents.Methods: Twelve indices were investigated, namely Response Entropy (RE and State entropy (SE, three wavelet entropy (WE measures (Shannon WE (SWE, Tsallis WE (TWE and Renyi WE (RWE, Hilbert-Huang spectral entropy (HHSE, approximate entropy (ApEn, sample entropy (SampEn, Fuzzy entropy, and three permutation entropy (PE measures (Shannon PE (SPE, Tsallis PE (TPE and Renyi PE (RPE. Two EEG data sets from sevoflurane-induced and isoflu-rane-induced anesthesia respectively were selected to assess the capability of each entropy index in DoA monitoring and BSP detection. To validate the effectiveness of these entropy algorithms, phar-macokinetic / pharmacodynamic (PK/PD modeling and prediction probability analysis were applied. The multifractal detrended fluctuation analysis (MDFA as a non-entropy measure was compared.Results: All the entropy and MDFA indices could track the changes in EEG pattern during different anesthesia states. Three PE measures outperformed the other entropy indices, with less baseline vari-ability, higher coefficient of determination and prediction probability, and RPE performed best; ApEn and SampEn discriminated BSP best. Additionally, these entropy measures showed an ad-vantage in computation efficiency compared with MDFA.Conclusion: Each entropy index has its advantages and disadvantages in estimating DoA. Overall, it is suggested that the RPE index was a superior measure.Significance: Investigating the advantages and disadvantages of these entropy indices could help improve current clinical indices for monitoring DoA.

  17. EEG entropy measures in anesthesia.

    Science.gov (United States)

    Liang, Zhenhu; Wang, Yinghua; Sun, Xue; Li, Duan; Voss, Logan J; Sleigh, Jamie W; Hagihira, Satoshi; Li, Xiaoli

    2015-01-01

    ► Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia states.► Approximate Entropy and Sample Entropy performed best in detecting burst suppression. Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy algorithms in assessing anesthesia drugs' effect is lacking. In this study, we compare the capability of 12 entropy indices for monitoring depth of anesthesia (DoA) and detecting the burst suppression pattern (BSP), in anesthesia induced by GABAergic agents. Twelve indices were investigated, namely Response Entropy (RE) and State entropy (SE), three wavelet entropy (WE) measures [Shannon WE (SWE), Tsallis WE (TWE), and Renyi WE (RWE)], Hilbert-Huang spectral entropy (HHSE), approximate entropy (ApEn), sample entropy (SampEn), Fuzzy entropy, and three permutation entropy (PE) measures [Shannon PE (SPE), Tsallis PE (TPE) and Renyi PE (RPE)]. Two EEG data sets from sevoflurane-induced and isoflurane-induced anesthesia respectively were selected to assess the capability of each entropy index in DoA monitoring and BSP detection. To validate the effectiveness of these entropy algorithms, pharmacokinetic/pharmacodynamic (PK/PD) modeling and prediction probability (Pk) analysis were applied. The multifractal detrended fluctuation analysis (MDFA) as a non-entropy measure was compared. All the entropy and MDFA indices could track the changes in EEG pattern during different anesthesia states. Three PE measures outperformed the other entropy indices, with less baseline variability, higher coefficient of determination (R (2)) and prediction probability, and RPE performed best; ApEn and SampEn discriminated BSP best. Additionally, these entropy measures showed an advantage in computation efficiency compared with MDFA. Each

  18. EEG entropy measures in anesthesia

    Science.gov (United States)

    Liang, Zhenhu; Wang, Yinghua; Sun, Xue; Li, Duan; Voss, Logan J.; Sleigh, Jamie W.; Hagihira, Satoshi; Li, Xiaoli

    2015-01-01

    Highlights: ► Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia states.► Approximate Entropy and Sample Entropy performed best in detecting burst suppression. Objective: Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy algorithms in assessing anesthesia drugs' effect is lacking. In this study, we compare the capability of 12 entropy indices for monitoring depth of anesthesia (DoA) and detecting the burst suppression pattern (BSP), in anesthesia induced by GABAergic agents. Methods: Twelve indices were investigated, namely Response Entropy (RE) and State entropy (SE), three wavelet entropy (WE) measures [Shannon WE (SWE), Tsallis WE (TWE), and Renyi WE (RWE)], Hilbert-Huang spectral entropy (HHSE), approximate entropy (ApEn), sample entropy (SampEn), Fuzzy entropy, and three permutation entropy (PE) measures [Shannon PE (SPE), Tsallis PE (TPE) and Renyi PE (RPE)]. Two EEG data sets from sevoflurane-induced and isoflurane-induced anesthesia respectively were selected to assess the capability of each entropy index in DoA monitoring and BSP detection. To validate the effectiveness of these entropy algorithms, pharmacokinetic/pharmacodynamic (PK/PD) modeling and prediction probability (Pk) analysis were applied. The multifractal detrended fluctuation analysis (MDFA) as a non-entropy measure was compared. Results: All the entropy and MDFA indices could track the changes in EEG pattern during different anesthesia states. Three PE measures outperformed the other entropy indices, with less baseline variability, higher coefficient of determination (R2) and prediction probability, and RPE performed best; ApEn and SampEn discriminated BSP best. Additionally, these entropy measures showed an advantage in computation

  19. Performance evaluation for epileptic electroencephalogram (EEG) detection by using Neyman-Pearson criteria and a support vector machine

    Science.gov (United States)

    Wang, Chun-mei; Zhang, Chong-ming; Zou, Jun-zhong; Zhang, Jian

    2012-02-01

    The diagnosis of several neurological disorders is based on the detection of typical pathological patterns in electroencephalograms (EEGs). This is a time-consuming task requiring significant training and experience. A lot of effort has been devoted to developing automatic detection techniques which might help not only in accelerating this process but also in avoiding the disagreement among readers of the same record. In this work, Neyman-Pearson criteria and a support vector machine (SVM) are applied for detecting an epileptic EEG. Decision making is performed in two stages: feature extraction by computing the wavelet coefficients and the approximate entropy (ApEn) and detection by using Neyman-Pearson criteria and an SVM. Then the detection performance of the proposed method is evaluated. Simulation results demonstrate that the wavelet coefficients and the ApEn are features that represent the EEG signals well. By comparison with Neyman-Pearson criteria, an SVM applied on these features achieved higher detection accuracies.

  20. Mouse epileptic seizure detection with multiple EEG features and simple thresholding technique

    Science.gov (United States)

    Tieng, Quang M.; Anbazhagan, Ashwin; Chen, Min; Reutens, David C.

    2017-12-01

    Objective. Epilepsy is a common neurological disorder characterized by recurrent, unprovoked seizures. The search for new treatments for seizures and epilepsy relies upon studies in animal models of epilepsy. To capture data on seizures, many applications require prolonged electroencephalography (EEG) with recordings that generate voluminous data. The desire for efficient evaluation of these recordings motivates the development of automated seizure detection algorithms. Approach. A new seizure detection method is proposed, based on multiple features and a simple thresholding technique. The features are derived from chaos theory, information theory and the power spectrum of EEG recordings and optimally exploit both linear and nonlinear characteristics of EEG data. Main result. The proposed method was tested with real EEG data from an experimental mouse model of epilepsy and distinguished seizures from other patterns with high sensitivity and specificity. Significance. The proposed approach introduces two new features: negative logarithm of adaptive correlation integral and power spectral coherence ratio. The combination of these new features with two previously described features, entropy and phase coherence, improved seizure detection accuracy significantly. Negative logarithm of adaptive correlation integral can also be used to compute the duration of automatically detected seizures.

  1. Insights into teaching a complex skill: Threshold concepts and troublesome knowledge in electroencephalography (EEG).

    Science.gov (United States)

    Moeller, Jeremy J; Fawns, Tim

    2017-12-07

    Threshold concepts (TCs) are defined as ideas within a discipline that are often conceptually difficult ("troublesome"), but when learned, transform a learner's understanding. Electroencephalography (EEG) has been recognized as a conceptually difficult field in neurology, and a study of threshold concepts in EEG may provide insights into how it is taught and learned. Semi-structured interviews were performed with 12 EEG experts in the US and Canada. Experts identified potential TCs and troublesome knowledge, and explored how these concepts were taught and learned. Interview transcripts were coded and analyzed using a general thematic analysis approach, based on the core elements of the threshold concepts framework. One concept (polarity) emerged most clearly as a threshold concept. Other troublesome areas included pattern interpretation and clinical significance, but these lacked some of the characteristics of TCs. Several themes emerged, including the role of TCs and troublesome knowledge in determining expertise and the role of prior experience. We have used the threshold concepts framework to explore potential barriers to learning, suggest ways to support learners, and identify potential points of emphasis for teaching and learning EEG. A similar approach could be applied to the study of teaching and learning in other conceptually difficult areas of medical education.

  2. Neurology residency training in Europe--the current situation.

    Science.gov (United States)

    Struhal, W; Sellner, J; Lisnic, V; Vécsei, L; Müller, E; Grisold, W

    2011-04-01

    Little is known about neurological training curricula in Europe. A joint approach by the European Federation of Neurological Societies (EFNS), the Union of European Medical Specialists/European Board of Neurology and the European Association of Young Neurologist and Trainees was established to explore the spectrum of neurology training in Europe. In 2006, a questionnaire-based survey on neurology curricula as well as demographic data was designed by WS and WG and distributed by the EFNS to the national delegates of the EFNS, which comprises all European countries and Israel. By 2009, delegates from 31 of 41 countries (representing 76% of 505 million) had returned the questionnaire. A total of 24,165 specialists (46% women) were registered in the 31 countries. This corresponds to an average of 6.6 neurologists per 100,000 inhabitants (range 0.9-17.4/100,000 inhabitants). Duration of training in Europe was on average 4.9,years, ranging from 3 to 6,years. The number of residents interested in neurological training exceeded the amount of available training positions. Performance of neurological trainees was regularly assessed in 26 countries (84%), usually by recurrent clinical evaluation. Board examinations were held in 23 countries (74%). Interim examinations were performed in three countries, exit examinations in 14 and both interim and exit examination in 6. Considerable differences were also found in manpower (0.9-17.4 neurologists/100,000 inhabitants) and working conditions (e.g. average weekly working hours ranging from 30-80 h/month). We found a significant positive correlation between manpower and theoretical training hours. Considerable differences exist in training curricula of European countries. These data might provide the basis for European training and quality assurance initiatives. © 2010 The Author(s). European Journal of Neurology © 2010 EFNS.

  3. Interictal Electroencephalography (EEG) Findings in Children with Epilepsy and Bilateral Brain Lesions on Magnetic Resonance Imaging (MRI).

    Science.gov (United States)

    Zubcevic, Smail; Milos, Maja; Catibusic, Feriha; Uzicanin, Sajra; Krdzalic, Belma

    2015-12-01

    Neuroimaging procedures and electroencephalography (EEG) are basic parts of investigation of patients with epilepsies. The aim is to try to assess relationship between bilaterally localized brain lesions found in routine management of children with newly diagnosed epilepsy and their interictal EEG findings. Total amount of 68 patients filled criteria for inclusion in the study that was performed at Neuropediatrics Department, Pediatric Hospital, University Clinical Center Sarajevo, or its outpatient clinic. There were 33 girls (48,5%) and 35 boys (51,5%). Average age at diagnosis of epilepsy was 3,5 years. Both neurological and neuropsychological examination in the moment of making diagnosis of epilepsy was normal in 27 (39,7%) patients, and showed some kind of delay or other neurological finding in 41 (60,3%). Brain MRI showed lesions that can be related to antenatal or perinatal events in most of the patients (ventricular dilation in 30,9%, delayed myelination and post-hypoxic changes in 27,9%). More than half of patients (55,9%) showed bilateral interictal epileptiform discharges on their EEGs, and further 14,7% had other kinds of bilateral abnormalities. Frequency of bilateral epileptic discharges showed statistically significant predominance on level of pEEG finding did not reveal significant type of EEG for assessed brain lesions. We conclude that there exists relationship between bilaterally localized brain MRI lesions and interictal bilateral epileptiform or nonspecific EEG findings in children with newly diagnosed epilepsies. These data are suggesting that in cases when they do not correlate there is a need for further investigation of seizure etiology.

  4. Neurologic presentation of celiac disease.

    Science.gov (United States)

    Bushara, Khalafalla O

    2005-04-01

    Celiac disease (CD) long has been associated with neurologic and psychiatric disorders including cerebellar ataxia, peripheral neuropathy, epilepsy, dementia, and depression. Earlier reports mainly have documented the involvement of the nervous system as a complication of prediagnosed CD. However, more recent studies have emphasized that a wider spectrum of neurologic syndromes may be the presenting extraintestinal manifestation of gluten sensitivity with or without intestinal pathology. These include migraine, encephalopathy, chorea, brain stem dysfunction, myelopathy, mononeuritis multiplex, Guillain-Barre-like syndrome, and neuropathy with positive antiganglioside antibodies. The association between most neurologic syndromes described and gluten sensitivity remains to be confirmed by larger epidemiologic studies. It further has been suggested that gluten sensitivity (as evidenced by high antigliadin antibodies) is a common cause of neurologic syndromes (notably cerebellar ataxia) of otherwise unknown cause. Additional studies showed high prevalence of gluten sensitivity in genetic neurodegenerative disorders such as hereditary spinocerebellar ataxia and Huntington's disease. It remains unclear whether gluten sensitivity contributes to the pathogenesis of these disorders or whether it represents an epiphenomenon. Studies of gluten-free diet in patients with gluten sensitivity and neurologic syndromes have shown variable results. Diet trials also have been inconclusive in autism and schizophrenia, 2 diseases in which sensitivity to dietary gluten has been implicated. Further studies clearly are needed to assess the efficacy of gluten-free diet and to address the underlying mechanisms of nervous system pathology in gluten sensitivity.

  5. Neurological aspects of vibroacoustic disease.

    Science.gov (United States)

    Martinho Pimenta, A J; Castelo Branco, N A

    1999-03-01

    Mood and behavioral abnormalities are the most common early findings related to vibroacoustic disease (VAD). Other signs and symptoms have been observed in VAD patients. Brain MRI discloses small multifocal lesions in about 50% of subjects with more than 10 yr of occupational exposure to large pressure amplitude (> or = 90 dB SPL) and low frequency (< or = 500 Hz) (LPALF) noise. However, to date, there have been no studies globally integrating all the neurological, imaging and neurophysiological data of VAD patients. This is the main goal of this study. The 60 male Caucasians diagnosed with VAD were neurologically evaluated in extreme detail in order to systematically identify the most common and significant neurological disturbances in VAD. This population demonstrates cognitive changes (identified through psychological and neurophysiological studies (ERP P300)), vertigo and auditory changes, visual impairment, epilepsy, and cerebrovascular diseases. Neurological examination reveals pathological signs and reflexes, most commonly the palmo-mental reflex. A vascular pattern underlying the multifocal hyperintensities in T2 MR imaging, with predominant involvement of the small arteries of the white matter, is probably the visible organic substratum of the neurological picture. However, other pathophyisological mechanisms are involved in epileptic symptomatology.

  6. The diagnostic value of initial video-EEG monitoring in children--review of 1000 cases.

    Science.gov (United States)

    Asano, Eishi; Pawlak, Carol; Shah, Aashit; Shah, Jagdish; Luat, Aimee F; Ahn-Ewing, Judy; Chugani, Harry T

    2005-01-01

    We retrospectively reviewed the clinical utility of initial video-EEG monitoring in a series of 1000 children suspected of epileptic disorders. The ages of patients (523 boys and 477 girls) ranged from 1 month to 17 years (median age: 7 years). The mean length of stay was 1.5 days (range: 1-10 days). Outcomes were classified as: 'useful-epileptic' (successful classification of epilepsy), 'useful-nonepileptic' (demonstration of nonepileptic habitual events), 'uneventful' (normal EEG without habitual events captured), and 'inconclusive' (inability to clarify the nature of habitual events with abnormal interictal EEG findings). A total of 315 studies were considered 'useful-epileptic'; 219 'useful-nonepileptic'; 224 'uneventful'; 242 'inconclusive'. Longer monitoring was associated with higher rate of a study classified as 'useful-epileptic' in all age groups (Chi square test: pepilepsy were assigned a specific diagnosis of epilepsy syndrome according to the International League Against Epilepsy (ILAE) classification. We found only 22 children with ictal EEG showing a seizure onset purely originating from a unilateral temporal region. Video-EEG monitoring may fail to capture habitual episodes. To maximize the utility of studies in the future, a video-EEG monitoring longer than 3 days should be considered in selected children such as adolescences with habitual events occurring on a less than daily basis. We recognize a reasonable clinical utility of the current ILAE classification in the present study. It may not be common to identify children with pure unilateral temporal lobe epilepsy solely based on video-EEG monitoring.

  7. Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands

    Science.gov (United States)

    Deligianni, Fani; Centeno, Maria; Carmichael, David W.; Clayden, Jonathan D.

    2014-01-01

    Whole brain functional connectomes hold promise for understanding human brain activity across a range of cognitive, developmental and pathological states. So called resting-state (rs) functional MRI studies have contributed to the brain being considered at a macroscopic scale as a set of interacting regions. Interactions are defined as correlation-based signal measurements driven by blood oxygenation level dependent (BOLD) contrast. Understanding the neurophysiological basis of these measurements is important in conveying useful information about brain function. Local coupling between BOLD fMRI and neurophysiological measurements is relatively well defined, with evidence that gamma (range) frequency EEG signals are the closest correlate of BOLD fMRI changes during cognitive processing. However, it is less clear how whole-brain network interactions relate during rest where lower frequency signals have been suggested to play a key role. Simultaneous EEG-fMRI offers the opportunity to observe brain network dynamics with high spatio-temporal resolution. We utilize these measurements to compare the connectomes derived from rs-fMRI and EEG band limited power (BLP). Merging this multi-modal information requires the development of an appropriate statistical framework. We relate the covariance matrices of the Hilbert envelope of the source localized EEG signal across bands to the covariance matrices derived from rs-fMRI with the means of statistical prediction based on sparse Canonical Correlation Analysis (sCCA). Subsequently, we identify the most prominent connections that contribute to this relationship. We compare whole-brain functional connectomes based on their geodesic distance to reliably estimate the performance of the prediction. The performance of predicting fMRI from EEG connectomes is considerably better than predicting EEG from fMRI across all bands, whereas the connectomes derived in low frequency EEG bands resemble best rs-fMRI connectivity. PMID:25221467

  8. Removal of muscle artifacts from EEG recordings of spoken language production.

    Science.gov (United States)

    De Vos, Maarten; Vos, De Maarten; Riès, Stephanie; Vanderperren, Katrien; Vanrumste, Bart; Alario, Francois-Xavier; Van Huffel, Sabine; Huffel, Van Sabine; Burle, Boris

    2010-06-01

    Research on the neural basis of language processing has often avoided investigating spoken language production by fear of the electromyographic (EMG) artifacts that articulation induces on the electro-encephalogram (EEG) signal. Indeed, such articulation artifacts are typically much larger than the brain signal of interest. Recently, a Blind Source Separation technique based on Canonical Correlation Analysis was proposed to separate tonic muscle artifacts from continuous EEG recordings in epilepsy. In this paper, we show how the same algorithm can be adapted to remove the short EMG bursts due to articulation on every trial. Several analyses indicate that this method accurately attenuates the muscle contamination on the EEG recordings, providing to the neurolinguistic community a powerful tool to investigate the brain processes at play during overt language production.

  9. ERNN: a biologically inspired feedforward neural network to discriminate emotion from EEG signal.

    Science.gov (United States)

    Khosrowabadi, Reza; Quek, Chai; Ang, Kai Keng; Wahab, Abdul

    2014-03-01

    Emotions play an important role in human cognition, perception, decision making, and interaction. This paper presents a six-layer biologically inspired feedforward neural network to discriminate human emotions from EEG. The neural network comprises a shift register memory after spectral filtering for the input layer, and the estimation of coherence between each pair of input signals for the hidden layer. EEG data are collected from 57 healthy participants from eight locations while subjected to audio-visual stimuli. Discrimination of emotions from EEG is investigated based on valence and arousal levels. The accuracy of the proposed neural network is compared with various feature extraction methods and feedforward learning algorithms. The results showed that the highest accuracy is achieved when using the proposed neural network with a type of radial basis function.

  10. Acupuncture application for neurological disorders.

    Science.gov (United States)

    Lee, Hyangsook; Park, Hi-Joon; Park, Jongbae; Kim, Mi-Ja; Hong, Meesuk; Yang, Jongsoo; Choi, Sunmi; Lee, Hyejung

    2007-01-01

    Acupuncture has been widely used for a range of neurological disorders. Despite its popularity, the evidence to support the use of acupuncture is contradictory. This review was designed to summarize and to evaluate the available evidence of acupuncture for neurological disorders. Most of the reviewed studies suffer from lack of methodological rigor. Owing to paucity and poor quality of the primary studies, no firm conclusion could be drawn on the use of acupuncture for epilepsy, Alzheimer's disease, Parkinson's disease, ataxic disorders, multiple sclerosis, amyotrophic lateral sclerosis and spinal cord injury. For stroke rehabilitation, the evidence from recent high-quality trials and previous systematic reviews is not convincing. More rigorous trials are warranted to establish acupuncture's role in neurological disorders.

  11. Quality Metrics in Inpatient Neurology.

    Science.gov (United States)

    Dhand, Amar

    2015-12-01

    Quality of care in the context of inpatient neurology is the standard of performance by neurologists and the hospital system as measured against ideal models of care. There are growing regulatory pressures to define health care value through concrete quantifiable metrics linked to reimbursement. Theoretical models of quality acknowledge its multimodal character with quantitative and qualitative dimensions. For example, the Donabedian model distils quality as a phenomenon of three interconnected domains, structure-process-outcome, with each domain mutually influential. The actual measurement of quality may be implicit, as in peer review in morbidity and mortality rounds, or explicit, in which criteria are prespecified and systemized before assessment. As a practical contribution, in this article a set of candidate quality indicators for inpatient neurology based on an updated review of treatment guidelines is proposed. These quality indicators may serve as an initial blueprint for explicit quality metrics long overdue for inpatient neurology. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

  12. [Child neurology and multimedia technology].

    Science.gov (United States)

    Nihei, Kenji

    2002-01-01

    Methods of computer technology (intelligent technology, IT), such as multimedia and virtual reality, are utilized more and more in all medical fields including child neurology. Advances in the digitalization of individual medical data and multi-media technology have enabled patients to be able to obtain their own medical data by small media and to receive medical treatment at any hospitals even if they are located in distance place. Changes from a doctor oriented to patients oriented medicine is anticipated. It is necessary to store medical data from birth to adulthood and to accumulate epidemiological data of rare diseases such as metabolic diseases or degenerative diseases especially in child neurology, which highly require tele medicine and telecare at home. Moreover, IT may improve in the QOL of patients with neurological diseases and of their families. Cooperation of medicine and engineering is therefore necessary. Results of our experiments on telemedicine, telecare and virtual reality are described.

  13. EEG-fMRI neurofeedback of a motor imagery task

    OpenAIRE

    Perronnet, Lorraine; Lécuyer, Anatole; Mano, Marsel; Bannier, Elise; Lotte, Fabien; Clerc, Maureen; Barillot, Christian

    2016-01-01

    International audience; EEG-fMRI-neurofeedback(NF) has been introduced for the first time by Zotev et al [1]. The authors hypothesized that bimodal EEG-fMRI-NF could be more efficient than unimodal EEG-NF or fMRI-NF performed alone. A recent study identified the fMRI signature of motor imagery during EEG-NF [3]. However to our knowledge EEG-fMRI-NF, EEG-NF and fMRI-NF have never been compared before. In the present work, we propose an EEG-fMRI-NF protocol of a motor imagery (MI) task and comp...

  14. Caring for Patients With Intractable Neurological Diseases

    Directory of Open Access Journals (Sweden)

    Masako Nagase

    2014-08-01

    Full Text Available This is a qualitative descriptive study examining nurses’ attitudes about caring for patients with intractable neurological diseases, with a focus on dedication and conflicts. Semistructured interviews were conducted on 11 nurses with more than 5 years of clinical experience in addition to more than 3 years of experience in neurology wards. Senior nursing officers from each hospital selected the participants. In general, these nurses expressed distress over the inevitable progression of disease. Nurses talked about the “basis of dedication,” “conflicts with dedication,” “reorganization for maintaining dedication,” and “the reason for the change from conflict to commitment.” “Reorganization for maintaining dedication” meant that nurses were able to handle the prospect of rededicating themselves to their patients. Furthermore, “the reason for the change from conflict to commitment” referred to events that changed nurses’ outlooks on nursing care, their pride as nurses, or their learning experiences. They felt dedicated and conflicted both simultaneously and separately. While committing to their patients’ physical care, nurses were empowered to think positively and treat patients with dignity in spite of the care taking much time and effort, as well as entailing considerable risk.

  15. Adaptive filtering of ballistocardiogram artifact from EEG signals using the dilated discrete Hermite transform.

    Science.gov (United States)

    Mahadevan, Anandi; Mugler, Dale H; Acharya, Soumyadipta

    2008-01-01

    Electroencephalogram (EEG) signals, when recorded within the strong magnetic field of an MRI scanner are subject to various artifacts, of which the ballistocardiogram (BCG) is one of the prominent ones affecting the quality of the EEG. The BCG artifact varies slightly in shape and amplitude for every cardiac cycle making it difficult to identify and remove. This paper proposes a novel method for the identification and elimination of this artifact using the shape basis functions of the new dilated discrete Hermite transform. In this study, EEG data within and outside the scanner was recorded. On removal of the BCG artifact for the EEG data recorded within the scanner, a significant reduction in amplitude at the frequencies associated with the BCG artifact was observed. In order to quantitatively assess the efficacy of this method, BCG artifact templates were added to segments of EEG signals recorded outside the scanner. These signals, when filtered using the proposed method, had no significant difference (p0.05) from the original signals, indicating that the technique satisfactorily eliminates the BCG artifact and does not introduce any distortions in the original signal. The method is computationally efficient for real-time implementation.

  16. Reference-Free Removal of EEG-fMRI Ballistocardiogram Artifacts with Harmonic Regression

    Science.gov (United States)

    Krishnaswamy, Pavitra; Bonmassar, Giorgio; Poulsen, Catherine; Pierce, Eric T; Purdon, Patrick L.; Brown, Emery N.

    2016-01-01

    Combining electroencephalogram (EEG) recording and functional magnetic resonance imaging (fMRI) offers the potential for imaging brain activity with high spatial and temporal resolution. This potential remains limited by the significant ballistocardiogram (BCG) artifacts induced in the EEG by cardiac pulsation-related head movement within the magnetic field. We model the BCG artifact using a harmonic basis, pose the artifact removal problem as a local harmonic regression analysis, and develop an efficient maximum likelihood algorithm to estimate and remove BCG artifacts. Our analysis paradigm accounts for time-frequency overlap between the BCG artifacts and neurophysiologic EEG signals, and tracks the spatiotemporal variations in both the artifact and the signal. We evaluate performance on: simulated oscillatory and evoked responses constructed with realistic artifacts; actual anesthesia-induced oscillatory recordings; and actual visual evoked potential recordings. In each case, the local harmonic regression analysis effectively removes the BCG artifacts, and recovers the neurophysiologic EEG signals. We further show that our algorithm outperforms commonly used reference-based and component analysis techniques, particularly in low SNR conditions, the presence of significant time-frequency overlap between the artifact and the signal, and/or large spatiotemporal variations in the BCG. Because our algorithm does not require reference signals and has low computational complexity, it offers a practical tool for removing BCG artifacts from EEG data recorded in combination with fMRI. PMID:26151100

  17. Real-time segmentation of burst suppression patterns in critical care EEG monitoring.

    Science.gov (United States)

    Brandon Westover, M; Shafi, Mouhsin M; Ching, Shinung; Chemali, Jessica J; Purdon, Patrick L; Cash, Sydney S; Brown, Emery N

    2013-09-30

    Develop a real-time algorithm to automatically discriminate suppressions from non-suppressions (bursts) in electroencephalograms of critically ill adult patients. A real-time method for segmenting adult ICU EEG data into bursts and suppressions is presented based on thresholding local voltage variance. Results are validated against manual segmentations by two experienced human electroencephalographers. We compare inter-rater agreement between manual EEG segmentations by experts with inter-rater agreement between human vs automatic segmentations, and investigate the robustness of segmentation quality to variations in algorithm parameter settings. We further compare the results of using these segmentations as input for calculating the burst suppression probability (BSP), a continuous measure of depth-of-suppression. Automated segmentation was comparable to manual segmentation, i.e. algorithm-vs-human agreement was comparable to human-vs-human agreement, as judged by comparing raw EEG segmentations or the derived BSP signals. Results were robust to modest variations in algorithm parameter settings. Our automated method satisfactorily segments burst suppression data across a wide range adult ICU EEG patterns. Performance is comparable to or exceeds that of manual segmentation by human electroencephalographers. Automated segmentation of burst suppression EEG patterns is an essential component of quantitative brain activity monitoring in critically ill and anesthetized adults. The segmentations produced by our algorithm provide a basis for accurate tracking of suppression depth. Copyright © 2013 Elsevier B.V. All rights reserved.

