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Sample records for benign eeg patterns

  1. THE CASE OF FOCAL EPILEPSY OF CHILDHOOD WITH STRUCTURAL BRAIN CHANGES AND BENIGN EPILEPTIFORM DISCHARGES ON EEG (FECSBC-BEDC)

    OpenAIRE

    I. A. Sadekov; Petrenko, L. V.; I. V. Sadekova; O. I. Tishkovets

    2015-01-01

    The authors described a case of focal epilepsy of childhood with structural brain changes and benign epileptiform discharges on EEG (FECSBC-BEDC). Correct syndromological diagnostics helped to clarify the clinical dynamics, prognosis and improve the therapy.

  2. Pattern Recognition of EEG Signals and Applications in Robotics

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiao-dong; CHENG Zhi-qiang; LI De-jun

    2006-01-01

    With the rapid development of brain computer interface (simply called BCI),electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG.In order to realize it finally,the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective.Based on our current researches and some reports from the other international colleagues in the field,we deeply discuss the basic characteristics of EEG signal,the development and selection of EEG measurement system,feature extraction and recognition methods of EEG signal,and then review EEG's applications in robotics as well as the future research trends in this paper.

  3. Quantitative EEG Applying the Statistical Recognition Pattern Method

    DEFF Research Database (Denmark)

    Engedal, Knut; Snaedal, Jon; Hoegh, Peter;

    2015-01-01

    BACKGROUND/AIM: The aim of this study was to examine the discriminatory power of quantitative EEG (qEEG) applying the statistical pattern recognition (SPR) method to separate Alzheimer's disease (AD) patients from elderly individuals without dementia and from other dementia patients. METHODS: The...

  4. PHYSIOLOGIC PATTERNS OF SLEEP ON EEG, MASKING OF EPILEPTIFORM ACTIVITY

    Directory of Open Access Journals (Sweden)

    L. Yu. Glukhova

    2013-01-01

    Full Text Available Physiologic patterns of sleep on EEG can sometimes be similar to epileptiform activity and even to the EEG pattern of epileptic seizures, but they have no connection to epilepsy and their incorrect interpretation may lead to overdiagnosis of epilepsy. These sleep patterns include vertex transients, K-complexes, hypnagogic hypersynchrony, 14 and 6 Hz positive bursts, wicket-potentials, etc. The main distinctive features of acute physiological phenomena of sleep unlike epileptiform activity are stereotyped, monomorphic morphology of waves, which frequently has rhythmic, arcuate pattern, often with change of lateralization, mainly dominated in the first stages of sleep (N1-N2, with their reduction in the deeper stages and transition to delta sleep (N3. The correct interpretation of physiological sharp-wave phenomena of sleep on EEG requires considerable training and experience of the physician. Our review includes a variety of physiological sleep patterns, which can mimic epileptiform activity on EEG, their criteria of diagnostic with demonstration of own illustrations of EEG.

  5. Hanging-induced burst suppression pattern in EEG

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    Nilgun Cinar

    2012-01-01

    Full Text Available Lethal suspension (hanging is one of the most common methods of attempting suicide. Spinal fractures, cognitive and motor deficits as well as epileptic seizures can be detected after unsuccessful hanging attempts. Introduced here is the case of a 25-year-old man exemplifying the clinical observations stated hereafter, who was conveyed to our emergency room after having survived attempted suicide by hanging, with his post-anoxic burst-suppression electroencephalography (BS-EEG pattern and clinical diagnoses in the post-comatose stage. The patient′s state of consciousness was gradually improved over a period of time. His neuropsychiatric assessment proved that memory deficit, a slight lack of attention and minor executive dysfunction was observed a month after the patient was discharged. Although the BS-EEG pattern indicates severe brain dysfunction, it is a poor prognostic factor; rarely, patients survive with minor cognitive deficits and can perform their normal daily activities.

  6. Computer-Assisted Interpretation of the EEG Background Pattern: A Clinical Evaluation

    OpenAIRE

    Lodder, Shaun S.; Jessica Askamp; Michel J A M van Putten

    2014-01-01

    OBJECTIVE: Interpretation of the EEG background pattern in routine recordings is an important part of clinical reviews. We evaluated the feasibility of an automated analysis system to assist reviewers with evaluation of the general properties in the EEG background pattern. METHODS: Quantitative eeg methods were used to describe the following five background properties: posterior dominant rhythm frequency and reactivity, anterior-posterior gradients, presence of diffuse slow-wave activity and ...

  7. EEG

    Science.gov (United States)

    Abnormal results on an EEG test may be due to: Abnormal bleeding (hemorrhage) An abnormal structure in the brain (such as a brain tumor ) Tissue death due to a blockage in blood flow (cerebral infarction) Drug or alcohol abuse Head injury Migraines (in some ...

  8. Prognostically important EEG coma patterns in diffuse anoxic and traumatic encephalopathies in adults.

    Science.gov (United States)

    Synek, V M

    1988-04-01

    Because of the paucity in the English literature of a detailed and universally accepted EEG grading scale relating to survival after diffuse traumatic and anoxic brain insults, prognostically oriented EEG patterns including recently described abnormalities are presented and discussed. The significance of these patterns may also apply in cases of coma of other etiologies, which can present morphologically similar features. EEG patterns have been classified into five major grades based on an internationally accepted scale. Individual patterns have been more clearly defined on the basis of the morphology of dominant activities, their distribution, persistence, and reactivity to external stimulation. Favorable outcome with survival seems to occur with both grade 1 and the "reactive type" of grade 2 abnormalities, with preservation of normal sleep features, and with frontal monorhythmic delta activity. Prognostically uncertain patterns are "nonreactive" grade 2 abnormalities, diffuse delta activity with grade 3 abnormality, and the "reactive type of alpha pattern coma." The following patterns are suggested to be prognostically malignant if persistent: grade 3 abnormality with small amplitude, diffuse, irregular delta activity; grade 4 ("burst suppression pattern"), in particular when epileptiform discharges are present and with "low-output EEG"; and grade 5 ("isoelectric EEG"). Fatal outcome is also common with the "nonreactive type of alpha pattern coma" and the recently reported "theta pattern coma." These patterns are presented in the illustrations. It is intended that this more detailed subdivision will promote understanding between electroencephalographers using visual EEG assessment in cases of coma. PMID:3074973

  9. Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes

    OpenAIRE

    Odabaee, Maryam; Freeman, Walter J III; Colditz, Paul B.; Ramon, Ceon; Vanhatalo, Sampsa

    2012-01-01

    There is an increasing demand for source analysis of neonatal EEG, but currently there is inadequate knowl- edge about i) the spatial patterning of neonatal scalp EEG and hence ii) the number of electrodes needed to capture neonatal EEG in full spatial detail. This study addresses these issues by using a very high density (2.5 mm interelectrode spacing) linear electrode array to assess the spatial power spectrum, by using a high density (64 electrodes) EEG cap to assess the spatial extent of ...

  10. Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns

    Institute of Scientific and Technical Information of China (English)

    Yusely RUIZ; Guang LI; Walter J. FREEMAN; Eduardo GONZALEZ

    2009-01-01

    Obtaining an electrocorticograms (ECoG) signal requires an invasive procedure in which brain activity is recorded from the cortical surface. In contrast, obtaining electroencephalograms (EEG) recordings requires the non-invasive procedure of recording the brain activity from the scalp surface, which allows EEG recordings to be performed more easily on healthy humans. In this work, a technique previously used to study spatial-temporal patterns of brain activity on animal ECoG was adapted for use on EEG. The main issues are centered on solving the problems introduced by the increment on the interelectrode distance and the procedure to detect stable frames. The results showed that spatial patterns of beta and gamma activity can also be extracted from the EEG signal by using stable frames as time markers for feature extraction. This adapted technique makes it possible to take advantage of the cognitive and phenomenological awareness of a normal healthy subject.

  11. Hidden pattern discovery on epileptic EEG with 1-D local binary patterns and epileptic seizures detection by grey relational analysis.

    Science.gov (United States)

    Kaya, Yılmaz

    2015-09-01

    This paper proposes a novel approach to detect epilepsy seizures by using Electroencephalography (EEG), which is one of the most common methods for the diagnosis of epilepsy, based on 1-Dimension Local Binary Pattern (1D-LBP) and grey relational analysis (GRA) methods. The main aim of this paper is to evaluate and validate a novel approach, which is a computer-based quantitative EEG analyzing method and based on grey systems, aimed to help decision-maker. In this study, 1D-LBP, which utilizes all data points, was employed for extracting features in raw EEG signals, Fisher score (FS) was employed to select the representative features, which can also be determined as hidden patterns. Additionally, GRA is performed to classify EEG signals through these Fisher scored features. The experimental results of the proposed approach, which was employed in a public dataset for validation, showed that it has a high accuracy in identifying epileptic EEG signals. For various combinations of epileptic EEG, such as A-E, B-E, C-E, D-E, and A-D clusters, 100, 96, 100, 99.00 and 100% were achieved, respectively. Also, this work presents an attempt to develop a new general-purpose hidden pattern determination scheme, which can be utilized for different categories of time-varying signals. PMID:26206400

  12. A three-dimensional spatio-temporal EEG pattern analyzing system

    Institute of Scientific and Technical Information of China (English)

    LIU Hesheng; GAO Xiaorong; YANG Fusheng

    2003-01-01

    Spatio-temporal pattern analysis of EEG is an important tool in brain research. An EEG pattern analysis system based on a hierarchical multi-method approach is proposed here. The system consists of multiple steps including extraction of target signal, acquisition of intracranial electric activity distribution, adaptive segmentation of EEG and spatio-temporal pattern recognition. Some modern signal processing methods such as common spatial subspace decomposition, hidden Markov model are adopted. This paper also proposes an algorithm named LORETA-FOCUSS to estimate the current density inside the brain with a high spatial resolution. Microstate analysis of EEG is extended to the 3-D situation. The system was applied to the brain computer interface problem and achieved the highest accuracy of 88.89% with an average accuracy of 81.48% when classifying two imaginary movement tasks, while the data were not manually pre-selected. The result has proved spatio-temporal EEG pattern analysis is an efficient way in brain research.

  13. Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes.

    Science.gov (United States)

    Odabaee, Maryam; Freeman, Walter J; Colditz, Paul B; Ramon, Ceon; Vanhatalo, Sampsa

    2013-03-01

    There is an increasing demand for source analysis of neonatal EEG, but currently there is inadequate knowledge about i) the spatial patterning of neonatal scalp EEG and hence ii) the number of electrodes needed to capture neonatal EEG in full spatial detail. This study addresses these issues by using a very high density (2.5mm interelectrode spacing) linear electrode array to assess the spatial power spectrum, by using a high density (64 electrodes) EEG cap to assess the spatial extent of the common oscillatory bouts in the neonatal EEG and by using a neonatal size spherical head model to assess the effects of source depth and skull conductivities on the spatial frequency spectrum. The linear array recordings show that the spatial power spectrum decays rapidly until about 0.5-0.8 cycles per centimeter. The dense array EEG recordings show that the amplitude of oscillatory events decays within 4-6 cm to the level of global background activity, and that the higher frequencies (12-20 Hz) show the most rapid spatial decline in amplitude. Simulation with spherical head model showed that realistic variation in skull conductivity and source depths can both introduce orders of magnitude difference in the spatial frequency of the scalp EEG. Calculation of spatial Nyquist frequencies from the spatial power spectra suggests that an interelectrode distance of about 6-10mm would suffice to capture the full spatial texture of the raw EEG signal at the neonatal scalp without spatial aliasing or under-sampling. The spatial decay of oscillatory events suggests that a full representation of their spatial characteristics requires an interelectrode distance of 10-20mm. The findings show that the conventional way of recording neonatal EEG with about 10 electrodes ignores most spatial EEG content, that increasing the electrode density is necessary to improve neonatal EEG source localization and information extraction, and that prospective source models will need to carefully consider the

  14. Déjà vu phenomenon-related EEG pattern. Case report ☆

    OpenAIRE

    P. N. Vlasov; A. V. Chervyakov; Gnezditskii, V.V.

    2013-01-01

    Background Déjà vu (DV, from French déjà vu — “already seen”) is an aberration of psychic activity associated with transitory erroneous perception of novel circumstances, objects, or people as already known. Objective This study aimed to record the EEG pattern of déjà vu. Methods The subjects participated in a survey concerning déjà vu characteristics and underwent ambulatory EEG monitoring (12–16 h). Results In patients with epilepsy, DV episodes began with polyspike activity in the right te...

  15. Standardized EEG interpretation accurately predicts prognosis after cardiac arrest

    Science.gov (United States)

    Rossetti, Andrea O.; van Rootselaar, Anne-Fleur; Wesenberg Kjaer, Troels; Horn, Janneke; Ullén, Susann; Friberg, Hans; Nielsen, Niklas; Rosén, Ingmar; Åneman, Anders; Erlinge, David; Gasche, Yvan; Hassager, Christian; Hovdenes, Jan; Kjaergaard, Jesper; Kuiper, Michael; Pellis, Tommaso; Stammet, Pascal; Wanscher, Michael; Wetterslev, Jørn; Wise, Matt P.; Cronberg, Tobias

    2016-01-01

    Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest using a single routine EEG and standardized interpretation according to the terminology proposed by the American Clinical Neurophysiology Society. Methods: In this cohort study, 4 EEG specialists, blinded to outcome, evaluated prospectively recorded EEGs in the Target Temperature Management trial (TTM trial) that randomized patients to 33°C vs 36°C. Routine EEG was performed in patients still comatose after rewarming. EEGs were classified into highly malignant (suppression, suppression with periodic discharges, burst-suppression), malignant (periodic or rhythmic patterns, pathological or nonreactive background), and benign EEG (absence of malignant features). Poor outcome was defined as best Cerebral Performance Category score 3–5 until 180 days. Results: Eight TTM sites randomized 202 patients. EEGs were recorded in 103 patients at a median 77 hours after cardiac arrest; 37% had a highly malignant EEG and all had a poor outcome (specificity 100%, sensitivity 50%). Any malignant EEG feature had a low specificity to predict poor prognosis (48%) but if 2 malignant EEG features were present specificity increased to 96% (p < 0.001). Specificity and sensitivity were not significantly affected by targeted temperature or sedation. A benign EEG was found in 1% of the patients with a poor outcome. Conclusions: Highly malignant EEG after rewarming reliably predicted poor outcome in half of patients without false predictions. An isolated finding of a single malignant feature did not predict poor outcome whereas a benign EEG was highly predictive of a good outcome. PMID:26865516

  16. 伴中央颞部棘波的良性儿童癫痫脑电图分析%Analysis of EEG and clinical of benign childhood epilepsy with centrotemporal spikes

    Institute of Scientific and Technical Information of China (English)

    袁彬; 牛仁山

    2009-01-01

    Objective To analyse the meaning of EEG in benign childhood epilepsy with of centrahemporal spikes diagnosis. Methods EEG and clinical data were retrospectively analyzed in 72 patients. Results Carry on an electroen-cephalogram record under the awake state, normal 54, abnormal 18 (including 8 cases of untypical focal discharge). Under sleep condition the epileptiform discharge all appears in the controtemporal area can be found in the EEG records of 54 ca-ses of normal EEG under the awake state. Conclusions The EEG can greatly increase the diagnosis rate in benign child-hood epilepsy with centrotemporal spike diagnosis. EEG is an important diagnostic basis for this disease. It may help the di-agnosis to know the EEG and clinical characteristics of BECT.%目的 分析脑电图(EEG)在伴中央颞部棘波的良性儿童癫痫(BECCT)的诊断意义.方法 对72例BECCT的EEG及临床资料进行回顾性分析.结果 清醒时,EEG正常54例,异常18例(含8例不典型局灶性放电),对清醒时EEG正常54例均进行睡眠EEG描记,则均于中央颞部出现棘、尖渡.结论 睡眠EEG大大提高了BECCT的诊断率,EEG为诊断BECCT的根本依据.认识BECCT的EEG及临床特点,有利于BECCT的诊断及预后评估.

  17. Filter ensemble regularized common spatial pattern for EEG classification

    Science.gov (United States)

    Su, Yuxi; Li, Yali; Wang, Shengjin

    2015-07-01

    Common Spatial Pattern (CSP) is one of the most effective feature extraction algorithm for Brain-Computer Interfaces (BCI). Despite its advantages of wide versatility and high efficiency, CSP is shown to be non-robust to noise and prone to over fitting when training sample number is limited. In order to overcome these problems, Regularized Common Spatial Pattern (RCSP) is further proposed. RCSP regularized covariance matrix estimation by two parameters, which reduces the estimation difference and improves the stationarity under small sample condition. However, RCSP does not make full use of the frequency information. In this paper, we presents a filter ensemble technique for RCSP (FERCSP) to further extract frequency information and aggregate all the RCSPs efficiently to get an ensemble-based solution. The performance of the proposed algorithm is evaluated on data set IVa of BCI Competition III against other five RCSPbased algorithms. The experimental results show that FERCSP significantly outperforms those of the existing methods in classification accuracy. The FERCSP outperforms the CSP algorithm and R-CSP-A algorithm in all five subjects with an average improvement of 6% in accuracy.

  18. Standardized EEG interpretation accurately predicts prognosis after cardiac arrest

    DEFF Research Database (Denmark)

    Westhall, Erik; Rossetti, Andrea O; van Rootselaar, Anne-Fleur; Wesenberg Kjaer, Troels; Horn, Janneke; Ullén, Susann; Friberg, Hans; Nielsen, Niklas; Rosén, Ingmar; Åneman, Anders; Erlinge, David; Gasche, Yvan; Hassager, Christian; Hovdenes, Jan; Kjaergaard, Jesper; Kuiper, Michael; Pellis, Tommaso; Stammet, Pascal; Wanscher, Michael; Wetterslev, Jørn; Wise, Matt P; Cronberg, Tobias

    2016-01-01

    OBJECTIVE: To identify reliable predictors of outcome in comatose patients after cardiac arrest using a single routine EEG and standardized interpretation according to the terminology proposed by the American Clinical Neurophysiology Society. METHODS: In this cohort study, 4 EEG specialists......, blinded to outcome, evaluated prospectively recorded EEGs in the Target Temperature Management trial (TTM trial) that randomized patients to 33°C vs 36°C. Routine EEG was performed in patients still comatose after rewarming. EEGs were classified into highly malignant (suppression, suppression with...... periodic discharges, burst-suppression), malignant (periodic or rhythmic patterns, pathological or nonreactive background), and benign EEG (absence of malignant features). Poor outcome was defined as best Cerebral Performance Category score 3-5 until 180 days. RESULTS: Eight TTM sites randomized 202...

  19. The value of sonographic gallbladder wall patterns in differentiating malignant from benign ascites

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Young Rae; Park, Hae Won; Lee, Young Uk; Oh, Won Ja [Koryo General Hospital, Seoul (Korea, Republic of)

    1991-09-15

    This investigation evaluates whether the appearance and thickness of the gallbladder (GB) wall can be clinically useful to determine the etiology of ascites by ultrasonography. Another purpose of this study is to verify the existence of statistically significant relationship between GB wall patterns and serum albumin level. Findings on ultrasonogram were reviewed retrospectively in 90 patients with ascites. The statistical analysis of the results reveals no correlation between hypoalbuminemia and GB wall patterns (P>0.05). There was a significant difference in GB wall patterns between benign (group 1 and 2) and malignant (group 3 and 4) conditions (P>0.05). The carcinoma, with the exception of hepatocellular the gallbladder wall was significantly thicker in the cirrhosis brougs than in the malignant group. Twenty-seven patients (87%) in group 1 had thickened GB walls, whereas 16 patients (76%) in group 3 showed normal single layered GB walls. This difference was statistically significant (P>0.05). However no statistically significant difference was found between liver cirrhosis (group 1) and liver cirrhosis associated with hepatocellular carcinoma (group 4) (P>0.05). Also, with the except of hepatocellular carcinoma (group 3) there also was no significant difference found between benign noncirrhotic pathology (group 2) and malignancy. These results suggests that there is a distant sonographic appearance of the GB wall according to different ascitis etiologies. This can pathology be seen when comparing patients with liver carrhosis and malignancy other than hepatocellular carcinoma. However sonographic findings of the GB wall patterns in ascites lacks diagnostic value in differentiating benign from malignant disease causing ascites.

  20. The value of sonographic gallbladder wall patterns in differentiating malignant from benign ascites

    International Nuclear Information System (INIS)

    This investigation evaluates whether the appearance and thickness of the gallbladder (GB) wall can be clinically useful to determine the etiology of ascites by ultrasonography. Another purpose of this study is to verify the existence of statistically significant relationship between GB wall patterns and serum albumin level. Findings on ultrasonogram were reviewed retrospectively in 90 patients with ascites. The statistical analysis of the results reveals no correlation between hypoalbuminemia and GB wall patterns (P>0.05). There was a significant difference in GB wall patterns between benign (group 1 and 2) and malignant (group 3 and 4) conditions (P>0.05). The carcinoma, with the exception of hepatocellular the gallbladder wall was significantly thicker in the cirrhosis brougs than in the malignant group. Twenty-seven patients (87%) in group 1 had thickened GB walls, whereas 16 patients (76%) in group 3 showed normal single layered GB walls. This difference was statistically significant (P>0.05). However no statistically significant difference was found between liver cirrhosis (group 1) and liver cirrhosis associated with hepatocellular carcinoma (group 4) (P>0.05). Also, with the except of hepatocellular carcinoma (group 3) there also was no significant difference found between benign noncirrhotic pathology (group 2) and malignancy. These results suggests that there is a distant sonographic appearance of the GB wall according to different ascitis etiologies. This can pathology be seen when comparing patients with liver carrhosis and malignancy other than hepatocellular carcinoma. However sonographic findings of the GB wall patterns in ascites lacks diagnostic value in differentiating benign from malignant disease causing ascites

  1. The Clinical and Neurophysiological Features of Epileptic Syndromes Associated with Benign Focal Epileptiform Discharges of Childhood

    OpenAIRE

    N. A. Ermolaenko; I A Buchneva; Zakharova, E. I.

    2014-01-01

    Benign focal epileptiform discharge of childhood (BFEDC) is an age-dependent pattern determined in electroencephalograms (EEGs), which is associated with idiopathic benign focal epilepsy (BFE). Studies of BFE revealed symptomatic phenocopies in patients with cerebral struc- tural abnormalities in such conditions as infantile cerebral palsy and malformations. Some arguments against the «benign» nature of BFEDC are presented, since BFEDC may impair various cognitive functions and behavior (e.g....

  2. Dietary patterns and benign breast diseases: a case-control study.

    Science.gov (United States)

    Tiznobeyk, Zeinab; Sheikhi Mobarakeh, Zahra; Qorbani, Mostafa; Koohdani, Fariba; Sotoudeh, Gity; Khajehnasiri, Farahnaz; Khosravi, Shahla; Doostan, Farideh

    2016-07-01

    Several studies have investigated the relation between benign breast diseases (BBD) and food intake. However, dietary patterns of these patients have not been taken into consideration up to now. The aim of this study is to determine the association between dietary patterns and BBD. In this case-control study, ninety-six patients with BBD and seventy controls were selected from women attending the Iranian Center for Breast Cancer affiliated with Academic Center for Education, Culture and Research. Demographic, physical activity and semi-quantitative FFQ were completed. The main dietary patterns were extracted by factor analysis. Two major dietary patterns emerged: Healthy dietary pattern including fish, poultry, eggs, low-fat dairy products, vegetables, legumes, nuts and seeds, whole grains, oil and mayonnaise, olives, fruits; and Unhealthy dietary pattern including red meats, organ and processed meats, high-fat dairy products, refined grains, sweets and desserts, animal and solid fats. After adjustment for age, BMI and energy intake, the participants in the highest tertile of Healthy dietary pattern (OR 0·44; 95 % CI 0·20, 0·99) were less likely to have BBD compared with those in the first tertile. After adjustment for other confounding variables, this relationship still remained close to significant level. However, higher consumption of Unhealthy dietary pattern was not associated with the risk of BBD. In conclusion, Healthy dietary pattern might be inversely associated with the risk of BBD; however, this result should be interpreted with caution. Future studies are needed to confirm our findings. PMID:27198589

  3. Peak and averaged bicoherence for different EEG patterns during general anaesthesia

    Directory of Open Access Journals (Sweden)

    Myles Paul

    2010-11-01

    levels (comparable BIS estimates were 0.928(0.905-0.950 and 0.801(0.786-0.816. Estimates of linear regression and areas under ROC curves supported Pk findings. Bicoherence for eye movement artifacts were the most distinctive with respect to other EEG patterns (average |z| value 13.233. Conclusions This study quantified associations between deepening anaesthesia and increase in bicoherence for different frequency components and bicoherence estimates. Increase in bicoherence was also established for eye movement artifacts. While identified associations extend earlier findings of bicoherence changes with increases in anaesthetic drug concentration, results indicate that the unequal band bifrequency region, δ_θ, provides better predictive capabilities than equal band bifrequency regions.

  4. Anti-tissue transglutaminase antibodies and EEG pattern in celiac patients on prolonged gluten-free diet

    Directory of Open Access Journals (Sweden)

    A. Berio

    2013-01-01

    Full Text Available The Authors investigate the relationship between serum anti-tTG antibodies and EEG pattern in 12 celiac patients of various age on gluten-free diet for 1-10 years. In a group of 6 patients with good compliance with the diet, anti-tTG antibodies were normal in all and EEG in 5; in another group of 6 patients with poor compliance with the diet, serum anti-tTG antibodies were raised in all; EEG abnormalities of various gravity were reported in 5 patients. The concomitance of raised anti-tTG antibodies and EEG abnormalities is stressed, as possible expression of an immune-inflammatory reaction persistent in Central Nervous System.

  5. Regional scalp EEG slow-wave synchronization during sleep cyclic alternating pattern A1 subtypes.

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    Ferri, Raffaele; Rundo, Francesco; Bruni, Oliviero; Terzano, Mario G; Stam, Cornelis J

    2006-09-01

    The levels of EEG synchronization, in the 0.25-2.5 Hz band, during the A1 subtypes of the sleep "cyclic alternating pattern" (CAP) were measured in five healthy subjects by means of the synchronization likelihood (SL) algorithm. SL was measured for seven electrode pairs (F4-F3, C4-C3, P4-P3 for the analysis of interhemispheric SL and F4-C4, C4-P4, F3-C3, and C3-P3, for the analysis of intrahemispheric SL). During the A1 CAP subtypes, SL tended to be highest between pairs of electrodes situated over different hemispheres; in particular, SL obtained from F4-F3 was the highest, followed by that of P4-P3. These results indicate that the transient high level of synchronization in the slow-wave EEG range, during the sleep A1 CAP subtypes, is a phenomenon involving mostly the anterior parts of the brain and is probably based on interhemispheric interactions, possibly mediated by transcallosal connections. PMID:16806696

  6. 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...

  7. Radiation therapy for benign diseases: patterns of care study in Germany

    International Nuclear Information System (INIS)

    Background: Radiotherapy of benign diseases is controversial and rarely applied in Anglo-American countries, whereas in other parts of the world it is commonly practiced for several benign disorders. Similar to a European survey, a pattern of care study was conducted in Germany. Method: Using a mailed questionnaire, radiation equipment, treatment indication, number of patients, and treatment concepts were assessed in 1994, 1995, and 1996 in 134 of 152 German institutions (88%): 22 in East and 112 in West Germany; 30 in university hospitals and 104 in community hospitals. Average numbers of each institution and of all institutions were analyzed for frequencies and ratios between regions and among institutions. Radiation treatment concepts were analyzed. Results: A mean of 2 (range 1-7) megavoltage and 1.4 (range 0-4) orthovoltage units were available per institution; 32 institutions (24%) had no orthovoltage equipment. A mean of 20,082 patients were treated annually: 456 (2%) for inflammatory diseases (221 hidradenitis, 78 local infection, 23 parotitis; 134 not specified) 12,600 (63%) for degenerative diseases (2711 peritendinitis humeroscapularis, 1555 epicondylitis humeri; 1382 plantar/dorsal heel spur; 2434 degenerative osteoarthritis; 4518 not specified); 927 (5%) for hyperproliferative diseases (146 Dupuytren's contracture, 382 keloids; 155 Peyronie's disease; 244 not specified); 1210 (6%) for functional disorders (853 Graves' orbitopathy; 357 not specified); and 4889 (24%) for other disorders (e.g., 3680 heterotopic ossification prophylaxis). In univariate analysis, there were geographic (West vs. East Germany) differences in using radiation therapy (RT) for inflammatory and degenerative disorders, and institutional differences (university versus community hospitals) in using RT for hyperproliferative and functional disorders (p < 0.05). The prescribed dose concepts were mostly in the low dose range, <10 Gy but varied widely and inconsistently within

  8. Time-series analysis of sleep wake stage of rat EEG using time-dependent pattern entropy

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    Ishizaki, Ryuji; Shinba, Toshikazu; Mugishima, Go; Haraguchi, Hikaru; Inoue, Masayoshi

    2008-05-01

    We performed electroencephalography (EEG) for six male Wistar rats to clarify temporal behaviors at different levels of consciousness. Levels were identified both by conventional sleep analysis methods and by our novel entropy method. In our method, time-dependent pattern entropy is introduced, by which EEG is reduced to binary symbolic dynamics and the pattern of symbols in a sliding temporal window is considered. A high correlation was obtained between level of consciousness as measured by the conventional method and mean entropy in our entropy method. Mean entropy was maximal while awake (stage W) and decreased as sleep deepened. These results suggest that time-dependent pattern entropy may offer a promising method for future sleep research.

  9. Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery

    Directory of Open Access Journals (Sweden)

    Rui Zhang

    2013-01-01

    Full Text Available Common spatial pattern (CSP is one of the most popular and effective feature extraction methods for motor imagery-based brain-computer interface (BCI, but the inherent drawback of CSP is that the estimation of the covariance matrices is sensitive to noise. In this work, local temporal correlation (LTC information was introduced to further improve the covariance matrices estimation (LTCCSP. Compared to the Euclidean distance used in a previous CSP variant named local temporal CSP (LTCSP, the correlation may be a more reasonable metric to measure the similarity of activated spatial patterns existing in motor imagery period. Numerical comparisons among CSP, LTCSP, and LTCCSP were quantitatively conducted on the simulated datasets by adding outliers to Dataset IVa of BCI Competition III and Dataset IIa of BCI Competition IV, respectively. Results showed that LTCCSP achieves the highest average classification accuracies in all the outliers occurrence frequencies. The application of the three methods to the EEG dataset recorded in our laboratory also demonstrated that LTCCSP achieves the highest average accuracy. The above results consistently indicate that LTCCSP would be a promising method for practical motor imagery BCI application.

  10. EEG-fMRI correlation patterns in the presurgical evaluation of focal epilepsy: a comparison with electrocorticographic data and surgical outcome measures.

    Science.gov (United States)

    van Houdt, Petra J; de Munck, Jan C; Leijten, Frans S S; Huiskamp, Geertjan J M; Colon, Albert J; Boon, Paul A J M; Ossenblok, Pauly P W

    2013-07-15

    EEG-correlated functional MRI (EEG-fMRI) visualizes brain regions associated with interictal epileptiform discharges (IEDs). This technique images the epileptiform network, including multifocal, superficial and deeply situated cortical areas. To understand the role of EEG-fMRI in presurgical evaluation, its results should be validated relative to a gold standard. For that purpose, EEG-fMRI data were acquired for a heterogeneous group of surgical candidates (n=16) who were later implanted with subdural grids and strips (ECoG). The EEG-fMRI correlation patterns were systematically compared with brain areas involved in IEDs ECoG, using a semi-automatic analysis method, as well as to the seizure onset zone, resected area, and degree of seizure freedom. In each patient at least one of the EEG-fMRI areas was concordant with an interictally active ECoG area, always including the early onset area of IEDs in the ECoG data. This confirms that EEG-fMRI reflects a pattern of onset and propagation of epileptic activity. At group level, 76% of the BOLD regions that were covered with subdural grids, were concordant with interictally active ECoG electrodes. Due to limited spatial sampling, 51% of the BOLD regions were not covered with electrodes and could, therefore, not be validated. From an ECoG perspective it appeared that 29% of the interictally active ECoG regions were missed by EEG-fMRI and that 68% of the brain regions were correctly identified as inactive with EEG-fMRI. Furthermore, EEG-fMRI areas included the complete seizure onset zone in 83% and resected area in 93% of the data sets. No clear distinction was found between patients with a good or poor surgical outcome: in both patient groups, EEG-fMRI correlation patterns were found that were either focal or widespread. In conclusion, by comparison of EEG-fMRI with interictal invasive EEG over a relatively large patient population we were able to show that the EEG-fMRI correlation patterns are spatially accurate at the

  11. Pattern Recognition With Adaptive-Thresholds For Sleep Spindle In High Density EEG Signals

    Science.gov (United States)

    Gemignani, Jessica; Agrimi, Jacopo; Cheli, Enrico; Gemignani, Angelo; Laurino, Marco; Allegrini, Paolo; Landi, Alberto; Menicucci, Danilo

    2016-01-01

    Sleep spindles are electroencephalographic oscillations peculiar of non-REM sleep, related to neuronal mechanisms underlying sleep restoration and learning consolidation. Based on their very singular morphology, sleep spindles can be visually recognized and detected, even though this approach can lead to significant mis-detections. For this reason, many efforts have been put in developing a reliable algorithm for spindle automatic detection, and a number of methods, based on different techniques, have been tested via visual validation. This work aims at improving current pattern recognition procedures for sleep spindles detection by taking into account their physiological sources of variability. We provide a method as a synthesis of the current state of art that, improving dynamic threshold adaptation, is able to follow modification of spindle characteristics as a function of sleep depth and inter-subjects variability. The algorithm has been applied to physiological data recorded by a high density EEG in order to perform a validation based on visual inspection and on evaluation of expected results from normal night sleep in healthy subjects. PMID:26736332

  12. Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques

    Directory of Open Access Journals (Sweden)

    Jose Luis Rodríguez-Sotelo

    2014-12-01

    Full Text Available Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages. There is a scientific agreement on the characteristics of the five stages of human sleep, based on EEG analysis. Nevertheless, manual stage classification is still the most widely used approach. This work proposes a new automatic sleep classification method based on unsupervised feature classification algorithms recently developed, and on EEG entropy measures. This scheme extracts entropy metrics from EEG records to obtain a feature vector. Then, these features are optimized in terms of relevance using the Q-α algorithm. Finally, the resulting set of features is entered into a clustering procedure to obtain a final segmentation of the sleep stages. The proposed method reached up to an average of 80% correctly classified stages for each patient separately while keeping the computational cost low.

  13. Wicket spikes: a case-control study of a benign eletroencephalografic variant pattern "Wicket spikes": estudo de variante eletrográfica benigna

    Directory of Open Access Journals (Sweden)

    MARCUS SABRY AZAR BATISTA

    1999-09-01

    Full Text Available Wicket spikes (WS are a benign eletroencephalogram (EEG variant, seen mainly in adults, during somnolence, in the temporal regions, in many clinical situations. WS can appear in trains or isolatedly, sometimes being difficult to differentiate from epileptiform activity. We reviewed 2,000 EEG's, found 65 with WS (3.25% and compared them with 65 normal EEG without WS. There was statistically significant (SS association between WS and age over 33; adolescent age was correlated to absence of WS and age over 65, to the presence of WS; there was an inverse correlation between WS and epilepsy, related to differences in age; a SS association with cerebrovascular disorders disappeared after controlling for age; a SS correlation with headache was also related to age; female predominance was not SS. There was a great variety of clinical situation associated with WS. We conclude that WS are a inespecific normal variant of the EEG that is age-related.As Wicket spikes (WS são um padrão benigno, variante da normalidade do eletrencefalograma (EEG, vistas principalmente em adultos, durante a sonolência, nas regiões temporais, em situações clínicas variadas. WS aparecem em "trens" ou isoladamente, podendo ser difícil diferenciá-las de atividade epileptiforme. Nós revisamos 2.000 EEG e encontramos 65 com WS (3,25% e os comparamos a 65 EEG 's normais sem WS. Encontramos associação estatisticamente significante (ES entre WS e idade acima de 33 anos; adolescência e ausência de WS e idade acima de 65 e presença de WS. Houve correlação inversa entre WS e epilepsia, explicada por diferenças nas médias de idade. A correlação ES entre WS e doença cerebrovascular desapareceu após controlarmos a idade. A correlação ES a cefaléia dependeu de sua relação à idade. A predominância do sexo feminino não foi ES. Houve maior variedade de situações clínicas associadas a WS. WS são uma variante normal do EEG, idade-relacionada.

  14. Error-related EEG patterns during tactile human-machine interaction

    NARCIS (Netherlands)

    Lehne, M.; Ihme, K.; Brouwer, A.M.; Erp, J.B.F. van; Zander, T.O.

    2009-01-01

    Recently, the use of brain-computer interfaces (BCIs) has been extended from active control to passive detection of cognitive user states. These passive BCI systems can be especially useful for automatic error detection in human-machine systems by recording EEG potentials related to human error proc

  15. 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

  16. Information theoretic measures of network coordination in high-frequency scalp EEG reveal dynamic patterns associated with seizure termination.

    Science.gov (United States)

    Stamoulis, Catherine; Schomer, Donald L; Chang, Bernard S

    2013-08-01

    How a seizure terminates is still under-studied and, despite its clinical importance, remains an obscure phase of seizure evolution. Recent studies of seizure-related scalp EEGs at frequencies >100 Hz suggest that neural activity, in the form of oscillations and/or neuronal network interactions, may play an important role in preictal/ictal seizure evolution (Andrade-Valenca et al., 2011; Stamoulis et al., 2012). However, the role of high-frequency activity in seizure termination, is unknown, if it exists at all. Using information theoretic measures of network coordination, this study investigated ictal and immediate postictal neurodynamic interactions encoded in scalp EEGs from a relatively small sample of 8 patients with focal epilepsy and multiple seizures originating in temporal and/or frontal brain regions, at frequencies ≤ 100 Hz and >100 Hz, respectively. Despite some heterogeneity in the dynamics of these interactions, consistent patterns were also estimated. Specifically, in several seizures, linear or non-linear increase in high-frequency neuronal coordination during ictal intervals, coincided with a corresponding decrease in coordination at frequencies <100 Hz, suggesting a potential interference role of high-frequency activity, to disrupt abnormal ictal synchrony at lower frequencies. These changes in network synchrony started at least 20-30s prior to seizure offset, depending on the seizure duration. Opposite patterns were estimated at frequencies ≤ 100 Hz in several seizures. These results raise the possibility that high-frequency interference may occur in the form of progressive network coordination during the ictal interval, which continues during the postictal interval. This may be one of several possible mechanisms that facilitate seizure termination. In fact, inhibition of pairwise interactions between EEGs by other signals in their spatial neighborhood, quantified by negative interaction information, was estimated at frequencies ≤ 100 Hz

  17. Small-world Characteristics of EEG Patterns in Post-Anoxic Encephalopathy

    OpenAIRE

    MartijnBeudel; JocemHBoersma; MarleenC.Tjepkema-Cloostermans

    2014-01-01

    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 whe...

  18. 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

  19. Small-world characteristics of EEG patterns in post-anoxic encephalopathy.

    Science.gov (United States)

    Beudel, Martijn; Tjepkema-Cloostermans, Marleen C; Boersma, Jochem H; van Putten, Michel J A M

    2014-01-01

    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 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, 19-channel cEEG data were 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 were 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 parameters

  20. Small-World Characteristics of EEG Patterns in Post-Anoxic Encephalopathy

    OpenAIRE

    Beudel, Martijn; Tjepkema-Cloostermans, Marleen C; Boersma, Jochem H.; van Putten, Michel J. A. M.

    2014-01-01

    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 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 c...

  1. Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects

    OpenAIRE

    Sburlea, Andreea Ioana; Montesano, Luis; Minguez, Javier

    2016-01-01

    One use of EEG-based brain-computer interfaces (BCIs) in rehabilitation is the detection of movement intention. In this paper we investigate for the first time the instantaneous phase of movement related cortical potential (MRCP) and its application to the detection of gait intention. We demonstrate the utility of MRCP phase in two independent datasets, in which 10 healthy subjects and 9 chronic stroke patients executed a self-initiated gait task in three sessions. Phase features were compare...

  2. Discrimination of Motor Imagery-Induced EEG Patterns in Patients with Complete Spinal Cord Injury

    Directory of Open Access Journals (Sweden)

    G. Pfurtscheller

    2009-01-01

    Full Text Available EEG-based discrimination between different motor imagery states has been subject of a number of studies in healthy subjects. We investigated the EEG of 15 patients with complete spinal cord injury during imagined right hand, left hand, and feet movements. In detail we studied pair-wise discrimination functions between the 3 types of motor imagery. The following classification accuracies (mean ± SD were obtained: left versus right hand 65.03% ± 8.52, left hand versus feet 68.19% ± 11.08, and right hand versus feet 65.05% ± 9.25. In 5 out of 8 paralegic patients, the discrimination accuracy was greater than 70% but in only 1 out of 7 tetraplagic patients. The present findings provide evidence that in the majority of paraplegic patients an EEG-based BCI could achieve satisfied results. In tetraplegic patients, however, it is expected that extensive training-sessions are necessary to achieve a good BCI performance at least in some subjects.

  3. Noisy galvanic vestibular stimulation modulates the amplitude of EEG synchrony patterns.

    Science.gov (United States)

    Kim, Diana J; Yogendrakumar, Vignan; Chiang, Joyce; Ty, Edna; Wang, Z Jane; McKeown, Martin J

    2013-01-01

    Noisy galvanic vestibular stimulation has been associated with numerous cognitive and behavioural effects, such as enhancement of visual memory in healthy individuals, improvement of visual deficits in stroke patients, as well as possibly improvement of motor function in Parkinson's disease; yet, the mechanism of action is unclear. Since Parkinson's and other neuropsychiatric diseases are characterized by maladaptive dynamics of brain rhythms, we investigated whether noisy galvanic vestibular stimulation was associated with measurable changes in EEG oscillatory rhythms within theta (4-7.5 Hz), low alpha (8-10 Hz), high alpha (10.5-12 Hz), beta (13-30 Hz) and gamma (31-50 Hz) bands. We recorded the EEG while simultaneously delivering noisy bilateral, bipolar stimulation at varying intensities of imperceptible currents - at 10, 26, 42, 58, 74 and 90% of sensory threshold - to ten neurologically healthy subjects. Using standard spectral analysis, we investigated the transient aftereffects of noisy stimulation on rhythms. Subsequently, using robust artifact rejection techniques and the Least Absolute Shrinkage Selection Operator regression and cross-validation, we assessed the combinations of channels and power spectral features within each EEG frequency band that were linearly related with stimulus intensity. We show that noisy galvanic vestibular stimulation predominantly leads to a mild suppression of gamma power in lateral regions immediately after stimulation, followed by delayed increase in beta and gamma power in frontal regions approximately 20-25 s after stimulation ceased. Ongoing changes in the power of each oscillatory band throughout frontal, central/parietal, occipital and bilateral electrodes predicted the intensity of galvanic vestibular stimulation in a stimulus-dependent manner, demonstrating linear effects of stimulation on brain rhythms. We propose that modulation of neural oscillations is a potential mechanism for the previously-described cognitive

  4. Noisy galvanic vestibular stimulation modulates the amplitude of EEG synchrony patterns.

    Directory of Open Access Journals (Sweden)

    Diana J Kim

    Full Text Available Noisy galvanic vestibular stimulation has been associated with numerous cognitive and behavioural effects, such as enhancement of visual memory in healthy individuals, improvement of visual deficits in stroke patients, as well as possibly improvement of motor function in Parkinson's disease; yet, the mechanism of action is unclear. Since Parkinson's and other neuropsychiatric diseases are characterized by maladaptive dynamics of brain rhythms, we investigated whether noisy galvanic vestibular stimulation was associated with measurable changes in EEG oscillatory rhythms within theta (4-7.5 Hz, low alpha (8-10 Hz, high alpha (10.5-12 Hz, beta (13-30 Hz and gamma (31-50 Hz bands. We recorded the EEG while simultaneously delivering noisy bilateral, bipolar stimulation at varying intensities of imperceptible currents - at 10, 26, 42, 58, 74 and 90% of sensory threshold - to ten neurologically healthy subjects. Using standard spectral analysis, we investigated the transient aftereffects of noisy stimulation on rhythms. Subsequently, using robust artifact rejection techniques and the Least Absolute Shrinkage Selection Operator regression and cross-validation, we assessed the combinations of channels and power spectral features within each EEG frequency band that were linearly related with stimulus intensity. We show that noisy galvanic vestibular stimulation predominantly leads to a mild suppression of gamma power in lateral regions immediately after stimulation, followed by delayed increase in beta and gamma power in frontal regions approximately 20-25 s after stimulation ceased. Ongoing changes in the power of each oscillatory band throughout frontal, central/parietal, occipital and bilateral electrodes predicted the intensity of galvanic vestibular stimulation in a stimulus-dependent manner, demonstrating linear effects of stimulation on brain rhythms. We propose that modulation of neural oscillations is a potential mechanism for the previously

  5. Source localization for EEG patterns relevant to motor imagery BCI control

    Czech Academy of Sciences Publication Activity Database

    Bobrov, P.; Frolov, A.; Húsek, Dušan; Tintěra, J.

    Ostrava: VŠB - Technical University, 2013 - (Krátký, P.; Dvorský, J.; Moravec, P.), s. 459-464 ISBN 978-80-248-3073-5. [WOFEX 2013. Annual workshop /11./. Ostrava (CZ), 10.09.2013-11.09.2013] Grant ostatní: GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073 Institutional support: RVO:67985807 Keywords : brain computer interface * inverse EEG problem * brain activity location * signal classification * independent component analysis Subject RIV: IN - Informatics, Computer Science

  6. Different thallium-201 single-photon emission tomographic patterns in benign and aggressive meningiomas

    Energy Technology Data Exchange (ETDEWEB)

    Tedeschi, E. [Dipartimento di Diagnostica per Immagini, Centro CNR per la Medicina Nucleare, Napoli (Italy); Soricelli, A. [Dipartimento di Diagnostica per Immagini, Centro CNR per la Medicina Nucleare, Napoli (Italy); Brunetti, A. [Dipartimento di Diagnostica per Immagini, Centro CNR per la Medicina Nucleare, Napoli (Italy); Romano, M. [Dipartimento di Diagnostica per Immagini, Centro CNR per la Medicina Nucleare, Napoli (Italy); Bucciero, A. [Istituto di Neurochirurgia, Universita `Federico II`, Napoli (Italy); Iaconetta, G. [Istituto di Neurochirurgia, Universita `Federico II`, Napoli (Italy); Alfieri, A. [Istituto di Neurochirurgia, Universita `Federico II`, Napoli (Italy); Postiglione, A. [Dipartimento di Clinica Medica, Universita `Federico II`, Napoli (Italy); Salvatore, M. [Dipartimento di Diagnostica per Immagini, Centro CNR per la Medicina Nucleare, Napoli (Italy)

    1996-11-01

    To evaluate the possibility of preoperatively obtaining an index of aggressiveness for intracranial meningiomas, we prospectively studied 22 patients with computed tomographic or magnetic resonance imaging evidence of meningeal tumour, using single-photon emission tomography (SPET) of the brain and thallium-201 ({sup 201}Tl). On a brain-dedicated SPET scanner, a rapid acquisition protocol with early, short scans was started simultaneously with the intravenous administration of 111 MBq {sup 201}Tl, covering the initial intratumoral distribution of the tracer. Twenty minutes post injection, a delayed SPET scan was also obtained. On the reconstructed and attenuation-corrected images we calculated the {sup 201}Tl concentration in tumour and normal contralateral brain tissue, and compared intratumoral tracer concentration in the initial and the final part of the rapid acquisition protocol. Benign and malignant meningiomas were classified as such based on histological examination. In malignant lesions, the ratio of the {sup 201}Tl concentration at 2-4 min post injection to that at 14-16 min was found to be significantly higher than in non-aggressive neoplasms (mean{+-}1 SD: 1.14{+-}0.31 and 0.56{+-}0.13, respectively, P <0.01). Conversely, in the delayed scan, most lesions showed high tracer concentration, and the two groups could not be distinguished. In addition, three recurrent meningiomas displayed the same imaging behaviour as the malignant group, i.e. had similar {sup 201}Tl concentration values at 2-4 and at 14-16 min. Our findings suggest that the comparative assessment of intratumoral {sup 201}Tl concentration at 2-4 and at 14-16 min post injection could provide a fast, simple method to differentiate preoperatively intracranial meningiomas with different biological behaviour. (orig.). With 3 figs., 1 tab.

  7. Different thallium-201 single-photon emission tomographic patterns in benign and aggressive meningiomas

    International Nuclear Information System (INIS)

    To evaluate the possibility of preoperatively obtaining an index of aggressiveness for intracranial meningiomas, we prospectively studied 22 patients with computed tomographic or magnetic resonance imaging evidence of meningeal tumour, using single-photon emission tomography (SPET) of the brain and thallium-201 (201Tl). On a brain-dedicated SPET scanner, a rapid acquisition protocol with early, short scans was started simultaneously with the intravenous administration of 111 MBq 201Tl, covering the initial intratumoral distribution of the tracer. Twenty minutes post injection, a delayed SPET scan was also obtained. On the reconstructed and attenuation-corrected images we calculated the 201Tl concentration in tumour and normal contralateral brain tissue, and compared intratumoral tracer concentration in the initial and the final part of the rapid acquisition protocol. Benign and malignant meningiomas were classified as such based on histological examination. In malignant lesions, the ratio of the 201Tl concentration at 2-4 min post injection to that at 14-16 min was found to be significantly higher than in non-aggressive neoplasms (mean±1 SD: 1.14±0.31 and 0.56±0.13, respectively, P 201Tl concentration values at 2-4 and at 14-16 min. Our findings suggest that the comparative assessment of intratumoral 201Tl concentration at 2-4 and at 14-16 min post injection could provide a fast, simple method to differentiate preoperatively intracranial meningiomas with different biological behaviour. (orig.). With 3 figs., 1 tab

  8. Pattern of mental ill health morbidities following hysterectomy for benign gynaecological disorders among Nigerian women

    Directory of Open Access Journals (Sweden)

    Morhason-Bello Imran O

    2009-07-01

    Full Text Available Abstract Objective to compare the pre and post hysterectomy mental ill health (MIH status and also, to determine whether there is any association with the surgical indication. Methodology An observational study, conducted among women scheduled for hysterectomy at the University College Hospital, Ibadan from January till June 2005. The MIH morbidities were assessed using a validated general health questionnaire (GHQ before and after the surgery by trained research assistant. The score of 4 and above was used as the cut off. Cross tabulations were performed to detect any association and also to compare pre and post hysterectomy mental health status. The level of statistical significance was set at P Results Of the 50 women recruited, 45 participated in the study. The age range of the participants was 35 to 63 years with a mean of 48.6 (SD = 0.6 years. Anxiety related disorder was present in 20 (44.4%, and depression in 3 (6.7% before hysterectomy. Post surgery, there was significant increase in those with anxiety by 6.8% and a reduction in the proportion of depressive illness by 2.3%. Uterine fibroid as a preoperative diagnosis, had significant association among those with anxiety related disorder (68.4% and depression (10.5%. Conclusion This study suggests that mental ill health may complicates hysterectomy for benign uterine pathology among Nigerian women, and that anxiety related disorders increases after operation with the highest proportion in those with clinical diagnosis of Uterine Fibroid. We recommend adequate preoperative counseling using properly trained psychologists when affordable to minimize these morbidities.

  9. A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study

    Directory of Open Access Journals (Sweden)

    Duffy Frank H

    2012-06-01

    Full Text Available Abstract Background The autism rate has recently increased to 1 in 100 children. Genetic studies demonstrate poorly understood complexity. Environmental factors apparently also play a role. Magnetic resonance imaging (MRI studies demonstrate increased brain sizes and altered connectivity. Electroencephalogram (EEG coherence studies confirm connectivity changes. However, genetic-, MRI- and/or EEG-based diagnostic tests are not yet available. The varied study results likely reflect methodological and population differences, small samples and, for EEG, lack of attention to group-specific artifact. Methods Of the 1,304 subjects who participated in this study, with ages ranging from 1 to 18 years old and assessed with comparable EEG studies, 463 children were diagnosed with autism spectrum disorder (ASD; 571 children were neuro-typical controls (C. After artifact management, principal components analysis (PCA identified EEG spectral coherence factors with corresponding loading patterns. The 2- to 12-year-old subsample consisted of 430 ASD- and 554 C-group subjects (n = 984. Discriminant function analysis (DFA determined the spectral coherence factors' discrimination success for the two groups. Loading patterns on the DFA-selected coherence factors described ASD-specific coherence differences when compared to controls. Results Total sample PCA of coherence data identified 40 factors which explained 50.8% of the total population variance. For the 2- to 12-year-olds, the 40 factors showed highly significant group differences (P Conclusions Classification success suggests a stable coherence loading pattern that differentiates ASD- from C-group subjects. This might constitute an EEG coherence-based phenotype of childhood autism. The predominantly reduced short-distance coherences may indicate poor local network function. The increased long-distance coherences may represent compensatory processes or reduced neural pruning. The wide average spectral range

  10. Clinical and EEG analysis of 104 cases mild gastroenteritis with benign infant convulsions%104例轻度胃肠炎伴良性婴幼儿惊厥的临床及脑电图分析

    Institute of Scientific and Technical Information of China (English)

    邓佳; 赵力立; 宋葳; 胡文广; 刘平

    2012-01-01

    To study clinical and EEC characteristics of mild gastroenteritis with benign infant convulsions. Methods Collect 104 cases of children in our hospital from January 2010 to December 2011 diagnosis of this disease and analyze their clinical and EEG features retrospectively. Results Convulsions occurred at the emergence of the gastrointestinal symptoms within 2 days (a total of 85cases,accountingfor 81.7% ) ,14cases occurred after 3-5 days when gastrointestinal symptoms appear (13. 5% ) , 5 cases of gastrointestinal symptoms appear after seizure (4. 8% ); the convulsions manifestations generalized ton-ic-clonic seizures, only 4 cases showed partial seizures secondarily generalized seizures; The number of seizures in the course of the disease is 1 -6 times; the average number of episodes is 2.46 times; 72 cases within 24 hours of continuous attacks and 14 cases within 48 hours of continuous attack in the 86 cases seizures of more than once; dissemination throughout the year, autumn and winter season incidence was significantly increased, especially from September to December; incidence is relatively low in April to August. 62 cases to do the video EEG monitoring, 25 cases EEG shows small sharp spikes, accounting for 40.3% , while in 1628 children cases (0-3 years) video EEG monitoring over the same period in our hospital , 206 cases EEG shows small sharp spikes, accounting for 12.6% , both with significant differences. Conclusion The convulsions in this disease are most cluster-like episodes,the seizures occurred mostly within 48hours after the gastrointestinal symptoms appear;Manifestations of seizures mostly generalize dtonic- clonicseizures, and a few as part of the attack whole body generalization; the number of attacks ranging from in one course of the disease; Most children cases convulsions recrudescent possibility is small; more EEG of cases shows small sharp spikes.%目的 研究轻度胃肠炎伴良性婴幼儿惊厥的临床及脑电图特点.方法

  11. EEG Pattern Recognition to Diagnose Epilepsy Using Wavelet and Chaos Transformations

    Directory of Open Access Journals (Sweden)

    MohammadReza Yazdchi

    2008-03-01

    Full Text Available By the time-frequency transformations like wavelet and chaos theory to find the feature from sub-bands, it is possible to diagnose the epilepsy although there are some noises and signals. To decompose the EEG into sub-bands such as delta, theta, alpha, beta and gamma, wavelet analysis is used. Chaos theory is used to compute standard deviation, correlation dimension and Lyapunov exponent from the sub-bands, then the neuron system and other classifiers, standard deviations and averages are used to increase the diagnosis accuracy of epilepsy for all three groups of normal, ictal, and inter ictal.Results show a fuzzy subtractive clustering in a specific distance including 8 parameters (persistence 96.8% and standard deviation 0.7 and by Ensemble averaging including 6 parameters (persistence 97.5% and standard deviation 0 is better than other methods and proper for clustering epilepsy disease.This statistics is considerable while visual consideration by specialized neurologists isn’t more than 80 percent.

  12. Implementation and analysis of relief patterns of the surface of benign and malignant lesions of the skin by microtopography

    Energy Technology Data Exchange (ETDEWEB)

    Lopez Pacheco, Maria del Carmen Lopez [Laboratorio de CitopatologIa Ambiental, Departamento de MorfologIa, ENCB-IPN, UP Lazaro Cardenas, Casco de Santo Tomas, 11340 (Mexico); Martins-Costa, Manuel Filipe Pereira da Cunha [Departamento de Fisica, Universidad do Minho, Escola de Ciencias Campus de Gualtar-PT-4710-057 Braga (Portugal); Zapata, Aura Judith Perez [Laboratorio de CitopatologIa Ambiental, Departamento de MorfologIa, ENCB-IPN, UP Lazaro Cardenas, Casco de Santo Tomas, 11340 (Mexico); Cherit, Judith DomInguez [Departamento de DermatologIa, Hospital General Dr Manuel Gea Gonzalez, Calzada de Tlalpan No 4800, 14000 (Mexico); Gallegos, Eva Ramon [Laboratorio de CitopatologIa Ambiental, Departamento de MorfologIa, ENCB-IPN, UP Lazaro Cardenas, Casco de Santo Tomas, 11340 (Mexico)

    2005-12-07

    The objective of this study was to be able to distinguish between healthy skin tissue and malignant ones, furthermore determining a unique pattern of roughness for each skin lesion by microtopographic analysis of the skin surface of Mexican patients during the period from April to October 2002. The standard technique used in this study for the diagnosis of skin cancer and the comparison of the results was the haematoxylin-eosin histopathological technique. Latex impressions were taken from skin lesions as well as from the healthy skin of each patient to serve as control samples. These impressions were analysed by the MICROTOP.03.MFC microtopographic system inspection. It was observed that when the tumour becomes rougher, more malign will be the lesion. On average, the melanoma present an increase of roughness of 67% compared to healthy skin, obtaining a roughness relation of 1:2.54. The percentage decreases to 49% (49%, 1:60) in the case of basal cell carcinoma and to 40% in pre-malignant lesions such as melanocytic nevus (40%, 1:150). In benign lesions such as the seborrhoea keratosis only a small increase in roughness was noted (4%, 1:0.72). Microtopographic inspection of the skin surface can be considered as a complementary diagnostic technique for skin cancer.

  13. Mental EEG Analysis Based on Infomax Algorithm

    Institute of Scientific and Technical Information of China (English)

    WUXiao-pei; GuoXiao-jing; ZANGDao-xin; SHENQian

    2004-01-01

    The patterns of EEG will change with mental tasks performed by the subject. In the field of EEG signal analysis and application, the study to get the patterns of mental EEG and then to use them to classify mental tasks has the significant scientific meaning and great application value. But for the reasons of different artifacts existing in EEG, the pattern detection of EEG under normal mental states is a very difficult problem. In this paper, Independent Component Analysisis applied to EEG signals collected from performing different mental tasks. The experiment results show that when one subject performs a single mental task in different trials, the independent components of EEG are very similar. It means that the independent components can be used as the mental EEG patterns to classify the different mental tasks.