  18. Neurological manifestation of colonic adenocarcinoma

    Directory of Open Access Journals (Sweden)

    Uzair Chaudhary

    2012-04-01

    Full Text Available Paraneoplastic neurologic disorders are extremely rare in cancer patients and are most commonly associated with certain tumors, such as ovarian cancer, small cell lung cancer, and breast cancer. We report here a paraneoplastic neurological syndrome in a 53-year-old man with colonic adenocarcinoma with a solitary liver metastasis. His paraneoplastic syndrome was successfully treated by methylprednisolone and primary oncologic therapies including neoadjuvant chemotherapy and definitive surgery. This is also the first documented case of simultaneous manifestation of a sensory neuropathy and limbic encephalitis with colon cancer.

  19. Neurological manifestations in Fabry's disease

    DEFF Research Database (Denmark)

    Møller, Anette Torvin; Jensen, Troels Staehelin

    2007-01-01

    . Neurological symptoms, such as burning sensations (occasionally accompanied by acroparesthesia) and stroke, are among the first to appear, and occur in both male and female patients. A delay in establishing the diagnosis of Fabry's disease can cause unnecessary problems, especially now that enzyme replacement...... treatment is available to prevent irreversible organ damage. Females with Fabry's disease who present with pain have often been ignored and misdiagnosed because of the disorder's X-linked inheritance. This Review will stress the importance of recognizing neurological symptoms for the diagnosis of Fabry...

  20. Sleep disorders in neurological practice

    Directory of Open Access Journals (Sweden)

    Mikhail Guryevich Poluektov

    2012-01-01

    Full Text Available Sleep disorders are closely associated with both nervous system diseases and mental disorders; however, such patients prefer to seek just neurological advice. Insomnia is the most common complaint in routine clinical practice. It is characterized by different impairments in sleep and daytime awakening. Obstructive sleep apnea syndrome is less common, but more clinically important because of its negative impact on the cardiovascular and nervous systems. The common neurological disorders are restless legs syndrome and REM sleep behavior disorder, as well as narcolepsy, the major manifestations of which are impaired nocturnal sleep and daytime awakening.

  1. Distribution entropy analysis of epileptic EEG signals.

    Science.gov (United States)

    Li, Peng; Yan, Chang; Karmakar, Chandan; Liu, Changchun

    2015-01-01

    It is an open-ended challenge to accurately detect the epileptic seizures through electroencephalogram (EEG) signals. Recently published studies have made elaborate attempts to distinguish between the normal and epileptic EEG signals by advanced nonlinear entropy methods, such as the approximate entropy, sample entropy, fuzzy entropy, and permutation entropy, etc. Most recently, a novel distribution entropy (DistEn) has been reported to have superior performance compared with the conventional entropy methods for especially short length data. We thus aimed, in the present study, to show the potential of DistEn in the analysis of epileptic EEG signals. The publicly-accessible Bonn database which consisted of normal, interictal, and ictal EEG signals was used in this study. Three different measurement protocols were set for better understanding the performance of DistEn, which are: i) calculate the DistEn of a specific EEG signal using the full recording; ii) calculate the DistEn by averaging the results for all its possible non-overlapped 5 second segments; and iii) calculate it by averaging the DistEn values for all the possible non-overlapped segments of 1 second length, respectively. Results for all three protocols indicated a statistically significantly increased DistEn for the ictal class compared with both the normal and interictal classes. Besides, the results obtained under the third protocol, which only used very short segments (1 s) of EEG recordings showed a significantly (p entropy algorithm. The capability of discriminating between the normal and interictal EEG signals is of great clinical relevance since it may provide helpful tools for the detection of a seizure onset. Therefore, our study suggests that the DistEn analysis of EEG signals is very promising for clinical and even portable EEG monitoring.

  2. Genetic analysis in neurology: the next 10 years.

    Science.gov (United States)

    Pittman, Alan; Hardy, John

    2013-06-01

    In recent years, neurogenetics research had made some remarkable advances owing to the advent of genotyping arrays and next-generation sequencing. These improvements to the technology have allowed us to determine the whole-genome structure and its variation and to examine its effect on phenotype in an unprecedented manner. The identification of rare disease-causing mutations has led to the identification of new biochemical pathways and has facilitated a greater understanding of the etiology of many neurological diseases. Furthermore, genome-wide association studies have provided information on how common genetic variability impacts on the risk for the development of various complex neurological diseases. Herein, we review how these technological advances have changed the approaches being used to study the genetic basis of neurological disease and how the research findings will be translated into clinical utility.

  3. PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction

    Directory of Open Access Journals (Sweden)

    Forrest Sheng Bao

    2011-01-01

    Full Text Available 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.

  4. The neurophysiological bases of EEG and EEG measurement: a review for the rest of us.

    Science.gov (United States)

    Jackson, Alice F; Bolger, Donald J

    2014-11-01

    A thorough understanding of the EEG signal and its measurement is necessary to produce high quality data and to draw accurate conclusions from those data. However, publications that discuss relevant topics are written for divergent audiences with specific levels of expertise: explanations are either at an abstract level that leaves readers with a fuzzy understanding of the electrophysiology involved, or are at a technical level that requires mastery of the relevant physics to understand. A clear, comprehensive review of the origin and measurement of EEG that bridges these high and low levels of explanation fills a critical gap in the literature and is necessary for promoting better research practices and peer review. The present paper addresses the neurophysiological source of EEG, propagation of the EEG signal, technical aspects of EEG measurement, and implications for interpretation of EEG data. Copyright © 2014 Society for Psychophysiological Research.

  5. EEG

    African Journals Online (AJOL)

    2017-09-03

    Sep 3, 2017 ... Epilepsia 2014; 55 (3):442-447. Doi: 10.1111/ epi.12531. 16. Ahmed MH, Obembe A. Electroencephalographic abnormalities in 351 Nigerians with epilepsy. West Afr J. Med. 1991; 10(3-4): 216-21. 17. Shrestha R, Pradhan SN, Sharma SC, Shakya KN,. Karki DB, Rana BB, et al. A study of of the first 350.

  6. Analysis of Small Muscle Movement Effects on EEG Signals

    Science.gov (United States)

    2016-12-22

    2007). Large muscle movements, as well as neck, jaw, tongue and shoulder movements are known to generate disruptive artifacts in EEG signals, which...movements of eyes, neck and shoulders and EEG, little is known about hand and finger effects on EEG signal. Large muscle movement artifacts and ocular...solving Gamma 30 Hz and higher Blending of multiple brain functions ; Muscle related artifacts 2.2. EEG Artifacts EEG recordings are intended to

  7. Analyzing Electroencephalogram Signal Using EEG Lab

    Directory of Open Access Journals (Sweden)

    Mukesh BHARDWAJ

    2009-01-01

    Full Text Available The EEG is composed of electrical potentials arising from several sources. Each source (including separate neural clusters, blink artifact or pulse artifact forms a unique topography onto the scalp – ‘scalp map‘. Scalp map may be 2-D or 3-D.These maps are mixed according to the principle of linear superposition. Independent component analysis (ICA attempts to reverse the superposition by separating the EEG into mutually independent scalp maps, or components. MATLAB toolbox and graphic user interface, EEGLAB is used for processing EEG data of any number of channels. Wavelet toolbox has been used for 2-D signal analysis.

  8. Correlation of Neuromarketing to Neurology

    Science.gov (United States)

    Gupta, Ashutosh; Shreyam, Richa; Garg, Ridhi; Sayed, Tabassum

    2017-08-01

    The aim of this research work is to identify the most preferred brand of soap in New Delhi through wireless EEG signal through Neuromarketing. A group of four major soap brand advertisements i.e. Pears, Lux, Cinthol and Dove are considered for this research. The advertisement (video) of above these brands are used to stimulate the subjects (9 male and 9 female with age range of 22-30 years) The brain signal responses for the stimuli were collected using a 14 channel wireless headset with a sampling frequency of 128 Hz. The acquired signals are preprocessed using fourth order Butterworth band pass filter. Then feature extraction is done to extract desired features from the EEG signal. The mean value and then power of mean value of each soap brand is calculated. The frequency spectrum of above soap brands is obtained through time-frequency analysis using Short Time Fourier Transform (STFT). The results so obtained are plotted in graphs for final analysis. The present experimental results are analyzed and it is indicated that the subjects are mostly inspired on Dove brand of soap compared to other brands.

  9. Neurological assessment of 38 late-diagnosed children with classic phenylketonuria

    Directory of Open Access Journals (Sweden)

    Zeliha Haytoglu

    2016-03-01

    Material and Methods: Thirty-eight late-diagnosed classic phenylketonuria patients were enrolled in the study. Plasma phenylalanine levels were measured by spectrofluorometric method. MRI was evaluated by a pediatric neuroradiologist. Ankara developmental screening inventory (ADSI and Wechsler intelligence scale for Turkish children (WISC-R test were performed to detect IQ scores. Porteus Mazo test adapted for Turkish children intelligence test were performed to all children. The EEG of all patients were recorded. VEP was used to measure the electrical activity in the brain to visual stimulus. Results: The high plasma phenylalanine levels and late-diagnosis were associated with low IQ scores, pathological EEG, and pathological VEP patterns. High PA levels were also associated with more serious white matter signal abnormalities. Conclusion: Our results demonstrated the impact of early diagnosis and low levels of phenylalanine at diagnosis on the intellectual, neurological development and visual outcomes. [Cukurova Med J 2016; 41(1.000: 21-27

  10. Biogas plants in EEG. 3. new rev. and enl. ed.; Biogasanlagen im EEG

    Energy Technology Data Exchange (ETDEWEB)

    Loibl, Helmut; Maslaton, Martin; Bredow, Hartwig von; Walter, Rene (eds.)

    2013-06-01

    EEG 2012 is a complete revision for new EEG plants whereby the previous requirements of the EEG 2009 can be maintained for the existing plants. The authors of the book under consideration fully focus on the splitting into two different legal systems and the implications. It describes possibilities of solution for problems from the daily practice. The book provides a complete commentation of the biomass ordinance as well as the statements on the connection to the gas grid of biomethane plants.

  11. Edgar Allan Poe and neurology

    Directory of Open Access Journals (Sweden)

    Hélio Afonso Ghizoni Teive

    2014-06-01

    Full Text Available Edgar Allan Poe was one of the most celebrated writers of all time. He published several masterpieces, some of which include references to neurological diseases. Poe suffered from recurrent depression, suggesting a bipolar disorder, as well as alcohol and drug abuse, which in fact led to his death from complications related to alcoholism. Various hypotheses were put forward, including Wernicke's encephalopathy.

  12. Edgar Allan Poe and neurology.

    Science.gov (United States)

    Teive, Hélio Afonso Ghizoni; Paola, Luciano de; Munhoz, Renato Puppi

    2014-06-01

    Edgar Allan Poe was one of the most celebrated writers of all time. He published several masterpieces, some of which include references to neurological diseases. Poe suffered from recurrent depression, suggesting a bipolar disorder, as well as alcohol and drug abuse, which in fact led to his death from complications related to alcoholism. Various hypotheses were put forward, including Wernicke's encephalopathy.

  13. Proprioceptive reflexes and neurological disorders

    NARCIS (Netherlands)

    Schouten, A.C.

    2004-01-01

    Proprioceptive reflexes play an important role during the control of movement and posture. Disturbed modulation of proprioceptive reflexes is often suggested as the cause for the motoric features present in neurological disorders. In this thesis methods are developed and evaluated to quantify

  14. [Neurology in medieval regimina sanitatis].

    Science.gov (United States)

    de Frutos González, V; Guerrero Peral, A L

    2011-09-01

    In medical medieval literature some works about dietetics stand out. Dietetics, as a separate branch of medicine, includes not only food or drinks, but other environmental factors influencing on health. They are known as regimina sanitatis or salutis, and specially developed in the Christian west. They generally consisted of a balance between the Galenic "six non-natural things"; factors regulating health and its protection: environment, exercise, food, sleep, bowel movements and emotions. After reviewing the sources and defining the different stages of this genre, we have considered three of the most out-standing medieval regimina, the anonymous Regimen sanitatis salernitanum, Arnaldo de Vilanova's Regimen sanitatis ad regem aragonum and Bernardo de Gordon's Tractatus of conservatione vite humane. In them we review references to neurological disease. Though not independently considered, there is a significant presence of neurological diseases in the regimina. Dietetics measures are proposed to preserve memory, nerves, or hearing, as well as for the treatment of migraine, epilepsy, stroke or dizziness. Regimina are quiet representative among medical medieval literature, and they show medieval physicians vision of neurological diseases. Dietetics was considered useful to preserve health, and therapeutics was based on natural remedies. 2010 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  15. Education Research: Neurology training reassessed

    Science.gov (United States)

    Maas, Matthew B.; Coleman, Mary; Jozefowicz, Ralph; Engstrom, John

    2012-01-01

    Objective: To assess the strengths and weaknesses of neurology resident education using survey methodology. Methods: A 27-question survey was sent to all neurology residents completing residency training in the United States in 2011. Results: Of eligible respondents, 49.8% of residents returned the survey. Most residents believed previously instituted duty hour restrictions had a positive impact on resident quality of life without impacting patient care. Most residents rated their faculty and clinical didactics favorably. However, many residents reported suboptimal preparation in basic neuroscience and practice management issues. Most residents (71%) noted that the Residency In-service Training Examination (RITE) assisted in self-study. A minority of residents (14%) reported that the RITE scores were used for reasons other than self-study. The vast majority (86%) of residents will enter fellowship training following residency and were satisfied with the fellowship offers they received. Conclusions: Graduating residents had largely favorable neurology training experiences. Several common deficiencies include education in basic neuroscience and clinical practice management. Importantly, prior changes to duty hours did not negatively affect the resident perception of neurology residency training. PMID:23091077

  16. International electives in neurology training

    Science.gov (United States)

    Lyons, Jennifer L.; Coleman, Mary E.; Engstrom, John W.

    2014-01-01

    Objective: To ascertain the current status of global health training and humanitarian relief opportunities in US and Canadian postgraduate neurology programs. Background: There is a growing interest among North American trainees to pursue medical electives in low- and middle-income countries. Such training opportunities provide many educational and humanitarian benefits but also pose several challenges related to organization, human resources, funding, and trainee and patient safety. The current support and engagement of neurology postgraduate training programs for trainees to pursue international rotations is unknown. Methods: A survey was distributed to all program directors in the United States and Canada (December 2012–February 2013) through the American Academy of Neurology to assess the training opportunities, institutional partnerships, and support available for international neurology electives. Results: Approximately half of responding programs (53%) allow residents to pursue global health–related electives, and 11% reported that at least 1 trainee participated in humanitarian relief during training (survey response rate 61%, 143/234 program directors). Canadian programs were more likely to allow residents to pursue international electives than US programs (10/11, 91% vs 65/129, 50%, p = 0.023). The number of trainees participating in international electives was low: 0%–9% of residents (55% of programs) and 10%–19% of residents (21% of programs). Lack of funding was the most commonly cited reason for residents not participating in global health electives. If funding was available, 93% of program directors stated there would be time for residents to participate. Most program directors (75%) were interested in further information on global health electives. Conclusions: In spite of high perceived interest, only half of US neurology training programs include international electives, mostly due to a reported lack of funding. By contrast, the majority

  17. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI

    Science.gov (United States)

    Steyrl, David; Krausz, Gunther; Koschutnig, Karl; Edlinger, Günter; Müller-Putz, Gernot R.

    2017-04-01

    Objective. Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) combines advantages of both methods, namely high temporal resolution of EEG and high spatial resolution of fMRI. However, EEG quality is limited due to severe artifacts caused by fMRI scanners. Approach. To improve EEG data quality substantially, we introduce methods that use a reusable reference layer EEG cap prototype in combination with adaptive filtering. The first method, reference layer adaptive filtering (RLAF), uses adaptive filtering with reference layer artifact data to optimize artifact subtraction from EEG. In the second method, multi band reference layer adaptive filtering (MBRLAF), adaptive filtering is performed on bandwidth limited sub-bands of the EEG and the reference channels. Main results. The results suggests that RLAF outperforms the baseline method, average artifact subtraction, in all settings and also its direct predecessor, reference layer artifact subtraction (RLAS), in lower (<35 Hz) frequency ranges. MBRLAF is computationally more demanding than RLAF, but highly effective in all EEG frequency ranges. Effectivity is determined by visual inspection, as well as root-mean-square voltage reduction and power reduction of EEG provided that physiological EEG components such as occipital EEG alpha power and visual evoked potentials (VEP) are preserved. We demonstrate that both, RLAF and MBRLAF, improve VEP quality. For that, we calculate the mean-squared-distance of single trial VEP to the mean VEP and estimate single trial VEP classification accuracies. We found that the average mean-squared-distance is lowest and the average classification accuracy is highest after MBLAF. RLAF was second best. Significance. In conclusion, the results suggests that RLAF and MBRLAF are potentially very effective in improving EEG quality of simultaneous EEG-fMRI. Highlights We present a new and reusable reference layer cap prototype for simultaneous EEG-fMRI We

  18. Non-expert use of quantitative EEG displays for seizure identification in the adult neuro-intensive care unit.

    Science.gov (United States)

    Dericioglu, Nese; Yetim, Ezgi; Bas, Demet Funda; Bilgen, Nuray; Caglar, Gulsen; Arsava, Ethem Murat; Topcuoglu, Mehmet Akif

    2015-01-01

    Video-EEG monitoring is the ultimate way to diagnose non-convulsive status epilepticus (NCSE) in intensive care units (ICU). Usually EEG recordings are evaluated once a day by an electrophysiologist, which may lead to delay in diagnosis. Digital EEG trend analysis methods like amplitude integrated EEG (aEEG) and density spectral array (DSA) have been developed to facilitate recognition of seizures. In this study, we aimed to investigate the diagnostic utility of these methods by non-expert physicians and ICU nurses for NCSE identification in an adult neurological ICU. Ten patients with NCSE and ten control patients without seizures were included in the study. The raw EEG recordings of all subjects were converted to both aEEG and DSA and displayed simultaneously without conventional EEG. After training for seizure recognition with both methods, two physicians and two nurses analyzed the visual displays individually, and marked seizure timings. Their results were compared with those of a study epileptologist. Participants analyzed 615h of EEG data with 700 seizures. Overall, 63% of the seizures were recognized by all, 15.6% by three, 11.6% by two, 8.3% by one rater and only 1.5% were missed by all of them (sensitivity was 88-99%, and specificity was 89-95% when the ratings were assessed as 1-h epochs). False positive rates were 1 per 2h in the study and 1 per 6h in the control groups. Interrater agreement was high (κ=0.79-0.81). Bilateral independent seizures and ictal recordings with lower amplitude and shorter duration were more likely to be missed. There was no difference in performance between the rating of physicians and nurses. Our study demonstrates that bedside nurses, ICU fellows and residents can achieve acceptable level of accuracy for seizure identification using the digital EEG trend analysis methods following brief training. This may help earlier notification of the electrophysiologist who is not always available in ICUs. Copyright © 2014 Elsevier B

  19. Dissociable Decoding of Spatial Attention and Working Memory from EEG Oscillations and Sustained Potentials.

    Science.gov (United States)

    Bae, Gi-Yeul; Luck, Steven J

    2017-11-22

    In human scalp EEG recordings, both sustained potentials and alpha-band oscillations are present during the delay period of working memory tasks and may therefore reflect the representation of information in working memory. However, these signals may instead reflect support mechanisms rather than the actual contents of memory. In particular, alpha-band oscillations have been tightly tied to spatial attention and may not reflect location-independent memory representations per se. To determine how sustained and oscillating EEG signals are related to attention and working memory, we attempted to decode which of 16 orientations was being held in working memory by human observers (both women and men). We found that sustained EEG activity could be used to decode the remembered orientation of a stimulus, even when the orientation of the stimulus varied independently of its location. Alpha-band oscillations also carried clear information about the location of the stimulus, but they provided little or no information about orientation independently of location. Thus, sustained potentials contain information about the object properties being maintained in working memory, consistent with previous evidence of a tight link between these potentials and working memory capacity. In contrast, alpha-band oscillations primarily carry location information, consistent with their link to spatial attention.Significance StatementWorking memory plays a key role in cognition, and working memory is impaired in several neurological and psychiatric disorders. Previous research has suggested that human scalp EEG recordings contain signals that reflect the neural representation of information in working memory. However, to conclude that a neural signal actually represents the object being remembered, it is necessary to show that the signal contains fine-grained information about that object. Here, we show that sustained voltages in human EEG recordings contain fine-grained information about the

  20. EEG signal classification using PSO trained RBF neural network for epilepsy identification

    Directory of Open Access Journals (Sweden)

    Sandeep Kumar Satapathy

    Full Text Available The electroencephalogram (EEG is a low amplitude signal generated in the brain, as a result of information flow during the communication of several neurons. Hence, careful analysis of these signals could be useful in understanding many human brain disorder diseases. One such disease topic is epileptic seizure identification, which can be identified via a classification process of the EEG signal after preprocessing with the discrete wavelet transform (DWT. To classify the EEG signal, we used a radial basis function neural network (RBFNN. As shown herein, the network can be trained to optimize the mean square error (MSE by using a modified particle swarm optimization (PSO algorithm. The key idea behind the modification of PSO is to introduce a method to overcome the problem of slow searching in and around the global optimum solution. The effectiveness of this procedure was verified by an experimental analysis on a benchmark dataset which is publicly available. The result of our experimental analysis revealed that the improvement in the algorithm is significant with respect to RBF trained by gradient descent and canonical PSO. Here, two classes of EEG signals were considered: the first being an epileptic and the other being non-epileptic. The proposed method produced a maximum accuracy of 99% as compared to the other techniques. Keywords: Electroencephalography, Radial basis function neural network, Particle swarm optimization, Discrete wavelet transform, Machine learning

  1. Research of brain activation regions of "yes" and "no" responses by auditory stimulations in human EEG

    Science.gov (United States)

    Hu, Min; Liu, GuoZhong

    2011-11-01

    People with neuromuscular disorders are difficult to communicate with the outside world. It is very important to the clinician and the patient's family that how to distinguish vegetative state (VS) and minimally conscious state (MCS) for a disorders of consciousness (DOC) patient. If a patient is diagnosed with VS, this means that the hope of recovery is greatly reduced, thus leading to the family to abandon the treatment. Brain-computer interface (BCI) is aiming to help those people by analyzing patients' electroencephalogram (EEG). This paper focus on analyzing the corresponding activated regions of the brain when a subject responses "yes" or "no" to an auditory stimuli question. When the brain concentrates, the phase of the related area will become orderly from desultorily. So in this paper we analyzed EEG from the angle of phase. Seven healthy subjects volunteered to participate in the experiment. A total of 84 groups of repeatability stimulation test were done. Firstly, the frequency is fragmented by using wavelet method. Secondly, the phase of EEG is extracted by Hilbert. At last, we obtained approximate entropy and information entropy of each frequency band of EEG. The results show that brain areas are activated of the central area when people say "yes", and the areas are activated of the central area and temporal when people say "no". This conclusion is corresponding to magnetic resonance imaging technology. This study provides the theory basis and the algorithm design basis for designing BCI equipment for people with neuromuscular disorders.

  2. Recognition of Words from the EEG Laplacian

    CERN Document Server

    de Barros, J Acacio; de Mendonça, J P R F; Suppes, P

    2012-01-01

    Recent works on the relationship between the electro-encephalogram (EEG) data and psychological stimuli show that EEG recordings can be used to recognize an auditory stimulus presented to a subject. The recognition rate is, however, strongly affected by technical and physiological artifacts. In this work, subjects were presented seven auditory simuli in the form of English words (first, second, third, left, right, yes, and no), and the time-locked electric field was recorded with a 64 channel Neuroscan EEG system. We used the surface Laplacian operator to eliminate artifacts due to sources located at regions far from the electrode. Our intent with the Laplacian was to improve the recognition rates of auditory stimuli from the electric field. To compute the Laplacian, we used a spline interpolation from spherical harmonics. The EEG Laplacian of the electric field were average over trials for the same auditory stimulus, and with those averages we constructed prototypes and test samples. In addition to the Lapla...

  3. Correlation between intra- and extracranial background EEG

    DEFF Research Database (Denmark)

    Duun-Henriksen, Jonas; Kjaer, Troels Wesenberg; Madsen, Rasmus Elsborg

    2012-01-01

    Scalp EEG is the most widely used modality to record the electrical signals of the brain. It is well known that the volume conduction of these brain waves through the brain, cerebrospinal fluid, skull and scalp reduces the spatial resolution and the signal amplitude. So far the volume conduction...... has primarily been investigated by realistic head models or interictal spike analysis. We have set up a novel and more realistic experiment that made it possible to compare the information in the intra- and extracranial EEG. We found that intracranial EEG channels contained correlated patterns when...... placed less than 30 mm apart, that intra- and extracranial channels were partly correlated when placed less than 40 mm apart, and that extracranial channels probably were correlated over larger distances. The underlying cortical area that influences the extracranial EEG is found to be up to 45 cm2...

  4. Amplitude-Integrated EEG in the Newborn

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2008-11-01

    Full Text Available Th value of amplitude-integrated electroencephalography (aEEG in the newborn is explored by researchers at Washington University, St Louis; Wilhelmina Children’s Hospital, Utrecht, Netherlands; and Uppsala University Hospital, Sweden.

  5. Automatic sleep monitoring using ear-EEG

    OpenAIRE

    ,

    2017-01-01

    The monitoring of sleep patterns without patient’s inconvenience or involvement of a medical specialist is a clinical question of significant importance. To this end, we propose an automatic sleep stage monitoring system based on an affordable, unobtrusive, discreet, and long-term wearable in-ear sensor for recording the electroencephalogram (ear-EEG). The selected features for sleep pattern classification from a single ear-EEG channel include the spectral edge frequency and multi-scale fuzzy...

  6. EEG Correlates of Ten Positive Emotions

    OpenAIRE

    Hu, Xin; Yu, Jianwen; Song, Mengdi; Yu, Chun; Wang, Fei; Sun, Pei; Wang, Daifa; Zhang, Dan

    2017-01-01

    Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for th...

  7. Connectivity measures in EEG microstructural sleep elements

    Directory of Open Access Journals (Sweden)

    Dimitris eSakellariou

    2016-02-01

    Full Text Available During Non-Rapid Eye Movement sleep (NREM the brain is relatively disconnected from the environment, while connectedness between brain areas is also decreased. Evidence indicates that these dynamic connectivity changes are delivered by microstructural elements of sleep: short periods of environmental stimuli evaluation followed by sleep promoting procedures. The connectivity patterns of the latter, among other aspects of sleep microstructure, are still to be fully elucidated.We suggest here a methodology for the assessment and investigation of the connectivity patterns of EEG microstructural elements, such as sleep spindles. The methodology combines techniques in the preprocessing, estimation, error assessing and visualization of results levels in order to allow the detailed examination of the connectivity aspects (levels and directionality of information flow over frequency and time with notable resolution, while dealing with the volume conduction and EEG reference assessment. The high temporal and frequency resolution of the methodology will allow the association between the microelements and the dynamically forming networks that characterise them, and consequently possibly reveal aspects of the EEG microstructure. The proposed methodology is initially tested on artificially generated signals for proof of concept and subsequently applied to real EEG recordings via a custom built MATLAB-based tool developed for such studies. Preliminary results from 843 fast sleep spindles recorded in whole night sleep of 5 healthy volunteers indicate a prevailing pattern of interactions between centroparietal and frontal regions.We demonstrate hereby an opening to our knowledge attempt to estimate the scalp EEG connectivity that characterizes fast sleep spindles via an EEG-element connectivity methodology we propose. The application of the latter, via a computational tool we developed suggests it is able to investigate the connectivity patterns related to the

  8. EEG Signal Classification: Introduction to the Problem

    OpenAIRE

    A. Stancak; P. Sovka; J. Stastny

    2003-01-01

    The contribution describes the design, optimization and verification of the off-line single-trial movement classification system. Four types of movements are used for the classification: the right index finger extension vs. flexion as well as the right shoulder (proximal) vs. right index finger (distal) movement. The classification system utilizes hidden information stored in the characteristic shapes of human brain activity (EEG signal). The great variability of EEG potentials requires using...

  9. [Neurologic aspects of HIV infections--follow-up of pediatric patients].

    Science.gov (United States)

    Kollár, Katalin; Jelenik, Zsuzsanna; Hegelsberger, Edit

    2003-11-20

    Before the widespread introduction of combined antiretroviral therapy (1995) complications from HIV and AIDS in the central nervous system had been reported in larger proportion in infants and children than in adults: 80-90% versus 60-70%. Particular clinical manifestations tend to occur at different stages during the evolution of HIV infection. The authors review the neurological aspects of HIV infection. First, a summary of the protocol of the neurological examinations and related experience is given. Then authors present the evaluation of neuro-psychological development, prevalence of neurological impairment and neuro-imaging of nine HIV infected children (seven boys, two girls) for the period of ten years (1991-2001). Three/ten children had vertically transmitted HIV six/nine were infected by a nosocomial route in their early childhood. Children were regularly followed up from the diagnosis of HIV. The median follow up time has been 79 month (range: 18-144 month). Four patients died during the study period. The neurological status, the motor and mental development were examined at three month intervals or monthly under one year of age. EEG was performed every six month and CT/MRI once a year. All patients received combined antiretroviral treatment and immunoglobulin therapy continuously. Three/nine children have normal development, one/nine has hyperactive and attention deficit disorder with normal IQ range, two/nine have slight, one/nine moderate and two/nine serious mental retardation. Mild neurological signs were found in two children, various moderate and serious neuro/psychological symptoms were found in four patients, one of them was treated with benign epilepsy too. There was also dose correlation between the clinical symptoms and the results of EEG examination (diffuse background slowing) and results of neuroimaging studies (cortical atrophy, calcification of the basal ganglia, toxoplasma abscesses). According to the results of different examinations

  10. Contemporary approach to neurologic prognostication of coma after cardiac arrest.

    Science.gov (United States)

    Ben-Hamouda, Nawfel; Taccone, Fabio S; Rossetti, Andrea O; Oddo, Mauro

    2014-11-01

    Coma after cardiac arrest (CA) is an important cause of admission to the ICU. Prognosis of post-CA coma has significantly improved over the past decade, particularly because of aggressive postresuscitation care and the use of therapeutic targeted temperature management (TTM). TTM and sedatives used to maintain controlled cooling might delay neurologic reflexes and reduce the accuracy of clinical examination. In the early ICU phase, patients' good recovery may often be indistinguishable (based on neurologic examination alone) from patients who eventually will have a poor prognosis. Prognostication of post-CA coma, therefore, has evolved toward a multimodal approach that combines neurologic examination with EEG and evoked potentials. Blood biomarkers (eg, neuron-specific enolase [NSE] and soluble 100-β protein) are useful complements for coma prognostication; however, results vary among commercial laboratory assays, and applying one single cutoff level (eg, > 33 μg/L for NSE) for poor prognostication is not recommended. Neuroimaging, mainly diffusion MRI, is emerging as a promising tool for prognostication, but its precise role needs further study before it can be widely used. This multimodal approach might reduce false-positive rates of poor prognosis, thereby providing optimal prognostication of comatose CA survivors. The aim of this review is to summarize studies and the principal tools presently available for outcome prediction and to describe a practical approach to the multimodal prognostication of coma after CA, with a particular focus on neuromonitoring tools. We also propose an algorithm for the optimal use of such multimodal tools during the early ICU phase of post-CA coma.