  14. Accuracy of EEG reactivity, EEG patterns, and the Glasgow Coma Scale in predicting outcomes of comatose patients with severe head injuries%脑电图反应性预测重型颅脑外伤性昏迷患者预后的研究

    Institute of Scientific and Technical Information of China (English)

    宋春杰; 孙巧英; 杜一星; 张克忠; 万琪; 赵春生

    2013-01-01

    Objective To predict outcomes in comatose patients with severe head injuries (SHI) by comparing EEG reactivity,EEG patterns,and Glasgow Coma Scale (GCS) scores.Methods In 55 patients with comatose subsequent to severe head injury,we measured EEG reactivity,EEG patterns,and GCS scores to compare them with the outcomes after one year using the discriminant analysis method.Results EEG reactivity correctly classified 87.3%,EEG patterns classified 78.2%,and GCS allowed a correct classification in only 74.5%,P < 0.05.Conclusion EEG reactivity is an excellent outcome predictor in comatose patients with SHI and superior to EEG patterns and GCS.%目的 比较脑电图(EEG)反应性、EEG分型和GCS评分三种方法预测重型颅脑外伤性昏迷患者预后的临床价值.方法 入组患者为2007年1月至2010年12月,南京医科大学第一附属医院重型颅脑外伤性昏迷患者55例,分别对其进行了EEG反应性、EEG分型和GCS检查评估,并进行1年的随访,观察患者的预后转归情况.结果 EEG反应性、EEG分型和GCS评分预测昏迷患者预后的准确度分别为87.3%、78.2%和74.5%,P<0.05.结论 EEG反应性是判断颅脑外伤性昏迷患者预后较为理想的预测指标.

  15. The perception of stress pattern in young cochlear implanted children: an EEG study

    Directory of Open Access Journals (Sweden)

    Niki Katerina Vavatzanidis

    2016-03-01

    Full Text Available Children with sensorineural hearing loss may (regain hearing with a cochlear implant – a device that transforms sounds into electric pulses and bypasses the dysfunctioning inner ear by stimulating the auditory nerve directly with an electrode array. Many implanted children master the acquisition of spoken language successfully, yet we still have little knowledge of the actual input they receive with the implant and specifically which language sensitive cues they hear. This would be important however, both for understanding the flexibility of the auditory system when presented with stimuli after a (life-long phase of deprivation and for planning therapeutic intervention. In rhythmic languages the general stress pattern conveys important information about word boundaries. Infant language acquisition relies on such cues and can be severely hampered when this information is missing, as seen for dyslexic children and children with specific language impairment. Here we ask whether children with a cochlear implant perceive differences in stress patterns during their language acquisition phase and if they do, whether it is present directly following implant stimulation or if and how much time is needed for the auditory system to adapt to the new sensory modality. We performed a longitudinal ERP study, testing in bimonthly intervals the stress pattern perception of 17 young hearing impaired children (age range: 9-50 months; mean: 22 months during their first 6 months of implant use. An additional session before the implantation served as control baseline. During a session they passively listened to an oddball paradigm featuring the disyllable baba, which was stressed either on the first or second syllable (trochaic vs. iambic stress pattern. A group of age-matched normal hearing children participated as controls.Our results show, that within the first 6 months of implant use the implanted children develop a negative mismatch response for iambic but not

  16. The Perception of Stress Pattern in Young Cochlear Implanted Children: An EEG Study.

    Science.gov (United States)

    Vavatzanidis, Niki K; Mürbe, Dirk; Friederici, Angela D; Hahne, Anja

    2016-01-01

    Children with sensorineural hearing loss may (re)gain hearing with a cochlear implant-a device that transforms sounds into electric pulses and bypasses the dysfunctioning inner ear by stimulating the auditory nerve directly with an electrode array. Many implanted children master the acquisition of spoken language successfully, yet we still have little knowledge of the actual input they receive with the implant and specifically which language sensitive cues they hear. This would be important however, both for understanding the flexibility of the auditory system when presented with stimuli after a (life-) long phase of deprivation and for planning therapeutic intervention. In rhythmic languages the general stress pattern conveys important information about word boundaries. Infant language acquisition relies on such cues and can be severely hampered when this information is missing, as seen for dyslexic children and children with specific language impairment. Here we ask whether children with a cochlear implant perceive differences in stress patterns during their language acquisition phase and if they do, whether it is present directly following implant stimulation or if and how much time is needed for the auditory system to adapt to the new sensory modality. We performed a longitudinal ERP study, testing in bimonthly intervals the stress pattern perception of 17 young hearing impaired children (age range: 9-50 months; mean: 22 months) during their first 6 months of implant use. An additional session before the implantation served as control baseline. During a session they passively listened to an oddball paradigm featuring the disyllable "baba," which was stressed either on the first or second syllable (trochaic vs. iambic stress pattern). A group of age-matched normal hearing children participated as controls. Our results show, that within the first 6 months of implant use the implanted children develop a negative mismatch response for iambic but not for trochaic

  17. Perfusion pattern and time of vascularisation with CEUS increase accuracy in differentiating between benign and malignant tumours in 216 musculoskeletal soft tissue masses

    Energy Technology Data Exchange (ETDEWEB)

    De Marchi, Armanda, E-mail: armanda.demarchi@tiscali.it [Department of Imaging, Azienda Ospedaliera Città della Salute e della Scienza, CTO Hospital, Via Zuretti 29, 10126 Torino (Italy); Prever, Elena Brach del, E-mail: elena.brach@unito.it [Department of OrthopaedicOncology and ReconstructiveSurgery, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, CTO Hospital, Via Zuretti 29, 10126 Torino (Italy); Cavallo, Franco, E-mail: franco.cavallo@unito.it [Department of Public health and Paediatrics, University of Turin, Via Santena 5-bis, 10126 Torino (Italy); Pozza, Simona, E-mail: simona.pozza@tin.it [Department of Imaging, Azienda Ospedaliera Città della Salute e della Scienza, CTO Hospital, Via Zuretti 29, 10126 Torino (Italy); Linari, Alessandra, E-mail: linaralessandra@libero.it [Department of Pathology, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Regina Margherita Hospital, Piazza Polonia, 10126 Torino (Italy); Lombardo, Paolo, E-mail: pao.lombardo82@gmail.com [Department of DiagnosticImaging and Radiotherapy of the University of Turin, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Via Genova 3, 10126 Torino (Italy); Comandone, Alessandro, E-mail: alessandro.comandone@gradenigo.it [Department of Oncology, Gradenigo Hospital, Corso Regina Margherita, 8/10.10153 Torino (Italy); Piana, Raimondo, E-mail: raimondo.piana@libero.it [Department of OrthopaedicOncology and ReconstructiveSurgery, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, CTO Hospital, Via Zuretti 29, 10126 Torino (Italy); Faletti, Carlo [Department of Imaging, Azienda Ospedaliera Città della Salute e della Scienza, CTO Hospital, Via Zuretti 29, 10126 Torino (Italy)

    2015-01-15

    Introduction: Musculoskeletal Soft Tissue Tumours (STT) are frequent heterogeneous lesions. Guidelines consider a mass larger than 5 cm and deep with respect to the deep fascia potentially malignant. Contrast Enhanced Ultrasound (CEUS) can detect both vascularity and tumour neoangiogenesis. We hypothesised that perfusion patterns and vascularisation time could improve the accuracy of CEUS in discriminating malignant tumours from benign lesions. Materials and methods: 216 STT were studied: 40% benign lesions, 60% malignant tumours, 56% in the lower limbs. Seven CEUS perfusion patterns and three types of vascularisation (arterial-venous uptake, absence of uptake) were applied. Accuracy was evaluated by comparing imaging with the histological diagnosis. Univariate and multivariate analysis, Chi-square test and t-test for independent variables were applied; significance was set at p < 0.05 level, 95% computed CI. Results: CEUS pattern 6 (inhomogeneous perfusion), arterial uptake and location in the lower limb were associated with high risk of malignancy. CEUS pattern has PPV 77%, rapidity of vascularisation PPV 69%; location in the limbs is the most sensitive indicator, but NPV 52%, PPV 65%. The combination of CEUS-pattern and vascularisation has 74% PPV, 60% NPV, 70% sensitivity. No correlation with size and location in relation to the deep fascia was found. Conclusion: US with CEUS qualitative analysis could be an accurate technique to identify potentially malignant STT, for which second line imaging and biopsy are indicated in Referral Centers. Intense inhomogeneous enhancement with avascular areas and rapid vascularisation time could be useful in discriminating benign from malignant SST, overall when the lower limbs are involved.

  18. Perfusion pattern and time of vascularisation with CEUS increase accuracy in differentiating between benign and malignant tumours in 216 musculoskeletal soft tissue masses

    International Nuclear Information System (INIS)

    Introduction: Musculoskeletal Soft Tissue Tumours (STT) are frequent heterogeneous lesions. Guidelines consider a mass larger than 5 cm and deep with respect to the deep fascia potentially malignant. Contrast Enhanced Ultrasound (CEUS) can detect both vascularity and tumour neoangiogenesis. We hypothesised that perfusion patterns and vascularisation time could improve the accuracy of CEUS in discriminating malignant tumours from benign lesions. Materials and methods: 216 STT were studied: 40% benign lesions, 60% malignant tumours, 56% in the lower limbs. Seven CEUS perfusion patterns and three types of vascularisation (arterial-venous uptake, absence of uptake) were applied. Accuracy was evaluated by comparing imaging with the histological diagnosis. Univariate and multivariate analysis, Chi-square test and t-test for independent variables were applied; significance was set at p < 0.05 level, 95% computed CI. Results: CEUS pattern 6 (inhomogeneous perfusion), arterial uptake and location in the lower limb were associated with high risk of malignancy. CEUS pattern has PPV 77%, rapidity of vascularisation PPV 69%; location in the limbs is the most sensitive indicator, but NPV 52%, PPV 65%. The combination of CEUS-pattern and vascularisation has 74% PPV, 60% NPV, 70% sensitivity. No correlation with size and location in relation to the deep fascia was found. Conclusion: US with CEUS qualitative analysis could be an accurate technique to identify potentially malignant STT, for which second line imaging and biopsy are indicated in Referral Centers. Intense inhomogeneous enhancement with avascular areas and rapid vascularisation time could be useful in discriminating benign from malignant SST, overall when the lower limbs are involved

  19. EEG patterns from acute to chronic stroke phases in focal cerebral ischemic rats: correlations with functional recovery

    International Nuclear Information System (INIS)

    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 < 0.05) and De Ryck's test (r = 0.8077, p < 0.05). This study measured EEG activities after focal cerebral ischemia and showed that functional recovery was closely

  20. Molecular subtypes of serous borderline ovarian tumor show distinct expression patterns of benign tumor and malignant tumor-associated signatures.

    Science.gov (United States)

    Curry, Edward W J; Stronach, Euan A; Rama, Nona R; Wang, Yuepeng Y P; Gabra, Hani; El-Bahrawy, Mona A

    2014-03-01

    Borderline ovarian tumors show heterogeneity in clinical behavior. Most have excellent prognosis, although a small percentage show recurrence or progressive disease, usually to low-grade serous carcinoma. The aim of this study was to understand the molecular relationship between these entities and identify potential markers of tumor progression and therapeutic targets. We studied gene expression using Affymetrix HGU133plus2 GeneChip microarrays in 3 low-grade serous carcinomas, 13 serous borderline tumors and 8 serous cystadenomas. An independent data set of 18 serous borderline tumors and 3 low-grade serous carcinomas was used for validation. Unsupervised clustering revealed clear separation of benign and malignant tumors, whereas borderline tumors showed two distinct groups, one clustering with benign and the other with malignant tumors. The segregation into benign- and malignant-like borderline molecular subtypes was reproducible on applying the same analysis to an independent publicly available data set. We identified 50 genes that separate borderline tumors into their subgroups. Functional enrichment analysis of genes that separate borderline tumors to the two subgroups highlights a cell adhesion signature for the malignant-like subset, with Claudins particularly prominent. This is the first report of molecular subtypes of borderline tumors based on gene expression profiling. Our results provide the basis for identification of biomarkers for the malignant potential of borderline ovarian tumor and potential therapeutic targets for low-grade serous carcinoma. PMID:23948749

  1. Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Alexakis, C.; Diukova, A.; Liddle, P.F.; Auer, D.P.

    2010-01-01

    Roč. 53, č. 1 (2010), s. 239-246. ISSN 1053-8119 Grant ostatní: European Commision Fp6(XE) MEST-CT-2005-021170 Institutional research plan: CEZ:AV0Z10300504 Keywords : fMRI * electroencephalography ( EEG ) * BOLD * resting state * low-frequency fluctuations * functional connectivity * default mode Subject RIV: FH - Neurology Impact factor: 5.932, year: 2010

  2. How to write an EEG report: Dos and don’ts

    OpenAIRE

    Kaplan, Peter W.; Benbadis, Selim R.

    2013-01-01

    The EEG report is structured to include demographics of the patient studied and reason for the EEG; specifics of the EEG techniques used; a description of the patterns, frequencies, voltages, and progression of the EEG pattern that were recorded; and finally a clinical impression of the EEG significance. The interpretation should be concise, clear and to the point, avoid jargon and EEG specifics, and should be understandable by any health care practitioner.

  3. How to write an EEG report: dos and don'ts.

    Science.gov (United States)

    Kaplan, Peter W; Benbadis, Selim R

    2013-01-01

    The EEG report is structured to include demographics of the patient studied and reason for the EEG; specifics of the EEG techniques used; a description of the patterns, frequencies, voltages, and progression of the EEG pattern that were recorded; and finally a clinical impression of the EEG significance. The interpretation should be concise, clear and to the point, avoid jargon and EEG specifics, and should be understandable by any health care practitioner. PMID:23267044

  4. Use of personal EEG monitors in a behavioral neuroscience course to investigate natural setting sleep patterns and the factors affecting them in college students.

    Science.gov (United States)

    Marshall, Jillian C; Malerba, Julie R; Schroeder, Joseph A

    2011-01-01

    Sleep is often a topic of avid interest to college students, yet it is one that does not yield itself well to hands-on, interactive learning modules. Supplementing classroom learning with interactive "real world" laboratory activities provides students with a deeper understanding of behavior and its neural control. The project described here was designed to supplement the teaching of EEGs, sleep and circadian rhythms and involved students in the empirical process from hypothesizing about the factors that affect sleep, to personal data collection, data analysis and writing in the style of a peer-reviewed manuscript. Students enrolled in Behavioral Neuroscience at Connecticut College were provided with a home-based personal EEG monitor used to collect sleep data in their natural sleep setting. Participants recorded sleep data with the use of the ZEO® Personal Sleep Coach system and completed a nightly sleep journal questionnaire for seven nights. The ZEO® system uses EEG patterns to define sleep stages including wakefulness, light, deep and REM sleep. The journal included questions about factors known to affect sleep such as stress, caffeine, academic activity, exercise and alcohol. A class data set was compiled and used by students to perform univariate correlations examining the relationships between ZEO® variables and sleep journal variables. The data set allowed students to choose specific variables to investigate, analyze and write a peer-reviewed style manuscript. Significant class-wide correlations were found between specific sleep stages and behavioral variables suggesting that the ZEO® system is sophisticated yet inexpensive enough to be used as an effective tool in the classroom setting. Overall student feedback on the exercise was positive with many students indicating that it significantly enhanced their understanding of sleep architecture and made them keenly aware of the factors that affect quality of sleep. PMID:23626495

  5. Significance of incidental nasopharyngeal uptake on {sup 1}''8F-FDG PET/CT: Patterns of benign/physiologic uptake and differentiation from malignancy

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Na Rae; Yoo, Le Ryung; Yoon, Hyuk Jin; Lee, Yeong Joo; Oh, Jin Kyoung [Seoul St. Mary' s Hospital, College of Medicine, The Catholic University of Korea, Seoul (Korea, Republic of)

    2015-03-15

    The purpose of this study was to assess the significance of incidental nasopharyngeal uptake on 18F-FDG PET/CT and to identify image patterns useful in the differentiation between benign or physiologic activity and nasopharyngeal carcinoma. We retrospectively reviewed medical records of patients with nasopharyngeal uptakes on 18F-FDG PET/CT scans taken between January 2010 and July 2011. Patients with head and neck cancer, other metastatic head and neck lesions, or lymphoma were excluded. Total 177 patients were enrolled (Group A). PET images were reviewed for patterns of nasopharyngeal FDG uptake, presence/absence of cervical lymph node uptake and pattern of cervical node uptake. Diagnostic confirmation was made by pathology or clinical and radiological follow-up for 1 year or longer. Furthermore, initial PET/CT images of 48 patients with nasopharyngeal carcinoma (Group B) were reviewed for comparison with PET/CT images of Group A patients. All nasopharyngeal uptakes in Group A were confirmed to be benign. Group B showed significantly more intense FDG uptake (SUV{sub max} of Group A 3.9 ± 1.4 vs. Group B 10.4 ± 4.6, p<0.001). and asymmetric nasopharyngeal uptake (asymmetric uptake of Group A 67.8% vs. Group B 89.6%). When SUV{sub max} of 6.0 was used as cut off for detection of malignant nasopharyngeal uptake, the area under the ROC curve was 0.93 (95% confidence interval, 0.88-0.98), with a sensitivity of 88.1% and a specificity of 91.7%. Metastatic nodes in Group B showed higher SUV{sub max} (Group A 2.3 ± 0.6 vs. Group B 7.1 ± 4.0, p<0.001) and larger size (short axis of Group A 5.3 ± 2.0 mm vs. Group B 13.1 ± 4.7 mm, p<0.001) than benign nodes of Group A. The majority of Group B cases demonstrated retropharyngeal lymph node uptake (70.8%), compared to only 2 cases in Group A. In patients without a history of underlying malignancy involving head and neck, incidental nasopharyngeal uptake on PET/CT does not indicate malignancy. However, if the

  6. Hemodynamic Changes After Static and Dynamic Exercises and Treadmill Stress Test; Different Patterns in Patients with Primary Benign Exertional Headache?

    Directory of Open Access Journals (Sweden)

    Mohsen Rostami

    2012-06-01

    Full Text Available The pathophysiology of primary benign exertional headache (EH is not still clearly defined. Some researchers have suggested an impaired vascular response as the etiology of this disorder. In this study we investigated whether there are any differences in blood pressure (BP and heart rate (HR of the subjects in course of the static and dynamic exercises and the treadmill stress test between those with and without EH. From university students, 22 patients with EH (mean age: 19.8 ± 2.10, Female to Male: 7:15 and 20 normal subjects (mean age: 19.3 ± 1.97, Female: Male: 8:12 were recruited. All the subjects performed the static and dynamic exercises at 30 and 20 percent of the maximal voluntary contraction (MVC and Bruce treadmill stress test according to the standard protocols. HR and BP of all the cases at the baseline and during and immediately after each test were measured. No significant difference was found between the mean rise of HR, systolic and diastolic BP of the subjects with and without EH in static and dynamic exercises and also treadmill stress test. It seems that between those with and without EH, there is no significant difference in rise of HR and BP response to static and dynamic exercises and treadmill stress test. Further studies are required to find the pathophysiology and risk factors of EH.

  7. Quantitative EEG, Cognitive Deficits, and BECTS

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2009-09-01

    Full Text Available Researchers at Pontificia Universidade Catolica, Campinas, Brazil studied the relationship between educational problems and clinical/EEG aspects of benign childhood epilepsy with centrotemporal spikes (BECTS in 38 children, ages 8 to 11 years (average age 9.29 +/- 1.27.

  8. Phase Spectral Analysis of EEG Signals

    Institute of Scientific and Technical Information of China (English)

    YOURong-yi; CHENZhong

    2004-01-01

    A new method of phase spectral analysis of EEG is proposed for the comparative analysis of phase spectra between normal EEG and epileptic EEG signals based on the wavelet decomposition technique. By using multiscale wavelet decomposition, the original EEGs are mapped to an orthogonal wavelet space, such that the variations of phase can be observed at multiscale. It is found that the phase (and phase difference) spectra of normal EEGs are distinct from that of epileptic EEGs. That is the variations of phase (and phase difference) of normal EEGs have a distinct periodic pattern with the electrical activity proceeds in the brain, but do not the epileptic EEGs. For epileptic EEGs, only at those transient points, the phase variations are obvious. In order to verify these results with the observational data, the phase variations of EEGs in principal component space are observed and found that, the features of phase spectra is in correspondence with that the wavelet space. These results make it possible to view the behavior of EEG rhythms as a dynamic spectrum.

  9. Is "Benign Childhood Epilepsy with Centrotemporal Spikes” Always Benign?

    Directory of Open Access Journals (Sweden)

    Muhammad SAEED

    2014-07-01

    Full Text Available How to Cite This Article: Saeed M, Azam M, Shabbir N, Qamar ShA. Is "Benign Childhood Epilepsy with Centrotemporal Spikes" Always Benign? Iran J Child Neurol. 2014 Summer;8(3: 39-45.AbstractObjectiveTo determine the prevalence of associated behavioral problems and prognosis with Benign Childhood Epilepsy with CentroTemporal Spikes (BCECTS.Descriptive, Cross Sectional study that was conducted from October 2009 to April 2013 in the Department of Pediatric Neurology, the Children’s Hospital Taif, KSA.Material & MethodsThis study was conducted after approval from the Ethics Committee of the Children’s Hospital Taif, Saudi Arabia. Thirty-two patients from the age of 3 to 10 years old were recruited from the pediatric neurology clinic over a period of 4 years. All the patients were selected based on history, EEGs, and neuropsychological and neurological examinations.EEGs were performed for all the patients while in awake and sleep states. Those who had centrotemporal discharges were included in the study. All the patients also underwent a brain MRI. Only two patients had mild cortical atrophy but developmentally they were normal.ResultsIn our study, prevalence of BRE is 32/430 (7.44%. Among the 32 cases, 24 were male and eight were female. Six cases out of 32 indicated a family history of BRE. Twenty-eight cases had unilateral right sided centrotemporal discharges and four had bilateral discharges.ConclusionIt is possible that for BECTS, a high number of seizures might play an important role in the development of mild cognitive impairment and/or behavior disturbances.ReferencesBradley WG, Daroff RB, Fenichel JM, Jahrovic J. Neurology of clinical practice. 5th Ed. 2009: pp. 1953-1990.Berg AT, Berkovic SF, Brodie MJ, Buchhalter J, Cross H, Van Emde Boas M, et al: Revised terminology and concepts for organization of seizures and epilepsies: Report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia. 2010

  10. 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...

  11. Benign positional vertigo

    Science.gov (United States)

    Vertigo - positional; Benign paroxysmal positional vertigo; BPPV: dizziness- positional ... Benign positional vertigo is also called benign paroxysmal positional vertigo (BPPV). It is caused by a problem in the inner ear. ...

  12. 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.

  13. A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study

    OpenAIRE

    Duffy Frank H; Als Heidelise

    2012-01-01

    Abstract Background The autism rate has recently increased to 1 in 100 children. Genetic studies demonstrate poorly understood complexity. Environmental factors apparently also play a role. Magnetic resonance imaging (MRI) studies demonstrate increased brain sizes and altered connectivity. Electroencephalogram (EEG) coherence studies confirm connectivity changes. However, genetic-, MRI- and/or EEG-based diagnostic tests are not yet available. The varied study results likely reflect methodolog...

  14. The Clinical and Neurophysiological Features of Epileptic Syndromes Associated with Benign Focal Epileptiform Discharges of Childhood

    Directory of Open Access Journals (Sweden)

    N. A. Ermolaenko

    2014-01-01

    Full Text Available Benign focal epileptiform discharge of childhood (BFEDC is an age-dependent pattern determined in electroencephalograms (EEGs, which is associated with idiopathic benign focal epilepsy (BFE. Studies of BFE revealed symptomatic phenocopies in patients with cerebral struc- tural abnormalities in such conditions as infantile cerebral palsy and malformations. Some arguments against the «benign» nature of BFEDC are presented, since BFEDC may impair various cognitive functions and behavior (e.g., cause epileptic encephalophathies. Objective. To determine the clinical and neurophysiological features of epileptic syndromes associated with prolonged epileptiform activity during sleep in children and adolescents, as well as approaches to rational therapy. Patients and Methods. A total of 1862 children aged 2–18 admitted to the specialized Department of Psychoneurology of the Voronezh Regional Children Clinical Hospital No 1 in 2004–2007, who had epileptic seizures and non-epileptic neurological disorders, were exam- ined. The children underwent assessment of the neurological status, neuropsychological assessment, and video-EEG monitoring. The spike- wave index (SWI was calculated and magnetic resonance imaging (MRI of the brain was performed to register the epileptiform activity during sleep. Results and Discussion. It was demonstrated that when ISW of BFEDC patterns is >30%, evolution into epileptic encephalopathy was observed in 66% of patients (including epilepsy with electrical status epilepticus in sleep in 49% of patients and cognitive epileptiform disinte- gration in 17% of patients. The results prove the justification of prescribing antiepileptic drugs to patients with SWI ≥30% even if they have no epileptic seizures. Duo-therapy with valproate and ethosuximide or levetiracetam is most the effective therapy. Further prospective studies for children with BFEDC will give new insight into this area. 

  15. Benign Liver Tumors

    Science.gov (United States)

    ... Handouts Education Resources Support Services Helpful Links For Liver Health Information Call 1-800-GO-LIVER (1- ... Liver > Liver Disease Information > Benign Liver Tumors Benign Liver Tumors Explore this section to learn more about ...

  16. Benign Multicystic Peritoneal Mesothelioma

    Science.gov (United States)

    ... Center (GARD) Print friendly version Benign multicystic peritoneal mesothelioma Table of Contents Overview Treatment Prognosis Living With ... Names for this Disease BMPM Benign cystic peritoneal mesothelioma Multilocular peritoneal inclusion cysts Multilocular peritoneal cysts About ...

  17. Mesothelioma - benign-fibrous

    Science.gov (United States)

    Mesothelioma - benign; Mesothelioma - fibrous; Pleural fibroma; Solitary fibrous tumor of the pleura ... other reasons. Other tests that may show benign mesothelioma include: CT scan of the chest Open lung ...

  18. Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals.

    Science.gov (United States)

    Chung, Dongil; Yun, Kyongsik; Jeong, Jaeseung

    2015-09-01

    Cooperation and free riding are among the most frequently observed behaviors in human social decision-making. In social interactions, the effects of strategic decision processes have been consistently reported in iterative cooperation decisions. However, the neural activity immediately after new information is presented, the time at which strategy learning potentially starts has not yet been investigated with high temporal resolution. Here, we implemented an iterative, binary public goods game that simulates cooperation/free riding behavior. We applied the multi-feature pattern analysis method by using a support vector machine and the unique combinatorial performance measure, and identified neural features from the single-trial, event-related spectral perturbation at the result-presentation of the current round that predict participants' decisions to cooperate or free ride in the subsequent round. We found that neural oscillations in centroparietal and temporal regions showed the highest predictive power through 10-fold cross-validation; these predicted the participants' next decisions, which were independent of the neural responses during their own preceding choices. We suggest that the spatial distribution and time-frequency information of the selected features represent covert motivations to free ride or cooperate in the next round and are separately processed in parallel with information regarding the preceding results. PMID:25688097

  19. Mobile EEG in epilepsy

    NARCIS (Netherlands)

    Askamp, Jessica; Putten, van M.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 t

  20. The octave approach to EEG analysis.

    Science.gov (United States)

    Stassen, H H

    1991-10-01

    A "tonal" approach to EEG spectral analysis is presented which is compatible with the concept of physical octaves, thus providing a constant resolution of partial tones over the full frequency range inherent to human brain waves, rather than for equidistant frequency steps in the spectral domain. The specific advantages of the tonal approach, however, mainly pay off in the field of EEG sleep analysis where the interesting information is predominantly located in the lower octaves. In such cases the proposed method reveals a fine structure which displays regular maxima possessing typical properties of "overtones" within the three octaves 1-2 Hz, 2-4 Hz and 4-8 Hz. Accordingly, spectral patterns derived from tonal spectral analyses are particularly suited to measure the fine gradations of mutual differences between individual EEG sleep patterns and will therefore allow a more efficient investigation of the genetically determined proportion of sleep EEGs. On the other hand, we also tested the efficiency of tonal spectral analyses on the basis of our 5-year follow-up data of 30 healthy volunteers. It turned out that 28 persons (93.3%) could be uniquely recognized after five years by means of their EEG spectral patterns. Hence, tonal spectral analysis proved to be a powerful tool also in cases where the main EEG information is typically located in the medium octave 8-16 Hz. PMID:1762585

  1. 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...... 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...

  2. Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures Valor prognóstico do EEG com padrão de surto-supressão não reativo associado a convulsões neonatais precoces

    Directory of Open Access Journals (Sweden)

    Magda Lahorgue Nunes

    2005-03-01

    Full Text Available ABSTRACT Seizures are the most frequent neurological event in newborns and clinical data suggest that etiology is the dominant factor in long term outcome. However, there are consistent background EEG abnormalities associated to neonatal seizures that are usually related to unfavorable outcome as the burst - suppression pattern. OBJECTIVE: The objective of this study was to correlate clinical and EEG features associated to long - term outcome of newborns with non - reactive burst - suppression (BS EEG. METHOD: Newborns included in the study were selected from our database and had conceptional age (at the time of first EEG >37 weeks, EEG recordings with non - reactive BS available for review and clinical follow up. RESULTS: 12 newborns met inclusion criteria, 50% had seizures in the first day of life. Seizures became refractory to treatment in all of them. In 50% the etiology of seizures was considered cryptogenic, 33% had inborn errors of metabolism and 17% had clinical history and neuroimage suggestive of hypoxic-ischemic encephalopathy. The follow-up showed that 7/12 infants deceased, 3 during the first year of life, and one in the neonatal period. All the survivors had severe developmental delay and multifocal neurological impairment. 92% developed refractory epilepsy, 58% were latter diagnosed with West syndrome. CONCLUSION: The non-reactive BS pattern may appear related to many neonatal neurological disorders and is associated with early and refractory neonatal seizures. It is clearly associated with elevated morbidity and mortality and to the development of post-neonatal epilepsy.RESUMO Convulsões representam o evento neurológico mais freqüente no período neonatal e a etiologia das crises parece ser o aspecto clínico mais associado ao prognóstico a longo prazo. Entretanto, existem padrões anormais de EEG, que de forma consistente relacionam-se a prognóstico, entre eles o padrão de surto - supressão. OBJETIVO: Este estudo teve

  3. THE USE OF SLEEP EEG IN EPILEPTIC DIAGNOSIS

    Institute of Scientific and Technical Information of China (English)

    刘秀琴; 周祥琴; 吴立文; 王平; 孙鹤阳

    1998-01-01

    Sleep and waklng EEG of 522 patients with epilepsy and various disease with attack nature were studled, EEG showed paroxysmal activities(PA) in 2]7 cases. PA appeared only during sleep in 96 cases, posirive rate of EEG diagnosis increased from 23.2 percent in waking recordings to 41.6 percent, Fifty of 97 benign childhood epilepsy with centrotemporal spike(5l.6%) had focal PA only during sleep. Two of 6 cases with Lennox-Gastaut syndrome showed tonic seizure and/or generalized paroxysmal fast activities,Seizure types of 15 patients were deigned hy interictal PA and ictal EEG during sleep. There was no corresponding relationship between seizure time(waking or sleep) and PA sensitivity to state of vigilance.

  4. How stressful are 105 days of isolation? Sleep EEG patterns and tonic cortisol in healthy volunteers simulating manned flight to Mars.

    Science.gov (United States)

    Gemignani, Angelo; Piarulli, Andrea; Menicucci, Danilo; Laurino, Marco; Rota, Giuseppina; Mastorci, Francesca; Gushin, Vadim; Shevchenko, Olga; Garbella, Erika; Pingitore, Alessandro; Sebastiani, Laura; Bergamasco, Massimo; L'Abbate, Antonio; Allegrini, Paolo; Bedini, Remo

    2014-08-01

    Spaceflights "environment" negatively affects sleep and its functions. Among the different causes promoting sleep alterations, such as circadian rhythms disruption and microgravity, stress is of great interest also for earth-based sleep medicine. This study aims to evaluate the relationships between stress related to social/environmental confinement and sleep in six healthy volunteers involved in the simulation of human flight to Mars (MARS500). Volunteers were sealed in a spaceship simulator for 105 days and studied at 5 specific time-points of the simulation period. Sleep EEG, urinary cortisol (24 h preceding sleep EEG recording) and subjectively perceived stress levels were collected. Cognitive abilities and emotional state were evaluated before and after the simulation. Sleep EEG parameters in the time (latency, duration) and frequency (power and hemispheric lateralization) domains were evaluated. Neither cognitive and emotional functions alterations nor abnormal stress levels were found. Higher cortisol levels were associated to: (i) decrease of sleep duration, increase of arousals, and shortening of REM latency; (ii) reduction of delta power and enhancement of sigma and beta in NREM N3; and (iii) left lateralization of delta activity (NREM and REM) and right lateralization of beta activity (NREM). Stressful conditions, even with cortisol fluctuations in the normal range, alter sleep structure and sleep EEG spectral content, mirroring pathological conditions such as primary insomnia or insomnia associated to depression. Correlations between cortisol fluctuations and sleep changes suggest a covert risk for developing allostatic load, and thus the need to develop ad-hoc countermeasures for preventing sleep alterations in long lasting manned space missions. PMID:24793641

  5. Use of Personal EEG Monitors in a Behavioral Neuroscience Course to Investigate Natural Setting Sleep Patterns and the Factors Affecting Them in College Students

    OpenAIRE

    Marshall, Jillian C.; Malerba, Julie R.; Schroeder, Joseph A.

    2011-01-01

    Sleep is often a topic of avid interest to college students, yet it is one that does not yield itself well to hands-on, interactive learning modules. Supplementing classroom learning with interactive “real world” laboratory activities provides students with a deeper understanding of behavior and its neural control. The project described here was designed to supplement the teaching of EEGs, sleep and circadian rhythms and involved students in the empirical process from hypothesizing about the ...

  6. Tackling creativity at its roots: Evidence for different patterns of EEG alpha activity related to convergent and divergent modes of task processing

    OpenAIRE

    Jauk, Emanuel; Benedek, Mathias; Neubauer, Aljoscha C

    2012-01-01

    The distinction between convergent and divergent cognitive processes given by Guilford (1956) had a strong influence on the empirical research on creative thinking. Neuroscientific studies typically find higher event-related synchronization in the EEG alpha rhythm for individuals engaged in creative ideation tasks compared to intelligence-related tasks. This study examined, whether these neurophysiological effects can also be found when both cognitive processing modes (convergent vs. divergen...

  7. Sleep EEG analysis

    OpenAIRE

    Vávrová, Eva

    2014-01-01

    This thesis deals with the analysis of EEG during various sleep stages, which is done by calculating the selected parameters from the time and frequency domain. These parameters are calculated from individual segments of EEG signals that correspond with various sleep stages. Based on the analysis it decides which EEG parameters are appropriate for the automatic detection of the phases and which method is more suitable for evaluation of data in hypnogram. The programme MATLAB was used for the ...

  8. The Etiology and Outcome Analysis of Neonatal Burst Suppression EEG

    Institute of Scientific and Technical Information of China (English)

    ZHANG Lian; ZHOU Yanxia; XU Sanqing

    2007-01-01

    The neonatal burst suppression is a severe EEG pattern and always demonstrates serious damage of nerve system. But the outcome of these patients depends on the different etiology. A total of 256 cases of video EEG recordings were analyzed in order to summarize the etiology and outcome of burst suppression. The results showed that some patients in all 17 cases of burst suppression showed EEG improvement. The etiology was the dominant factor in long term outcome. It was sug-gested that effective video EEG monitoring is helpful for etiologic study and prognosis evaluation.

  9. Interrater agreement for Critical Care EEG Terminology

    Science.gov (United States)

    Gaspard, Nicolas; Hirsch, Lawrence J.; LaRoche, Suzette M.; Hahn, Cecil D.; Westover, M. Brandon

    2016-01-01

    Summary Objective The interpretation of critical care electroencephalography (EEG) studies is challenging because of the presence of many periodic and rhythmic patterns of uncertain clinical significance. Defining the clinical significance of these patterns requires standardized terminology with high interrater agreement (IRA). We sought to evaluate IRA for the final, published American Clinical Neurophysiology Society (ACNS)–approved version of the critical care EEG terminology (2012 version). Our evaluation included terms not assessed previously and incorporated raters with a broad range of EEG reading experience. Methods After reviewing a set of training slides, 49 readers independently completed a Web-based test consisting of 11 identical questions for each of 37 EEG samples (407 questions). Questions assessed whether a pattern was an electrographic seizure; pattern location (main term 1), pattern type (main term 2); and presence and classification of eight other key features (“plus” modifiers, sharpness, absolute and relative amplitude, frequency, number of phases, fluctuation/evolution, and the presence of “triphasic” morphology). Results IRA statistics (κ values) were almost perfect (90–100%) for seizures, main terms 1 and 2, the +S modifier (superimposed spikes/sharp waves or sharply contoured rhythmic delta activity), sharpness, absolute amplitude, frequency, and number of phases. Agreement was substantial for the +F (superimposed fast activity) and +R (superimposed rhythmic delta activity) modifiers (66% and 67%, respectively), moderate for triphasic morphology (58%), and fair for evolution (21%). Significance IRA for most terms in the ACNS critical care EEG terminology is high. These terms are suitable for multicenter research on the clinical significance of critical care EEG patterns. PMID:24888711

  10. EEG Markers for Attention Deficit Disorder: Pharmacological and Neurofeedback Applications.

    Science.gov (United States)

    Sterman, M. Barry

    2000-01-01

    Examined contribution of EEG findings in the classification and treatment of attention deficit and related behavioral problems in children. Found that quantitative EEG methods disclosed patterns of abnormality in children with ADD, suggested improved guidelines for pharmacological treatment, and introduced neurofeedback, a behavioral treatment for…

  11. Extraoccipital benign childhood partial seizures with ictal vomiting and excellent prognosis

    OpenAIRE

    Panayiotopoulos, C.

    1999-01-01

    In a previous report of 900 patients with epileptic seizures, 24 children had ictal vomiting. Twelve had a previously unrecognised syndrome of early onset benign childhood occipital seizures (EBOS) and three had symptomatic epilepsy. The other nine children with extraoccipital EEG foci or normal EEG are described in this paper based on a prospective follow up for a median of 9 years after their first seizure. All had normal neurology, mental state, and development. All seizu...

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

    Science.gov (United States)

    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.

  13. EEG: Origin and measurement

    NARCIS (Netherlands)

    F. Lopes da Silva

    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. Exophytic benign prostatic hyperplasia.

    Science.gov (United States)

    Blaschko, Sarah D; Eisenberg, Michael L

    2011-08-01

    A 60-year-old man had incidental finding of a multilobular 8 × 7 × 7-cm mass identified posterior to the urinary bladder in continuity with the prostate. The man's prostate-specific antigen was 1.87, and he denied any lower urinary tract symptoms. A transrectal ultrasound-guided biopsy demonstrated benign prostatic tissue. A computed tomography-guided needle aspiration demonstrated a benign epithelium-lined cyst, likely prostatic in origin. Benign prostatic hyperplasia is a proliferation of prostatic epithelial and stromal cells. Although prostatic hyperplasia is usually restricted to the prostate gland, hyperplastic nodules occasionally protrude outside the prostate and rarely form exophytic pelvic masses. PMID:20869104

  15. Benign focal hepatic lesions; Benigne fokale Leberlaesionen

    Energy Technology Data Exchange (ETDEWEB)

    Baroud, S.; Bastati, N.; Prosch, H.; Ba-Ssalamah, A. [AKH, Medizinische Universitaet Wien, Universitaetsklinik fuer Radiodiagnostik, Wien (Austria); Schima, W. [Krankenhaus Goettlicher Heiland, Wien, Abteilung fuer Radiologie und Bildgebende Diagnostik, Wien (Austria)

    2011-08-15

    A profound knowledge of the various benign focal hepatic lesions and selection of the most suitable radiological examination modality is essential for achieving an accurate characterization of a hepatic lesion and in turn will determine the further patient management. This will avoid unnecessary agitation to both patient and the referring clinician and limits time-consuming, costly and risky biopsies to an absolute minimum. The following article will discuss the typical and atypical appearances of the most frequent and clinically relevant benign focal hepatic lesions with ultrasound, computed tomography and magnetic resonance imaging. (orig.) [German] Eine genaue Kenntnis des breiten Spektrums benigner fokaler Leberlaesionen und der geeigneten radiologischen Untersuchungsmethode ist essenziell, um eine sichere Diagnose bzgl. der Dignitaet und damit das weitere Vorgehen bestimmen zu koennen. Damit wird eine unnoetige Verunsicherung des Patienten und des behandelnden Arztes vermieden, und invasive, eventuell mit Komplikationen assoziierte Biopsien sowie zeit- und kostenintensive Verlaufskontrollen koennen reduziert werden. Der folgende Artikel erlaeutert die haeufigsten und klinisch wichtigsten benignen fokalen Leberlaesionen und deren typisches und atypisches Erscheinen in den 3 haeufig verwendeten bildgebenden Verfahren Sonographie, Computertomographie und Magnetresonanztomographie. (orig.)

  16. Benign positional vertigo - aftercare

    Science.gov (United States)

    Vertigo - positional - aftercare; Benign paroxysmal positional vertigo - aftercare; BPPV - aftercare ... Your doctor may have treated your vertigo with the Epley maneuver. ... ear problem that causes BPPV. It usually works quickly. For ...

  17. Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients

    Directory of Open Access Journals (Sweden)

    Duque Pablo

    2008-11-01

    Full Text Available Abstract Background A possible method of finding physiological markers of multiple sclerosis (MS is the application of EEG quantification (QEEG of brain activity when the subject is stressed by the demands of a cognitive task. In particular, modulations of the spectral content that take place in the EEG of patients with multiple sclerosis remitting-relapsing (RRMS and benign multiple sclerosis (BMS during a visuo-spatial task need to be observed. Methods The sample consisted of 19 patients with RRMS, 10 with BMS, and 21 control subjects. All patients were free of medication and had not relapsed within the last month. The power spectral density (PSD of different EEG bands was calculated by Fast-Fourier-Transformation (FFT, those analysed being delta, theta, alpha, beta and gamma. Z-transformation was performed to observe individual profiles in each experimental group for spectral modulations. Lastly, correlation analyses was performed between QEEG values and other variables from participants in the study (age, EDSS, years of evolution and cognitive performance. Results Nearly half (42% the RRMS patients showed a statistically significant increase of two or more standard deviations (SD compared to the control mean value for the beta-2 and gamma bands (F = 2.074, p = 0.004. These alterations were localized to the anterior regions of the right hemisphere, and bilaterally to the posterior areas of the scalp. None of the BMS patients or control subjects had values outside the range of ± 2 SD. There were no significant correlations between these values and the other variables analysed (age, EDSS, years of evolution or behavioural performance. Conclusion During the attentional processing, changes in the high EEG spectrum (beta-2 and gamma in MS patients exhibit physiological alterations that are not normally detected by spontaneous EEG analysis. The different spectral pattern between pathological and controls groups could represent specific changes for

  18. Behavioral and EEG Correlates of Reduced Executive Functioning in Adolescents

    OpenAIRE

    Espano, Joshua

    2013-01-01

    Exposure to orphanage care or other deprived conditions represent a contributing risk factor in the development of ADHD behaviors. Upon leaving these contexts, the resting EEG patterns found in post-institutionalized (PI) children resemble the EEG profile of children with behavior problems, such as inattention, hyperactivity, and impulsivity. Specifically, this atypical pattern consists of increased theta power relative to other power spectra and decreased alpha power. This study examined if ...

  19. 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. PMID:26036835

  20. Lamina propria of the mucosa of benign lesions of the vocal folds

    NARCIS (Netherlands)

    Dikkers, FG; Nikkels, PGJ

    1999-01-01

    Objective/Hypothesis: To demonstrate a correlation between the duration and specific pattern of trauma of benign lesions of the vocal folds and their histopathologic appearance, Benign lesions of the vocal folds have various macroscopic appearances. Investigations demonstrate characteristic histopat

  1. Sharp Slow Waves in the EEG.

    Science.gov (United States)

    Janati, A Bruce; AlGhasab, Naif Saad; Alshammari, Raed Ayed; saad AlGhassab, Abdulmohsen; Al-Aslami Yossef Fahad

    2016-06-01

    There exists a paucity of data in the EEG literature on characteristics of "atypical" interictal epileptiform discharges (IEDs), including sharp slow waves (SSWs). This article aims to address the clinical, neurophysiological, and neuropathological significance of SSW The EEGs of 920 patients at a tertiary-care facility were prospectively reviewed over a period of one year. Thirty-six patients had SSWs in their EEG. Of these, 6 patients were excluded because of inadequate clinical data. The clinical and neuroimaging data of the remaining 30 patients were then retrospectively collected and reviewed, and the findings were correlated. The data revealed that SSWs were rare and age-related EEG events occurring primarily in the first two decades of life. All patients with SSWs had documented epilepsy, presenting clinically with partial or generalized epilepsy. It is notable that one-third of the patients with SSWs had chronic or static central nervous system (CNS) pathology, particularly congenital CNS anomalies. Though more than one mechanism may be involved in the pathogenesis of SSWs, this research indicates that the most compelling theory is a deeply seated cortical generator giving rise to this EEG pattern. The presence of SSWs should alert clinicians to the presence of partial or generalized epilepsy or an underlying chronic or static CNS pathology, in particular congenital CNS anomalies, underscoring the significance of brain magnetic resonance imaging in the work-up of this population. PMID:27373055

  2. Higher-Order Spectrum in Understanding Nonlinearity in EEG Rhythms

    Directory of Open Access Journals (Sweden)

    Cauchy Pradhan

    2012-01-01

    Full Text Available The fundamental nature of the brain's electrical activities recorded as electroencephalogram (EEG remains unknown. Linear stochastic models and spectral estimates are the most common methods for the analysis of EEG because of their robustness, simplicity of interpretation, and apparent association with rhythmic behavioral patterns in nature. In this paper, we extend the use of higher-order spectrum in order to indicate the hidden characteristics of EEG signals that simply do not arise from random processes. The higher-order spectrum is an extension Fourier spectrum that uses higher moments for spectral estimates. This essentially nullifies all Gaussian random effects, therefore, can reveal non-Gaussian and nonlinear characteristics in the complex patterns of EEG time series. The paper demonstrates the distinguishing features of bispectral analysis for chaotic systems, filtered noises, and normal background EEG activity. The bispectrum analysis detects nonlinear interactions; however, it does not quantify the coupling strength. The squared bicoherence in the nonredundant region has been estimated to demonstrate nonlinear coupling. The bicoherence values are minimal for white Gaussian noises (WGNs and filtered noises. Higher bicoherence values in chaotic time series and normal background EEG activities are indicative of nonlinear coupling in these systems. The paper shows utility of bispectral methods as an analytical tool in understanding neural process underlying human EEG patterns.

  3. 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.

  4. Benign cystic peritoneal mesothelioma

    Directory of Open Access Journals (Sweden)

    Santhosh Shetty

    2014-04-01

    Full Text Available A well-defined but rare entity of Benign Cystic Peritoneal Mesothelioma (BCPM is reported. The aetiology of this neoplasm remains obscure. The presenting features make a precise preoperative diagnosis difficult but information provided by computed tomography and cytology may help. A firm diagnosis can only come from an electronic microscopy or immunohistological examination of the tumour. Diagnostic accuracy and diligent follow up are essential because, although the tumour is considered benign, it does tend towards local recurrence. [Int J Res Med Sci 2014; 2(2.000: 762-764

  5. Massage and music therapies attenuate frontal EEG asymmetry in depressed adolescents.

    Science.gov (United States)

    Jones, N A; Field, T

    1999-01-01

    EEG asymmetry, specifically greater relative right frontal activation, is associated with negative affect. Depressed adults show stable patterns of this asymmetry. The present study assessed the effects of massage therapy and music therapy on frontal EEG asymmetry in depressed adolescents. Thirty adolescents with greater relative right frontal EEG activation and symptoms of depression were given either massage therapy (n = 14) or music therapy (n = 16). EEG was recorded for three-minute periods before, during, and after therapy. Frontal EEG asymmetry was significantly attenuated during and after the massage and music sessions. PMID:10658860

  6. Demonstration of brain noise on human EEG signals in perception of bistable images

    Science.gov (United States)

    Grubov, Vadim V.; Runnova, Anastasiya E.; Kurovskaya, Maria K.; Pavlov, Alexey N.; Koronovskii, Alexey A.; Hramov, Alexander E.

    2016-03-01

    In this report we studied human brain activity in the case of bistable visual perception. We proposed a new approach for quantitative characterization of this activity based on analysis of EEG oscillatory patterns and evoked potentials. Accordingly to theoretical background, obtained experimental EEG data and results of its analysis we studied a characteristics of brain activity during decision-making. Also we have shown that decisionmaking process has the special patterns on the EEG data.

  7. Association of Electroencephalography (EEG) Power Spectra with Corneal Nerve Fiber Injury in Retinoblastoma Patients.

    Science.gov (United States)

    Liu, Jianliang; Sun, Juanjuan; Diao, Yumei; Deng, Aijun

    2016-01-01

    BACKGROUND In our clinical experience we discovered that EEG band power may be correlated with corneal nerve injury in retinoblastoma patients. This study aimed to investigate biomarkers obtained from electroencephalography (EEG) recordings to reflect corneal nerve injury in retinoblastoma patients. MATERIAL AND METHODS Our study included 20 retinoblastoma patients treated at the Department of Ophthalmology, Affiliated Hospital of Weifang Medical University between 2010 and 2014. Twenty normal individuals were included in the control group. EEG activity was recorded continuously with 32 electrodes using standard EEG electrode placement for detecting EEG power. A cornea confocal microscope was used to examine corneal nerve injury in retinoblastoma patients and normal individuals. Spearman rank correlation analysis was used to analyze the correlation between corneal nerve injury and EEG power changes. The sensitivity and specificity of changed EEG power in diagnosis of corneal nerve injury were also analyzed. RESULTS The predominantly slow EEG oscillations changed gradually into faster waves in retinoblastoma patients. The EEG pattern in retinoblastoma patients was characterized by a distinct increase of delta (PEEG spectra power and negatively correlated with theta EEG spectra power. The diagnostic sensitivity and specificity by compounding in the series were 60% and 67%, respectively. CONCLUSIONS Changes in delta and theta of EEG appear to be associated with occurrence of corneal nerve injury. Useful information can be provided for evaluating corneal nerve damage in retinoblastoma patients through analyzing EEG power bands. PMID:27592207

  8. Benign Fibrous Histiocytoma

    Directory of Open Access Journals (Sweden)

    Pushpa Varma

    2014-01-01

    Full Text Available Fibrous histiocytomas (FHs are mesenchymal tumors that may be benign or malignant. Ocular involvement by FHs is infrequent and primarily limited to the orbit. Rarely, FHs can also involve the conjunctiva and perilimbal area. We report the case of a 38-year-old male with lid, conjunctival, and neck FHs. The diagnosis was confirmed by histopathology.

  9. Benign gastric filling defect

    International Nuclear Information System (INIS)

    The gastric lesion is a common source of complaints to Orientals, however, evaluation of gastric symptoms and laboratory examination offer little specific aid in the diagnosis of gastric diseases. Thus roentgenography of gastrointestinal tract is one of the most reliable method for detail diagnosis. On double contract study of stomach, gastric filling defect is mostly caused by malignant gastric cancer, however, other benign lesions can cause similar pictures which can be successfully treated by surgery. 66 cases of benign causes of gastric filling defect were analyzed at this point of view, which was verified pathologically by endoscope or surgery during recent 7 years in Yensei University College of Medicine, Severance Hospital. The characteristic radiological picture of each disease was discussed for precise radiologic diagnosis. 1. Of total 66 cases, there were 52 cases of benign gastric tumor 10 cases of gastric varices, 5 cases of gastric bezoar, 5 cases of corrosive gastritis, 3 cases of granulomatous disease and one case of gastric hematoma. 2. The most frequent causes of benign tumors were adenomatous polyp (35/42) and the next was leiomyoma (4/42). Others were one of case of carcinoid, neurofibroma and cyst. 3. Characteristic of benign adenomatous polyp were relatively small in size, smooth surface and were observed that large size, benign polyp was frequently type IV lesion with a stalk. 4. Submucosal tumors such as leiomyoma needed differential diagnosis with polypoid malignant cancer. However, the characteristic points of differentiation was well circumscribed smooth margined filling defect without definite mucosal destruction on surface. 5. Gastric varices showed multiple lobulated filling defected especially on gastric fundus that changed its size and shape by respiration and posture of patients. Same varices lesions on esophagus and history of liver disease were helpful for easier diagnosis. 6. Gastric bezoar showed well defined movable mass

  10. Benign fracture versus malignant vertebral body infiltration

    International Nuclear Information System (INIS)

    MR imaging capabilities in differentiating marrow signal alterations seen in benign vertebral body compression fractures from those of malignant vertebral infiltration were assessed. Thirty-six patients, including 15 with posttraumatic vertebral compression fractures of known age, and 21 with malignant bone lesions, were imaged with MR. MR spine imaging (1.5 T) was performed with routine spin-echo sequences as well as inversion recovery (STIR), gradient-echo scans (GRASS), and chemical shift images (selective saturation technique) to obtain fat and water scans. Fat/water images enhanced differentiation between benign and malignant signal alterations. In general, patients with malignancy showed abnormal diffuse low signal intensity on fat images and corresponding increased signal on water images. Benign compression fractures showed variable patterns of signal alteration on fat/water images depending on fracture age. Old fractures showed persistent fat signal. Only very acute traumatic fractures showed increased signal on water images

  11. Efficiency analysis of voluntary control of human's EEG spectral characteristics.

    Science.gov (United States)

    Kiroy, Valery N; Aslanyan, Elena V; Lazurenko, Dmitry M; Minyaeva, Nadezhda R; Bakhtin, Oleg M

    2016-03-01

    Spectral power (SP) of EEG alpha and beta-2 frequencies in different cortical areas has been used for neurofeedback training to control a graphic interface in different scenarios. The results show that frequency range and brain cortical areas are associated with high or low efficiency of voluntary control. Overall, EEG phenomena observed in the course of training are largely general changes involving extensive brain areas and frequency bands. Finally, we have demonstrated EEG patterns that dynamically switch with a specific feature in different tasks within one training, after a relatively short period of training. PMID:26912214

  12. The effects of centrally acting drugs on the EEG correlates of meditation.

    Science.gov (United States)

    Sim, M K; Tsoi, W F

    1992-09-01

    The present study investigated the effects of three centrally acting drugs on the significant increase in the intermediate alpha frequency of the electroencephalogram (EEG) that accompanied meditation in a male volunteer. When compared to the EEG recorded before each of the three drugs was administered, naloxone tended to enhance the increase in the power of the intermediate alpha EEG (9.4-10.4 Hz), while diazepam tended to spread the increase to the slow (7.4-9.4 Hz) alpha EEG, and flumazenil was without much effect on the overall EEG pattern. However, these EEG changes when compared to similar changes obtained with saline administration were not significantly different from the latter. Thus, it is unlikely that the EEG correlates of meditation are causally related to the rise or fall of endogenous opioid peptides or benzodiazepinelike substances in the brain. PMID:1515478

  13. Hypoglycemia-Associated EEG Changes in Prepubertal Children With Type 1 Diabetes

    DEFF Research Database (Denmark)

    Lærkholm Hansen, Grith; Jennes Foli-Andersen, Pia; Fredheim, Siri;

    2016-01-01

    BACKGROUND: The purpose of this study was to explore the possible difference in the electroencephalogram (EEG) pattern between euglycemia and hypoglycemia in children with type 1 diabetes (T1D) during daytime and during sleep. The aim is to develop a hypoglycemia alarm based on continuous EEG...... measurement and real-time signal processing. METHOD: Eight T1D patients aged 6-12 years were included. A hyperinsulinemic hypoglycemic clamp was performed to induce hypoglycemia both during daytime and during sleep. Continuous EEG monitoring was performed. For each patient, quantitative EEG (qEEG) measures...... were calculated. A within-patient analysis was conducted comparing hypoglycemia versus euglycemia changes in the qEEG. The nonparametric Wilcoxon signed rank test was performed. A real-time analyzing algorithm developed for adults was applied. RESULTS: The qEEG showed significant differences...

  14. Computer-aided diagnosis of alcoholism-related EEG signals.

    Science.gov (United States)

    Acharya, U Rajendra; S, Vidya; Bhat, Shreya; Adeli, Hojjat; Adeli, Amir

    2014-12-01

    Alcoholism is a severe disorder that affects the functionality of neurons in the central nervous system (CNS) and alters the behavior of the affected person. Electroencephalogram (EEG) signals can be used as a diagnostic tool in the evaluation of subjects with alcoholism. The neurophysiological interpretation of EEG signals in persons with alcoholism (PWA) is based on observation and interpretation of the frequency and power in their EEGs compared to EEG signals from persons without alcoholism. This paper presents a review of the known features of EEGs obtained from PWA and proposes that the impact of alcoholism on the brain can be determined by computer-aided analysis of EEGs through extracting the minute variations in the EEG signals that can differentiate the EEGs of PWA from those of nonaffected persons. The authors advance the idea of automated computer-aided diagnosis (CAD) of alcoholism by employing the EEG signals. This is achieved through judicious combination of signal processing techniques such as wavelet, nonlinear dynamics, and chaos theory and pattern recognition and classification techniques. A CAD system is cost-effective and efficient and can be used as a decision support system by physicians in the diagnosis and treatment of alcoholism especially those who do not specialize in alcoholism or neurophysiology. It can also be of great value to rehabilitation centers to assess PWA over time and to monitor the impact of treatment aimed at minimizing or reversing the effects of the disease on the brain. A CAD system can be used to determine the extent of alcoholism-related changes in EEG signals (low, medium, high) and the effectiveness of therapeutic plans. PMID:25461226

  15. Benign metastasizing leiomyoma

    Directory of Open Access Journals (Sweden)

    Fatima Saira

    2010-10-01

    Full Text Available Benign metastasizing leiomyoma (BML is a rare condition, affecting predominantly reproductive-age females with uterine leiomyomata and is most often associated with multiple benign-appearing smooth muscle tumors in lungs. We report herein a case of a 38-year-old woman who presented with multiple uterine fibroids for which hysterectomy was carried out on her. Postoperatively, she developed left-sided pleural effusion. Computed chest tomography (CT scan revealed multiple nodules in both lungs and pleurae. Histopathology of one of the pleura-based nodules revealed a neoplasm composed of interlacing fascicles of spindle cells with uniform nuclei. The tumor cells were positive for alpha-smooth muscle actin and negative for CD34 immunohistochemical stain.

  16. Benign metastasizing leiomyoma.

    Science.gov (United States)

    Fatima, Saira; Ahmed, Zubair; Azam, Mohammad

    2010-01-01

    Benign metastasizing leiomyoma (BML) is a rare condition, affecting predominantly reproductive-age females with uterine leiomyomata and is most often associated with multiple benign-appearing smooth muscle tumors in lungs. We report herein a case of a 38-year-old woman who presented with multiple uterine fibroids for which hysterectomy was carried out on her. Postoperatively, she developed left-sided pleural effusion. Computed chest tomography (CT) scan revealed multiple nodules in both lungs and pleurae. Histopathology of one of the pleura-based nodules revealed a neoplasm composed of interlacing fascicles of spindle cells with uniform nuclei. The tumor cells were positive for alpha-smooth muscle actin and negative for CD34 immunohistochemical stain. PMID:21045423

  17. Infantile benign subdural effusion

    International Nuclear Information System (INIS)

    Twenty cases of infants with low density area over the frontal lobes on CT scans mimicking cortical atrophy were reported. Almost all cases showed increased intracranial pressure of slight degree associated with delayed milestones. Marginal low density over the frontal lobes disappeared and the infants developed almost normally without operations in many cases. The lesion might be called ''Infantile benign subdural effusion'' and should be treated conservatively. (author)

  18. Benign pneumatosis in children

    Energy Technology Data Exchange (ETDEWEB)

    Fenton, L.Z.; Buonomo, C. [Department of Radiology, Children' s Hospital, Boston, MA (United States)

    2000-11-01

    Background. In pediatrics, pneumatosis intestinalis (PI) is usually due to necrotizing enterocolitis in premature newborns. Beyond infancy, PI is uncommon. ''Benign pneumatosis'' is PI in patients with few or no symptoms that resolves with conservative management. Objective. Our goal was to better characterize benign PI in children. Our investigation focused on identifying underlying risk factors, symptoms at time of diagnosis, management and outcome. Materials and methods. Available medical records and radiographs of children with pneumatosis intestinalis from 1990 to 1998 were reviewed for underlying conditions, symptoms at time of radiographs, management and outcome. Results. Thirty-seven children (mean age 4 years) were included. Thirty-two children had identifiable risk factors. Twenty -five children were immunocompromised by their underlying conditions or therapeutic regimen. Thirty-five children were managed conservatively with resolution of PI. Two patients, however, required surgery and one patient died. Conclusion. Benign pneumatosis does occur in children. The majority have underlying risk factors, most commonly related to immunosuppression. Clinical deterioration is the most useful indicator for surgical intervention. In most patients PI resolves with conservative management. (orig.)

  19. [Computerized EEG and personality].

    Science.gov (United States)

    Ramírez Pérez, A; Martínez López-Coterilla, M; Fajardo López, A; Lardelli Claret, A

    1989-01-01

    The ordinary EEG, on only showing qualitative malfunction of abnormal graphoelements in the tracings, proves itself insufficient to go into the analysis of psychological and psycho-pathological problems. Since computerised studies of EEG permit quantitative comparisons, we tried to apply them in correlation with the characteristics of the personality classified also with quantitative criteria, such as those offered in the personality inventory 16 PF; from which have been chosen the so-called factors of the second order, and the subjectivity-objectivity factors. The test was carried out on 100 voluntary subjects from Almeria (Spain), all with High School grades, between 18 and 40 years of age, of both sexes, all right-handed, without neuro-psychiatric history, and with normal ordinary EEGs. From the statistical analysis of the results one could deduce that there are significant specific relationships from the computerised EEG, with those secondary polar values of 16 PF: high and low anxiety, extroversion-introversion. Subjects with low anxiety presented a significant increase of the alpha band opposed to the subjects with high anxiety. There is a significant differences in power of the frontal areas between extrovert and introvert subjects. The extroverted subjects have a greater power of the right side and the introverted subjects a greater power of the left. PMID:2698596

  20. Measurement and modification of the EEG and related behavior

    Science.gov (United States)

    Sterman, M. B.

    1991-01-01

    Electrophysiological changes in the sensorimotor pathways were found to accompany the effect of rhythmic EEG patterns in the sensorimotor cortex. Additionally, several striking behavioral changes were seen, including in particular an enhancement of sleep and an elevation of seizure threshold to epileptogenic agents. This raised the possibility that human seizure disorders might be influenced therapeutically by similar training. Our objective in human EEG feedback training became not only the facilitation of normal rhythmic patterns, but also the suppression of abnormal activity, thus requiring complex contingencies directed to the normalization of the sensorimotor EEG. To achieve this, a multicomponent frequency analysis was developed to extract and separate normal and abnormal elements of the EEG signal. Each of these elements was transduced to a specific component of a visual display system, and these were combined through logic circuits to present the subject with a symbolic display. Variable criteria provided for the gradual shaping of EEG elements towards the desired normal pattern. Some 50-70% of patients with poorly controlled seizure disorders experienced therapeutic benefits from this approach in our laboratory, and subsequently in many others. A more recent application of this approach to the modification of human brain function in our lab has been directed to the dichotomous problems of task overload and underload in the contemporary aviation environment. At least 70% of all aviation accidents have been attributed to the impact of these kinds of problems on crew performance. The use of EEG in this context has required many technical innovations and the application of the latest advances in EEG signal analysis. Our first goal has been the identification of relevant EEG characteristics. Additionally, we have developed a portable recording and analysis system for application in this context. Findings from laboratory and in-flight studies suggest that we

  1. Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)

    OpenAIRE

    Akano, Adekemi J.; Haley, David W.; Dudek, Joanna

    2011-01-01

    Dense array electroencephalography (dEEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology1,2, is being used increasingly in the study of social cognitive functioning in infants and adults. While dEEG is enabling researchers to examine brain activity patterns with unprecedented levels of sensitivity, conventional EEG recording systems continue to face certain limitations, including 1) poor sp...

  2. Repetitive EEG recordings are necessary for the diagnosis of early myoclonic encephalopathy

    Directory of Open Access Journals (Sweden)

    Ozyurek Hamit

    2005-01-01

    Full Text Available Early myoclonic encephalopathy (EME is a rare malignant epileptic syndrome. The erratic myoclonus with or without focal motor seizures, time of onset before 3 months of age, and suppression-burst (SB pattern in EEG are accepted as the diagnostic criteria for EME. We report a 40-day-old infant with the diagnosis of non-ketotic hyperglycinemia (NKHG. The infant developed myoclonic and focal tonic seizures on the first day of life. His first sleep EEG recorded after onset of seizure was normal. Because of the diagnosis of NKHG and early developed myoclonic seizure, we thought the infant might be EME, and repeated sleep EEG on admission in which asymmetrical SB pattern was seen. We concluded that the absence of SB pattern in the first EEG recording does not exclude the diagnosis of EME, but repetition of EEG is necessary to demonstrate the presence of SB pattern to meet the diagnostic criteria for EME.

  3. Radiotherapy of benign diseases

    International Nuclear Information System (INIS)

    Still today radiotherapy is of decisive relevance for several benign diseases. The following ones are briefly described in this introductory article: 1. Certain inflammatory and degenerative diseases as furuncles in the face, acute thrombophlebitis, recurrent sudoriparous abscesses, degenerative skeletal diseases, cervical syndrome and others; 2. rheumatic joint diseases; 3. Bechterew's disease; 4. primary presenile osteoporosis; 5. synringomyelia; 6. endocrine ophthalmopathy; 7. hypertrophic processes of the connective tissue; 8. hemangiomas. A detailed discussion and a profit-risk analysis is provided in the individual chapters of the magazine. (MG)

  4. Skeletal scintigraphy in benign and malignant disease

    International Nuclear Information System (INIS)

    This paper begins with a discussion of the technical factors in skeletal scintigraphy, including collimation, the use of three-phase bone scan, and single-photon emission computed tomography. Skeletal scintigraphy for benign conditions is commonly indicated for the patient presenting with pain (trauma, sports-related injury, posttraumatic pain syndrome, painful orthopedic prosthesis) and for the patient with abnormal laboratory test results (metabolic bone disease, Paget disease). For malignant conditions, the bone scan is useful in the evaluation of metastases in patients with extraosseous malignancies and primary bone tumors. The discussion addresses the various scan patterns seen in the more common tumors, such as prostate carcinoma, breast carcinoma, and lung carcinoma. Bone scintigraphy is an exquisitely sensitive modality. With some understanding of the techniques necessary for obtaining the optimal bone scan, and of the patterns that can be seen in various clinical conditions, the radiologist will find the bone scan a very specific tool for evaluating both benign and malignant diseases

  5. 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; Andre A Fenton; 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. ...

  6. What can be found in scalp EEG spectrum beyond common frequency bands. EEG–fMRI study

    Science.gov (United States)

    Marecek, R.; Lamos, M.; Mikl, M.; Barton, M.; Fajkus, J.; I, Rektor; Brazdil, M.

    2016-08-01

    Objective. The scalp EEG spectrum is a frequently used marker of neural activity. Commonly, the preprocessing of EEG utilizes constraints, e.g. dealing with a predefined subset of electrodes or a predefined frequency band of interest. Such treatment of the EEG spectrum neglects the fact that particular neural processes may be reflected in several frequency bands and/or several electrodes concurrently, and can overlook the complexity of the structure of the EEG spectrum. Approach. We showed that the EEG spectrum structure can be described by parallel factor analysis (PARAFAC), a method which blindly uncovers the spatial–temporal–spectral patterns of EEG. We used an algorithm based on variational Bayesian statistics to reveal nine patterns from the EEG of 38 healthy subjects, acquired during a semantic decision task. The patterns reflected neural activity synchronized across theta, alpha, beta and gamma bands and spread over many electrodes, as well as various EEG artifacts. Main results. Specifically, one of the patterns showed significant correlation with the stimuli timing. The correlation was higher when compared to commonly used models of neural activity (power fluctuations in distinct frequency band averaged across a subset of electrodes) and we found significantly correlated hemodynamic fluctuations in simultaneously acquired fMRI data in regions known to be involved in speech processing. Further, we show that the pattern also occurs in EEG data which were acquired outside the MR machine. Two other patterns reflected brain rhythms linked to the attentional and basal ganglia large scale networks. The other patterns were related to various EEG artifacts. Significance. These results show that PARAFAC blindly identifies neural activity in the EEG spectrum and that it naturally handles the correlations among frequency bands and electrodes. We conclude that PARAFAC seems to be a powerful tool for analysis of the EEG spectrum and might bring novel insight to the

  7. Automatic burst detection for the EEG of the preterm infant

    International Nuclear Information System (INIS)

    To aid with prognosis and stratification of clinical treatment for preterm infants, a method for automated detection of bursts, interburst-intervals (IBIs) and continuous patterns in the electroencephalogram (EEG) is developed. Results are evaluated for preterm infants with normal neurological follow-up at 2 years. The detection algorithm (MATLAB®) for burst, IBI and continuous pattern is based on selection by amplitude, time span, number of channels and numbers of active electrodes. Annotations of two neurophysiologists were used to determine threshold values. The training set consisted of EEG recordings of four preterm infants with postmenstrual age (PMA, gestational age + postnatal age) of 29–34 weeks. Optimal threshold values were based on overall highest sensitivity. For evaluation, both observers verified detections in an independent dataset of four EEG recordings with comparable PMA. Algorithm performance was assessed by calculation of sensitivity and positive predictive value. The results of algorithm evaluation are as follows: sensitivity values of 90% ± 6%, 80% ± 9% and 97% ± 5% for burst, IBI and continuous patterns, respectively. Corresponding positive predictive values were 88% ± 8%, 96% ± 3% and 85% ± 15%, respectively. In conclusion, the algorithm showed high sensitivity and positive predictive values for bursts, IBIs and continuous patterns in preterm EEG. Computer-assisted analysis of EEG may allow objective and reproducible analysis for clinical treatment

  8. 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.

  9. STUDY OF INTERICTAL E.E.G IN EPILEPSY

    Directory of Open Access Journals (Sweden)

    Usha Rani

    2013-04-01

    Full Text Available ABSTRACT: The present study includes hundred consecutive patie nts with a clinical diagnosis of Epilepsy attending the department of Neurology. All these patients were evaluated clinically and data recorded in proforma. Electroencephalogram ( E.E.G was recorded with 16-channel Electroencephalograph and the standards of normality are established. The Aim of this study is to study the pattern of abnormalities in interictal EEG in Epilepsy. The Objectives of this study are 1. To confirm the diagnosis of epilepsy. 2. To s tudy the EEG abnormalities in relation to different types of epilepsy. 3. To know the distributi on of epilepsy in relation to age and sex. 4. To study the effect of antiepileptic drugs on EEG. 5 . To study the effect of hyperventilation on EEG. 6. To study the effect of photic stimulation on EEG. 7. To study the effect of interval between last seizure and EEG recording on EEG abnor malities. Epilepsy is a very common neurological illness accounting for 10% of patients attending the Neurology Outpatient department. It most commonly affects people in the fir st 3 decades of life. Males seem to be slightly more frequently affected. The diagnosis of epilepsy is most often on clinical grounds; EEG is helpful in supporting the diagnosis of epilepsy in difficult situation and classification of the seizures. Single awake interictal recording is helpful only in approximately 40% of the patients. Provocative procedures like hyperventilation and photic stimulation increase the diagnostic yield, particularly primarily generalized epilepsies. Sleep records to be more informative should be recorded in light sleep. Gener alized seizures either primary or secondary seem to be the commonest type. In patients with a cl inical diagnosis of generalized seizures, EEG may demonstrate focal abnormalities revealing t he true nature of the seizure. Partial seizures may not reveal focal onset in the EEG maki ng classification of the seizures interacts (on

  10. 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....

  11. EEG manifestations of nondual experiences in meditators.

    Science.gov (United States)

    Berman, Amanda E; Stevens, Larry

    2015-01-01

    The holistic experiential benefits of meditation among a widely ranging population have been well established within the empirical literature. What remain less clear are the underlying mechanisms of the meditative process. A large impediment to this clarity is attributable to the lack of a unified and comprehensive taxonomy, as well as to the absence of clear differentiation within the literature between method of practice and resulting state. The present study discusses and then attempts to identify within our sample a theoretically universal culminating meditative state known as Nondual Awareness, which is differentiated from the method or practice state. Participants completed an in-lab meditation, during which neurological patterns were analyzed using electroencephalography (EEG). Analyses indicated significantly higher EEG power among slower wave frequencies (delta, theta, alpha) during the reported nondual events. These events appear neurologically distinct from meditation sessions as a whole, which interestingly demonstrated significant elevation within the gamma range. PMID:25460236

  12. EEG aspects of mentally playing an instrument.

    Science.gov (United States)

    Petsche, H; von Stein, A; Filz, O

    1996-03-01

    This pilot study examines the possibility to detect activities of SMA by means of EEG coherence analysis in a female professional violoncellist. The proband was asked, for 5 min each, to listen to a piece of music (she knew by heart), to imagine playing this piece and to imagine playing scales. The experiment was repeated after 5 days. Consistent significant coherence changes with respect to the averaged EEG at rest were plotted as probability maps. For each of these three tasks different coherence patterns emerged. Among the electrodes next to SMA, Fz was most involved while playing scales, less while imagining playing the same piece and still less while just listening to it. PMID:8713552

  13. Functional Brain Imaging by EEG: A Window to the Human Mind

    DEFF Research Database (Denmark)

    Stahlhut, Carsten

    This thesis presents electroencephalography (EEG) brain imaging by covering topics as empirical evaluation of source confusion, probabilistic inverse methods, and source analysis performed on infant EEG data. In terms of source confusion we inspect how current sources within the brain may be...... confused with each other as noise is present in the EEG recordings. Moreover, we examine how errors in the forward model affect the source confusion. The primary aim of this thesis is to provide sharper EEG brain images by improving current inverse methods. In this relation we focus the attention on two...... topics in EEG source reconstruction, namely, the forward progation model (describing the mapping from the current sources within the brain to the sensors at the scalp) and the temporal patterns present in the EEG. As forward models may suffer from a number of errors including the geometrical...

  14. Sleep EEG Fingerprints Reveal Accelerated Thalamocortical Oscillatory Dynamics in Williams Syndrome

    Science.gov (United States)

    Bodizs, Robert; Gombos, Ferenc; Kovacs, Ilona

    2012-01-01

    Sleep EEG alterations are emerging features of several developmental disabilities, but detailed quantitative EEG data on the sleep phenotype of patients with Williams syndrome (WS, 7q11.23 microdeletion) is still lacking. Based on laboratory (Study I) and home sleep records (Study II) here we report WS-related features of the patterns of…

  15. Maturation of EEG Power Spectra in Early Adolescence: A Longitudinal Study

    Science.gov (United States)

    Cragg, Lucy; Kovacevic, Natasa; McIntosh, Anthony Randal; Poulsen, Catherine; Martinu, Kristina; Leonard, Gabriel; Paus, Tomas

    2011-01-01

    This study investigated the fine-grained development of the EEG power spectra in early adolescence, and the extent to which it is reflected in changes in peak frequency. It also sought to determine whether sex differences in the EEG power spectra reflect differential patterns of maturation. A group of 56 adolescents were tested at age 10 years and…

  16. Effects of magnesium sulphate on amplitude-integrated continuous EEG in asphyxiated term neonates

    NARCIS (Netherlands)

    Groenendaal, F; Rademaker, CMA; Toet, MC; de Vries, LS

    2002-01-01

    In this study it is hypothesized that magnesium sulphate in asphyxiated full-term neonates could lead to a gradual improvement in background pattern of the amplitude integrated EEG (aEEG), an early marker of hypoxic-ischaemic brain injury. In a double-blind, randomized, controlled pilot study of 22

  17. EEG Recording and Analysis for Sleep Research

    OpenAIRE

    Campbell, Ian G.

    2009-01-01

    The electroencephalogram (EEG) is the most common tool used in sleep research. This unit describes the methods for recording and analyzing the EEG. Detailed protocols describe recorder calibration, electrode application, EEG recording, and computer EEG analysis with power spectral analysis. Computer digitization of an analog EEG signal is discussed, along with EEG filtering and the parameters of fast Fourier transform (FFT) power spectral analysis. Sample data are provided for a typical night...

  18. Diagnostic accuracy of microEEG: a miniature, wireless EEG device.

    Science.gov (United States)

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

    2014-05-01

    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). Two hundred twenty-five ED patients with AMS underwent 3 EEGs. Two EEGs, EEG1 (Nicolet Monitor, "reference") and EEG2 (microEEG) were recorded simultaneously with EEG cup electrodes using a signal splitter. The remaining study, EEG3, was recorded with microEEG using an electrode cap immediately before or after EEG1/EEG2. The official EEG1 interpretation was considered the gold standard (EEG1-GS). EEG1, 2, and 3 were de-identified and blindly interpreted by two independent readers. A generalized mixed linear model was used to estimate the sensitivity and specificity of these interpretations relative to EEG1-GS and to compute a diagnostic odds ratio (DOR). Seventy-nine percent of EEG1-GS were abnormal. Neither the DOR nor the κf representing interrater reliabilities differed significantly between EEG1, EEG2, and EEG3. The mean setup time was 27 min for EEG1/EEG2 and 12 min for EEG3. The mean electrode impedance of EEG3 recordings was 12.6 kΩ (SD: 31.9 kΩ). The diagnostic accuracy of microEEG was comparable to that of the reference system and was not reduced when the EEG electrodes had high and unbalanced impedances. A common practice with many scientific instruments, measurement of EEG device DA provides an independent and quantitative assessment of device performance. PMID:24727466

  19. Generalized Information Equilibrium Approaches to EEG Sleep Stage Discrimination

    Science.gov (United States)

    Smith, Jason

    2016-01-01

    Recent advances in neuroscience have raised the hypothesis that the underlying pattern of neuronal activation which results in electroencephalography (EEG) signals is via power-law distributed neuronal avalanches, while EEG signals are nonstationary. Therefore, spectral analysis of EEG may miss many properties inherent in such signals. A complete understanding of such dynamical systems requires knowledge of the underlying nonequilibrium thermodynamics. In recent work by Fielitz and Borchardt (2011, 2014), the concept of information equilibrium (IE) in information transfer processes has successfully characterized many different systems far from thermodynamic equilibrium. We utilized a publicly available database of polysomnogram EEG data from fourteen subjects with eight different one-minute tracings of sleep stage 2 and waking and an overlapping set of eleven subjects with eight different one-minute tracings of sleep stage 3. We applied principles of IE to model EEG as a system that transfers (equilibrates) information from the time domain to scalp-recorded voltages. We find that waking consciousness is readily distinguished from sleep stages 2 and 3 by several differences in mean information transfer constants. Principles of IE applied to EEG may therefore prove to be useful in the study of changes in brain function more generally. PMID:27516806

  20. Predicting EEG complexity from sleep macro and microstructure

    International Nuclear Information System (INIS)

    This work investigates the relation between the complexity of electroencephalography (EEG) signal, as measured by fractal dimension (FD), and normal sleep structure in terms of its macrostructure and microstructure. Sleep features are defined, encoding sleep stage and cyclic alternating pattern (CAP) related information, both in short and long term. The relevance of each sleep feature to the EEG FD is investigated, and the most informative ones are depicted. In order to quantitatively assess the relation between sleep characteristics and EEG dynamics, a modeling approach is proposed which employs subsets of the sleep macrostructure and microstructure features as input variables and predicts EEG FD based on these features of sleep micro/macrostructure. Different sleep feature sets are investigated along with linear and nonlinear models. Findings suggest that the EEG FD time series is best predicted by a nonlinear support vector machine (SVM) model, employing both sleep stage/transitions and CAP features at different time scales depending on the EEG activation subtype. This combination of features suggests that short-term and long-term history of macro and micro sleep events interact in a complex manner toward generating the dynamics of sleep

  1. Prognostic parameters in benign astrocytomas

    DEFF Research Database (Denmark)

    Westergaard, L; Gjerris, F; Klinken, L

    1993-01-01

    To elucidate the prognosis of different types of benign astrocytomas and to ascertain whether patients with partially resected benign astrocytomas, or any subtype of these, would benefit from postoperative radiotherapy, we studied retrospectively material comprising 300 patients with benign...... astrocytomas treated in the period 1956 to 1991. The pilocytic type of astrocytoma was found to have an outstandingly good prognosis and should be regarded as a distinct nosological entity. For the non-pilocytic supratentorial astrocytomas, a multivariate regression analysis showed that age, tumour site...... time of patients with non-pilocytic supratentorial benign astrocytomas. The study emphasizes the necessity of a prospective combined multicenter analysis of the effect of radiation on benign astrocytomas....

  2. Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy

    Science.gov (United States)

    Müller-Putz, G. R.; Daly, I.; Kaiser, V.

    2014-06-01

    Objective. Assimilating the diagnosis complete spinal cord injury (SCI) takes time and is not easy, as patients know that there is no ‘cure' at the present time. Brain-computer interfaces (BCIs) can facilitate daily living. However, inter-subject variability demands measurements with potential user groups and an understanding of how they differ to healthy users BCIs are more commonly tested with. Thus, a three-class motor imagery (MI) screening (left hand, right hand, feet) was performed with a group of 10 able-bodied and 16 complete spinal-cord-injured people (paraplegics, tetraplegics) with the objective of determining what differences were present between the user groups and how they would impact upon the ability of these user groups to interact with a BCI. Approach. Electrophysiological differences between patient groups and healthy users are measured in terms of sensorimotor rhythm deflections from baseline during MI, electroencephalogram microstate scalp maps and strengths of inter-channel phase synchronization. Additionally, using a common spatial pattern algorithm and a linear discriminant analysis classifier, the classification accuracy was calculated and compared between groups. Main results. It is seen that both patient groups (tetraplegic and paraplegic) have some significant differences in event-related desynchronization strengths, exhibit significant increases in synchronization and reach significantly lower accuracies (mean (M) = 66.1%) than the group of healthy subjects (M = 85.1%). Significance. The results demonstrate significant differences in electrophysiological correlates of motor control between healthy individuals and those individuals who stand to benefit most from BCI technology (individuals with SCI). They highlight the difficulty in directly translating results from healthy subjects to participants with SCI and the challenges that, therefore, arise in providing BCIs to such individuals.

  3. [Benign endobronchial tumors].

    Science.gov (United States)

    Nikhtianov, Kh

    1980-01-01

    Endobronchial localizations of benign neoplasms are met with in 24.5 per cent of the cases. Right lung localizations are more frequent. More than half of them are broadly based (57.5 per cent). In most of the cases it is a matter of nonepithelial tumours of which a greater intensity is displayed by hamartomas /7/, vascular /4/ and neurogenic /3/ neoformations. The size of endobronchial tumours varies from 1 to 10 cm. Cases measuring 1-3 cm are the most numerous. Those of the "iceberg" type appear to be larger. The size per se has a relative importance for the clinical picture. Endobronchial tumours exhibit a clear cut clinical picture, and run a clinical course in three stages, determined by the degree of bronchial obturation and longstanding of the condition. The most common symptoms are coughing /80.7 per cent/, expectoration /50.0 per cent/, rales /57.6 per cent/, dullness /38.4 per cent/ and lacking respiration /38.4 per cent/. The nosological entity by itself is less conclusive for the clinical course. The X-ray data have orientation and by no means decisive significance for the diagnosis. The "crab pincers" sign in the bronchial lumen during bronchography has a definite importance. Bronchoscopy in conjunction with biopsy is a dependable method of preoperative diagnosing. It contributes greatly to the nosological diagnosis. Even nowadays, the diagnosis of endobronchial tumours is difficult. A rather exact diagnosis can be made intraoperatively, whereas the most accurate diagnosis is established only after histological study. The treatment of endobronchial benign neoplasms is operative. The number of medium /lobectomies/ and extensive /pulmonectomies/ pulmonary resections is considerable. In case of early diagnosis and intervention, sparing resection is the naturally indicated size of operation - mainly resection and plasty of the bronchi without lobectomy. The advantages of circular resection are substantial. Reconstructive operations of "clarinet" and

  4. Dry EEG Electrodes

    Directory of Open Access Journals (Sweden)

    M. A. Lopez-Gordo

    2014-07-01

    Full Text Available 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.

  5. INTELLIGENT EEG ANALYSIS

    Directory of Open Access Journals (Sweden)

    M. Murugesan

    2011-04-01

    Full Text Available Brain is the wonderful organ of human body. It is the agent of information collection and transformation. The neural activity of the human brain starts between the 17th and 23rd week of prenatal development. It is believed that from this early stage and throughout life electrical signals are generated by the brain function but also the status of the whole body. Understanding of neuronal functions and neurophysiologic properties of the brain function together with the mechanisms underlying the generation of signals and their recording is, however, vital for those who deal with these signals for detection, diagnosis, and treatment of brain disorders and the related diseases. This research paper concentrated only on brain tumor detection. Using minimum electrode location the brain tumor possibility is detected. This paper is separated into two parts: the First part deals with electrode location on the scalp and the second part deals with how the fuzzy logic rule based algorithm is applied for estimation of brain tumor from EEG. Basically 8 locations are identified. After acquiring the pure EEG signal Fuzzy Logic Rule is applied to predict the possibility of brain tumor.

  6. Benign Myoclonus of Early Infancy

    OpenAIRE

    J Gordon Millichap

    2009-01-01

    To redefine benign myoclonus of early infancy (BMEI), clinical and neurophysiologic features in 102 infants (60 male) with brief paroxysmal abnormal movements and normal neurologic and psychomotor development were studied at one center in Argentina and two in Italy.

  7. Radiation treatment of benign diseases

    International Nuclear Information System (INIS)

    The report deals with an estimation of the volume of radiation treatment of benign diseases in Norway and gives a survey of the subjective opinion of patients regarding the result of the treatment. Reported subjective recovery after radiation treatment seems to be at the same level as recovery without treatment. For an indication of the objective effect of radiation treatment of benign diseases, the subjective effect of this treatment has to be compared with objective findings

  8. Conducting Art Therapy Research Using Quantitative EEG Measures

    Science.gov (United States)

    Belkofer, Christopher M.; Konopka, Lukasz M.

    2008-01-01

    This study presents a modified, single subject design that measured the patterns of electrical activity of a participant's brain following an hour spent painting and drawing. Paired t tests were used to compare pre and post art-making electroencephalograph (EEG) data. The results indicated that neurobiological activity after drawing and painting…

  9. Classification of spontaneous EEG signals in migraine

    Science.gov (United States)

    Bellotti, R.; De Carlo, F.; de Tommaso, M.; Lucente, M.

    2007-08-01

    We set up a classification system able to detect patients affected by migraine without aura, through the analysis of their spontaneous EEG patterns. First, the signals are characterized by means of wavelet-based features, than a supervised neural network is used to classify the multichannel data. For the feature extraction, scale-dependent and scale-independent methods are considered with a variety of wavelet functions. Both the approaches provide very high and almost comparable classification performances. A complete separation of the two groups is obtained when the data are plotted in the plane spanned by two suitable neural outputs.

  10. Are There Any Specific EEG Findings in Autoimmune Epilepsies?

    Science.gov (United States)

    Baysal-Kirac, Leyla; Tuzun, Erdem; Altindag, Ebru; Ekizoglu, Esme; Kinay, Demet; Bilgic, Basar; Tekturk, Pinar; Baykan, Betul

    2016-07-01

    This study evaluated the EEG findings of patients whose seizures were associated with a possible autoimmune etiology. Our aim was to find clues to distinguish patients with antineuronal antibodies (Ab) through EEG studies. We reviewed our database and identified antineuronal Ab positive epilepsy patients with or without autoimmune encephalitis. These patients had Abs to N-methyl-d-aspartate receptor (NMDAR) (n = 5), glycine receptor (GLY-R) (n = 5), contactin-associated protein-like 2 (CASPR-2) (n = 4), uncharacterized voltage-gated potassium channel complex (VGKC) antigens (n = 2), glutamic acid decarboxylase (GAD) (n = 2), Hu (n = 1), and amphiphysin (n = 1). The control group consisted of 21 seronegative epilepsy or encephalopathy patients with similar clinical features. EEG findings were compared between the groups in a blindfolded design. We did not find any significant difference in EEG findings between antineuronal Ab positive epilepsy patients and seronegative control group. It was remarkable that four seropositive but none of the seronegative patients presented with nonconvulsive status epilepticus (NCSE) or focal motor status epilepticus. Continuous theta and delta rhythms were observed in 5 (71%) seropositive patients with autoimmune encephalitis and 2 (25%) seronegative patients. Eight (40 %) seropositive patients showed a frontal intermittent rhythmic delta activity (FIRDA) pattern as opposed to 5 (24%) seronegative patients. Two patients with NMDAR Ab positivity showed rhythmic delta waves superimposed with beta frequency activity resembling "delta brush" pattern. EEG seems as a limited diagnostic tool in differentiating epilepsy and/or encephalopathy patients with a possible autoimmune etiology from those without. However, antineuronal Abs associated with encephalitis should be considered in the etiology of status epilepticus forms. A possible autoimmune etiology for seizures may be considered in the presence of continuous slow waves, FIRDA, and

  11. A New Method for EEG Compressive Sensing

    OpenAIRE

    FIRA, M.; GORAS, L.

    2012-01-01

    The paper investigates the possibility of using compressive sensing techniques for the acquisition and reconstruction of EEG signals containing the evoked potential P300. A method of EEG compressive sensing based on the physiological correlation of EEG channels is proposed. The reconstruction of 55 EEG channels signals acquired by compressive sensing uses a dictionary consisting of EEG signals from other nine channels with normal acquisition.

  12. Auto-antibodies and seizures: clinical and EEG findings.

    Science.gov (United States)

    Drazkowski, Joseph; Hoerth, Matthew; Tapsell, Lisa; Noe, Katherine; Shih, Jerry; Sirven, Joseph; Tatum, William O

    2014-03-01

    Epilepsy is a common disorder that may be caused by wide ranging etiologies. Historically a significant number of people with epilepsy have idiopathic epilepsy without a definitive etiology. More recently, auto-antibodies have been discovered to be associated with numerous conditions affecting the nervous system, including epilepsy. With this increased understanding of the potential for immune-based etiologies for epilepsy it is important to recognize the associated EEG patterns in such cases. This report presents the EEG findings in epilepsy patients with one or more auto-antibodies. PMID:24783749

  13. Benign versus malignant lymphadenopathy : the usefulness of color doppler sonography

    International Nuclear Information System (INIS)

    To evaluate the vascular pattern of lymph nodes, and the usefulness of color Doppler sonogaphy in differentiating benign from malignant superficial lymphadenopathy. Twenty-six patients were pathologically and clinically confirmed to be suffering from benign reactive lymphadenitis and tuberculosis (n=16) or lymphoma and malignant lymphadenitis (n=10). Lymph node shape was assessed by the ratio of longitudinal diameter to transverse diameter(L/T), and patients were thus assigned to one of two groups : L/T≥2, or L/T<2. The hilar vascular pattern of lymph node was assessed by color Doppler sonography and classified as central, eccentric, or absent. On the basis of peripheral vascularity, patients were divided into three groups according to circumferental linear vascularity. An absence of peripheral vascularity was classified as grade 0. If less than half the periphery was covered by linear vascularity, a patient was assigned to as grade I, and if more than half was covered by a vessel, the classification was grade II. Statistically significant differences in L/T ratio were noted between malignant and benign node (p<.001). Of the 16 benign reactive nodes, 13 showed L/T≥2, and 3 L/T<2. while in nine of the ten malignant nodes, L/T<2 was noted. Among 16 benign reactive nodes, hilar vascularity was central in 13, eccentric in one, and absent in two. Among the ten malignant nodes, the corresponding totals were nil, four, and Six. The hilar vascular pattern showed statistically significant differentiation between malignant and benign node (p<.05). Among 16 benign reactive nodes, 13 were grade 0, two were grade I, and one was grade II, while among ten malignant nodes, two were grade 0 and eight were grade I. On the basis of vascular pattern, the difference between benign and malignant nodes was statistically significant (p<.05). L/T ratio<2, absent or eccentric hilar vascularity, and the presence of peripheral vascularity are suggestive of malignant lymph node. The shape

  14. Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique.

    Directory of Open Access Journals (Sweden)

    Todd Zorick

    Full Text Available Recently, many lines of investigation in neuroscience and statistical physics have converged to raise the hypothesis that the underlying pattern of neuronal activation which results in electroencephalography (EEG signals is nonlinear, with self-affine dynamics, while scalp-recorded EEG signals themselves are nonstationary. Therefore, traditional methods of EEG analysis may miss many properties inherent in such signals. Similarly, fractal analysis of EEG signals has shown scaling behaviors that may not be consistent with pure monofractal processes. In this study, we hypothesized that scalp-recorded human EEG signals may be better modeled as an underlying multifractal process. We utilized the Physionet online database, a publicly available database of human EEG signals as a standardized reference database for this study. Herein, we report the use of multifractal detrended fluctuation analysis on human EEG signals derived from waking and different sleep stages, and show evidence that supports the use of multifractal methods. Next, we compare multifractal detrended fluctuation analysis to a previously published multifractal technique, wavelet transform modulus maxima, using EEG signals from waking and sleep, and demonstrate that multifractal detrended fluctuation analysis has lower indices of variability. Finally, we report a preliminary investigation into the use of multifractal detrended fluctuation analysis as a pattern classification technique on human EEG signals from waking and different sleep stages, and demonstrate its potential utility for automatic classification of different states of consciousness. Therefore, multifractal detrended fluctuation analysis may be a useful pattern classification technique to distinguish among different states of brain function.

  15. Radical pancreaticoduodenectomy for benign disease.

    LENUS (Irish Health Repository)

    Kavanagh, D O

    2008-01-01

    Whipple\\'s procedure is the treatment of choice for pancreatic and periampullary malignancies. Preoperative histological confirmation of malignancy is frequently unavailable and some patients will subsequently be found to have benign disease. Here, we review our experience with Whipple\\'s procedure for patients ultimately proven to have benign disease. The medical records of all patients who underwent Whipple\\'s procedure during a 15-year period (1987-2002) were reviewed; 112 patients underwent the procedure for suspected malignancy. In eight cases, the final histology was benign (7.1%). One additional patient was known to have benign disease at resection. The mean age was 50 years (range: 30-75). The major presenting features included jaundice (five), pain (two), gastric outlet obstruction (one), and recurrent gastrointestinal haemorrhage (one). Investigations included ultrasound (eight), computerised tomography (eight), endoscopic retrograde cholangiopancreatography (seven; of these, four patients had a stent inserted and three patients had sampling for cytology), and endoscopic ultrasound (two). The pathological diagnosis included benign biliary stricture (two), chronic pancreatitis (two), choledochal cyst (one), inflammatory pseudotumour (one), cystic duodenal wall dysplasia (one), duodenal angiodysplasia (one), and granular cell neoplasm (one). There was no operative mortality. Morbidity included intra-abdominal collection (one), anastomotic leak (one), liver abscess (one), and myocardial infarction (one). All patients remain alive and well at mean follow-up of 41 months. Despite recent advances in diagnostic imaging, 8% of the patients undergoing Whipple\\'s procedure had benign disease. A range of unusual pathological entities can mimic malignancy. Accurate preoperative histological diagnosis may have allowed a less radical operation to be performed. Endoscopic ultrasound-guided fine needle aspirate (EUS-FNA) may reduce the need for Whipple\\'s operation

  16. Radical Pancreaticoduodenectomy for Benign Disease

    Directory of Open Access Journals (Sweden)

    D. O. Kavanagh

    2008-01-01

    Full Text Available Whipple's procedure is the treatment of choice for pancreatic and periampullary malignancies. Preoperative histological confirmation of malignancy is frequently unavailable and some patients will subsequently be found to have benign disease. Here, we review our experience with Whipple's procedure for patients ultimately proven to have benign disease. The medical records of all patients who underwent Whipple's procedure during a 15-year period (1987–2002 were reviewed; 112 patients underwent the procedure for suspected malignancy. In eight cases, the final histology was benign (7.1%. One additional patient was known to have benign disease at resection. The mean age was 50 years (range: 30–75. The major presenting features included jaundice (five, pain (two, gastric outlet obstruction (one, and recurrent gastrointestinal haemorrhage (one. Investigations included ultrasound (eight, computerised tomography (eight, endoscopic retrograde cholangiopancreatography (seven; of these, four patients had a stent inserted and three patients had sampling for cytology, and endoscopic ultrasound (two. The pathological diagnosis included benign biliary stricture (two, chronic pancreatitis (two, choledochal cyst (one, inflammatory pseudotumour (one, cystic duodenal wall dysplasia (one, duodenal angiodysplasia (one, and granular cell neoplasm (one. There was no operative mortality. Morbidity included intra-abdominal collection (one, anastomotic leak (one, liver abscess (one, and myocardial infarction (one. All patients remain alive and well at mean follow-up of 41 months. Despite recent advances in diagnostic imaging, 8% of the patients undergoing Whipple'’s procedure had benign disease. A range of unusual pathological entities can mimic malignancy. Accurate preoperative histological diagnosis may have allowed a less radical operation to be performed. Endoscopic ultrasound–guided fine needle aspirate (EUS-FNA may reduce the need for Whipple's operation in

  17. Benign fibrous histiocytoma of the lumbar vertebrae

    Energy Technology Data Exchange (ETDEWEB)

    Demiralp, Bahtiyar; Oguz, Erbil; Sehirlioglu, Ali [Gulhane Military Medical Academy, Department of Orthopedics and Traumatology, Ankara (Turkey); Kose, Ozkan [Diyarbakir Education and Research Hospital, Department of Orthopedics and Traumatology, Diyarbakir (Turkey); Ataslar Serhat Evleri, Diclekent Bulvari, Diyarbakir (Turkey); Sanal, Tuba [Gulhane Military Medical Academy, Department of Radiology, Ankara (Turkey); Ozcan, Ayhan [Gulhane Military Medical Academy, Department of Pathology, Ankara (Turkey)

    2009-02-15

    Benign fibrous histiocytoma is an extremely rare spinal tumor with ten reported cases in the literature. Benign fibrous histiocytoma constitutes a diagnostic challenge because it shares common clinical symptoms, radiological characteristics, and histological features with other benign lesions involving the spine. We present a case of benign fibrous histiocytoma of the lumbar spine and discuss its differential diagnosis and management. (orig.)

  18. Benign mixed tumor of the lacrimal sac

    Directory of Open Access Journals (Sweden)

    Jong-Suk Lee

    2015-01-01

    Full Text Available Neoplasms of the lacrimal drainage system are uncommon, but potentially life-threatening and are often difficult to diagnose. Among primary lacrimal sac tumors, benign mixed tumors are extremely rare. Histologically, benign mixed tumors have been classified as a type of benign epithelial tumor. Here we report a case of benign mixed tumor of the lacrimal sac.

  19. Modulation of EEG Theta Band Signal Complexity by Music Therapy

    Science.gov (United States)

    Bhattacharya, Joydeep; Lee, Eun-Jeong

    The primary goal of this study was to investigate the impact of monochord (MC) sounds, a type of archaic sounds used in music therapy, on the neural complexity of EEG signals obtained from patients undergoing chemotherapy. The secondary goal was to compare the EEG signal complexity values for monochords with those for progressive muscle relaxation (PMR), an alternative therapy for relaxation. Forty cancer patients were randomly allocated to one of the two relaxation groups, MC and PMR, over a period of six months; continuous EEG signals were recorded during the first and last sessions. EEG signals were analyzed by applying signal mode complexity, a measure of complexity of neuronal oscillations. Across sessions, both groups showed a modulation of complexity of beta-2 band (20-29Hz) at midfrontal regions, but only MC group showed a modulation of complexity of theta band (3.5-7.5Hz) at posterior regions. Therefore, the neuronal complexity patterns showed different changes in EEG frequency band specific complexity resulting in two different types of interventions. Moreover, the different neural responses to listening to monochords and PMR were observed after regular relaxation interventions over a short time span.

  20. Hemimegalencephaly: Clinical, EEG, neuroimaging, and IMP-SPECT correlation

    International Nuclear Information System (INIS)

    Iofetamine-single photon emission computed tomography (IMP-SPECT) was performed on 2 girls (5 1/2 and 6 years of age) with histories of intractable seizures, developmental delay, and unilateral hemiparesis secondary to hemimegalencephaly. Electroencephalography (EEG) revealed frequent focal discharges in 1 patient, while a nearly continuous burst suppression pattern over the malformed hemisphere was recorded in the other. IMP-SPECT demonstrated a good correlation with neuroimaging studies. In spite of the different EEG patterns, which had been proposed to predict contrasting clinical outcomes, both IMP-SPECT scans disclosed a similar decrease in tracer uptake in the malformed hemisphere. These results are consistent with the pattern of decreased tracer uptake found in other interictal studies of focal seizures without cerebral malformations. In view of recent recommendations for hemispherectomy in these patients, we suggest that the IMP-SPECT scan be used to compliment EEG as a method to define the extent of abnormality which may be more relevant to long-term prognosis than EEG alone

  1. Cognitive workload modulation through degraded visual stimuli: a single-trial EEG study

    Science.gov (United States)

    Yu, K.; Prasad, I.; Mir, H.; Thakor, N.; Al-Nashash, H.

    2015-08-01

    Objective. Our experiments explored the effect of visual stimuli degradation on cognitive workload. Approach. We investigated the subjective assessment, event-related potentials (ERPs) as well as electroencephalogram (EEG) as measures of cognitive workload. Main results. These experiments confirm that degradation of visual stimuli increases cognitive workload as assessed by subjective NASA task load index and confirmed by the observed P300 amplitude attenuation. Furthermore, the single-trial multi-level classification using features extracted from ERPs and EEG is found to be promising. Specifically, the adopted single-trial oscillatory EEG/ERP detection method achieved an average accuracy of 85% for discriminating 4 workload levels. Additionally, we found from the spatial patterns obtained from EEG signals that the frontal parts carry information that can be used for differentiating workload levels. Significance. Our results show that visual stimuli can modulate cognitive workload, and the modulation can be measured by the single trial EEG/ERP detection method.

  2. Cholesterol and benign prostate disease.

    Science.gov (United States)

    Freeman, Michael R; Solomon, Keith R

    2011-01-01

    The origins of benign prostatic diseases, such as benign prostatic hyperplasia (BPH) and chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), are poorly understood. Patients suffering from benign prostatic symptoms report a substantially reduced quality of life, and the relationship between benign prostate conditions and prostate cancer is uncertain. Epidemiologic data for BPH and CP/CPPS are limited, however an apparent association between BPH symptoms and cardiovascular disease (CVD) has been consistently reported. The prostate synthesizes and stores large amounts of cholesterol and prostate tissues may be particularly sensitive to perturbations in cholesterol metabolism. Hypercholesterolemia, a major risk factor for CVD, is also a risk factor for BPH. Animal model and clinical trial findings suggest that agents that inhibit cholesterol absorption from the intestine, such as the class of compounds known as polyene macrolides, can reduce prostate gland size and improve lower urinary tract symptoms (LUTS). Observational studies indicate that cholesterol-lowering drugs reduce the risk of aggressive prostate cancer, while prostate cancer cell growth and survival pathways depend in part on cholesterol-sensitive biochemical mechanisms. Here we review the evidence that cholesterol metabolism plays a role in the incidence of benign prostate disease and we highlight possible therapeutic approaches based on this concept. PMID:21862201

  3. Environmentally Benign Stab Detonators

    Energy Technology Data Exchange (ETDEWEB)

    Gash, A E

    2006-07-07

    The coupling of energetic metallic multilayers (a.k.a. flash metal) with energetic sol-gel synthesis and processing is an entirely new approach to forming energetic devices for several DoD and DOE needs. They are also practical and commercially viable manufacturing techniques. Improved occupational safety and health, performance, reliability, reproducibility, and environmentally acceptable processing can be achieved using these methodologies and materials. The development and fielding of this technology will enhance mission readiness and reduce the costs, environmental risks and the necessity of resolving environmental concerns related to maintaining military readiness while simultaneously enhancing safety and health. Without sacrificing current performance, we will formulate new impact initiated device (IID) compositions to replace materials from the current composition that pose significant environmental, health, and safety problems associated with functions such as synthesis, material receipt, storage, handling, processing into the composition, reaction products from testing, and safe disposal. To do this, we will advance the use of nanocomposite preparation via the use of multilayer flash metal and sol-gel technologies and apply it to new small IIDs. This work will also serve to demonstrate that these technologies and resultant materials are relevant and practical to a variety of energetic needs of DoD and DOE. The goal will be to produce an IID whose composition is acceptable by OSHA, EPA, the Clean Air Act, Clean Water Act, Resource Recovery Act, etc. standards, without sacrificing current performance. The development of environmentally benign stab detonators and igniters will result in the removal of hazardous and toxic components associated with their manufacturing, handling, and use. This will lead to improved worker safety during manufacturing as well as reduced exposure of Service personnel during their storage and or use in operations. The

  4. Design of environmentally benign processes

    DEFF Research Database (Denmark)

    Hostrup, Martin; Harper, Peter Mathias; Gani, Rafiqul

    1999-01-01

    This paper presents a hybrid method for design of environmentally benign processes. The hybrid method integrates mathematical modelling with heuristic approaches to solving the optimisation problems related to separation process synthesis and solvent design and selection. A structured method of...... solution, which employs thermodynamic insights to reduce the complexity and size of the mathematical problem by eliminating redundant alternatives, has been developed for the hybrid method. Separation process synthesis and design problems related to the removal of a chemical species from process streams...... mixture and the second example involves the determination of environmentally benign substitute solvents for removal of a chemical species from wastewater. (C) 1999 Elsevier Science Ltd. All rights reserved....

  5. Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power.

    Science.gov (United States)

    Zhang, Zisheng; Parhi, Keshab K

    2016-06-01

    Prediction of seizures is a difficult problem as the EEG patterns are not wide-sense stationary and change from seizure to seizure, electrode to electrode, and from patient to patient. This paper presents a novel patient-specific algorithm for prediction of seizures in epileptic patients from either one or two single-channel or bipolar channel intra-cranial or scalp electroencephalogram (EEG) recordings with low hardware complexity. Spectral power features are extracted and their ratios are computed. For each channel, a total of 44 features including 8 absolute spectral powers, 8 relative spectral powers and 28 spectral power ratios are extracted every two seconds using a 4-second window with a 50% overlap. These features are then ranked and selected in a patient-specific manner using a two-step feature selection. Selected features are further processed by a second-order Kalman filter and then input to a linear support vector machine (SVM) classifier. The algorithm is tested on the intra-cranial EEG (iEEG) from the Freiburg database and scalp EEG (sEEG) from the MIT Physionet database. The Freiburg database contains 80 seizures among 18 patients in 427 hours of recordings. The MIT EEG database contains 78 seizures from 17 children in 647 hours of recordings. It is shown that the proposed algorithm can achieve a sensitivity of 100% and an average false positive rate (FPR) of 0.0324 per hour for the iEEG (Freiburg) database and a sensitivity of 98.68% and an average FPR of 0.0465 per hour for the sEEG (MIT) database. These results are obtained with leave-one-out cross-validation where the seizure being tested is always left out from the training set. The proposed algorithm also has a low complexity as the spectral powers can be computed using FFT. The area and power consumption of the proposed linear SVM are 2 to 3 orders of magnitude less than a radial basis function kernel SVM (RBF-SVM) classifier. Furthermore, the total energy consumption of a system using linear

  6. Some methods for dynamic analysis of the scalp recorded EEG.

    Science.gov (United States)

    Pribram, K H; King, J S; Pierce, T W; Warren, A

    1996-01-01

    This paper describes methods for quantifying the spatiotemporal dynamics of EEG. Development of these methods was motivated by watching computer-generated animations of EEG voltage records. These animations contain a wealth of information about the pattern of change across time in the voltages observed across the surface of the scalp. In an effort to quantify this pattern of changing voltages, we elected to extract a single quantifiable feature from each measurement epoch, the highest squared voltage among the various electrode sites. Nineteen channels of EEG were collected from subjects using an electrode cap with standard 10-20 system placements. Two minute records were obtained. Each record was sampled at a rate of 200 per second. Thirty seconds of artifact-free data were extracted from each 2 minute record. An algorithm then determined the location of the channel with the greatest amplitude for each 5 msec sampling epoch. We quantified these spatio-temporal dynamics as scalars, vectors and cluster analytic plots of EEG activity for finger tapping, cognitive effort (counting backwards) and relaxation to illustrate the utility of the techniques. PMID:8813416

  7. Automatic classification of background EEG activity in healthy and sick neonates

    Science.gov (United States)

    Löfhede, Johan; Thordstein, Magnus; Löfgren, Nils; Flisberg, Anders; Rosa-Zurera, Manuel; Kjellmer, Ingemar; Lindecrantz, Kaj

    2010-02-01

    The overall aim of our research is to develop methods for a monitoring system to be used at neonatal intensive care units. When monitoring a baby, a range of different types of background activity needs to be considered. In this work, we have developed a scheme for automatic classification of background EEG activity in newborn babies. EEG from six full-term babies who were displaying a burst suppression pattern while suffering from the after-effects of asphyxia during birth was included along with EEG from 20 full-term healthy newborn babies. The signals from the healthy babies were divided into four behavioural states: active awake, quiet awake, active sleep and quiet sleep. By using a number of features extracted from the EEG together with Fisher's linear discriminant classifier we have managed to achieve 100% correct classification when separating burst suppression EEG from all four healthy EEG types and 93% true positive classification when separating quiet sleep from the other types. The other three sleep stages could not be classified. When the pathological burst suppression pattern was detected, the analysis was taken one step further and the signal was segmented into burst and suppression, allowing clinically relevant parameters such as suppression length and burst suppression ratio to be calculated. The segmentation of the burst suppression EEG works well, with a probability of error around 4%.

  8. Impact of the reference choice on scalp EEG connectivity estimation

    Science.gov (United States)

    Chella, Federico; Pizzella, Vittorio; Zappasodi, Filippo; Marzetti, Laura

    2016-06-01

    Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to overlook the reference electrode impact. The subsequent interpretation of brain connectivity is thus often biased by the choice of a non-neutral reference. This study aims at systematically investigating these effects. Approach. As EEG reference, we examined the vertex electrode (Cz), the digitally linked mastoids (DLM), the average reference (AVE), and the reference electrode standardization technique (REST). As a connectivity metric, we used the imaginary part of the coherency. We tested simulated and real data (eyes-open resting state) by evaluating the influence of electrode density, the effect of head model accuracy in the REST transformation, and the impact on the characterization of the topology of functional networks from graph analysis. Main results. Simulations demonstrated that REST significantly reduced the distortion of connectivity patterns when compared to AVE, Cz, and DLM references. Moreover, the availability of high-density EEG systems and an accurate knowledge of the head model are crucial elements to improve REST performance, with the individual realistic head model being preferable to the standard realistic head model. For real data, a systematic change of the spatial pattern of functional connectivity depending on the chosen reference was also observed. The distortion of connectivity patterns was larger for the Cz reference, and progressively decreased when using the DLM, the AVE, and the REST. Strikingly, we also showed that network attributes derived from graph analysis, i.e. node degree and local efficiency, are significantly influenced by the EEG reference choice. Significance. Overall, this study highlights that significant differences arise in scalp EEG functional connectivity and graph network properties, in dependence on the chosen reference. We hope that our study will convey the message that caution should be used when interpreting and comparing

  9. Diagnosing Common Benign Skin Tumors.

    Science.gov (United States)

    Higgins, James C; Maher, Michael H; Douglas, Mark S

    2015-10-01

    Patients will experience a wide range of skin growths and changes over their lifetime. Family physicians should be able to distinguish potentially malignant from benign skin tumors. Most lesions can be diagnosed on the basis of history and clinical examination. Lesions that are suspicious for malignancy, those with changing characteristics, symptomatic lesions, and those that cause cosmetic problems may warrant medical therapy, a simple office procedure (e.g., excision, cryosurgery, laser ablation), or referral. Acrochordons are extremely common, small, and typically pedunculated benign neoplasms. Simple scissor or shave excision, electrodesiccation, or cryosurgery can be used for treatment. Sebaceous hyperplasia presents as asymptomatic, discrete, soft, pale yellow, shiny bumps on the forehead or cheeks, or near hair follicles. Except for cosmesis, they have no clinical significance. Lipomas are soft, flesh-colored nodules that are easily moveable under the overlying skin. Keratoacanthomas are rapidly growing, squamoproliferative benign tumors that resemble squamous cell carcinomas. Early simple excision is recommended. Pyogenic granuloma is a rapidly growing nodule that bleeds easily. Treatment includes laser ablation or shave excision with electrodesiccation of the base. Dermatofibromas are an idiopathic benign proliferation of fibroblasts. No treatment is required unless there is a change in size or color, bleeding, or irritation from trauma. Epidermal inclusion cysts can be treated by simple excision with removal of the cyst and cyst wall. Seborrheic keratoses and cherry angiomas generally do not require treatment. PMID:26447443

  10. Familial benign pemphigus atypical localization

    OpenAIRE

    Reyes, Maria Veronica; Halac, Sabina; Mainardi, Claudio; Kurpis, Maria; Ruiz Lascano, Alejandro

    2016-01-01

    We present an atypical case of familial benign pemphigus (Hailey-Hailey disease), which presented as crusted, annular plaques limited to the back without intertriginous involvement. We could not find in the literature another patient with plaques located solely on the back without a prior history of classical disease.

  11. Continuous EEG in Critically Ill Children

    OpenAIRE

    Jonathan E Kurz; Wainwright, Mark S

    2015-01-01

    Investigators from the Critical Care Continuous EEG Task Force of the American Clinical Neurophysiology Society reported a consensus statement on indications for the use of critical care continuous electroencephalographic monitoring (ccEEG) in adults and children.

  12. On the Individuality of Sleep EEG Spectra

    OpenAIRE

    Lewandowski, Achim; Rosipal, Roman; Dorffner, Georg

    2013-01-01

    Research in recent years has supported the hypothesis that many properties of the electroencephalogram (EEG) are specific to an individual. In this study, the intra- and inter-individual variations of sleep EEG signals were investigated. This was carried out by analyzing the stability of the average EEG spectra individually computed for the Rechtschaffen and Kales (RK) sleep stages. Six EEG channels were used to account for the topographical aspect of the analysis. Validity of the results was...

  13. EEG Signal Denoising and Feature Extraction Using Wavelet Transform in Brain Computer Interface

    Institute of Scientific and Technical Information of China (English)

    WU Ting; YAN Guo-zheng; YANG Bang-hua; SUN Hong

    2007-01-01

    Electroencephalogram (EEG) signal preprocessing is one of the most important techniques in brain computer interface (BCI). The target is to increase signal-to-noise ratio and make it more favorable for feature extraction and pattern recognition. Wavelet transform is a method of multi-resolution time-frequency analysis, it can decompose the mixed signals which consist of different frequencies into different frequency band. EEG signal is analyzed and denoised using wavelet transform. Moreover, wavelet transform can be used for EEG feature extraction. The energies of specific sub-bands and corresponding decomposition coefficients which have maximal separability according to the Fisher distance criterion are selected as features. The eigenvector for classification is obtained by combining the effective features from different channels. The performance is evaluated by separability and pattern recognition accuracy using the data set of BCI 2003 Competition, the final classification results have proved the effectiveness of this technology for EEG denoising and feature extraction.

  14. Analysis of Age Dependent Effects of Heat Stress on EEG Frequency Components in Rats

    Institute of Scientific and Technical Information of China (English)

    RAKESH KUMAR SINHA

    2009-01-01

    Objective To demonstrate changes in different frequencies of cerebral electrical activity or electroencephalogram (EEG) following exposure to high environmental heat in three different age groups of freely moving rats. Methods Rats were divided into three groups (i) acute heat stress - subjected to a single exposure for four hours at 38 ℃; (ii) chronic heat stress -exposed for 21 days daily for one hour at 38 ℃, and (iii) handling control groups. The digital polygraphic sleep-EEG recordings were performed just after the heat exposure from acute stressed rats and on 22nd day from chronic stressed rats by simultaneous recording of cortical EEG EOG (electrooculogram), and EMG (electromyogram). Further, power spectrum analyses were performed to analyze the effects of heat stress. Results The frequency analysis of EEG signals following exposure to high environmental heat revealed that in all three age groups of rats, changes in higher frequency components (β2) were significant in all sleep-wake states following both acute and chronic heat stress conditions. After exposure to acute heat, significant changes in EEG frequencies with respect to their control groups were observed, which were reversed partly or fully in four hours of EEG recording. On the other hand, due to repetitive chronic exposure to hot environment, adaptive and long-term changes in EEG frequency patterns were observed. Conclusion The present study has exhibited that the cortical EEG is sensitive to environmental heat and alterations in EEG frequencies in different sleep-wake states due to heat stress can be differentiated efficiently by EEG power spectrum analysis.