  11. EEG recorded from the ear: Characterizing the ear-EEG method

    Directory of Open Access Journals (Sweden)

    Kaare Bjarke Mikkelsen

    2015-11-01

    Full Text Available A method for measuring electroencephalograms (EEG from the outer ear, so-called ear-EEG, has recently been proposed. The method could potentially enable robust recording of EEG in natural environments. The objective of this study was to substantiate the ear-EEG method by using a larger population of subjects and several paradigms. For rigour, we considered simultaneous scalp and ear-EEG recordings with common reference. More precisely, 32 conventional scalp electrodes and 12 ear electrodes allowed a thorough comparison between conventional and ear electrodes, testing several different placements of references.The paradigms probed of auditory onset response, mismatch negativity, auditory steady state response and alpha power attenuation.By comparing event related potential (ERP waveforms from the mismatch response paradigm, the signal measured from the ear electrodes was found to reflect the same cortical activity as that from nearby scalp electrodes. It was also found that referencing the ear-EEG electrodes to another within-ear electrode affects the time-domain recorded waveform (relative to scalp recordings, but not the timing of individual components. It was furthermore found that auditory steady state responses and alpha-band modulation were measured reliably with the ear-EEG modality. Finally, our findings showed that the auditory mismatch response was difficult to monitor with the ear-EEG. We conclude that ear-EEG yields similar performance as conventional EEG for spectrogram-based analysis, similar timing of ERP components, and equal signal strength for sources close to the ear. Ear-EEG can reliably measure activity from regions of the cortex which are located close to the ears, especially in paradigms employing frequency-domain analyses.

  12. Neurologic manifestations of hypothyroidism in dogs.

    Science.gov (United States)

    Bertalan, Abigail; Kent, Marc; Glass, Eric

    2013-03-01

    Hypothyroidism is a common endocrine disease in dogs. A variety of clinicopathologic abnormalities may be present; however, neurologic deficits are rare. In some instances, neurologic deficits may be the sole manifestation of hypothyroidism. Consequent ly, the diagnosis and management of the neurologic disorders associated with hypothyroidism can be challenging. This article describes several neurologic manifestations of primary hypothyroidism in dogs; discusses the pathophysiology of hypothyroidism-induced neurologic disorders affecting the peripheral and central nervous systems; and reviews the evidence for the neurologic effects of hypothyroidism.

  13. The child neurology clinical workforce in 2015: Report of the AAP/CNS Joint Taskforce.

    Science.gov (United States)

    Kang, Peter B; Bale, James F; Mintz, Mark; Joshi, Sucheta M; Gilbert, Donald L; Radabaugh, Carrie; Ruch-Ross, Holly

    2016-09-27

    More than a decade has passed since the last major workforce survey of child neurologists in the United States; thus, a reassessment of the child neurology workforce is needed, along with an inaugural assessment of a new related field, neurodevelopmental disabilities. The American Academy of Pediatrics and the Child Neurology Society conducted an electronic survey in 2015 of child neurologists and neurodevelopmental disabilities specialists. The majority of respondents participate in maintenance of certification, practice in academic medical centers, and offer subspecialty care. EEG reading and epilepsy care are common subspecialty practice areas, although many child neurologists have not had formal training in this field. In keeping with broader trends, medical school debts are substantially higher than in the past and will often take many years to pay off. Although a broad majority would choose these fields again, there are widespread dissatisfactions with compensation and benefits given the length of training and the complexity of care provided, and frustrations with mounting regulatory and administrative stresses that interfere with clinical practice. Although not unique to child neurology and neurodevelopmental disabilities, such issues may present barriers for the recruitment of trainees into these fields. Creative approaches to enhance the recruitment of the next generation of child neurologists and neurodevelopmental disabilities specialists will benefit society, especially in light of all the exciting new treatments under development for an array of chronic childhood neurologic disorders. © 2016 American Academy of Neurology.

  14. Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impairment

    OpenAIRE

    Wen, Dong; Jia, Peilei; Lian, Qiusheng; Zhou, Yanhong; LU, CHENGBIAO

    2016-01-01

    At present, the sparse representation-based classification (SRC) has become an important approach in electroencephalograph (EEG) signal analysis, by which the data is sparsely represented on the basis of a fixed dictionary or learned dictionary and classified based on the reconstruction criteria. SRC methods have been used to analyze the EEG signals of epilepsy, cognitive impairment and brain computer interface (BCI), which made rapid progress including the improvement in computational accura...

  15. Neurological manifestations of calcific aortic stenosis

    Directory of Open Access Journals (Sweden)

    I. V. Egorov

    2014-01-01

    Full Text Available Despite being thoroughly studied, senile aortic stenosis (AS remains a disease that is frequently underestimated by Russian clinicians. Meanwhile, its manifestations can not only deteriorate quality of life in patients, but can also be poor prognostic signs. The most common sequels of this disease include heart failure and severe arrhythmias. However, there may be also rare, but no less dangerous complications: enteric bleeding associated with common dysembriogenetic backgrounds, infarctions of various organs, the basis for which is spontaneous calcium embolism, and consciousness loss episodes. The latter are manifestations of cardiocerebral syndrome. Apart from syncope, embolic stroke may develop within this syndrome. There is evidence that after syncope occurs, life expectancy averages 3 years. Global practice is elaborating approaches to the intracardiac calcification prevention based on the rapid development of new pathogenetic ideas on this disease. In particular, it is clear that valvular calcification is extraskeletal leaflet ossification rather than commonplace impregnation with calcium salts, i.e. the case in point is the reverse of osteoporosis. This is the basis for a new concept of drug prevention of both calcification and the latter-induced heart disease. But the view of senile AS remains more than conservative in Russia. The paper describes a clinical case of a rare complication as cerebral calcium embolism and discusses the nature of neurological symptoms of the disease, such as vertigo and syncope.

  16. [Application of psychophysics to neurology].

    Science.gov (United States)

    Koyama, Shinichi

    2008-04-01

    Although psychophysics has already been used in many neurological evaluations including the visual and hearing tests, the use of psychophysics has been limited to the evaluation of sensory disorders. In this review paper, however, the author introduced recent attempts to apply psychophysics to the evaluation of higher cognitive functions such as perception of scenes and facial expressions. Psychophysics was also used to measure visual hypersensitivity in a patient with migraine. The benefits of the use of psychophysics in neurological and neuropsychological settings would be as follows. (1) We can evaluate higher cognitive functions quantitatively. (2) We can measure performance both above and below the normal range by the same method. (3) We can use the same stimulus and task as other research areas such as neuroscience and neuroimaging, and compare results between research areas.

  17. Neurological diseases in famous painters.

    Science.gov (United States)

    Piechowski-Jozwiak, Bartlomiej; Bogousslavsky, Julien

    2013-01-01

    Visual art production involves multiple processes including basic motor skills, such as coordination of movements, visual-spatial processing, emotional output, sociocultural context, and creativity. Thus, the relationship between artistic output and brain diseases is particularly complex, and brain disorders may lead to impairment of artistic production in multiple domains. Neurological conditions may also occasionally modify artistic style and lead to surprisingly innovative features in people with an initial loss of creativity. This chapter focuses on anecdotal reports of various neurological disorders and their potential consequences on works produced by famous or well-established artists, including Carl Frederik Reutersward, Giorgio de Chirico, Krystyna Habura, Leo Schnug, Ignatius Brennan, and many others. © 2013 Elsevier B.V. All rights reserved.

  18. PET and SPECT in neurology

    Energy Technology Data Exchange (ETDEWEB)

    Dierckx, Rudi A.J.O. [Groningen University Medical Center (Netherlands). Dept. of Nuclear Medicine and Molecular Imaging; Ghent Univ. (Belgium). Dept. of Radiology and Nuclear Medicine; Vries, Erik F.J. de; Waarde, Aren van [Groningen University Medical Center (Netherlands). Dept. of Nuclear Medicine and Molecular Imaging; Otte, Andreas (ed.) [Univ. of Applied Sciences Offenburg (Germany). Faculty of Electrical Engineering and Information Technology

    2014-07-01

    PET and SPECT in Neurology highlights the combined expertise of renowned authors whose dedication to the investigation of neurological disorders through nuclear medicine technology has achieved international recognition. Classical neurodegenerative disorders are discussed as well as cerebrovascular disorders, brain tumors, epilepsy, head trauma, coma, sleeping disorders, and inflammatory and infectious diseases of the CNS. The latest results in nuclear brain imaging are detailed. Most chapters are written jointly by a clinical neurologist and a nuclear medicine specialist to ensure a multidisciplinary approach. This state-of-the-art compendium will be valuable to anybody in the field of neuroscience, from the neurologist and the radiologist/nuclear medicine specialist to the interested general practitioner and geriatrician. It is the second volume of a trilogy on PET and SPECT imaging in the neurosciences, the other volumes covering PET and SPECT in psychiatry and in neurobiological systems.

  19. Proust, neurology and Stendhal's syndrome.

    Science.gov (United States)

    Teive, Hélio A G; Munhoz, Renato P; Cardoso, Francisco

    2014-01-01

    Marcel Proust is one of the most important French writers of the 20th century. His relationship with medicine and with neurology is possibly linked to the fact that his asthma was considered to be a psychosomatic disease classified as neurasthenia. Stendhal's syndrome is a rare psychiatric syndrome characterized by anxiety and affective and thought disturbances when a person is exposed to a work of art. Here, the authors describe neurological aspects of Proust's work, particularly the occurrence of Stendhal's syndrome and syncope when he as well as one of the characters of In Search of Lost Time see Vermeer's View of Delft during a visit to a museum. © 2014 S. Karger AG, Basel.

  20. A wrist-worn biosensor system for assessment of neurological status.

    Science.gov (United States)

    Cogan, D; Pouyan, M Baran; Nourani, M; Harvey, J

    2014-01-01

    EEG based monitoring for the purpose of assessing a patient's neurological status is conspicuous and uncomfortable at best. We are analyzing a set of physiological signals that may be monitored comfortably by a wrist worn device. We have found that these signals and machine based classification allows us to accurately discriminate among four stress states of individuals. Further, we have found a clear change in these signals during the 70 minutes preceding a single convulsive epileptic seizure. Our classification accuracy on all data has been greater than 90% to date.

  1. Neurological Findings in Myeloproliferative Neoplasms

    Directory of Open Access Journals (Sweden)

    Semra Paydas

    2013-04-01

    Full Text Available Myeloproliferative neoplasms (MPN arise from genetic deficiencies at the level of pluripotent stem cells. Each of these neoplasms is a clonal stem cell disorder with specific phenotypic, genetic and clinical properties. Age is one of the most important factors in the development of symptoms and complications associated with MPNs.High white blood cell counts in chronic myelocytic leukemia also known as leukocytosis may lead to central nervous system findings. Tumors developing outside the bone marrow named as extramedullary myeloid tumors (EMMT could be detected at the initial diagnosis or during the prognosis of the disease, which may cause neurological symptoms due to pressure of leukemic cell mass on various tissues along with spinal cord. Central nervous system involvement and thrombocytopenic hemorrhage may lead to diverse neurological symptoms and findings.Transient ischemic attack and thrombotic stroke are the most common symptoms in polycythemia vera. Besides thrombosis and hemorrage, transformation to acute leukemia can cause neurological symptoms and findings. Transient ischemic attack, thrombotic stroke and specifically hemorrage can give rise to neurological symptoms similar to MPN in essential thrombocytosis.Extramedullary hematopoiesis refers to hematopoietic centers arise in organ/tissues other than bone marrow in myelofibrosis. Extramedullar hematopoietic centers may cause intracranial involvement, spinal cord compression, seizures and hydrocephalia. Though rare, extramedullary hematopoiesis can be detected in cranial/spinal meninges, paraspinal tissue and intracerebral regions. Extramedullary hematopoiesis has been reported in peripheral neurons, choroid plexus, pituitary, orbits, orbital and lacrimal fossa and in sphenoidal sinuses. [Cukurova Med J 2013; 38(2.000: 157-169

  2. [Deficiency, disability, neurology and cinema].

    Science.gov (United States)

    Collado-Vázquez, Susana; Cano de la Cuerda, Roberto; Jiménez-Antona, Carmen

    2010-12-16

    Cinema has been defined in many different ways, but most of them agree that it should be considered both a technique and an art. Although films often depict fantasy stories, in many cases they also reflect day-to-day realities. In its earliest days cinema was already attracted to the world of health and sickness, and frequently addressed topics like medical practice, how patients lived with their illnesses, bioethical issues, the relationship between physician and patient or research. To review the presence of neurological pathologies in the cinema with a view to identifying the main neurological disorders that have been portrayed in films. Likewise it also intends to describe the medical praxis that is employed, the relationship between physician and patient, how the experiences of the patient and the family are represented, the adaptation to social and occupational situations, and the intervention of other health care professionals related with neurological patients. Some of the most significant films that have addressed these topics were reviewed and it was seen that in some of them the illness is dealt with in a very true-to-life manner, whereas others tend to include a greater number of inaccuracies and a larger degree of fiction. Cinema has helped to shape certain ways of thinking about the health care professionals who work with neurological patients, the importance of support from the family and the social role, among other things. This confirms that resorting to cinematographic productions is a fruitful tool for stimulating a critical interest in the past and present of medical practice.

  3. Prospects for neurology and psychiatry.

    Science.gov (United States)

    Cowan, W M; Kandel, E R

    2001-02-07

    Neurological and psychiatric illnesses are among the most common and most serious health problems in developed societies. The most promising advances in neurological and psychiatric diseases will require advances in neuroscience for their elucidation, prevention, and treatment. Technical advances have improved methods for identifying brain regions involved during various types of cognitive activity, for tracing connections between parts of the brain, for visualizing individual neurons in living brain preparations, for recording the activities of neurons, and for studying the activity of single-ion channels and the receptors for various neurotransmitters. The most significant advances in the past 20 years have come from the application to the nervous system of molecular genetics and molecular cell biology. Discovery of the monogenic disorder responsible for Huntington disease and understanding its pathogenesis can serve as a paradigm for unraveling the much more complex, polygenic disorders responsible for such psychiatric diseases as schizophrenia, manic depressive illness, and borderline personality disorder. Thus, a new degree of cooperation between neurology and psychiatry is likely to result, especially for the treatment of patients with illnesses such as autism, mental retardation, cognitive disorders associated with Alzheimer and Parkinson disease that overlap between the 2 disciplines.

  4. The added value of simultaneous EEG and amplitude-integrated EEG recordings in three newborn infants

    NARCIS (Netherlands)

    de Vries, Nathalie K. S.; ter Horst, Hendrik J.; Bos, Arend F.

    2007-01-01

    Amplitude-integrated electroencephalograms (aEEGs) recorded by cerebral function monitors (CFMs) are used increasingly to monitor the cerebral activity of newborn infants with encephalopathy. Recently, new CFM devices became available which also reveal the original EEG signals from the same leads.

  5. Performances among various common spatial pattern methods for simultaneous MEG/EEG data

    Science.gov (United States)

    Kang, S.; Ahn, M.; Jun, S. C.

    2010-01-01

    Brain Computer Interface (BCI) is a communication pathway between devices (computers) and the human brain. It treats brain signals in a real-time basis and deciphers some of what the human brain is doing to give us certain information. In this work, we develop the BCI system based on simultaneous electroencephalograph (EEG) and magnetoencephalography (MEG) using various preprocessing and feature extraction methods along with Fisher linear discriminant analysis (FLDA) classifier. Common spatial pattern (CSP) is a spatial filter whose spatially projected signal has maximum power for one class and minimum power for the other. Each single trial is computed by the variance in the time domain. We choose a proper number of patterns in order to make a feature vector. In this work, 6 CSP patterns, the first three and the last three ones are selected. A feature vector consists of 6 variances of each extracted CSP pattern from projected data. Among various CSP methods, we used normal common spatial patterns (CSP), invariant common spatial patterns (iCSP), and common spectral spatial patterns (CSSP) methods to measure the performances. Simultaneous MEG/EEG datasets (340 channels) for four subjects from Eleckta Vectorview system were digitally acquired at a 1 KHz and 8-30Hz bandpass filtered. Total 340 channels consist of three kinds of channel types such as 102 magnetometers, 204 gradiometers and 40 EEG electrodes. Three different modalities such as EEG-only, MEG-only, and simultaneous MEG and EEG were analyzed in order to study comparative BCI performances on three variants of CSP. Particularly, for simultaneous MEG/EEG data we proposed three different combination ways for BCI and their performances were discussed.

  6. EEG II. Annexes and regulations. Comment; EEG II. Anlagen und Verordnungen. Kommentar

    Energy Technology Data Exchange (ETDEWEB)

    Frenz, Walter (ed.) [Rheinisch-Westfaelische Technische Hochschule Aachen (Germany). Berg-, Umwelt- und Europarecht

    2016-11-01

    Berlin commentary EEG II: safe through the paraphernalia Like hardly any other law, the Renewable Energies Act (EEG) is subject to constant changes. With the 2014 amendment, the EEG was fundamentally redesigned. This makes the application of the complex rules a challenge even for experts. In addition, the sub-rules contain important statements in the form of numerous annexes and regulations - with the EEG amendment 2014, this has become even more detailed. In it, many calculations are only defined in detail and the legal provisions of the EEG are made more definite and supplemented. The Berlin commentary EEG II accompanies you expertly through this complex matter. Experts explain the widely divergent rules in practice. If necessary for a better understanding, the provisions of the EEG 2014 are also explained. Consistently designed for your practice As a buyer of the work, you also benefit from access to an extensive, regularly updated database. This contains important legal energy regulations of the EU, the federal government and the countries. Even earlier legal positions remain searchable and can be conveniently compared with current versions. So you can see at a glance what has changed. [German] Berliner Kommentar EEG II: sicher durch den Paragrafengeflecht Wie kaum ein anderes Gesetz ist das Erneuerbare-Energien-Gesetz (EEG) staendigen Aenderungen unterworfen. Mit der Novelle 2014 wurde das EEG grundlegend umgestaltet. Dies macht die Anwendung der komplexen Regeln selbst fuer Experten zu einer Herausforderung. Zudem enthaelt auch das untergesetzliche Regelwerk wichtige Aussagen in Form zahlreicher Anlagen und Verordnungen - mit der EEG-Novelle 2014 ist dieses noch ausfuehrlicher geworden. In ihm werden viele Berechnungen erst naeher festgelegt und gesetzliche Bestimmungen des EEG entscheidend konkretisiert und ergaenzt. Der Berliner Kommentar EEG II begleitet Sie fachkundig durch diese komplexe Materie. Experten erlaeutern Ihnen praxisorientiert die

  7. Functional Disorders in Neurology : Case Studies

    NARCIS (Netherlands)

    Stone, Jon; Hoeritzauer, Ingrid; Gelauff, Jeannette; Lehn, Alex; Gardiner, Paula; van Gils, Anne; Carson, Alan

    Functional, often called psychogenic, disorders are common in neurological practice. We illustrate clinical issues and highlight some recent research findings using six case studies of functional neurological disorders. We discuss dizziness as a functional disorder, describing the relatively new

  8. Clinical trials in neurology: design, conduct, analysis

    National Research Council Canada - National Science Library

    Ravina, Bernard

    2012-01-01

    .... Clinical Trials in Neurology aims to improve the efficiency of clinical trials and the development of interventions in order to enhance the development of new treatments for neurologic diseases...

  9. Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

    Directory of Open Access Journals (Sweden)

    Krishnaveni

    2017-01-01

    Full Text Available Many Neurological disorders are very difficult to detect. One such Neurological disorder which we are going to discuss in this paper is Epilepsy. Epilepsy means sudden change in the behavior of a human being for a short period of time. This is caused due to seizures in the brain. Many researches are going onto detect epilepsy detection through analyzing EEG. One such method of epilepsy detection is proposed in this paper. This technique employs Discrete Wave Transform (DWT method for pre-processing, Approximate Entropy (ApEn to extract features and Artificial Neural Network (ANN for classification. This paper presented a detailed survey of various methods that are being used for epilepsy detection and also proposes a wavelet based epilepsy detection method.

  10. Ordinal patterns in epileptic brains: Analysis of intracranial EEG and simultaneous EEG-fMRI

    Science.gov (United States)

    Rummel, C.; Abela, E.; Hauf, M.; Wiest, R.; Schindler, K.

    2013-06-01

    Epileptic seizures are associated with high behavioral stereotypy of the patients. In the EEG of epilepsy patients characteristic signal patterns can be found during and between seizures. Here we use ordinal patterns to analyze EEGs of epilepsy patients and quantify the degree of signal determinism. Besides relative signal redundancy and the fraction of forbidden patterns we introduce the fraction of under-represented patterns as a new measure. Using the logistic map, parameter scans are performed to explore the sensitivity of the measures to signal determinism. Thereafter, application is made to two types of EEGs recorded in two epilepsy patients. Intracranial EEG shows pronounced determinism peaks during seizures. Finally, we demonstrate that ordinal patterns may be useful for improving analysis of non-invasive simultaneous EEG-fMRI.

  11. Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task.

    Science.gov (United States)

    Al-Qazzaz, Noor Kamal; Bin Mohd Ali, Sawal Hamid; Ahmad, Siti Anom; Islam, Mohd Shabiul; Escudero, Javier

    2015-11-17

    We performed a comparative study to select the efficient mother wavelet (MWT) basis functions that optimally represent the signal characteristics of the electrical activity of the human brain during a working memory (WM) task recorded through electro-encephalography (EEG). Nineteen EEG electrodes were placed on the scalp following the 10-20 system. These electrodes were then grouped into five recording regions corresponding to the scalp area of the cerebral cortex. Sixty-second WM task data were recorded from ten control subjects. Forty-five MWT basis functions from orthogonal families were investigated. These functions included Daubechies (db1-db20), Symlets (sym1-sym20), and Coiflets (coif1-coif5). Using ANOVA, we determined the MWT basis functions with the most significant differences in the ability of the five scalp regions to maximize their cross-correlation with the EEG signals. The best results were obtained using "sym9" across the five scalp regions. Therefore, the most compatible MWT with the EEG signals should be selected to achieve wavelet denoising, decomposition, reconstruction, and sub-band feature extraction. This study provides a reference of the selection of efficient MWT basis functions.

  12. Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task

    Directory of Open Access Journals (Sweden)

    Noor Kamal Al-Qazzaz

    2015-11-01

    Full Text Available We performed a comparative study to select the efficient mother wavelet (MWT basis functions that optimally represent the signal characteristics of the electrical activity of the human brain during a working memory (WM task recorded through electro-encephalography (EEG. Nineteen EEG electrodes were placed on the scalp following the 10–20 system. These electrodes were then grouped into five recording regions corresponding to the scalp area of the cerebral cortex. Sixty-second WM task data were recorded from ten control subjects. Forty-five MWT basis functions from orthogonal families were investigated. These functions included Daubechies (db1–db20, Symlets (sym1–sym20, and Coiflets (coif1–coif5. Using ANOVA, we determined the MWT basis functions with the most significant differences in the ability of the five scalp regions to maximize their cross-correlation with the EEG signals. The best results were obtained using “sym9” across the five scalp regions. Therefore, the most compatible MWT with the EEG signals should be selected to achieve wavelet denoising, decomposition, reconstruction, and sub-band feature extraction. This study provides a reference of the selection of efficient MWT basis functions.

  13. Cervical spinal canal narrowing and cervical neurologi-cal injuries

    Directory of Open Access Journals (Sweden)

    ZHANG Ling

    2012-04-01

    Full Text Available 【Abstract】Cervical spinal canal narrowing can lead to injury of the spinal cord and neurological symptoms in-cluding neck pain, headache, weakness and parasthesisas. According to previous and recent clinical researches, we investigated the geometric parameters of normal cervical spinal canal including the sagittal and transverse diameters as well as Torg ratio. The mean sagittal diameter of cervical spinal canal at C 1 to C 7 ranges from 15.33 mm to 20.46 mm, the mean transverse diameter at the same levels ranges from 24.45 mm to 27.00 mm and the mean value of Torg ratio is 0.96. With respect to narrow cervical spinal canal, the following charaterstics are found: firstly, extension of the cervical spine results in statistically significant stenosis as compared with the flexed or neutral positions; secondly, females sustain cervical spinal canal narrowing more easily than males; finally, the consistent narrowest cervical canal level is at C 4 for all ethnicity, but there is a slight variation in the sagittal diameter of cervical spinal stenosis (≤14 mm in Whites, ≤ 12 mm in Japanese, ≤13.7 mm in Chinese. Narrow sagittal cervical canal diameter brings about an increased risk of neurological injuries in traumatic, degenerative and inflam-matory conditions and is related with extension of cervical spine, gender, as well as ethnicity. It is hoped that this re-view will be helpful in diagnosing spinal cord and neuro-logical injuries with the geometric parameters of cervical spine in the future. Key words: Spinal cord injuries; Spinal stenosis; Trauma, nervous system

  14. Ergonomic design of an EEG headset using 3D anthropometry.

    Science.gov (United States)

    Lacko, Daniël; Vleugels, Jochen; Fransen, Erik; Huysmans, Toon; De Bruyne, Guido; Van Hulle, Marc M; Sijbers, Jan; Verwulgen, Stijn

    2017-01-01

    Although EEG experiments over the past decades have shown numerous applications for brain-computer interfacing (BCI), there is a need for user-friendly BCI devices that can be used in real-world situations. 3D anthropometry and statistical shape modeling have been shown to improve the fit of devices such as helmets and respirators, and thus they might also be suitable to design BCI headgear that better fits the size and shape variation of the human head. In this paper, a new design method for BCI devices is proposed and evaluated. A one-size-fits-all BCI headset frame is designed on the basis of three digital mannequins derived from a shape model of the human head. To verify the design, the geometric fit, stability and repeatability of the prototype were compared to an EEG cap and a commercial BCI headset in a preliminary experiment. Most design specifications were met, and all the results were found to be similar to those of the commercial headset. Therefore, the suggested design method is a feasible alternative to traditional anthropometric design for BCI headsets and similar headgear. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. EEG for children with complex febrile seizures.

    Science.gov (United States)

    Shah, Pankaj B; James, Saji; Elayaraja, S

    2015-12-08

    This is an updated version of original Cochrane review published in Issue 1, 2014.Febrile seizures can be classified as simple or complex. Complex febrile seizures are associated with fever that lasts longer than 15 minutes, occur more than once within 24 hours and are confined to one side of the child's body. It is common in some countries for doctors to recommend an electroencephalograph (EEG) for children with complex febrile seizures. A limited evidence base is available to support the use of EEG and its timing after complex febrile seizures among children. To assess the use of EEG and its timing after complex febrile seizures in children younger than five years of age. For the latest update of this review, we searched the Cochrane Epilepsy Group Specialized Register (6 July 2015), the Cochrane Central Register of Controlled Trials (CENTRAL, 2005, Issue 6), MEDLINE (6 July 2015) and ClinicalTrials.gov (6 July 2015). We applied no language restrictions. All randomised controlled trials (RCTs) that examined the utility of an EEG and its timing after complex febrile seizures in children. Review authors selected and retrieved the articles and independently assessed which articles should be included. We resolved disagreements by discussion and by consultation with the Cochrane Epilepsy Group. We applied standard methodological procedures expected by Cochrane. Of 37 potentially eligible studies, no RCTs met the inclusion criteria. We found no RCTs as evidence to support or refute the use of EEG and its timing after complex febrile seizures among children. An RCT can be planned in such a way that participants are randomly assigned to the EEG group and to the non-EEG group with sufficient sample size. Since the last version of this review, we found no new studies.