  15. Genetic control of ethanol action on the central nervous system. An EEG study in twins.

    Science.gov (United States)

    Propping, P

    1977-03-14

    The purpose of the investigation is to claify the genetic contribution to the interindividual variability of ethanol action on the central nervous system. The 52 adult male healthy twin pairs (26 MZ, 26 DZ) got 1.2 ml/kg ethanol p.o. under standardized conditions; furthermore, 13 non-twin subjects were repeatedly subjected to the same procedure in order to test the intraindividual variability. The EEG was recorded before and 60, 120, 180, and 240 min after alcohol intake. The EEGs were off-line analyzed by means of a computer program for time domain analysis. As was already known, on the average alcohol led to a better synchronisation of the EEG, i.e., the number of beta-waves decreased whereas the number of alpha- and theta-waves increased. The extent of the alcohol effect on the EEG varied enormously between individuals; however, the EEGs of MZ twins proved to react indentically to alcohol loading, whereas the EEGs of DZ twins became mor dissimilar during the course of the experiment. The low-voltage EEG presumably is resistant to alchohol; furthermore, it is supposed that there exists a special beta-prone EEG-type which is also genetic in origin. The identical EEG reaction of MZ twins to alcohol loading could not be attributed to more similar blood alcohol concentrations. It is hypothesized that the differences in the extent of the alcohol effect on the EEG between individuals might reflect differences in the sensitivity of the ascending reticular activating system. In the literature it has frequently been reported that alcoholics have preferentially brain wave patterns which are poorly synchronized. These findings are discussed in the light of the present results. PMID:557449

  16. Interhemispheric synchrony in the neonatal EEG revisited: Activation Synchrony Index as a promising classifier

    Directory of Open Access Journals (Sweden)

    Ninah eKoolen

    2014-12-01

    Full Text Available A key feature of normal neonatal EEG at term age is interhemispheric synchrony (IHS, which refers to the temporal co-incidence of bursting across hemispheres during trace alternant EEG activity. The assessment of IHS in both clinical and scientific work relies on visual, qualitative EEG assessment without clearly quantifiable definitions. A quantitative measure, activation synchrony index (ASI, was recently shown to perform well as compared to visual assessments. The present study set out to test whether IHS is stable enough for clinical use, and whether it could be an objective feature of EEG normality.We analyzed 31 neonatal EEG recordings that had been clinically classified as normal (n=14 or abnormal (n=17 using holistic, conventional visual criteria including amplitude, focal differences, qualitative synchrony, and focal abnormalities. We selected 20-minute epochs of discontinuous background pattern. ASI values were computed separately for different channel pair combinations and window lengths to define the optimal ASI intraindividual stability. Finally, ROC curves were computed to find trade-offs related to compromised data lengths, a common challenge in neonatal EEG studies.Using the average of four consecutive 2.5-minute epochs in the centro-occipital bipolar derivations gave ASI estimates that very accurately distinguished babies clinically classified as normal vs. abnormal. It was even possible to draw a cut-off limit (ASI~3.6 which correctly classified the EEGs in 97% of all cases. Finally, we showed that compromising the length of EEG segments from 20 minutes to 5 minutes leads to increased variability in ASI-based classification.Our findings support the prior literature that IHS is an important feature of normal neonatal brain function. We show that ASI may provide diagnostic value even at individual level, which strongly supports its use in prospective clinical studies on neonatal EEG as well as in the feature set of upcoming EEG

  17. EEG enhancement for EEG source localization in brain-machine speller

    OpenAIRE

    Babaeeghazvini, Parinaz

    2013-01-01

    A Brain-Computer Interface (BCI) is a system to communicate with external world through the brain activity. The brain activity is measured by Electro-Encephalography (EEG) and then processed by a BCI system. EEG source reconstruction could be a way to improve the accuracy of EEG classification in EEGbased brain–computer interface (BCI). In this thesis BCI methods were applied on derived sources which by their EEG enhancement it became possible to obtain a more accurate EEG detection and broug...

  18. 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.

  19. EEG signal analysis: a survey.

    Science.gov (United States)

    Subha, D Puthankattil; Joseph, Paul K; Acharya U, Rajendra; Lim, Choo Min

    2010-04-01

    The EEG (Electroencephalogram) signal indicates the electrical activity of the brain. They are highly random in nature and may contain useful information about the brain state. However, it is very difficult to get useful information from these signals directly in the time domain just by observing them. They are basically non-linear and nonstationary in nature. Hence, important features can be extracted for the diagnosis of different diseases using advanced signal processing techniques. In this paper the effect of different events on the EEG signal, and different signal processing methods used to extract the hidden information from the signal are discussed in detail. Linear, Frequency domain, time - frequency and non-linear techniques like correlation dimension (CD), largest Lyapunov exponent (LLE), Hurst exponent (H), different entropies, fractal dimension(FD), Higher Order Spectra (HOS), phase space plots and recurrence plots are discussed in detail using a typical normal EEG signal. PMID:20433058

  20. Histiocytic sarcoma that mimics benign histiocytosis.

    Science.gov (United States)

    Boisseau-Garsaud, A M; Vergier, B; Beylot-Barry, M; Nastasel-Menini, F; Dubus, P; de Mascarel, A; Eghbali, H; Beylot, C

    1996-06-01

    A 28-year-old man presented with a histiocytic sarcoma of a very uncommon origin, as it had developed for several years like a benign cutaneous histiocytosis resembling generalized eruptive histiocytoma before becoming acute, with nodal and massive pulmonary involvement. Despite various chemotherapies, the patient died within 8 months. Skin biopsies showed histiocytic proliferation in the dermis and node biopsies showed histiocytic proliferation with a sinusoidal pattern. Immunohistochemical analysis, performed on paraffin-embedded sections, demonstrated strong labeling of tumoral cells for CD68 and moderate labeling for CD3 and CD4. CD30 labeling was negative. S-100 protein was positive on a Langerhans' cell reactive subpopulation. Electron microscopy confirmed the histiocytic nature of malignant cells and showed cytoplasmic inclusions such as regularly laminated bodies, dense bodies and pleomorphic inclusions. No Birbeck granules were seen. A gene rearrangement study of T-cell receptor gamma and immunoglobulin heavy chain genes showed a germline configuration. Histiocytic sarcoma is an extremely rare true histiocytic malignancy, the existence of which has been recently debated since it has often been mistaken in the past for large cell lymphomas. Such a deceptive onset as benign cutaneous histiocytosis has not been described in the literature to our knowledge. PMID:8793665

  1. 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, André 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...

  2. Detection of Epilepsy from EEG Signal during Seizure Using Entropy-Based Fuzzy c-Means

    Directory of Open Access Journals (Sweden)

    Tahir Ahmad

    2012-09-01

    Full Text Available One of the major roles of Electrocephalography (EEG is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signatures of general epilepsy by superimposing results of the method.

  3. Hypoglycemia-Associated EEG Changes in Prepubertal Children With Type 1 Diabetes

    OpenAIRE

    Hansen, Grith Lærkholm; Foli-Andersen, Pia; Fredheim, Siri; Juhl, Claus; Remvig, Line Sofie; Rose, Martin H.; Rosenzweig, Ivana; Beniczky, Sándor; Olsen, Birthe; Pilgaard, Kasper; Johannesen, Jesper

    2016-01-01

    BACKGROUND: The purpose of this study was to explore the possible difference in the electroencephalogram (EEG) pattern between euglycemia and hypoglycemia in children with type 1 diabetes (T1D) during daytime and during sleep. The aim is to develop a hypoglycemia alarm based on continuous EEG measurement and real-time signal processing.METHOD: Eight T1D patients aged 6-12 years were included. A hyperinsulinemic hypoglycemic clamp was performed to induce hypoglycemia both during daytime and du...

  4. Objective Audiometry using Ear-EEG

    DEFF Research Database (Denmark)

    Christensen, Christian Bech; Kidmose, Preben

    . Recently, a novel EEG-method called ear-EEG that enable recording of auditory evoked potentials from a personalized earpiece was introduced. Since ear-EEG provides a discrete and non-invasive way of measuring neural signals and can be integrated into hearing aids, it has great potential for use in everyday...... 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....

  5. Insights from radiation treatment for benign disease

    Energy Technology Data Exchange (ETDEWEB)

    Bleehen, N.M.

    1987-08-29

    This note compares mortality figures for patients treated with low dose ionizing radiation for benign conditions between the 1920's and 1950's with figures available from the Japanese A-bomb survivors. X radiation for ringworm, ankylosing spondylitis and post-partum mastitis are considered. Figures for leukemia are roughly comparable between radiotherapy groups and A-bomb survivors. Figures for the increased relative risk of breast cancer in spondylitis patients were in marked contrast to bomb survivors who received comparable doses, but compatible with the increase among women given x-rays for acute post-partum mastitis in the 1940's and 1950's. This study also suggests the possibility of different time patterns of risk between different cancers. (U.K.).

  6. Insights from radiation treatment for benign disease

    International Nuclear Information System (INIS)

    This note compares mortality figures for patients treated with low dose ionizing radiation for benign conditions between the 1920's and 1950's with figures available from the Japanese A-bomb survivors. X radiation for ringworm, ankylosing spondylitis and post-partum mastitis are considered. Figures for leukemia are roughly comparable between radiotherapy groups and A-bomb survivors. Figures for the increased relative risk of breast cancer in spondylitis patients were in marked contrast to bomb survivors who received comparable doses, but compatible with the increase among women given x-rays for acute post-partum mastitis in the 1940's and 1950's. This study also suggests the possibility of different time patterns of risk between different cancers. (U.K.)

  7. BENIGN PROSTATIC HYPERPLASIA: UPDATED REVIEW

    OpenAIRE

    Praveen.R

    2013-01-01

    Benign Prostatic Hyperplasia (BPH) is one of the commonest medical conditions affecting the geriatric male population. The enlargement of prostate can lead to various clinical symptoms like difficulty in voiding, urinary retention etc. The symptoms are varied depending on the size of enlargement. The International Prostatic Symptom Score (IPSS) is the gold standard and first step in understanding and diagnosing the disease clinically, but in the recent past there are various other newer tools...

  8. Benign tumours of the vulva

    International Nuclear Information System (INIS)

    Objective: To present clinicopathological analysis of benign tumours of the vulva. Patients and Methods: Thirty cases of benign tumours of vulva were studied during 2 years research period. Detailed history along with complete local and general physical examination followed by all necessary pre-operative investigations were carried out. Excision surgery was the treatment of choice in majority of cases while marsupialization was done for Bartholin's cyst. Histopathology of tumours specimen was also collected. Results: A total of 30 cases were studied. Twenty-two were cystic and 8 were solid tumours. Aggressive angiomyxoma was 10% of solid tumours and Bartholin's cyst was 46.6% of cystic tumours. Most of the patients were multipara and between 21-30 years of age. The main site of tumour was labium majus. Excision surgery for all cases and marsupialization for Bartholin's cyst was treatment of choice. Conclusion: Aggressive angiomyxoma is the commonest solid benign vulval tumour. It should be considered in the differential diagnosis of vulval mass in women of reproductive age. (author)

  9. EEG functional connectivity, axon delays and white matter disease

    Science.gov (United States)

    Nunez, Paul L.; Srinivasan, Ramesh; Fields, R. Douglas

    2016-01-01

    Objective Both structural and functional brain connectivities are closely linked to white matter disease. We discuss several such links of potential interest to neurologists, neurosurgeons, radiologists, and non-clinical neuroscientists. Methods Treatment of brains as genuine complex systems suggests major emphasis on the multi-scale nature of brain connectivity and dynamic behavior. Cross-scale interactions of local, regional, and global networks are apparently responsible for much of EEG's oscillatory behaviors. Finite axon propagation speed, often assumed to be infinite in local network models, is central to our conceptual framework. Results Myelin controls axon speed, and the synchrony of impulse traffic between distant cortical regions appears to be critical for optimal mental performance and learning. Results Several experiments suggest that axon conduction speed is plastic, thereby altering the regional and global white matter connections that facilitate binding of remote local networks. Conclusions Combined EEG and high resolution EEG can provide distinct multi-scale estimates of functional connectivity in both healthy and diseased brains with measures like frequency and phase spectra, covariance, and coherence. Significance White matter disease may profoundly disrupt normal EEG coherence patterns, but currently these kinds of studies are rare in scientific labs and essentially missing from clinical environments. PMID:24815984

  10. Epileptic seizure onset detection based on EEG and ECG data fusion.

    Science.gov (United States)

    Qaraqe, Marwa; Ismail, Muhammad; Serpedin, Erchin; Zulfi, Haneef

    2016-05-01

    This paper presents a novel method for seizure onset detection using fused information extracted from multichannel electroencephalogram (EEG) and single-channel electrocardiogram (ECG). In existing seizure detectors, the analysis of the nonlinear and nonstationary ECG signal is limited to the time-domain or frequency-domain. In this work, heart rate variability (HRV) extracted from ECG is analyzed using a Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithm in order to effectively extract meaningful HRV features representative of seizure and nonseizure states. The EEG analysis relies on a common spatial pattern (CSP) based feature enhancement stage that enables better discrimination between seizure and nonseizure features. The EEG-based detector uses logical operators to pool SVM seizure onset detections made independently across different EEG spectral bands. Two fusion systems are adopted. In the first system, EEG-based and ECG-based decisions are directly fused to obtain a final decision. The second fusion system adopts an override option that allows for the EEG-based decision to override the fusion-based decision in the event that the detector observes a string of EEG-based seizure decisions. The proposed detectors exhibit an improved performance, with respect to sensitivity and detection latency, compared with the state-of-the-art detectors. Experimental results demonstrate that the second detector achieves a sensitivity of 100%, detection latency of 2.6s, and a specificity of 99.91% for the MAJ fusion case. PMID:27057745

  11. Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm

    Directory of Open Access Journals (Sweden)

    E. Parvinnia

    2014-01-01

    Full Text Available Electroencephalogram (EEG signals are often used to diagnose diseases such as seizure, alzheimer, and schizophrenia. One main problem with the recorded EEG samples is that they are not equally reliable due to the artifacts at the time of recording. EEG signal classification algorithms should have a mechanism to handle this issue. It seems that using adaptive classifiers can be useful for the biological signals such as EEG. In this paper, a general adaptive method named weighted distance nearest neighbor (WDNN is applied for EEG signal classification to tackle this problem. This classification algorithm assigns a weight to each training sample to control its influence in classifying test samples. The weights of training samples are used to find the nearest neighbor of an input query pattern. To assess the performance of this scheme, EEG signals of thirteen schizophrenic patients and eighteen normal subjects are analyzed for the classification of these two groups. Several features including, fractal dimension, band power and autoregressive (AR model are extracted from EEG signals. The classification results are evaluated using Leave one (subject out cross validation for reliable estimation. The results indicate that combination of WDNN and selected features can significantly outperform the basic nearest-neighbor and the other methods proposed in the past for the classification of these two groups. Therefore, this method can be a complementary tool for specialists to distinguish schizophrenia disorder.

  12. Objective Audiometry using Ear-EEG

    DEFF Research Database (Denmark)

    Christensen, Christian Bech; Kidmose, Preben

    Recently, a novel electroencephalographic (EEG) method called ear-EEG [1], that enable recording of auditory evoked potentials (AEPs) from a personalized earpiece was introduced. Initial investigations show that well established AEPs, such as ASSR and P1-N1-P2 complex can be observed from ear-EEG...... recordings [2, 3], implying a possible application for ear-EEG in audiometric characterization of hearing loss. Since the Ear-EEG method provides a discrete and non-invasive way of measuring neural signals and can be integrated into hearing aids, it has great potential for use in everyday 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. The objective of this study is to investigate the application of ear-EEG in objective audiometry....

  13. EEG Derived Neuronal Dynamics during Meditation: Progress and Challenges

    OpenAIRE

    Chamandeep Kaur; Preeti Singh

    2015-01-01

    Meditation advances positivity but how these behavioral and psychological changes are brought can be explained by understanding neurophysiological effects of meditation. In this paper, a broad spectrum of neural mechanics under a variety of meditation styles has been reviewed. The overall aim of this study is to review existing scientific studies and future challenges on meditation effects based on changing EEG brainwave patterns. Albeit the existing researches evidenced the hold for efficacy...

  14. Using the nonlinear control of anaesthesia-induced hypersensitivity of EEG at burst suppression level to test the effects of radiofrequency radiation on brain function

    OpenAIRE

    Lipping, Tarmo; Rorarius, Michael; Jäntti, Ville; Annala, Kari; Mennander, Ari; Ferenets, Rain; Toivonen, Tommi; Toivo, Tim; Värri, Alpo; Korpinen, Leena

    2009-01-01

    Background In this study, investigating the effects of mobile phone radiation on test animals, eleven pigs were anaesthetised to the level where burst-suppression pattern appears in the electroencephalogram (EEG). At this level of anaesthesia both human subjects and animals show high sensitivity to external stimuli which produce EEG bursts during suppression. The burst-suppression phenomenon represents a nonlinear control system, where low-amplitude EEG abruptly switches to very high amplitud...

  15. Concordance and discordance between PET images and foci of scalp EEG

    International Nuclear Information System (INIS)

    Epileptic foci were determined by scalp EEG and positron emission tomography (PET) with fluorine 18 in 22 children with partial epilepsy (PE, n=13) and Lennoxy-Gastaut syndrome (LGS, n=9). The patients ranged in age from 6 to 18 years. The pattern of hypometabolism was classified into the following 4 categories: non-focal, localized, hemispheric, and diffuse. In the group of PE patients, 11 showed a relative agreement between the EEG foci and region of a low cerebral metabolic rate for glucose (CMRglc) determined by PET. A decreased CMRglc was matched with the EEG foci in 4 patients with LGS. A tendency of a higher relationship between the EEG foci and PET images was significant in PE than LGS. (N.K.)

  16. 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.

  17. Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes.

    Science.gov (United States)

    Grova, C; Daunizeau, J; Kobayashi, E; Bagshaw, A P; Lina, J-M; Dubeau, F; Gotman, J

    2008-01-15

    In order to analyze where epileptic spikes are generated, we assessed the level of concordance between EEG source localization using distributed source models and simultaneous EEG-fMRI which measures the hemodynamic correlates of EEG activity. Data to be compared were first estimated on the same cortical surface and two comparison strategies were used: (1) MEM-concordance: a comparison between EEG sources localized with the Maximum Entropy on the Mean (MEM) method and fMRI clusters showing a significant hemodynamic response. Minimal geodesic distances between local extrema and overlap measurements between spatial extents of EEG sources and fMRI clusters were used to quantify MEM-concordance. (2) fMRI-relevance: estimation of the fMRI-relevance index alpha quantifying if sources located in an fMRI cluster could explain some scalp EEG data, when this fMRI cluster was used to constrain the EEG inverse problem. Combining MEM-concordance and fMRI-relevance (alpha) indexes, each fMRI cluster showing a significant hemodynamic response (pEEG data. Nine patients with focal epilepsy who underwent EEG-fMRI examination followed by EEG recording outside the scanner were selected for this study. Among the 62 fMRI clusters analyzed (7 patients), 15 (24%) found in 6 patients were highly concordant with EEG according to both MEM-concordance and fMRI-relevance. EEG concordance was found for 5 clusters (8%) according to alpha only, suggesting sources missed by the MEM. No concordance with EEG was found for 30 clusters (48%) and for 10 clusters (16%) alpha was significantly negative, suggesting EEG-fMRI discordance. We proposed two complementary strategies to assess and classify EEG-fMRI concordance. We showed that for most patients, part of the hemodynamic response to spikes was highly concordant with EEG sources, whereas other fMRI clusters in response to the same spikes were found distant or discordant with EEG sources. PMID:17945511

  18. The Detection of Hidden Periodicities in EEG

    Institute of Scientific and Technical Information of China (English)

    YOU Rong-yi

    2007-01-01

    Abstract.A novel method for detecting the hidden periodicities in EEG is proposed.By using a width-varying window in the time domain, the structure function of EEG time series is defined. It is found that the minima of the structure function, within a finite window width, can be found regularly, which indicate that there are some certain periodicities associated with EEG time series. Based on the structure function, a further quadratic structure function of EEG time series is defined. By quadratic structure function, it can be seen that the periodicities of EEG become more obvious, moreover, the period of EEG can be determined accurately. These results will be meaningful for studying the neuron activity inside the human brain.

  19. Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier

    OpenAIRE

    Omerhodzic, Ibrahim; Avdakovic, Samir; Nuhanovic, Amir; Dizdarevic, Kemal

    2013-01-01

    In this paper, a wavelet-based neural network (WNN) classifier for recognizing EEG signals is implemented and tested under three sets EEG signals (healthy subjects, patients with epilepsy and patients with epileptic syndrome during the seizure). First, the Discrete Wavelet Transform (DWT) with the Multi-Resolution Analysis (MRA) is applied to decompose EEG signal at resolution levels of the components of the EEG signal (delta, theta, alpha, beta and gamma) and the Parsevals theorem are employ...

  20. Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes

    OpenAIRE

    Grova, C.; Daunizeau, J.; Kobayashi, E.; Bagshaw, A. P.; Lina, J-M.; Dubeau, F.; Gotman, J.

    2007-01-01

    In order to analyze where epileptic spikes are generated, we assessed the level of concordance between EEG source localization using distributed source models and simultaneous EEG-fMRI which measures the hemodynamic correlates of EEG activity. Data to be compared were first estimated on the same cortical surface and two comparison strategies were used: (1) MEM-concordance: a comparison between EEG sources localized with the Maximum Entropy on the Mean (MEM) method and fMRI clusters showing a ...

  1. Behavioural and EEG effects of chronic rapamycin treatment in a mouse model of tuberous sclerosis complex.

    Science.gov (United States)

    Cambiaghi, Marco; Cursi, Marco; Magri, Laura; Castoldi, Valerio; Comi, Giancarlo; Minicucci, Fabio; Galli, Rossella; Leocani, Letizia

    2013-04-01

    Tuberous Sclerosis Complex (TSC) is a multisystem genetic disorder caused by mutation in either Tsc1 or Tsc2 genes that leads to the hyper activation of the mTOR pathway, a key signalling pathway for synaptic plasticity. TSC is characterized by benign tumors arising in different organs and severe neuropsychiatric symptoms, such as epilepsy, intellectual disability, autism, anxiety and depressive behaviour. Rapamycin is a potent inhibitor of mTOR and its efficacy in treating epilepsy and neurological symptoms remains elusive. In a mouse model in which Tsc1 has been deleted in embryonic telencephalic neural stem cells, we analyzed anxiety- and depression-like behaviour by elevated-plus maze (EPM), open-field test (OFT), forced-swim test (FST) and tail-suspension test (TST), after chronic administration of rapamycin. In addition, spectral analysis of background EEG was performed. Rapamycin-treated mutant mice displayed a reduction in anxiety- and depression-like phenotype, as shown by the EPM/OFT and FST, respectively. These results were inline with EEG power spectra outcomes. The same effects of rapamycin were observed in wild-type mice. Notably, in heterozygous animals we did not observe any EEG and/or behavioural variation after rapamycin treatment. Together these results suggest that both TSC1 deletion and chronic rapamycin treatment might have a role in modulating behaviour and brain activity, and point out to the potential usefulness of background EEG analysis in tracking brain dysfunction in parallel with behavioural testing. PMID:23159330

  2. Radiological and histopathological study of benign tumors of the mandible

    International Nuclear Information System (INIS)

    Benign tumors of the mandible are uncommon lesions. That were classified into odontogenic tumors and nonodontogenic tumors. Author reviewed the radiological evaluation and pathological microscopic finding from 33 benign tumors of the mandible that were confirmed by the biopsy during last 10 years in Dental Clinics, Ewha Womans University Hospital and Seoul National University Dental Hospital. Following results were obtained; 1. Benign tumors of the mandible were classified into odontogenic (66.7%) and non-odontogenic tumors (33.3%). 2. The range of the age distribution was between 6 years and 67 years old. The commonest age group was the second decade (39.4%). 3. There was no difference to sex distribution. 4. The most frequent location was the body of the mandible (42.4%). 5. Radiographic findings were relatively characteristic in odontogenic tumors rather than non-odontogenic tumors. 1) Radiolucent cystic lesions-ameloblastoma, odontogenic myxoma, odontogenic fibtoma, aneurysmal bone cyst and neurofibroma. 2) Radiopaque mass lesions-odontoma, cementoma and osteoma. 3) Mixed patterns-ossifying fibroma, cementifying fibroma, calcifying odontogenic epithelial tumor and hemangioma. It was concluded that the radiographic examination was of value to diagnose the benign tumors of the mandible in symptomless patients

  3. Radiological and histopathological study of benign tumors of the mandible

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Seon Young; Baek, Seung Yon; Choi, Kyung Hee; Suh, Jeung Soo; Rhee, Chung Sik; Kim, Hee Seup [Ewha Womans University College of Medicine, Seoul (Korea, Republic of)

    1984-06-15

    Benign tumors of the mandible are uncommon lesions. That were classified into odontogenic tumors and nonodontogenic tumors. Author reviewed the radiological evaluation and pathological microscopic finding from 33 benign tumors of the mandible that were confirmed by the biopsy during last 10 years in Dental Clinics, Ewha Womans University Hospital and Seoul National University Dental Hospital. Following results were obtained; 1. Benign tumors of the mandible were classified into odontogenic (66.7%) and non-odontogenic tumors (33.3%). 2. The range of the age distribution was between 6 years and 67 years old. The commonest age group was the second decade (39.4%). 3. There was no difference to sex distribution. 4. The most frequent location was the body of the mandible (42.4%). 5. Radiographic findings were relatively characteristic in odontogenic tumors rather than non-odontogenic tumors. 1) Radiolucent cystic lesions-ameloblastoma, odontogenic myxoma, odontogenic fibtoma, aneurysmal bone cyst and neurofibroma. 2) Radiopaque mass lesions-odontoma, cementoma and osteoma. 3) Mixed patterns-ossifying fibroma, cementifying fibroma, calcifying odontogenic epithelial tumor and hemangioma. It was concluded that the radiographic examination was of value to diagnose the benign tumors of the mandible in symptomless patients.

  4. Independent EEG sources are dipolar.

    Directory of Open Access Journals (Sweden)

    Arnaud Delorme

    Full Text Available 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 and other electrophysiological recordings. We compared results of decomposing thirteen 71-channel human scalp EEG datasets by 22 ICA and BSS algorithms, assessing the pairwise mutual information (PMI in scalp channel pairs, the remaining PMI in component pairs, the overall mutual information reduction (MIR effected by each decomposition, and decomposition 'dipolarity' defined as the number of component scalp maps matching the projection of a single equivalent dipole with less than a given residual variance. The least well-performing algorithm was principal component analysis (PCA; best performing were AMICA and other likelihood/mutual information based ICA methods. Though these and other commonly-used decomposition methods returned many similar components, across 18 ICA/BSS algorithms mean dipolarity varied linearly with both MIR and with PMI remaining between the resulting component time courses, a result compatible with an interpretation of many maximally independent EEG components as being volume-conducted projections of partially-synchronous local cortical field activity within single compact cortical domains. To encourage further method comparisons, the data and software used to prepare the results have been made available (http://sccn.ucsd.edu/wiki/BSSComparison.

  5. Preterm EEG: A Multimodal Neurophysiological Protocol

    OpenAIRE

    Stjerna, Susanna; Voipio, Juha; Metsäranta, Marjo; Kaila, Kai; Vanhatalo, Sampsa

    2012-01-01

    Since its introduction in early 1950s, electroencephalography (EEG) has been widely used in the neonatal intensive care units (NICU) for assessment and monitoring of brain function in preterm and term babies. Most common indications are the diagnosis of epileptic seizures, assessment of brain maturity, and recovery from hypoxic-ischemic events. EEG recording techniques and the understanding of neonatal EEG signals have dramatically improved, but these advances have been slow to penetrate thro...

  6. 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....

  7. Database for EEG/ERP experiments

    OpenAIRE

    Petr Jezek

    2009-01-01

    Our research group uses various commercial recording hardware equipment and software tools during our EEG/EEG experiments. We have encountered substantive problems with efficient organization of recorded data and collected metadata. In the first instance we searched for an existing software solution. However, these existing solutions have several important drawbacks (e.g. they are only first prototypes; they have performance problems; they are general and do not support specifics of EEG/ERP r...

  8. Joint optimization of algorithmic suites for EEG analysis.

    Science.gov (United States)

    Santana, Eder; Brockmeier, Austin J; Principe, Jose C

    2014-01-01

    Electroencephalogram (EEG) data analysis algorithms consist of multiple processing steps each with a number of free parameters. A joint optimization methodology can be used as a wrapper to fine-tune these parameters for the patient or application. This approach is inspired by deep learning neural network models, but differs because the processing layers for EEG are heterogeneous with different approaches used for processing space and time. Nonetheless, we treat the processing stages as a neural network and apply backpropagation to jointly optimize the parameters. This approach outperforms previous results on the BCI Competition II - dataset IV; additionally, it outperforms the common spatial patterns (CSP) algorithm on the BCI Competition III dataset IV. In addition, the optimized parameters in the architecture are still interpretable. PMID:25570621

  9. Benign Episodic Unilateral Mydriasis (Case Report

    Directory of Open Access Journals (Sweden)

    Eylem Değirmenci

    2012-09-01

    Full Text Available Benign episodic unilateral mydriasis is a descriptive situation with recurrent unilateral mydriasis in adult people especially women with migraine. A 20 year-old man who presented with paroxysmal left pupil mydriasis and diagnosed as benign episodic unilateral mydriasis after the examinations to exclude the other reasons of anisocoria was reported. In such cases to keep in mind the benign causes of mydriasis would be helpful to avoid unnecessary invasive tests.

  10. Benign Papules and Nodules of Oral Mucosa

    Directory of Open Access Journals (Sweden)

    Mehmet Salih Gürel

    2012-12-01

    Full Text Available This article reviews some of the more common benign oral papules and nodules of oral mucosa with emphasis on their etiology, epidemiology, clinical presentation, histopathology, and treatment. These lesions include mucocele, traumatic fibroma, epulis, pyogenic granuloma, oral papilloma, oral warts, lymphangioma, hemangioma, lipoma, oral nevi and some soft tissue benign tumors. These benign lesions must be separated clinically and histologically from precancerous and malign neoplastic lesions. Accurate clinico-pathological diagnosis is mandatory to insure appropriate therapy.

  11. 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.

  12. Wavelet Variance Analysis of EEG Based on Window Function

    Institute of Scientific and Technical Information of China (English)

    ZHENG Yuan-zhuang; YOU Rong-yi

    2014-01-01

    A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram (EEG).The ex-prienmental results show that the wavelet energy of epileptic EEGs are more discrete than normal EEGs, and the variation of wavelet variance is different between epileptic and normal EEGs with the increase of time-window width. Furthermore, it is found that the wavelet subband entropy (WSE) of the epileptic EEGs are lower than the normal EEGs.

  13. Musculoskeletal adipose tumors of the extremities : benign vs malignancy in MR imaging

    International Nuclear Information System (INIS)

    The purpose of this study was to evaluate the MR findings of benign and malignant musculoskeletal adipose tumors and to determine the points of difference between these two types. This study involved 41 histopathologically proven cases; 26 were benign lipoma and 15 were liposarcoma. T1- and T2-weighted images were obtained in all cases and enhancement study was performed in 15 cases of benign lipoma and 14 of liposarcoma. To determine MR findings and possible differences between the two groups, we retrospectively analyzed size, location, margin, degree of signal intensity, homogeneity, enhancement pattern and internal septa, as seen on MR images. Homogeneity of signal intensity, enhancing pattern and internal septa might be useful MR findings for the differential diagnosis of benign lipoma and liposarcoma. (author). 18 refs., 4 figs

  14. Benign breast lesions detected by positron emission tomography-computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Benveniste, Ana P., E-mail: apbenveniste@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Yang, Wei, E-mail: wyang@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Benveniste, Marcelo F., E-mail: mfbenveniste@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Mawlawi, Osama R., E-mail: omawlawi@mdanderson.org [Department of imaging physics, The University of Texas MD Anderson Cancer Center, Houston, TX (United States); Marom, Edith M., E-mail: emarom@mdanderson.org [Department of Diagnostic Radiology,The University of Texas MD Anderson Cancer Center, Houston, TX (United States)

    2014-06-15

    {sup 18}F-fluorodeoxyglucose positron emission computed tomography (FDG PET-CT) is widely used in the initial staging and response evaluation of patients with malignancy. This review describes a spectrum of benign breast findings incidentally detected by FDG PET-CT at staging that may be misinterpreted as malignancy. We describe the pattern of distribution and intensity of FDG uptake in a spectrum of benign breast diseases with their corresponding typical morphological imaging characteristics to help the nuclear medicine physician and/or general radiologist identify benign lesions, avoiding unnecessary breast imaging work-up and biopsies.

  15. Benign paroxysmal torticollis in infancy

    Directory of Open Access Journals (Sweden)

    Dimitrijević Lidija

    2006-01-01

    Full Text Available Background. Benign paroxysmal torticollis (BPT is an episodic functional disorder of unknown etiology, characterized by the periods of torticollic posturing of the head, that occurs in the early months of life in healthy children. Case report. We reported two patients with BPT. In the first patient the symptoms were observed at the age of day 20, and disappeared at the age of 3 years. There were 10 episodes, of which 2 were followed by vomiting, pallor, irritability and the abnormal trunk posture. In the second patient, a 12-month-old girl, BPT started from day 15. She had 4 episodes followed by vomiting in the first year. Both girls had the normal psychomotor development. All diagnostical tests were normal. Conclusion. The recognition of BPT, as well as its clinical course may help to avoid not only unnecessary tests and the treatment, but also the anxiety of the parents.

  16. Management of Benign Prostatic Hyperplasia.

    Science.gov (United States)

    Kim, Eric H; Larson, Jeffrey A; Andriole, Gerald L

    2016-01-01

    Benign prostatic hyperplasia (BPH) and associated lower urinary tract symptoms (LUTS) commonly affect older men. Age-related changes associated with metabolic disturbances, changes in hormone balance, and chronic inflammation may cause BPH development. The diagnosis of BPH hinges on a thorough medical history and focused physical examination, with attention to other conditions that may be causing LUTS. Digital rectal examination and urinalysis should be performed. Other testing may be considered depending on presentation of symptoms, including prostate-specific antigen, serum creatinine, urine cytology, imaging, cystourethroscopy, post-void residual, and pressure-flow studies. Many medical and surgical treatment options exist. Surgery should be reserved for patients who either have failed medical management or have complications from BPH, such as recurrent urinary tract infections, refractory urinary retention, bladder stones, or renal insufficiency as a result of obstructive uropathy. PMID:26331999

  17. Towards decoding of functional movements from the same limb using EEG.

    Science.gov (United States)

    Shiman, Farid; Irastorza-Landa, Nerea; Sarasola-Sanz, Andrea; Spuler, Martin; Birbaumer, Niels; Ramos-Murguialday, Ander

    2015-08-01

    In recent years, there has been an increasing interest in using electroencephalographic (EEG) activity to close the loop between brain oscillations and movement to induce functional motor rehabilitation. Rehabilitation robots or exoskeletons have been controlled using EEG activity. However, all studies have used a 2-class or one-dimensional decoding scheme. In this study we investigated EEG decoding of 5 functional movements of the same limb towards an online scenario. Six healthy participants performed a three-dimensional center-out reaching task based on direction movements (four directions and rest) wearing a 32-channel EEG cap. A BCI design based on multiclass extensions of Spectrally Weighted Common Spatial Patterns (Spec-CSP) and a linear discriminant analysis (LDA) classifier was developed and tested offline. The decoding accuracy was 5-fold cross-validated. A decoding accuracy of 39.5% on average for all the six subjects was obtained (chance level being 20%). The results of the current study demonstrate multiple functional movements decoding (significantly higher than chance level) from the same limb using EEG data. This study represents first steps towards a same limb multi degree of freedom (DOF) online EEG based BCI for motor restoration. PMID:26736659

  18. [Individual typological features of EEG response in the sportsman to acute hypoxia].

    Science.gov (United States)

    Balioz, N V; Krivoshchekov, S G

    2012-01-01

    The paper investigated variability of individual EEG parametres: frequency of the maximum peak, width of a range and depth of reaction desynchronization (reduction alpha-rhythm of EEG at opening of eyes) in slowly increasing hypoxia from 20.9% to 10%-s' O2 of the sportsman with various types of physical activity and features of temperament. There were investigated 24 first-class athletes (11 swimmers, 13 skiers) aged 18-26 years. It is shown that dynamics of EEG rhythms during hypoxia, unlike normoxia, characterised by instability of spectral structure and phase during time of hypoxia test. It is established, that individual typological features (typology of nervous system) influence EEG response during hypoxic test. The negative relations between a psychological construct "endurance" for questionnaire (FCB-Ti) and feature alpha-rhythm EEG during hypoxia test are shown. The type of physical training and re-structuring pattern of breath (phenotypic adaptation) modulates sensitivity of brain structures to hypoxia which is reflected in dynamics alpha-rhythm of EEG in hypoxic conditions. PMID:23101237

  19. TVAR modeling of EEG to detect audio distraction during simulated driving

    Science.gov (United States)

    Dahal, Nabaraj; (Nanda Nandagopal, D.; Cocks, Bernadine; Vijayalakshmi, Ramasamy; Dasari, Naga; Gaertner, Paul

    2014-06-01

    Objective. The objective of our current study was to look for the EEG correlates that can reveal the engaged state of the brain while undertaking cognitive tasks. Specifically, we aimed to identify EEG features that could detect audio distraction during simulated driving. Approach. Time varying autoregressive (TVAR) analysis using Kalman smoother was carried out on short time epochs of EEG data collected from participants as they undertook two simulated driving tasks. TVAR coefficients were then used to construct all pole model enabling the identification of EEG features that could differentiate normal driving from audio distracted driving. Main results. Pole analysis of the TVAR model led to the visualization of event related synchronization/desynchronization (ERS/ERD) patterns in the form of pole displacements in pole plots of the temporal EEG channels in the z plane enabling the differentiation of the two driving conditions. ERS in the EEG data has been demonstrated during audio distraction as an associated phenomenon. Significance. Visualizing the ERD/ERS phenomenon in terms of pole displacement is a novel approach. Although ERS/ERD has previously been demonstrated as reliable when applied to motor related tasks, it is believed to be the first time that it has been applied to investigate human cognitive phenomena such as attention and distraction. Results confirmed that distracted/non-distracted driving states can be identified using this approach supporting its applicability to cognition research.

  20. Combined MRI-EEG techniques for correlation of anatomy and function in human somatosensory cortex

    Science.gov (United States)

    Boyle, James P.; Kelly, Edward F.

    1994-05-01

    Recent advances in high-resolution EEG imaging methods have made it advantageous to decrease inter-electrode distance to approximately 1 - 2 cm. To take full advantage of this increased recording density, it has become imperative to consider inter-subject anatomical variability and even intra-subject anatomical asymmetry. The present study used anatomical information from MRI to augment functional data obtained through EEG. Specifically, acrylic helmets made for each subject and normally used during EEG were utilized to orient NMR sample tubes filled with a marker medium (H2O(DOT)Cu2SO4) radially from the scalp at selected EEG recording sites during MRI. Using the software package AVS, the MRI data could then be volumetrically 3-D rendered, 3-D isosurface rendered, or arbitrarily sliced. The tubes appeared in the 3-D renderings as pointers from recording sites to underlying cortical anatomy. Our task was simplified by our focus on a limited area of the cortex. The renderings provide subject-specific anatomical templates for mapping of EEG topographic patterns and clearly reveal individual variations of cortical surface topography that are usually unaccounted for in EEG analysis.

  1. Preterm EEG: a multimodal neurophysiological protocol.

    Science.gov (United States)

    Stjerna, Susanna; Voipio, Juha; Metsäranta, Marjo; Kaila, Kai; Vanhatalo, Sampsa

    2012-01-01

    Since its introduction in early 1950s, electroencephalography (EEG) has been widely used in the neonatal intensive care units (NICU) for assessment and monitoring of brain function in preterm and term babies. Most common indications are the diagnosis of epileptic seizures, assessment of brain maturity, and recovery from hypoxic-ischemic events. EEG recording techniques and the understanding of neonatal EEG signals have dramatically improved, but these advances have been slow to penetrate through the clinical traditions. The aim of this presentation is to bring theory and practice of advanced EEG recording available for neonatal units. In the theoretical part, we will present animations to illustrate how a preterm brain gives rise to spontaneous and evoked EEG activities, both of which are unique to this developmental phase, as well as crucial for a proper brain maturation. Recent animal work has shown that the structural brain development is clearly reflected in early EEG activity. Most important structures in this regard are the growing long range connections and the transient cortical structure, subplate. Sensory stimuli in a preterm baby will generate responses that are seen at a single trial level, and they have underpinnings in the subplate-cortex interaction. This brings neonatal EEG readily into a multimodal study, where EEG is not only recording cortical function, but it also tests subplate function via different sensory modalities. Finally, introduction of clinically suitable dense array EEG caps, as well as amplifiers capable of recording low frequencies, have disclosed multitude of brain activities that have as yet been overlooked. In the practical part of this video, we show how a multimodal, dense array EEG study is performed in neonatal intensive care unit from a preterm baby in the incubator. The video demonstrates preparation of the baby and incubator, application of the EEG cap, and performance of the sensory stimulations. PMID:22371054

  2. Multisensory integration of dynamic emotional faces and voices: method for simultaneous EEG-fMRI measurements

    Directory of Open Access Journals (Sweden)

    Patrick David Schelenz

    2013-11-01

    Full Text Available Combined EEG-fMRI analysis correlates time courses from single electrodes or independent EEG components with the hemodynamic response. Implementing information from only one electrode, however, may miss relevant information from complex electrophysiological networks. Component based analysis, in turn, depends on a priori knowledge of the signal topography. Complex designs such as studies on multisensory integration of emotions investigate subtle differences in distributed networks based on only a few trials per condition. Thus, they require a sensitive and comprehensive approach which does not rely on a-priori knowledge about the underlying neural processes. In this pilot study, feasibility and sensitivity of source localization-driven analysis for EEG-fMRI was tested using a multisensory integration paradigm. Dynamic audiovisual stimuli consisting of emotional talking faces and pseudowords with emotional prosody were rated in a delayed response task. The trials comprised affectively congruent and incongruent displays.In addition to event-locked EEG and fMRI analyses, induced oscillatory EEG responses at estimated cortical sources and in specific temporo-spectral windows were correlated with the corresponding BOLD responses. EEG analysis showed high data quality with less than 10% trial rejection. In an early time window, alpha oscillations were suppressed in bilateral occipital cortices and fMRI analysis confirmed high data quality with reliable activation in auditory, visual and frontal areas to the presentation of multisensory stimuli. In line with previous studies, we obtained reliable correlation patterns for event locked occipital alpha suppression and BOLD signal time course.Our results suggest a valid methodological approach to investigate complex stimuli using the present source localization driven method for EEG-fMRI. This novel procedure may help to investigate combined EEG-fMRI data from novel complex paradigms with high spatial and

  3. Automatic seizure detection: going from sEEG to iEEG

    DEFF Research Database (Denmark)

    Henriksen, Jonas; Remvig, Line Sofie; Madsen, Rasmus Elsborg; Conradsen, Isa; Kjær, Troels Wesenberg; Thomsen, Carsten Eckhart; Sørensen, Helge Bjarup Dissing

    2010-01-01

    Several different algorithms have been proposed for automatic detection of epileptic seizures based on both scalp and intracranial electroencephalography (sEEG and iEEG). Which modality that renders the best result is hard to assess though. From 16 patients with focal epilepsy, at least 24 hours 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...... frequency containing lower levels in the WT were included in the analysis. We were able to obtain a sensitivity of 96.4% and a false detection rate (FDR) of 0.20/h. In general, when implementing an automatic seizure detection algorithm made for sEEG on iEEG, great improvement can be obtained if a frequency...

  4. Benign paroxysmal positional vertigo in Parkinson's disease

    NARCIS (Netherlands)

    Wensen, E. van; Leeuwen, R.B. van; Zaag-Loonen, H.J. van der; Masius-Olthof, S.; Bloem, B.R.

    2013-01-01

    BACKGROUND: Dizziness is a frequent complaint of patients with Parkinson's disease (PD), and orthostatic hypotension (OH) is often thought to be the cause. We studied whether benign paroxysmal positional vertigo (BPPV) could also be an explanation. AIM: To assess the prevalence of benign paroxysmal

  5. 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...... EEG activity using a distributed source model....

  6. MRI appearances of benign uterine disease

    International Nuclear Information System (INIS)

    Benign uterine disease is a common entity affecting women of all ages. Ultrasound has historically been the predominant imaging method used in the evaluation of benign gynaecological disease, magnetic resonance imaging (MRI) being reserved for use in the staging of malignant uterine and cervical disease. MRI is now increasingly used in the diagnosis of benign uterine disease as well as a tool for problem-solving in cases of diagnostic dilemma. It allows detailed assessment of benign conditions, such as endometrial lesions, leiomyomas, and adenomyosis, and can be helpful in the stratification of patients to different treatment modalities, including surgical resection, uterine artery embolization, and medical therapies. In this article, we review the MRI findings in the common benign uterine diseases

  7. Benign and pathological electrocardiographic changes in athletes.

    Science.gov (United States)

    Machado, Marino; Vaz Silva, Manuel

    2015-12-01

    Sudden cardiac death is the leading cause of death in athletes during sport. It is a tragic event that generates significant media attention and discussion throughout society as to whether everything possible had been done to prevent it. Regular physical exercise causes cardiac remodeling at both the mechanical and electrical level, known as athlete's heart, resulting in an electrocardiogram (ECG) considered abnormal compared with the ECGs of the general population. Some of these electrocardiographic changes are considered normal or physiological in athletes, while others suggest underlying cardiac disease with the potential to cause sudden cardiac death. There is thus an urgent need to define the electrocardiographic patterns that allow or prohibit participation in sports, and to differentiate them in terms of gender, ethnicity and age. The purpose of this review is to present the latest data on the electrocardiographic changes considered benign or pathological that are typically found in athletes and to critically analyze the most recent criteria for classifying ECGs in this population (the Seattle criteria), comparing them with previous guidelines and with the latest studies on the subject. This article also examines the question of including ECGs in pre-participation screening programs, the US and European approaches to the subject, and the most up-to-date data on the sensitivity, specificity and cost-effectiveness of the ECG in athletes. PMID:26643438

  8. Early postnatal EEG features of perinatal arterial ischaemic stroke with seizures.

    Directory of Open Access Journals (Sweden)

    Evonne Low

    Full Text Available Stroke is the second most common cause of seizures in term neonates and is associated with abnormal long-term neurodevelopmental outcome in some cases.To aid diagnosis earlier in the postnatal period, our aim was to describe the characteristic EEG patterns in term neonates with perinatal arterial ischaemic stroke (PAIS seizures.Retrospective observational study.Neonates >37 weeks born between 2003 and 2011 in two hospitals.Continuous multichannel video-EEG was used to analyze the background patterns and characteristics of seizures. Each EEG was assessed for continuity, symmetry, characteristic features and sleep cycling; morphology of electrographic seizures was also examined. Each seizure was categorized as electrographic-only or electroclinical; the percentage of seizure events for each seizure type was also summarized.Nine neonates with PAIS seizures and EEG monitoring were identified. While EEG continuity was present in all cases, the background pattern showed suppression over the infarcted side; this was quite marked (>50% amplitude reduction when the lesion was large. Characteristic unilateral bursts of theta activity with sharp or spike waves intermixed were seen in all cases. Sleep cycling was generally present but was more disturbed over the infarcted side. Seizures demonstrated a characteristic pattern; focal sharp waves/spike-polyspikes were seen at frequency of 1-2 Hz and phase reversal over the central region was common. Electrographic-only seizure events were more frequent compared to electroclinical seizure events (78 vs 22%.Focal electrographic and electroclinical seizures with ipsilateral suppression of the background activity and focal sharp waves are strong indicators of PAIS. Approximately 80% of seizure events were the result of clinically unsuspected seizures in neonates with PAIS. Prolonged and continuous multichannel video-EEG monitoring is advocated for adequate seizure surveillance.

  9. Methodological Conditions of Congruent Factors: A Comparison of EEG Frequency Structure Between Hemispheres.

    Science.gov (United States)

    Andresen, B; Stemmler, G; Thom, E; Irrgang, E

    1984-01-01

    A study was conducted to examine congruence relations of EEG frequency factors between hemispheres. The central questions were aimed at procedural details of the factoring process which have the greatest "destructive" influence on congruence of factor patterns. On the basis of serially-rotated oblique solutions and evaluative simple structure criteria, two methodological results are reported: (a) the original principal components of two lead placements show a marked departure from an ideal congruence pattern, but can be forced into high congruence beyond 0.90 for the first twelve components by orthogonal procrustes rotation; (b) after this matching of principal components the expected optimum of congruence is only achieved in rotated solutions showing an optimal simple structure in terms of the Index of Factorial Simplicity (Kaiser, 1974). Additionally, the study leads to two substantive electroencephalographic results; (c) the factorial frequency structure of spontaneous EEG from two homologous positions (C3, C4) of the hemispheres is highly congruent. Thus, an identical measurement rationale for EEG frequency bands can be justified in asymmetry research; (d) the spectral dimensions of the alpha region show good correspondence to a recently published synoptic model of factor analytically defined EEG bands (Andresen, Thom, Irrgang, & Stemmler, 1982). The weight system of the three alpha components in this model can be recommended for psychophysiologically oriented EEG research. PMID:26776065

  10. Neurobiological correlates of EMDR monitoring - an EEG study.

    Directory of Open Access Journals (Sweden)

    Marco Pagani

    Full Text Available BACKGROUND: Eye Movement Desensitization and Reprocessing (EMDR is a recognized first-line treatment for psychological trauma. However its neurobiological bases have yet to be fully disclosed. METHODS: Electroencephalography (EEG was used to fully monitor neuronal activation throughout EMDR sessions including the autobiographical script. Ten patients with major psychological trauma were investigated during their first EMDR session (T0 and during the last one performed after processing the index trauma (T1. Neuropsychological tests were administered at the same time. Comparisons were performed between EEGs of patients at T0 and T1 and between EEGs of patients and 10 controls who underwent the same EMDR procedure at T0. Connectivity analyses were carried out by lagged phase synchronization. RESULTS: During bilateral ocular stimulation (BS of EMDR sessions EEG showed a significantly higher activity on the orbito-frontal, prefrontal and anterior cingulate cortex in patients at T0 shifting towards left temporo-occipital regions at T1. A similar trend was found for autobiographical script with a higher firing in fronto-temporal limbic regions at T0 moving to right temporo-occipital cortex at T1. The comparisons between patients and controls confirmed the maximal activation in the limbic cortex of patients occurring before trauma processing. Connectivity analysis showed decreased pair-wise interactions between prefrontal and cingulate cortex during BS in patients as compared to controls and between fusiform gyrus and visual cortex during script listening in patients at T1 as compared to T0. These changes correlated significantly with those occurring in neuropsychological tests. CONCLUSIONS: The ground-breaking methodology enabled our study to image for the first time the specific activations associated with the therapeutic actions typical of EMDR protocol. The findings suggest that traumatic events are processed at cognitive level following successful

  11. EEG activity during the performance of complex mental problems.

    Science.gov (United States)

    Jausovec, N; Jausovec, K

    2000-04-01

    This study investigated differences in cognitive processes related to problem complexity. It was assumed that these differences would be reflected in respondents' EEG activity--spectral power and coherence. A second issue of the study was to compare differences between the lower (alpha(1) = 7.9-10.0 Hz), and upper alpha band (alpha(2) = 10.1-12.9 Hz). In the first experiment two well-defined problems with two levels of complexity were used. Only minor differences in EEG power and coherence measures related to problem complexity were observed. In the second experiment divergent production problems resembling tasks on creativity tests were compared with dialectic problems calling for creative solutions. Differences in EEG power measures were mainly related to the form of problem presentation (figural/verbal). In contrast, coherence was related to the level of creativity needed to solve a problem. Noticeable increased intra- and interhemispheric cooperation between mainly the far distant brain regions was observed in the EEG activity of respondents while solving the dialectic problems. These results are explained by the more intense involvement of the long cortico-cortical fiber system in creative thinking. Differences between the lower and upper alpha band were significant for the power and coherence measures. In Experiment 2, fewer differences were observed in power measures in the upper alpha band than in the lower alpha band. A reverse pattern was observed for the coherence measures. These results hint to a functional independence of the two alpha bands, however, they do not allow to draw firm conclusions about their functional meanings. The study showed that it is unlikely that individuals solve well- and ill-defined problems by employing similar cognitive strategies. PMID:10700625

  12. Nocturia and benign prostatic hyperplasia

    Directory of Open Access Journals (Sweden)

    Laketić Darko

    2008-01-01

    Full Text Available Background/Aim. Nocturia often occurs in patients with benign prostate hyperplasia (BPH. The aim of the study was to investigate the frequency of nocturia in patients with BPH. Nocturia and other factors associated with it were also investigated. Methods. Forty patients with the confirmed diagnosis of BPH were studied. Transurethral and transvesical prostatectomy were performed in all the patients. Symptoms were evaluated with the International Prostate Symptom Score before, as well as three and six months after the surgery. All the results were compared with the control group. Results. There was no statistically significant difference between the patients before and after the surgery regarding nocturia. There was, however, a statistically significant difference between the operated patients and the control group regarding nocturia, as well as a statistically significant correlation between noctruia and the age of the patients in both the investigated and the control group. A correlation also existed between nocturia and the prostatic size. Conclusion. There was no statistically significant improvement in symptoms of nocturia after the surgery. It is necessary to be very careful in decision making in patients with nonabsolute indiction for surgery and isolated bothersome symptom of nocturia. Age of a patient should also be considered in the evaluation of favorable result of the surgery because of a significant correlation between noctura and the age of a patient.

  13. EEG Based Brain Computer Interface

    Directory of Open Access Journals (Sweden)

    Syed M. Saddique

    2009-08-01

    Full Text Available Brain-Computer Interface (BCI has added a new value to efforts being made under human machine interfaces. It has not only introduced new dimensions in machine control but the researchers round the globe are still exploring the possible uses of such applications. BCIs have given a hope where alternative communication channels can be created for the persons having severe motor disabilities. This work is based upon utilizing the brain signals of a human being via scalp Electroencephalography (EEG to get the control of a robot’s navigation which can be visualized as controlling one’s surrounding environment without physical strain. In this work when a person thinks of a motor activity, it gets performed. The procedure includes acquisition and analysis of brain signals via EEG equipment, development of a classification system using AI techniques and propagating the subsequent control signals to Lego-robot via parallel port. This has been depicted in [1] as a generic block diagram.

  14. Cognitive and other neuropsychological profiles in children with newly diagnosed benign rolandic epilepsy

    Directory of Open Access Journals (Sweden)

    Soonhak Kwon

    2012-10-01

    Full Text Available &lt;B&gt;Purpose:&lt;/B&gt; Although benign rolandic epilepsy (BRE is a benign condition, it may be associated with a spectrum of behavioral, psychiatric, and cognitive disorders. This study aimed to assess the cognitive and other neuropsychological profiles of children with BRE. &lt;B&gt;Methods:&lt;/B&gt; In total, 23 children with BRE were consecutively recruited. All children underwent sleep electroencephalography (EEG and were assessed on a battery of comprehensive neuropsychological tests including the Korean versions of the Wechsler intelligence scale for children III, frontal executive neuropsychological test, rey complex figure test, Wisconsin card sorting test, attention deficit diagnostic scale, and child behavior checklist scale. &lt;B&gt;Results:&lt;/B&gt; The study subjects included 13 boys and 10 girls aged 9.0±1.6 years. Our subjects showed an average monthly seizure frequency of 0.9±0.7, and a majority of them had focal seizures (70%. The spike index (frequency/min was 4.1±5.3 (right and 13.1±15.9 (left. Of the 23 subjects, 9 showed frequent spikes (&gt;10/min on the EEG. The subjects had normal cognitive and frontal executive functions, memory, and other neuropsychological sub-domain scores, even though 8 children (35% showed some evidence of learning difficulties, attention deficits, and aggressive behavior. &lt;B&gt;Conclusion:&lt;/B&gt; Our data have limited predictive value; however, these data demonstrate that although BRE appears to be benign at the onset, children with BRE might develop cognitive, behavioral, and other psychiatric disorders during the active phase of epilepsy, and these problems may even outlast the BRE. Therefore, we recommend scrupulous follow-up for children with BRE.

  15. Correlation between Independent Components of scalp EEG and intra-cranial EEG (iEEG) time series

    OpenAIRE

    van der Loo, Elsa; Congedo, Marco; Plazier, Mark; Van De Heyning, Paul; De Ridder, Dirk

    2007-01-01

    19 scalp electrode (EEG) and 8 intra-cranial electrode (iEEG) are recorded simultaneously with a common reference. EEG data is subjected to independent component analysis (ICA) and localisation of components in grey matter is estimated by the sLORETA inverse solution. Correlation between the time series of two independent components and intra-cranial recordings is very high (computed over 23552 samples, max r = 0.8 and 0.67, respectively). One component is localized underneath the site of the...

  16. Diagnostic value of maspin in distinguishing adenocarcinoma from benign biliary epithelium on endoscopic bile duct biopsy.

    Science.gov (United States)

    Chen, Lihong; Huang, Kevin; Himmelfarb, Eric A; Zhai, Jing; Lai, Jin-Ping; Lin, Fan; Wang, Hanlin L

    2015-11-01

    Histopathologic distinction between benign and malignant epithelia on endoscopic bile duct biopsy can be extremely challenging due to small sample size, crush artifact, and a propensity for marked inflammatory and reactive changes after stent placement. Our previous studies have shown that the insulin-like growth factor II mRNA-binding protein 3, S100P, and the von Hippel-Lindau gene product (pVHL) can help the distinction. This study analyzed 134 endoscopic bile duct biopsy specimens (adenocarcinoma 45, atypical 31, and benign 58) by immunohistochemistry for the expression of maspin, a serine protease inhibitor. The results demonstrated that (1) maspin expression was more frequently detected in malignant than in benign biopsies; (2) malignant biopsies frequently showed diffuse, strong/intermediate, and combined nuclear/cytoplasmic staining patterns for maspin, which were much less commonly seen in benign biopsies; (3) the malignant staining patterns for maspin observed in atypical biopsies were consistent with follow-up data showing that 67% of these patients were subsequently diagnosed with adenocarcinoma; (4) a maspin+/S100P+/pVHL- staining profile was seen in 75% of malignant biopsies but in none of the benign cases. These observations demonstrate that maspin is a useful addition to the diagnostic immunohistochemical panel (S100P, pVHL, and insulin-like growth factor II mRNA-binding protein 3) to help distinguish malignant from benign epithelia on challenging bile duct biopsies. PMID:26362203

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

    DEFF Research Database (Denmark)

    Stahlhut, Carsten; Attias, Hagai T.; Sekihara, Kensuke; Wipf, David; Hansen, Lars Kai; Nagarajan, Srikantan S.

    -temporal inverse M/EEG models, the proposed model benefits of consisting of two source terms, namely, a spatiotemporal pattern term limiting the source configuration to a spatio-temporal subspace and a source correcting term to pick up source activity not covered by the spatio-temporal prior belief. Both...

  18. Comparison of Brain Activity during Drawing and Clay Sculpting: A Preliminary qEEG Study

    Science.gov (United States)

    Kruk, Kerry A.; Aravich, Paul F.; Deaver, Sarah P.; deBeus, Roger

    2014-01-01

    A preliminary experimental study examined brain wave frequency patterns of female participants (N = 14) engaged in two different art making conditions: clay sculpting and drawing. After controlling for nonspecific effects of movement, quantitative electroencephalographic (qEEG) recordings were made of the bilateral medial frontal cortex and…

  19. EEG based Autism Diagnosis Using Regularized Fisher Linear Discriminant Analysis

    Directory of Open Access Journals (Sweden)

    Mahmoud I. Kamel

    2012-04-01

    Full Text Available Diagnosis of autism is one of the difficult problems facing researchers. To reveal the discriminative pattern between autistic and normal children via electroencephalogram (EEG analysis is a big challenge. The feature extraction is averaged Fast Fourier Transform (FFT with the Regulated Fisher Linear Discriminant (RFLD classifier. Gaussinaty condition for the optimality of Regulated Fisher Linear Discriminant (RFLD has been achieved by a well-conditioned appropriate preprocessing of the data, as well as optimal shrinkage technique for the Lambda parameter. Winsorised Filtered Data gave the best result.

  20. 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.

  1. Dense Array EEG Source Estimation in Neocortical Epilepsy

    OpenAIRE

    MadokaYamazaki; DonTucker

    2013-01-01

    Rationale: Dense array EEG (dEEG) evenly covers the whole head surface with over 100 channels contributing to more accurate electrical source imaging due to the higher spatial and temporal resolution. Several studies have shown the clinical utility of dEEG in presurgical clinical evaluation of epilepsy. However validation studies measuring the accuracy of dEEG source imaging are still needed. This can be achieved through simultaneously recording both scalp dEEG with intracranial electrodes (i...

  2. Assessment of preconscious sucrose perception using EEG

    DEFF Research Database (Denmark)

    Rotvel, Camilla Arndal; Møller, Stine; Nielsen, Rene R.;

    The objective of the current study is to develop a methodology for food ingredient screening based on Electro-Encephalo-Graphy (EEG). EEG measures electrical activity in the central nervous system, allowing assessment of activity in the ascending gustatory pathway from the taste buds on the tongue...... stimulus. The EEG was recorded using a 64 electrode setup, and gustatory evoked potentials (GEP) were estimated by coherent averaging across all 60 stimulations for each concentration. Cortical source localization based on the GEP was performed using a low resolution electromagnetic tomography (LORETA...

  3. Spatiotemporal analysis of prepyriform, visual, auditory, and somesthetic surface EEGs in trained rabbits.

    Science.gov (United States)

    Barrie, J M; Freeman, W J; Lenhart, M D

    1996-07-01

    1. Spatial ensemble averages were computed for 64 traces of electroencephalograms (EEGs) simultaneously recorded from 8 x 8 arrays over the epidural surfaces of the prepyriform cortex (PPC) and visual, somatic, and auditory cortices. They revealed a common waveform across each array. Examination of the spatial amplitude modulation (AM) of the waveform revealed classifiable spatial pattern in short time segments. The AM patterns varied within trials after presentation of identical conditioned stimuli, and also between trials with differing stimuli. 2. PPC EEGs revealed strong correlates with the respiratory rhythm; neocortical EEGs did not. 3. Time ensemble averaging of the PPC EEG attenuated the oscillatory bursts, indicating that olfactory gamma oscillations (20-80 Hz) were not phase-locked to the times of stimulus delivery but instead to inhalations. Time ensemble averages of neocortical recordings across trials revealed average evoked potentials starting 30-50 ms after the arrival of the stimulus. 4. Average temporal fast Fourier transform (FFT) power spectral densities (PSDs) from pre- and poststimulus PPC EEG segments revealed a peak of gamma activity in olfactory bursts. 5. The logarithm of the average temporal FFT PSDs from pre- and poststimulus neocortical EEG segments, when plotted against log frequency, revealed 1/f-type spectra in both pre- and poststimulus segments for negative/aversive conditioned stimuli (CS-) and positive/rewarding conditioned stimuli (CS+). The alpha'- and beta'-coefficients from the regression of Eq. 2 onto the average PSDs were significantly different between pre- and poststimulus segments, owing to the evoked potentials, but not between CS- and CS+ stimulus segments. 6. Spatiotemporal patterns were invariant over all frequency bins in the 1/f domain (20-100 Hz). Spatiotemporal patterns in the 2- to 20-Hz domain progressively differed from the invariant patterns with decreasing frequency. 7. In the spatial frequency domain, the

  4. [Cytopathology of the breast--benign and malignant neoplastic conditions].

    Science.gov (United States)

    Moriki, T; Takahashi, T; Ueda, S; Wada, M; Ichien, M; Hashimoto, M

    1999-07-01

    Breast cancer is one of the most common malignancies in women and the incidence has been increasing. Cytology plays a very important role not only in the diagnosis of breast lesions, but also in keeping the benign-to-malignant biopsy ratio low, so that unnecessary surgery is not performed. A fundamental feature of a benign aspirate is the presence of a dual population of ductal epithelial cells (variable within limits, but cohesive and orderly) and myoepithelial cells (naked, bipolar nuclei). Several cytologic features must be assessed to make the diagnosis of malignancy, including high cellularity, cell dissociation, large nuclear and cell size, cell pleomorphism, intracytoplasmic lumens (containing mucin), irregular nuclear margin, coarse chromatinic pattern, prominent nucleoli, and the presence of abnormal mitoses. Other criteria of lesser importance include necrosis, absence of myoepithelial cells and intranuclear inclusions. However, breast carcinomas do not always show every feature of malignancy. The well-differentiated or low-grade carcinomas are often difficult to differentiate from benign cells. It may be helpful to consider the clinical and radiological findings. We reported here, typical neoplastic lesions of the breast by correlating cytological with histopathological features. PMID:10442036

  5. Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?

    OpenAIRE

    Bleichner, Martin G; Lundbeck, Micha; Selisky, Matthias; Minow, Falk; Jäger, Manuela; Emkes, Reiner; Debener, Stefan; De Vos, Maarten

    2015-01-01

    Electroencephalography (EEG) allows the study of the brain–behavior relationship in humans. Most of what we have learned with EEG was through observing the brain–behavior relationship under well-controlled laboratory conditions. However, by reducing “normal” behavior to a minimum the ecological validity of the results can be limited. Recent developments toward mobile EEG solutions allow to study the brain–behavior relationship outside the laboratory in more natural situations. Besides mobilit...

  6. Simultaneous EEG-fMRI : novel methods for EEG artefacts reduction at source

    OpenAIRE

    Chowdhury, Muhammad Enamul Hoque

    2014-01-01

    This thesis describes the development and application of novel techniques to reduce the EEG artefacts at source during the simultaneous acquisition of EEG and fMRI data. The work described in this thesis was carried out by the author in the Sir Peter Mansfield Magnetic Resonance Centre, School of Physics & Astronomy at the University of Nottingham, between October 2010 and January 2013. Large artefacts compromise EEG data quality during simultaneous fMRI. These artefact voltages pose heav...

  7. 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.

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

    OpenAIRE

    Forrest Sheng Bao; Xin Liu; Christina Zhang

    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 ...

  9. Time to First EEG Seizure During Continuous Video/EEG Telemetry

    OpenAIRE

    Hećimović, Hrvoje; Gilliam, Frank

    2005-01-01

    Correlation between time to first scalp EEG seizure during video/EEG telemetry and self-reported seizure frequency was determined in refractory epilepsy patients. Eighty two consecutive epilepsy patients were preoperatively evaluated, as part of a larger study, during their video/EEG monitoring at the Adult Epilepsy Center at Washington University. Self-reported seizure frequency, time to first seizure in the monitoring unit, and clinical variables of age, sex and seizure focus localization w...

  10. Asbestos-related benign pleural disease review

    International Nuclear Information System (INIS)

    Benign pleural disease is the commonest manifestation of asbestos exposure encountered by radiologists. Benign pleural thickening can appear as circumscribed parietal pleural plaques or as more diffuse thickening of the visceral pleura. Benign-asbestos induced pleural effusions are a significant and under-recognized manifestation of asbestos exposure with important sequelae, such as diffuse pleural thickening which may be associated with functional impairment and for which compensation may be sought. This review concentrates on the strengths and weaknesses of chest radiography and computed tomography for the detection and characterization of benign asbestos-related pleural disease and the relevance of imaging abnormalities to compensation and functional impairment. Peacock, C. (2000). Clinical Radiology 55, 422-432

  11. The early electroclinical manifestations of infantile spasms: A video EEG study

    Directory of Open Access Journals (Sweden)

    Mary Iype

    2016-01-01

    Full Text Available Purpose: Infantile spasms are described as flexor extensor and mixed; but more features of their semiology and ictal electroencephalography (EEG changes are sparse in the literature. The purpose of the study was to describe the clinical and ictal video-EEG characteristics of consecutive cases with infantile spasms and to try to find an association with the etiology. Materials and Methods: The clinical phenomenology and EEG characteristics on video-EEG were analyzed in 16 babies with infantile spasms. Results: A total of 869 spasms were reviewed. Nine (56.3% showed focal seizures at least once during the recording and 1 (6.3% had multifocal myoclonus in addition to the spasms. The duration of the cluster and interval between spasms was totally variable in all patients. Lateralizing phenomena were present in at least some of the spasms in all patients. Unilateral manual automatism in the form of holding the pinna was noted in three patients following the spasm. The ictal EEG activity in the majority (75% was the slow wave. Four (25% showed fast generalized spindle-like ictal discharges. Spikes, spike and wave activity, or electrodecremental pattern alone during the ictus was seen in none. On bivariate analysis, no factor noted on the video EEG had association with the etiology. Conclusion: Infantile spasms could be associated with focal and other seizures, has unique, non-uniform and variable semiology from patient to patient. The ictal EEG manifestation in the majority (75% of our patients was the slow wave transient with 25% showing generalized fast spindle-like activity.

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models

    CERN Document Server

    Jamal, Wasifa; Oprescu, Ioana-Anastasia; Maharatna, Koushik

    2014-01-01

    This paper proposes a stochastic model using the concept of Markov chains for the inter-state transitions of the millisecond order quasi-stable phase synchronized patterns or synchrostates, found in multi-channel Electroencephalogram (EEG) signals. First and second order transition probability matrices are estimated for Markov chain modelling from 100 trials of 128-channel EEG signals during two different face perception tasks. Prediction accuracies with such finite Markov chain models for synchrostate transition are also compared, under a data-partitioning based cross-validation scheme.

  14. Oral benign fibrous histiocytoma: two case reports

    OpenAIRE

    Menditti, Dardo; Laino, Luigi; Mezzogiorno, Antonio; Sava, Sara; Bianchi, Alexander; Caruso, Giovanni; Di Maio, Luigi; Baldi, Alfonso

    2009-01-01

    Fibrous histiocytoma is a benign soft tissue tumour arising as a fibrous mass everywhere in the human body. The involvement of the oral cavity is rare. We report two cases of benign fibrous histiocytoma that localized in the oral cavity. The clinical and histological features of the lesion are reported. Finally, a literature revision of this pathology at the level of the oral cavity is reported.

  15. Current treatment of benign biliary strictures

    OpenAIRE

    Costamagna, Guido; Boškoski, Ivo

    2013-01-01

    Endoscopy is a widely used approach for the treatment of benign biliary strictures. Most common benign biliary strictures amandable to endoscopic treatment are post-cholecystectomy, dominant biliary strictures due to primary sclerosing cholangitis, biliary anastomotic strictures occurring after liver transplantation, and common bile duct strictures due to chronic pancreatitis. Surgery is a valid option in cases of complete transection or ligation of the common bile duct, in selected patients ...

  16. Benign Lesions of The Vocal Fold

    Directory of Open Access Journals (Sweden)

    Ozgur Surmelioglu

    2013-02-01

    Full Text Available Benign lesions of vocal folds are common disorders. Fifty percent of patients who have sound complaints are found to have these lesions after endoscopic and stroboscopic examinations. Benign vocal fold diseases are primarily caused by vibratory trauma. However they may also occur as a result of viral infections and congenital causes. These lesions are often presented with the complaints of dysphonia. [Archives Medical Review Journal 2013; 22(1.000: 86-95

  17. Computed tomographic findings of benign retroperitoneal tumors

    Energy Technology Data Exchange (ETDEWEB)

    Matsuura, Takashi; Nakata, Hajime; Nakayama, Chikashi (Univ. of Occupational and Environmental Health School of Medicine, Kitakyushu, Fukuoka (Japan)); Nishitani, Hiroshi; Matsuura, Keiichi

    1983-07-01

    We have reviewed the computed tomographic (CT) findings of 8 cases of benign retroperitoneal tumors with histological proof. Two teratomas, two schwannomas, and one each of epidermoid cyst, simple cyst, bronchogenic cyst, and cystic lymphangioma were included. The most common CT appearance of these tumors was the solitary, round, well-demarcated, relatively low density mass. Capsule or calcification was demonstrated in some. CT is a highly valuable non-invasive examination method for a diagnosis of a benign retroperitoneal tumor.

  18. EEG correlates of emotions in dream narratives from typical young adults and individuals with autistic spectrum disorders.

    Science.gov (United States)

    Daoust, Anne-Marie; Lusignan, Félix-Antoine; Braun, Claude M J; Mottron, Laurent; Godbout, Roger

    2008-03-01

    The relationship between emotional dream content and Alpha and Beta REM sleep EEG activity was investigated in typical individuals and in Autistic Spectrum Disorders (ASD). Dream narratives of persons with ASD contained fewer emotional elements. In both groups, emotions correlated positively with slow Alpha (8.0-10.0 Hz) spectral power over parieto-occipital and left central regions, as well as with a right occipital EEG asymmetry. Slow Alpha activity in ASD individuals was lower over midline and parasagittal areas and higher over lateral areas compared to controls. Both groups displayed a right-biased slow Alpha activity for midparietal and occipital (significantly higher in control) sites. Results indicate that Alpha EEG activity may represent a neurophysiological substrate associated with emotional dream content. Distinctive Alpha EEG patterns and asymmetries suggest that dream generation implies different brain connectivity in ASD. PMID:18047484

  19. EEG alpha frequency correlates of burnout and depression: The role of gender.

    Science.gov (United States)

    Tement, Sara; Pahor, Anja; Jaušovec, Norbert

    2016-02-01

    EEG alpha frequency band biomarkers of depression are widely explored. Due to their trait-like features, they may help distinguish between depressive and burnout symptomatology, which is often referred to as "work-related depression". The present correlational study strived to examine whether individual alpha frequency (IAF), power, and coherence in the alpha band can provide evidence for establishing burnout as a separate diagnostic entity. Resting EEG (eyes closed) was recorded in 117 individuals (42 males). In addition, the participants filled-out questionnaires of burnout and depression. Regression analyses highlighted the differential value of IAF and power in predicting burnout and depression. IAF was significantly related to depressive symptomatology, whereas power was linked mostly to burnout. Moreover, seven out of twelve interactions between EEG indicators and gender were significant. Connectivity patterns were significant for depression displaying gender-related differences. The results offer tentative support for establishing burnout as a separate clinical syndrome. PMID:26631352

  20. 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...

  1. Intracranial EEG Connectivity Analysis and Result Imaging

    Czech Academy of Sciences Publication Activity Database

    Klimeš, Petr; Janeček, Jiří; Jurák, Pavel; Halámek, Josef; Chládek, Jan; Brázdil, M.

    2012-01-01

    Roč. 2, č. 4 (2012), s. 275-279. ISSN 2010-3638 Institutional support: RVO:68081731 Keywords : Connectivity * Correlation * Intracranial EEG * Signal Processing Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering

  2. Multi-Stage, Multi-Resolution Method for Automatic Characterization of Epileptic Spikes in EEG

    Directory of Open Access Journals (Sweden)

    Ganesan.M

    2010-06-01

    Full Text Available In this paper, a technique is proposed for the automatic detection of the spikes in long term 18 channel human electroencephalograms (EEG with less number of data set. The scheme for detecting epileptic and non epileptic spikes in EEG is based on a multi resolution, multi-level analysis and Artificial Neural Network(ANN approach. Wavelet Transform (WT is a powerful tool for signal compression, recognition, restoration and multi-resolutionanalysis of non-stationary signal. The signal on each EEG channel is decomposed into six sub bands using a non-decimated WT. Each sub band is analyzed by using a non-linear energy operator, in order to detect spikes. A parameter extraction stage extracts theparameters of the detected spikes that can be given as the input to ANN classifier. A robust system that combines multiple signal-processing methods in a multistage scheme, integratingwavelet transform and artificial neural network is proposed here. This system is experimented on a simulated EEG pattern waveform as well as with real patient data. The system is evaluated on testing data from 81 patients, totaling more than 800 hours of recordings.90.0% of the epileptic events were correctly detected and the detection rate of non epileptic events was 98.0%. We conclude that the proposed system has good performance in detecting epileptic form activities; further the multistage multiresolution approach is an appropriate way of automatic classification problems in EEG.

  3. 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.

  4. Diagnosis of benign and metastatic bone lesions on breast MRI in patients with breast cancer

    International Nuclear Information System (INIS)

    To differentiate between the MRI findings for benign bone lesion and metastasis detected by breast MRI in patients with breast cancer and to evaluate the conspicuity of bone lesions according to MR sequences. In 14 patients with 15 bone lesions, the MRI findings were statistically analyzed to differentiate between benign bone lesion and metastasis. We considered margin, signal intensity on T2-weighted image (T2WI) with spectral attenuated inversion recovery (SPAIR), enhancement, and patterns of bone lesions (focal mass, diffuse infiltration, and extraosseous soft tissue change), as well as the conspicuity of bone lesions in each MR sequence. There was a statistically significant difference in the frequency of a solitary focal mass pattern between benign bone lesion and metastasis (p = 0.044). The margin, signal intensity on T2WI with SPAIR, and enhancement were not significantly different between benign bone lesion and metastasis. Both T2WI with SPAIR and delayed phase of contrast enhanced MRI were superior to other sequences in terms of lesion conspicuity. A solitary focal mass pattern indicates a high probability of benign bone lesion on breast MRI in patients with breast cancer. Bone lesions tend to have greater conspicuity on T2WI with SPAIR and delayed phase image of contrast enhanced MRI, compared to results for other MR sequences.

  5. Diagnosis of benign and metastatic bone lesions on breast MRI in patients with breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Bo Bae; Hwang, Ji Young; Cha, Eun Suk [Dept. of Radiology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul (Korea, Republic of)

    2014-02-15

    To differentiate between the MRI findings for benign bone lesion and metastasis detected by breast MRI in patients with breast cancer and to evaluate the conspicuity of bone lesions according to MR sequences. In 14 patients with 15 bone lesions, the MRI findings were statistically analyzed to differentiate between benign bone lesion and metastasis. We considered margin, signal intensity on T2-weighted image (T2WI) with spectral attenuated inversion recovery (SPAIR), enhancement, and patterns of bone lesions (focal mass, diffuse infiltration, and extraosseous soft tissue change), as well as the conspicuity of bone lesions in each MR sequence. There was a statistically significant difference in the frequency of a solitary focal mass pattern between benign bone lesion and metastasis (p = 0.044). The margin, signal intensity on T2WI with SPAIR, and enhancement were not significantly different between benign bone lesion and metastasis. Both T2WI with SPAIR and delayed phase of contrast enhanced MRI were superior to other sequences in terms of lesion conspicuity. A solitary focal mass pattern indicates a high probability of benign bone lesion on breast MRI in patients with breast cancer. Bone lesions tend to have greater conspicuity on T2WI with SPAIR and delayed phase image of contrast enhanced MRI, compared to results for other MR sequences.

  6. Clinical characteristics of patients with benign nonlesional temporal lobe epilepsy

    Directory of Open Access Journals (Sweden)

    Kim J

    2016-07-01

    Full Text Available Jiyeon Kim,1 Seong Hoon Kim,2 Sung Chul Lim,2 Woojun Kim,2 Young-Min Shon3 1Department of Neurology, Korea University Ansan Hospital, College of Medicine, Korea University, Ansan, 2Department of Neurology, Catholic Neuroscience Institute, College of Medicine, The Catholic University of Korea, Seocho-gu, 3Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea Purpose: To evaluate the evolution of nonlesional temporal lobe epilepsy (TLE-NL in patients treated exclusively with antiepileptic drugs and to elucidate clinical phenotypes related to the prognosis of these patients.Methods: Clinical, radiological, and electroencephalographic (EEG findings in 84 patients with TLE-NL were reviewed. A good response group (GRG and a poor response group (PRG were defined if the duration of their seizure-free period was >1 year, or <1 year, respectively.Results: There were 46 (54.8% patients in the GRG and 38 (45.2% patients in the PRG. The number of antiepileptic drugs administered was significantly lower in the GRG than that in the PRG (1.3±0.8 vs 2.8±1.0, respectively; P<0.05. The GRG had a significantly older age of onset than the PRG and a lower occurrence of initial precipitating events, such as febrile seizures, central nervous system infection, and head trauma (P<0.05. The prevalence of EEG abnormality, presence of aura, generalized seizures, and automatism was less frequently observed in the GRG (P<0.05. Multivariate analysis showed that the presence of automatism and initial precipitating events were significantly associated with a poor prognosis (P<0.05.Conclusion: In contrast to the commonly assumed intractability of TLE, we found that more than 54% of patients with TLE-NL achieved a long seizure-free period. Older age at onset of TLE-NL was associated with a better prognosis. However, the presence of automatism and initial precipitating events were related to a poor prognosis. Future prospective

  7. Emotion Recognition in EEG : A neuroevolutionary approach

    OpenAIRE

    Kvaale, Stian Pedersen

    2012-01-01

    Ever since the invention of EEG have constant attempts been made to give meaning to the oscillating signal recorded. This has resulted in the ability to detect a wide range of different psychological and physiological phenomenon. The goal of this thesis is to be able to recognize different emotions in EEG by the use of a computer and artificial intelligence. Emotions are an especially interesting phenomenon because of the huge impact they have on humans on the daily basis. They constantly gui...

  8. Carbamazepine for acute psychosis with eeg abnormalities

    OpenAIRE

    Ivković Maja; Damjanović Aleksandar; Marinković Dragan; Paunović Vladimir R.

    2004-01-01

    Aim. To investigate the efficacy of carbamazepine as adjuvant drug therapy in acute paranoid psychosis with associated EEG abnormalities, compared to sole antipsychotic treatment. Methods. Eleven medication-naive patients diagnosed with acute paranoid psychosis with associated EEG abnormalities were divided into two treatment groups: sole fluphenazine group, with flexible dosing of 5-10 mg/day (n=6), and carbamazepine group (n=5) with the addition of carbamazepine (600 mg/day) to fluphenazine...

  9. Changes in EEG during Ultralong Running

    OpenAIRE

    Doppelmayr, M.; Sauseng, P.; Doppelmayr, H.; Mausz, I.

    2012-01-01

    There are only a few studies using human electroencephalograms (EEGs) to investigate bioelectrical changes in the brain during exercise (running or cycling). These studies report an increase in EEG alpha amplitude during and immediately after exercise. However, only exercises within a relatively short time interval of approximately 1 hour have been investigated. Thus, we focussed on long-lasting exercise and report three single case studies, performed on the same participant, during extended ...

  10. Periodic EEG complexes in infectious mononucleosis encephalitis.

    OpenAIRE

    Greenberg, D A; Weinkle, D J; Aminoff, M. J.

    1982-01-01

    The presence of periodic EEG complexes in patients with an acute viral encephalitis is generally held to suggest that infection is due to herpes simplex. We now report a patient with clinical and laboratory findings of infectious mononucleosis, and neurologic involvement manifested by lymphocyte meningitis, coma, seizures, aphasia, hemiparesis and hemianopsia. Serial EEGs showed periodic, predominantly left-sided slow wave complexes occurring every 4 to 5 seconds, which disappeared with clini...

  11. EEG case report: frontal lobe epilepsy

    OpenAIRE

    Pinho, J; Chorão, R.

    2011-01-01

    Paroxysmal motor disorders during sleep in children are a diagnostic challenge, and careful anamnesis, direct observation of the nocturnal episodes, preferentially with concomitant video- EEG recording, are essential for correct diagnosis and adequate treatment. We present the case of an 11 year-old-boy with frequent, predominantly nocturnal episodes, initially interpreted as generalized seizures, with no response to sodium valproate. Video-EEG during sleep showed a se...

  12. Insights from Intermittent Binocular Rivalry and EEG

    OpenAIRE

    Pitts, Michael A.; Juliane eBritz

    2011-01-01

    Novel stimulation and analytical approaches employed in EEG studies of ambiguous figures have recently been applied to binocular rivalry. The combination of intermittent stimulus presentation and EEG source imaging has begun to shed new light on the neural underpinnings of binocular rivalry. Here, we review the basics of the intermittent paradigm and highlight methodological issues important for interpreting previous results and designing future experiments. We then outline current analytical...

  13. Evolutionary optimization of classifiers and features for single-trial EEG Discrimination

    Directory of Open Access Journals (Sweden)

    Wessberg Johan

    2007-08-01

    Full Text Available Abstract Background State-of-the-art signal processing methods are known to detect information in single-trial event-related EEG data, a crucial aspect in development of real-time applications such as brain computer interfaces. This paper investigates one such novel approach, evaluating how individual classifier and feature subset tailoring affects classification of single-trial EEG finger movements. The discrete wavelet transform was used to extract signal features that were classified using linear regression and non-linear neural network models, which were trained and architecturally optimized with evolutionary algorithms. The input feature subsets were also allowed to evolve, thus performing feature selection in a wrapper fashion. Filter approaches were implemented as well by limiting the degree of optimization. Results Using only 10 features and 100 patterns, the non-linear wrapper approach achieved the highest validation classification accuracy (subject mean 75%, closely followed by the linear wrapper method (73.5%. The optimal features differed much between subjects, yet some physiologically plausible patterns were observed. Conclusion High degrees of classifier parameter, structure and feature subset tailoring on individual levels substantially increase single-trial EEG classification rates, an important consideration in areas where highly accurate detection rates are essential. Also, the presented method provides insight into the spatial characteristics of finger movement EEG patterns.

  14. Utility of PET-CT in differentiation between the malignant and benign lung lesions over than 2 cm

    International Nuclear Information System (INIS)

    To characterize 18F-FDG accumulation with PET-CT for differentiation between benign and malignant lung lesions over than 2cm. Sixty-three patients with pulmonary mass over than 2 cm on combined FDG PET-CT, histologically confirmed, were retrospectively reviewed. The peak SUV of mass was measured and the FDG uptake pattern was analyzed. FDG uptake pattern was divided into two groups as homogenous and inhomogeneous ones. Inhomogeneous group was further classified as ring like uptake, peripheral nodular uptake and homogenous uptake with peripheral nodular photon defect. It was included in the evaluation whether the peritumoral opacity without FDG accumulation around mass was or not. The statistical significance of differences among benign and malignant lesions was determined (unpaired T test). Forty one masses were histologically confirmed to be malignant, whereas twenty two were benign. On PET-CT, malignant lesions showed higher SUV levels (malignancy vs benign : 9.22 vs. 3.28, p<0.0001). Twenty six malignant masses (63%) were inhomogeneous in FDG distribution and 24 cases of them (92%) showed ring like uptake pattern. Otherwise, 6 benign masses, the peritumoral opacities without FDG uptake were present. In benign lesions, only two cases had these opacities. The peak SUV level is the most available method in differentiation between benign and malignant lesions over 2 cm in lungs. The inhomogenous FDG accumulation of the mass may support the mass to be malignant. Moreover, peritumoral opacity without FDG uptake may also support the malignancy

  15. Resting State EEG in Children With Learning Disabilities: An Independent Component Analysis Approach.

    Science.gov (United States)

    Jäncke, Lutz; Alahmadi, Nsreen

    2016-01-01

    In this study, the neurophysiological underpinnings of learning disabilities (LD) in children are examined using resting state EEG. We were particularly interested in the neurophysiological differences between children with learning disabilities not otherwise specified (LD-NOS), learning disabilities with verbal disabilities (LD-Verbal), and healthy control (HC) children. We applied 2 different approaches to examine the differences between the different groups. First, we calculated theta/beta and theta/alpha ratios in order to quantify the relationship between slow and fast EEG oscillations. Second, we used a recently developed method for analyzing spectral EEG, namely the group independent component analysis (gICA) model. Using these measures, we identified substantial differences between LD and HC children and between LD-NOS and LD-Verbal children in terms of their spectral EEG profiles. We obtained the following findings: (a) theta/beta and theta/alpha ratios were substantially larger in LD than in HC children, with no difference between LD-NOS and LD-Verbal children; (b) there was substantial slowing of EEG oscillations, especially for gICs located in frontal scalp positions, with LD-NOS children demonstrating the strongest slowing; (c) the estimated intracortical sources of these gICs were mostly located in brain areas involved in the control of executive functions, attention, planning, and language; and (d) the LD-Verbal children demonstrated substantial differences in EEG oscillations compared with LD-NOS children, and these differences were localized in language-related brain areas. The general pattern of atypical neurophysiological activation found in LD children suggests that they suffer from neurophysiological dysfunction in brain areas involved with the control of attention, executive functions, planning, and language functions. LD-Verbal children also demonstrate atypical activation, especially in language-related brain areas. These atypical

  16. Carbamazepine for acute psychosis with eeg abnormalities

    Directory of Open Access Journals (Sweden)

    Ivković Maja

    2004-01-01

    Full Text Available Aim. To investigate the efficacy of carbamazepine as adjuvant drug therapy in acute paranoid psychosis with associated EEG abnormalities, compared to sole antipsychotic treatment. Methods. Eleven medication-naive patients diagnosed with acute paranoid psychosis with associated EEG abnormalities were divided into two treatment groups: sole fluphenazine group, with flexible dosing of 5-10 mg/day (n=6, and carbamazepine group (n=5 with the addition of carbamazepine (600 mg/day to fluphenazine treatment. Clinical Global Impression (CGI, Brief Psychiatric Rating Scale (BPRS, Scale for the Assessment of Negative Symptoms (SANS, and EEG were assessed on the baseline and after 6 weeks of treatment. Paired and two-tailed t-tests were used for statistical significance. Results. All the patients showed significant improvement of mental state after 6 weeks of treatment with no significant differences in CGI, BPRS, and total SANS scores in relation to the therapy with carbamazepine. Nevertheless, after 6 weeks of the treatment, EEG findings were significantly better in carbamazepine group, in relation to the findings from the onset of the treatment, as well as in comparison to sole fluphenazine group. Conclusion. Although carbamazepine stabilized abnormal brain electrical activities it seemed that the associated EEG abnormalities were not significant for acute psychosis observed. These preliminary results suggested that there was no convincing evidence that carbamazepine was efficient as the augmentation of antipsychotic treatment for patients with both acute paranoid psychosis and EEG abnormalities.

  17. EEG slow-wave coherence changes in propofol-induced general anesthesia: Experiment and theory

    OpenAIRE

    D Alistair Steyn-Ross

    2014-01-01

    The electroencephalogram (EEG) patterns recorded during general anesthetic-induced coma are closely similar to those seen during slow-wave sleep, the deepest stage of natural sleep; both states show patterns dominated by large amplitude slow waves. Slow oscillations are believed to be important for memory consolidation during natural sleep. Tracking the emergence of slow-wave oscillations during transition to unconsciousness may help us to identify drug-induced alterations of the underlying...

  18. EEG slow-wave coherence changes in propofol-induced general anesthesia: experiment and theory

    OpenAIRE

    Wang, Kaier; Steyn-Ross, Moira L.; Steyn-Ross, D. A.; Wilson, Marcus T.; Sleigh, Jamie W

    2014-01-01

    The electroencephalogram (EEG) patterns recorded during general anesthetic-induced coma are closely similar to those seen during slow-wave sleep, the deepest stage of natural sleep; both states show patterns dominated by large amplitude slow waves. Slow oscillations are believed to be important for memory consolidation during natural sleep. Tracking the emergence of slow-wave oscillations during transition to unconsciousness may help us to identify drug-induced alterations of the underlying b...

  19. Imaging malignant and apparent malignant transformation of benign gynaecological disease

    Energy Technology Data Exchange (ETDEWEB)

    Lee, A.Y.; Poder, L.; Qayyum, A.; Wang, Z.J.; Yeh, B.M. [Department of Radiology, University of California San Francisco, San Francisco, CA (United States); Coakley, F.V., E-mail: Fergus.Coakley@radiology.ucsf.ed [Department of Radiology, University of California San Francisco, San Francisco, CA (United States)

    2010-12-15

    Common benign gynaecological diseases, such as leiomyoma, adenomyosis, endometriosis, and mature teratoma, rarely undergo malignant transformation. Benign transformations that may mimic malignancy include benign metastasizing leiomyoma, massive ovarian oedema, decidualization of endometrioma, and rupture of mature teratoma. The aim of this review is to provide a contemporary overview of imaging findings in malignant and apparent malignant transformation of benign gynaecological disease.

  20. Imaging malignant and apparent malignant transformation of benign gynaecological disease

    International Nuclear Information System (INIS)

    Common benign gynaecological diseases, such as leiomyoma, adenomyosis, endometriosis, and mature teratoma, rarely undergo malignant transformation. Benign transformations that may mimic malignancy include benign metastasizing leiomyoma, massive ovarian oedema, decidualization of endometrioma, and rupture of mature teratoma. The aim of this review is to provide a contemporary overview of imaging findings in malignant and apparent malignant transformation of benign gynaecological disease.

  1. EEG signatures of arm isometric exertions in preparation, planning and execution.

    Science.gov (United States)

    Nasseroleslami, Bahman; Lakany, Heba; Conway, Bernard A

    2014-04-15

    The electroencephalographic (EEG) activity patterns in humans during motor behaviour provide insight into normal motor control processes and for diagnostic and rehabilitation applications. While the patterns preceding brisk voluntary movements, and especially movement execution, are well described, there are few EEG studies that address the cortical activation patterns seen in isometric exertions and their planning. In this paper, we report on time and time-frequency EEG signatures in experiments in normal subjects (n=8), using multichannel EEG during motor preparation, planning and execution of directional centre-out arm isometric exertions performed at the wrist in the horizontal plane, in response to instruction-delay visual cues. Our observations suggest that isometric force exertions are accompanied by transient and sustained event-related potentials (ERP) and event-related (de-)synchronisations (ERD/ERS), comparable to those of a movement task. Furthermore, the ERPs and ERD/ERS are also observed during preparation and planning of the isometric task. Comparison of ear-lobe-referenced and surface Laplacian ERPs indicates the contribution of superficial sources in supplementary and pre-motor (FC(z)), parietal (CP(z)) and primary motor cortical areas (C₁ and FC₁) to ERPs (primarily negative peaks in frontal and positive peaks in parietal areas), but contribution of deep sources to sustained time-domain potentials (negativity in planning and positivity in execution). Transient and sustained ERD patterns in μ and β frequency bands of ear-lobe-referenced and surface Laplacian EEG indicate the contribution of both superficial and deep sources to ERD/ERS. As no physical displacement happens during the task, we can infer that the underlying mechanisms of motor-related ERPs and ERD/ERS patterns do not only depend on change in limb coordinate or muscle-length-dependent ascending sensory information and are primary generated by motor preparation, direction

  2. Benign multicystic peritoneal mesothelioma: a case report

    Directory of Open Access Journals (Sweden)

    Papapaulou Leonidas

    2010-11-01

    Full Text Available Abstract Introduction We report the case of a patient with a benign multicystic peritoneal mesothelioma and describe its appearance on computed tomography scans and ultrasonography, in correlation with gross clinical and pathological findings. Case presentation A 72-year-old Caucasian woman presented to our emergency department with acute abdomen signs and symptoms. A clinical examination revealed a painful palpable mass in her left abdomen. Abdominal ultrasonography and computed tomography demonstrated the presence of a large cystic mass in her left upper abdomen, adjacent to her left hemidiaphragm. The lower border of the mass extended to the upper margin of her pelvis. A complete resection of the lesion was performed. Pathological analysis showed a benign multicystic peritoneal mesothelioma. Conclusions Benign multicystic peritoneal mesothelioma is a rare lesion with a non-specific appearance on imaging. Its diagnosis always requires pathological analysis.

  3. Bone tumors with an associated pathologic fracture: Differentiation between benign and malignant status using radiologic findings

    International Nuclear Information System (INIS)

    To determine whether benign and malignant bone tumors with associated pathologic fractures can be differentiated using radiologic findings. Seventy-eight patients (47 men and 31 women, age range: 1-93 years) with a bone tumor and an associated pathologic fracture from 2004 to 2013 constituted the retrospective study cohort. The tumor size, margin, and enhancement patterns; the presence of sclerotic margin, the peritumoral bone marrow, soft tissue edema, extra-osseous soft tissue mass, intratumoral cystic/hemorrhagic/necrotic regions, mineralization/sclerotic regions, periosteal reaction and its appearance; and cortical change and its appearance were evaluated on all images. Differences between the imaging characteristics of malignant and benign pathologic fractures were compared using Pearson's chi-square test and the 2-sample t-test. There were 22 benign and 56 malignant bone tumors. Some factors were found to significantly differentiate between benign and malignant tumors; specifically, ill-defined tumor margin, the presence of sclerotic tumor margin and an extra-osseous soft tissue mass, the absence of cystic/necrotic/hemorrhagic portions in a mass, the homogeneous enhancement pattern, and the presence of a displaced fracture and of underlying cortical change were suggestive of malignant pathologic fractures. Some imaging findings were helpful for differentiating between benign and malignant pathologic fractures

  4. Bone tumors with an associated pathologic fracture: Differentiation between benign and malignant status using radiologic findings

    Energy Technology Data Exchange (ETDEWEB)

    Bae, Ji Hyun; Lee, In Sook; Song, You Seon [Pusan National University School of Medicine, Pusan National University Hospital, Busan (Korea, Republic of); Kim, Jeung Il [Dept. of Radiology, Yeungnam University College of Medicine, Yeungnam University Medical Center, Daegu (Korea, Republic of); Lee, Moon Sung [Dept. of Radiology, Keimyung University College of Medicine, Dongsan Medical Center, Daegu (Korea, Republic of); Lee, Young Hwan [Dept. of Radiology, Catholic University of Daegu College of Medicine, Daegu Catholic University Hospital, Daegu (Korea, Republic of); Song, Jong Woon [Dept. of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan (Korea, Republic of)

    2015-10-15

    To determine whether benign and malignant bone tumors with associated pathologic fractures can be differentiated using radiologic findings. Seventy-eight patients (47 men and 31 women, age range: 1-93 years) with a bone tumor and an associated pathologic fracture from 2004 to 2013 constituted the retrospective study cohort. The tumor size, margin, and enhancement patterns; the presence of sclerotic margin, the peritumoral bone marrow, soft tissue edema, extra-osseous soft tissue mass, intratumoral cystic/hemorrhagic/necrotic regions, mineralization/sclerotic regions, periosteal reaction and its appearance; and cortical change and its appearance were evaluated on all images. Differences between the imaging characteristics of malignant and benign pathologic fractures were compared using Pearson's chi-square test and the 2-sample t-test. There were 22 benign and 56 malignant bone tumors. Some factors were found to significantly differentiate between benign and malignant tumors; specifically, ill-defined tumor margin, the presence of sclerotic tumor margin and an extra-osseous soft tissue mass, the absence of cystic/necrotic/hemorrhagic portions in a mass, the homogeneous enhancement pattern, and the presence of a displaced fracture and of underlying cortical change were suggestive of malignant pathologic fractures. Some imaging findings were helpful for differentiating between benign and malignant pathologic fractures.

  5. Pattern sensitivity: a missed part of the diagnosis

    OpenAIRE

    El Shakankiry HM; Abdel Kader AA

    2012-01-01

    Hanan M El Shakankiry,1 Ann A Abdel Kader21Department of Pediatrics, King Fahd University Hospital–Al Dammam University, Al Khobar, Kingdom of Saudi Arabia; 2Department of Clinical Neurophysiology, Kasr Aini Hospitals–Cairo University, Cairo, EgyptRationale: Pattern sensitivity can be diagnosed by presenting a series of visual patterns to the subject in the electroencephalography (EEG) laboratory; however, testing for pattern sensitivity is not routinely done during EEG re...

  6. Pharmacological treatment of the benign prostatic hyperplasia

    International Nuclear Information System (INIS)

    Benign prostatic hyperplasia is a common disease in over 50 years-old men consisting in uncontrolled and benign growth of prostatic gland that leads to lower urinary tract symptoms. The etiology of benign prostatic hyperplasia is multifactoral involving the increased conversion of testosterone in dihydrotestosterone by the prostatic 5α-reductase action, which brought about events that encourage the prostate growth (static component) and the increase of the bladder and prostate smooth muscle tone (dynamic component) regulated by the aα1 -adrenoceptors (ADR). The pharmacological treatment of the benign prostatic hyperplasia includes the prostatic 5aα-reductase inhibitors, the aα1-adrenoreceptor blockers, their combined therapy and the phytotherapy. This paper was aimed at presenting the most relevant aspects of the pharmacology of drugs used for treating the benign prostatic hyperplasia, and providing elements to analyze their efficacy, safety and tolerability. To this end, a review was made of the different drugs for the treatment of this pathology and they were grouped according to their mechanism of action. Natural products were included as lipid extracts from Serenoa repens and Pygeum africanum as well as D-004, a lipid extract from Roystonea regia fruits, with proved beneficial effects on the main etiological factors of benign prostatic hyperplasia. D-004 is a prostatic 5a-reductase inhibitor, an aα1-adrenoceptor antagonist, aα 5-lipooxygenase inhibitor and has antioxidant action, all of which reveals a multifactoral mechanism. The results achieved till now indicate that D-004 is a safe and well-tolerated product

  7. Multi-channel linear descriptors for event-related EEG collected in brain computer interface

    Science.gov (United States)

    Pei, Xiao-mei; Zheng, Chong-xun; Xu, Jin; Bin, Guang-yu; Wang, Hong-wu

    2006-03-01

    By three multi-channel linear descriptors, i.e. spatial complexity (Ω), field power (Σ) and frequency of field changes (Φ), event-related EEG data within 8-30 Hz were investigated during imagination of left or right hand movement. Studies on the event-related EEG data indicate that a two-channel version of Ω, Σ and Φ could reflect the antagonistic ERD/ERS patterns over contralateral and ipsilateral areas and also characterize different phases of the changing brain states in the event-related paradigm. Based on the selective two-channel linear descriptors, the left and right hand motor imagery tasks are classified to obtain satisfactory results, which testify the validity of the three linear descriptors Ω, Σ and Φ for characterizing event-related EEG. The preliminary results show that Ω, Σ together with Φ have good separability for left and right hand motor imagery tasks, which could be considered for classification of two classes of EEG patterns in the application of brain computer interfaces.

  8. A high frequency steady-state visually evoked potential based brain computer interface using consumer-grade EEG headset.

    Science.gov (United States)

    Białas, Piotr; Milanowski, Piotr

    2014-01-01

    This work evaluates a possibility of creating a high-frequency, SSVEP-based brain computer interface using a low cost EEG recording hardware - an Emotiv EEG Neuro-headset. Both above aspects are crucial to enable deploying the BCI technology in the consumer market. High frequencies can be used to create a non-tiring and more pleasant interface. Commercial EEG systems, as the Emotiv EEG, although demonstrating large underperformance, are much more affordable than standard, clinical-grade EEG amplifiers. A system classifying between two stimuli and rest is designed and tested in two experiments: on five and ten subject respectively. First, the accuracy of the system is compared for frequencies in lower range (17Hz, 19Hz, 23Hz, 25Hz) and higher range (31Hz, 33Hz, 37Hz, 40Hz). The mean online accuracy is 80%±15% for the former and 67%±12% for the latter. Second, a more thorough investigation is done by evaluating the system for frequencies within a set of 35Hz-40Hz. Although the mean accuracy, 64% ± 22%, is relatively low, most of the users were able to achieve satisfying accuracy, with the mean reaching 82%±5%, which would allow for an efficient, and yet pleasant, usage of the BCI system. In each case a user dependent approach is applied, with a calibration session lasting about five minutes. EEG feature extraction is done using common spatial pattern (CSP) filtering, canonical correlation analysis (CCA), and linear discrimination analysis (LDA). PMID:25571225

  9. The decline of hysterectomy for benign disease.

    LENUS (Irish Health Repository)

    Horgan, R P

    2012-01-31

    Hysterectomy is one of the most common gynaecological surgical procedures performed but there appears to be a decline in the performance of this procedure in Ireland in recent times. We set out to establish the extent of the decline of hysterectomy and to explore possible explanations. Data for hysterectomy for benign disease from Ireland was obtained from the Hospital In-Patient Enquiry Scheme (HIPE) section of the Economic and Social Research Institute for the years 1999 to 2006. The total number of hysterectomies performed for benign disease showed a consistent decline during this time. There was a 36% reduction in the number of abdominal hysterectomy procedures performed.

  10. Diagnostik og behandling af benigne levertumorer

    DEFF Research Database (Denmark)

    Eriksen, Peter Lykke; Schultz, Nicolai Aagaard; Larsen, Lars Peter;

    2016-01-01

    Due to the expanding use of diagnostic imaging, an increasing number of liver tumours are discovered. Benign tumours are very common; they rarely cause symptoms and often they do not require any treatment. However, because of differences in the natural history including risk of complications and...... malignant transformation exact diagnosis is important. Dedicated radiological examinations serve as important diagnostic tools reducing the need for biopsy. In this review we provide an update on the diagnosis and treatment of benign liver tumours adding to existing recommendations on hepatocellular...

  11. EEG correlates of self-referential processing.

    Directory of Open Access Journals (Sweden)

    Gennady eKnyazev

    2013-06-01

    Full Text Available Self-referential processing has been principally investigated using functional magnetic resonance imaging (fMRI. However, understanding of the brain functioning is not possible without careful comparison of the evidence coming from different methodological domains. This paper aims to review electroencephalographic (EEG studies of self-referential processing and to evaluate how they correspond, complement, or contradict the existing fMRI evidence. There are potentially two approaches to the study of EEG correlates of self-referential processing. Firstly, because simultaneous registration of EEG and fMRI has become possible, the degree of overlap between these two signals in brain regions related to self-referential processing could be determined. Second and more direct approach would be the study of EEG correlates of self-referential processing per se. In this review, I discuss studies, which employed both these approaches and show that in line with fMRI evidence, EEG correlates of self-referential processing are most frequently found in brain regions overlapping with the default network, particularly in the medial prefrontal cortex. In the time domain, the discrimination of self- and others-related information is mostly associated with the P300 ERP component, but sometimes is observed even earlier. In the frequency domain, different frequency oscillations have been shown to contribute to self-referential processing, with spontaneous self-referential mentation being mostly associated with the alpha frequency band.

  12. EEG correlates of self-referential processing.

    Science.gov (United States)

    Knyazev, Gennady G

    2013-01-01

    Self-referential processing has been principally investigated using functional magnetic resonance imaging (fMRI). However, understanding of the brain functioning is not possible without careful comparison of the evidence coming from different methodological domains. This paper aims to review electroencephalographic (EEG) studies of self-referential processing and to evaluate how they correspond, complement, or contradict the existing fMRI evidence. There are potentially two approaches to the study of EEG correlates of self-referential processing. Firstly, because simultaneous registration of EEG and fMRI has become possible, the degree of overlap between these two signals in brain regions related to self-referential processing could be determined. Second and more direct approach would be the study of EEG correlates of self-referential processing per se. In this review, I discuss studies, which employed both these approaches and show that in line with fMRI evidence, EEG correlates of self-referential processing are most frequently found in brain regions overlapping with the default network, particularly in the medial prefrontal cortex. In the time domain, the discrimination of self- and others-related information is mostly associated with the P300 ERP component, but sometimes is observed even earlier. In the frequency domain, different frequency oscillations have been shown to contribute to self-referential processing, with spontaneous self-referential mentation being mostly associated with the alpha frequency band. PMID:23761757

  13. EEG oscillations: From correlation to causality.

    Science.gov (United States)

    Herrmann, Christoph S; Strüber, Daniel; Helfrich, Randolph F; Engel, Andreas K

    2016-05-01

    Already in his first report on the discovery of the human EEG in 1929, Berger showed great interest in further elucidating the functional roles of the alpha and beta waves for normal mental activities. Meanwhile, most cognitive processes have been linked to at least one of the traditional frequency bands in the delta, theta, alpha, beta, and gamma range. Although the existing wealth of high-quality correlative EEG data led many researchers to the conviction that brain oscillations subserve various sensory and cognitive processes, a causal role can only be demonstrated by directly modulating such oscillatory signals. In this review, we highlight several methods to selectively modulate neuronal oscillations, including EEG-neurofeedback, rhythmic sensory stimulation, repetitive transcranial magnetic stimulation (rTMS), and transcranial alternating current stimulation (tACS). In particular, we discuss tACS as the most recent technique to directly modulate oscillatory brain activity. Such studies demonstrating the effectiveness of tACS comprise reports on purely behavioral or purely electrophysiological effects, on combination of behavioral effects with offline EEG measurements or on simultaneous (online) tACS-EEG recordings. Whereas most tACS studies are designed to modulate ongoing rhythmic brain activity at a specific frequency, recent evidence suggests that tACS may also modulate cross-frequency interactions. Taken together, the modulation of neuronal oscillations allows to demonstrate causal links between brain oscillations and cognitive processes and to obtain important insights into human brain function. PMID:25659527

  14. Statistical mechanics of neocortical interactions: Multiple scales of EEG

    OpenAIRE

    Ingber, L.

    1996-01-01

    The statistical mechanics of neocortical interactions (SMNI) approach derives a theoretical model for aggregated neuronal activity that defines the "dipole" assumed by many EEG researchers. This defines a nonlinear stochastic filter to extract EEG signals.

  15. Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?

    Science.gov (United States)

    Bleichner, Martin G; Lundbeck, Micha; Selisky, Matthias; Minow, Falk; Jäger, Manuela; Emkes, Reiner; Debener, Stefan; De Vos, Maarten

    2015-04-01

    Electroencephalography (EEG) allows the study of the brain-behavior relationship in humans. Most of what we have learned with EEG was through observing the brain-behavior relationship under well-controlled laboratory conditions. However, by reducing "normal" behavior to a minimum the ecological validity of the results can be limited. Recent developments toward mobile EEG solutions allow to study the brain-behavior relationship outside the laboratory in more natural situations. Besides mobility and robustness with respect to motion, mobile EEG systems should also interfere as little as possible with the participant's behavior. For example, natural interaction with other people could be hindered when it is obvious that a participant wears an EEG cap. This study evaluates the signal quality obtained with an unobtrusive solution for EEG monitoring through the integration of miniaturized EEG ton-electrodes into both a discreet baseball cap and an individualized ear piece. We show that such mini electrodes located at scalp and ear locations can reliably record event related potentials in a P300 brain-computer-interface application. PMID:25847919

  16. 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...

  17. Nonlinear Analysis of Clinical Epileptic EEG by Approximate Entropy

    Institute of Scientific and Technical Information of China (English)

    LIU Yan-su; XIA Yang; XU Hong-ru; ZHOU Dong; YAO De-zhong

    2005-01-01

    By the means of computing approximate entropy (ApEn) of video-EEG from some clinical epileptic, ApEn of EEG with epileptiform discharges is found significantly different from that of EEG without epileptiform discharges, (p=0. 002). Meanwhile, dynamic ApEn shows consistent change of EEG signal withdischarges of epileptic waves inside. These results suggest that ApEn may be a useful tool for automatic recognition and detection of epileptic activity and for understanding epileptogenic mechanism.

  18. Intracranial EEG power and metabolism in human epilepsy

    OpenAIRE

    Pan, JW; Zaveri, HP; Spencer, DD; Hetherington, HP; Spencer, SS

    2009-01-01

    EEG power and high frequency activity in the seizure onset zone has been increasingly considered for its relationship with seizures in animal and human studies of epilepsy. We examine the relationship between quantitative EEG measures and metabolic imaging in epilepsy patients undergoing intracranial EEG (icEEG) analysis for seizure localization. Patients with mesial temporal lobe epilepsy (MTLE) and neocortical epilepsy (NE) were studied. Metabolic imaging was performed with MR spectroscopic...

  19. FDG PET/CT detects benign neurofibromas presenting as nodal masses: Imaging hallmarks of a diagnostic “red herring”

    International Nuclear Information System (INIS)

    Multi-modality positron emission tomography/computed tomography (PET/CT) with 18F-fluoro-deoxy-glucose (FDG) depicts the enhancement pattern and metabolic intensity of lesions. Benign lesions with multiplicity, like neurofibromas often mimic similar appearing malignant neoplasms. We, report, a similar case where FDG PET/CT shows imaging hallmarks for diagnosing benign neurofibromas, in a patient with clinical presentation of lymphoma

  20. Resting state EEG correlates of memory consolidation.

    Science.gov (United States)

    Brokaw, Kate; Tishler, Ward; Manceor, Stephanie; Hamilton, Kelly; Gaulden, Andrew; Parr, Elaine; Wamsley, Erin J

    2016-04-01

    Numerous studies demonstrate that post-training sleep benefits human memory. At the same time, emerging data suggest that other resting states may similarly facilitate consolidation. In order to identify the conditions under which non-sleep resting states benefit memory, we conducted an EEG (electroencephalographic) study of verbal memory retention across 15min of eyes-closed rest. Participants (n=26) listened to a short story and then either rested with their eyes closed, or else completed a distractor task for 15min. A delayed recall test was administered immediately following the rest period. We found, first, that quiet rest enhanced memory for the short story. Improved memory was associated with a particular EEG signature of increased slow oscillatory activity (communication. Our findings suggest that EEG slow oscillations could play a significant role in memory consolidation during other resting states as well. PMID:26802698

  1. Insights from intermittent binocular rivalry and EEG

    Directory of Open Access Journals (Sweden)

    Michael A Pitts

    2011-09-01

    Full Text Available Novel stimulation and analytical approaches employed in EEG studies of ambiguous figures have recently been applied to binocular rivalry. The combination of intermittent stimulus presentation and EEG source imaging has begun to shed new light on the neural underpinnings of binocular rivalry. Here, we review the basics of the intermittent paradigm and highlight methodological issues important for interpreting previous results and designing future experiments. We then outline current analytical approaches, including EEG microstates, event-related potentials, and statistically-based source estimation, and propose a spatio-temporal model that integrates findings from several studies. Finally, we discuss the advantages and limitations of using binocular rivalry as a tool to investigate the neural basis of perceptual awareness.

  2. A Study on Melody Tempo with EEG

    Institute of Scientific and Technical Information of China (English)

    Yuan Yuan; Yong-Xiu Lai; Dan Wu; De-Zhong Yao

    2009-01-01

    In this paper,tempo perception is investi-gated by recording spontaneous electroencephalograph (EEG).Ten normal male non-musician college students are selected according to questionnaire results after listening absorbedly to four different tempos of an excerpt from a Mozart sonata.EEGs data are recorded when the subjects are listening to the music.The EEG spectral power (SP) is analyzed for alpha band.The varying trend of power spectrum during exposure to music excerpts of different tempos is studied and shows the consistence with the previous tempo-specific hypo-thesis:a tempo-transformed performance will sound less natural than an original performance does.The results presented in this paper suggest that tempo is an important factor that could influence the alpha rhythm.

  3. 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...

  4. 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.

  5. 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.

  6. 21 CFR 882.1855 - Electroencephalogram (EEG) telemetry system.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Electroencephalogram (EEG) telemetry system. 882... Electroencephalogram (EEG) telemetry system. (a) Identification. An electroencephalogram (EEG) telemetry system consists of transmitters, receivers, and other components used for remotely monitoring or measuring...

  7. 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 wea

  8. 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.

  9. Single-trial classification of gait intent from human EEG

    Directory of Open Access Journals (Sweden)

    PriyaVelu

    2013-06-01

    Full Text Available Neuroimaging studies provide evidence of cortical involvement immediately before and during gait and during gait-related behaviors such as stepping in place or motor imagery of gait. Here we attempt to perform single-trial classification of gait intent from another movement plan (point intent or from standing in place. Subjects walked naturally from a starting position to a designated ending position, pointed at a designated position from the starting position, or remained standing at the starting position. The 700 ms of recorded EEG before movement onset was used for single-trial classification of trials based on action type and direction (left walk, forward walk, right walk, left point, right point, and stand as well as action type regardless of direction (stand, walk, point. Classification using regularized LDA was performed on PCA reduced feature space composed of levels 1-9 coefficients from a discrete wavelet decomposition using the Daubechies 4 wavelet. We achieved significant classification for all conditions, with errors as low as 17% when averaged across nine subjects. LDA and PCA highly weighted frequency ranges that included MRPs, with smaller contributions from frequency ranges that included mu and beta idle motor rhythms. Additionally, error patterns suggested a spatial structure to the EEG signal. Future applications of the cortical gait intent signal may include an additional dimension of control for prosthetics, preemptive corrective feedback for gait disturbances, or human computer interfaces.

  10. Nonlinear EEG dynamics during imagined self-paced movements.

    Science.gov (United States)

    Popivanov, D; Dushanova, J; Sauleva, Z

    2001-01-01

    The majority of studies devoted to reveal electrophysiological correlates of words and sentences comprehension, imageability and remembering are based on the event-related potentials and frequency synchronization in different narrow frequency bands. These linear methods reveal some patterns of EEG activity in time and frequency domain. Having in mind that the activation of many cortical structures is a result of mass of nonlinearly interconnected neurons, the linear methods seem to be insufficient to discover the complexity of the information transfer. We revealed recently nonlinear dynamic transients in EEG, long before real performance of goal-directed voluntary movements with different temporal and spatial distributions over frontal, sensorimotor and parietal cortical areas (Popivanov and Dushanova, 1999). The aim of this study was to establish whether similar behavior of the nonlinear characteristics exists when the subject imagines movements of a given type. The Kolmogorov entropy computed over time after the sentence end proved to be an useful characteristic that complement the linear methods. PMID:11693391

  11. Identifying periods of drowsy driving using EEG.

    Science.gov (United States)

    Brown, Timothy; Johnson, Robin; Milavetz, Gary

    2013-01-01

    Drowsy driving is a significant contributor to death and injury crashes on our nation's highways. Predictive neurophysiologic/physiologic solutions to reduce these incidences have been proposed and developed. EEG based metrics were found to be promising in initial studies, but remain controversial in their efficacy, primarily due to failures to develop replication studies within the simulation settings used for development, and real-world validation. This analysis sought to address these short comings by assessing the utility of the B-Alert algorithms, in a replication study of driving and drowsiness. Data were collected on the National Advanced Driving Simulator from 72 volunteer drivers exposed to three types of roadways at three times of day representing different levels of drowsiness. EEG metrics, collected using the B-Alert X10 Wireless Headset were evaluated to determine their utility in future predictive studies. The replication of the B-Alert algorithms was a secondary focus for this analysis, resulting in highly variable start times within each time of day segment, leading to EEG data being confounded by the diurnal variations that occur in the basal EEG signal. Regardless of this limitation, the analysis revealed promising outcomes. The EEG based algorithms for sleep onset, drowsiness, as well as fatigue related power spectral bandwidths (i.e. lateral central, and parietal alpha) varied with time of day of the drives. Interestingly, EEG metrics of cognitive workload were also sensative to the terrain of the drives. The replicaiton of the B-Alert algorithms were a secondary focuse in the study design, Taken together, these data indicate great potential of carefully designed studies to utilize neurophysiologic metrics to identify time of day and task and road conditions that may be at greatest risk during fatigued/drowsy periods. PMID:24406950

  12. Natural history of benign prostate hyperplasia

    Institute of Scientific and Technical Information of China (English)

    WU Shi-liang; LI Ning-chen; XIAO Yun-xiang; JIN Jie; QIU Shao-peng; YE Zhang-qun; KONG Chui-ze; SUN Guang; NA Yan-qun

    2006-01-01

    Background Benign prostate hyperplasia is one of the most common diseases affecting the health of the aging males. Watchful waiting is an acceptable management strategy for benign prostate hyperplasia in which the patient is monitored by the physician but receives no active intervention. The epidemiological data on this are lacking in China. Our study was designed to evaluate the changes of signs and symptoms of patients with benign prostate hyperplasia during management by watchful waiting in China.Methods One hundred and forty-five patients with benign prostate hyperplasia aged > 50 years were enrolled in management by watchful waiting. All the patients were visited every 6 months and were given an International Prostate Symptom Score and Quality of Life questionnaire to complete. They also had uroflowmetry and were assessed using ultrasonography to get the volume of prostate, transition zone and amount of residual urine. The Student's t test, the Chi-square test, and variance analysis were used in the statistical analysis.Results All patients were visited after 6 months, the mean volume of transitional zone was found to haveincreased by 1.6 ml (P<0.01), International Prostate Symptom Score was increased by 0.8 (P<0.01) and Quality of Life was increased by 0.2 (P<0.01), and there was no statistical change in other data. Among these patients,17.9% (26/145) visited again after 12 months when the data failed to show a statistically significant difference among the three groups (0, 6, and 12 months).Conclusions After one year's follow-up, the progression of benign prostate hyperplasia was slow and the clinical data did not undergo much change.