  16. The changes in relation of auditory and visual input activity between hemispheres analized in cartographic EEG in a child with hyperactivity syndrome

    Directory of Open Access Journals (Sweden)

    Radičević Zoran

    2015-01-01

    Full Text Available The paper discusses the changes in relations of visual and auditory inputs between the hemispheres in a child with hyperactive syndrome and its effects which may lead to better attention engagement in auditory and visual information analysis. The method included the use of cartographic EEG and clinical procedure in a 10-year-old boy with hyperactive syndrome and attention deficit disorder, who has theta dysfunction manifested in standard EEG. Cartographic EEG patterns was performed on NihonKohden Corporation, EEG - 1200K Neurofax apparatus in longitudinal bipolar electrode assembly schedule by utilizing10/20 International electrode positioning. Impedance was maintained below 5 kΩ, with not more than 1 kΩ differences between the electrodes. Lower filter was set at 0.53 Hz and higher filter at 35 Hz. Recording was performed in a quiet period and during stimulation procedures that include speech and language basis. Standard EEG and Neurofeedback (NFB treatment indicated higher theta load, alpha 2 and beta 1 activity measured in the cartographic EEG which was done after the relative failure of NFB treatment. After this, the NFB treatment was applied which lasted for six months, in a way that when the boy was reading, the visual input was enhanced to the left hemisphere and auditory input was reduced to the right hemisphere. Repeated EEG mapping analysis showed that there was a significant improvement, both in EEG findings as well as in attention, behavioural and learning disorders. The paper discusses some aspects of learning, attention and behaviour in relation to changes in the standard EEG, especially in cartographic EEG and NFB findings.

  17. Neurological manifestaions among Sudanese patients with multiple ...

    African Journals Online (AJOL)

    The study demonstrated that the most common non- neurological symptoms was locomotor symptoms (24%) ,while the most common neurological symptoms were backache and neck pain .The most common neurological findings were cord compression (8%) followed by peripheral neuropathy (2%) and CVA (2%). 22% of ...

  18. Human brain dynamics: the analysis of EEG signals with Tsallis information measure

    Science.gov (United States)

    Capurro, A.; Diambra, L.; Lorenzo, D.; Macadar, O.; Martin, M. T.; Mostaccio, C.; Plastino, A.; Pérez, J.; Rofman, E.; Torres, M. E.; Velluti, J.

    We undertake the study of human EEG-signals by recourse to a wavelet based multiresolution analysis as adapted to an Information-Measure-Scenario. Different information measures are employed. It is shown that non-extensive ones seem to be of particular usefulness. Their use opens up perspectives of building up automatic detection devices. Conjectures concerning general characteristics of focal epilepsy are formulated on the basis of a Tsallis-type of analysis.

  19. Prognostic value of electroencephalography (EEG) after out-of-hospital cardiac arrest in successfully resuscitated patients used in daily clinical practice.

    Science.gov (United States)

    Søholm, Helle; Kjær, Troels Wesenberg; Kjaergaard, Jesper; Cronberg, Tobias; Bro-Jeppesen, John; Lippert, Freddy K; Køber, Lars; Wanscher, Michael; Hassager, Christian

    2014-11-01

    Out-of-hospital cardiac arrest (OHCA) is associated with a poor prognosis and predicting outcome is complex with neurophysiological testing and repeated clinical neurological examinations as key components of the assessment. In this study we examine the association between different electroencephalography (EEG) patterns and mortality in a clinical cohort of OHCA-patients. From 2002 to 2011 consecutive patients were admitted to an intensive-care-unit after resuscitation from OHCA. Utstein-criteria for pre-hospital data and review of individual patients' charts for post-resuscitation care were used. EEG reports were analysed according to the 2012 American Clinical Neurophysiology Society's guidelines. A total of 1076 patients were included, and EEG was performed in 20% (n=219) with a median of 3(IQR 2-4) days after OHCA. Rhythmic Delta Activity (RDA) was found in 71 patients (36%) and Periodic Discharges (PD) in 100 patients (45%). Background EEG frequency of Alpha+ or Theta was noted in 107 patients (49%), and change in cerebral EEG activity to stimulation (reactivity) was found in 38 patients (17%). Suppression (all activity EEG pattern (reactivity, favourable background frequency and RDA) was independently associated with reduced mortality with hazard ratio (HR) 0.43 (95%CI: 0.24-0.76), p=0.004 (false positive rate: 31%) and a non-favourable EEG pattern (no reactivity, unfavourable background frequency, and PD, suppressed voltage or burst-suppression) was associated with higher mortality (HR=1.62(1.09-2.41), p=0.02) after adjustment for known prognostic factors (false positive rate: 9%). EEG may be useful in work-up in prognostication of patients with OHCA. Findings such as Rhythmic Delta Activity (RDA) seem to be associated with a better prognosis, whereas suppressed voltage and burst-suppression patterns were associated with poor prognosis. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  20. The influence of deep hypothermic global brain ischemia on EEG in a new rat model.

    Science.gov (United States)

    Gu, Qun; Gu, Haitao; Lu, Xiaohu; Lu, Fengxia; Shao, Yongfeng; Zhang, Shijiang

    2012-09-01

    Neurological complications following deep hypothermic circulatory arrest (DHCA) occur between t 4% ≈ 25%. However, the cerebral injury mechanisms are still not well understood due to a lack of a practical and simple animal model. We aimed to establish a rodent deep hypothermic global brain ischemia (DHGBI) model, which can be used to elucidate these mechanisms in future studies. 30 Sprague-Dawley rats were divided randomly into three groups: the carotid occlusion DHGBI group, the internal carotid shunt DHGBI group, and the sham operation group. We validated the model in terms of electroencephalogram (EEG) and regional cerebral blood flow (rCBF). All rats were sacrificed for analysis of brain moisture capacity after 24 hours. In the internal carotid shunt DHGBI group the EEG activity was suppressed to "flat-line" and the relative power of the α and θ frequency bands was decreased (p EEG and rCBF observations. The current study presents a novel cerebral recovery model of DHCA in the rat. This experimental model may be suitable to further elucidate the mechanisms associated with adverse cerebral outcomes after DHCA and to investigate potential neuroprotective strategies. © 2012 Wiley Periodicals, Inc.

  1. Multimodal functional network connectivity: an EEG-fMRI fusion in network space.

    Directory of Open Access Journals (Sweden)

    Xu Lei

    Full Text Available EEG and fMRI recordings measure the functional activity of multiple coherent networks distributed in the cerebral cortex. Identifying network interaction from the complementary neuroelectric and hemodynamic signals may help to explain the complex relationships between different brain regions. In this paper, multimodal functional network connectivity (mFNC is proposed for the fusion of EEG and fMRI in network space. First, functional networks (FNs are extracted using spatial independent component analysis (ICA in each modality separately. Then the interactions among FNs in each modality are explored by Granger causality analysis (GCA. Finally, fMRI FNs are matched to EEG FNs in the spatial domain using network-based source imaging (NESOI. Investigations of both synthetic and real data demonstrate that mFNC has the potential to reveal the underlying neural networks of each modality separately and in their combination. With mFNC, comprehensive relationships among FNs might be unveiled for the deep exploration of neural activities and metabolic responses in a specific task or neurological state.

  2. Finding synchrony in the desynchronized EEG: the history & interpretation of gamma rhythms

    Directory of Open Access Journals (Sweden)

    Omar J. Ahmed

    2013-08-01

    Full Text Available Neocortical gamma (30-80 Hz rhythms correlate with attention, movement and perception and are often disrupted in neurological and psychiatric disorders. Gamma primarily occurs during alert brain states characterized by the so-called desynchronized EEG. Is this because gamma rhythms are devoid of synchrony? In this review we take a historical approach to answering this question. Richard Caton and Adolf Beck were the first to report the rhythmic voltage fluctuations in the animal brain. They were limited by the poor amplification of their early galvanometers. Thus when they presented light or other stimuli, they observed a disappearance of the large resting oscillations. Several groups have since shown that visual stimuli lead to low amplitude gamma rhythms and that groups of neurons in the visual cortices fire together during individual gamma cycles. This synchronous firing can more strongly drive downstream neurons. We discuss how gamma-band synchrony can support ongoing communication between brain regions, and highlight an important fact: there is at least local neuronal synchrony during gamma rhythms. Thus, it is best to refer to the low amplitude, high frequency EEG as an activated, not desynchronized, EEG.

  3. From intracerebral EEG signals to brain connectivity: identification of epileptogenic networks in partial epilepsy.

    Science.gov (United States)

    Wendling, Fabrice; Chauvel, Patrick; Biraben, Arnaud; Bartolomei, Fabrice

    2010-01-01

    Epilepsy is a complex neurological disorder characterized by recurring seizures. In 30% of patients, seizures are insufficiently reduced by anti-epileptic drugs. In the case where seizures originate from a relatively circumscribed region of the brain, epilepsy is said to be partial and surgery can be indicated. The success of epilepsy surgery depends on the accurate localization and delineation of the epileptogenic zone (which often involves several structures), responsible for seizures. It requires a comprehensive pre-surgical evaluation of patients that includes not only imaging data but also long-term monitoring of electrophysiological signals (scalp and intracerebral EEG). During the past decades, considerable effort has been devoted to the development of signal analysis techniques aimed at characterizing the functional connectivity among spatially distributed regions over interictal (outside seizures) or ictal (during seizures) periods from EEG data. Most of these methods rely on the measurement of statistical couplings among signals recorded from distinct brain sites. However, methods differ with respect to underlying theoretical principles (mostly coming from the field of statistics or the field of non-linear physics). The objectives of this paper are: (i) to provide an brief overview of methods aimed at characterizing functional brain connectivity from electrophysiological data, (ii) to provide concrete application examples in the context of drug-refractory partial epilepsies, and iii) to highlight some key points emerging from results obtained both on real intracerebral EEG signals and on signals simulated from physiologically plausible models in which the underlying connectivity patterns are known a priori (ground truth).

  4. Study of heart-brain interactions through EEG, ECG, and emotions

    Science.gov (United States)

    Ramasamy, Mouli; Varadan, Vijay K.

    2017-04-01

    Neurocardiology is the exploration of neurophysiological, neurological and neuroanatomical facets of neuroscience's influence in cardiology. The paraphernalia of emotions on the heart and brain are premeditated because of the interaction between the central and peripheral nervous system. This is an investigative attempt to study emotion based neurocardiology and the factors that influence this phenomenon. The factors include: interaction between sleep EEG (electroencephalogram) and ECG (electrocardiogram), relationship between emotion and music, psychophysiological coherence between the heart and brain, emotion recognition techniques, and biofeedback mechanisms. Emotions contribute vitally to the mundane life and are quintessential to a numerous biological and everyday-functional modality of a human being. Emotions are best represented through EEG signals, and to a certain extent, can be observed through ECG and body temperature. Confluence of medical and engineering science has enabled the monitoring and discrimination of emotions influenced by happiness, anxiety, distress, excitement and several other factors that influence the thinking patterns and the electrical activity of the brain. Similarly, HRV (Heart Rate Variability) widely investigated for its provision and discerning characteristics towards EEG and the perception in neurocardiology.

  5. EEG Correlates of Ten Positive Emotions.

    Science.gov (United States)

    Hu, Xin; Yu, Jianwen; Song, Mengdi; Yu, Chun; Wang, Fei; Sun, Pei; Wang, Daifa; Zhang, Dan

    2017-01-01

    Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants' ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as 'encouragement' for awe, gratitude, hope, inspiration, pride, 'playfulness' for amusement, joy, interest, and 'harmony' for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions.

  6. Data selection in EEG signals classification.

    Science.gov (United States)

    Wang, Shuaifang; Li, Yan; Wen, Peng; Lai, David

    2016-03-01

    The alcoholism can be detected by analyzing electroencephalogram (EEG) signals. However, analyzing multi-channel EEG signals is a challenging task, which often requires complicated calculations and long execution time. This paper proposes three data selection methods to extract representative data from the EEG signals of alcoholics. The methods are the principal component analysis based on graph entropy (PCA-GE), the channel selection based on graph entropy (GE) difference, and the mathematic combinations channel selection, respectively. For comparison purposes, the selected data from the three methods are then classified by three classifiers: the J48 decision tree, the K-nearest neighbor and the Kstar, separately. The experimental results show that the proposed methods are successful in selecting data without compromising the classification accuracy in discriminating the EEG signals from alcoholics and non-alcoholics. Among them, the proposed PCA-GE method uses only 29.69% of the whole data and 29.5% of the computation time but achieves a 94.5% classification accuracy. The channel selection method based on the GE difference also gains a 91.67% classification accuracy by using only 29.69% of the full size of the original data. Using as little data as possible without sacrificing the final classification accuracy is useful for online EEG analysis and classification application design.

  7. EEG Correlates of Ten Positive Emotions

    Science.gov (United States)

    Hu, Xin; Yu, Jianwen; Song, Mengdi; Yu, Chun; Wang, Fei; Sun, Pei; Wang, Daifa; Zhang, Dan

    2017-01-01

    Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants’ ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as ‘encouragement’ for awe, gratitude, hope, inspiration, pride, ‘playfulness’ for amusement, joy, interest, and ‘harmony’ for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions. PMID:28184194

  8. Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI

    Directory of Open Access Journals (Sweden)

    Galina V. Portnova

    2018-01-01

    Full Text Available Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG reflect variations in the BOLD signal. The purpose of our study was to correlate both spectral patterns, as linear features of EEG rhythms, and nonlinear EEG dynamic complexity with neuronal activity obtained by fMRI. We examined the relationships between EEG patterns and brain activation obtained by simultaneous EEG-fMRI during the resting state condition in 25 healthy right-handed adult volunteers. Using EEG-derived regressors, we demonstrated a substantial correlation of BOLD signal changes with linear and nonlinear features of EEG. We found the most significant positive correlation of fMRI signal with delta spectral power. Beta and alpha spectral features had no reliable effect on BOLD fluctuation. However, dynamic changes of alpha peak frequency exhibited a significant association with BOLD signal increase in right-hemisphere areas. Additionally, EEG dynamic complexity as measured by the HFD of the 2–20 Hz EEG frequency range significantly correlated with the activation of cortical and subcortical limbic system areas. Our results indicate that both spectral features of EEG frequency bands and nonlinear dynamic properties of spontaneous EEG are strongly associated with fluctuations of the BOLD signal during the resting state condition.

  9. Juvenile myoclonic epilepsy: A clinical and sleep EEG study

    National Research Council Canada - National Science Library

    Dhanuka, A.K; Jain, B.K; Daljit, Singh; Maheshwari, D

    2001-01-01

    ...) and is associated with absence seizures in more than one third of cases. Fifteen patients with juvenile myoclonic epilepsy were studied with regard to their clinical profile, EEG data and sleep EEG findings...

  10. Removal of ocular artifacts from the REM sleep EEG

    NARCIS (Netherlands)

    Waterman, D.; Woestenburg, J.C.; Elton, M.; Hofman, W.; Kok, A.

    1992-01-01

    The present report concerns the first study in which electrooculographic (EOG) contamination of electroencephalographic (EEG) recordings in rapid eye movement (REM) sleep is systematically investigated. Contamination of REM sleep EEG recordings in six subjects was evaluated in the frequency domain.

  11. Correlated EEG Signals Simulation Based on Artificial Neural Networks.

    Science.gov (United States)

    Tomasevic, Nikola M; Neskovic, Aleksandar M; Neskovic, Natasa J

    2017-08-01

    In recent years, simulation of the human electroencephalogram (EEG) data found its important role in medical domain and neuropsychology. In this paper, a novel approach to simulation of two cross-correlated EEG signals is proposed. The proposed method is based on the principles of artificial neural networks (ANN). Contrary to the existing EEG data simulators, the ANN-based approach was leveraged solely on the experimentally acquired EEG data. More precisely, measured EEG data were utilized to optimize the simulator which consisted of two ANN models (each model responsible for generation of one EEG sequence). In order to acquire the EEG recordings, the measurement campaign was carried out on a healthy awake adult having no cognitive, physical or mental load. For the evaluation of the proposed approach, comprehensive quantitative and qualitative statistical analysis was performed considering probability distribution, correlation properties and spectral characteristics of generated EEG processes. The obtained results clearly indicated the satisfactory agreement with the measurement data.

  12. EEG Based Inference of Spatio-Temporal Brain Dynamics

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese

    investigate the extraction of EEG components having bandpower dynamics correlated with fMRI components. We show that adding anatomical information to the inference scheme improves the recovery of correlated components compared to only using functional information. The anatomical information is incorporated......Electroencephalography (EEG) provides a measure of brain activity and has improved our understanding of the brain immensely. However, there is still much to be learned and the full potential of EEG is yet to be realized. In this thesis we suggest to improve the information gain of EEG using three...... different approaches; 1) by recovery of the EEG sources, 2) by representing and inferring the propagation path of EEG sources, and 3) by combining EEG with functional magnetic resonance imaging (fMRI). The common goal of the methods, and thus of this thesis, is to improve the spatial dimension of EEG...

  13. Quantitative EEG markers in severe post-resuscitation brain injury with therapeutic hypothermia.

    Science.gov (United States)

    Deng, Ruoxian; Young, Leanne M; Jia, Xiaofeng

    2015-01-01

    Therapeutic hypothermia has been regarded as one of the most effective post-cardiac arrest (CA) treatments to improve survival and functional recovery. However, many clinical prognostic markers after resuscitation have become less reliable under hypothermia. In this study, we applied and compared two developed quantitative measures - information quantity (IQ) and sub-band IQ (SIQ) - to evaluate the accuracy of EEG markers on predicting cortical recovery under therapeutic hypothermia. A total of 14 rats under 9-min asphyxial-CA, leading to severe brain injury, were randomly divided into two groups: hypothermia (32°C-34°C) and normothermia (36.5-37.5°C) (n=7 per group). For each rat, EEG and temperature were continuously recorded for the first 15 hrs. EEG was then recorded for serial 30 mins at 24, 48 and 72 hrs. The neurologic deficit score was evaluated daily to assess the neurologic recovery. Early SIQ and IQ were both significantly correlated with the 72-hr NDS, when the rats remained comatose. Both IQ and SIQ were able to discriminate the animals with good and bad functional outcomes starting from 1 hr after resuscitation. There was no significant difference in 72-hr NDS results (hypothermia (median (25th, 75th), 65 (52, 67)) versus normothermia (53.5 (52.25, 66.75))) (p>0.05) due to the high mortality rate (5/14) with severe brain injury. Contrary to IQ recovery but similarly to NDS scores, the SIQ recovery was not significantly different between the hypothermia (0.66±0.04) and normothermia (0.64±0.04) groups (p>0.05). IQ could identify the presence of high-frequency oscillations during the recovery from severe brain injury. We demonstrated that while SIQ was able to provide additional sub-band EEG information related to the recovery of different brain functions, both early IQ and SIQ markers are able to accurately predict neurologic outcome after CA.

  14. Dynamics of EEG Entropy: beyond signal plus noise

    OpenAIRE

    Ignaccolo, M.; Latka, M.; Jernajczyk, W.; Grigolini, P.; West, B. J.

    2009-01-01

    EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context. Detrended fluctuation analysis of the EEG data is compared with diffusion entropy analysis and is found to suppress certain important properties of the EEG time series.

  15. A Review on Machine Learning Algorithms in Handling EEG Artifacts

    OpenAIRE

    Barua, Shaibal; Begum, Shahina

    2014-01-01

    Brain waves obtained by Electroencephalograms (EEG) recording are an important research area in medical and health and brain computer interface (BCI). Due to the nature of EEG signal, noises and artifacts can contaminate it, which leads to a serious misinterpretation in EEG signal analysis. These contaminations are referred to as artifacts, which are signals of other than brain activity. Moreover, artifacts can cause significant miscalculation of the EEG measurements that reduces the clinical...

  16. Recent advances in metabolomics in neurological disease, and future perspectives.

    Science.gov (United States)

    Zhang, Ai-hua; Sun, Hui; Wang, Xi-jun

    2013-10-01

    Discovery of clinically relevant biomarkers for diseases has revealed metabolomics has potential advantages that classical diagnostic approaches do not. The great asset of metabolomics is that it enables assessment of global metabolic profiles of biofluids and discovery of biomarkers distinguishing disease status, with the possibility of enhancing clinical diagnostics. Most current clinical chemistry tests rely on old technology, and are neither sensitive nor specific for a particular disease. Clinical diagnosis of major neurological disorders, for example Alzheimer's disease and Parkinson's disease, on the basis of current clinical criteria is unsatisfactory. Emerging metabolomics is a powerful technique for discovering novel biomarkers and biochemical pathways to improve diagnosis, and for determination of prognosis and therapy. Identifying multiple novel biomarkers for neurological diseases has been greatly enhanced with recent advances in metabolomics that are more accurate than routine clinical practice. Cerebrospinal fluid (CSF), which is known to be a rich source of small-molecule biomarkers for neurological and neurodegenerative diseases, and is in close contact with diseased areas in neurological disorders, could potentially be used for disease diagnosis. Metabolomics will drive CSF analysis, facilitate and improve the development of disease treatment, and result in great benefits to public health in the long-term. This review covers different aspects of CSF metabolomics and discusses their significance in the postgenomic era, emphasizing the potential importance of endogenous small-molecule metabolites in this emerging field.

  17. EEG Frequency-Tagging and Input-Output Comparison in Rhythm Perception.

    Science.gov (United States)

    Nozaradan, Sylvie; Keller, Peter E; Rossion, Bruno; Mouraux, André

    2018-03-01

    The combination of frequency-tagging with electroencephalography (EEG) has recently proved fruitful for understanding the perception of beat and meter in musical rhythm, a common behavior shared by humans of all cultures. EEG frequency-tagging allows the objective measurement of input-output transforms to investigate beat perception, its modulation by exogenous and endogenous factors, development, and neural basis. Recent doubt has been raised about the validity of comparing frequency-domain representations of auditory rhythmic stimuli and corresponding EEG responses, assuming that it implies a one-to-one mapping between the envelope of the rhythmic input and the neural output, and that it neglects the sensitivity of frequency-domain representations to acoustic features making up the rhythms. Here we argue that these elements actually reinforce the strengths of the approach. The obvious fact that acoustic features influence the frequency spectrum of the sound envelope precisely justifies taking into consideration the sounds used to generate a beat percept for interpreting neural responses to auditory rhythms. Most importantly, the many-to-one relationship between rhythmic input and perceived beat actually validates an approach that objectively measures the input-output transforms underlying the perceptual categorization of rhythmic inputs. Hence, provided that a number of potential pitfalls and fallacies are avoided, EEG frequency-tagging to study input-output relationships appears valuable for understanding rhythm perception.

  18. Classifying the Perceptual Interpretations of a Bistable Image Using EEG and Artificial Neural Networks

    Science.gov (United States)

    Hramov, Alexander E.; Maksimenko, Vladimir A.; Pchelintseva, Svetlana V.; Runnova, Anastasiya E.; Grubov, Vadim V.; Musatov, Vyacheslav Yu.; Zhuravlev, Maksim O.; Koronovskii, Alexey A.; Pisarchik, Alexander N.

    2017-01-01

    In order to classify different human brain states related to visual perception of ambiguous images, we use an artificial neural network (ANN) to analyze multichannel EEG. The classifier built on the basis of a multilayer perceptron achieves up to 95% accuracy in classifying EEG patterns corresponding to two different interpretations of the Necker cube. The important feature of our classifier is that trained on one subject it can be used for the classification of EEG traces of other subjects. This result suggests the existence of common features in the EEG structure associated with distinct interpretations of bistable objects. We firmly believe that the significance of our results is not limited to visual perception of the Necker cube images; the proposed experimental approach and developed computational technique based on ANN can also be applied to study and classify different brain states using neurophysiological data recordings. This may give new directions for future research in the field of cognitive and pathological brain activity, and for the development of brain-computer interfaces. PMID:29255403

  19. Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Xiaoou Li

    2014-07-01

    Full Text Available In this study, a multiple kernel learning support vector machine algorithm is proposed for the identification of EEG signals including mental and cognitive tasks, which is a key component in EEG-based brain computer interface (BCI systems. The presented BCI approach included three stages: (1 a pre-processing step was performed to improve the general signal quality of the EEG; (2 the features were chosen, including wavelet packet entropy and Granger causality, respectively; (3 a multiple kernel learning support vector machine (MKL-SVM based on a gradient descent optimization algorithm was investigated to classify EEG signals, in which the kernel was defined as a linear combination of polynomial kernels and radial basis function kernels. Experimental results showed that the proposed method provided better classification performance compared with the SVM based on a single kernel. For mental tasks, the average accuracies for 2-class, 3-class, 4-class, and 5-class classifications were 99.20%, 81.25%, 76.76%, and 75.25% respectively. Comparing stroke patients with healthy controls using the proposed algorithm, we achieved the average classification accuracies of 89.24% and 80.33% for 0-back and 1-back tasks respectively. Our results indicate that the proposed approach is promising for implementing human-computer interaction (HCI, especially for mental task classification and identifying suitable brain impairment candidates.

  20. Emotional responses as independent components in EEG

    DEFF Research Database (Denmark)

    Jensen, Camilla Birgitte Falk; Petersen, Michael Kai; Larsen, Jakob Eg

    2014-01-01

    Combine wireless neuroheadsets with smartphones that enable mobile brain imaging can potentially allow us to design cognitive interfaces which adapt to our affective responses. Neuroimaging experiments using electroencephalography (EEG) initially identified two components elicited by pleasant...... susceptible to noise if captured in a mobile context. Hypothesizing that retrieval of emotional responses in mobile usage scenarios could be enhanced through spatial filtering, we compare a standard EEG electrode based analysis against an approach based on independent component analysis (ICA). By clustering...... scalp maps and time series responses we identify neural signatures that are differentially modulated when passively viewing neutral, pleasant and unpleasant images. While early responses can be detected from the raw EEG signal we identify multiple early and late ICA components that are modulated...

  1. EEG-guided meditation: A personalized approach.

    Science.gov (United States)

    Fingelkurts, Andrew A; Fingelkurts, Alexander A; Kallio-Tamminen, Tarja

    2015-12-01

    The therapeutic potential of meditation for physical and mental well-being is well documented, however the possibility of adverse effects warrants further discussion of the suitability of any particular meditation practice for every given participant. This concern highlights the need for a personalized approach in the meditation practice adjusted for a concrete individual. This can be done by using an objective screening procedure that detects the weak and strong cognitive skills in brain function, thus helping design a tailored meditation training protocol. Quantitative electroencephalogram (qEEG) is a suitable tool that allows identification of individual neurophysiological types. Using qEEG screening can aid developing a meditation training program that maximizes results and minimizes risk of potential negative effects. This brief theoretical-conceptual review provides a discussion of the problem and presents some illustrative results on the usage of qEEG screening for the guidance of mediation personalization. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. Modular, bluetooth enabled, wireless electroencephalograph (EEG) platform.

    Science.gov (United States)

    Lovelace, Joseph A; Witt, Tyler S; Beyette, Fred R

    2013-01-01

    A design for a modular, compact, and accurate wireless electroencephalograph (EEG) system is proposed. EEG is the only non-invasive measure for neuronal function of the brain. Using a number of digital signal processing (DSP) techniques, this neuronal function can be acquired and processed into meaningful representations of brain activity. The system described here utilizes Bluetooth to wirelessly transmit the digitized brain signal for an end application use. In this way, the system is portable, and modular in terms of the device to which it can interface. Brain Computer Interface (BCI) has become a popular extension of EEG systems in modern research. This design serves as a platform for applications using BCI capability.

  3. The Mozart Effect: A quantitative EEG study.

    Science.gov (United States)

    Verrusio, Walter; Ettorre, Evaristo; Vicenzini, Edoardo; Vanacore, Nicola; Cacciafesta, Mauro; Mecarelli, Oriano

    2015-09-01

    The aim of this study is to investigate the influence of Mozart's music on brain activity through spectral analysis of the EEG in young healthy adults (Adults), in healthy elderly (Elderly) and in elderly with Mild Cognitive Impairment (MCI). EEG recording was performed at basal rest conditions and after listening to Mozart's K448 or "Fur Elise" Beethoven's sonatas. After listening to Mozart, an increase of alpha band and median frequency index of background alpha rhythm activity (a pattern of brain wave activity linked to memory, cognition and open mind to problem solving) was observed both in Adults and in Elderly. No changes were observed in MCI. After listening to Beethoven, no changes in EEG activity were detected. This results may be representative of the fact that said Mozart's music is able to "activate" neuronal cortical circuits related to attentive and cognitive functions. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy - A comparison with scalp EEG monitoring

    DEFF Research Database (Denmark)

    Zibrandtsen, I. C.; Kidmose, Preben; Christensen, Christian Bech

    2017-01-01

    Objective Ear-EEG is recording of electroencephalography from a small device in the ear. This is the first study to compare ictal and interictal abnormalities recorded with ear-EEG and simultaneous scalp-EEG in an epilepsy monitoring unit. Methods We recorded and compared simultaneous ear......-EEG and scalp-EEG from 15 patients with suspected temporal lobe epilepsy. EEGs were compared visually by independent neurophysiologists. Correlation and time-frequency analysis was used to quantify the similarity between ear and scalp electrodes. Spike-averages were used to assess similarity of interictal...... and frequency dynamics can be observed from visual inspection and time-frequency analysis. Spike averages derived from ear-EEG electrodes yield a recognizable spike appearance. Conclusions Our results suggest that ear-EEG can reliably detect electroencephalographic patterns associated with focal temporal lobe...

  5. Atypical Neurological Manifestations Of Hypokalemia

    Directory of Open Access Journals (Sweden)

    pal P K

    2004-01-01

    Full Text Available A part from the well-established syndrome of motor paralysis, hypokalemia may present with atypical neurological manifestations, which are not well documented in literature. Methods: We treated 30 patients of hypokalemia whose neurological manifestations improved after corrections of hypokalemia. A retrospective chart review of the clinical profile was done with emphasis on the evolution of symptoms and occurrence of unusual manifestations. Results: Twenty-eight patients had subacute quadriparesis with duration of symptoms varying from 10hrs to 7 days and two had slowly progressive quadriparesis. Fifty percent of patients had more than one attack of paralysis. Early asymmetric weakness (11, stiffness and abnormal posture of hands (7, predominant bibrachial weakness (4, distal paresthesias (4, hemiparesthesia (1, hyperreflexia(4, early severe weakness of neck muscles (3, chorea (1, trismus (1,and, retention of urine (1 were the unusual features observed. The means level of serum potassium on admission was 2.1+0.6mEq/L.and the serum creatine kinase was elevated in 14 out of 17 patients. All patients except two had complete recovery.

  6. Neurological complications in hyperemesis gravidarum.

    Science.gov (United States)

    Zara, Gabriella; Codemo, Valentina; Palmieri, Arianna; Schiff, Sami; Cagnin, Annachiara; Citton, Valentina; Manara, Renzo

    2012-02-01

    Hyperemesis gravidarum can impair correct absorption of an adequate amount of thiamine and can cause electrolyte imbalance. This study investigated the neurological complications in a pregnant woman with hyperemesis gravidarum. A 29-year-old pregnant woman was admitted for hyperemesis gravidarum. Besides undernutrition, a neurological examination disclosed weakness with hyporeflexia, ophthalmoparesis, multidirectional nystagmus and optic disks swelling; the patient became rapidly comatose. Brain MRI showed symmetric signal hyperintensity and swelling of periaqueductal area, hypothalamus and mammillary bodies, medial and posterior portions of the thalamus and columns of fornix, consistent with Wernicke encephalopathy (WE). Neurophysiological studies revealed an axonal sensory-motor polyneuropathy, likely due to thiamine deficiency or critical illness polyneuropathy. Sodium and potassium supplementation and parenteral thiamine were administered with improvement of consciousness state in a few days. WE evolved in Korsakoff syndrome. A repeat MRI showed a marked improvement of WE-related alterations and a new hyperintense lesion in the pons, suggestive of central pontine myelinolysis. No sign or symptom due to involvement of the pons was present.

  7. Neurological disorders in hypertensive patients

    Directory of Open Access Journals (Sweden)

    N. V. Vakhnina

    2015-01-01

    Full Text Available Hypertension is one of the most common vascular diseases. The brain as target organs in hypertension is damaged more often and earlier. Neurological complications due to hypertension are frequently hyperdiagnosed in Russian neurological practice. Thus, headache, dizziness, impaired recall of recent events, nocturnal sleep disorders, and many other complaints in a hypertensive patient are usually regarded as a manifestation of dyscirculatory encephalopathy. At the same time headaches (tension headache and migraine in hypertensive patients are predominantly primary; headache associated with dramatic marked elevations in blood pressure is encountered in only a small number of patients. The role of cerebrovascular diseases in the development of dizziness in hypertensive patients is also overestimated. The vast majority of cases, patients with this complaint are in fact identified to have benign paroxysmal postural vertigo, Mеniеre’s disease, vestibular neuronitis, or vestibular migraine. Psychogenic disorders or multisensory insufficiency are generally responsible for non-systemic vertigo in hypertensive patients. Chronic cerebral circulatory insufficiency may cause non-systemic vertigo as a subjective equivalent of postural instability.Cognitive impairments (CIs are the most common and earliest manifestation of cerebrovascular lesion in hypertension. In most cases, CIs in hypertension were vascular and associated with cerebrovascular lesion due to lacunar infarcts and leukoaraiosis. However, mixed CIs frequently occur when hypertensive patients are also found to have signs of a degenerative disease, most commonly in Alzheimer’s disease.

  8. [Oliver Sacks and literary neurology].

    Science.gov (United States)

    Guardiola, Elena; Banos, Josep E

    2014-03-16

    Popular medical literature attempts to discuss medical topics using a language that is, as far as possible, free of all medical jargon so as to make it more easily understandable by the general public. The very complexity of neurology makes it more difficult for the stories dealing with this specialty to be understood easily by an audience without any kind of medical training. This paper reviews the works written by Oliver Sacks involving the field of neurology aimed at the general public, and the main characteristics and the clinical situation discussed by the author are presented. Some biographical notes about Oliver Sacks are also included and the 11 books published by this author over the last 40 years are also analysed. In each case they are put into a historical context and the most outstanding aspects justifying what makes them an interesting read are commented on. In most cases, the genesis of the work is explained together with its most significant features. The works of Sacks contain a wide range of very interesting clinical situations that are usually explained by means of a language that is readily comprehensible to the general public. It also provides neurologists with a holistic view of different clinical situations, together with a discussion of their biographical, historical and developmental components.

  9. A comparison of EEG spectral entropy with conventional quantitative ...

    African Journals Online (AJOL)

    Background and Aim: Recently an electroencephalographic (EEG) spectral entropy module (M-ENTROPY) for an anaesthetic monitor has become commercially available. We compared its performance as an indicator of the state of anaesthesia with that of an older conventional quantitative EEG (QEEG) module (M-EEG) by ...

  10. Low power wireless EEG headset for BCI applications

    NARCIS (Netherlands)

    Patki, S.; Grundlehner, B.; Nakada, T.; Penders, J.

    2011-01-01

    Miniaturized, low power and low noise circuits and systems are instrumental in bringing EEG monitoring to the home environment. In this paper, we present a miniaturized, low noise and low-power EEG wireless platform integrated into a wearable headset. The wireless EEG headset achieves remote and

  11. Improving the Specificity of EEG for Diagnosing Alzheimer's Disease

    Directory of Open Access Journals (Sweden)

    François-B. Vialatte

    2011-01-01

    Full Text Available Objective. EEG has great potential as a cost-effective screening tool for Alzheimer's disease (AD. However, the specificity of EEG is not yet sufficient to be used in clinical practice. In an earlier study, we presented preliminary results suggesting improved specificity of EEG to early stages of Alzheimer's disease. The key to this improvement is a new method for extracting sparse oscillatory events from EEG signals in the time-frequency domain. Here we provide a more detailed analysis, demonstrating improved EEG specificity for clinical screening of MCI (mild cognitive impairment patients. Methods. EEG data was recorded of MCI patients and age-matched control subjects, in rest condition with eyes closed. EEG frequency bands of interest were θ (3.5–7.5 Hz, α1 (7.5–9.5 Hz, α2 (9.5–12.5 Hz, and β (12.5–25 Hz. The EEG signals were transformed in the time-frequency domain using complex Morlet wavelets; the resulting time-frequency maps are represented by sparse bump models. Results. Enhanced EEG power in the θ range is more easily detected through sparse bump modeling; this phenomenon explains the improved EEG specificity obtained in our previous studies. Conclusions. Sparse bump modeling yields informative features in EEG signal. These features increase the specificity of EEG for diagnosing AD.

  12. The colorful brain: Visualization of EEG background patterns

    NARCIS (Netherlands)

    van Putten, Michel Johannes Antonius Maria

    2008-01-01

    This article presents a method to transform routine clinical EEG recordings to an alternative visual domain. The method is intended to support the classic visual interpretation of the EEG background pattern and to facilitate communication about relevant EEG characteristics. In addition, it provides

  13. Interictal EEG abnormalities in patients with psychogenic nonepileptic seizures.

    NARCIS (Netherlands)

    Reuber, M.; Fernandez, G.S.E.; Bauer, J.; Singh, D.D.; Elger, C.E.

    2002-01-01

    PURPOSE: To examine interictal EEG abnormalities in patients with psychogenic nonepileptic seizures (PNESs). METHODS: (a) Retrospective study of EEG reports of 187 consecutive patients with PNES seen at the Department of Epileptology, Bonn, Germany; (b) Blinded, multirater comparison of EEGs of all

  14. Analysis of routine EEG usage in a general adult ICU.

    LENUS (Irish Health Repository)

    McHugh, J C

    2009-09-01

    Non-convulsive seizures and status epilepticus are common in brain-injured patients in intensive care units. Continuous electroencephalography (cEEG) monitoring is the most sensitive means of their detection. In centres where cEEG is unavailable, routine EEG is often utilized for diagnosis although its sensitivity is lower.

  15. EEG. Renewables Act. Comment. 3. new rev. and enl. ed.; EEG. Erneuerbare-Energien-Gesetz. Kommentar

    Energy Technology Data Exchange (ETDEWEB)

    Frenz, Walter [Rheinisch-Westfaelische Technische Hochschule (RWTH), Aachen (Germany). Lehr- und Forschungsgebiet Berg-, Umwelt- und Europarecht; Mueggenborg, Hans-Juergen (eds.) [Kassel Univ. (Germany)

    2013-05-01

    Like hardly any other law, the Renewable Energy Sources Law (EEG) is a subject to continuing modifications. This makes the application of the already complicated regulations even for experts to a special challenge. With the proven Berliner comment EEG, now a reliable companion through the bureaucratic jungle is available. All regulations of the EEG are commented precisely and easily to understand by profound experts. An extensive selection of terminology enables a rapid orientation within this book. In addition to the excursions to renewable energy technologies, this book also describes the structural aspects in the establishment of a photovoltaic system.

  16. Widespread EEG changes precede focal seizures.

    Directory of Open Access Journals (Sweden)

    Piero Perucca

    Full Text Available The process by which the brain transitions into an epileptic seizure is unknown. In this study, we investigated whether the transition to seizure is associated with changes in brain dynamics detectable in the wideband EEG, and whether differences exist across underlying pathologies. Depth electrode ictal EEG recordings from 40 consecutive patients with pharmacoresistant lesional focal epilepsy were low-pass filtered at 500 Hz and sampled at 2,000 Hz. Predefined EEG sections were selected immediately before (immediate preictal, and 30 seconds before the earliest EEG sign suggestive of seizure activity (baseline. Spectral analysis, visual inspection and discrete wavelet transform were used to detect standard (delta, theta, alpha, beta and gamma and high-frequency bands (ripples and fast ripples. At the group level, each EEG frequency band activity increased significantly from baseline to the immediate preictal section, mostly in a progressive manner and independently of any modification in the state of vigilance. Preictal increases in each frequency band activity were widespread, being observed in the seizure-onset zone and lesional tissue, as well as in remote regions. These changes occurred in all the investigated pathologies (mesial temporal atrophy/sclerosis, local/regional cortical atrophy, and malformations of cortical development, but were more pronounced in mesial temporal atrophy/sclerosis. Our findings indicate that a brain state change with distinctive features, in the form of unidirectional changes across the entire EEG bandwidth, occurs immediately prior to seizure onset. We postulate that these changes might reflect a facilitating state of the brain which enables a susceptible region to generate seizures.

  17. Widespread EEG Changes Precede Focal Seizures

    Science.gov (United States)

    Perucca, Piero; Dubeau, François; Gotman, Jean

    2013-01-01

    The process by which the brain transitions into an epileptic seizure is unknown. In this study, we investigated whether the transition to seizure is associated with changes in brain dynamics detectable in the wideband EEG, and whether differences exist across underlying pathologies. Depth electrode ictal EEG recordings from 40 consecutive patients with pharmacoresistant lesional focal epilepsy were low-pass filtered at 500 Hz and sampled at 2,000 Hz. Predefined EEG sections were selected immediately before (immediate preictal), and 30 seconds before the earliest EEG sign suggestive of seizure activity (baseline). Spectral analysis, visual inspection and discrete wavelet transform were used to detect standard (delta, theta, alpha, beta and gamma) and high-frequency bands (ripples and fast ripples). At the group level, each EEG frequency band activity increased significantly from baseline to the immediate preictal section, mostly in a progressive manner and independently of any modification in the state of vigilance. Preictal increases in each frequency band activity were widespread, being observed in the seizure-onset zone and lesional tissue, as well as in remote regions. These changes occurred in all the investigated pathologies (mesial temporal atrophy/sclerosis, local/regional cortical atrophy, and malformations of cortical development), but were more pronounced in mesial temporal atrophy/sclerosis. Our findings indicate that a brain state change with distinctive features, in the form of unidirectional changes across the entire EEG bandwidth, occurs immediately prior to seizure onset. We postulate that these changes might reflect a facilitating state of the brain which enables a susceptible region to generate seizures. PMID:24260523

  18. Importance of EEG in validating the chronic effects of drugs: suggestions from animal models of epilepsy treated with rapamycin.

    Science.gov (United States)

    Cambiaghi, Marco; Magri, Laura; Cursi, Marco

    2015-04-01

    The development of new drugs for the treatment of epilepsy is a major challenge for modern neurology and its first steps demand basic research. Preclinical studies on animal models of epilepsy are mainly based on the analysis of brain electrical activity to detect seizures, when they are not just limited to behavioral tests like the Racine scale. In the present review, we discuss the importance of using time-locked video and EEG recordings (Video-EEG) coupled with behavioral tests as tools to monitor and analyze the effects of anti-epileptic drugs in pre-clinical research. Particularly, we focus on the utility of a multimodal approach based on EEG/behavioral analysis to study the beneficial effects of chronic rapamycin treatment as a potential anti-epileptogenic therapy for a broad spectrum of epilepsy, including both genetic (as in tuberous sclerosis complex) and acquired diseases. Changes and synchronization of neuronal activity of different areas have been correlated with specific behavior in both physiological and pathological conditions. In the epileptic brain, during a seizure there is an abnormal activation of many cells all at once, altering different networks. A multimodal approach based on video, EEG analysis and behavioral tests would be the best option in preclinical studies of epilepsy. Copyright © 2015 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  19. The processing and transmission of EEG data

    Science.gov (United States)

    Schulze, A. E.

    1974-01-01

    Interest in sleep research was stimulated by the discovery of a number of physiological changes that occur during sleep and by the observed effects of sleep on physical and mental performance and status. The use of the relatively new methods of EEG measurement, transmission, and automatic scoring makes sleep analysis and categorization feasible. Sleep research involving the use of the EEG as a fundamental input has the potential of answering many unanswered questions involving physical and mental behavior, drug effects, circadian rhythm, and anesthesia.

  20. Automated analysis of EEG: opportunities and pitfalls.

    Science.gov (United States)

    Anderson, Nicholas R; Doolittle, Luke M

    2010-12-01

    Automated analysis is the transformation and representation of raw EEG data in an alternate form to allow clinicians to better or more quickly understand and interpret the data for diagnostic purposes. For the purposes of development, automated analysis encompasses everything from simple transforms such as the Fast Fourier Transform for isolating spectral components of EEG to full binary detectors. These analyses can help clinicians detect and diagnose clinical conditions such as seizures, traumatic brain injuries, and many other types of disease. In this article, opportunities and hazards will be examined as seen from the prospective of the automated analysis developer.

  1. Development of the EEG apportionment and the EEG differential costs through 2020; Die Entwicklung der EEG-Umlage und der EEG-Differenzkosten bis 2020

    Energy Technology Data Exchange (ETDEWEB)

    Kroll, Annette [Electrabel - GDF SUEZ S.A., Brussels (Belgium); Langrock, Thomas [GDF SUEZ Energie Deutschland AG, Berlin (Germany)

    2011-12-15

    Denial on the one hand and worst case scenarios on the other hand make it difficult for the observer to achieve a rational assessment of current energy policy, especially when it comes to the promotion of renewable energy sources and the German Renewables Act (EEG). This contribution attempts to help: It focuses on the direct cost of the EEG funding system. The scenarios are based on the National Renewable Energy Action Plan and the newly decided package of actions to help along the intended energy turnaround.

  2. Regional cerebral blood flow in various pediatric neurological patients using /sup 123/I-IMP SPECT

    Energy Technology Data Exchange (ETDEWEB)

    Konishi, Tohru; Naganuma, Yoshihiro; Hongou, Kazuhisa; Murakami, Miyako; Yamatani, Miwa; Okada, Toshio

    1988-03-01

    The recent development of a new radiopharmaceutical /sup 123/I-isopropyl-iodoamphetamine (IMP), which is taken up by the brain from the blood flow, has offered a possibility of constructing scintigraphy maps of regional cerebral blood flow (rCBF) using single photon emission CT. We used this mehtod in various pediatric neurological diseases. Six patients with cerebro-vascular disorders (moya-moya disease 2, infarction 3 and HHE syndrome 1), 6 patients with infectious diseases of CNS (acute encephalitis 4, septic meningitis 1 and SSPE 1) and a miscellaneous group of six patients were studied. The rCBF abnormalities in cerebro-vascular diseases were more extensive and frequent than x-ray CT abnormalities. Repeated studies of IMP-SPECT revealed usefulness for the understanding of changeable hemodynamic pathophysiology and for the judgment of theraptic effectiveness and prognosis. The rCBF decrease in infectious diseases tended to be more diffuse and slight than that in cerebro-vascular diseases. In almost all patients, the area of rCBF decrease coincided with the area of EEG slowing evaluated by EEG topographic analysis. Brain imaging using /sup 123/I-IMP SPECT may reveal functional abnormalities as well as organic lesions. /sup 123/I-IMP SPECT has introduced a new era for the useful application of nuclear medicine to the investigation of pediatric neurological diseases.

  3. Cortical EEG oscillations and network connectivity as efficacy indices for assessing drugs with cognition enhancing potential.

    Science.gov (United States)

    Ahnaou, A; Huysmans, H; Jacobs, T; Drinkenburg, W H I M

    2014-11-01

    Synchronization of electroencephalographic (EEG) oscillations represents a core mechanism for cortical and subcortical networks, and disturbance in neural synchrony underlies cognitive processing deficits in neurological and neuropsychiatric disorders. Here, we investigated the effects of cognition enhancers (donepezil, rivastigmine, tacrine, galantamine and memantine), which are approved for symptomatic treatment of dementia, on EEG oscillations and network connectivity in conscious rats chronically instrumented with epidural electrodes in different cortical areas. Next, EEG network indices of cognitive impairments with the muscarinic receptor antagonist scopolamine were modeled. Lastly, we examined the efficacy of cognition enhancers to normalize those aberrant oscillations. Cognition enhancers elicited systematic ("fingerprint") enhancement of cortical slow theta (4.5-6 Hz) and gamma (30.5-50 Hz) oscillations correlated with lower activity levels. Principal component analysis (PCA) revealed a compact cluster that corresponds to shared underlying mechanisms as compared to different drug classes. Functional network connectivity revealed consistent elevated coherent slow theta activity in parieto-occipital and between interhemispheric cortical areas. In rats instrumented with depth hippocampal CA1-CA3 electrodes, donepezil elicited similar oscillatory and coherent activities in cortico-hippocampal networks. When combined with scopolamine, the cognition enhancers attenuated the leftward shift in coherent slow delta activity. Such a consistent shift in EEG coherence into slow oscillations associated with altered slow theta and gamma oscillations may underlie cognitive deficits in scopolamine-treated animals, whereas enhanced coherent slow theta and gamma activity may be a relevant mechanism by which cognition enhancers exert their beneficial effect on plasticity and cognitive processes. The findings underscore that PCA and network connectivity are valuable tools to

  4. Small-world Characteristics of EEG Patterns in Post-Anoxic Encephalopathy

    Directory of Open Access Journals (Sweden)

    Martijn eBeudel

    2014-06-01

    Full Text Available Post-Anoxic Encephalopathy (PAE has a heterogenous outcome which is difficult to predict. At present, it is possible to predict poor outcome using somatosensory evoked potentials (SSEP in only a minority of the patients at an early stage. In addition, it remains difficult to predict good outcome at an early stage. Network architecture, as can be quantified with continuous electroencephalography (cEEG, may serve as a candidate measure for predicting neurological outcome. Here we explore whether cEEG monitoring can be used to detect the integrity of neural network architecture in patients with PAE after cardiac arrest. From 56 patients with PAE treated with mild therapeutic hypothermia (MTH, 19-channel cEEG data was recorded starting as soon as possible after cardiac arrest. Adjacency matrices of shared frequencies between 1 and 25 Hz of the EEG channels were obtained using Fourier transformations. Number of network nodes and connections, clustering coefficient (C, average path length (L and small-world index (SWI were derived. Outcome was quantified by the best Cerebral Performance Category (CPC-score within 6 months. Compared to non-survivors, survivors showed significantly more nodes and connections. L was significantly higher and C and SWI were significantly lower in the survivor group than in the non-survivor group. The number of nodes, connections and the L negatively correlated with the CPC-score. C and SWI correlated positively with the CPC-score. The combination of number of nodes, connections, C and L showed the most significant difference and correlation between survivors and non-survivors and CPC-score. Our data might implicate that non-survivors have insufficient distribution and differentiation of neural activity for regaining normal brain function. These network differences, already present during hypothermia, might be further developed as early prognostic markers. The predictive values are however still inferior to current practice

  5. Neurologic complications of sickle cell disease in Africa: A systematic review and meta-analysis.

    Science.gov (United States)

    Noubiap, Jean Jacques; Mengnjo, Michel K; Nicastro, Nicolas; Kamtchum-Tatuene, Joseph

    2017-10-03

    To summarize prevalence data on the neurologic complications of sickle cell disease (SCD) in Africa. We searched EMBASE, PubMed, and African Index Medicus to identify all relevant articles published from inception to May 31, 2016. Each study was reviewed for methodologic quality. A random-effects model was used to estimate the prevalence of neurologic complications of SCD across studies. Thirty-one studies were included. Methodologic quality was high or moderate in 90% of studies. Stroke, conditional and abnormal cerebral blood flow, seizures, and headache were the complications most frequently reported, with overall prevalence rates of 4.2%, 10.6%, 6.1%, 4.4%, and 18.9%, respectively. Some complications, like silent brain infarcts, peripheral neuropathies, neurocognitive deficits, or moyamoya disease, have been rarely or not studied at all in the African setting. Incidence data were scarce and of poor quality. The burden of neurologic complications of SCD is important in Africa and most likely underestimated. A better evaluation of this burden requires larger prospective studies using standard up-to-date screening methods. Accessibility to diagnostic tools such as neuroimaging, transcranial Doppler, EEG, and neuropsychological evaluation, as well as to preventive and therapeutic interventions and trained health care providers, should be improved in routine clinical practice. Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

  6. Speech and neurology-chemical impairment correlates

    Science.gov (United States)

    Hayre, Harb S.

    2002-05-01

    Speech correlates of alcohol/drug impairment and its neurological basis is presented with suggestion for further research in impairment from poly drug/medicine/inhalent/chew use/abuse, and prediagnosis of many neuro- and endocrin-related disorders. Nerve cells all over the body detect chemical entry by smoking, injection, drinking, chewing, or skin absorption, and transmit neurosignals to their corresponding cerebral subsystems, which in turn affect speech centers-Broca's and Wernick's area, and motor cortex. For instance, gustatory cells in the mouth, cranial and spinal nerve cells in the skin, and cilia/olfactory neurons in the nose are the intake sensing nerve cells. Alcohol depression, and brain cell damage were detected from telephone speech using IMPAIRLYZER-TM, and the results of these studies were presented at 1996 ASA meeting in Indianapolis, and 2001 German Acoustical Society-DEGA conference in Hamburg, Germany respectively. Speech based chemical Impairment measure results were presented at the 2001 meeting of ASA in Chicago. New data on neurotolerance based chemical impairment for alcohol, drugs, and medicine shall be presented, and shown not to fully support NIDA-SAMSHA drug and alcohol threshold used in drug testing domain.

  7. Staging neurological disorders: expressions of cognitive and motor disorder.

    Science.gov (United States)

    Archer, Trevor; Kostrzewa, Richard M

    2010-08-01

    In neurologic disorders, there are progressive losses in regional brain structural integrity, circuitry, and neuronal process that threaten individuals' ability to express functional capacity at several levels of severity. The classification of (a) patients on the basis of diagnosis, risk prognosis, and intervention outcome forms the basis of clinical staging and (b) laboratory animals on the basis of animal model of brain disorder, extent of insult and dysfunctional expression, provides the components for the clinical staging and preclinical staging, respectively, of the disease state with certain associated epidemiological, biological, and genetic characteristics. The investigation of epigenetics and biomarkers is intrinsic to any analysis of the progressive nature of the neurogenerative disorders, in the present account disorders relating to Alzheimer's disease, Parkinson's disease, depression, and diabetes.

  8. [Post-ischemia neurologic recovery].

    Science.gov (United States)

    Guiraud-Chaumeil, Bernard; Pariente, Jérémie; Albucher, Jean-François; Loubinoux, Isabelle; Chollet, François

    2002-01-01

    Stroke is one of the most common affliction of patients with neurological symptoms. Rehabilitation of stroke patients is a difficult task. Our knowledge on rehabilitation has recently improved with the emergence of data from new neuroimaging techniques. A prospective, double blind, cross over, placebo, controlled study on 8 patients with pure motor hemiparesia, is conducted to determine the influence of a single dose of fluoxetine on motor performance and cerebral activation of patients recovering from stroke. Each patient undergoes two functional magnetic resonance imaging (fMRI) examinations, one under fluoxetine and one under placebo. A single dose of fluoxetine is enough to modulate cerebral sensori-motor activation and significantly improves motor skills of the affected side. Further studies are required to investigate the effect of chronic administration of fluoxetine on motor function.

  9. Neurology of foreign language aptitude

    Directory of Open Access Journals (Sweden)

    Adriana Biedroń

    2015-01-01

    Full Text Available This state-of-the art paper focuses on the poorly explored issue of foreign language aptitude, attempting to present the latest developments in this field and reconceptualizations of the construct from the perspective of neuroscience. In accordance with this goal, it first discusses general directions in neurolinguistic research on foreign language aptitude, starting with the earliest attempts to define the neurological substrate for talent, sources of difficulties in the neurolinguistic research on foreign language aptitude and modern research methods. This is followed by the discussion of the research on the phonology of foreign language aptitude with emphasis on functional and structural studies as well as their consequences for the knowledge of the concept. The subsequent section presents the studies which focus on lexical and morphosyntactic aspects of foreign language aptitude. The paper ends with a discussion of the limitations of contemporary research, the future directions of such research and selec ed methodological issues.

  10. Aphasia, Just a Neurological Disorder?

    Directory of Open Access Journals (Sweden)

    Mehmet Ozdemir

    2016-02-01

    Full Text Available Hashimoto%u2019s encephalopathy (HE is a rare disorder associated with autoimmune thyroiditis. Etiology of HE is not completely understood. High levels of serum antithyroid antibodies are seen in HE. Presentation with otoimmune thyroiditis, cognitive impairment, psychiatric and neurologic symptoms and absence of bacterial or viral enfections are characteristics of HE. HE is a steroid responsive encephalopathy. 60 years old male patient admitted to hospital with forget fulness continuing for 9 months and speech loss starting 2 days ago. Strong positivity of antithyroid antibodies increases the odds for HE. Thyroid function tests showed severe hypothyroidism. Electroencephalography and magnetic resonance imaging results were compatible with HE. HE is diagnosed with differantial diagnosis and exclusion of other reasons. This uncommon disorder is not recognised enough. High titres of serum antithyroid antiboides are always needed for diagnosis. Correct diagnosis requires awareness of wide range of cognitive and clinical presentations of HE.

  11. Porphyria and its neurologic manifestations.

    Science.gov (United States)

    Tracy, Jennifer A; Dyck, P James B

    2014-01-01

    Porphyrias are rare disorders resulting from a defect in the heme biosynthetic pathway. They can produce significant disease of both the peripheral and central nervous systems, in addition to other organ systems, with acute intermittent porphyria, hereditary coproporphyria, and variegate porphyria as the subtypes associated with neurologic manifestations. The presence of a motor-predominant peripheral neuropathy (axonal predominant), accompanied by gastrointestinal distress and neuropsychiatric manifestations, should be a strong clue to the diagnosis of porphyria. Clinical confirmation can be made through evaluation of urine porphyrins during an exacerbation of disease. While hematin is helpful for acute treatment, long-term effective management requires avoidance of overstimulation of the cytochrome P450 pathway, as well as other risk factor control. © 2014 Elsevier B.V. All rights reserved.

  12. Artificial neural network based approach to EEG signal simulation.

    Science.gov (United States)

    Tomasevic, Nikola M; Neskovic, Aleksandar M; Neskovic, Natasa J

    2012-06-01

    In this paper a new approach to the electroencephalogram (EEG) signal simulation based on the artificial neural networks (ANN) is proposed. The aim was to simulate the spontaneous human EEG background activity based solely on the experimentally acquired EEG data. Therefore, an EEG measurement campaign was conducted on a healthy awake adult in order to obtain an adequate ANN training data set. As demonstration of the performance of the ANN based approach, comparisons were made against autoregressive moving average (ARMA) filtering based method. Comprehensive quantitative and qualitative statistical analysis showed clearly that the EEG process obtained by the proposed method was in satisfactory agreement with the one obtained by measurements.

  13. Artifact removal from EEG data with empirical mode decomposition

    Science.gov (United States)

    Grubov, Vadim V.; Runnova, Anastasiya E.; Efremova, Tatyana Yu.; Hramov, Alexander E.

    2017-03-01

    In the paper we propose the novel method for dealing with the physiological artifacts caused by intensive activity of facial and neck muscles and other movements in experimental human EEG recordings. The method is based on analysis of EEG signals with empirical mode decomposition (Hilbert-Huang transform). We introduce the mathematical algorithm of the method with following steps: empirical mode decomposition of EEG signal, choosing of empirical modes with artifacts, removing empirical modes with artifacts, reconstruction of the initial EEG signal. We test the method on filtration of experimental human EEG signals from movement artifacts and show high efficiency of the method.