  13. Soft textile electrodes for EEG monitoring

    OpenAIRE

    Löfhed, Johan; Seoane, Fernando; Thordstein, Magnus

    2010-01-01

    There is a need for long term monitoring of the brain during intensive care. This is e.g. the case for newborn babies that have been exposed to hypoxia during delivery. Electroencephalography (EEG) is the technique of choice. To get a clear and detailed view of the brain activity a large number of EEG electrodes should be used. Applying traditional electrodes one by one is a time-consuming and technically demanding work and therefore electrode caps are sometimes used. The existing caps have h...

  14. Sparse Linear Modeling of Speech from EEG

    OpenAIRE

    Tiger, Mattias

    2014-01-01

    For people with hearing impairments, attending to a single speaker in a multi-talker background can be very difficult and something which the current hearing aids can barely help with. Recent studies have shown that the audio stream a human focuses on can be found among the surrounding audio streams, using EEG and linear models. With this rises the possibility of using EEG to unconsciously control future hearing aids such that the attuned sounds get enhanced, while the rest are damped. For su...

  15. 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

  16. 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.

  17. Endo-biliary stents for benign disease: not always benign after all!

    Directory of Open Access Journals (Sweden)

    Jo-Etienne Abela

    2011-11-01

    Full Text Available This case report describes the presentation, management and treatment of a patient who suffered small bowel perforation due to the migration of his biliary stent which had been inserted for benign disease.

  18. EEG Physiological Signals Correlation under Condition of +Gz Accelerations

    Directory of Open Access Journals (Sweden)

    Yifeng Li

    2013-02-01

    Full Text Available  In this research, by simultaneously recording the Electroencephalogram(EEG, Electrocardiogram(ECG and brain blood pressure signals under the condition of +Gz accelerations, the correlation of EEG and heart rate, brain blood pressure was respectively studied in order to provide experimental basis for correctly understanding the relationships between global and local areas as well as among different local areas of human brain, and also to lay foundation for the EEG spectral analysis, interaction and mechanism research of EEG and related physiological signals. The results of EEG auto-correlation and symmetrical electrode cross-correlation analysis of 16 derivation for different loads were obtained, and the correlation coefficients of EEG and brain blood pressure, heart rate were calculated by designing analytical procedure of processing and analyzing the EEG data through programming. Correlation diagrams indicate that the first peak after zero lags appeared is the main peak responding to relatively stronger correlation and correlation numerical value of the first main peak is the largest and the correlation is greatly impacted by different G loads; EEG and heart rate, brain blood pressure, each frequency band of EEG and heart rate, brain blood pressure has different correlation degree separately. In this study EEG experiments are first carries out on high performance three axial human centrifuge by using a new specific acquisition and test method of EEG and related physiological signals and correlation research of EEG and heart rate, brain blood pressure under +Gz accelerations is first proposed. The conclusion can be drawn that EEG correlation under +Gz accelerations is gradually decreased with time lag increasing, greatly affected by G loads and correlation degree of EEG and brain blood pressure is greater than that of EEG and heart rate.

  19. Differentiating benign from malignant bone tumors using fluid-fluid level features on magnetic resonance imaging

    International Nuclear Information System (INIS)

    To analyze different fluid-fluid level features between benign and malignant bone tumors on magnetic resonance imaging (MRI). This study was approved by the hospital ethics committee. We retrospectively analyzed 47 patients diagnosed with benign (n = 29) or malignant (n = 18) bone tumors demonstrated by biopsy/surgical resection and who showed the intratumoral fluid-fluid level on pre-surgical MRI. The maximum length of the largest fluid-fluid level and the ratio of the maximum length of the largest fluid-fluid level to the maximum length of a bone tumor in the sagittal plane were investigated for use in distinguishing benign from malignant tumors using the Mann-Whitney U-test and a receiver operating characteristic (ROC) analysis. Fluid-fluid level was categorized by quantity (multiple vs. single fluid-fluid level) and by T1-weighted image signal pattern (high/low, low/high, and undifferentiated), and the findings were compared between the benign and malignant groups using the chi2 test. The ratio of the maximum length of the largest fluid-fluid level to the maximum length of bone tumors in the sagittal plane that allowed statistically significant differentiation between benign and malignant bone tumors had an area under the ROC curve of 0.758 (95% confidence interval, 0.616-0.899). A cutoff value of 41.5% (higher value suggests a benign tumor) had sensitivity of 73% and specificity of 83%. The ratio of the maximum length of the largest fluid-fluid level to the maximum length of a bone tumor in the sagittal plane may be useful to differentiate benign from malignant bone tumors.

  20. Differentiating benign from malignant bone tumors using fluid-fluid level features on magnetic resonance imaging

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Hong; Cui, Jian Ling; Cui, Sheng Jie; Sun, Ying Cal; Cui, Feng Zhen [Dept. of Radiology, The Third Hospital of Hebei Medical University, Hebei Province Biomechanical Key Laborary of Orthopedics, Shijiazhuang, Hebei (China)

    2014-12-15

    To analyze different fluid-fluid level features between benign and malignant bone tumors on magnetic resonance imaging (MRI). This study was approved by the hospital ethics committee. We retrospectively analyzed 47 patients diagnosed with benign (n = 29) or malignant (n = 18) bone tumors demonstrated by biopsy/surgical resection and who showed the intratumoral fluid-fluid level on pre-surgical MRI. The maximum length of the largest fluid-fluid level and the ratio of the maximum length of the largest fluid-fluid level to the maximum length of a bone tumor in the sagittal plane were investigated for use in distinguishing benign from malignant tumors using the Mann-Whitney U-test and a receiver operating characteristic (ROC) analysis. Fluid-fluid level was categorized by quantity (multiple vs. single fluid-fluid level) and by T1-weighted image signal pattern (high/low, low/high, and undifferentiated), and the findings were compared between the benign and malignant groups using the chi2 test. The ratio of the maximum length of the largest fluid-fluid level to the maximum length of bone tumors in the sagittal plane that allowed statistically significant differentiation between benign and malignant bone tumors had an area under the ROC curve of 0.758 (95% confidence interval, 0.616-0.899). A cutoff value of 41.5% (higher value suggests a benign tumor) had sensitivity of 73% and specificity of 83%. The ratio of the maximum length of the largest fluid-fluid level to the maximum length of a bone tumor in the sagittal plane may be useful to differentiate benign from malignant bone tumors.

  1. [Benign and malignant granular cell tumors. An immunohistochemical classification of tumor cells].

    Science.gov (United States)

    Kuhn, A; Mahrle, G; Steigleder, G K

    1987-06-15

    Eight benign and three malignant granular cell tumors were characterized by means of antibodies and antisera against keratin, desmin, epithelial membrane antigen, factor VIII-related protein, lysozyme, myelin basic protein, myoglobin, neurone-specific enolase, S 100 protein, myelin-associated protein (Leu 7), glial fibrillary acidic protein, vimentin, and neurofilament. All benign granular cell tumours showed positive staining of the tumor cells to antibodies against vimentin, S 100 protein, and neurone-specific enolase; myelin-associated protein (Leu 7), in contrast, was only detectable in a few tumor sections. Histogenetically the granular cells may be classified as Schwann's cells which lost their expression of laminin. The three malignant granular cell tumors showed a staining pattern significantly different from that of the benign tumours. Thus, only neurone-specific enolase was detectable in all the tumors, whereas S 100 protein and vimentin could not be demonstrated but in one and two, resp., out of three tumors. PMID:3303714

  2. Role of Duplex Power Doppler Ultrasound in Differentiation between Malignant and Benign Thyroid Nodules

    Energy Technology Data Exchange (ETDEWEB)

    Algin, Oktay [Ataturk Training and Research Hospital Bilkent, Ankara (Turkmenistan); Algin, Efnan [Gazi University Medical Faculty, Ankara (Turkmenistan); Gokalp, Gokhan; Ocakog, Gokhan; Erdog an, Cuneyt; Saraydaroglu, Ozlem; Ercan Tuncel, Prof [Uludag University Medical Faculty, Bursa (Turkmenistan)

    2010-12-15

    To evaluate the usage of duplex power Doppler ultrasound (PDUS) for the differentiation of benign and malignant thyroid nodules. We prospectively examined 77 thyroid nodules in 60 patients undergoing ultrasound-guided fine needle aspiration biopsy (FNAB). Each nodule was described according to size, inner structure, borders, parenchymal echogenicity, peripheral halo formation, and the presence of calcification (Bmode ultrasound findings). Vascularity as determined by PDUS imaging was defined as non-vascular, peripheral, central, or of mixed type. For each nodule, the pulsatility index (PI) and resistive index (RI) values were obtained. Results of FNAB and surgical pathological examination (if available) were used as a proof of final diagnosis to categorize all nodules as benign or malignant. A receiver operating characteristic (ROC) curve analysis was performed to establish cut-off, sensitivity, and specificity values associated with RI-PI values. A significant relationship was observed between malignancy and irregular margins, microcalcifications, and hypoechogenicity on ultrasound examination (p < 0.05). The pattern of vascularity as determined by PDUS analysis was not a statistically significant criterion to suggest benign or malignant disease in this study (p > 0.05). The central, peripheral, and mean RI-PI values were higher in malignant nodules when compared to the other cytologies (p < 0.05). Vascularity is not a useful parameter for distinguishing malignant from benign thyroid nodules. However, RI and PI values are useful in distinguishing malignant from benign thyroid nodules

  3. Solid pseudopapillary carcinoma of the pancreas: differentiation from benign solid pseudopapillary tumour using CT and MRI

    International Nuclear Information System (INIS)

    Aim: To describe the computed tomography (CT) and magnetic resonance imaging (MRI) findings that differentiate solid pseudopapillary carcinomas (SPC) from benign solid pseudopapillary tumours (SPT) of the pancreas. Materials and methods: Preoperative CT or MRI images for 26 patients (eight patients with SPC and 18 patients with SPT) were retrospectively reviewed. In addition to the general morphological features, the presence of pancreatic duct dilation, vascular invasion, and extrapancreatic metastases were comparatively assessed. Results: There were no significant differences between pancreatic SPC and benign SPT with respect to tumour size, location, capsule thickness, internal composition, and pattern of calcification, nor was there any correlation with the age and gender of the patients. Pancreatic duct dilation was present in four of the eight (50%) SPC patients, and was absent in all benign SPT patients (p = 0.005). Vascular encasement by the tumour (n = 2) and hepatic metastases (n = 2) were also exclusively demonstrated in SPC patients. Multivariate logistic regression analysis showed that pancreatic duct dilation (p = 0.001), vessel encasement (p = 0.027), and metastasis (p = 0.027) were the variables that can be used to differentiate SPC from benign SPT. Conclusion: SPC of the pancreas may help to differentiate from benign SPT using the imaging features of aggressive behaviour of pancreatic duct dilation and vessel encasement with or without extrapancreatic metastases

  4. Benign Prostatic Hyperstatic Hyperplasia (BPH) (Beyond the Basics)

    Science.gov (United States)

    ... names for benign prostatic hyperplasia include benign prostatic hypertrophy, an enlarged prostate, and BPH. BPH occurs only ... prostatic hyperplasia" .) Alpha blockers — These medications relax the muscle of the prostate and bladder neck, which allows ...

  5. Differentiation of benign and malignant solitary pulmonary nodules : value of contrast-enhanced dynamic MR imaging

    International Nuclear Information System (INIS)

    To evaluate the usefulness of contrast-enhanced dynamic MR imaging for differentiation of benign and malignant solitary pulmonary nodules (SPNs). Twenty-three patients with histologically or radiologically provened SPNs smaller than 40mm (14 benign, 9 malignant) underwent MR examination using the breath-hold fast multiplanar spoiled gradient echo (FMPSPGR) technique. Pre-enhancement MR examination was followed by serial scans obtained at one-minute intervals, beginning one-minute after the onset of bolus injection of paramagnetic contrast agent for a total of five scans. Signal intensities of SPNs were measured from pre- and post-contrast enhanced MR images and peak percentage increase in signal intensity (p%SI) was calculated. Mean percentage increase in signal intensity (m%SI) was also calculated and the time-m%SI curve was plotted. The enhancement patterns of SPNs were classified as homogeneous, peripheral rim-like, inhomogeneous, or no (or minimal) enhancement. We compared differences in p%SI, the pattern of the time-m%SI curve, and the pattern of enhancement between benign and malignant SPNs. On dynamic MR images, alignant SPNs (n=9) showed a significantly higher p%SI than benign SPNs (n=14) (malignant : mean 120.6, range 81.8-171.6; benign : mean 29.5, range 3.7-78.9)(p<0.0001). With 80 p%SI as the threshold for malignancy-positive, both sensitivity and specificity were 100%. The m%SI of malignant SPNs rapidly increased at one minute after enhancement and decreased gradually thereafter, whereas that of benign SPNs increased more slowly to form a plateau. Eighty-nine percent (8/9) of malignant SPNs showed homogeneous enhancement. In contrast, among benign SPNs, peripheral rim-like enhancement and no (or minimal) enhancement occurred in the same proportion of cases : 50%(7/14). The superb demonstration of different enhancement characteristics obtained using dynamic contrast-enhanced MR imaging is useful to discriminate malignant from benign SPNs

  6. 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

  7. Elektroensefalografi (EEG): Patofisiologi Timbulnya Gelombang dan Beberapa Jenis Gelombang Normal pada EEG

    OpenAIRE

    Rambe, Aldy S.

    2010-01-01

    Neurons in the brain generate electrical activity that produce electrical potentiasl. Changes in the electrical potentials can be recorded into different types of electrical waves with its own characteristics. Electrical potential recorded on the scalp shows the summation of activities of millions of neurons that are discharged simultaneously. EEG waves mainly shows the activity of cortical neurons. EEG can provide important informations, but it is still not final. To be able to interpretate ...

  8. Approaches to verbal, visual and musical creativity by EEG coherence analysis.

    Science.gov (United States)

    Petsche, H

    1996-11-01

    Our approach to coherence analysis of the on-going EEG yields data on the cooperation between all possible electrode sites of the 10/20 system. This procedure compares epochs during mental activity with epochs of EEG at rest and takes into account only significant differences which are represented as lines between the respective electrodes on maps of the brain surface. The patterns thus obtained reflect the temporal average of the changes of the overall coherence pattern caused by any mental task. They are interpreted as reflecting differential attention required for the achievement of the mental task in question. Acts of creative thinking, be it verbally, visually or musically, are characterized by more coherence increases between occipital and frontopolar electrode sites than any other mental tasks. The results are interpreted by a stronger involvement of long cortico-cortical fibre systems in creative tasks. PMID:8978440

  9. A Study on EEG Analysis in Human Error Potential while using digital device in NPPs

    International Nuclear Information System (INIS)

    Human error potential (HEP) means a possibility of task performance failure based on the final consequence. The HEP of a digital device in nuclear power plants (NPPs) may be caused by perceptual deficiencies of human information processing and miss some operation of the digital device, and so on. There have been many studies to investigate HEP and how to prevent the human error but these mostly focused on probability. We apply a qualitative experimental study on HEP. The purpose of this study is to analyze EEG in HEP during the operation of a digital device in NPPs. We investigate the physiological signal, and evaluate the patterns and specific characteristics of the frequency during the task performance. Within the task process from perception the information to response execution while using a digital device in NPPs, EEG signal shows different pattern. These findings can be utilized to discriminate the HEP in the design of device in NPPs for human errors prevention

  10. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification

    Directory of Open Access Journals (Sweden)

    Ting Wang

    2014-01-01

    Full Text Available Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research. Electroencephalography (EEG is widely used in eye state classification to detect human's cognition state. Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification. This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL based on neural networks. IAL is a novel machine learning strategy which gradually imports and trains features one by one. Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems. However, in these previous works, little research on IAL focused on its application to time-series problems. Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification. Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.

  11. Inhibitory effects of jujuboside A on EEG and hippocampal glutamate in hyperactive rat

    Institute of Scientific and Technical Information of China (English)

    LU Ying-jun; ZHOU Jun; ZHANG Shao-min; ZHANG Heng-yi; ZHENG Xiao-xiang

    2005-01-01

    In this study, the inhibitory effect ofjujuboside A (JuA) on a penicillin sodium (Na-PCN) induced hyperactivity model was investigated. Cortical EEG (electroencephalogram) and the concentration of hippocampal Glutamate (Glu) were monitored simultaneously in vivo as indicators of rat's excitatory state. Power spectral density (PSD) and gravity frequency of PSD were calculated. JuA (0.05 g/L and 0.1 g/L) inhibited the EEG excitation effect caused by Na-PCN by increasing the power of δ1 and δ2bands (P<0.01 vs model) and lowering the gravity frequency of PSD (P<0.01 vs model). JuA also remarkably reduced the Glu elevation induced by Na-PCN (P<0.05 vs model). Diazepam also depressed Glu concentration and lowered the gravity frequency,but it showed a different EEG pattern in increased β2-activity (P<0.01 vs model). EEG excitation caused by Na-PCN correlated with Glu elevation during the first hour. Neurophysiological inhibitory effects of JuA and diazepam were more persistent than their Glu inhibitoty effects.

  12. On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research

    Directory of Open Access Journals (Sweden)

    Giovanni Vecchiato

    2011-01-01

    Full Text Available Here we present an overview of some published papers of interest for the marketing research employing electroencephalogram (EEG and magnetoencephalogram (MEG methods. The interest for these methodologies relies in their high-temporal resolution as opposed to the investigation of such problem with the functional Magnetic Resonance Imaging (fMRI methodology, also largely used in the marketing research. In addition, EEG and MEG technologies have greatly improved their spatial resolution in the last decades with the introduction of advanced signal processing methodologies. By presenting data gathered through MEG and high resolution EEG we will show which kind of information it is possible to gather with these methodologies while the persons are watching marketing relevant stimuli. Such information will be related to the memorization and pleasantness related to such stimuli. We noted that temporal and frequency patterns of brain signals are able to provide possible descriptors conveying information about the cognitive and emotional processes in subjects observing commercial advertisements. These information could be unobtainable through common tools used in standard marketing research. We also show an example of how an EEG methodology could be used to analyze cultural differences between fruition of video commercials of carbonated beverages in Western and Eastern countries.

  13. On the use of EEG or MEG brain imaging tools in neuromarketing research.

    Science.gov (United States)

    Vecchiato, Giovanni; Astolfi, Laura; De Vico Fallani, Fabrizio; Toppi, Jlenia; Aloise, Fabio; Bez, Francesco; Wei, Daming; Kong, Wanzeng; Dai, Jounging; Cincotti, Febo; Mattia, Donatella; Babiloni, Fabio

    2011-01-01

    Here we present an overview of some published papers of interest for the marketing research employing electroencephalogram (EEG) and magnetoencephalogram (MEG) methods. The interest for these methodologies relies in their high-temporal resolution as opposed to the investigation of such problem with the functional Magnetic Resonance Imaging (fMRI) methodology, also largely used in the marketing research. In addition, EEG and MEG technologies have greatly improved their spatial resolution in the last decades with the introduction of advanced signal processing methodologies. By presenting data gathered through MEG and high resolution EEG we will show which kind of information it is possible to gather with these methodologies while the persons are watching marketing relevant stimuli. Such information will be related to the memorization and pleasantness related to such stimuli. We noted that temporal and frequency patterns of brain signals are able to provide possible descriptors conveying information about the cognitive and emotional processes in subjects observing commercial advertisements. These information could be unobtainable through common tools used in standard marketing research. We also show an example of how an EEG methodology could be used to analyze cultural differences between fruition of video commercials of carbonated beverages in Western and Eastern countries. PMID:21960996

  14. A Recurrent Probabilistic Neural Network with Dimensional Reduction and Its Application to Time Series EEG Discrmination

    Science.gov (United States)

    Shima, Keisuke; Takata, Daisuke; Bu, Nan; Tsuji, Toshio

    This paper proposes a novel reduced-dimensional recurrent probabilistic neural network, and tries to classify electroencephalography (EEG) during motor images. In general, a recurrent probabilistic neural network (RPNN) is a useful tool for pattern discrimination of biological signals such as electromyograms (EMGs) and EEG due to its learning ability. However, when dealing with high dimensional data, RPNNs usually have problems of heavy computation burden and difficulty in training. To overcome these problems, the proposed RPNNs incorporates a dimension-reducing stage based on linear discriminant analysis into the network structure, and a hidden Markov model (HMM) and a Gaussian mixture model (GMM) are composed in the network structure for time-series discrimination. The proposed network is also applied to EEG discrimination using Laplacian filtering and wavelet packet transform (WPT). Discrimination experiments of EEG signals measured during calling motor images in mind were conducted with four subjects. The results showed that the proposed method can achieve relatively high discrimination performance (average discrimination rates: 84.6±5.9%), and indicated that the method has possibility to be applied for the human-machine interfaces.

  15. Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface

    Directory of Open Access Journals (Sweden)

    Michael H. Thaut

    2005-11-01

    Full Text Available Most EEG-based BCI systems make use of well-studied patterns of brain activity. However, those systems involve tasks that indirectly map to simple binary commands such as “yes” or “no” or require many weeks of biofeedback training. We hypothesized that signal processing and machine learning methods can be used to discriminate EEG in a direct “yes”/“no” BCI from a single session. Blind source separation (BSS and spectral transformations of the EEG produced a 180-dimensional feature space. We used a modified genetic algorithm (GA wrapped around a support vector machine (SVM classifier to search the space of feature subsets. The GA-based search found feature subsets that outperform full feature sets and random feature subsets. Also, BSS transformations of the EEG outperformed the original time series, particularly in conjunction with a subset search of both spaces. The results suggest that BSS and feature selection can be used to improve the performance of even a “direct,” single-session BCI.

  16. A physiology-based seizure detection system for multichannel EEG.

    Directory of Open Access Journals (Sweden)

    Chia-Ping Shen

    Full Text Available BACKGROUND: Epilepsy is a common chronic neurological disorder characterized by recurrent unprovoked seizures. Electroencephalogram (EEG signals play a critical role in the diagnosis of epilepsy. Multichannel EEGs contain more information than do single-channel EEGs. Automatic detection algorithms for spikes or seizures have traditionally been implemented on single-channel EEG, and algorithms for multichannel EEG are unavailable. METHODOLOGY: This study proposes a physiology-based detection system for epileptic seizures that uses multichannel EEG signals. The proposed technique was tested on two EEG data sets acquired from 18 patients. Both unipolar and bipolar EEG signals were analyzed. We employed sample entropy (SampEn, statistical values, and concepts used in clinical neurophysiology (e.g., phase reversals and potential fields of a bipolar EEG to extract the features. We further tested the performance of a genetic algorithm cascaded with a support vector machine and post-classification spike matching. PRINCIPAL FINDINGS: We obtained 86.69% spike detection and 99.77% seizure detection for Data Set I. The detection system was further validated using the model trained by Data Set I on Data Set II. The system again showed high performance, with 91.18% detection of spikes and 99.22% seizure detection. CONCLUSION: We report a de novo EEG classification system for seizure and spike detection on multichannel EEG that includes physiology-based knowledge to enhance the performance of this type of system.

  17. Target Speaker Detection with Concealed EEG Around the Ear

    Science.gov (United States)

    Mirkovic, Bojana; Bleichner, Martin G.; De Vos, Maarten; Debener, Stefan

    2016-01-01

    Target speaker identification is essential for speech enhancement algorithms in assistive devices aimed toward helping the hearing impaired. Several recent studies have reported that target speaker identification is possible through electroencephalography (EEG) recordings. If the EEG system could be reduced to acceptable size while retaining the signal quality, hearing aids could benefit from the integration with concealed EEG. To compare the performance of a multichannel around-the-ear EEG system with high-density cap EEG recordings an envelope tracking algorithm was applied in a competitive speaker paradigm. The data from 20 normal hearing listeners were concurrently collected from the traditional state-of-the-art laboratory wired EEG system and a wireless mobile EEG system with two bilaterally-placed around-the-ear electrode arrays (cEEGrids). The results show that the cEEGrid ear-EEG technology captured neural signals that allowed the identification of the attended speaker above chance-level, with 69.3% accuracy, while cap-EEG signals resulted in the accuracy of 84.8%. Further analyses investigated the influence of ear-EEG signal quality and revealed that the envelope tracking procedure was unaffected by variability in channel impedances. We conclude that the quality of concealed ear-EEG recordings as acquired with the cEEGrid array has potential to be used in the brain-computer interface steering of hearing aids. PMID:27512364

  18. A low-power, wireless, 8-channel EEG monitoring headset.

    Science.gov (United States)

    Brown, Lindsay; van de Molengraft, Jef; Yazicioglu, Refet Firat; Torfs, Tom; Penders, Julien; Van Hoof, Chris

    2010-01-01

    Micro- and nano-technology has enabled development of smaller and smarter wearable devices for medical and lifestyle related applications. In particular, recent advances in EEG monitoring technologies pave the way for wearable, wireless EEG monitoring devices. Here, a low-power wireless EEG sensor platform that measures 8-channels of EEG, is described. The platform is integrated into a wearable headset for ambulatory monitoring of EEG. While using standard EEG electrodes without conductive gel, a first evaluation shows the wireless headset is comparable to the reference system when looking at alpha wave discrimination. This device combines low-noise, and low-power functionality into an easy-to-use wireless headset, providing a first step towards a fully integrated, fully functional wearable wireless EEG monitoring system. PMID:21096892

  19. Relation of EEG and computerized tomography in transient ischaemic attacks

    International Nuclear Information System (INIS)

    80 patients with transient ischaemic attack (TIA) were examined via computer tomogram (CT) and electronencephalogram (EEG). 53 patients were found to have a normal CT and 32 a normal EEG. In the patients with pathological CT findings (27) a significantly lower number of normal EEG's (22) was seen. Further subdivision of the 27 pathological CT findings revealed 12 patients with hypodense areas (infarctions) and 15 patients with an atrophy only. A normal EEG was significantly rarer in patients with a hypodense lesion (2) and in those with atrophy (3), focal EEG changes being significantly more frequent. Hence EEG findings facilitate the aetiological linking of an atrophy to an ischaemic stroke, especially when EEG follow-up examinations are included in the diagnostic procedure. (orig.)

  20. Vitamin D deficiency and benign paroxysmal positioning vertigo

    OpenAIRE

    Büki, Bela; Ecker, Michael; Jünger, Heinz; Lundberg, Yunxia Wang

    2012-01-01

    Benign paroxysmal positional vertigo is a common cause of disabling vertigo with a high rate of recurrence. Although connections between vitamin D deficiency and osteoporosis, as well as between osteoporosis and benign paroxysmal positional vertigo have been suggested respectively in the literature, we are not aware of any publication linking vitamin D and benign paroxysmal positional vertigo. As a hypothesis, we suggest that there is a relation between insufficient vitamin D level and benign...

  1. EEG Theta Activity, Cognitive Disorders and ADHD

    OpenAIRE

    J Gordon Millichap

    2005-01-01

    The relation between resting EEG theta activity and poor performance in attention-demanding cognitive tasks in 46 unmedicated children/adolescents with attention deficit hyperactivity (ADHD) was studied at Westmead Hospital, University of Sydney, NSW, Australia; and Heinrich-Heine University of Dusseldorf, Germany.

  2. Microneedle array electrode for human EEG recording

    NARCIS (Netherlands)

    Luttge, Regina; Bystrova, S.N.; Putten, van M.J.A.M; 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, i

  3. Discriminant Multitaper Component Analysis of EEG

    DEFF Research Database (Denmark)

    Dyrholm, Mads; Sajda, Paul

    the method for predicting the handedness of a subject’s button press given multivariate EEG data. We show that our method learns multitapers sensitive to oscillatory activity in the 8–12 Hz range with spatial filters selective for lateralized motor cortex. This finding is consistent with the well-known mu...

  4. 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 frequ

  5. Correlation between intra- and extracranial background EEG

    DEFF Research Database (Denmark)

    Duun-Henriksen, Jonas; Kjær, 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...

  6. EEG Classification Models in Driver's Microsleep Prevention

    Czech Academy of Sciences Publication Activity Database

    Klaschka, Jan

    Praha: Agentura Action M, 2010. s. 52-52. [ISBIS 2010. International Symposium on Business and Industrial Statistics. 05.07.2010-09.07.2010, Portorož] Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG * microsleep * combining classifiers Subject RIV: FH - Neurology

  7. Resting and reactive frontal brain electrical activity (EEG among a non-clinical sample of socially anxious adults: Does concurrent depressive mood matter?

    Directory of Open Access Journals (Sweden)

    Elliott A Beaton

    2008-03-01

    Full Text Available Elliott A Beaton1, Louis A Schmidt2, Andrea R Ashbaugh2,5, Diane L Santesso2, Martin M Antony1,3,4, Randi E McCabe1,31Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; 2Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada; 3Anxiety Treatment and Research Centre, St. Joseph’s Healthcare, Hamilton, Ontario, Canada; 4Department of Psychology, Ryerson University, Toronto, Ontario, Canada; 5Concordia University, Montreal, Quebec, CanadaAbstract: A number of studies have noted that the pattern of resting frontal brain electrical activity (EEG is related to individual differences in affective style in healthy infants, children, and adults and some clinical populations when symptoms are reduced or in remission. We measured self-reported trait shyness and sociability, concurrent depressive mood, and frontal brain electrical activity (EEG at rest and in anticipation of a speech task in a non-clinical sample of healthy young adults selected for high and low social anxiety. Although the patterns of resting and reactive frontal EEG asymmetry did not distinguish among individual differences in social anxiety, the pattern of resting frontal EEG asymmetry was related to trait shyness after controlling for concurrent depressive mood. Individuals who reported a higher degree of shyness were likely to exhibit greater relative right frontal EEG activity at rest. However, trait shyness was not related to frontal EEG asymmetry measured during the speech-preparation task, even after controlling for concurrent depressive mood. These findings replicate and extend prior work on resting frontal EEG asymmetry and individual differences in affective style in adults. Findings also highlight the importance of considering concurrent emotional states of participants when examining psychophysiological correlates of personality.Keywords: social anxiety, shyness, sociability

  8. A Novel Implanted Device to Wirelessly Record and Analyze Continuous Intracranial Canine EEG

    OpenAIRE

    Kathryn A Davis; Beverly K Sturges; Vite, Charles H.; Ruedebusch, Vanessa; Worrell, Gregory; Gardner, Andrew B.; Leyde, Kent; Sheffield, W. Douglas; Litt, Brian

    2011-01-01

    We present results from continuous intracranial electroencephalographic (iEEG) monitoring in 6 dogs with naturally occurring epilepsy, a disorder similar to the human condition in its clinical presentation, epidemiology, electrophysiology and response to therapy. Recordings were obtained using a novel implantable device wirelessly linked to an external, portable real-time processing unit. We demonstrate previously uncharacterized intracranial seizure onset patterns in these animals that are s...

  9. Antero-Posterior EEG Spectral Power Gradient as a Correlate of Extraversion and Behavioral Inhibition

    OpenAIRE

    Knyazev, Gennady G.

    2010-01-01

    Several studies have shown that individual-specific patterns of cortical spectral power distribution are relatively stable across time and experimental conditions. The antero-posterior EEG spectral power gradient (APSPG) emerged as the most prominent feature associated with important personality characteristics. In this study this phenomenon is further investigated in relation to its stability and association with different personality traits. It has been shown that APSPG is generally more pr...

  10. Sleep in dairy cows recorded with a non-invasive EEG technique

    OpenAIRE

    Ternman, Emma; HÀnninen, Laura; Pastell, Matti; AgenÀs, Sigrid; Peetz Nielsen, Per

    2012-01-01

    Sufficient sleep time is important for both an adequate metabolic system and the immune function. Sleep in animals is often estimated by behavioural observations, or recorded on restrained animals with invasive electroencephalogram (EEG) techniques, which might affect sleep patterns. Earlier studies on sleep in cows showed that they sleep about 4 h per day and drowse almost twice the time. The aim of this study was to record and differentiate between vigilance states in dairy cows using a non...

  11. EEG sleep and the cholinergic REM induction test in anorexic and bulimic patients

    OpenAIRE

    Lauer, C.; Zulley, Jürgen; Krieg, J. C.; Riemann, D.; Berger, M

    1988-01-01

    The electroencephalographic (EEG) sleep of 20 anorexic patients, 10 bulimic patients, and 10 age-matched healthy controls was studied. In addition, six anorexic patients and six bulimic patients had a cholinergic rapid eye movement (REM) sleep induction test (RIT) performed with the cholinergic agent RS 86. The three samples showed no major differences in sleep patterns. The same held true when attention was focused on patients who additionally met DSM-III criteria for major depression. The R...

  12. EEG microstates of wakefulness and NREM sleep.

    Science.gov (United States)

    Brodbeck, Verena; Kuhn, Alena; von Wegner, Frederic; Morzelewski, Astrid; Tagliazucchi, Enzo; Borisov, Sergey; Michel, Christoph M; Laufs, Helmut

    2012-09-01

    EEG-microstates exploit spatio-temporal EEG features to characterize the spontaneous EEG as a sequence of a finite number of quasi-stable scalp potential field maps. So far, EEG-microstates have been studied mainly in wakeful rest and are thought to correspond to functionally relevant brain-states. Four typical microstate maps have been identified and labeled arbitrarily with the letters A, B, C and D. We addressed the question whether EEG-microstate features are altered in different stages of NREM sleep compared to wakefulness. 32-channel EEG of 32 subjects in relaxed wakefulness and NREM sleep was analyzed using a clustering algorithm, identifying the most dominant amplitude topography maps typical of each vigilance state. Fitting back these maps into the sleep-scored EEG resulted in a temporal sequence of maps for each sleep stage. All 32 subjects reached sleep stage N2, 19 also N3, for at least 1 min and 45 s. As in wakeful rest we found four microstate maps to be optimal in all NREM sleep stages. The wake maps were highly similar to those described in the literature for wakefulness. The sleep stage specific map topographies of N1 and N3 sleep showed a variable but overall relatively high degree of spatial correlation to the wake maps (Mean: N1 92%; N3 87%). The N2 maps were the least similar to wake (mean: 83%). Mean duration, total time covered, global explained variance and transition probabilities per subject, map and sleep stage were very similar in wake and N1. In wake, N1 and N3, microstate map C was most dominant w.r.t. global explained variance and temporal presence (ratio total time), whereas in N2 microstate map B was most prominent. In N3, the mean duration of all microstate maps increased significantly, expressed also as an increase in transition probabilities of all maps to themselves in N3. This duration increase was partly--but not entirely--explained by the occurrence of slow waves in the EEG. The persistence of exactly four main microstate

  13. Benign Multicystic Mesothelioma in the Left Round Ligament: Case Report

    Energy Technology Data Exchange (ETDEWEB)

    Bae, So Young; Yi, Boem Ha; Lee, Hae Kyung; Park, Seong Jin; Cho, Gyu Seok; Kwak, Jeong Ja [Soonchunhyang University Bucheon Hospital, Bucheon (Korea, Republic of)

    2010-02-15

    Benign multicystic mesothelioma is a rare mesothelial lesion that forms multicystic masses in the upper abdomen, pelvis, and retroperitoneum. Most cases have a benign course. We present the ultrasound and MR findings of benign multicystic mesothelioma in the left round ligament, which caused a left inguinal hernia in a 46-year-old woman.

  14. Characteristics of benign lymphoadenosis of oral mucosa

    Institute of Scientific and Technical Information of China (English)

    Shu-Xia Li; Shi-Feng Yu; Kai-Hua Sun

    2005-01-01

    AIM: To investigate the pathological characteristics and carcinogenesis mechanism of benign lymphoadenosis of oral mucosa (BLOM).METHODS: The expressions of Ki-67, CD34 and apoptosis were evaluated by immunohistochemical SP staining in 64 paraffin-embedded tissue samples. Of them, 9 were from BLOM with dysplasia, 15 from BLOM without dysplasia,15 from oral squamous cell carcinoma (OSCC), 15 from oral precancerosis, and 10 from normal tissues. Cell proliferation, apoptosis and angiogenesis of tissue samples were also analyzed.RESULTS: The expression of Ki-67 in BLOM with dysplasia,oral precancerosis and OSCC was significantly higher than in BLOM without dysplasia and normal mucosa. The microvascular density (MVD) in BLOM with and without dysplasia, oral precancerosis, and OSCC was significantly higher than in normal mucosa. Apoptosis in BLOM and oral precancerosis was significantly higher than in OSCC and normal mucosa.CONCLUSION: Benign lymphoadenosis of oral mucosa has potentialities of cancerization.

  15. Benign nerve sheath tumor of stomach

    International Nuclear Information System (INIS)

    Gastrointestinal mesenchymal tumors are a group of tumors, which originate from the mesenchymal stem cells of the gastrointestinal tract. Gastric schwannoma is a very rare gastrointestinal mesenchymal tumor, which represents only 0.2% of all gastric tumors and 4% of all benign gastric neoplasms. We report a 55 years old lady who suffered from pain epigastrium, vomiting, occasionally with blood, loss of appetite and weight loss. Endoscopic examination showed a round submucosal tumor with a central ulceration along the greater curvature of the stomach. The pathological examination revealed a picture of spindle cell tumor. Immunohistochemical stain was strongly positive for S-100 protein stain, and non-reactive for CD34, CD117, consistent with benign nerve sheath tumor of stomach i.e. gastric schwannoma. (author)

  16. Benign solitary solid cold thyroid nodules

    DEFF Research Database (Denmark)

    Døssing, Helle; Bennedbaek, Finn Noe; Karstrup, Steen;

    2002-01-01

    PURPOSE: To evaluate the effects of ultrasonography (US)-guided interstitial laser photocoagulation (ILP) on the volume of benign solitary solid cold thyroid nodules and any nodule-related symptoms. MATERIALS AND METHODS: ILP was performed in 16 patients with normal thyroid function and a solid...... benign thyroid nodule. None of the patients had uptake on a radionuclide scan. Patients underwent one ILP session. A needle was positioned in the thyroid nodule with US guidance, and the laser fiber was placed in the lumen of the needle. Patients were treated for 287-1,200 seconds with an output power of...... 1-3 W. ILP was performed with continuous US guidance and terminated when the echogenic changes were stationary. Thyroid nodule volume and thyroid function were evaluated before and 1, 3, and 6 months after treatment. During the same period, 15 untreated patients (control group) were followed up to...

  17. Radiotherapy in benign uterine bleeding disorders

    International Nuclear Information System (INIS)

    Radiotherapy was earlier a method of choice for treatment of benign bleeding disorders (metropathia), especially in woman of high surgical risk. During the period 1912 to 1977 933 women with benign bleeding disorders were treated at Radiumhemmet with intracavitary brachytherapy or external irradiation or a combination of both. The result with regard to cure of the uterine bleedings was good (48%). Hormonal withdrawal symptoms after treatment were noted in 45% of the patients. In the long term follow up an increased risk of cardiovascular death was found in women treated before menopause. Malignant tumours occurred in 107 cases versus 90.2 expected. The estimated ovarian dose of ionizing radiation varied from 3.5 Gy to 6.0 Gy for the three standard techniques. Two women gave birth to a healthy child 4 and 5 years after intracavitary radium treatment. The estimated absorbed dose to the ovaries in these two women were 1 Gy and 4 Gy, respectively

  18. Endoscopic therapy of benign biliary strictures

    Institute of Scientific and Technical Information of China (English)

    Joel R Judah; Peter V Draganov

    2007-01-01

    Benign biliary strictures are being increasingly treated with endoscopic techniques. The benign nature of the stricture should be first confirmed in order to ensure appropriate therapy. Surgery has been the traditional treatment, but there is increasing desire for minimally invasive endoscopic therapy. At present, endoscopy has become the first line approach for the therapy of postliver transplant anastomotic strictures and distal (Bismuth Ⅰ and Ⅱ) post-operative strictures. Strictures related to chronic pancreatitis have proven more difficult to treat,and endoscopic therapy is reserved for patients who are not surgical candidates. The preferred endoscopic approach is aggressive treatment with gradual dilation of the stricture and insertion of multiple plastic stents. The use of uncovered self expandable metal stents should be discouraged due to poor long-term results. Treatment with covered metal stents or bioabsorbable stents warrants further evaluation. This area of therapeutic endoscopy provides an ongoing opportunity for fresh research and innovation.

  19. Desmoplastic infantile ganglioglioma: a questionably benign tumour

    International Nuclear Information System (INIS)

    Desmoplastic infantile ganglioglioma is a rare intracranial tumour of childhood that involves the cerebral cortex and the leptomeninges. We report two patients with desmoplastic infantile gangliogliomas and multiple cerebrospinal metastases. To our knowledge, only two similar cases have been reported in the published literature. Pathologically, this rare intracranial tumour shows glial and ganglionic differentiation, accompanied by an extreme desmoplastic reaction. These are low-grade neoplasms that are questionably benign. Copyright (2005) Blackwell Science Pty Ltd

  20. Case report: Benign porta hepatic schwannoma

    International Nuclear Information System (INIS)

    Schwannoma is a myelin sheath tumor that can occur almost anywhere in the body. The most common locations are the central nervous system, extremities, neck, mediastinum and retroperitoneum. Benign schwannomas in the porta hepatis are extremely rare and radiologically are diagnosed as either enlarged lymph nodes or bowel masses, such as gastrointestinal stromal tumors. In this location they usually produce symptoms by compressing adjacent structures and often present with obstructive jaundice. The preoperative diagnosis can be extremely difficult

  1. Benign Intracranial Hypertension: A Diagnostic Dilemma

    OpenAIRE

    Shaw, Gary Y.; Stephanie K. Million

    2012-01-01

    Benign intracranial hypertension (BIH) (also known as pseudotumor cerebri and empty sella syndrome) remains a diagnostic challenge to most physicians. The modified Dandy criteria consist of, the classic findings of headache, pulsatile tinnitus, papilledema, and elevated cerebrospinal fluid (CSF) pressure, however, these are rarely collectively present in any one patient. Furthermore, these findings can wax and wane over time. Due to the nature of this disease, both signs and symptoms may be i...

  2. Percutaneous treatment of benign bile duct strictures

    Energy Technology Data Exchange (ETDEWEB)

    Koecher, Martin [Department of Radiology, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic)]. E-mail: martin.kocher@seznam.cz; Cerna, Marie [Department of Radiology, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic); Havlik, Roman [Department of Surgery, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic); Kral, Vladimir [Department of Surgery, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic); Gryga, Adolf [Department of Surgery, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic); Duda, Miloslav [Department of Surgery, University Hospital, I.P.Pavlova 6, 775 20 Olomouc (Czech Republic)

    2007-05-15

    Purpose: To evaluate long-term results of treatment of benign bile duct strictures. Materials and methods: From February 1994 to November 2005, 21 patients (9 men, 12 women) with median age of 50.6 years (range 27-77 years) were indicated to percutaneous treatment of benign bile duct stricture. Stricture of hepatic ducts junction resulting from thermic injury during laparoscopic cholecystectomy was indication for treatment in one patient, stricture of hepaticojejunostomy was indication for treatment in all other patients. Clinical symptoms (obstructive jaundice, anicteric cholestasis, cholangitis or biliary cirrhosis) have appeared from 3 months to 12 years after surgery. Results: Initial internal/external biliary drainage was successful in 20 patients out of 21. These 20 patients after successful initial drainage were treated by balloon dilatation and long-term internal/external drainage. Sixteen patients were symptoms free during the follow-up. The relapse of clinical symptoms has appeared in four patients 9, 12, 14 and 24 months after treatment. One year primary clinical success rate of treatment for benign bile duct stricture was 94%. Additional two patients are symptoms free after redilatation (15 and 45 months). One patient is still in treatment, one patient died during secondary treatment period without interrelation with biliary intervention. The secondary clinical success rate is 100%. Conclusion: Benign bile duct strictures of hepatic ducts junction or biliary-enteric anastomosis are difficult to treat surgically and endoscopically inaccessible. Percutaneous treatment by balloon dilatation and long-term internal/external drainage is feasible in the majority of these patients. It is minimally invasive, safe and effective.

  3. Large Penile Mass With Unusual Benign Histopathology.

    Science.gov (United States)

    Johnson, Nate; Voznesensky, Maria; VerLee, Graham

    2015-09-01

    Pseudoepitheliomatous hyperplasia is an extremely rare condition presenting as a lesion on the glans penis in older men. Physical exam without biopsy cannot differentiate malignant from nonmalignant growth. We report a case of large penile mass in an elderly male with a history of lichen sclerosis, highly suspicious for malignancy. Subsequent surgical removal and biopsy demonstrated pseudoepitheliomatous hyperplasia, an unusual benign histopathologic diagnosis with unclear prognosis. We review the literature and discuss options for treatment and surveillance. PMID:26793536

  4. Large Penile Mass With Unusual Benign Histopathology

    Directory of Open Access Journals (Sweden)

    Nate Johnson

    2015-09-01

    Full Text Available Pseudoepitheliomatous hyperplasia is an extremely rare condition presenting as a lesion on the glans penis in older men. Physical exam without biopsy cannot differentiate malignant from nonmalignant growth. We report a case of large penile mass in an elderly male with a history of lichen sclerosis, highly suspicious for malignancy. Subsequent surgical removal and biopsy demonstrated pseudoepitheliomatous hyperplasia, an unusual benign histopathologic diagnosis with unclear prognosis. We review the literature and discuss options for treatment and surveillance.

  5. Surgical therapy of benign pineal tumors

    International Nuclear Information System (INIS)

    Currently, there is no way that the author knows to satisfactorily distinguish the benign lesions from their malignant cousins without a shadow of doubt. This includes preoperative evaluation of the clinical history, biological markers in serum and CSF, CT scans with and without contrast in various projections including the horizontal, coronal and sagittal cuts, and arteriography. Because the author has personally encountered difficulty in precisely diagnosing these tumors at routine light microscopy, especially when fragments are small, he has a personal aversion to the technique of diagnosis which enlists the use of a stereotactically placed biopsy needle. The author feels that virtually all of the pineal tumors require surgical exposure and sufficient tissue removal to ensure an accurate histological diagnosis. With experience, the author believes the surgeon can tell as he exposes the posterior and lateral aspects of these tumors whether or not they are encapsulated and therefore potentially resectable. This anatomical variation may be identified prior to operative intervention by an arteriogram especially with injection of large quantities of dye into the carotid system. With the advent of the CUSA (Cavitron Lasersonics, Cooper Medical Device Corporation, Stamford, CT), the author has used this instrument with increased facility and benefit in the removal of benign relatively avascular tumors of the pineal region. This instrument is ideal in coring out the interior of the tumor while creating little displacement of the tumor capsule. Some of the benign tumors, especially the meningiomas may be partially or heavily calcified and this instrument exhibits particular usefulness in these cases

  6. A study of benign adnexal masses

    Directory of Open Access Journals (Sweden)

    Jayasree Manivasakan

    2012-12-01

    Full Text Available Background: To study the relationship between age, symptoms, ultrasound findings, size and histological type of benign adnexal masses. Methods: Clinical records were retrieved of women who had surgical management for adnexal tumors in the study period, i.e. from January 2007 to December 2010 at Sri Manakula Vinayagar Medical College and Hospital, Puducherry. Results: There were 112 cases of ovarian tumors and tumor like lesions. 70.5% were diagnosed as ovarian tumors, 12.5% were functional cysts, 10.7% were paraovarian and paratubal cysts, 6.25% were hemorrhagic infarct where histopathology could not be reported. The age of the patient ranged from 11 to 70 years. Most of the patients (70.5% presented with abdominal pain either acute or chronic. Serous cystadenoma was the most common reported ovarian tumor (59.5% followed by mucinous cystadenoma (20% and mature cystic teratoma (14%. The cystic tumors were either functional cysts or benign tumors. Conclusions: The commonest tumor was surface epithelial tumor. Serous cystadenoma was the most common benign tumor. Serous and mucinous tumors occurred equally on both sides. The accuracy of preoperative ultrasound was higher in dermoid cysts followed by endometriotic cysts. [Int J Reprod Contracept Obstet Gynecol 2012; 1(1.000: 12-16

  7. Environmentally benign silicon solar cell manufacturing

    Energy Technology Data Exchange (ETDEWEB)

    Tsuo, Y.S. [National Renewable Energy Lab., Golden, CO (United States); Gee, J.M. [Sandia National Labs., Albuquerque, NM (United States); Menna, P. [National Agency for New Technologies Energy and Environment, Portici (Italy); Strebkov, D.S.; Pinov, A.; Zadde, V. [Intersolarcenter, Moscow (Russian Federation)

    1998-09-01

    The manufacturing of silicon devices--from polysilicon production, crystal growth, ingot slicing, wafer cleaning, device processing, to encapsulation--requires many steps that are energy intensive and use large amounts of water and toxic chemicals. In the past two years, the silicon integrated-circuit (IC) industry has initiated several programs to promote environmentally benign manufacturing, i.e., manufacturing practices that recover, recycle, and reuse materials resources with a minimal consumption of energy. Crystalline-silicon solar photovoltaic (PV) modules, which accounted for 87% of the worldwide module shipments in 1997, are large-area devices with many manufacturing steps similar to those used in the IC industry. Obviously, there are significant opportunities for the PV industry to implement more environmentally benign manufacturing approaches. Such approaches often have the potential for significant cost reduction by reducing energy use and/or the purchase volume of new chemicals and by cutting the amount of used chemicals that must be discarded. This paper will review recent accomplishments of the IC industry initiatives and discuss new processes for environmentally benign silicon solar-cell manufacturing.

  8. Investigating social cognition in infants and adults using dense array electroencephalography ((d)EEG).

    Science.gov (United States)

    Akano, Adekemi J; Haley, David W; Dudek, Joanna

    2011-01-01

    Dense array electroencephalography ((d)EEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology¹, ² is being used increasingly in the study of social cognitive functioning in infants and adults. While (d)EEG is enabling researchers to examine brain activity patterns with unprecedented levels of sensitivity, conventional EEG recording systems continue to face certain limitations, including 1) poor spatial resolution and source localization³,⁴2) the physical discomfort for test subjects of enduring the individual application of numerous electrodes to the surface of the scalp, and 3) the complexity for researchers of learning to use multiple software packages to collect and process data. Here we present an overview of an established methodology that represents a significant improvement on conventional methodologies for studying EEG in infants and adults. Although several analytical software techniques can be used to establish indirect indices of source localization to improve the spatial resolution of (d)EEG, the HydroCel Geodesic Sensor Net (HCGSN) by Electrical Geodesics, Inc. (EGI), a dense sensory array that maintains equal distances among adjacent recording electrodes on all surfaces of the scalp, further enhances spatial resolution⁴,⁵(,)⁶ compared to standard (d)EEG systems. The sponge-based HCGSN can be applied rapidly and without scalp abrasion, making it ideal for use with adults⁷,⁸ children⁹,¹⁰, ¹¹,¹² and infants¹², in both research and clinical ⁴,⁵,⁶,¹³,¹⁴,¹⁵settings. This feature allows for considerable cost and time savings by decreasing the average net application time compared to other (d)EEG systems. Moreover, the HCGSN includes unified, seamless software applications for all phases of data, greatly simplifying the collection, processing, and analysis of (d)EEG data. The HCGSN features a low-profile electrode

  9. Electroencephalographic (EEG) Photoparoxysmal Responses Under 5 Years of Age: Diagnostic Implications and Peculiarities.

    Science.gov (United States)

    Binelli, Simona; Ragona, Francesca; Canafoglia, Laura; Freri, Elena; Saletti, Veronica; Casazza, Marina; Gilioli, Isabella; D'Arrigo, Stefano; Visani, Elisa; Panzica, Ferruccio; Granata, Tiziana; Riva, Daria; Franceschetti, Silvana

    2015-11-01

    Electroencephalographic (EEG) photoparoxysmal response has been little investigated in very young patients. We studied 5055 patients aged less than 5 years with no acquired brain damage, who underwent EEG recording. We determined the prevalence and significance of photoparoxysmal response induced by 1 to 20 Hz photic stimulation. Fifty-three showed photoparoxysmal response and were diagnosed as having Dravet syndrome (11), epileptic encephalopathy with myoclonic seizures (8), neurodegenerative disorders (8), benign idiopathic epilepsies (9), and static disorders with a known or suspected genetic origin (17). Photoparoxysmal response occurred in response to 1 to 5 Hz trains in 41.5% subjects. In most patients with epileptic encephalopathies, photoparoxysmal response was a transient finding: in 53.2%, it failed to be replicated in the recordings performed more than 6 months after initial evaluation. Photoparoxysmal response is rare in patients aged less than 5 years and has some peculiarities such as occurrence with low-frequency stimuli. Its distribution in specific conditions indicates that photoparoxysmal response may be useful in diagnostic workup. PMID:25944474

  10. 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.

  11. Interictal functional connectivity of human epileptic networks assessed by intracerebral EEG and BOLD signal fluctuations.

    Directory of Open Access Journals (Sweden)

    Gaelle Bettus

    Full Text Available In this study, we aimed to demonstrate whether spontaneous fluctuations in the blood oxygen level dependent (BOLD signal derived from resting state functional magnetic resonance imaging (fMRI reflect spontaneous neuronal activity in pathological brain regions as well as in regions spared by epileptiform discharges. This is a crucial issue as coherent fluctuations of fMRI signals between remote brain areas are now widely used to define functional connectivity in physiology and in pathophysiology. We quantified functional connectivity using non-linear measures of cross-correlation between signals obtained from intracerebral EEG (iEEG and resting-state functional MRI (fMRI in 5 patients suffering from intractable temporal lobe epilepsy (TLE. Functional connectivity was quantified with both modalities in areas exhibiting different electrophysiological states (epileptic and non affected regions during the interictal period. Functional connectivity as measured from the iEEG signal was higher in regions affected by electrical epileptiform abnormalities relative to non-affected areas, whereas an opposite pattern was found for functional connectivity measured from the BOLD signal. Significant negative correlations were found between the functional connectivities of iEEG and BOLD signal when considering all pairs of signals (theta, alpha, beta and broadband and when considering pairs of signals in regions spared by epileptiform discharges (in broadband signal. This suggests differential effects of epileptic phenomena on electrophysiological and hemodynamic signals and/or an alteration of the neurovascular coupling secondary to pathological plasticity in TLE even in regions spared by epileptiform discharges. In addition, indices of directionality calculated from both modalities were consistent showing that the epileptogenic regions exert a significant influence onto the non epileptic areas during the interictal period. This study shows that functional

  12. Decoding sequence learning from single-trial intracranial EEG in humans.

    Directory of Open Access Journals (Sweden)

    Marzia De Lucia

    Full Text Available We propose and validate a multivariate classification algorithm for characterizing changes in human intracranial electroencephalographic data (iEEG after learning motor sequences. The algorithm is based on a Hidden Markov Model (HMM that captures spatio-temporal properties of the iEEG at the level of single trials. Continuous intracranial iEEG was acquired during two sessions (one before and one after a night of sleep in two patients with depth electrodes implanted in several brain areas. They performed a visuomotor sequence (serial reaction time task, SRTT using the fingers of their non-dominant hand. Our results show that the decoding algorithm correctly classified single iEEG trials from the trained sequence as belonging to either the initial training phase (day 1, before sleep or a later consolidated phase (day 2, after sleep, whereas it failed to do so for trials belonging to a control condition (pseudo-random sequence. Accurate single-trial classification was achieved by taking advantage of the distributed pattern of neural activity. However, across all the contacts the hippocampus contributed most significantly to the classification accuracy for both patients, and one fronto-striatal contact for one patient. Together, these human intracranial findings demonstrate that a multivariate decoding approach can detect learning-related changes at the level of single-trial iEEG. Because it allows an unbiased identification of brain sites contributing to a behavioral effect (or experimental condition at the level of single subject, this approach could be usefully applied to assess the neural correlates of other complex cognitive functions in patients implanted with multiple electrodes.

  13. Non- Invasive EEG-based BCI system for Left or Right Hand Movement

    Directory of Open Access Journals (Sweden)

    Mai S. Mabrouk

    2011-09-01

    Full Text Available A brain computer interface (BCI records the activation of the brain and classifies it into different classes. BCIs can be used by both severely motor disabled as well as healthy people to control devices. The study addresses the development and application of a novel medical technology to measure a patient’s brain activity, translated it with intelligent software, and uses the translated signals to drive patient-specific effectors. In this work, the EEG pattern recognition approach is used based on brain computer interfaces for moving hands right and left. Electroencephalographic (EEG signals produced by the brain were used as input to the proposed BCI system. There are two BCI approaches used in this paper; the offline BCI approach and the online BCI approach. In the offline approach, the Dataset of motor imagery EEG recordings is used, while in the online approach we used our own BCI system to capture EEG recordings. The practical online testing demonstrates the feasibility of using the proposed system with the ability of real-time processing, automatic analysis. The Principle Component Analysis (PCA is used for both artifact removal and feature extraction. Wavelet Transformation is also developed to extract the important information from EEG recordings. The K-Nearest-Neighbor (KNN and Neural Networks (NNs classifiers were used to find out what the user wants. The results show that we can effectively classify two kinds of tasks based on both BCI approaches with best predictive accuracy of 99.2% for offline approach and 98 % for online approach when wavelet transform and Neural Networks used together. This gives an ideal solution for people with severe neuromuscular disorders, such as Amyotrophic Lateral Sclerosis (ALS or spinal cord injury, people who are totally paralyzed, or “locked-in”, help them to have a communication channel with others.