  14. EEG. Renewables Act. Comment. 4. new rev. and enl. ed.; EEG. Erneuerbare-Energien-Gesetz. Kommentar

    Energy Technology Data Exchange (ETDEWEB)

    Frenz, Walter [RWTH Aachen Univ. (Germany). Lehr- und Forschungsgebiet Berg-, Umwelt- und Europarecht; Mueggenborg, Hans-Juergen [Technische Hochschule Aachen (Germany); Kassel Univ. (Germany); Cosack, Tilman [Hochschule Trier, Umwelt-Campus Birkenfeld (Germany). IREK - Inst. fuer das Recht der Erneuerbaren Energien, Energieeffizienzrecht und Klimaschutzrecht; Ekardt, Felix (ed.) [Forschungsstelle Nachhaltigkeit und Klimapolitik, Leipzig (Germany)

    2015-07-01

    Unlike any other Act, the Renewable Energy Sources Act (EEG) changes continuously. Recently it has been fundamentally transformed with the amendment 2014. Comprehensive, readable and practice-oriented. The proven Berliner comment EEG is your reliable companion through the new regulatory regime. All provisions of the EEG 2014 thorough and easy to understand commented by experts of the matter. 2. The EEG Amending Act of 29.6.2015 has already been considered. A detailed introduction and contributions to the relevant European law and the antitrust aspects of the renewable energy sources to guarantee you a broad understanding of the rules. Valuable background information you provide, the digressions of the most important renewable energy technologies, will explain the pictures thanks to numerous the scientific and technical foundations. Moreover you the construction law aspects in the construction of photovoltaic and wind turbines are explained clearly. [German] Wie kaum ein anderes Gesetz veraendert sich das Erneuerbare-Energien-Gesetz (EEG) laufend. Zuletzt wurde es mit der Novelle 2014 grundlegend umgestaltet. Umfassend, verstaendlich und praxisgerecht Der bewaehrte Berliner Kommentar EEG ist Ihr verlaesslicher Begleiter durch das neue Regelungsregime. Alle Vorschriften des EEG 2014 werden gruendlich und leicht verstaendlich von Kennern der Materie kommentiert. Das 2. EEG-Aenderungsgesetz vom 29.06.2015 ist bereits beruecksichtigt. Eine ausfuehrliche Einleitung sowie Beitraege zum einschlaegigen europaeischen Recht und zu den kartellrechtlichen Aspekten der erneuerbaren Energien verhelfen Ihnen zu einem breiten Verstaendnis der Vorschriften. Wertvolles Hintergrundwissen liefern Ihnen auch die Exkurse zu den wichtigsten Erneuerbare-Energien-Technologien, die Ihnen dank zahlreicher Abbildungen die naturwissenschaftlich-technischen Grundlagen erlaeutern. Zudem werden Ihnen die baurechtlichen Aspekte bei der Errichtung von Photovoltaik- und Windenergieanlagen

  15. Modification of EEG power spectra and EEG connectivity in autobiographical memory: a sLORETA study.

    Science.gov (United States)

    Imperatori, Claudio; Brunetti, Riccardo; Farina, Benedetto; Speranza, Anna Maria; Losurdo, Anna; Testani, Elisa; Contardi, Anna; Della Marca, Giacomo

    2014-08-01

    The aim of the present study was to explore the modifications of scalp EEG power spectra and EEG connectivity during the autobiographical memory test (AM-T) and during the retrieval of an autobiographical event (the high school final examination, Task 2). Seventeen healthy volunteers were enrolled (9 women and 8 men, mean age 23.4 ± 2.8 years, range 19-30). EEG was recorded at baseline and while performing the autobiographical memory (AM) tasks, by means of 19 surface electrodes and a nasopharyngeal electrode. EEG analysis was conducted by means of the standardized LOw Resolution Electric Tomography (sLORETA) software. Power spectra and lagged EEG coherence were compared between EEG acquired during the memory tasks and baseline recording. The frequency bands considered were as follows: delta (0.5-4 Hz); theta (4.5-7.5 Hz); alpha (8-12.5 Hz); beta1 (13-17.5 Hz); beta2 (18-30 Hz); gamma (30.5-60 Hz). During AM-T, we observed a significant delta power increase in left frontal and midline cortices (T = 3.554; p < 0.05) and increased EEG connectivity in delta band in prefrontal, temporal, parietal, and occipital areas, and for gamma bands in the left temporo-parietal regions (T = 4.154; p < 0.05). In Task 2, we measured an increased power in the gamma band located in the left posterior midline areas (T = 3.960; p < 0.05) and a significant increase in delta band connectivity in the prefrontal, temporal, parietal, and occipital areas, and in the gamma band involving right temporo-parietal areas (T = 4.579; p < 0.05). These results indicate that AM retrieval engages in a complex network which is mediated by both low- (delta) and high-frequency (gamma) EEG bands.

  16. EEG patterns from acute to chronic stroke phases in focal cerebral ischemic rats: correlations with functional recovery.

    Science.gov (United States)

    Zhang, Shao-jie; Ke, Zheng; Li, Le; Yip, Shea-ping; Tong, Kai-yu

    2013-04-01

    Monitoring the neural activities from the ischemic penumbra provides critical information on neurological recovery after stroke. The purpose of this study is to evaluate the temporal alterations of neural activities using electroencephalography (EEG) from the acute phase to the chronic phase, and to compare EEG with the degree of post-stroke motor function recovery in a rat model of focal ischemic stroke. Male Sprague-Dawley rats were subjected to 90 min transient middle cerebral artery occlusion surgery followed by reperfusion for seven days (n = 58). The EEG signals were recorded at the pre-stroke phase (0 h), acute phase (3, 6 h), subacute phase (12, 24, 48, 72 h) and chronic phase (96, 120, 144, 168 h) (n = 8). This study analyzed post-stroke seizures and polymorphic delta activities (PDAs) and calculated quantitative EEG parameters such as the alpha-to-delta ratio (ADR). The ADR represented the ratio between alpha power and delta power, which indicated how fast the EEG activities were. Forelimb and hindlimb motor functions were measured by De Ryck's test and the beam walking test, respectively. In the acute phase, delta power increased fourfold with the occurrence of PDAs, and the histological staining showed that the infarct was limited to the striatum and secondary sensory cortex. In the subacute phase, the alpha power reduced to 50% of the baseline, and the infarct progressed to the forelimb cortical region. ADRs reduced from 0.23 ± 0.09 to 0.04 ± 0.01 at 3 h in the acute phase and gradually recovered to 0.22 ± 0.08 at 168 h in the chronic phase. In the comparison of correlations between the EEG parameters and the limb motor function from the acute phase to the chronic phase, ADRs were found to have the highest correlation coefficients with the beam walking test (r = 0.9524, p EEG activities after focal cerebral ischemia and showed that functional recovery was closely correlated with the neural activities in the penumbra. Longitudinal EEG

  17. A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.

    Science.gov (United States)

    Li, Xiangxin; Samuel, Oluwarotimi Williams; Zhang, Xu; Wang, Hui; Fang, Peng; Li, Guanglin

    2017-01-07

    Most of the modern motorized prostheses are controlled with the surface electromyography (sEMG) recorded on the residual muscles of amputated limbs. However, the residual muscles are usually limited, especially after above-elbow amputations, which would not provide enough sEMG for the control of prostheses with multiple degrees of freedom. Signal fusion is a possible approach to solve the problem of insufficient control commands, where some non-EMG signals are combined with sEMG signals to provide sufficient information for motion intension decoding. In this study, a motion-classification method that combines sEMG and electroencephalography (EEG) signals were proposed and investigated, in order to improve the control performance of upper-limb prostheses. Four transhumeral amputees without any form of neurological disease were recruited in the experiments. Five motion classes including hand-open, hand-close, wrist-pronation, wrist-supination, and no-movement were specified. During the motion performances, sEMG and EEG signals were simultaneously acquired from the skin surface and scalp of the amputees, respectively. The two types of signals were independently preprocessed and then combined as a parallel control input. Four time-domain features were extracted and fed into a classifier trained by the Linear Discriminant Analysis (LDA) algorithm for motion recognition. In addition, channel selections were performed by using the Sequential Forward Selection (SFS) algorithm to optimize the performance of the proposed method. The classification performance achieved by the fusion of sEMG and EEG signals was significantly better than that obtained by single signal source of either sEMG or EEG. An increment of more than 14% in classification accuracy was achieved when using a combination of 32-channel sEMG and 64-channel EEG. Furthermore, based on the SFS algorithm, two optimized electrode arrangements (10-channel sEMG + 10-channel EEG, 10-channel sEMG + 20-channel

  18. Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation.

    Science.gov (United States)

    Kranczioch, Cornelia; Zich, Catharina; Schierholz, Irina; Sterr, Annette

    2014-01-01

    Studying the brain in its natural state remains a major challenge for neuroscience. Solving this challenge would not only enable the refinement of cognitive theory, but also provide a better understanding of cognitive function in the type of complex and unpredictable situations that constitute daily life, and which are often disturbed in clinical populations. With mobile EEG, researchers now have access to a tool that can help address these issues. In this paper we present an overview of technical advancements in mobile EEG systems and associated analysis tools, and explore the benefits of this new technology. Using the example of motor imagery (MI) we will examine the translational potential of MI-based neurofeedback training for neurological rehabilitation and applied research. © 2013.

  19. A close look at EEG in subacute sclerosing panencephalitis.

    Science.gov (United States)

    Demir, Nurhak; Cokar, Ozlem; Bolukbasi, Feray; Demirbilek, Veysi; Yapici, Zuhal; Yalcinkaya, Cengiz; Direskeneli, Guher Saruhan; Yentur, Sibel; Onal, Emel; Yilmaz, Gulden; Dervent, Aysin

    2013-08-01

    To define atypical clinical and EEG features of patients with subacute sclerosing panencephalitis that may require an overview of differential diagnosis. A total of 66 EEGs belonging to 53 (17 females and 36 males) consecutive patients with serologically confirmed subacute sclerosing panencephalitis were included in this study. Patient files and EEG data were evaluated retrospectively. EEGs included in the study were sleep-waking EEGs and/or sleep-waking video-EEG records with at least 2 hours duration. Cranial MRIs of the patients taken 2 months before or after the EEG records were included. Age range at the onset of the disease was 15 to 192 months (mean age: 80.02 months). Epilepsy was diagnosed in 21 (43%) patients. Among epileptic seizures excluding myoclonic jerks, generalized tonic-clonic type constituted the majority (58%). Tonic seizures were documented during the video-EEG recordings in four patients. Epileptogenic activities were found in 56 (83%) EEG recordings. They were localized mainly in frontal (58%), posterior temporal, parietal, occipital (26%), and centrotemporal (8%) regions. Multiple foci were detected in 26 recordings (39%). Epileptiform activities in the 39 (59%) EEGs appeared as unilateral or bilateral diffuse paroxysmal discharges. Recognition of uncommon clinical and EEG findings of subacute sclerosing panencephalitis, especially in countries where subacute sclerosing panencephalitis has not been eliminated yet, could be helpful in prevention of misdiagnosis and delay in the management of improvable conditions.

  20. Diagnostic yield of ambulatory EEGs in the elderly.

    Science.gov (United States)

    Tolchin, Benjamin; Lee, Jong Woo; Pavlova, Milena; Dworetzky, Barbara A; Sarkis, Rani A

    2017-07-01

    The diagnostic yield of ambulatory EEG in the elderly is not known. We sought to determine diagnostic yield and identify factors predicting diagnostic findings in this elderly population. We reviewed 156 consecutive 24-72h ambulatory EEGs performed on patients aged 60 or older. Of the 156 studies, 58 studies (37%) revealed potentially diagnostic findings: either epileptiform discharges, an epileptic seizure, or a typical nonepileptic event. Focal slowing on routine EEG predicted epileptiform abnormalities on ambulatory EEG with an odds ratio of 4.0 (95% CI 1.7-9.7, p=0.002). Age, the presence of a focal lesion on MRI, and duration of ambulatory EEG failed to predict epileptiform abnormalities on ambulatory EEG. Duration of ambulatory EEG predicted capture of a typical nonepileptic event with an odds ratio of 2.7 (95% CI 1.3-5.7, p=0.009) for every additional day of study duration. Focal slowing on routine EEGs may warrant an ambulatory EEG in the setting of diagnostic uncertainty. Longer ambulatory EEGs have a higher yield in capturing patients' typical non-epileptic events, and should be considered in patients where nonepileptic events are a likely diagnostic possibility. These findings offer guidance in the use of ambulatory EEGs in the elderly. Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

  1. Pediatric neurology of the dog and cat.

    Science.gov (United States)

    Lavely, James A

    2006-05-01

    The neurologic examination in the puppy or kitten can be a challenging experience. Understanding the development of behavior reflexes and movement in puppies and kittens enables us to overcome some of these challenges and to recognize the neurologically abnormal patient. Subsequently,we can identify the neuroanatomic localization and generate a differential diagnosis list. This article first reviews the pediatric neurologic examination and then discusses diseases unique to these individuals.

  2. EEG correlates of enhanced spatial performance following exposure to music.

    Science.gov (United States)

    Rideout, B E; Laubach, C M

    1996-04-01

    Previous research has shown that exposure to classical music can influence performance on a spatial task. The present study investigated EEG correlates of this enhanced performance effect, 4 female and 4 male undergraduates completed two equivalent spatial tests, one following a control procedure and one following the presentation of Mozart's Sonata for Two Pianos in D Major. EEG was recorded during a baseline and two task-performance periods. Test performance and EEG recordings were analyzed, and correlations were generated between task performance and EEG variables (average spectral power and peak frequency within 5 frequency ranges). Performance improved significantly following the presentation of the music. EEG analysis indicated 6 reliable correlations out of 40 calculated between differential EEG variables and changes in performance. Ten reliable correlations out of 120 were also found between changes in performance and nondifferential EEG variables across baseline, control, and experimental conditions.

  3. ORIGINAL ARTICLE EEG changes and neuroimaging abnormalities ...

    African Journals Online (AJOL)

    salah

    Background:Autism is currently viewed as a genetically determined neurode- velopmental disorder although its definite underlying etiology remains to be established. Aim of the Study: Our purpose was to assess autism related morphological neuroimaging changes of the brain and EEG abnormalities in correlation to the.

  4. Microneedle array electrode for human EEG recording.

    NARCIS (Netherlands)

    Lüttge, Regina; van Nieuwkasteele-Bystrova, Svetlana Nikolajevna; van Putten, Michel Johannes Antonius Maria; Vander Sloten, Jos; Verdonck, Pascal; Nyssen, Marc; Haueisen, Jens

    2009-01-01

    Microneedle array electrodes for EEG significantly reduce the mounting time, particularly by circumvention of the need for skin preparation by scrubbing. We designed a new replication process for numerous types of microneedle arrays. Here, polymer microneedle array electrodes with 64 microneedles,

  5. Spontaneous EEG activity and spontaneous emotion regulation.

    Science.gov (United States)

    Tortella-Feliu, M; Morillas-Romero, A; Balle, M; Llabrés, J; Bornas, X; Putman, P

    2014-12-01

    Variability in both frontal and parietal spontaneous EEG activity, using α and β band power and θ/β and δ/β ratios, was explored in a sample of 96 healthy volunteers as a potential correlate of individual differences in spontaneous emotion regulation (SER). Following a baseline EEG recording, participants were asked to continuously rate their discomfort while looking at affective pictures, as well as for a period of time after exposure. Greater spontaneous β band power in parietal locations, lower frontal and parietal δ/β ratios, and lower parietal θ/β ratio were associated with lower ratings of discomfort after the offset of unpleasant pictures. Moreover, lower parietal δ/β ratio was also related to less time needed to recover from discomfort after exposure to aversive pictures, while only a greater frontal and parietal α band power appeared to be associated with faster recovery from discomfort induced by normative-neutral pictures. However, parietal δ/β ratio was the only predictor of both minimum discomfort ratings and time needed to downregulate following exposure to unpleasant pictures, and frontal α band power the only spontaneous EEG index that predicted variability in spontaneous down-regulation after the exposure to normative-neutral pictures. Results are discussed focusing on the utility of diverse spontaneous EEG measures in several cortical regions when capturing trait-like individual differences in emotion regulation capabilities and processes. Copyright © 2014 Elsevier B.V. All rights reserved.

  6. Clinical neuropsychiatric correlates and EEG findings among ...

    African Journals Online (AJOL)

    This present study focuses on psychomotor developmental delays or disorders; which are divided into specific disorders in which only a single function is involved (such as language or motor) and global developmental disorder in which a wide range. Clinical neuropsychiatric correlates and EEG findings among children.

  7. Objective Audiometry using Ear-EEG

    DEFF Research Database (Denmark)

    Christensen, Christian Bech; Kidmose, Preben

    therefore be an enabling technology for objective audiometry out of the clinic, allowing regularly fitting of the hearing aids to be made by the users in their everyday life environment. The objective of this study is to investigate the application of ear-EEG in objective audiometry....

  8. Source localization of rhythmic ictal EEG activity

    DEFF Research Database (Denmark)

    Beniczky, Sándor; Lantz, Göran; Rosenzweig, Ivana

    2013-01-01

    Although precise identification of the seizure-onset zone is an essential element of presurgical evaluation, source localization of ictal electroencephalography (EEG) signals has received little attention. The aim of our study was to estimate the accuracy of source localization of rhythmic ictal ...

  9. Music Shifts Frontal EEG in Depressed Adolescents.

    Science.gov (United States)

    Field, Tiffany; Martinez, Alex; Nawrocki, Thomas; Pickens, Jeffrey; Fox, Nathan A.; Schanberg, Saul

    1998-01-01

    Fourteen chronically depressed female adolescents listened to rock music for a 23-minute session. EEG was recorded and saliva samples were collected to determine the effects of the music on stress hormone cortisol levels. No differences were reported for mood state; however, cortisol levels decreased and relative right-frontal activation was…

  10. 3D Printed Dry EEG Electrodes

    Directory of Open Access Journals (Sweden)

    Sammy Krachunov

    2016-10-01

    Full Text Available Electroencephalography (EEG is a procedure that records brain activity in a non-invasive manner. The cost and size of EEG devices has decreased in recent years, facilitating a growing interest in wearable EEG that can be used out-of-the-lab for a wide range of applications, from epilepsy diagnosis, to stroke rehabilitation, to Brain-Computer Interfaces (BCI. A major obstacle for these emerging applications is the wet electrodes, which are used as part of the EEG setup. These electrodes are attached to the human scalp using a conductive gel, which can be uncomfortable to the subject, causes skin irritation, and some gels have poor long-term stability. A solution to this problem is to use dry electrodes, which do not require conductive gel, but tend to have a higher noise floor. This paper presents a novel methodology for the design and manufacture of such dry electrodes. We manufacture the electrodes using low cost desktop 3D printers and off-the-shelf components for the first time. This allows quick and inexpensive electrode manufacturing and opens the possibility of creating electrodes that are customized for each individual user. Our 3D printed electrodes are compared against standard wet electrodes, and the performance of the proposed electrodes is suitable for BCI applications, despite the presence of additional noise.

  11. Illumination influences working memory: an EEG study.

    Science.gov (United States)

    Park, Jin Young; Min, Byoung-Kyong; Jung, Young-Chul; Pak, Hyensou; Jeong, Yeon-Hong; Kim, Eosu

    2013-09-05

    Illumination conditions appear to influence working efficacy in everyday life. In the present study, we obtained electroencephalogram (EEG) correlates of working-memory load, and investigated how these waveforms are modulated by illumination conditions. We hypothesized that illumination conditions may affect cognitive performance. We designed an EEG study to monitor and record participants' EEG during the Sternberg working memory task under four different illumination conditions. Illumination conditions were generated with a factorial design of two color-temperatures (3000 and 7100 K) by two illuminance levels (150 and 700 lx). During a working memory task, we observed that high illuminance led to significantly lower frontal EEG theta activity than did low illuminance. These differences persisted despite no significant difference in task performance between illumination conditions. We found that the latency of an early event-related potential component, such as N1, was significantly modulated by the illumination condition. The fact that the illumination condition affects brain activity but not behavioral performance suggests that the lighting conditions used in the present study did not influence the performance stage of behavioral processing. Nevertheless, our findings provide objective evidence that illumination conditions modulate brain activity. Further studies are necessary to refine the optimal lighting parameters for facilitating working memory. Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

  12. Misleading EEG Lateralization Associated With Midline Shift.

    Science.gov (United States)

    Ghearing, Gena R; Abramovici, Sergiu; Popescu, Alexandra; Baldwin, Maria E

    2017-11-01

    Midline discharges, lateralized periodic discharges, and seizures have been described with ipsilateral lesions that result in midline shift (MLS). Periodic discharges and seizures arising contralateral to a known lesion have not previously been described as a sign of MLS. We present four patients with focal brain lesions, resulting in MLS and epileptiform discharges arising from the contralateral hemisphere. Patient 1 underwent a right anterior temporal lobectomy. On postoperative day 2, computed tomography demonstrated a right to left MLS of 12 mm, and EEG was remarkable for left temporal nonconvulsive status epilepticus. Patient 2 experienced a subarachnoid hemorrhage, which was more prominent on the left. Computed tomography after craniotomy demonstrated left to right MLS of 6 mm, and EEG was remarkable for right lateralized periodic discharges. Patient 3 had a right subdural hematoma and underwent craniotomy for evacuation. On postoperative day 3, computed tomography demonstrated a right MLS of 7 mm, and EEG was remarkable for left temporal nonconvulsive status epilepticus. Patient 4 had traumatic brain hemorrhages with maximal left frontotemporal involvement. Six days after the trauma, computed tomography was significant for left to right MLS of 9 mm, and EEG showed right lateralized periodic discharges. Epileptiform discharges and seizures occurring contralateral to a known lesion may be an indicator of MLS.

  13. EEG-based characterization of flicker perception

    NARCIS (Netherlands)

    Lazo, M.; Tsoneva, T.; Garcia Molina, G.

    2013-01-01

    Steady-State Visual Evoked Potential (SSVEP) is an oscillatory electrical response appearing in the electroencephalogram (EEG) in response to flicker stimulation. The SSVEP manifests more prominently in electrodes located near the visual cortex and has oscillatory components at the stimulation

  14. Correlation between intra- and extracranial background EEG

    DEFF Research Database (Denmark)

    Duun-Henriksen, Jonas; Kjaer, Troels W.; Madsen, Rasmus E.

    2012-01-01

    Scalp EEG is the most widely used modality to record the electrical signals of the brain. It is well known that the volume conduction of these brain waves through the brain, cerebrospinal fluid, skull and scalp reduces the spatial resolution and the signal amplitude. So far the volume conduction...

  15. Time course of EEG oscillations during repeated listening of a well-known aria

    Directory of Open Access Journals (Sweden)

    Lutz eJäncke

    2015-07-01

    Full Text Available While previous studies have analyzed mean neurophysiological responses to musical stimuli, the current study aimed to identify specific time courses of EEG oscillations, which are associated with dynamic changes in the acoustic features of the musical stimulus. In addition, we were interested in whether these time courses change during a repeated presentation of the same musical piece. A total of 16 subjects repeatedly listened to the well-known aria Nessun dorma, sung by Paul Potts, while continuous 128-channel EEG and heart rate (HR, as well as electrodermal (EDA responses, were recorded. The time courses for the EEG oscillations were calculated using a time resolution of 1 second for several frequency bands, on the basis of individual alpha-peak frequencies (theta, low alpha-1, low alpha-2, upper alpha, and beta. For all frequency bands, we identified a more or less continuous increase in power relative to a baseline period, indicating strong event-related synchronization (ERS during music listening. The ERS time courses, however, did not correlate strongly with the time courses of the acoustic features of the aria. In addition, we did not observe changes in EEG oscillations after repeated presentation of the same musical piece. Aside from this distinctive feature, we identified a remarkable variability in EEG oscillations, both within and between the repeated presentations of the aria. We interpret the continuous increase in ERS observed in all frequency bands during music listening as an indicator of a particular neurophysiological and psychological state evoked by music listening. We suggest that this state is characterized by increased internal attention (accompanied by reduced external attention, increased inhibition of brain networks not involved in the generation of this internal state, the maintenance of a particular level of general alertness, and a type of brain state that can be described as mind wandering. The overall state can be

  16. A new wavelet transform to sparsely represent cortical current densities for EEG/MEG inverse problems.

    Science.gov (United States)

    Liao, Ke; Zhu, Min; Ding, Lei

    2013-08-01

    The present study investigated the use of transform sparseness of cortical current density on human brain surface to improve electroencephalography/magnetoencephalography (EEG/MEG) inverse solutions. Transform sparseness was assessed by evaluating compressibility of cortical current densities in transform domains. To do that, a structure compression method from computer graphics was first adopted to compress cortical surface structure, either regular or irregular, into hierarchical multi-resolution meshes. Then, a new face-based wavelet method based on generated multi-resolution meshes was proposed to compress current density functions defined on cortical surfaces. Twelve cortical surface models were built by three EEG/MEG softwares and their structural compressibility was evaluated and compared by the proposed method. Monte Carlo simulations were implemented to evaluate the performance of the proposed wavelet method in compressing various cortical current density distributions as compared to other two available vertex-based wavelet methods. The present results indicate that the face-based wavelet method can achieve higher transform sparseness than vertex-based wavelet methods. Furthermore, basis functions from the face-based wavelet method have lower coherence against typical EEG and MEG measurement systems than vertex-based wavelet methods. Both high transform sparseness and low coherent measurements suggest that the proposed face-based wavelet method can improve the performance of L1-norm regularized EEG/MEG inverse solutions, which was further demonstrated in simulations and experimental setups using MEG data. Thus, this new transform on complicated cortical structure is promising to significantly advance EEG/MEG inverse source imaging technologies. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  17. [Neurological deficits in patients with primary and secondary anticardiolipin syndrome].

    Science.gov (United States)

    Honczarenko, K; Ostanek, L; Grzelec, H; Fabian, A; Fiedorowicz-Fabrycy, I; Fryze, C

    2001-01-01

    27 patients (22 women, 5 men); age 17 to 56 yr. (mean age 37 yr.) were included in this study, 4 had primary antiphospholipid syndrome and 18 secondary antiphospholipid syndrome in the course of systemic connective tissue disease and in 5 cases increased levels of anticardiolipid antibodies were found which did not meet the criteria necessary for diagnosis of secondary antiphospholipid syndrome. The mean duration of the disease was 8 yrs. Among primary antiphospholipid syndrome patients two had ischaemic stroke, one migraine-like headache and seizures. 18 patients had lupus erythematosus, two mixed connective tissue disease, one rheumatoid arthritis, one Sjögren syndrome, one Behçet disease. In 55% of patients migraine-like headache, polyneuropathies, encephalophaties, stroke, seizures and vision disturbances were present. In 18.5% of patients EEG exam revealed focal lesions with tendency for generalisation. On brain stem auditory evoked potentials examination, in 11.1% of patients conductivity lesions in mesencephalon and pons were found, visual evoked potentials, in 11.1% of patients in visual tracts. In 37% of patients, neuropathy was found on EMG exam. Neurological symptoms are one of the most frequent disorders in systemic connective tissue disease associated with the presence of anicardiolipin antibodies.

  18. Yellow fever vaccine-associated neurological disease, a suspicious case.

    Science.gov (United States)

    Beirão, Pedro; Pereira, Patrícia; Nunes, Andreia; Antunes, Pedro

    2017-03-02

    A 70-year-old man with known cardiovascular risk factors, presented with acute onset expression aphasia, agraphia, dyscalculia, right-left disorientation and finger agnosia, without fever or meningeal signs. Stroke was thought to be the cause, but cerebrovascular disease investigation was negative. Interviewing the family revealed he had undergone yellow fever vaccination 18 days before. Lumbar puncture revealed mild protein elevation. Cultural examinations, Coxiella burnetti, and neurotropic virus serologies were negative. Regarding the yellow fever virus, IgG was identified in serum and cerebrospinal fluid (CSF), with negative IgM and virus PCR in CSF. EEG showed an encephalopathic pattern. The patient improved gradually and a week after discharge was his usual self. Only criteria for suspect neurotropic disease were met, but it's possible the time spent between symptom onset and lumbar puncture prevented a definite diagnosis of yellow fever vaccine-associated neurological disease. This gap would have been smaller if the vaccination history had been collected earlier. 2017 BMJ Publishing Group Ltd.

  19. Sleep Disorders in Childhood Neurological Diseases

    Directory of Open Access Journals (Sweden)

    Abdullah Tolaymat

    2017-09-01

    Full Text Available Sleep problems are frequently addressed as a primary or secondary concern during the visit to the pediatric neurology clinic. Sleep disorders can mimic other neurologic diseases (e.g., epilepsy and movement disorders, and this adds challenges to the diagnostic process. Sleep disorders can significantly affect the quality of life and functionality of children in general and those with comorbid neurological diseases in particular. Understanding the pathophysiology of sleep disorders, recognizing the implications of sleep disorder in children with neurologic diseases and behavioral difficulties, and early intervention continue to evolve resulting in better neurocognitive outcomes.

  20. Challenges in neurological practice in developing countries.

    Science.gov (United States)

    Pandey, Sanjay

    2012-01-01

    The burden of neurological illness is much higher in developing countries. Neurological disorders in these countries are mainly due to poverty and malnutrition. Spectrums of diseases are also different in comparison with developed countries. Lack of resources, ignorance, and overpopulation make it very difficult and challenging to tackle this problem. Majority of the patients are seen by general practitioners who have little knowledge about neurological illnesses. Most of the countries have very few or no neurologist. There is a greater need of taking neurological care at primary care level where majority of the patients struggle with epilepsy, stroke and neuroinfections.

  1. EEG correlates of postural audio-biofeedback.

    Science.gov (United States)

    Pirini, Marco; Mancini, Martina; Farella, Elisabetta; Chiari, Lorenzo

    2011-04-01

    The control of postural sway depends on the dynamic integration of multi-sensory information in the central nervous system. Augmentation of sensory information, such as during auditory biofeedback (ABF) of the trunk acceleration, has been shown to improve postural control. By means of quantitative electroencephalography (EEG), we examined the basic processes in the brain that are involved in the perception and cognition of auditory signals used for ABF. ABF and Fake ABF (FAKE) auditory stimulations were delivered to 10 healthy naive participants during quiet standing postural tasks, with eyes-open and closed. Trunk acceleration and 19-channels EEG were recorded at the same time. Advanced, state-of-the-art EEG analysis and modeling methods were employed to assess the possibly differential, functional activation, and localization of EEG spectral features (power in α, β, and γ bands) between the FAKE and the ABF conditions, for both the eyes-open and the eyes-closed tasks. Participants gained advantage by ABF in reducing their postural sway, as measured by a reduction of the root mean square of trunk acceleration during the ABF compared to the FAKE condition. Population-wise localization analysis performed on the comparison FAKE - ABF revealed: (i) a significant decrease of α power in the right inferior parietal cortex for the eyes-open task; (ii) a significant increase of γ power in left temporo-parietal areas for the eyes-closed task; (iii) a significant increase of γ power in the left temporo-occipital areas in the eyes-open task. EEG outcomes supported the idea that ABF for postural control heavily modulates (increases) the cortical activation in healthy participants. The sites showing the higher ABF-related modulation are among the known cortical areas associated with multi-sensory, perceptual integration, and sensorimotor integration, showing a differential activation between the eyes-open and eyes-closed conditions. Copyright © 2010 Elsevier B.V. All

  2. The AASM recommended and acceptable EEG montages are comparable for the staging of sleep and scoring of EEG arousals.

    Science.gov (United States)

    Duce, Brett; Rego, Conchita; Milosavljevic, Jasmina; Hukins, Craig

    2014-07-15

    To examine the measurement differences in sleep and EEG arousal statistics between the American Academy of Sleep Medicine (AASM) recommended EEG montage (F4-M1, C4-M1, O2-M1) and acceptable EEG montage (Fz-Cz, C4-M1, Oz-Cz). Prospective, blinded, randomized comparison. Australian clinical sleep laboratory in a tertiary hospital. 50 consecutive patients undertaking polysomnography (PSG) for the clinical suspicion of sleep disordered breathing. N/A. Patient EEGs were recorded using both the AASM recommended and acceptable EEG montages during the PSG. Two scorers were used to examine the difference in PSG statistics using the two EEG montages. The scorers analyzed the 50 studies using the two EEG montages. Ten of the studies were scored twice for each montage by each scorer to calculate intra-scorer and inter-scorer agreement. No statistically significant differences were observed between the PSG statistics of the recommended and acceptable EEG montages. The recommended EEG montage had greater inter-scorer agreement but no difference in intra-scorer agreement. This study demonstrates that the two EEG montages endorsed by the AASM Manual produce similar sleep and EEG arousal statistics.

  3. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy - A comparison with scalp EEG monitoring.

    Science.gov (United States)

    Zibrandtsen, I C; Kidmose, P; Christensen, C B; Kjaer, T W

    2017-12-01

    Ear-EEG is recording of electroencephalography from a small device in the ear. This is the first study to compare ictal and interictal abnormalities recorded with ear-EEG and simultaneous scalp-EEG in an epilepsy monitoring unit. We recorded and compared simultaneous ear-EEG and scalp-EEG from 15 patients with suspected temporal lobe epilepsy. EEGs were compared visually by independent neurophysiologists. Correlation and time-frequency analysis was used to quantify the similarity between ear and scalp electrodes. Spike-averages were used to assess similarity of interictal spikes. There were no differences in sensitivity or specificity for seizure detection. Mean correlation coefficient between ear-EEG and nearest scalp electrode was above 0.6 with a statistically significant decreasing trend with increasing distance away from the ear. Ictal morphology and frequency dynamics can be observed from visual inspection and time-frequency analysis. Spike averages derived from ear-EEG electrodes yield a recognizable spike appearance. Our results suggest that ear-EEG can reliably detect electroencephalographic patterns associated with focal temporal lobe seizures. Interictal spike morphology from sufficiently large temporal spike sources can be sampled using ear-EEG. Ear-EEG is likely to become an important tool in clinical epilepsy monitoring and diagnosis. Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

  4. Localization of epileptogenic zones in Lennox-Gastaut syndrome (LGS) using graph theoretical analysis of ictal intracranial EEG: a preliminary investigation.

    Science.gov (United States)

    Kim, Jeong-Youn; Kang, Hoon-Chul; Kim, Kiwoong; Kim, Heung Dong; Im, Chang-Hwan

    2015-01-01

    Precise localization of epileptogenic zones is essential for the successful surgical treatment of refractory epilepsy including Lennox-Gastaut syndrome (LGS). The surgical resection areas are generally determined by epileptologists based on diverse neuroimaging modalities; however, exact epileptogenic zones cannot be accurately localized in many patients with LGS using the conventional methods. Therefore, new reliable algorithms are still required for enhancing the success rate of the resective epilepsy surgery. In the present study, we introduce an approach to localize epileptogenic zones in LGS based on the graph theoretical analysis of ical intracranial EEG (iEEG). Four patients with LGS who became seizure-free after the resective epilepsy surgery were selected. Before the surgery, their epileptogenic zones were delineated using EEG, iEEG, and several conventional imaging modalities. Phase locking value (PLV) analysis was applied to construct functional connectivity networks during ictal events, and then several graph theoretical indices including betweenness centrality (BC) were evaluated for each iEEG sensor to find the primary hubs of the ictal epileptic network. The graph theoretical index values were then overlaid on 3D individual cortical surface. The iEEG channels with high BC values coincided well with the surgical resection areas. Among various graph theoretical measures such as local efficiency, participation coefficient, and eigenvector centrality, only BC showed fair correspondence with the surgical resection areas. The primary hubs in the ictal epileptic networks coincided well with areas of surgical resection in LGS patients with successful surgical outcomes. This observation warrants further studies to determine if the graph theoretical network analysis of ictal iEEG recordings can serve as a new auxiliary tool to localize epileptogenic zones in LGS. Copyright © 2014 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights

  5. The use of EEG parameters as predictors of drug effects on cognition.

    Science.gov (United States)

    Blokland, Arjan; Prickaerts, Jos; van Duinen, Marlies; Sambeth, Anke

    2015-07-15

    It has been shown to be difficult to predict whether cognition-enhancing effects of drugs in animal studies have the same effect in humans. Various issues in translating findings from animal to human studies can be identified. Here we discuss whether EEG could be considered as a possible tool to translate the effects of cognition enhancers across species. Three different aspects of EEG measures are evaluated: frequency bands, event-related potentials, and coherence analysis. On basis of the comparison of these measures between species, and effects of drugs that improve or impair memory performance (mainly cholinergic drugs), it appears that event-related potentials and coherence analyses could be considered as potential translational tools to study cognition-enhancing drug effects in rodents and animals. Copyright © 2015 Elsevier B.V. All rights reserved.

  6. Grid connection and EEG plants; Netzanschluss von EEG-Anlagen

    Energy Technology Data Exchange (ETDEWEB)

    Schlabbach, Juergen

    2013-04-01

    Recently, the significance of renewable energy sources for the supply of electric power in Germany has increased. On the basis of physical-technical connections of the photovoltaic power, wind power and hydropower, the author of the contribution under consideration reports on the typical technical design of these power plants. The features in the evaluation of the grid compatibility of the connection as well as the grid connection conditions of generation facilities are described which are predetermined by technical regulations and regulations for different voltage levels. Special questions concerning the projection of the grid connection also are considered as well as the calculation of the grid impedance, protection layout and the resilience of overhead lines and cables.

  7. PYRITINOL USAGE IN PEDIATRIC NEUROLOGY

    Directory of Open Access Journals (Sweden)

    N. N. Zavadenko

    2013-01-01

    Full Text Available Treatment of developmental disorders, correction of learning disabilities and behavioral problems in children should be prompt, complex and include pharmacotherapy with nootropic agents. The results of recent studies shown in this review proved effectiveness of pharmacotherapy with pyritinol in children with perinatal injury of central nervous system and its consequences, psychomotor and speech development delay, dyslexia, attention deficit/hyperactivity disorder, cognitive disorders and learning disabilities (including manifestations of epilepsy, chronic tic disorders and Tourette syndrome. Due to its ability to optimize metabolic processes in central nervous system, pyritinol is used in treatment of vegetative dysfunction in children and adolescents, especially associated with asthenical manifestations, as well as in complex therapy of exertion headache and migraine. The drug is effective in treatment of cognitive disorders in children and adolescents with epilepsy, pyritinol was administered without changing of the basic anticonvulsive therapy and no deterioration (increase of severity of seizures or intensity of epileptiform activity on electroencephalogramms was observed. Significant nootropic effect of pyritinol, including neurometabolic, neuroprotective, neurodynamic and other mechanisms, in association with safety and rare side effects of this drug determines its wide usage in pediatric neurology.

  8. Toward a Neurology of Loneliness

    Science.gov (United States)

    Cacioppo, Stephanie; Capitanio, John P.; Cacioppo, John T.

    2016-01-01

    Social isolation has been recognized as a major risk factor for morbidity and mortality in humans for more than a quarter century. The brain is the key organ of social connections and processes, however, and the same objective social relationship can be experienced as caring and protective or as exploitive and isolating. We review evidence that the perception of social isolation (i.e., loneliness) impacts brain and behavior and is a risk factor for broad-based morbidity and mortality. However, the causal role of loneliness on neural mechanisms and mortality is difficult to test conclusively in humans. Mechanistic animal studies provide a lens through which to evaluate the neurological effects of a member of a social species living chronically on the social perimeter. Experimental studies show that social isolation produces significant changes in brain structures and processes in adult social animals. These effects are not uniform across the brain or across species but instead are most evident in brain regions that reflect differences in the functional demands of solitary versus social living for a particular species. The human and animal literatures have developed independently, however, and significant gaps also exist. The current review underscores the importance of integrating human and animal research to delineate the mechanisms through which social relationships impact the brain, health, and well-being. PMID:25222636

  9. Endocannabinoid System in Neurological Disorders.

    Science.gov (United States)

    Ranieri, Roberta; Laezza, Chiara; Bifulco, Maurizio; Marasco, Daniela; Malfitano, Anna M

    2016-01-01

    Several studies support the evidence that the endocannabinoid system and cannabimimetic drugs might have therapeutic potential in numerous pathologies. These pathologies range from neurological disorders, atherosclerosis, stroke, cancer to obesity/metabolic syndrome and others. In this paper we review the endocannabinoid system signaling and its alteration in neurodegenerative disorders like multiple sclerosis, Alzheimer's disease, Parkinson's disease and Huntington's disease and discuss the main findings about the use of cannabinoids in the therapy of these pathologies. Despite different etiologies, neurodegenerative disorders exhibit similar mechanisms like neuro-inflammation, excitotoxicity, deregulation of intercellular communication, mitochondrial dysfunction and disruption of brain tissue homeostasis. Current treatments ameliorate the symptoms but are not curative. Interfering with the endocannabinoid signaling might be a valid therapeutic option in neuro-degeneration. To this aim, pharmacological intervention to modulate the endocannabinoid system and the use of natural and synthetic cannabimimetic drugs have been assessed. CB1 and CB2 receptor signaling contributes to the control of Ca2+ homeostasis, trophic support, mitochondrial activity, and inflammatory conditions. Several studies and patents suggest that the endocannabinoid system has neuro-protective properties and might be a target in neurodegenerative diseases.

  10. EEG sensorimotor correlates of translating sounds into actions

    Directory of Open Access Journals (Sweden)

    Jaime A. Pineda

    2013-12-01

    Full Text Available Understanding the actions of others is a necessary foundational cornerstone for effective and affective social interactions. Such understanding may result from a mapping of observed actions as well as heard sounds onto one’s own motor representations of those events. To examine the electrophysiological basis of action-related sounds, EEG data were collected in two studies from adults who were exposed to auditory events in one of three categories: action (either hand- or mouth-based sounds, non-action (environmental sounds, and control sounds (scrambled versions of action sounds. In both studies, triplets of sounds of the same category were typically presented, although occasionally, to insure an attentive state, trials containing a sound from a different category were presented within the triplet and participants were asked to respond to this oddball event either covertly in one study or overtly in another. Additionally, participants in both studies were asked to mimic hand- and mouth-based motor actions associated with the sounds (motor task. Action sounds elicited larger EEG mu rhythm (8-13 Hz suppression, relative to control sounds, primarily over left hemisphere, while non-action sounds showed larger mu suppression primarily over right hemisphere. Furthermore, hand-based sounds elicited greater mu suppression over the hand area in sensorimotor cortex compared to mouth-based sounds. These patterns of mu suppression across cortical regions to different categories of sounds and to effector-specific sounds suggest differential engagement of a mirroring system in the human brain when processing sounds.

  11. THE NEUROLOGICAL FACE OF CELIAC DISEASE

    Directory of Open Access Journals (Sweden)

    Sedat IŞIKAY

    2015-09-01

    Full Text Available BackgroundSeveral neurological disorders have also been widely described in celiac disease patients.ObjectiveThe aim of this study was to determine the incidence of accompanying different neurologic manifestations in children with celiac disease at the time of diagnosis and to discuss these manifestations in the light of the recent literature.MethodsThis prospective cross sectional study included 297 children diagnosed with celiac disease. The medical records of all patients were reviewed.ResultsIn neurological evaluation, totally 40 (13. 5% of the 297 celiac patients had a neurological finding including headache, epilepsy, migraine, mental retardation, breath holding spells, ataxia, cerebral palsy, attention deficit hyperactivity disorder, Down syndrome and Turner syndrome in order of frequency. There was not any significant difference between the laboratory data of the patients with and without neurological manifestations. However; type 3a biopsy was statistically significantly more common among patients without neurological manifestations, while type 3b biopsy was statistically significantly more common among patients with neurological manifestations.ConclusionIt is important to keep in mind that in clinical course of celiac disease different neurological manifestations may be reported.

  12. Task analysis in neurosciences programme design - neurological ...

    African Journals Online (AJOL)

    Defining educational objectives is the key to achieving the goal of professional competence in students. The technique of task analysis was selected to determine components of competence in clinical neurology appropriate to the needs of primary care. A survey of neurological problems in general practice revealed that ...

  13. Archives: African Journal of Neurological Sciences

    African Journals Online (AJOL)

    Items 1 - 28 of 28 ... Archives: African Journal of Neurological Sciences. Journal Home > Archives: African Journal of Neurological Sciences. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register · Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue ...

  14. Suspecting Neurological Dysfunction From E Mail Messages ...

    African Journals Online (AJOL)

    A non medical person suspected and confirmed neurological dysfunction in an individual, based only on e mail messages sent by the individual. With email communication becoming rampant “peculiar” email messages may raise the suspicion of neurological dysfunction. Organic pathology explaining the abnormal email ...

  15. Neurological and neurosurgical manifestations of human ...

    African Journals Online (AJOL)

    adults in Abidjan, Cote d'Ivoire and in Kinshasa and among inpatients in Ugandan hospitals. Ninety per cent of deaths ... various parts of the continent. Neurological manifestations. The spectrum of neurological diseases reported in ... Primary effects of HIV. HEADACHE. Case report. A Malawian 46-year-old male senior ...

  16. Kombinasi Sinyal EEG dan Giroskop untuk Kendali Mobil Virtual dengan Menggunakan Modifikasi ICA dan SVM

    OpenAIRE

    Musthafa, Ahmad Reza; Tjandrasa, Handayani

    2016-01-01

    . Penelitian berbasis sinyal Electroencephalogram (EEG) telah banyak diteliti dan dikembangkan pada berbagai bidang ilmu pengetahuan. Sinyal EEG dapat diklasifikasikan ke dalam bentuk informasi untuk pengaplikasian topik Brain Computer Interface (BCI). Pada penelitian ini difokuskan pada topik pengendalian mobil menggunakan perintah sinyal EEG. Terdapat beberapa pendekatan dalam klasifikasi sinyal EEG, tetapi beberapa pendekatan tersebut tidak robust terhadap sinyal EEG yang memiliki banyak a...

  17. Child Neurology Education for Pediatric Residents.

    Science.gov (United States)

    Albert, Dara V F; Patel, Anup D; Behnam-Terneus, Maria; Sautu, Beatriz Cunill-De; Verbeck, Nicole; McQueen, Alisa; Fromme, H Barrett; Mahan, John D

    2017-03-01

    The aim of this study was to evaluate whether the current state of child neurology education during pediatric residency provides adequate preparation for pediatric practice. A survey was sent to recent graduates from 3 pediatric residency programs to assess graduate experience, perceived level of competence, and desire for further education in child neurology. Responses from generalists versus subspecialists were compared. The response rate was 32%, half in general pediatric practice. Only 22% feel very confident in approaching patients with neurologic problems. This may represent the best-case scenario as graduates from these programs had required neurology experiences, whereas review of Accreditation Council of Graduate Medical Education-accredited residency curricula revealed that the majority of residencies do not. Pediatric neurologic problems are common, and pediatric residency graduates do encounter such problems in practice. The majority of pediatricians report some degree of confidence; however, some clear areas for improvement are apparent.

  18. Liposomes and nanotechnology in drug development: focus on neurological targets.

    Science.gov (United States)

    Ramos-Cabrer, Pedro; Campos, Francisco

    2013-01-01

    Neurological diseases represent a medical, social, and economic problem of paramount importance in developed countries. Although their etiology is generally known, developing therapeutic interventions for the central nervous system is challenging due to the impermeability of the blood-brain barrier. Thus, the fight against neurological diseases usually struggles "at the gates" of the brain. Flooding the bloodstream with drugs, where only a minor fraction reaches its target therapeutic site, is an inefficient, expensive, and dangerous procedure, because of the risk of side effects at nontargeted sites. Currently, advances in the field of nanotechnology have enabled development of a generation of multifunctional molecular platforms that are capable of transporting drugs across the blood-brain barrier, targeting specific cell types or functional states within the brain, releasing drugs in a controlled manner, and enabling visualization of processes in vivo using conventional imaging systems. The marriage between drug delivery and molecular imaging disciplines has resulted in a relatively new discipline, known as theranostics, which represents the basis of the concept of personalized medicine. In this study, we review the concepts of the blood-brain barrier and the strategies used to traverse/bypass it, the role of nanotechnology in theranostics, the wide range of nanoparticles (with emphasis on liposomes) that can be used as stealth drug carriers, imaging probes and targeting devices for the treatment of neurological diseases, and the targets and targeting strategies envisaged in the treatment of different types of brain pathology.

  19. Spasmodic dysphonia: description of the disease and associated neurologic disorders

    Directory of Open Access Journals (Sweden)

    Coelho, Marina Serrato

    2010-06-01

    Full Text Available Introduction: Spasmodic dysphonia (SD is a problem that affects speech and vocalization, one of the most devastating disorders of oral communication. It is characterized by vocal quality tensaestrangulada, harshly and / or interspersed with abrupt vocal attack and a great tension in the vocal tract. The etiology of spasmodic dysphonia is unclear. Some authors point to psychogenic causes, neurological or even unknown. Objective: To assess the prevalence of muscular dystonias and other neurological symptoms in patients with ED. Method: A retrospective study of 10 cases with diagnosis of ED for symptoms and neurological disorders associated. Results: There was a significant predominance of the disease in females (9:1. The average age of onset of symptoms was 32 years, ranging between 14 and 60 years. The mean disease duration was 10 years. Among the patients, 87.5% had a diagnosis of disorders of movement made by a neurologist, including orofacial dystonias (50%, essential tremor (50% and spastic paraparesis (12%. Conclusion: The presence of movement disorders followed almost all cases of spasmodic dysphonia. More studies are needed to clarify the pathophysiological basis of disease.

  20. Donepezil Impairs Memory in Healthy Older Subjects: Behavioural, EEG and Simultaneous EEG/fMRI Biomarkers

    Science.gov (United States)

    Balsters, Joshua H.; O'Connell, Redmond G.; Martin, Mary P.; Galli, Alessandra; Cassidy, Sarah M.; Kilcullen, Sophia M.; Delmonte, Sonja; Brennan, Sabina; Meaney, Jim F.; Fagan, Andrew J.; Bokde, Arun L. W.; Upton, Neil; Lai, Robert; Laruelle, Marc; Lawlor, Brian; Robertson, Ian H.

    2011-01-01

    Rising life expectancies coupled with an increasing awareness of age-related cognitive decline have led to the unwarranted use of psychopharmaceuticals, including acetylcholinesterase inhibitors (AChEIs), by significant numbers of healthy older individuals. This trend has developed despite very limited data regarding the effectiveness of such drugs on non-clinical groups and recent work indicates that AChEIs can have negative cognitive effects in healthy populations. For the first time, we use a combination of EEG and simultaneous EEG/fMRI to examine the effects of a commonly prescribed AChEI (donepezil) on cognition in healthy older participants. The short- and long-term impact of donepezil was assessed using two double-blind, placebo-controlled trials. In both cases, we utilised cognitive (paired associates learning (CPAL)) and electrophysiological measures (resting EEG power) that have demonstrated high-sensitivity to age-related cognitive decline. Experiment 1 tested the effects of 5 mg/per day dosage on cognitive and EEG markers at 6-hour, 2-week and 4-week follow-ups. In experiment 2, the same markers were further scrutinised using simultaneous EEG/fMRI after a single 5 mg dose. Experiment 1 found significant negative effects of donepezil on CPAL and resting Alpha and Beta band power. Experiment 2 replicated these results and found additional drug-related increases in the Delta band. EEG/fMRI analyses revealed that these oscillatory differences were associated with activity differences in the left hippocampus (Delta), right frontal-parietal network (Alpha), and default-mode network (Beta). We demonstrate the utility of simple cognitive and EEG measures in evaluating drug responses after acute and chronic donepezil administration. The presentation of previously established markers of age-related cognitive decline indicates that AChEIs can impair cognitive function in healthy older individuals. To our knowledge this is the first study to identify the precise

  1. Solving the puzzle of neurological diseases: an interview with Huda Zoghbi

    Directory of Open Access Journals (Sweden)

    Huda Y. Zoghbi

    2017-05-01

    Full Text Available Huda Zoghbi's achievements in the field of neurology are internationally acclaimed. She is best known for elucidating the genetic basis of two complex neurological disorders, spinocerebellar ataxia type 1 and Rett syndrome, and has been honored with many prizes, including The Shaw Prize in Life Science and Medicine in 2016 and the 2017 Breakthrough Prize for Life Sciences. A diligent and creative research scientist at the bench, a respected lab mentor and founding Director of the Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, her inspiration has always been the burning need to help patients faced with devastating neurological problems. Her pursuit of the mechanisms mediating spinocerebellar ataxia and Rett syndrome has been dogged, requiring 30 years of focused effort. As highlighted in this interview, her work is now paying dividends by starting to reveal potential therapeutic targets for these intractable and complex disorders.

  2. Biogas plants in EEG. 4. new rev. and enl. ed.; Biogasanlagen im EEG

    Energy Technology Data Exchange (ETDEWEB)

    Loibl, Helmut; Maslaton, Martin; Bredow, Hartwig von; Walter, Rene (eds.)

    2016-08-01

    With the EEG 2014, the legislature has created a complete revision of all the RES plants. Specifically for biogas plants fundamental changes have been made with the maximum rated power or a new landscape conservation concept. For new biogas plants the legislator arranges not only a much lower remuneration, but also the direct marketing as a rule, which entails fundamental changes in the overall compensation system by itself. The new edition of this highly regarded standard work revives the extensive practical experience to EEG 2009, 2012 and 2014 in detail and in particular and takes into account the large number of newly issued clearinghouses decisions and judgments. All current legal issues and challenges of biogas plants can be found comprehensively presented here. [German] Mit dem EEG 2014 hat der Gesetzgeber eine komplette Neuregelung fuer alle EEG-Anlagen geschaffen. Speziell fuer Biogasanlagen wurden mit der Hoechstbemessungsleistung oder einem neuen Landschaftspflegebegriff grundlegende Aenderungen vorgenommen. Fuer neue Biogasanlagen ordnet der Gesetzgeber nicht nur eine deutlich geringere Verguetung, sondern zudem die Direktvermarktung als Regelfall an, was grundlegende Veraenderungen des gesamten Verguetungssystems nach sich zieht. Die Neuauflage dieses vielbeachteten Standardwerks greift die umfangreichen Praxiserfahrungen zum EEG 2009, 2012 und 2014 detailliert auf und beruecksichtigt insbesondere auch die Vielzahl der neu ergangenen Clearingstellenentscheidungen und Urteile. Alle aktuellen rechtlichen Themen und Herausforderungen bei Biogasanlagen finden Sie hier umfassend dargestellt.

  3. Utilization of Quantitative EEG Trends for Critical Care Continuous EEG Monitoring: A Survey of Neurophysiologists.

    Science.gov (United States)

    Swisher, Christa B; Sinha, Saurabh R

    2016-12-01

    Quantitative EEG (QEEG) can be used to assist with review of large amounts of data generated by critical care continuous EEG monitoring. This study aimed to identify current practices regarding the use of QEEG in critical care continuous EEG monitoring of critical care patients. An online survey was sent to 796 members of the American Clinical Neurophysiology Society (ACNS), instructing only neurophysiologists to participate. The survey was completed by 75 neurophysiologists that use QEEG in their practice. Survey respondents reported that neurophysiologists and neurophysiology fellows are most likely to serve as QEEG readers (97% and 52%, respectively). However, 21% of respondents reported nonneurophysiologists are also involved with QEEG interpretation. The majority of nonneurophysiologist QEEG data review is aimed to alert neurophysiologists to periods of concern, but 22% reported that nonneurophysiologists use QEEG to directly guide clinical care. Quantitative EEG was used most frequently for seizure detection (92%) and burst suppression monitoring (59%). A smaller number of respondents use QEEG for monitoring the depth of sedation (29%), ischemia detection (28%), vasospasm detection (28%) and prognosis after cardiac arrest (21%). About half of the respondents do not review every page of the raw critical care continuous EEG record when using QEEG. Respondents prefer a panel of QEEG trends displayed as hemispheric data, when applicable. There is substantial variability regarding QEEG trend preferences for seizure detection and ischemia detection. QEEG is being used by neurophysiologists and nonneurophysiologists for applications beyond seizure detection, but practice patterns vary widely. There is a need for standardization of QEEG methods and practices.

  4. Neurology in the Vietnam War.

    Science.gov (United States)

    Gunderson, Carl H; Daroff, Robert B

    2016-01-01

    Between December 1965 and December 1971, the United States maintained armed forces in Vietnam never less than 180,000 men and women in support of the war. At one time, this commitment exceeded half a million soldiers, sailors, and airmen from both the United States and its allies. Such forces required an extensive medical presence, including 19 neurologists. All but two of the neurologists had been drafted for a 2-year tour of duty after deferment for residency training. They were assigned to Vietnam for one of those 2 years in two Army Medical Units and one Air Force facility providing neurological care for American and allied forces, as well as many civilians. Their practice included exposure to unfamiliar disorders including cerebral malaria, Japanese B encephalitis, sleep deprivation seizures, and toxic encephalitis caused by injection or inhalation of C-4 explosive. They and neurologists at facilities in the United States published studies on all of these entities both during and after the war. These publications spawned the Defense and Veterans Head Injury Study, which was conceived during the Korean War and continues today as the Defense and Veterans Head Injury Center. It initially focused on post-traumatic epilepsy and later on all effects of brain injury. The Agent Orange controversy arose after the war; during the war, it was not perceived as a threat by medical personnel. Although soldiers in previous wars had developed serious psychological impairments, post-traumatic stress disorder was formally recognized in the servicemen returning from Vietnam. © 2016 S. Karger AG, Basel.

  5. Neurology advanced practice providers: A position paper of the American Academy of Neurology.

    Science.gov (United States)

    Schwarz, Heidi B; Fritz, Joseph V; Govindarajan, Raghav; Penfold Murray, Rebecca; Boyle, Kathryn B; Getchius, Thomas S D; Freimer, Miriam

    2015-08-01

    There are many factors driving health care reform, including unsustainable costs, poor outcomes, an aging populace, and physician shortages. These issues are particularly relevant to neurology. New reimbursement models are based on value and facilitated by the use of multidisciplinary teams. Integration of advanced practice providers (APPs) into neurology practice offers many advantages with new models of care. Conversely, there are many and varied challenges financially and logistically with these practice models. The American Academy of Neurology has formed a Work Group to address the needs of both neurologists and neurologic APPs and monitor the effect of APPs on quality and cost of neurologic care.

  6. EEG Signal Classification: Introduction to the Problem

    Directory of Open Access Journals (Sweden)

    A. Stancak

    2003-09-01

    Full Text Available The contribution describes the design, optimization and verificationof the off-line single-trial movement classification system. Four typesof movements are used for the classification: the right index fingerextension vs. flexion as well as the right shoulder (proximal vs.right index finger (distal movement. The classification systemutilizes hidden information stored in the characteristic shapes ofhuman brain activity (EEG signal. The great variability of EEGpotentials requires using of context information and hence theclassifier based on Hidden Markov Models (HMM. The suitableparameterization, model structure as well as training andclassification process are suggested on the base of spectral analysisresults and experience with the speech recognition. The training andthe classification are performed with the disjoint sets of EEGrealizations. Classification experiments are performed with 10 randomlychosen sets of EEG realizations. The final average score of thedistal/proximal movement classification is 80%; the standard deviationof classification results is 9%. The classification of the extension /flexion gives comparable results.