  14. Functional community analysis of brain: a new approach for EEG-based investigation of the brain pathology.

    Science.gov (United States)

    Ahmadlou, Mehran; Adeli, Hojjat

    2011-09-15

    Analysis of structure of the brain functional connectivity (SBFC) is a fundamental issue for understanding of the brain cognition as well as the pathology of brain disorders. Analysis of communities among sub-parts of a system is increasingly used for social, ecological, and other networks. This paper presents a new methodology for investigation of the SBFC and understanding of the brain based on graph theory and community pattern analysis of functional connectivity graph of the brain obtained from encephalograms (EEGs). The methodology consists of three main parts: fuzzy synchronization likelihood (FSL), community partitioning, and decisions based on partitions. As an example application, the methodology is applied to analysis of brain of patients with attention deficit/hyperactivity disorder (ADHD) and the problem of discrimination of ADHD EEGs from healthy (non-ADHD) EEGs. PMID:21586331

  15. The default mode network and EEG α oscillations: an independent component analysis.

    Science.gov (United States)

    Knyazev, Gennady G; Slobodskoj-Plusnin, Jaroslav Y; Bocharov, Andrey V; Pylkova, Liudmila V

    2011-07-21

    The default mode network (DMN) has been principally investigated using positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) and has received mixed support in electroencephalographic (EEG) studies. In particular, the existing evidence is too inconsistent to allow formulation of specific hypotheses linking DMN activity to traditional EEG frequency bands. In this study, we aimed to test whether blind decomposition methods are able to identify in EEG data spatial patterns resembling the DMN as it is described in PET and fMRI studies. Further we aimed to test a degree of task-relatedness of DMN patterns identified in the traditional EEG frequency bands. To answer these questions we collected data both in a resting state and during performance of two experimental tasks: an explicit judgment of facial affect and a social game task. Individual differences in amount of self-referential thoughts during the resting state were measured by a short self-report scale. Only alpha band spatial patterns simultaneously showed a considerable overlap with the DMN and high correlations with presumptive DMN function-related outcomes both in the resting state and during the social game task. Spontaneous self-referential thoughts were associated with enhanced alpha activity in the posterior DMN hub, whereas processing of DMN function-related external stimuli disrupted this activity and simultaneously caused partial alpha phase-locking to external events. This evidence implies that synchronization of internal mental processes, as opposed to the processing of external stimuli, might be the primary function of alpha oscillations which is bound to be related to activity of the DMN. PMID:21683942

  16. 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.

  17. Analysis of the Temporal Organization of Sleep Spindles in the Human Sleep EEG Using a Phenomenological Modeling Approach

    OpenAIRE

    Olbrich, Eckehard; Achermann, Peter

    2008-01-01

    The sleep electroencephalogram (EEG) is characterized by typical oscillatory patterns such as sleep spindles and slow waves. Recently, we proposed a method to detect and analyze these patterns using linear autoregressive models for short (≈ 1 s) data segments. We analyzed the temporal organization of sleep spindles and discuss to what extent the observed interevent intervals correspond to properties of stationary stochastic processes and whether additional slow processes, such as slow oscilla...

  18. Analysis of the temporal organization of sleep spindles in the human sleep EEG using a phenomenological modeling approach.

    OpenAIRE

    Olbrich, E; Achermann, P

    2008-01-01

    The sleep electroencephalogram (EEG) is characterized by typical oscillatory patterns such as sleep spindles and slow waves. Recently, we proposed a method to detect and analyze these patterns using linear autoregressive models for short (≈ 1 s) data segments. We analyzed the temporal organization of sleep spindles and discuss to what extent the observed interevent intervals correspond to properties of stationary stochastic processes and whether additional slow processes, such as slow oscilla...

  19. EEG and autonomic arousal measures in schizophrenics.

    Science.gov (United States)

    Joseph, C

    1989-04-01

    EEG and autonomic indices were measured in basal, tonic, and phasic conditions in order to delineate the nature of arousal dysfunction in schizophrenics as compared to normals. The experimental procedure involved six continuous recording sessions consisting of a basal recording before and after four experimental series. Sequentially, these were the visual nonsignal (VNS), the auditory nonsignal (ANS), the visual signal (VS), and the auditory signal (AS) series. The main findings indicated significant differences between the two groups in cardiovascular indices during the basal and tonic conditions and in the EEG and EMG indices of phasic response. These results suggest a dysfunction of basal and tonic autonomic arousal and a modulatory impairement of the central phasic arousal reaction. The findings are in accordance with the two arousal hypothesis postulated by Routtenberg (1968) and disconfirm the unitary concept of arousal for the explanation of psychophysiological abnormality in schizophrenia. PMID:2744968

  20. Standardized computer-based organized reporting of EEG

    DEFF Research Database (Denmark)

    Beniczky, Sándor; Aurlien, Harald; Brøgger, Jan C;

    2013-01-01

    The electroencephalography (EEG) signal has a high complexity, and the process of extracting clinically relevant features is achieved by visual analysis of the recordings. The interobserver agreement in EEG interpretation is only moderate. This is partly due to the method of reporting the findings...... in free-text format. The purpose of our endeavor was to create a computer-based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video-EEG recordings......). A working group of EEG experts took part in consensus workshops in Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan-European review...

  1. 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...

  2. A Study of the effect of sound on EEG

    Directory of Open Access Journals (Sweden)

    Renu Bhoria,

    2013-01-01

    Full Text Available This paper presents a brief study of various effects of sound on the human brain activity. This can be shown through the study of EEG signal recorded. The effect is in the form of variation in either frequency or in the power of different EEG bands. A biomedical signal electroencephalography (EEG reflects the state of mind and is often used to verify the influence of music on human brain activity. In fact EEG signals are related to the characteristic parameters of brain electrical activity. Moreover as our mind state changes EEG changes accordingly. The raw EEG cannot be observed or used efficiently. Hence various techniques like time frequency analysis has been employed to read the effects.

  3. Identifying Periods of Drowsy Driving Using EEG

    OpenAIRE

    Brown, Timothy; Johnson, Robin; Milavetz, Gary

    2013-01-01

    Drowsy driving is a significant contributor to death and injury crashes on our nation’s highways. Predictive neurophysiologic/physiologic solutions to reduce these incidences have been proposed and developed. EEG based metrics were found to be promising in initial studies, but remain controversial in their efficacy, primarily due to failures to develop replication studies within the simulation settings used for development, and real-world validation. This analysis sought to address these shor...

  4. EEG microstates during resting represent personality differences

    OpenAIRE

    Schlegel, Felix; Lehmann, Dietrich; Faber, Pascal L.; Milz, Patricia; Gianotti, Lorena R R

    2011-01-01

    We investigated the spontaneous brain electric activity of 13 skeptics and 16 believers in paranormal phenomena; they were university students assessed with a self-report scale about paranormal beliefs. 33-channel EEG recordings during no-task resting were processed as sequences of momentary potential distribution maps. Based on the maps at peak times of Global Field Power, the sequences were parsed into segments of quasi-stable potential distribution, the 'microstates'. The microstates were ...

  5. Different Ways of EEG Data Analysis

    Czech Academy of Sciences Publication Activity Database

    Chládek, Jan; Nestrašil, I.; Jurák, Pavel; Halámek, Josef

    Smolenice : Institute of Measurement Science SAS, 2003, s. 208 - 210. ISBN 80-967402-6-1. [Measurement 2003. Smolenice (SK), 15.06.2003-19.06.2003] R&D Projects: GA ČR GA102/02/1339; GA ČR GP102/03/P175 Institutional research plan: CEZ:AV0Z2065902 Keywords : EEG signal processing * averaging * segmentation Subject RIV: FA - Cardiovascular Diseases incl. Cardiotharic Surgery

  6. EEG Signal Processing for BCI Applications

    OpenAIRE

    Roman-Gonzalez, Avid

    2012-01-01

    In this article we offer a communication system to people who undergo a severe loss of motor function as a result of various accidents and/or diseases so that they can control and interact better with the environment, for which a braincomputer interface has been implemented through the acquisition of EEG signals by electrodes and implementation of algorithms to extract characteristics and execute a method of classification that would interpret these signals and execute corresponding actions T...

  7. Functional Mapping with Simultaneous MEG and EEG

    OpenAIRE

    Liu, Hesheng; Tanaka, Naoaki; Stufflebeam, Steven; Ahlfors, Seppo; Hämäläinen, Matti

    2010-01-01

    We use magnetoencephalography (MEG) and electroencephalography (EEG) to locate and determine the temporal evolution in brain areas involved in the processing of simple sensory stimuli. We will use somatosensory stimuli to locate the hand somatosensory areas, auditory stimuli to locate the auditory cortices, visual stimuli in four quadrants of the visual field to locate the early visual areas. These type of experiments are used for functional mapping in epileptic and brain tumor patients to lo...

  8. Redundant Rules Detection in EEG Fuzzy Classifier

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Los Alamitos: IEEE, 2009, s. 177-181. ISBN 978-1-4244-4111-2. [INES 2009. International Conference on Intelligent Engineering Systems /13./. Barbados (BB), 16.04.2009-18.04.2009] R&D Projects: GA MŠk ME 949; GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG spectrograms * microsleeps detection * implicative fuzzy system * redundancy Subject RIV: IN - Informatics, Computer Science

  9. EEG-based characterization of flicker perception

    OpenAIRE

    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 frequency and/or harmonics. The phase and amplitude of the SSVEP are sensitive to stimulus parameters such as frequency, modu-lation depth, and spatial frequency. Research related to SSVEP and the human...

  10. Benign schwannoma of the maxillary antrum.

    Science.gov (United States)

    Hegde, Oshin; Desai, Dinkar; Bhandarkar, Gowri P; Paul, Tony

    2016-01-01

    Schwannoma also known commonly as neurilemmoma and schwann cell tumor is a benign nerve sheath tumor. About 1/3(rd) cases of schwannoma arise from the head and neck region but rarely from the nasal and paranasal sinuses. The recurrence rate in these cases has reported to be very rare. We report a rare case of schwannoma in a 60-year-old woman arising from the maxillary sinus further eroding the orbital floor and nasal bone. We have also described the clinical presentation, radiological, histological findings, and management of the case. PMID:27095911

  11. Benign intracranial hypertension diagnosed with bilateral papilloedema

    Directory of Open Access Journals (Sweden)

    K. C. Phillips

    2013-12-01

    Full Text Available This article presents a case of benign intracranial hypertension (BIH diagnosed from the presence of papilloedema. This potentially sight-threatening condition particularly affects younger obese females and can be idiopathic, caused by adverse reaction to certain prescription medications or by systemic disease. Prompt treatment is essentialto avoid optic atrophy and low energy diet and exercise forms part of long-term treatment to avoid relapse. Optometrists can play a critical primary health care role in the detection of papilloedema and referring appropriately.

  12. Impact of radiation therapy for benign diseases

    International Nuclear Information System (INIS)

    Radiation therapy of benign diseases represent a wide panel of indications. Some indications are clearly identified as treatment of arteriovenous malformations (AVM), hyperthyroid ophthalmopathy, postoperative heterotopic bone formations or keloid scars. Some indications are under evaluation as complications induced by neo-vessels of age-related macular degeneration or coronary restenosis after angioplasty. Some indications remain controversial with poor evidence of efficiency as treatment of bursitis, tendinitis or Dupuytren's disease. Some indications are now obsolete such as warts, or contra-indicated as treatment of infant and children. (authors)

  13. OTC tamsulosin for benign prostatic hyperplasia.

    Science.gov (United States)

    2010-10-01

    Earlier this year, tamsulosin, an alpha blocker previously only available on prescription, became available for sale by pharmacists as a treatment for functional symptoms of benign prostatic hyperplasia (BPH) in men aged 45-75 years (Flomax Relief MR - Boehringer Ingelheim). A television advert for the over-the-counter (OTC) product claims that it is a "simple and effective" treatment that can relieve symptoms within 1 week, allowing the user to "take control of your annoying pee problems".¹ Here we review the evidence on tamsulosin and assess whether its availability as an OTC product confers worthwhile advantages. PMID:20926447

  14. Driver’s alertness detection for based on eye blink duration via EOG & EEG

    Directory of Open Access Journals (Sweden)

    Yash S. Desai

    2012-12-01

    Full Text Available This paper presents an EEG-EOG based alertness detection system for vehicle drivers. As lots of algorithms based on signal processing of EEG, EOG, facial EMG & facial gesture image processing. Though these have disadvantages that complex in nature. Our algorithm is based on measure of time duration between blink movements of eye. Normal time duration between eye blink patterns is measured by several observations. Algorithm is set such that If the time duration between blink patterns is more than normal than person may napped or not in alert stage. The basic EEG-EOG acquisition system is made and time duration algorithm set through signal processing tool kit in mat lab. Time duration between blink signals crosses the sated reference time that means driver is obviously in abnormal stage maybe in napped or fatigue condition. However both dangerous for driving. We can also design simple hardware, just measuring time duration between two consecutive picks of blink signal which is as same as measure of ECG R to R interval circuit and when we find time duration just beyond reference time we have to trigger on devices that make driver alert or we can give that impulse to device such as energy pulse generator, speaker to make driver alert and that can easily prevent threats of sudden accident.

  15. Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface

    Directory of Open Access Journals (Sweden)

    Liqing Zhang

    2007-08-01

    Full Text Available Brain-computer interface (BCI systems create a novel communication channel from the brain to an output device bypassing conventional motor output pathways of nerves and muscles. Modern BCI technology is essentially based on techniques for the classification of single-trial brain signals. With respect to the topographic patterns of brain rhythm modulations, the common spatial patterns (CSPs algorithm has been proven to be very useful to produce subject-specific and discriminative spatial filters; but it didn't consider temporal structures of event-related potentials which may be very important for single-trial EEG classification. In this paper, we propose a new framework of feature extraction for classification of hand movement imagery EEG. Computer simulations on real experimental data indicate that independent residual analysis (IRA method can provide efficient temporal features. Combining IRA features with the CSP method, we obtain the optimal spatial and temporal features with which we achieve the best classification rate. The high classification rate indicates that the proposed method is promising for an EEG-based brain-computer interface.

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

    OpenAIRE

    Hofmeijer, Jeannette; Beernink, T.M.J.; Bosch, F.H.; Beishuizen, Albertus; Tjepkema-Cloostermans, Marleen C; Putten, van, T.

    2015-01-01

    Objectives: Early identification of potential recovery of postanoxic coma is a major challenge. We studied the additional predictive value of EEG. Methods: 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 (continu...

  17. Detection the Character Wave in Epileptic EEG by Wavelet

    Institute of Scientific and Technical Information of China (English)

    CHEN Huafu; NIU Hai

    2004-01-01

    Human epilepsy is an intrinsic brain pathology,which can be characterized by repetitive high-amplitude electroencephalograph (EEG) activity.The wavelet transform provides an important tool in signal analysis and feature extraction.In this paper,the modulus maximum pair of a wavelet transform is used to detect the singularity value of the sharps and the spikes embedded in the background activities of the epilepsy EEG.The efficacy of the proposed method has been tested with clinical EEG.

  18. An empirical EEG analysis in brain death diagnosis for adults

    OpenAIRE

    Chen, Zhe; Cao, Jianting; Cao, Yang; Zhang, Yue; Gu, Fanji; Zhu, Guoxian; Zhen HONG; Wang, Bin; Cichocki, Andrzej

    2008-01-01

    Electroencephalogram (EEG) is often used in the confirmatory test for brain death diagnosis in clinical practice. Because EEG recording and monitoring is relatively safe for the patients in deep coma, it is believed to be valuable for either reducing the risk of brain death diagnosis (while comparing other tests such as the apnea) or preventing mistaken diagnosis. The objective of this paper is to study several statistical methods for quantitative EEG analysis in order to help bedside or ambu...

  19. Feature Learning from Incomplete EEG with Denoising Autoencoder

    OpenAIRE

    Li, Junhua; Struzik, Zbigniew; Zhang, Liqing; Cichocki, Andrzej

    2014-01-01

    An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signals of brain activities, and then send a command or an intent to an external interactive device, such as a wheelchair. The effectiveness of the BCI depends on the performance in decoding the EEG. Usually, the EEG is contaminated by different kinds of artefacts (e.g., electromyogram (EMG), background activity), which l...

  20. Scale-invariance of human EEG signals in sleep

    CERN Document Server

    Cai, S M; Wang, B H; Yang, H J; Zhou, P L; Zhou, T; Cai, Shi-Min; Jiang, Zhao-Hui; Wang, Bing-Hong; Yang, Hui-Jie; Zhou, Pei-Ling; Zhou, Tao

    2007-01-01

    We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By using a modified random walk method, We demonstrate that the scale-invariance is embedded in EEG signals after a detrending procedure. Further more, we study the dynamical evolution of probability density function (PDF) of the detrended EEG signals by nonextensive statistical modeling. It displays scale-independent property, which is markedly different from the turbulent-like scale-dependent PDF evolution.

  1. A review of real-time EEG sonification research

    OpenAIRE

    Väljamäe, A.; Steffert, T.; Holland, S; Marimon, X.; Benitez, R.; Mealla, S.; Oliveira, A.; Jordà, S.

    2013-01-01

    Over the last few decades there has been steady growth in research that addresses the real-time sonification of electroencephalographic (EEG) data. Diverse application areas include medical data screening, Brain Computer Interfaces (BCI), neurofeedback, affective computing and applications in the arts. The present paper presents an overview and critical review of the principal research to date in EEG data sonification. Firstly, we identify several sub-domains of real-time EEG sonification and...

  2. Identification of interictal epileptic networks from dense-EEG

    OpenAIRE

    Hassan, Mahmoud; Merlet, Isabelle; Mheich, Ahmad; Kabbara, Aya; Biraben, Arnaud; Nica, Anca; Wendling, Fabrice

    2016-01-01

    Epilepsy is a network disease. The epileptic network usually involves spatially distributed brain regions. In this context, noninvasive M/EEG source connectivity is an emerging technique to identify functional brain networks at cortical level from noninvasive recordings. In this paper, we analyze the effect of the two key factors involved in EEG source connectivity processing: i) the algorithm used in the solution of the EEG inverse problem and ii) the method used in the estimation of the fun...

  3. EEG-fMRI: novel methods for gradient artefact correction

    OpenAIRE

    Spencer, G. S.

    2015-01-01

    The general aim of the work detailed in this thesis is to improve the quality of electroencepholography (EEG) recordings acquired simultaneously with functional magnetic resonance imaging (fMRI) data. Simultaneous EEG-fMRI recordings offer significant advantages over the isolated use of each modality for measuring brain function. The high temporal resolution associated with EEG complements the high spatial resolution provided by fMRI. However, combining the two modalities can have signific...

  4. A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond*

    OpenAIRE

    Su, Kyungmin; Robbins, Kay A.

    2013-01-01

    This paper introduces a prototype framework for content-based EEG retrieval (CBER). Like content-based image retrieval, the proposed framework retrieves EEG segments similar to the query EEG segment in a large database.

  5. EEG sensorimotor correlates of translating sounds into actions

    Directory of Open Access Journals (Sweden)

    JaimeA.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.

  6. Tracking rhythm in long-term EEG recordings using empirical mode calculation.

    Science.gov (United States)

    Lipping, Tarmo; Anier, Andres; Ratsep, Indrek; Kleemann, Piret; Toome, Valdo; Jantti, Ville

    2008-01-01

    A novel algorithm for the detection and tracking of rhythmic patterns in the EEG signal is presented. The algorithm includes the following steps: 1) linear filtering using symmetric impulse response, 2) calculation of the first intrinsic mode of the filter output and 3) calculation of instantaneous frequency and amplitude using the Hilbert transform. The linear filter is adapted according to the instantaneous frequency. The algorithm is shown to perform well in tracking the alpha rhythm (the alpha coma pattern) in critically ill patients sedated with midazolam. PMID:19163489

  7. Toxic Effects Of Some Antispastic Drugs on the EEG: Some Biochemical And Immunological Studies on Rats

    Directory of Open Access Journals (Sweden)

    Fathy El-Komey, Inass EL-Gaafarawi and Hanan Moustafa

    2005-09-01

    Full Text Available The toxicity of tizanidine and baclofen was studied on male rats. The oral clinical dose of tizanidine and baclofen( 0.216 and o.54 mg/ 100g body weight / day, respectivelywas given for one, two, three and four weeks. Chronic administration of the two drugs causes damage to the lung and a significant reduction in serum and lung levels of GSH , Vit E , Vit C and SOD activity . Four weeks treatment induced significant elevation of GPX activity and MDA levels. The two drugs, also, caused inhibitory activity on proliferation of splenocyte triggered by Con A, LPS and IL-2 production cell activities. They also produced several abnormal patterns in the EEG including increased epileptiform discharges and synchronous rhythmic activity . Diffuse slowing , with increased beta and delta activity and decreased alpha activity , with superimposed beta activity were recorded. Tizanidine had more prominent effect on the EEG than baclofen .

  8. Motor imagery and EEG-based control of spelling devices and neuroprostheses.

    Science.gov (United States)

    Neuper, Christa; Müller-Putz, Gernot R; Scherer, Reinhold; Pfurtscheller, Gert

    2006-01-01

    A brain-computer interface (BCI) transforms signals originating from the human brain into commands that can control devices or applications. With this, a BCI provides a new non-muscular communication channel, which can be used to assist patients who have highly compromised motor functions. The Graz-BCI uses motor imagery and associated oscillatory EEG signals from the sensorimotor cortex for device control. As a result of research in the past 15 years, the classification of ERD/ERS patterns in single EEG trials during motor execution and motor imagery forms the basis of this sensorimotor-rhythm controlled BCI. The major frequency bands of cortical oscillations considered here are the 8-13 and 15-30 Hz bands. This chapter describes the basic methods used in Graz-BCI research and outlines possible clinical applications. PMID:17071244

  9. Multiscale AM-FM methods on EEG signals for motor task classification.

    Science.gov (United States)

    Flores Vega, Christian; Murray, Victor

    2015-08-01

    In this manuscript, we present the use of customized, multiscale amplitude-modulation frequency-modulation (AMFM) methods on electroencephalography (EEG) brain signals during the subject development a motor task: right hand and left hand. This approach is compared to various non-linear patterns and methods that have been applied in order to characterize and understand the dynamic behavior of the EEG signals. The AM-FM methods have been optimized in terms of multiscale filters for the mu band (8-12 Hz). The instantaneous AM-FM values are processed using their probability density function and classified using multiple layer perceptron (MLP) and the partial least squares regression (PLS). The system is tested using the standard BCI dataset with results with a precision to 89% and an area under the ROC to 91%. PMID:26737711

  10. Effects of sweet and bitter gustatory stimuli in anorexia nervosa on EEG frequency spectra.

    Science.gov (United States)

    Tóth, Erika; Túry, Ferenc; Gáti, Agnes; Weisz, Júlia; Kondákor, István; Molnár, Márk

    2004-05-01

    The possible differences in processing gustatory stimuli in anorexic patients compared to healthy control subjects was investigated by electrophysiological methods. The electroencephalogram (EEG) was recorded in outpatients treated with anorexia nervosa (AN) and age-matched controls after exposure to sweet (milk chocolate) and bitter (black tea) taste stimuli. Power spectrum analysis was performed on EEG epochs recorded in the above conditions. Compared to controls a significantly higher percent of theta, and lower percent of alpha1 band power was found in anorexic patients, irrespective of the kind of taste effects and hemispheric side. The pattern of activation caused by sweet and bitter stimuli was found to be different in these two groups, possibly indicating altered gustatory processing mechanisms in AN. PMID:15094251

  11. Effect of immobilization on the EEG of the baboon. Comparison with telemetry results from unrestricted animals

    Science.gov (United States)

    Bert, J.; Collomb, H.

    1980-01-01

    The EEG of the baboon was studied under two very different sets of conditions: 37 were totally immobolized while 12 were studied in their free movements with 4 channel telemetry. For the immobilzed, 3 stages were described: (1) activation, record desynchronized; (2) rest with 13-15 cm/sec rhythm, like the human alpha rhythm stage but with eyes open or closed; (3)relaxation with a decrease in 13-15 rhythm and the appearance of 5-7 cm/sec theta waves, eyelids closed, animal apparently sleeping. For the free animals the rest stage appeared when the animal's attention was not directed anywhere and there was no relaxation stage. It is concluded that the EEG pattern of the immobilized animal that was described as the "relaxation" stage really represents a special functional state which one must distinguish clearly from the physiological stages of sleep.

  12. EEG simulation by 2D interconnected chaotic oscillators

    International Nuclear Information System (INIS)

    Research highlights: → ANN of 2D interconnected chaotic oscillators is explored for EEG simulation. → An inverse problem solution (PRCGA) is proposed. → Good matching between the simulated and experimental EEG signals has been achieved. - Abstract: An artificial neuronal network composed by 2D interconnected chaotic oscillators is explored for brain waves (EEG) simulation. For the inverse problem solution a parallel real-coded genetic algorithm (PRCGA) is proposed. In order to conduct thorough comparison between the simulated and target signal characteristics, a spectrum analysis of the signals is undertaken. A good matching between the theoretical and experimental EEG signals has been achieved. Numerical results of calculations are presented and discussed.

  13. 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.

  14. Global Manufacturing Research: Experience Exchange Group (EEG) contributions

    DEFF Research Database (Denmark)

    Bruun, Peter

    The intention of this paper is to clarify if and how an ExperienceExchange Group (EEG) can be involved in a research process in the areaof industrial management. For exemplification of the topic an ongoingresearch in global manufacturing is referred to. In this research itwas after a series of...... preliminary studies found interesting to set upan EEG composed of representatives from industry and a researcher. Inthe paper some general research methods pertinent to the areaindustrial management is discussed. The EEG concept is introduced andcharacterised in comparison with the other methods. EEG...

  15. [Central EEG rhythm associated with movement and EEG rhythm associated with spatial reasoning: are they homologous?].

    Science.gov (United States)

    Tarotin, I V; Ivanitsky, G A

    2014-01-01

    EEG rhythmical picture of subject's movement suppression and spatial-figurative task solving was examined and analyzed. Rhythms appearing during spatial reasoning and suppressed movements with the frequency of about 11 Hz were isolated. It was hypothesized that a functional link exists between these rhythms in the considered behavioral tests. To test the hypothesis and to reveal this connection, experiments were developed and carried out. Then the analysis of recorded EEG signals was conducted by applying Fourier transform, independent component analysis (ICA) and equivalent dipole source localization. Unexpected conclusion about the existence of a general mechanism of movement suppression was drawn. PMID:25975138

  16. Ultrasonographic Findings of the Prostatic Disease : Comparative Analysis of the Benign and Malignant Nodules

    Energy Technology Data Exchange (ETDEWEB)

    Song, Yun Gyu; Kim, Ji Yang; Lee, Su Han; Kong, Su Jin; Sung, Young Soon; Kwon, Jae Soo [Masan Samsung General Hospital, Masan (Korea, Republic of)

    1996-06-15

    We evaluated the characteristics of the benign and malignant nodules on transrectal ultrasound in diagnosis of prostatic disease. Histologic examination of the trans perineal prostatic biopsy of the total 47 cases resulted in 19 cases of BPH, 8 cases of prostatic cancer, and 20 cases of normal prostatic tissue group. The hypoechoic mass in peripheral zone on TRUS had high possibility of prostatic carcinoma and the isoechoic or mixed echogenic mass in central gland had high possibility of benign lesion. Hypoechoic haloes around nodules and cysts were noted in BPH and normal prostatic tissue group, that were compatible with benign lesion. The mean value of PSA was 12.0 ng/ ml in BPH, 8.5 ng / ml in normal prostatic tissue group, and 65.6 ng / ml in prostatic cancer, which was very high in prostatic cancer. Between BPH and normal prostatic tissue group, there was no demonstrable difference in location of nodule, pattern of calcification, and echogenicity of the nodules on TRUS. The size of prostatic gland was relatively smaller and mean value of PSA was lower in normal prostatic tissue group, compared with in BPH. In conclusion, the location of the nodules and PSA value are considered to be important in differentiation of the benign and malignant prostatic nodules

  17. Family history of cancer in benign brain tumor subtypes versus gliomas

    Directory of Open Access Journals (Sweden)

    Quinn eOstrom

    2012-02-01

    Full Text Available Purpose: Family history is associated with gliomas, but this association has not ben established for benign brain tumors. Using information from newly diagnosed primary brain tumor patients, we describe patterns of family cancer histories in patients with benign brain tumors and compare those to patients with gliomas. Methods: Newly diagnosed primary brain tumor patients were identified as part of the Ohio Brain Tumor Study (OBTS. Each patient was asked to participate in a telephone interview about personal medical history, family history of cancer, and other exposures. Information was available from 33 acoustic neuroma (65%, 78 meningioma (65%, 49 pituitary adenoma (73.1% and 152 glioma patients (58.2%. The association between family history of cancer and each subtype was compared with gliomas using unconditional logistic regression models generating odds ratios (ORs and 95% confidence intervals (95% CI. Results: There was no significant difference in family history of cancer between patients with glioma and benign subtypes. Conclusions: The results suggest that benign brain tumor may have an association with family history of cancer. More studies are warranted to disentangle the potential genetic and/or environmental causes for these diseases.

  18. Intraosseous Benign Lesions of the Jaws: A Radiographic Study

    OpenAIRE

    Javadian Langaroodi, Adineh; Lari, Sima Sadat; Shokri, Abbas; Hoseini Zarch, Seyed Hossein; Jamshidi, Shokofeh; Akbari, Peyman

    2014-01-01

    Background: Benign maxillo-mandibular tumors and cysts, which are relatively common findings on radiographs, namely the ubiquitous panoramic view, have to be dealt with by dentists on a daily basis. Objectives: The aim of this study is to evaluate the panoramic radiographic findings pertaining to benign and tumoral lesions in the maxilla and mandible. Patients and Methods: Applying a case series method, panoramic images of 61 patients with cysts, benign tumors and tumor-like lesions in the ja...

  19. Benign Paroxysmal Positional Vertigo After Nonotologic Surgery: Case Series

    OpenAIRE

    Kansu, Leyla; Aydin, Erdinc; Gulsahi, Kamran

    2012-01-01

    Benign paroxysmal positional vertigo is one of the most common types of vertigo caused by peripheral vestibular dysfunction. Although head trauma, migraine, long-term bed rest, Ménière disease, viral labyrinthitis, and upper respiratory tract infections are believed to be predisposing factors, most cases of benign paroxysmal positional vertigo are idiopathic. Ear surgery is another cause, but after non-otologic surgery, attacks of benign paroxysmal positional vertigo are rare. We describe thr...

  20. Benign and malignant tumors of the foot and ankle

    Energy Technology Data Exchange (ETDEWEB)

    Singer, Adam D.; Datir, Abhijit; Langley, Travis [Emory University Hospital, Department of Radiology, Section of Musculoskeletal Imaging, Atlanta, GA (United States); Tresley, Jonathan [University of Wisconsin, Department of Radiology, Madison, WI (United States); Clifford, Paul D.; Jose, Jean; Subhawong, Ty K. [University of Miami, Department of Radiology, Miami, FL (United States)

    2016-03-15

    Pain and focal masses in the foot and ankle are frequently encountered and often initiate a workup including imaging. It is important to differentiate benign lesions from aggressive benign or malignant lesions. In this review, multiple examples of osseous and soft tissue tumors of the foot and ankle will be presented. Additionally, the compartmental anatomy of the foot and ankle will be discussed in terms of its relevance for percutaneous biopsy planning and eventual surgery. Finally, a general overview of the surgical management of benign, benign aggressive and malignant tumors of the foot and ankle will be discussed. (orig.)

  1. Benign and malignant tumors of the foot and ankle

    International Nuclear Information System (INIS)

    Pain and focal masses in the foot and ankle are frequently encountered and often initiate a workup including imaging. It is important to differentiate benign lesions from aggressive benign or malignant lesions. In this review, multiple examples of osseous and soft tissue tumors of the foot and ankle will be presented. Additionally, the compartmental anatomy of the foot and ankle will be discussed in terms of its relevance for percutaneous biopsy planning and eventual surgery. Finally, a general overview of the surgical management of benign, benign aggressive and malignant tumors of the foot and ankle will be discussed. (orig.)

  2. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching

    Science.gov (United States)

    Yin, Xuxian; Xu, Baolei; Jiang, Changhao; Fu, Yunfa; Wang, Zhidong; Li, Hongyi; Shi, Gang

    2015-06-01

    Objective. In order to increase the number of states classified by a brain-computer interface (BCI), we utilized a motor imagery task where subjects imagined both force and speed of hand clenching. Approach. The BCI utilized simultaneously recorded electroencephalographic (EEG) and functional near-infrared spectroscopy (fNIRS) signals. The time-phase-frequency feature was extracted from EEG, whereas the HbD [the difference of oxy-hemoglobin (HbO) and deoxy-hemoglobin (Hb)] feature was used to improve the classification accuracy of fNIRS. The EEG and fNIRS features were combined and optimized using the joint mutual information (JMI) feature selection criterion; then the extracted features were classified with the extreme learning machines (ELMs). Main results. In this study, the averaged classification accuracy of EEG signals achieved by the time-phase-frequency feature improved by 7%, to 18%, more than the single-type feature, and improved by 15% more than common spatial pattern (CSP) feature. The HbD feature of fNIRS signals improved the accuracy by 1%, to 4%, more than Hb, HbO, or HbT (total hemoglobin). The EEG-fNIRS feature for decoding motor imagery of both force and speed of hand clenching achieved an accuracy of 89% ± 2%, and improved the accuracy by 1% to 5% more than the sole EEG or fNIRS feature. Significance. Our novel motor imagery paradigm improves BCI performance by increasing the number of extracted commands. Both the time-phase-frequency and the HbD feature improve the classification accuracy of EEG and fNIRS signals, respectively, and the hybrid EEG-fNIRS technique achieves a higher decoding accuracy for two-class motor imagery, which may provide the framework for future multi-modal online BCI systems.

  3. Management of benign prostatic hyperplasia with silodosin

    Directory of Open Access Journals (Sweden)

    Tomonori Yamanishi

    2009-08-01

    Full Text Available Tomonori Yamanishi1, Tomoya Mizuno1, Takao Kamai1, Ken-ichiro Yoshida1, Ryuji Sakakibara2, Tomoyuki Uchiyama31Department of Urology, Dokkyo Medical University, Tochigi, Japan; 2Department of Neurology, Sakura Hospital, Toho University, Toho, Japan; 3Department of Neurology, Chiba University, Chiba, JapanAbstract: It has been reported that blockade of α1A-adrenoceptor (AR relieves bladder outlet obstruction, while blockade of α1D-AR is believed to alleviate storage symptoms due to detrusor overactivity. Silodosin, (--1-(3-hydroxypropyl-5-[(2R-2-({2-[2-(2,2,2trifluoroethoxy phenoxy]ethyl}aminopropyl]-2,3-dihydro-1H-indole-7- carboxamide, is a new α1A-AR selective antagonist. Silodosin is highly selective for the α1A-AR subtype, showing an affinity for the α1A-AR that is 583- and 55.5-fold higher than its affinity for the α1B- and α1D-ARs, respectively. In randomized, double-blind, placebo-controlled phase III studies performed in Japan and the United States, silodosin has been shown to be effective for both storage and voiding symptoms associated with benign prostatic hyperplasia. Early effects of silodosin (after 2–6 hours or day 1 on lower urinary tract symptoms have also been reported. In urodynamic studies, detrusor overactivity disappeared in 40% and improved in 35% of patients after administration. In pressure flow studies, the grade of obstruction on the International Continence Society nomogram showed improvement in 56% of patients. The rate of adverse events in the silodosin, tamsulosin and placebo groups was 88.6%, 82.3%, and 71.6%, respectively. The most common adverse event was (mostly mild abnormal ejaculation (28.1%. However, few patients (2.8% discontinued silodosin because of abnormal ejaculation. Orthostatic hypotension showed a similar incidence in the silodosin (2.6% and placebo (1.5% groups. In conclusion, silodosin improves detrusor overactivity and obstruction and thus may be effective for both storage and voiding

  4. Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study

    Science.gov (United States)

    Petti, Manuela; He, Eric J.; De Giusti, Vittorio; He, Bin; Astolfi, Laura; Babiloni, Fabio

    2016-01-01

    The coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on brain-to-brain cooperative interactions between civil pilots during a simulated flight. We demonstrated for the first time how the combination of neuroelectrical hyperscanning and intersubject connectivity could provide indicators sensitive to the humans’ degree of synchronization under a highly demanding task performed in an ecological environment. Our results showed how intersubject connectivity was able to i) characterize the degree of cooperation between pilots in different phases of the flight, and ii) to highlight the role of specific brain macro areas in cooperative behavior. During the most cooperative flight phases pilots showed, in fact, dense patterns of interbrain connectivity, mainly linking frontal and parietal brain areas. On the contrary, the amount of interbrain connections went close to zero in the non-cooperative phase. The reliability of the interbrain connectivity patterns was verified by means of a baseline condition represented by formal couples, i.e. pilots paired offline for the connectivity analysis but not simultaneously recorded during the flight. Interbrain density was, in fact, significantly higher in real couples with respect to formal couples in the cooperative flight phases. All the achieved results demonstrated how the description of brain networks at the basis of cooperation could effectively benefit from a hyperscanning approach. Interbrain connectivity was, in fact, more informative in the investigation of cooperative behavior with respect to established EEG signal processing methodologies applied at a single subject level. PMID:27124558

  5. The effectiveness of EEG-feedback on attention, impulsivity and EEG : A sham feedback controlled study

    NARCIS (Netherlands)

    Logemann, H. N. Alexander; Lansbergen, Marieke M.; Van Os, Titus W. D. P.; Bocker, Koen B. E.; Kenemans, J. Leon

    2010-01-01

    EEG-feedback, also called neurofeedback, is a training procedure aimed at altering brain activity, and is used as a treatment for disorders like Attention Deficit/Hyperactivity Disorder (ADHD). Studies have reported positive effects of neurofeedback on attention and other dependent variables. Howeve

  6. The effectiveness of EEG-feedback on attention, impulsivity and EEG: a sham feedback controlled study.

    NARCIS (Netherlands)

    Logemann, H.N.; Lansbergen, M.M.; Os, T.W. Van; Bocker, K.B.; Kenemans, J.L.

    2010-01-01

    EEG-feedback, also called neurofeedback, is a training procedure aimed at altering brain activity, and is used as a treatment for disorders like Attention Deficit/Hyperactivity Disorder (ADHD). Studies have reported positive effects of neurofeedback on attention and other dependent variables. Howeve

  7. Perception-related EEG is more sensitive to Alzheimer's disease effects than resting EEG.

    Science.gov (United States)

    Barzegaran, Elham; van Damme, Bart; Meuli, Reto; Knyazeva, Maria G

    2016-07-01

    To characterize the effects of Alzheimer's disease (AD) on cortical functional connectivity in perception, we analyzed interhemispheric lagged synchronization (ILS) in the source space of high-density EEG recorded in aged controls and patients with amnestic mild cognitive impairment (aMCI) or AD while they viewed collinear and noncollinear bilateral moving gratings. Beta-band ILS was lower in aMCI and AD compared with controls in a large region centered on BA39. As previously reported, in young adults, collinear iso-oriented gratings versus noncollinear gratings synchronizes EEG reflecting perceptual grouping. Only aged controls showed the expected beta-band ILS increase originating in the dorsal visual stream (BA18). The aMCI group only showed a theta-band increase in an adjacent region (BA19). In AD patients, there was no ILS increase. Regression analysis revealed that the posterior callosal area and EEG slowing predict reduction of beta but not emergence of theta ILS response. Considering that we found no between-group differences in resting ILS, perception-related EEG appears to be more sensitive to AD effects, including ILS signs of neurodegeneration and compensation. PMID:27255822

  8. Radioiodine therapy in benign thyroid diseases

    DEFF Research Database (Denmark)

    Bonnema, Steen Joop; Hegedüs, Laszlo

    2012-01-01

    Radioiodine ((131)I) therapy of benign thyroid diseases was introduced 70 yr ago, and the patients treated since then are probably numbered in the millions. Fifty to 90% of hyperthyroid patients are cured within 1 yr after (131)I therapy. With longer follow-up, permanent hypothyroidism seems...... of an exact thyroid dose is error-prone due to imprecise measurement of the (131)I biokinetics, and the importance of internal dosimetric factors, such as the thyroid follicle size, is probably underestimated. Besides these obstacles, several potential confounders interfere with the efficacy of (131...... predicts the outcome from (131)I therapy. The individual radiosensitivity, still poorly defined and impossible to quantify, may be a major determinant of the outcome from (131)I therapy. Above all, the impact of (131)I therapy relies on the iodine-concentrating ability of the thyroid gland. The thyroid...

  9. A rare case of benign omentum teratoma

    Directory of Open Access Journals (Sweden)

    Sforza Marcos

    2012-01-01

    Full Text Available Introduction. Mature teratomas (benign cystic teratomas or dermoid cysts are among the most common ovarian tumours; however, teratomas of the omentum and mesentery are extremely rare. Teratoma in the intraperitoneal cavity is uncommon and atypical, and it is even more uncommon in adulthood. Case Outline. An 82-year-old female was admitted to our department with clinical signs of abdominal tumour. The ultrasound scan and preoperative laboratory tests were done. Explorative laparotomy revealed tumour with torsion on its pedicle at the greater omentum. After removal of the mass and the incision a tooth and hair were found, characteristics of teratoma. Conclusion. The excision was very effective and also definitive treatment for this case. The patient recovered well and was discharged 3 days later. The patient probably carried the tumour all her life asymptomatically until admission.

  10. [Benign thyroid nodules: diagnostic and therapeutic approach].

    Science.gov (United States)

    Durante, Cosimo; Cava, Francesco; Paciaroni, Alessandra; Filetti, Sebastiano

    2008-05-01

    In the last years an increase in thyroid nodules detection has been reported from several epidemiological studies. This trend is largely due to the routine use of diagnostic sonography procedures in clinical practice. Thyroid nodules, both palpable or not palpable, rarely turn out to be malignant. Fine-needle aspiration cytology (FNAc) plays a central role in establishing the nature of the nodule. Excluded the presence of malignant lesions, which are generally treated with surgery, physicians are faced with a variety of therapeutic options, and choosing the optimal approach can be a difficult task. These include a periodic follow-up alone without treatment, the iodine supplementation, the thyroid-hormone suppressive therapy, the radioiodine administration, the percutaneous ethanol injections, and the new technique of laser photocoagulation. In all cases, decisions on the management of benign thyroid nodules should always be based on clinical target and a careful analysis of benefits and risks to the patient. PMID:18581970

  11. Climatic variations and benign paroxysmal positional vertigo

    Institute of Scientific and Technical Information of China (English)

    Basil M.N. Saeed; Alyaa Farouk Omari

    2016-01-01

    Benign paroxysmal positional vertigo (BPPV) is probably the most common diagnosis at vertigo clinics. Seasonal cycles of several human illnesses could be attributed variously to changes in atmospheric or weather conditions. In this retrospective study, patients with BPPV from January 2010 to December 2012 were studied, and their charts were reviewed. Statistical analysis revealed a statistically significant difference in patients' numbers among different months of the year. Also there is a significant statistical correlation between the numbers of patients with climatic variations especially the temperature. The present paper discusses the possible explanations for these results which confirms the seasonal variations in BPPV, together with a review of literature to view the possible associations with other disorders that causes such sea-sonality.

  12. The radiation therapy of benign diseases

    International Nuclear Information System (INIS)

    X-ray should only be applied when other forms of treatment of good-natured diseases do not provide equally good results. One should note that somatic lesion should be completely avoided and genetic lesion avoided to the greatest probability. One can distinguish according to ones aims between inflammation irradiation, pain irradiation, stimulation therapy and functional therapy. An indication for inflammation irradiation can be post-operative parotitis, furuncle in the face, mastitis puerperalis, panaritium ossale, recurrent sudoriparouns abscesses and repelling reactions after transplanting organs. Pain irradiation is indicated with degenerative diseases of the skeleton system. A further possible application is radiotherapy of hypotrophic processes and benign tumours. Functional radiotherapy is indicated with hyperendocrinism, neurovegetative disorders and allergies. (MG)

  13. Benign Duodenocolic Fistula: a Case Report

    Directory of Open Access Journals (Sweden)

    Marzieh Soheili

    2015-10-01

    Full Text Available Benign duodenocolic fistula (DCF, known as a fistula between the duodenum and colon with orwithout cecum of nonmalignant origin, is an unusual complication of different gastrointestinal diseases. Thepresent paper records a case in which the patient presented with chronic diarrhea, abdominal pain, weight lossas well as having a history of gastric ulcer. Most frequently the condition presents with signs ofmalabsorption such as weight loss and diarrhea, but other symptoms include nausea, vomiting (sometimeswith fecal, and abdominal pain. Gastrointestinal inflammatory conditions are the usual causes. The mostcommon ones are perforated duodenal ulcer and Crohn’s disease. Barium enemas are usually diagnostic.Treatment consists of excising the fistula and repairing the duodenal and colonic defects. Closure of thefistula provides quick relief.

  14. Palladium-Catalyzed Environmentally Benign Acylation.

    Science.gov (United States)

    Suchand, Basuli; Satyanarayana, Gedu

    2016-08-01

    Recent trends in research have gained an orientation toward developing efficient strategies using innocuous reagents. The earlier reported transition-metal-catalyzed carbonylations involved either toxic carbon monoxide (CO) gas as carbonylating agent or functional-group-assisted ortho sp(2) C-H activation (i.e., ortho acylation) or carbonylation by activation of the carbonyl group (i.e., via the formation of enamines). Contradicting these methods, here we describe an environmentally benign process, [Pd]-catalyzed direct carbonylation starting from simple and commercially available iodo arenes and aldehydes, for the synthesis of a wide variety of ketones. Moreover, this method comprises direct coupling of iodoarenes with aldehydes without activation of the carbonyl and also without directing group assistance. Significantly, the strategy was successfully applied to the synthesis n-butylphthalide and pitofenone. PMID:27377566

  15. Benign meningiomas: primary treatment selection affects survival

    International Nuclear Information System (INIS)

    Purpose: To examine the effect of primary treatment selection on outcomes for benign intracranial meningiomas at the University of Florida. Methods and Materials: For 262 patients, the impact of age, Karnofsky performance status, pathologic features, tumor size, tumor location, and treatment modality on local control and cause-specific survival was analyzed (minimum potential follow-up, 2 years; median follow-up, 8.2 years). Extent of surgery was classified by Simpson grade. Treatment groups: surgery alone (n = 229), surgery and postoperative radiotherapy (RT) (n = 21), RT alone (n = 7), radiosurgery alone (n = 5). Survival analysis: Kaplan-Meier method with univariate and multivariate analysis. Results: At 15 years, local control was 76% after total excision (TE) and 87% after subtotal excision plus RT (SE+RT), both significantly better (p = 0.0001) than after SE alone (30%). Cause-specific survival at 15 years was reduced after treatment with SE alone (51%), compared with TE (88%) or SE+RT (86%) (p = 0.0003). Recurrence after primary treatment portended decreased survival, independent of initial treatment group or salvage treatment selection (p = 0.001). Atypical pathologic features predicted reduced 15-year local control (54 vs. 71%) and cause-specific survival rates (57 vs. 86%). Multivariate analysis for cause-specific survival revealed treatment group (SE vs. others; p = 0.0001), pathologic features (atypical vs. typical; p = 0.0056), and Karnofsky performance status (≥80 vs. <80; p = 0.0153) as significant variables. Conclusion: Benign meningiomas are well managed by TE or SE+RT. SE alone is inadequate therapy and adversely affects cause-specific survival. Atypical pathologic features predict a poorer outcome, suggesting possible benefit from more aggressive treatment. Because local recurrence portends lower survival rates, primary treatment choice is important

  16. Correlations of CT and EEG findings in brain affections

    International Nuclear Information System (INIS)

    The results were compared of electroencephalography (EEG) and computerized tomography (CT) examinations of 250 patients with different brain affections. In intracranial expansive processes the pre-operative CT findings were positive in 100% cases, the EEG findings in 89.7% of cases. In severe traumatic affections the EEG and CT findings were positive in all cases, in mild injuries and post-traumatic conditions the EEG findings were more frequently positive than the CT. In focal and diffuse vascular affections the EEG and CT findings were consistent, in transitory ischemic conditions the EEG findings were more frequently positive. In inflammatory cerebral affections and in paroxymal diseases the EEG findings were positive more frequently than the CT. The same applies for demyelinating and degenerative affections. Findings of other authors were confirmed to the effect that CT very reliably reveals morphological changes in cerebral tissue while EEG records the functional state of the central nervous system and its changes. The two methods are complementary. (author)

  17. EEG Signal Classification With Super-Dirichlet Mixture Model

    DEFF Research Database (Denmark)

    Ma, Zhanyu; Tan, Zheng-Hua; Prasad, Swati

    2012-01-01

    Classification of the Electroencephalogram (EEG) signal is a challengeable task in the brain-computer interface systems. The marginalized discrete wavelet transform (mDWT) coefficients extracted from the EEG signals have been frequently used in researches since they reveal features related...

  18. EOG Artifacts Removal in EEG Measurements for Affective Interaction

    NARCIS (Netherlands)

    Qi, Wen

    2014-01-01

    A brain-computer interface (BCI) is a direct link between the brain and a computer. Multi-modal input with BCI forms a promising solution for creating rich gaming experience. Electroencephalography (EEG) measurement is the sole necessary component for a BCI system. EEG signals have the characteristi

  19. Using EEG to Study Cognitive Development: Issues and Practices

    Science.gov (United States)

    Bell, Martha Ann; Cuevas, Kimberly

    2012-01-01

    Developmental research is enhanced by use of multiple methodologies for examining psychological processes. The electroencephalogram (EEG) is an efficient and relatively inexpensive method for the study of developmental changes in brain-behavior relations. In this review, we highlight some of the challenges for using EEG in cognitive development…

  20. Convolutive ICA for Spatio-Temporal Analysis of EEG

    DEFF Research Database (Denmark)

    Dyrholm, Mads; Makeig, Scott; Hansen, Lars Kai

    2007-01-01

    in the convolutive model can be correctly detected using Bayesian model selection. We demonstrate a framework for deconvolving an EEG ICA subspace. Initial results suggest that in some cases convolutive mixing may be a more realistic model for EEG signals than the instantaneous ICA model....

  1. Ear-EEG from generic earpieces: A feasibility study

    DEFF Research Database (Denmark)

    Kidmose, Preben; Looney, D; Jochumsen, Lars;

    2013-01-01

    The use of brain monitoring based on EEG, in natural environments and over long time periods, is hindered by the limited portability of current wearable systems, and the invasiveness of implanted systems. To that end, we introduce an ear-EEG recording device based on generic earpieces which meets...

  2. Relationships between interictal epileptic spikes and ripples in surface EEG

    NARCIS (Netherlands)

    Van Klink, Nicole; Frauscher, Birgit; Zijlmans, Maeike; Gotman, Jean

    2016-01-01

    Objective: Ripples (80-250. Hz) have been shown to be a more specific biomarker for the epileptogenic zone than epileptic spikes in intracranial EEG and even surface EEG. Ripples often co-occur with spikes. We investigated the spatiotemporal relation between spikes and ripples, and differences betwe

  3. Hypoxic-Ischemic-Encephalopathy Studied by EEG and Mr Spectroscopy

    OpenAIRE

    J Gordon Millichap

    2011-01-01

    Amplitude-integrated EEG (a-EEG) time course during the first 24 hrs of life was related to brain metabolism changes detected by proton MR spectroscopy (H-MRS) at 7-10 days of post-natal life in non-cooled term newborns with hypoxic-ischemic-encephalopathy (HIE).

  4. EEG findings in fetal alcohol syndrome and Down syndrome children.

    Science.gov (United States)

    Kaneko, W M; Phillips, E L; Riley, E P; Ehlers, C L

    1996-01-01

    Results from previous studies evaluating the electroencephalograms (EEGs) of infants born to alcoholic mothers suggest that the neonatal EEG may be a sensitive measure of prenatal ethanol exposure. Few studies, however, have examined EEG records of adolescent children with fetal alcohol syndrome (FAS). The present study investigated the resting EEG recordings of 18 matched triads of FAS, Down syndrome, and normal control subjects. Significant reductions in mean power of the alpha frequencies (7.5-12 Hz) were seen for both clinical groups, however, each syndrome appeared to have distinct EEG spectral distributions. Down syndrome children overall had diffuse EEG slowing while the EEG records of the FAS children showed reduced power, particularly in the alpha frequencies in the absence of significant slow activity. In the Down syndrome children, significant decreases in alpha power was seen in posterior cortical regions, whereas FAS children were more affected in the left hemisphere. This study suggests that certain EEG variables may be helpful in characterizing the neurophysiology of FAS. PMID:8689990

  5. Pulse artifact detection in simultaneous EEG-fMRI recording based on EEG map topography.

    Science.gov (United States)

    Iannotti, Giannina R; Pittau, Francesca; Michel, Christoph M; Vulliemoz, Serge; Grouiller, Frédéric

    2015-01-01

    One of the major artifact corrupting electroencephalogram (EEG) acquired during functional magnetic resonance imaging (fMRI) is the pulse artifact (PA). It is mainly due to the motion of the head and attached electrodes and wires in the magnetic field occurring after each heartbeat. In this study we propose a novel method to improve PA detection by considering the strong gradient and inversed polarity between left and right EEG electrodes. We acquired high-density EEG-fMRI (256 electrodes) with simultaneous electrocardiogram (ECG) at 3 T. PA was estimated as the voltage difference between right and left signals from the electrodes showing the strongest artifact (facial and temporal). Peaks were detected on this estimated signal and compared to the peaks in the ECG recording. We analyzed data from eleven healthy subjects, two epileptic patients and four healthy subjects with an insulating layer between electrodes and scalp. The accuracy of the two methods was assessed with three criteria: (i) standard deviation, (ii) kurtosis and (iii) confinement into the physiological range of the inter-peak intervals. We also checked whether the new method has an influence on the identification of epileptic spikes. Results show that estimated PA improved artifact detection in 15/17 cases, when compared to the ECG method. Moreover, epileptic spike identification was not altered by the correction. The proposed method improves the detection of pulse-related artifacts, particularly crucial when the ECG is of poor quality or cannot be recorded. It will contribute to enhance the quality of the EEG increasing the reliability of EEG-informed fMRI analysis. PMID:25307731

  6. The default mode network and EEG regional spectral power: a simultaneous fMRI-EEG study.

    Directory of Open Access Journals (Sweden)

    Irene Neuner

    Full Text Available Electroencephalography (EEG frequencies have been linked to specific functions as an "electrophysiological signature" of a function. A combination of oscillatory rhythms has also been described for specific functions, with or without predominance of one specific frequency-band. In a simultaneous fMRI-EEG study at 3 T we studied the relationship between the default mode network (DMN and the power of EEG frequency bands. As a methodological approach, we applied Multivariate Exploratory Linear Optimized Decomposition into Independent Components (MELODIC and dual regression analysis for fMRI resting state data. EEG power for the alpha, beta, delta and theta-bands were extracted from the structures forming the DMN in a region-of-interest approach by applying Low Resolution Electromagnetic Tomography (LORETA. A strong link between the spontaneous BOLD response of the left parahippocampal gyrus and the delta-band extracted from the anterior cingulate cortex was found. A positive correlation between the beta-1 frequency power extracted from the posterior cingulate cortex (PCC and the spontaneous BOLD response of the right supplementary motor cortex was also established. The beta-2 frequency power extracted from the PCC and the precuneus showed a positive correlation with the BOLD response of the right frontal cortex. Our results support the notion of beta-band activity governing the "status quo" in cognitive and motor setup. The highly significant correlation found between the delta power within the DMN and the parahippocampal gyrus is in line with the association of delta frequencies with memory processes. We assumed "ongoing activity" during "resting state" in bringing events from the past to the mind, in which the parahippocampal gyrus is a relevant structure. Our data demonstrate that spontaneous BOLD fluctuations within the DMN are associated with different EEG-bands and strengthen the conclusion that this network is characterized by a specific

  7. Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics

    Directory of Open Access Journals (Sweden)

    Maja eStikic

    2014-11-01

    Full Text Available The objective of this study was to investigate the feasibility of physiological metrics such as ECG-derived heart rate and EEG-derived cognitive workload and engagement as potential predictors of performance on different training tasks. An unsupervised approach based on self-organizing neural network (NN was utilized to model cognitive state changes over time. The feature vector comprised EEG-engagement, EEG-workload, and heart rate metrics, all self-normalized to account for individual differences. During the competitive training process, a linear topology was developed where the feature vectors similar to each other activated the same NN nodes. The NN model was trained and auto-validated on combat marksmanship training data from 51 participants that were required to make deadly force decisions in challenging combat scenarios. The trained NN model was cross validated using 10-fold cross-validation. It was also validated on a golf study in which additional 22 participants were asked to complete 10 sessions of 10 putts each. Temporal sequences of the activated nodes for both studies followed the same pattern of changes, demonstrating the generalization capabilities of the approach. Most node transition changes were local, but important events typically caused significant changes in the physiological metrics, as evidenced by larger state changes. This was investigated by calculating a transition score as the sum of subsequent state transitions between the activated NN nodes. Correlation analysis demonstrated statistically significant correlations between the transition scores and subjects’ performances in both studies. This paper explored the hypothesis that temporal sequences of physiological changes comprise the discriminative patterns for performance prediction. These physiological markers could be utilized in future training improvement systems (e.g., through neurofeedback, and applied across a variety of training environments.

  8. Uporaba preprostega EEG v afektivni povratni zanki

    OpenAIRE

    KORPIČ, TJAŠA

    2016-01-01

    Diplomsko delo predstavi osnove merjenja električne aktivnosti človeških možganov z uporabo elektroencefalografije ter opiše faze izdelave računalniške igre, regulirane z mislimi. Preprosti komercialni EEG merilnik (MindWave Mobile) je bil uporabljen za merjenje možganske aktivnosti v afektivni fiziološki povratni zanki. Izmerjene podatke je preko Bluetooth komunikacijskega protokola pošiljal v Matlab, ki je bil odgovoren za grafično predstavitev signalov ter njihovo pošiljanje preko UDP v...

  9. EEG Source Estimation via Cortical Graph Smoothing

    OpenAIRE

    David Hammond; Benoit Scherrer

    2011-01-01

    Introduction The EEG source estimation problem consists of inferring brain activity from electrical potentials measured on the surface of the scalp. This is a challenging inverse problem as the number of degrees of freedom of activity inside the brain greatly exceeds the number of available measurements (e.g. scalp electrodes). Within the past ten years, the development of diffusion weighted imaging and associated modalities (e.g. DTI, DSI, HARDI, etc) has enabled non-invasive measurement of ...

  10. Cyclic alternating pattern in sleep and its relationship to creativity

    OpenAIRE

    Drago, Valeria

    2011-01-01

    Background/Objectives: Sleep has been shown to enhance creativity, but the reason for this enhancement is not entirely known. There are several different physiological states associated with sleep. In addition to rapid (REM) and non-rapid eye movement (NREM) sleep, NREM sleep can be broken down into Stages (1-4) that are characterized by the degree of EEG slow wave activity. In addition, during NREM sleep there are transient but cyclic alternating patterns (CAP) of EEG activity and these CAP...

  11. Design of an EEG Preamplifier for Brain-Computer Interface

    Institute of Scientific and Technical Information of China (English)

    Xian-Jie Pu; Tie-Jun Liu; De-Zhong Yao

    2009-01-01

    As a non-invasive neurophysiological index for brain-computer interface (BCI),electro-encephalogram (EEG) attracts much attention at present.In order to have a portable BCI,a simple and efficient pre-amplifier is crucial in practice.In this work,a preamplifier based on the characteristics of EEG signals is designed,which consists of a highly symmetrical input stage,low-pass filter,50 Hz notch filter and a post amplifier.A prototype of this EEG module is fabricated and EEG data are obtained through an actual experiment.The results demonstrate that the EEG preamplifier will be a promising unit for BCI in the future.

  12. EEG Suppression Associated with Apneic Episodes in a Neonate

    Directory of Open Access Journals (Sweden)

    Evonne Low

    2012-01-01

    Full Text Available We describe the EEG findings from an ex-preterm neonate at term equivalent age who presented with intermittent but prolonged apneic episodes which were presumed to be seizures. A total of 8 apneic episodes were captured (duration 23–376 seconds during EEG monitoring. The baseline EEG activity was appropriate for corrected gestational age and no electrographic seizure activity was recorded. The average baseline heart rate was 168 beats per minute (bpm and the baseline oxygen saturation level was in the mid-nineties. Periods of complete EEG suppression lasting 68 and 179 seconds, respectively, were recorded during 2 of these 8 apneic episodes. Both episodes were accompanied by bradycardia less than 70 bpm and oxygen saturation levels of less than 20%. Short but severe episodes of apnea can cause complete EEG suppression in the neonate.

  13. Quantitative EEG evaluation in patients with acute encephalopathy

    Directory of Open Access Journals (Sweden)

    Aline Souza Marques da Silva Braga

    2013-12-01

    Full Text Available Objective To investigate the use of quantitative EEG (qEEG in patients with acute encephalopathies (AEs and EEG background abnormalities. Method Patients were divided into favorable outcome (group A, 43 patients and an unfavorable outcome (group B, 5 patients. EEGLAB software was used for the qEEG analysis. A graphic of the spectral power from all channels was generated for each participant. Statistical comparisons between the groups were performed. Results In group A, spectral analysis revealed spectral peaks (theta and alpha frequency bands in 84% (38/45 of the patients. In group B, a spectral peak in the delta frequency range was detected in one patient. The remainder of the patients in both groups did not present spectral peaks. Statistical analysis showed lower frequencies recorded from the posterior electrodes in group B patients. Conclusion qEEG may be useful in the evaluations of patients with AEs by assisting with the prognostic determination.

  14. DENOISING & FEATURE EXTRACTION OF EEG SIGNAL USING WAVELET TRANSFORM

    Directory of Open Access Journals (Sweden)

    Sachin Garg

    2013-06-01

    Full Text Available Brain is one of the most complex organ of the humans, it controls the coordination of human muscles & nerves. EEG keeps its importance for identifying the physiological, and the psychological situationsof the human and the functional activity of the brain. Being a non stationary signal, suitable analysis is essential for EEG to differentiate the normal EEG and epileptic seizures. Epilepsy is one of the most common neurological disorders. Epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges fromthe brain cells, often in the cerebral cortex. Feature extraction of EEG signals is core issues on EEG based brain mapping analysis. This paper proposes classification system for epilepsy based on neural networks and wavelet based feature extraction technique has been adopted to extract features Min, Max, Mean and Median. These features have been applied to Neural Networks for classification. The results gave a classification accuracy of 97%.

  15. Multimodal emotion recognition using EEG and eye tracking data.

    Science.gov (United States)

    Zheng, Wei-Long; Dong, Bo-Nan; Lu, Bao-Liang

    2014-01-01

    This paper presents a new emotion recognition method which combines electroencephalograph (EEG) signals and pupillary response collected from eye tracker. We select 15 emotional film clips of 3 categories (positive, neutral and negative). The EEG signals and eye tracking data of five participants are recorded, simultaneously, while watching these videos. We extract emotion-relevant features from EEG signals and eye tracing data of 12 experiments and build a fusion model to improve the performance of emotion recognition. The best average accuracies based on EEG signals and eye tracking data are 71.77% and 58.90%, respectively. We also achieve average accuracies of 73.59% and 72.98% for feature level fusion strategy and decision level fusion strategy, respectively. These results show that both feature level fusion and decision level fusion combining EEG signals and eye tracking data can improve the performance of emotion recognition model. PMID:25571125

  16. Topographic EEG analysis. Methods for graphic representation and clinical applications.

    Science.gov (United States)

    Scarpino, O; Guidi, M; Bolcioni, G

    1990-10-01

    Topographic EEG analysis includes different techniques to display the spatial distribution of brain electrical activity. The correct reconstruction of the scalp potentials and the consequent inference on cortical generators is influenced by many factors. In this study we focused our attention on the topographical representation of high resolution spectral EEG parameters, the choice of the interpolation algorithms for EEG mapping and the application of a spatial filtering method to scalp potential distribution. From our results there is evidence that different approaches are needed with relation to the EEG spatial features to be detected. The actual standard procedures seem not entirely adequate and the new methods proposed can improve significantly the visual reading of the EEG and its sensitivity. PMID:2082724

  17. Recognition of Epileptic EEG Using Probabilistic Neural Network

    CERN Document Server

    Bao, Forrest Sheng; Lie, Donald Yu-Chun

    2008-01-01

    Epilepsy is one of the most common neurological disorders that greatly impair patients' daily lives. A classifier for automated epileptic EEG detection and patient monitoring can be very important for epilepsy diagnosis and patients' quality of life, especially for rural areas and developing countries where medical resources are limited. This paper describes our development of an accurate and fast EEG classifier that can differentiate the EEG data of healthy people from that of epileptic patients, and also detect patients' status (i.e., interictal vs. ictal). We deployed Probabilistic Neural Network (PNN) and fed it with 38 features extracted from the EEG data. The resulting PNN EEG classifier achieves an impressive accuracy greater than 96 as indicated by cross-validation. This prototype classifier is therefore suitable for automated epilepsy detection/diagnosis and seizure monitoring. It may even facilitate seizure prediction.

  18. Using Bayesian Model Selection to Characterize Neonatal Eeg Recordings

    Science.gov (United States)

    Mitchell, Timothy J.

    2009-12-01

    The brains of premature infants must undergo significant maturation outside of the womb and are thus particularly susceptible to injury. Electroencephalographic (EEG) recordings are an important diagnostic tool in determining if a newborn's brain is functioning normally or if injury has occurred. However, interpreting the recordings is difficult and requires the skills of a trained electroencephelographer. Because these EEG specialists are rare, an automated interpretation of newborn EEG recordings would increase access to an important diagnostic tool for physicians. To automate this procedure, we employ Bayesian probability theory to compute the posterior probability for the EEG features of interest and use the results in a program designed to mimic EEG specialists. Specifically, we will be identifying waveforms of varying frequency and amplitude, as well as periods of flat recordings where brain activity is minimal.

  19. Epileptic nystagmus: description of a pediatric case with EEG correlation and SPECT findings.

    Science.gov (United States)

    Nicita, F; Papetti, L; Spalice, A; Ursitti, F; Massa, R; Properzi, E; Iannetti, P

    2010-11-15

    Epileptic nystagmus (EN) describes repetitive eye movements that result from seizure activity. We describe a patient with EN and vertigo first noted at the age of 4 yr and 10 mo. Brain MRI did not show anomalies. Ictal EEG recordings revealed epileptic activity during three episodes of horizontal, left-beating nystagmus not crossing the midline. Ictal 99mTc-ECD SPECT demonstrated the presence of active foci in multiple cerebral regions including bilateral prefrontal, bilateral parieto-temporo-occipital and the left parieto-insular-vestibular areas. A wide area of hypoperfusion was also evident in the right hemisphere, prevailing in the parieto-occipital regions and the medial prefrontal gyrus. Topiramate was started at a dose of 2 mg/kg/d with complete seizure control after 14 d. EEG and SPECT were repeated after a seizure-free period of 1 mo; disappearance of epileptic activity and modification of cerebral perfusion were evident. This case reaffirms the cortical origin and involvement of temporo-occipital and frontal cortex in the genesis of saccadic epileptic nystagmus. Rapid complete control of clinical events coincided with the normalization of EEG and improvement of the SPECT pattern. PMID:20832824

  20. EEG oscillations during sleep and dream recall: state- or trait-like individual differences?

    Directory of Open Access Journals (Sweden)

    Serena eScarpelli

    2015-05-01

    Full Text Available Dreaming represents a peculiar form of cognitive activity during sleep. On the basis of the well-known relationship between sleep and memory, there has been a growing interest in the predictive role of human brain activity during sleep on dream recall. Neuroimaging studies indicate that REM sleep is characterized by limbic activation and prefrontal cortex deactivation. This pattern could explain the presence of emotional contents in dream reports. Furthermore, the morphoanatomical measures of amygdala and hippocampus predict some features of dream contents (bizarreness, vividness and emotional load. More relevant for a general view of dreaming mechanisms, empirical data from neuropsychological and electroencephalographic (EEG studies support the hypothesis that there is a sort of continuity between the neurophysiological mechanisms of encoding and retrieval of episodic memories across sleep and wakefulness. A notable overlap between the electrophysiological mechanisms underlying emotional memory formation and some peculiar EEG features of REM sleep has been suggested. In particular, theta (5-8 Hz EEG oscillations on frontal regions in the pre-awakening sleep are predictive of dream recall, which parallels the predictive relation during wakefulness between theta activity and successful retrieval of episodic memory. Although some observations support an interpretation more in terms of an intraindividual than interindividual mechanism, the existing empirical evidence still precludes from definitely disentangling if this relation is explained by state- or trait-like differences.

  1. EEG oscillations during sleep and dream recall: state- or trait-like individual differences?

    Science.gov (United States)

    Scarpelli, Serena; D'Atri, Aurora; Gorgoni, Maurizio; Ferrara, Michele; De Gennaro, Luigi

    2015-01-01

    Dreaming represents a peculiar form of cognitive activity during sleep. On the basis of the well-known relationship between sleep and memory, there has been a growing interest in the predictive role of human brain activity during sleep on dream recall. Neuroimaging studies indicate that rapid eye movement (REM) sleep is characterized by limbic activation and prefrontal cortex deactivation. This pattern could explain the presence of emotional contents in dream reports. Furthermore, the morphoanatomical measures of amygdala and hippocampus predict some features of dream contents (bizarreness, vividness, and emotional load). More relevant for a general view of dreaming mechanisms, empirical data from neuropsychological and electroencephalographic (EEG) studies support the hypothesis that there is a sort of continuity between the neurophysiological mechanisms of encoding and retrieval of episodic memories across sleep and wakefulness. A notable overlap between the electrophysiological mechanisms underlying emotional memory formation and some peculiar EEG features of REM sleep has been suggested. In particular, theta (5-8 Hz) EEG oscillations on frontal regions in the pre-awakening sleep are predictive of dream recall, which parallels the predictive relation during wakefulness between theta activity and successful retrieval of episodic memory. Although some observations support an interpretation more in terms of an intraindividual than interindividual mechanism, the existing empirical evidence still precludes from definitely disentangling if this relation is explained by state- or trait-like differences. PMID:25999908

  2. EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme.

    Science.gov (United States)

    Ji, Hongfei; Li, Jie; Lu, Rongrong; Gu, Rong; Cao, Lei; Gong, Xiaoliang

    2016-01-01

    Electroencephalogram- (EEG-) based brain-computer interface (BCI) systems usually utilize one type of changes in the dynamics of brain oscillations for control, such as event-related desynchronization/synchronization (ERD/ERS), steady state visual evoked potential (SSVEP), and P300 evoked potentials. There is a recent trend to detect more than one of these signals in one system to create a hybrid BCI. However, in this case, EEG data were always divided into groups and analyzed by the separate processing procedures. As a result, the interactive effects were ignored when different types of BCI tasks were executed simultaneously. In this work, we propose an improved tensor based multiclass multimodal scheme especially for hybrid BCI, in which EEG signals are denoted as multiway tensors, a nonredundant rank-one tensor decomposition model is proposed to obtain nonredundant tensor components, a weighted fisher criterion is designed to select multimodal discriminative patterns without ignoring the interactive effects, and support vector machine (SVM) is extended to multiclass classification. Experiment results suggest that the proposed scheme can not only identify the different changes in the dynamics of brain oscillations induced by different types of tasks but also capture the interactive effects of simultaneous tasks properly. Therefore, it has great potential use for hybrid BCI. PMID:26880873

  3. Methods of EEG signal features extraction using linear analysis in frequency and time-frequency domains.

    Science.gov (United States)

    Al-Fahoum, Amjed S; Al-Fraihat, Ausilah A

    2014-01-01

    Technically, a feature represents a distinguishing property, a recognizable measurement, and a functional component obtained from a section of a pattern. Extracted features are meant to minimize the loss of important information embedded in the signal. In addition, they also simplify the amount of resources needed to describe a huge set of data accurately. This is necessary to minimize the complexity of implementation, to reduce the cost of information processing, and to cancel the potential need to compress the information. More recently, a variety of methods have been widely used to extract the features from EEG signals, among these methods are time frequency distributions (TFD), fast fourier transform (FFT), eigenvector methods (EM), wavelet transform (WT), and auto regressive method (ARM), and so on. In general, the analysis of EEG signal has been the subject of several studies, because of its ability to yield an objective mode of recording brain stimulation which is widely used in brain-computer interface researches with application in medical diagnosis and rehabilitation engineering. The purposes of this paper, therefore, shall be discussing some conventional methods of EEG feature extraction methods, comparing their performances for specific task, and finally, recommending the most suitable method for feature extraction based on performance. PMID:24967316

  4. Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks.

    Directory of Open Access Journals (Sweden)

    Alessio Paolo Buccino

    Full Text Available Non-invasive Brain-Computer Interfaces (BCI have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG and functional Near-Infrared Spectroscopy (fNIRS in an asynchronous Sensory Motor rhythm (SMR-based BCI. We attempted to classify 4 different executed movements, namely, Right-Arm-Left-Arm-Right-Hand-Left-Hand tasks. Previous studies demonstrated the benefit of EEG-fNIRS combination. However, since normally fNIRS hemodynamic response shows a long delay, we investigated new features, involving slope indicators, in order to immediately detect changes in the signals. Moreover, Common Spatial Patterns (CSPs have been applied to both EEG and fNIRS signals. 15 healthy subjects took part in the experiments and since 25 trials per class were available, CSPs have been regularized with information from the entire population of participants and optimized using genetic algorithms. The different features have been compared in terms of performance and the dynamic accuracy over trials shows that the introduced methods diminish the fNIRS delay in the detection of changes.

  5. Resting State EEG-based biometrics for individual identification using convolutional neural networks.

    Science.gov (United States)

    Lan Ma; Minett, James W; Blu, Thierry; Wang, William S-Y

    2015-08-01

    Biometrics is a growing field, which permits identification of individuals by means of unique physical features. Electroencephalography (EEG)-based biometrics utilizes the small intra-personal differences and large inter-personal differences between individuals' brainwave patterns. In the past, such methods have used features derived from manually-designed procedures for this purpose. Another possibility is to use convolutional neural networks (CNN) to automatically extract an individual's best and most unique neural features and conduct classification, using EEG data derived from both Resting State with Open Eyes (REO) and Resting State with Closed Eyes (REC). Results indicate that this CNN-based joint-optimized EEG-based Biometric System yields a high degree of accuracy of identification (88%) for 10-class classification. Furthermore, rich inter-personal difference can be found using a very low frequency band (0-2Hz). Additionally, results suggest that the temporal portions over which subjects can be individualized is less than 200 ms. PMID:26736885

  6. Measuring human locomotor control using EMG and EEG: Current knowledge, limitations and future considerations.

    Science.gov (United States)

    Enders, Hendrik; Nigg, Benno M

    2016-06-01

    Electrical signals encoding different forms of information can be observed at multiple levels of the human nervous system. Typically, these signals have been recorded in a rather isolated fashion with little overlap between the static recordings of electroencephalography (EEG) commonly used in neuroscience and the typical surface electromyography (EMG) recordings used in biomechanics. However, within the last decade, there has been an emerging need to link the electrical activation patterns of brain areas during movement to the behavior of the musculoskeletal system. This review discusses some of the most recent studies using the EEG and/or EMG to study the neural control of movement and human locomotion as well as studies quantifying the connectivity between brain and muscles. The focus is on rhythmic locomotor-type activities; however, results are discussed within the framework of initial work that has been done in upper and lower limbs during static and dynamic contractions. Limitations and current challenges as well as the possibility and functional interpretation of studying the connectivity between the cortex and skeletal muscles using a measure of coherence are discussed. The manuscript is geared toward scientists interested in the application of EEG in the field of locomotion, sports and exercise. PMID:26238032

  7. MR perfusion and diffusion imaging in diagnosing benign and malignant bone tumors

    International Nuclear Information System (INIS)

    Objective: To assess the diagnostic potential of MR- PWI and MR-DWI in differentiating benign from malignant bone tumors. Methods: MR- PWI and MR- DWI were performed on 39 patients by using GE Signa 1.5 T MR imager. The perfusion imaging was started with GRE- EPI sequence, signal intensities were measured on delineated ROI and TIC was gotten using the Functool 2 software system Type of TIC, signal decreasing in first- pass period, maximum slope of TIC and signal difference between two standard states were compared between benign and malignant bone tumors MR-DWI was performed with SE-EPI fast scan sequence with diffusion in three directions ADC values were obtained and compared on delineated ROI using the Functool 2 software system. The resultant data were analyzed with software (SPSS, version 13.0). Subjective overall performance of two techniques was evaluated with Receiver Uperating Characteristic (ROC) analysis. Results: 1.MR-PWI: 1.The patterns of TIC of most benign bone tumors (17/21) were type Ⅰ and Ⅱ, and that of all malignant bone tumors were type Ⅲ and Ⅳ. 2.There were significant differences in signal decreasing in first- pass period [(17.52±.37)% vs. (52.42±5.74)%], maximum slope of TIC [(4.69±2.84)% s-1 vs. (9.63±4.05)%·s-1] and signal difference between two standard states [(6.87±3.34)% vs. (31.75±1.09)%] between benign and malignant groups. And their diagnostic accuracy was 82.1%, 79.5% and 87.2% respectively. 3. 4 highly vascularized benign bone tumors were mistaken in diagnosis as malignant ones according to their perfusion characteristics. 2. MR-DWI: There was significant difference between ADC of benign and malignant groups [(1.86±0.38)×10-3 mm2/s vs. (1.44±0.26))×10-3 mm2/s] when b value was 300 s/mm3. The diagnostic accuracy was 79.5% when ADC value less than 1.63)×10-3 mm2/s was considered as malignant ones. 3 The diagnostic accuracy of MR-PWI and MR-DWI were 89.7% and 79.5% respectively. Conclusion: MR-PWI is the better

  8. Monocyte/macrophage and T-cell infiltrates in peritoneum of patients with ovarian cancer or benign pelvic disease

    OpenAIRE

    Ma Qing; Mueller Peter; Bassett Roland L; Patenia Rebecca; Deavers Michael; Wang Xipeng; Wang Ena; Freedman Ralph S

    2006-01-01

    Abstract Background We previously showed that tumor-free peritoneum of patients with epithelial ovarian cancer (EOC) exhibited enhanced expression of several inflammatory response genes compared to peritoneum of benign disease. Here, we examined peritoneal inflammatory cell patterns to determine their concordance with selected enhanced genes. Methods Expression patterns of selected inflammatory genes were mined from our previously published data base. Bilateral pelvic peritoneal and subjacent...

  9. MRI of vertebral compression fracture: benign versus metastasis

    International Nuclear Information System (INIS)

    The study was performed to evaluate differentiating features of spinal compression fractures between benign and metastatic lesions. We reviewed MR imaging in 52 patients (benign 38, metastasis 14) with vertebral compression fracture. Signal intensity of fracture and uninvolved areas, presence of contrast enhancement fragmentation, and paravertebral mass were analyzed retrospectively. Signal intensity of fracture site was variable in benign lesions, but low signal intensity on T1-weighted image and high on T2-weighted image were seen in all cases of metastasis. Signal intensity of uninvolved area was high on T1-weighted image and low on T2-weighted image in 84% of benign lesions. On the contrary, normal marrow signal intensity was not seen in the uninvolved areas of all metastatic fractures. Contrast enhancement were observed in all cases of benign and metastatic compression fractures. Fragmentation were seen in 1 case of metastasis (7%) and in 11 cases of benign lesions (29%). Paravertebral mass were seen in 5 cases of metastasis (36%) and in 7 cases of benign lesions (18%). Presence of normal marrow signal intensity in the uninvolved area of fracture site could be the most useful sign for differentiating benign causes from metastasis

  10. [Treatment of benign laryngeal diseases using a CO2 laser].

    Science.gov (United States)

    Betka, J; Klozar, J; Kasík, P; Taudy, M; Tichý, S

    1989-05-01

    CO2 laser surgery is becoming a part of larynx surgery. The authors inform about their experience in benign larynx tumours treatment. They present analysis of concrete therapeutic procedures in individual larynx affections. They conclude that laser surgery is an advantegous method for benign larynx tumours treatment. PMID:2772545

  11. Hibernoma: imaging characteristics of a rare benign soft tissue tumor

    International Nuclear Information System (INIS)

    Hibernoma is a rare benign soft tissue tumor of brown fat. Awareness of the MR imaging appearances of this lesion may allow for improved preoperative diagnosis or at least inclusion of hibernoma as a possible benign differential diagnosis prior to surgery. (orig.)

  12. Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis.

    Science.gov (United States)

    Gschwind, Markus; Hardmeier, Martin; Van De Ville, Dimitri; Tomescu, Miralena I; Penner, Iris-Katharina; Naegelin, Yvonne; Fuhr, Peter; Michel, Christoph M; Seeck, Margitta

    2016-01-01

    Spontaneous fluctuations of neuronal activity in large-scale distributed networks are a hallmark of the resting brain. In relapsing-remitting multiple sclerosis (RRMS) several fMRI studies have suggested altered resting-state connectivity patterns. Topographical EEG analysis reveals much faster temporal fluctuations in the tens of milliseconds time range (termed "microstates"), which showed altered properties in a number of neuropsychiatric conditions. We investigated whether these microstates were altered in patients with RRMS, and if the microstates' temporal properties reflected a link to the patients' clinical features. We acquired 256-channel EEG in 53 patients (mean age 37.6 years, 45 females, mean disease duration 9.99 years, Expanded Disability Status Scale ≤ 4, mean 2.2) and 49 healthy controls (mean age 36.4 years, 33 females). We analyzed segments of a total of 5 min of EEG during resting wakefulness and determined for both groups the four predominant microstates using established clustering methods. We found significant differences in the temporal dynamics of two of the four microstates between healthy controls and patients with RRMS in terms of increased appearance and prolonged duration. Using stepwise multiple linear regression models with 8-fold cross-validation, we found evidence that these electrophysiological measures predicted a patient's total disease duration, annual relapse rate, disability score, as well as depression score, and cognitive fatigue measure. In RRMS patients, microstate analysis captured altered fluctuations of EEG topographies in the sub-second range. This measure of high temporal resolution provided potentially powerful markers of disease activity and neuropsychiatric co-morbidities in RRMS. PMID:27625987

  13. Eye contact with neutral and smiling faces: effects on frontal EEG asymmetry and autonomic responses

    Directory of Open Access Journals (Sweden)

    Laura Maria Pönkänen

    2012-05-01

    Full Text Available In our previous studies we have shown that seeing another person “live” with a direct vs. averted gaze results in greater relative left-sided frontal asymmetry in the electroencephalography (EEG, associated with approach motivation, and in enhanced skin conductance responses indicating autonomic arousal. In our studies, however, the stimulus persons had a neutral expression. In real-life social interaction, eye contact is often associated with a smile, which is another signal of the sender’s approach-related motivation. A smile could therefore enhance the affective-motivational responses to eye contact. In the present study, we investigated whether the facial expression (neutral vs. smile would modulate the frontal EEG asymmetry and autonomic arousal to seeing a direct vs. an averted gaze in faces presented “live” through a liquid crystal shutter. The results showed that the skin conductance responses were greater for the direct than the averted gaze and that the effect of gaze direction was more pronounced for a smiling than a neutral face. However, the frontal EEG asymmetry results revealed a more complex pattern. Participants whose responses to seeing the other person were overall indicative of leftward frontal activity (indicative of approach showed greater relative left-sided asymmetry for the direct vs. averted gaze, whereas participants whose responses were overall indicative of rightward frontal activity (indicative of avoidance showed greater relative right-sided asymmetry to direct vs. averted gaze. The other person’s facial expression did not have an effect on the frontal EEG asymmetry. These findings may reflect that another’s direct gaze, as compared to their smile, has a more dominant role in regulating perceivers’ approach motivation.

  14. The time-course of EEG Alpha Power Changes in Creative Ideation

    Directory of Open Access Journals (Sweden)

    Daniela eSchwab

    2014-05-01

    Full Text Available Increases in EEG alpha power during creative ideation are among the most consistent findings in the neuroscientific study of creativity, but existing studies did not focus on time-related changes of EEG alpha activity patterns during the process of creative ideation so far. Since several cognitive processes are involved in the generation of creative ideas, different EEG correlates may result as a function of time. In this study we addressed this crucial point. Forty-five participants worked on the Alternative Uses Task while the EEG was recorded and changes in task-related power (relative to rest in the upper-frequency band (10-12 Hz for three isochronous time intervals of the idea generation period were determined. Alpha power changes during idea generation followed a characteristic time course: We found a general increase of alpha power at the beginning of idea generation that was followed by a decrease and finally by a re-increase of alpha prior to responding that was most pronounced at parietal and temporal sites of the right hemisphere. Additionally, the production of more original ideas was accompanied by increasing hemispheric asymmetry (more alpha in the right than left hemisphere with increasing duration of the idea generation period. The observed time course of brain activity may reflect the progression of different but well-known stages in the idea generation process: That is the initial retrieval of common and old ideas followed by the actual generation of novel and more creative ideas by overcoming typical responses through processes of mental simulation and imagination.

  15. Benign Biliary Strictures: Diagnostic Evaluation and Approaches to Percutaneous Treatment.

    Science.gov (United States)

    Fidelman, Nicholas

    2015-12-01

    Interventional radiologists are often consulted to help identify and treat biliary strictures that can result from a variety of benign etiologies. Mainstays of noninvasive imaging for benign biliary strictures include ultrasound, contrast-enhanced computed tomography and magnetic resonance imaging, magnetic resonance cholangiopancreatography, and computed tomography cholangiography. Endoscopic retrograde cholangiography is the invasive diagnostic procedure of choice, allowing both localization of a stricture and treatment. Percutaneous biliary interventions are reserved for patients who are not candidates for endoscopic retrograde cholangiography (eg, history of distal gastrectomy and biliary-enteric anastomosis to a jejunal roux limb). This review discusses the roles of percutaneous transhepatic cholangiography and biliary drainage in the diagnosis of benign biliary strictures. The methodology for crossing benign biliary strictures, approaches to balloon dilation, management of recalcitrant strictures (ie, large-bore biliary catheters and retrievable covered stents), and the expected outcomes and complications of percutaneous treatment of benign biliary strictures are also addressed. PMID:26615161

  16. EEG microstates during resting represent personality differences.

    Science.gov (United States)

    Schlegel, Felix; Lehmann, Dietrich; Faber, Pascal L; Milz, Patricia; Gianotti, Lorena R R

    2012-01-01

    We investigated the spontaneous brain electric activity of 13 skeptics and 16 believers in paranormal phenomena; they were university students assessed with a self-report scale about paranormal beliefs. 33-channel EEG recordings during no-task resting were processed as sequences of momentary potential distribution maps. Based on the maps at peak times of Global Field Power, the sequences were parsed into segments of quasi-stable potential distribution, the 'microstates'. The microstates were clustered into four classes of map topographies (A-D). Analysis of the microstate parameters time coverage, occurrence frequency and duration as well as the temporal sequence (syntax) of the microstate classes revealed significant differences: Believers had a higher coverage and occurrence of class B, tended to decreased coverage and occurrence of class C, and showed a predominant sequence of microstate concatenations from A to C to B to A that was reversed in skeptics (A to B to C to A). Microstates of different topographies, putative "atoms of thought", are hypothesized to represent different types of information processing.The study demonstrates that personality differences can be detected in resting EEG microstate parameters and microstate syntax. Microstate analysis yielded no conclusive evidence for the hypothesized relation between paranormal belief and schizophrenia. PMID:21644026

  17. Optimizing microsurgical skills with EEG neurofeedback

    Directory of Open Access Journals (Sweden)

    Benjamin Larry

    2009-07-01

    Full Text Available Abstract Background By enabling individuals to self-regulate their brainwave activity in the field of optimal performance in healthy individuals, neurofeedback has been found to improve cognitive and artistic performance. Here we assessed whether two distinct EEG neurofeedback protocols could develop surgical skill, given the important role this skill plays in medicine. Results National Health Service trainee ophthalmic microsurgeons (N = 20 were randomly assigned to either Sensory Motor Rhythm-Theta (SMR or Alpha-Theta (AT groups, a randomized subset of which were also part of a wait-list 'no-treatment' control group (N = 8. Neurofeedback groups received eight 30-minute sessions of EEG training. Pre-post assessment included a skills lab surgical procedure with timed measures and expert ratings from video-recordings by consultant surgeons, together with state/trait anxiety self-reports. SMR training demonstrated advantages absent in the control group, with improvements in surgical skill according to 1 the expert ratings: overall technique (d = 0.6, p Conclusion SMR-Theta neurofeedback training provided significant improvement in surgical technique whilst considerably reducing time on task by 26%. There was also evidence that AT training marginally reduced total surgery time, despite suboptimal training efficacies. Overall, the data set provides encouraging evidence of optimised learning of a complex medical specialty via neurofeedback training.

  18. Nonlinear analysis of EEG for epileptic seizures

    Energy Technology Data Exchange (ETDEWEB)

    Hively, L.M.; Clapp, N.E.; Daw, C.S.; Lawkins, W.F. [Oak Ridge National Lab., TN (United States); Eisenstadt, M.L. [Knoxville Neurology Clinic, St. Mary`s Medical Center, Knoxville, TN (United States)

    1995-04-01

    We apply chaotic time series analysis (CTSA) to human electroencephalogram (EEG) data. Three epoches were examined: epileptic seizure, non-seizure, and transition from non-seizure to seizure. The CTSA tools were applied to four forms of these data: raw EEG data (e-data), artifact data (f-data) via application of a quadratic zero-phase filter of the raw data, artifact-filtered data (g- data) and that was the residual after subtracting f-data from e-data, and a low-pass-filtered version (h-data) of g-data. Two different seizures were analyzed for the same patient. Several nonlinear measures uniquely indicate an epileptic seizure in both cases, including an abrupt decrease in the time per wave cycle in f-data, an abrupt increase in the Kolmogorov entropy and in the correlation dimension for e-h data, and an abrupt increase in the correlation dimension for e-h data. The transition from normal to seizure state also is characterized by distinctly different trends in the nonlinear measures for each seizure and may be potential seizure predictors for this patient. Surrogate analysis of e-data shows that statistically significant nonlinear structure is present during the non-seizure, transition , and seizure epoches.

  19. Thalamic involvement in the regulation of alpha EEG activity in psychiatric patients

    International Nuclear Information System (INIS)

    Aim: The thalamus is considered to be an important sub-cortical system involved in modulation of cortical activities. A relationship between thalamic activity and surface EEG was recently reported. In this study we evaluated a group of patients with psychiatric disorders who presented with asymmetric perfusion of the thalamus based on brain SPECT HMPAO studies. We predicted that asymmetrical activity of the thalamus would have asymmetrically distributed surface qEEG activity patterns. Materials and Methods: Twenty-three male psychiatric patients (age 54±14) with a primary diagnosis of depression and co-morbid substance abuse (83%) were studied with qEEG and HMPAO brain SPECT. The HMPAO ligand was administered while the EEG activity was being recorded. The SPECT analysis was conducted by means of ROI and SPM. ROI regions were determined based on the Talairach atlas coordinate system. ROI locations were verified by the automated utility, Talairach Demon. QEEG data was analyzed by a standardized protocol involving the NxLink database. Correlations between SPECT findings and qEEG absolute power were calculated. Results: Patients were divided into two groups based on thalamic perfusion patterns. Group 1 (Gr 1) had decreased perfusion to the right thalamus whereas Group 2 (Gr 2) had decreased perfusion to the left thalamus. SPM comparison of the patient groups to normal control subjects indicated significant findings. Comparison of Gr 1 to controls showed increased activity in the left temporal lobe and vermis. Decreased activity was observed in the left and right medial frontal lobes (right Brodmann 9;left Brodmann 6) as well as the left (Brodmann 30) and right (Brodmann 24) cingulate. Gr 2 comparison showed increased activity in the right middle frontal gyrus (Brodmann 10) and left inferior parietal lobe. Decreased activity was found in the left inferior frontal lobe (Brodmann 47). A positive correlation between alpha power and thalamic perfusion was identified in Gr

  20. MR imaging of benign peripheral nerve sheath tumors

    International Nuclear Information System (INIS)

    In a retrospective, nonblind review of MR imaging of 15 benign peripheral nerve neoplasms in 13 patients, the signal pattern of the tumors (including contrast-enhanced images) and stage were assessed. One lesion was subcutaneous, 9 intramuscular, 2 intermuscular and 3 extracompartmental. One lesion was located to the trunk, 5 to the upper extremity and 9 to the lower. The signal on T1-weighted spin-echo images was homogeneous isointense compared to adjacent muscle in 11 lesions and in 2 slightly hyper- and in 2 slightly hypointense. T2-weighted spin-echo images, acquired in all but one examination, showed a hyperintense signal, homogeneous in 8 and centrally inhomogeneous in 6 lesions. Postcontrast T1-weighted images of 11 lesions, showed a strong signal, with an inhomogeneous enhancement in the center of the lesion similar to that obtained in T2-weighted images. In 2 cases there were signal characteristics indicating bleeding in the tumor. In one lesion both the nonenhanced and contrast-enhanced T1-weighted images showed a hypointense signal in the tumor center suggestive of intramuscular myxoma. All lesions were well delineated without reactive edema. In all cases, anatomic tumor location was correctly assessed. Although the findings were not pathognomonic for neurinoma, MR imaging provided valuable information confirming the clinical and cytologic assessments. (orig.)

  1. Artefatos biológicos no EEG quantitativo Biologic artifacts in quantitative EEG

    Directory of Open Access Journals (Sweden)

    Renato Anghinah

    2006-06-01

    Full Text Available Estudamos, em 10 indivíduos adultos normais, o comportamento de cinco artefatos biológicos do eletrencefalograma (EEG: piscamento palpebral, fechamento forçado dos olhos, fechamento forçado da mandíbula, movimentos de língua e varredura horizontal dos olhos - tanto por análise visual como espectral - tanto com objetivo de verificar como esses artefatos são visualizados quando apresentados em mapas de potência da amplitude espectral. Observamos que os potenciais do espectro respeitavam a mesma disposição topográfica que os encontrados à análise visual do traçado. A análise visual do EEG é superior à quantitativa, para o reconhecimento de artefatos, porque preserva a visualização morfológica dos grafoelementos que deve ser feita obrigatoriamente no domínio do tempo, pois a sua correta identificação se perde no domínio da frequência. Devido a grande dificuldade de excluirmos totalmente os artefatos durante o registro do EEG e, por conseguinte, serem incluídos na análise quantitativa, é fundamental conhecermos como estes potenciais serão representados nos mapas quantitativos, para podermos identifica-los, evitando confundí-los com atividades patológicas do EEG.We studied the influence of five biologic artifacts sources on quantitative EEG (blinking, forced eyes closure, forced jaw closure, tongue movements and pursuit eyes movements through both visual and spectral analysis, with the purpose of verifying how do these artifacts can be seen in a cartographic way. We found that the spectrum’s potencials showed the same topographic display that was found through visual analysis. Visual analysis was superior than the quantitative evaluation to recognise the artifacts, as the former preserved the morphological display of the paroxisms. However it is important know how do the potencials are represented in quantitative maps, so that they can be identified as artifacts and not as pathologic EEG activity.

  2. EEG Resolutions in Detecting and Decoding Finger Movements from Spectral Analysis

    Directory of Open Access Journals (Sweden)

    Ran eXiao

    2015-09-01

    Full Text Available Mu/beta rhythms are well-studied brain activities that originate from sensorimotor cortices. These rhythms reveal spectral changes in alpha and beta bands induced by movements of different body parts, e.g. hands and limbs, in electroencephalography (EEG signals. However, less can be revealed in them about movements of different fine body parts that activate adjacent brain regions, such as individual fingers from one hand. Several studies have reported spatial and temporal couplings of rhythmic activities at different frequency bands, suggesting the existence of well-defined spectral structures across multiple frequency bands. In the present study, spectral principal component analysis (PCA was applied on EEG data, obtained from a finger movement task, to identify cross-frequency spectral structures. Features from identified spectral structures were examined in their spatial patterns, cross-condition pattern changes, detection capability of finger movements from resting, and decoding performance of individual finger movements in comparison to classic mu/beta rhythms. These new features reveal some similar, but more different spatial and spectral patterns as compared with classic mu/beta rhythms. Decoding results further indicate that these new features (91% can detect finger movements much better than classic mu/beta rhythms (75.6%. More importantly, these new features reveal discriminative information about movements of different fingers (fine body-part movements, which is not available in classic mu/beta rhythms. The capability in decoding fingers (and hand gestures in the future from EEG will contribute significantly to the development of noninvasive brain computer interface (BCI and neuroprosthesis with intuitive and flexible controls.

  3. Relationships between hippocampal activity and breathing patterns

    DEFF Research Database (Denmark)

    Harper, R M; Poe, G R; Rector, D M; Kristensen, Morten Pilgaard

    1998-01-01

    Single cell discharge, EEG activity, and optical changes accompanying alterations in breathing patterns, as well as the knowledge that respiratory musculature is heavily involved in movement and other behavioral acts, implicate hippocampal regions in some aspects of breathing control. The control...

  4. Pattern sensitivity: a missed part of the diagnosis

    Directory of Open Access Journals (Sweden)

    El Shakankiry HM

    2012-07-01

    Full Text Available Hanan M El Shakankiry,1 Ann A Abdel Kader21Department of Pediatrics, King Fahd University Hospital–Al Dammam University, Al Khobar, Kingdom of Saudi Arabia; 2Department of Clinical Neurophysiology, Kasr Aini Hospitals–Cairo University, Cairo, EgyptRationale: Pattern sensitivity can be diagnosed by presenting a series of visual patterns to the subject in the electroencephalography (EEG laboratory; however, testing for pattern sensitivity is not routinely done during EEG recording. This work aimed to highlight the incidence of pattern sensitivity among patients referred for routine EEG recording during a 1-year period, identifying the cause of referral, diagnosis, and the characteristics of pattern-sensitive patients.Methods: All patients aged 4 years and older who were referred for routine EEG during a 12-month period and had no motor or visual impairment were enrolled in the study. Intermittent photic stimulation and pattern sensitivity were tested for each case. Pattern sensitivity was tested by scanning three different rhythmically moving patterns at reading distance with the patient seated in an illuminated room. A pattern evoking a paroxysmal response was reintroduced after exposure to a blank white card to confirm the findings.Results: Two hundred twenty-eight patients were studied; twelve patients (5.26% had pattern sensitivity and their ages ranged from 5 to 12 years. Eight of these patients (66.7% were referred for seizure disorders, two were referred with the diagnosis of migraine, one with headache and poor scholastic performance and one with recurrent attacks of dizziness for investigation. Seven of the twelve patients (58.3% had a previous EEG done without testing for pattern sensitivity. Five patients (41.6% had positive family history for epilepsy, three (25% for migraine, and two (16.6% for migraine and epilepsy. Two patients (16.6% had pattern sensitivity without photosensitivity. Pattern stimulation provoked epileptiform

  5. American Clinical Neurophysiology Society Guideline 7: Guidelines for EEG Reporting.

    Science.gov (United States)

    Tatum, William O; Olga, Selioutski; Ochoa, Juan G; Munger Clary, Heidi; Cheek, Janna; Drislane, Frank; Tsuchida, Tammy N

    2016-08-01

    This EEG Guideline incorporates the practice of structuring a report of results obtained during routine adult electroencephalography. It is intended to reflect one of the current practices in reporting an EEG and serves as a revision of the previous guideline entitled "Writing an EEG Report." The goal of this guideline is not only to convey clinically relevant information, but also to improve interrater reliability for clinical and research use by standardizing the format of EEG reports. With this in mind, there is expanded documentation of the patient history to include more relevant clinical information that can affect the EEG recording and interpretation. Recommendations for the technical conditions of the recording are also enhanced to include post hoc review parameters and type of EEG recording. Sleep feature documentation is also expanded upon. More descriptive terms are included for background features and interictal discharges that are concordant with efforts to standardize terminology. In the clinical correlation section, examples of common clinical scenarios are now provided that encourages uniformity in reporting. Including digital samples of abnormal waveforms is now readily available with current EEG recording systems and may be beneficial in augmenting reports when controversial waveforms or important features are encountered. PMID:27482790

  6. Mobile Collection and Automated Interpretation of EEG Data

    Science.gov (United States)

    Mintz, Frederick; Moynihan, Philip

    2007-01-01

    A system that would comprise mobile and stationary electronic hardware and software subsystems has been proposed for collection and automated interpretation of electroencephalographic (EEG) data from subjects in everyday activities in a variety of environments. By enabling collection of EEG data from mobile subjects engaged in ordinary activities (in contradistinction to collection from immobilized subjects in clinical settings), the system would expand the range of options and capabilities for performing diagnoses. Each subject would be equipped with one of the mobile subsystems, which would include a helmet that would hold floating electrodes (see figure) in those positions on the patient s head that are required in classical EEG data-collection techniques. A bundle of wires would couple the EEG signals from the electrodes to a multi-channel transmitter also located in the helmet. Electronic circuitry in the helmet transmitter would digitize the EEG signals and transmit the resulting data via a multidirectional RF patch antenna to a remote location. At the remote location, the subject s EEG data would be processed and stored in a database that would be auto-administered by a newly designed relational database management system (RDBMS). In this RDBMS, in nearly real time, the newly stored data would be subjected to automated interpretation that would involve comparison with other EEG data and concomitant peer-reviewed diagnoses stored in international brain data bases administered by other similar RDBMSs.

  7. Usability of four commercially-oriented EEG systems

    Science.gov (United States)

    Hairston, W. David; Whitaker, Keith W.; Ries, Anthony J.; Vettel, Jean M.; Cortney Bradford, J.; Kerick, Scott E.; McDowell, Kaleb

    2014-08-01

    Electroencephalography (EEG) holds promise as a neuroimaging technology that can be used to understand how the human brain functions in real-world, operational settings while individuals move freely in perceptually-rich environments. In recent years, several EEG systems have been developed that aim to increase the usability of the neuroimaging technology in real-world settings. Here, the usability of three wireless EEG systems from different companies are compared to a conventional wired EEG system, BioSemi’s ActiveTwo, which serves as an established laboratory-grade ‘gold standard’ baseline. The wireless systems compared include Advanced Brain Monitoring’s B-Alert X10, Emotiv Systems’ EPOC and the 2009 version of QUASAR’s Dry Sensor Interface 10-20. The design of each wireless system is discussed in relation to its impact on the system’s usability as a potential real-world neuroimaging system. Evaluations are based on having participants complete a series of cognitive tasks while wearing each of the EEG acquisition systems. This report focuses on the system design, usability factors and participant comfort issues that arise during the experimental sessions. In particular, the EEG systems are assessed on five design elements: adaptability of the system for differing head sizes, subject comfort and preference, variance in scalp locations for the recording electrodes, stability of the electrical connection between the scalp and electrode, and timing integration between the EEG system, the stimulus presentation computer and other external events.

  8. Wireless and wearable EEG system for evaluating driver vigilance.

    Science.gov (United States)

    Lin, Chin-Teng; Chuang, Chun-Hsiang; Huang, Chih-Sheng; Tsai, Shu-Fang; Lu, Shao-Wei; Chen, Yen-Hsuan; Ko, Li-Wei

    2014-04-01

    Brain activity associated with attention sustained on the task of safe driving has received considerable attention recently in many neurophysiological studies. Those investigations have also accurately estimated shifts in drivers' levels of arousal, fatigue, and vigilance, as evidenced by variations in their task performance, by evaluating electroencephalographic (EEG) changes. However, monitoring the neurophysiological activities of automobile drivers poses a major measurement challenge when using a laboratory-oriented biosensor technology. This work presents a novel dry EEG sensor based mobile wireless EEG system (referred to herein as Mindo) to monitor in real time a driver's vigilance status in order to link the fluctuation of driving performance with changes in brain activities. The proposed Mindo system incorporates the use of a wireless and wearable EEG device to record EEG signals from hairy regions of the driver conveniently. Additionally, the proposed system can process EEG recordings and translate them into the vigilance level. The study compares the system performance between different regression models. Moreover, the proposed system is implemented using JAVA programming language as a mobile application for online analysis. A case study involving 15 study participants assigned a 90 min sustained-attention driving task in an immersive virtual driving environment demonstrates the reliability of the proposed system. Consistent with previous studies, power spectral analysis results confirm that the EEG activities correlate well with the variations in vigilance. Furthermore, the proposed system demonstrated the feasibility of predicting the driver's vigilance in real time. PMID:24860041

  9. Transurethral microwave thermotherapy for benign prostatic hyperplasia

    Directory of Open Access Journals (Sweden)

    Rubeinstein Jonathan N.

    2003-01-01

    Full Text Available Transurethral resection of the prostate (TURP remains the gold standard for treatment of benign prostatic hyperplasia (BPH. In general, while this procedure is safe, patients require a spinal, epidural, or general anesthesia and often several days of hospital stay; the potential morbidity and mortality limits the use of TURP in high-risk patients. Pharmacotherapy has been recommended as a first-line therapy for all patients with mild to moderate symptoms. Patients are oftentimes enthusiastic if they are offered a one-time method to treat lower urinary tract symptoms secondary to BPH, provided that the method offers reduced risk and allows an efficacy equal to that of medical therapy. One such method is transurethral microwave thermotherapy (TUMT. TUMT involves the insertion of a specially designed urinary catheter with a microwave antenna, which heats the prostate and destroys hyperplastic prostate tissue. TUMT allows the avoidance of general or regional anesthesia, and results in minimal blood loss and fluid absorption. In this review, the authors discussed the current indications and outcome of TUMT, including the history of the procedure, the mechanism of action, the indications for TUMT, the pre-operative considerations, the patient selection, the results in terms of efficacy, by comparing TUMT vs. Sham, TUMT vs. Alpha-blocker and TUMT vs. TURP. Finally, the complications are presented, as well as other uses and future directions of the procedure. The authors concluded that TUMT is a safe and effective minimally invasive alternative to treatment of symptomatic BPH.

  10. Benign disease of the common bile duct.

    Science.gov (United States)

    Saxena, R; Pradeep, R; Chander, J; Kumar, P; Wig, J D; Yadav, R V; Kaushik, S P

    1988-08-01

    The incidence of common bile duct (CBD) pathology in a group of patients with benign biliary disease (n = 505) was found to be 23.2 per cent. The spectrum included 111 patients (90.2 per cent) with CBD stones, 37 of whom (33.3 per cent) had no symptoms or findings pre-operatively indicating CBD involvement. Five patients had papillary stenosis, three had postoperative CBD strictures, one had a choledochal cyst and one had an external biliary fistula. Of the 100 CBDs measuring more than 10 mm in diameter, 90 harboured calculi. In the remaining 23 CBDs measuring less than 10 mm, calculi were present in 21. The presence of CBD calculi was demonstrated by intra-operative cholangiography in 49 patients. In the remaining patients (n = 74), the diagnosis of CBD pathology was made either by percutaneous transhepatic cholangiography, endoscopic retrograde cholangio-pancreatography, T-tube cholangiography or peroperative palpation. The surgical procedures performed included choledochotomy and T-tube drainage (n = 74), transduodenal sphincteroplasty (n = 27) and choledochoduodenostomy (n = 18). The overall mortality and morbidity of CBD exploration was 3.3 per cent and 24.4 per cent respectively, which was significantly greater than that for cholecystectomy alone (0.3 per cent and 8.6 per cent respectively). Transduodenal sphincteroplasty carried a much higher mortality (11 per cent) and morbidity (52 per cent) when compared with other procedures. PMID:3167536

  11. [Pharmacological treatment of benign prostatic hyperplasia].

    Science.gov (United States)

    Oelke, M; Martinelli, E

    2016-01-01

    The pharmacological treatment of benign prostatic hyperplasia (BPH) is indicated when men suffer from lower urinary tract symptoms (LUTS) but there are no absolute indications for prostate surgery or severe bladder outlet obstruction. Phytotherapy can be used in men with mild to moderate LUTS and alpha-blockers can quickly and effectively decrease the LUTS and symptomatic disease progression. Phosphodiesterase type 5 inhibitors (PDE5-I) are an alternative to alpha-blockers when men experience bothersome side effects from alpha-blockers or erectile dysfunction. If patients predominantly have bladder storage symptoms and a small prostate, muscarinic receptor antagonists are a viable treatment option. The combination of alpha-blocker plus muscarinic receptor antagonist is more efficacious in reducing LUTS than the single drugs alone. The 5 alpha-reductase inhibitors (5ARI) can significantly decrease LUTS and disease progression (e.g. acute urinary retention and need for prostate surgery) in men with larger prostates (> 30-40 ml). The combination of 5ARI plus alpha-blocker can reduce LUTS and disease progression more effectively than drug monotherapy. Combination therapy with PDE5-I (tadalafil) plus 5ARI (finasteride) reduces LUTS more substantially than 5ARI alone and, additionally, PDE5-Is reduce the sexual side effects during 5ARI treatment. PMID:26676726

  12. Balloon catheter dilatation of benign urethral strictures

    International Nuclear Information System (INIS)

    The authors report their experience of benign urethral stricture dilatation by balloon catheter in 11 male patients. Ten posterior and 2 anterior urethral strictures were treated; in 1 patients several narrowings coexisted at various levels. Etiology was inflammatory in 4 cases, iatrogen in 3, post-traumatic in 2, and equivocal in 2. The patients were studied both before and soon after dilatation by means of retrograde and voiding cystourethrogram and uroflowgraphy; the follow-up (2-14 months) was performed by urodynamic alone. In all cases, dilatation was followed by the restoration of urethral gauge, together with prompt functional improvement of urodynamic parameters. The latter result subsisted in time in 9 patients. In 2 cases recurrences were observed demonstrated at once by clinics and urodynamics. Both lesions were successfully re-treated. Neither early not late complication occurred. In spite of the limited material, the valuable results obtained, together with the absence of complications, the peculiar morphology of recurrences, and the chance of repeating it make the procedure advisable as a valid alternative to conventional techniques for these pathologies

  13. Visual laser coagulation for benign prostatic hyperplasia

    International Nuclear Information System (INIS)

    A total of 28 patients with symptomatic bladder outlet obstruction due to benign prostatic hyperplasia were treated by visual laser coagulation (VLAP) performed with the Myriadlase side-firing neodymium: YAG laser fibre at 40 watts power. The treatment was performed as an outpatient procedure using intraurethral gel anaesthesia and light intravenous sedation and analgesia. Prostatic volume was 32 g and 650 joule per gram prostatic tissue was administered. The patients were evaluated at mean 9.2 weeks. The mean operative time was 34 minutes. The procedure was very gentle, all patients tolerated it well and there was no bleeding. Most patients experienced some dysuria for three to four weeks after the procedure, two had severe symptoms. Two patients remained in retention and required transurethral resection. The rest expressed subjective satisfaction with the results. Peak urinary flow increased from mean 9.0 ml/sec preoperatively to 15.4 ml/sec; a mean increase of 78%. One patients developed clinical urinary tract infection. There were no other complications of clinical significance. 19 refs., 1 fig

  14. Perspectives of radiation therapy in benign diseases

    International Nuclear Information System (INIS)

    Purpose: the numbers of patients with nonmalignant diseases referred for radiation therapy had to be evaluated for the last 4 years. Patients and methods: in the years 2002, 2004, and 2005 radiation therapy was performed in 61, 40, and 26 patients, respectively. Regularly, more women than men were treated, median age annually was 57, 54, and 55 years, respectively (table 1). The radiotherapy scheme was not modified within the evaluated period. Results: the proportion of nonmalignant diseases among all patients treated decreased from 4.7% in 2002 to 3.3% in 2004 and 2.2% in 2005, respectively. A shift was noticed toward the treatment of four main diseases (endocrine orbitopathy, prevention of heterotopic ossification, meningeoma, tendinitis, table 2). The number of referring physicians decreased from 19 to six. Conclusion: due to administrative restrictions for treatment in hospitals, budget restrictions in private practices and lasting, insufficient revenues for radiotherapy in nonmalignant diseases, radiation therapy for the entire group of benign diseases is endangered. (orig.)

  15. Skin conditions: benign nodular skin lesions.

    Science.gov (United States)

    Nguyen, Tam; Zuniga, Ramiro

    2013-04-01

    Benign subcutaneous lesions are a common reason that patients visit family physicians. Lipomas are the most common of these lesions; they most often occur on the trunk and proximal extremities. Recent data show that as many as half of the fat cells in lipomas are atypical. Ultrasound is used increasingly to confirm lipoma diagnosis, but deep lesions should be evaluated with magnetic resonance imaging study or computed tomography scan to exclude involvement of underlying structures and/or liposarcoma. Small lesions can sometimes be managed with serial injections of midpotency steroids. Larger lesions (larger than 5 cm), those compressing other structures, or those suspicious for malignancy should be excised using standard surgical excision or, when possible, the newer minimal-scar segmental extraction technique. Ganglion cysts are another common lesion, the presence of which often is confirmed with ultrasound if the diagnosis is not clinically apparent. Management includes splinting, aspiration, and/or injection of steroids, with or without hyaluronidase. Epidermal inclusion cysts, also called sebaceous cysts, typically are asymptomatic unless they become infected. Ultrasound can aid in diagnosis. The only definitive management is surgical excision with complete removal of the cyst wall or capsule, using minimal-scar segmental extraction or conventional surgical removal. PMID:23600336

  16. Smoking habit and benign breast disease

    International Nuclear Information System (INIS)

    The possible association between cigarette smoking and the risk of benign breast disease (BBD) was assessed in a case-control study conducted in Gdansk, Poland, between 1990 and 1994. The study compared 160 women with newly diagnosed BBD admitted to the Gdansk Cancer Outpatients Clinic and 160 controls, women from outpatients clinics at the Medical University of Gdansk. There was no convincing evidence of an association, either positive or negative, between various indicators of smoking habit (smoking status, number of cigarettes smoked per day, duration of smoking) and the risk of BBD. Slightly lower relative risk (RRs) of BBD in ex-smokers of 10 or more cigarettes per day (RR = 0.9; 95% confidence interval, CI: 0.4-2.2), and with duration of smoking >= (RR = 0.1-3.4), were also observed in current smokers (RR = 0.8; 95% CI: 0.4-1.5), and (RR = 0.8; 95% CI: 0.1-3.4), but these findings were not statistically significant. (author)

  17. Motif-Synchronization: A new method for analysis of dynamic brain networks with EEG

    Science.gov (United States)

    Rosário, R. S.; Cardoso, P. T.; Muñoz, M. A.; Montoya, P.; Miranda, J. G. V.

    2015-12-01

    The major aim of this work was to propose a new association method known as Motif-Synchronization. This method was developed to provide information about the synchronization degree and direction between two nodes of a network by counting the number of occurrences of some patterns between any two time series. The second objective of this work was to present a new methodology for the analysis of dynamic brain networks, by combining the Time-Varying Graph (TVG) method with a directional association method. We further applied the new algorithms to a set of human electroencephalogram (EEG) signals to perform a dynamic analysis of the brain functional networks (BFN).

  18. Nature-Inspired Algorithms for Selecting EEG Sources for Motor Imagery Based BCI

    Czech Academy of Sciences Publication Activity Database

    Basterrech, S.; Bobrov, P.; Frolov, A. A.; Húsek, Dušan

    Vol. 2. Cham: Springer, 2015 - (Rutkowski, L.; Korytkowski, M.; Scherer, R.; Tadeusiewicz, R.; Zadeh, L.; Zurada, J.), s. 79-90. (Lecture Notes in Artificial Intelligence. 9120). ISBN 978-3-319-19368-7. ISSN 0302-9743. [ICAISC 2015. International Conference on Artificial Intelligence and Soft Computing /14./. Zakopane (PL), 12.06.2015-16.06.2015] R&D Projects: GA MŠk ED1.1.00/02.0070 Grant ostatní: GA MŠk(CZ) EE2.3.30.0055 Institutional support: RVO:67985807 Keywords : brain computer interface * EEG pattern selection * Bayesian classifier * genetic algorithms * simulating annealing Subject RIV: IN - Informatics, Computer Science

  19. How about a Bayesian M/EEG imaging method correcting for incomplete spatio-temporal priors

    DEFF Research Database (Denmark)

    Stahlhut, Carsten; Attias, Hagai T.; Sekihara, Kensuke; Wipf, David; Hansen, Lars Kai; Nagarajan, Srikantan S.

    previous spatio-temporal inverse M/EEG models, the proposed model benefits of consisting of two source terms, namely, a spatio-temporal pattern term limiting the source configuration to a spatio-temporal subspace and a source correcting term to pick up source activity not covered by the spatio......B AUC is, 0.985 (sAquavit) and 0.857 (Bolstad et al., 2009). Our results demonstrate that the sAquavit model is capable in balancing spatio-temporal prior guidance and source correction estimation to obtain superior estimates relative to current inverse methods....

  20. An EEG-Based Fatigue Detection and Mitigation System.

    Science.gov (United States)

    Huang, Kuan-Chih; Huang, Teng-Yi; Chuang, Chun-Hsiang; King, Jung-Tai; Wang, Yu-Kai; Lin, Chin-Teng; Jung, Tzyy-Ping

    2016-06-01

    Research has indicated that fatigue is a critical factor in cognitive lapses because it negatively affects an individual's internal state, which is then manifested physiologically. This study explores neurophysiological changes, measured by electroencephalogram (EEG), due to fatigue. This study further demonstrates the feasibility of an online closed-loop EEG-based fatigue detection and mitigation system that detects physiological change and can thereby prevent fatigue-related cognitive lapses. More importantly, this work compares the efficacy of fatigue detection and mitigation between the EEG-based and a nonEEG-based random method. Twelve healthy subjects participated in a sustained-attention driving experiment. Each participant's EEG signal was monitored continuously and a warning was delivered in real-time to participants once the EEG signature of fatigue was detected. Study results indicate suppression of the alpha- and theta-power of an occipital component and improved behavioral performance following a warning signal; these findings are in line with those in previous studies. However, study results also showed reduced warning efficacy (i.e. increased response times (RTs) to lane deviations) accompanied by increased alpha-power due to the fluctuation of warnings over time. Furthermore, a comparison of EEG-based and nonEEG-based random approaches clearly demonstrated the necessity of adaptive fatigue-mitigation systems, based on a subject's cognitive level, to deliver warnings. Analytical results clearly demonstrate and validate the efficacy of this online closed-loop EEG-based fatigue detection and mitigation mechanism to identify cognitive lapses that may lead to catastrophic incidents in countless operational environments. PMID:27121994