  7. Data-driven forward model inference for EEG brain imaging

    DEFF Research Database (Denmark)

    Hansen, Sofie Therese; Hauberg, Søren; Hansen, Lars Kai

    2016-01-01

    Electroencephalography (EEG) is a flexible and accessible tool with excellent temporal resolution but with a spatial resolution hampered by volume conduction. Reconstruction of the cortical sources of measured EEG activity partly alleviates this problem and effectively turns EEG into a brain......-of-concept study, we show that, even when anatomical knowledge is unavailable, a suitable forward model can be estimated directly from the EEG. We propose a data-driven approach that provides a low-dimensional parametrization of head geometry and compartment conductivities, built using a corpus of forward models....... Combined with only a recorded EEG signal, we are able to estimate both the brain sources and a person-specific forward model by optimizing this parametrization. We thus not only solve an inverse problem, but also optimize over its specification. Our work demonstrates that personalized EEG brain imaging...

  8. Memories of attachment hamper EEG cortical connectivity in dissociative patients.

    Science.gov (United States)

    Farina, Benedetto; Speranza, Anna Maria; Dittoni, Serena; Gnoni, Valentina; Trentini, Cristina; Vergano, Carola Maggiora; Liotti, Giovanni; Brunetti, Riccardo; Testani, Elisa; Della Marca, Giacomo

    2014-08-01

    In this study, we evaluated cortical connectivity modifications by electroencephalography (EEG) lagged coherence analysis, in subjects with dissociative disorders and in controls, after retrieval of attachment memories. We asked thirteen patients with dissociative disorders and thirteen age- and sex-matched healthy controls to retrieve personal attachment-related autobiographical memories through adult attachment interviews (AAI). EEG was recorded in the closed eyes resting state before and after the AAI. EEG lagged coherence before and after AAI was compared in all subjects. In the control group, memories of attachment promoted a widespread increase in EEG connectivity, in particular in the high-frequency EEG bands. Compared to controls, dissociative patients did not show an increase in EEG connectivity after the AAI. Conclusions: These results shed light on the neurophysiology of the disintegrative effect of retrieval of traumatic attachment memories in dissociative patients.

  9. Study on bayes discriminant analysis of EEG data.

    Science.gov (United States)

    Shi, Yuan; He, DanDan; Qin, Fang

    2014-01-01

    In this paper, we have done Bayes Discriminant analysis to EEG data of experiment objects which are recorded impersonally come up with a relatively accurate method used in feature extraction and classification decisions. In accordance with the strength of α wave, the head electrodes are divided into four species. In use of part of 21 electrodes EEG data of 63 people, we have done Bayes Discriminant analysis to EEG data of six objects. Results In use of part of EEG data of 63 people, we have done Bayes Discriminant analysis, the electrode classification accuracy rates is 64.4%. Bayes Discriminant has higher prediction accuracy, EEG features (mainly αwave) extract more accurate. Bayes Discriminant would be better applied to the feature extraction and classification decisions of EEG data.

  10. Slower EEG alpha generation, synchronization and “flow”—possible biomarkers of cognitive impairment and neuropathology of minor stroke

    Directory of Open Access Journals (Sweden)

    Jelena Petrovic

    2017-09-01

    Full Text Available Background We investigated EEG rhythms, particularly alpha activity, and their relationship to post-stroke neuropathology and cognitive functions in the subacute and chronic stages of minor strokes. Methods We included 10 patients with right middle cerebral artery (MCA ischemic strokes and 11 healthy controls. All the assessments of stroke patients were done both in the subacute and chronic stages. Neurological impairment was measured using the National Institute of Health Stroke Scale (NIHSS, whereas cognitive functions were assessed using the Montreal Cognitive Assessment (MoCA and MoCA memory index (MoCA-MIS. The EEG was recorded using a 19 channel EEG system with standard EEG electrode placement. In particular, we analyzed the EEGs derived from the four lateral frontal (F3, F7, F4, F8, and corresponding lateral posterior (P3, P4, T5, T6 electrodes. Quantitative EEG analysis included: the group FFT spectra, the weighted average of alpha frequency (αAVG, the group probability density distributions of all conventional EEG frequency band relative amplitudes (EEG microstructure, the inter- and intra-hemispheric coherences, and the topographic distribution of alpha carrier frequency phase potentials (PPs. Statistical analysis was done using a Kruskal–Wallis ANOVA with a post-hoc Mann–Whitney U two-tailed test, and Spearman’s correlation. Results We demonstrated transient cognitive impairment alongside a slower alpha frequency (αAVG in the subacute right MCA stroke patients vs. the controls. This slower alpha frequency showed no amplitude change, but was highly synchronized intra-hemispherically, overlying the ipsi-lesional hemisphere, and inter-hemispherically, overlying the frontal cortex. In addition, the disturbances in EEG alpha activity in subacute stroke patients were expressed as a decrease in alpha PPs over the frontal cortex and an altered “alpha flow”, indicating the sustained augmentation of inter-hemispheric interactions

  11. An EEG Data Investigation Using Only Artifacts

    Science.gov (United States)

    2017-02-22

    EEG Data Investigation Using Only Artifacts 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 1 Chelsey...and Education – Belcamp, MD 3 Middendorf Scientific Services – Medway, Ohio 45341 4 Air Force Research Laboratory – 2510 Fifth Street Bldg 840, Wright... investigation uses only data contaminated by artifacts and discards the artifact free data. This was done to solve a problem associated with data collection

  12. DIFFERENTIAL DIAGNOSTICS OF PAROXYSMAL ACTIVITY ON EEG

    Directory of Open Access Journals (Sweden)

    S. A. Gulaev

    2013-01-01

    Full Text Available According to the literature, the overdiagnosis of epilepsy is 20-25% of all newly diagnosed cases of epilepsy, which is associated mainly with the erroneous interpretation of clinical and electroencephalographic data, including an incorrect interpretation of some types of paroxysmal activity on the EEG, of non-epileptic nature. Based on own observations the author presents the examples of differential diagnosis of different paroxysmal conditions and describes their differences from epilepsy.

  13. Justified use of painful stimuli in the coma examination: a neurologic and ethical rationale.

    Science.gov (United States)

    Williams, Michael A; Rushton, Cynda H

    2009-01-01

    Much has been written about the neurologic basis and rationale for the coma examination, but little has been written about its ethical framework. In contrast to the neurologic framework, the ethical basis for the use of painful stimuli in the coma examination is context dependent and value driven, aimed at identifying the ethical justification for healthcare professionals to cause pain for patients in ways that would not be tolerated or justifiable in any other setting. Basic ethical principles can be used to justify the use of painful stimuli to examine patients, but they also impose limits on their use. To clarify the ethical issues that apply to the coma examination, we review its neurologic and ethical bases and propose a practical test by which to justify the use of painful stimuli.

  14. [Charles Miller Fisher: a giant of neurology].

    Science.gov (United States)

    Tapia, Jorge

    2013-08-01

    C. Miller Fisher MD, one of the great neurologists in the 20th century, died in April 2012. Born in Canada, he studied medicine at the University of Toronto. As a Canadian Navy medical doctor he participated in World War II and was a war prisoner from 1941 to 1944. He did a residency in neurology at the Montreal Neurological Institute between 1946 and 1948, and later on was a Fellow in Neurology and Neuropathology at the Boston City Hospital. In 1954 he entered the Massachusetts General Hospital as a neurologist and neuropathologist, where he remained until his retirement, in 2005. His academic career ended as Professor Emeritus at Harvard University. His area of special interest in neurology was cerebrovascular disease (CVD). In 1954 he created the first Vascular Neurology service in the world and trained many leading neurologists on this field. His scientific contributions are present in more than 250 publications, as journal articles and book chapters. Many of his articles, certainly not restricted to CVD, were seminal in neurology. Several concepts and terms that he coined are currently used in daily clinical practice. The chapters on CVD, in seven consecutive editions of Harrison's Internal Medicine textbook, are among his highlights. His death was deeply felt by the neurological community.

  15. Neurocritical care education during neurology residency

    Science.gov (United States)

    Drogan, O.; Manno, E.; Geocadin, R.G.; Ziai, W.

    2012-01-01

    Objective: Limited information is available regarding the current state of neurocritical care education for neurology residents. The goal of our survey was to assess the need and current state of neurocritical care training for neurology residents. Methods: A survey instrument was developed and, with the support of the American Academy of Neurology, distributed to residency program directors of 132 accredited neurology programs in the United States in 2011. Results: A response rate of 74% (98 of 132) was achieved. A dedicated neuroscience intensive care unit (neuro-ICU) existed in 64%. Fifty-six percent of residency programs offer a dedicated rotation in the neuro-ICU, lasting 4 weeks on average. Where available, the neuro-ICU rotation was required in the vast majority (91%) of programs. Neurology residents' exposure to the fundamental principles of neurocritical care was obtained through a variety of mechanisms. Of program directors, 37% indicated that residents would be interested in performing away rotations in a neuro-ICU. From 2005 to 2010, the number of programs sending at least one resident into a neuro-ICU fellowship increased from 14% to 35%. Conclusions: Despite the expansion of neurocritical care, large proportions of US neurology residents have limited exposure to a neuro-ICU and neurointensivists. Formal training in the principles of neurocritical care may be highly variable. The results of this survey suggest a charge to address the variability of resident education and to develop standardized curricula in neurocritical care for neurology residents. PMID:22573636

  16. Wearable ear EEG for brain interfacing

    Science.gov (United States)

    Schroeder, Eric D.; Walker, Nicholas; Danko, Amanda S.

    2017-02-01

    Brain-computer interfaces (BCIs) measuring electrical activity via electroencephalogram (EEG) have evolved beyond clinical applications to become wireless consumer products. Typically marketed for meditation and neu- rotherapy, these devices are limited in scope and currently too obtrusive to be a ubiquitous wearable. Stemming from recent advancements made in hearing aid technology, wearables have been shrinking to the point that the necessary sensors, circuitry, and batteries can be fit into a small in-ear wearable device. In this work, an ear-EEG device is created with a novel system for artifact removal and signal interpretation. The small, compact, cost-effective, and discreet device is demonstrated against existing consumer electronics in this space for its signal quality, comfort, and usability. A custom mobile application is developed to process raw EEG from each device and display interpreted data to the user. Artifact removal and signal classification is accomplished via a combination of support matrix machines (SMMs) and soft thresholding of relevant statistical properties.

  17. Expression of behaviour and psychoactive drugs in the rat EEG

    OpenAIRE

    Lier, Hester van

    2004-01-01

    Brain activity and behaviour are related to each other. Psychoactive drugs can influence both brain activity and behaviour. In order to be able to understand the interplay between brain activity as measured by the electroencephalogram (EEG), behaviour, and psychoactive drugs, it is not sufficient to describe changes in either behaviour or EEG separately. Rather, changes in EEG caused by psychoactive drugs should be described in direct concurrent relation with the subject's ongoing behaviour. ...

  18. A Customizable and Expandable Electroencephalography (EEG) Data Collection System

    Science.gov (United States)

    2016-03-01

    measurement of EEG are noise and artifacts.5 Generally, there is a large amount of interference and noise that may contaminate the desired signal when...dealing with small signals. Because of the presence of such noise , EEG systems require a large dynamic range as well as high resolution, leading to the... noise of the ADS1299 on the EEG data collection board were tested. Approved for public release; distribution is unlimited. 7 3.2.1 Gain The

  19. [Interaction of diazepam and levodropropizine evaluated with quantitative EEG].

    Science.gov (United States)

    Arrigo, A; Bejor, M; Beungarbe, D; Cosentina, R

    1989-02-01

    The purpose of this clinical trial was to evaluate the presence of possible interactions between Levodropropizine and benzodiazepines (BZ). Experience was performed recording bioccipital quantified EEG in 5 healthy volunteers in normal conditions, after BZ administration and after BZ plus Levodropropizine administration. The slight shifting towards lower frequences in quantified EEG, due to BZ, was not modified by Levodropropizine administration. As results from this experience Levodropropizine seems not to have sinergic action on BZ effect in quantified EEG.

  20. Probe-Independent EEG Assessment of Mental Workload in Pilots

    Science.gov (United States)

    2015-05-18

    A TRIDENT SCHOLAR PROJECT REPORT NO. 437 Probe-Independent EEG Assessment of Mental Workload in Pilots by Midshipman 1/C Michael K...INDEPENDENT EEG ASSESSMENT OF MENTAL WORKLOAD IN PILOTS by Midshipman 1/C Michael K. Johnson United States Naval Academy Annapolis, Maryland...REPORT TYPE 3. DATES COVERED (From - To) 4. TITLE AND SUBTITLE Probe-Independent EEG Assessment of Mental Workload in Pilots 5a. CONTRACT NUMBER

  1. Tensor decomposition of EEG signals: A brief review

    OpenAIRE

    Cong, Fengyu; Lin, Qiu-Hua; Kuang, Li-Dan; Gong, Xiao-Feng; Astikainen, Piia; Ristaniemi, Tapani

    2015-01-01

    Electroencephalography (EEG) is one fundamental tool for functional brain imaging. EEG signals tend to be represented by a vector or a matrix to facilitate data processing and analysis with generally understood methodologies like time-series analysis, spectral analysis and matrix decomposition. Indeed, EEG signals are often naturally born with more than two modes of time and space, and they can be denoted by a multi-way array called as tensor. This review summarizes the current pr...

  2. Exploring EEG signals in a Brain-Computer Interface

    Science.gov (United States)

    Zubrycki, Paweł; Mulawka, Jan

    2014-11-01

    This article shows the basic methods of electroencephalography EEG signal exploration. It contains information about data acquisition and different methods in which brain-computer interfaces can be made. The main focus of the paper is to find a way to determine the best set of parameters to detect movement of a hand in EEG signal. In the introduction there is also short introduction to EEG as well as fundamentals of support vector machine.

  3. Superchords: decoding EEG signals in the millisecond range

    OpenAIRE

    Normand, Rogerio; Ferreira, Hugo Alexandre

    2015-01-01

    Electroencephalography (EEG) signals’ interpretation is based on waveform analysis, where meaningful information should emerge from a plethora of data. Nonetheless, the continuous increase in computational power and the development of new data processing algorithms in the recent years have put into reach the possibility of analyzing raw EEG signals. Bearing that motivation, the authors propose a new approach using raw data EEG signals and deep learning neural networks, for the classification ...

  4. Transfer function between EEG and BOLD signals of epileptic activity

    Directory of Open Access Journals (Sweden)

    Marco eLeite

    2013-01-01

    Full Text Available Simultaneous EEG-fMRI recordings have seen growing application in the evaluation of epilepsy, namely in the characterization of brain networks related to epileptic activity. In EEG-correlated fMRI studies, epileptic events are usually described as boxcar signals based on the timing information retrieved from the EEG, and subsequently convolved with a heamodynamic response function to model the associated BOLD changes. Although more flexible approaches may allow a higher degree of complexity for the haemodynamics, the issue of how to model these dynamics based on the EEG remains an open question. In this work, a new methodology for the integration of simultaneous EEG-fMRI data in epilepsy is proposed, which incorporates a transfer function from the EEG to the BOLD signal. Independent component analysis (ICA of the EEG is performed, and a number of metrics expressing different models of the EEG-BOLD transfer function are extracted from the resulting time courses. These metrics are then used to predict the fMRI data and to identify brain areas associated with the EEG epileptic activity. The methodology was tested on both ictal and interictal EEG-fMRI recordings from one patient with a hypothalamic hamartoma. When compared to the conventional analysis approach, plausible, consistent and more significant activations were obtained. Importantly, frequency-weighted EEG metrics yielded superior results than those weighted solely on the EEG power, which comes in agreement with previous literature. Reproducibility, specificity and sensitivity should be addressed in an extended group of patients in order to further validate the proposed methodology and generalize the presented proof of concept.

  5. EEG Based Emotion Identification Using Unsupervised Deep Feature Learning

    OpenAIRE

    Li, Xiang; Zhang, Peng; Song, Dawei; Yu, Guangliang; Hou, Yuexian; Hu, Bin

    2015-01-01

    Capturing user’s emotional state is an emerging way for implicit relevance feedback in information retrieval (IR). Recently, EEG-based emotion recognition has drawn increasing attention. However, a key challenge is effective learning of useful features from EEG signals. In this paper, we present our on-going work on using Deep Belief Network (DBN) to automatically extract high-level features from raw EEG signals. Our preliminary experiment on the DEAP dataset shows that the learned features p...

  6. Burst suppression in sleep in a routine outpatient EEG

    Directory of Open Access Journals (Sweden)

    Ammar Kheder

    2014-01-01

    Full Text Available Burst suppression (BS is an electroencephalogram (EEG pattern that is characterized by brief bursts of spikes, sharp waves, or slow waves of relatively high amplitude alternating with periods of relatively flat EEG or isoelectric periods. The pattern is usually associated with coma, severe encephalopathy of various etiologies, or general anesthesia. We describe an unusual case of anoxic brain injury in which a BS pattern was seen during behaviorally defined sleep during a routine outpatient EEG study.

  7. Standardized patient outcomes trial (SPOT in neurology

    Directory of Open Access Journals (Sweden)

    Joseph E. Safdieh

    2011-01-01

    Full Text Available Background: The neurologic examination is a challenging component of the physical examination for medical students. In response, primarily based on expert consensus, medical schools have supplemented their curricula with standardized patient (SP sessions that are focused on the neurologic examination. Hypothesis-driven quantitative data are needed to justify the further use of this resource-intensive educational modality, specifically regarding whether using SPs to teach the neurological examination effects a long-term benefit on the application of neurological examination skills. Methods: This study is a cross-sectional analysis of prospectively collected data from medical students at Weill Cornell Medical College. The control group (n=129 received the standard curriculum. The intervention group (n=58 received the standard curriculum and an additional SP session focused on the neurologic examination during the second year of medical school. Student performance on the neurologic examination was assessed in the control and intervention groups via an OSCE administered during the fourth year of medical school. A Neurologic Physical Exam (NPE score of 0.0 to 6.0 was calculated for each student based on a neurologic examination checklist completed by the SPs during the OSCE. Composite NPE scores in the control and intervention groups were compared with the unpaired t-test. Results: In the fourth year OSCE, composite NPE scores in the intervention group (3.5±1.1 were statistically significantly greater than those in the control group (2.2±1.1 (p<0.0001. Conclusions: SP sessions are an effective tool for teaching the neurologic examination. We determined that a single, structured SP session conducted as an adjunct to our traditional lectures and small groups is associated with a statistically significant improvement in student performance measured 2 years after the session.

  8. Prevalence and etiology of false normal aEEG recordings in neonatal hypoxic-ischaemic encephalopathy

    National Research Council Canada - National Science Library

    Marics, Gábor; Csekő, Anna; Vásárhelyi, Barna; Zakariás, Dávid; Schuster, György; Szabó, Miklós

    2013-01-01

    .... Raw EEG recordings were reevaluated retrospectively with Fourier analysis to identify and describe the frequency patterns of the raw EEG signal, in cases with inconsistent aEEG recordings and clinical symptoms...

  9. Neurological examination: pioneering authors and their books

    Directory of Open Access Journals (Sweden)

    Péricles Maranhão-Filho

    2015-02-01

    Full Text Available The objective of this article is to highlight some of the most important pioneering books specifically focused on the neurological examination and their authors. During the XIX Century, Alexander Hammond, William Gowers and Charles Mills pioneered the neurological literature, followed in the XX Century by Aloysio de Castro, Monrad-Krohn, Derek Denny-Brown, Robert Wartenberg, Gordon Holmes, and Russel DeJong. With determination and a marked sense of observation and research, they competently developed and spread the technique and art of the neurological exam.

  10. Safety Basis Report

    Energy Technology Data Exchange (ETDEWEB)

    R.J. Garrett

    2002-01-14

    As part of the internal Integrated Safety Management Assessment verification process, it was determined that there was a lack of documentation that summarizes the safety basis of the current Yucca Mountain Project (YMP) site characterization activities. It was noted that a safety basis would make it possible to establish a technically justifiable graded approach to the implementation of the requirements identified in the Standards/Requirements Identification Document. The Standards/Requirements Identification Documents commit a facility to compliance with specific requirements and, together with the hazard baseline documentation, provide a technical basis for ensuring that the public and workers are protected. This Safety Basis Report has been developed to establish and document the safety basis of the current site characterization activities, establish and document the hazard baseline, and provide the technical basis for identifying structures, systems, and components (SSCs) that perform functions necessary to protect the public, the worker, and the environment from hazards unique to the YMP site characterization activities. This technical basis for identifying SSCs serves as a grading process for the implementation of programs such as Conduct of Operations (DOE Order 5480.19) and the Suspect/Counterfeit Items Program. In addition, this report provides a consolidated summary of the hazards analyses processes developed to support the design, construction, and operation of the YMP site characterization facilities and, therefore, provides a tool for evaluating the safety impacts of changes to the design and operation of the YMP site characterization activities.

  11. Somatosensory-evoked spikes on electroencephalography (EEG): longitudinal clinical and EEG aspects in 313 children.

    Science.gov (United States)

    Fonseca, Lineu Corrêa; Tedrus, Gloria M A S

    2012-01-01

    Somatosensory-evoked spikes (ESp) are high-voltage potentials registered on the EEG, which accompany each of the percussions on the feet or hands. The objective of this research was to study the longitudinal clinical and EEG aspects of children with ESp. A total of 313 children, 53.7% male, showing ESp on the EEG and with an average initial age of 6.82 (range from 2 to 14 years) were followed for a mean period of 35.7 months. In the initial evaluation, 118 (37.7%) had a history of nonfebrile epileptic seizures (ES). Epileptiform activity (EA) was observed on the EEG in 61% and showed a significantly greater occurrence in children with ES than in those without (P = .000). Of the 118 showing seizures from the start, 53 (44.9%) continued to have seizures; of the 195 without seizures at the start, only 13 (6.67%) developed them. Thus, only 66 (21.1%) children showed ES during the follow-up. ESp disappeared in 237 (75.7%) cases and EA in 221 (70.6%). In the children with ES, it was found that the presence of EA on the first EEG did not indicate continuation of the ES throughout the remaining period, while the 13 children who presented their first ES in a later period showed a greater occurrence of EA on the initial EEG than those who did not develop ES (P = .001). Evidence of brain injury was observed in 43 (13.7%) children and was associated with a greater continuity of the ES during the study (P = .018). ESp, EA, and ES tend to disappear, suggesting an age-dependent phenomenon. The finding of ESp, particularly in the absence of any evidence of brain injury, indicates a low association with ES and benign outcome.

  12. 78 FR 70310 - National Institute of Neurological Disorders and Stroke; Notice of Closed Meetings

    Science.gov (United States)

    2013-11-25

    ... Stroke Special Emphasis Panel; Neuroscience Research Education (R25). Date: December 16, 2013. Time: 2:00... Health, Neuroscience Center, 6001 Executive Boulevard, Rockville, MD 20852 (Telephone Conference Call..., Clinical Research Related to Neurological Disorders; 93.854, Biological Basis Research in the Neurosciences...

  13. 76 FR 10381 - National Institute of Neurological Disorders and Stroke; Notice of Closed Meeting

    Science.gov (United States)

    2011-02-24

    ... cycle (Catalogue of Federal Domestic Assistance Program Nos. 93.853, Clinical Research Related to Neurological Disorders; 93.854, Biological Basis Research in the Neurosciences, National Institutes of Health... Emphasis Panel; Medicinal Chemistry. Date: February 28, 2011. Time: 1 p.m. to 5 p.m. Agenda: To review and...

  14. 75 FR 64315 - National Institute of Neurological Disorders and Stroke; Notice of Closed Meeting

    Science.gov (United States)

    2010-10-19

    .... [email protected] . (Catalogue of Federal Domestic Assistance Program Nos. 93.853, Clinical Research Related to Neurological Disorders; 93.854, Biological Basis Research in the Neurosciences, National... Emphasis Panel, Medicinal Chemistry. Date: November 9-10, 2010. Time: 8 a.m. to 5 p.m. Agenda: To review...

  15. EEG Signal Decomposition and Improved Spectral Analysis Using Wavelet Transform

    National Research Council Canada - National Science Library

    Bhatti, Muhammad

    2001-01-01

    EEG (Electroencephalograph), as a noninvasive testing method, plays a key role in the diagnosing diseases, and is useful for both physiological research and medical applications. Wavelet transform (WT...

  16. Extended seizure detection algorithm for intracranial EEG recordings

    DEFF Research Database (Denmark)

    Kjaer, T. W.; Remvig, L. S.; Henriksen, J.

    2010-01-01

    Objective: We implemented and tested an existing seizure detection algorithm for scalp EEG (sEEG) with the purpose of improving it to intracranial EEG (iEEG) recordings. Method: iEEG was obtained from 16 patients with focal epilepsy undergoing work up for resective epilepsy surgery. Each patient...... and non-ictal iEEG. We compare our results to a method published by Shoeb in 2004. While the original method on sEEG was optimal with the use of only four subbands in the wavelet analysis, we found that better seizure detection could be made if all subbands were used for iEEG. Results: When using...... the original implementation a sensitivity of 92.8% and a false positive ratio (FPR) of 0.93/h were obtained. Our extension of the algorithm rendered a 95.9% sensitivity and only 0.65 false detections per hour. Conclusion: Better seizure detection can be performed when the higher frequencies in the iEEG were...

  17. Methods for simultaneous EEG-fMRI: an introductory review

    National Research Council Canada - National Science Library

    Huster, René J; Debener, Stefan; Eichele, Tom; Herrmann, Christoph S

    2012-01-01

    The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data in human systems, cognitive and clinical neurosciences is rapidly evolving and has received substantial attention...

  18. Synchronization of EEG activity in patients with bipolar disorder

    Science.gov (United States)

    Panischev, O. Yu; Demin, S. A.; Muhametshin, I. G.; Demina, N. Yu

    2015-12-01

    In paper we apply the method based on the Flicker-Noise Spectroscopy (FNS) to determine the differences in frequency-phase synchronization of the cortical electroencephalographic (EEG) activities in patients with bipolar disorder (BD). We found that for healthy subjects the frequency-phase synchronization of EEGs from long-range electrodes was significantly better for BD patients. In BD patients a high synchronization of EEGs was observed only for short-range electrodes. Thus, the FNS is a simple graphical method for qualitative analysis can be applied to identify the synchronization effects in EEG activity and, probably, may be used for the diagnosis of this syndrome.

  19. Automated approach to detecting behavioral states using EEG-DABS.

    Science.gov (United States)

    Loris, Zachary B; Danzi, Mathew; Sick, Justin; Dietrich, W Dalton; Bramlett, Helen M; Sick, Thomas

    2017-07-01

    Electrocorticographic (ECoG) signals represent cortical electrical dipoles generated by synchronous local field potentials that result from simultaneous firing of neurons at distinct frequencies (brain waves). Since different brain waves correlate to different behavioral states, ECoG signals presents a novel strategy to detect complex behaviors. We developed a program, EEG Detection Analysis for Behavioral States (EEG-DABS) that advances Fast Fourier Transforms through ECoG signals time series, separating it into (user defined) frequency bands and normalizes them to reduce variability. EEG-DABS determines events if segments of an experimental ECoG record have significantly different power bands than a selected control pattern of EEG. Events are identified at every epoch and frequency band and then are displayed as output graphs by the program. Certain patterns of events correspond to specific behaviors. Once a predetermined pattern was selected for a behavioral state, EEG-DABS correctly identified the desired behavioral event. The selection of frequency band combinations for detection of the behavior affects accuracy of the method. All instances of certain behaviors, such as freezing, were correctly identified from the event patterns generated with EEG-DABS. Detecting behaviors is typically achieved by visually discerning unique animal phenotypes, a process that is time consuming, unreliable, and subjective. EEG-DABS removes variability by using defined parameters of EEG/ECoG for a desired behavior over chronic recordings. EEG-DABS presents a simple and automated approach to quantify different behavioral states from ECoG signals.

  20. The effect of CPAP treatment on EEG of OSAS patients.

    Science.gov (United States)

    Zhang, Cheng; Lv, Jun; Zhou, Junhong; Su, Li; Feng, Liping; Ma, Jing; Wang, Guangfa; Zhang, Jue

    2015-12-01

    Continuous positive airway pressure (CPAP) is currently the most effective treatment method for obstructive sleep apnea syndrome (OSAS). The purpose of this study was to compare the sleep electroencephalogram (EEG) changes before and after the application of CPAP to OSAS patients. A retrospective study was conducted and 45 sequential patients who received both polysomnography (PSG) and CPAP titration were included. The raw data of sleep EEG were extracted and analyzed by engineers using two main factors: fractal dimension (FD) and the zero-crossing rate of detrended FD (zDFD). FD was an effective indicator reflecting the EEG complexity and zDFD was useful to reflect the variability of the EEG complexity. The FD and zDFD indexes of sleep EEG of 45 OSAS patients before and after CPAP titration were analyzed. The age of 45 OSAS patients was 52.7 ± 5.6 years old and the patients include 12 females and 33 males. After CPAP treatment, FD of EEG in non-rapid eye movement (NREM) sleep decreased significantly (P EEG increased in rapid eye movement (REM) sleep (P EEG in patients with OSAHS, which lead to a more stable EEG pattern. This may be one of the mechanisms that CPAP could improve sleep quality and brain function of OSAS patients.