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Artifact suppression and analysis of brain activities with electroencephalography signals

Neural Regeneration Research 2013年第16期8卷 1500-1513页

作者： Md. Rashed-Al-Mahfuz Md. Rabiul Islam Keikichi Hirose Md. Khademul Islam Molla Department of Computer Science and Engineering Pabna University of Science and Technology Department of Information and Communication Engineering The University of Tokyo Department of Computer Science and Engineering Rajshahi University

Brain-computer interface is a communication system that connects the brain with computer （or other devices） but is not dependent on the normal output of the brain （i.e., peripheral nerve and muscle）. Electro-oculogram is a dominant artifact which has a significant negative influence on further analysis of real electroencephalography data. This paper presented a data adaptive technique for artifact suppression and brain wave extraction from electroencephalography signals to detect regional brain activities. Empirical mode decomposition based adaptive thresholding approach was employed here to suppress the electro-oculogram artifact. Fractional Gaussian noise was used to determine the threshold level derived from the analysis data without any training. The purified electroencephalography signal was composed of the brain waves also called rhythmic components which represent the brain activities. The rhythmic components were extracted from each electroencephalography channel using adaptive wiener filter with the original scale. The regional brain activities were mapped on the basis of the spatial distribution of rhythmic components, and the results showed that different regions of the brain are activated in response to different stimuli. This research analyzed the activities of a single rhythmic component, alpha with respect to different motor imaginations. The experimental results showed that the proposed method is very efficient in artifact suppression and identifying individual motor imagery based on the activities of alpha component.

关键词： neural regeneration brain activity brain waves data adaptive filtering electroencephalography electro-oculogram artifact topographic mapping Wiener filtering neuroregeneration

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Management of post-stroke depression(PSD)by electroencephalography for effective rehabilitation

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Engineered Regeneration 2023年第1期4卷 44-54页

作者： Bibo Yang Yanhuan Huang Zengyong Li Xiaoling Hu Department of Biomedical Engineering The Hong Kong Polytechnic UniversityHong KongChina Beijing Key Laboratory of Rehabilitation Technical Aids for Old‐Age Disability National Research Centre for Rehabilitation Technical Aids BeijingBeijingChina University Research Facility in Behavioral and Systems Neuroscience(UBSN) The Hong Kong Polytechnic UniversityHong KongChina The Hong Kong Polytechnic University Shenzhen Research Institute ShenzhenChina Research Institute for Smart Ageing(RISA) The Hong Kong Polytechnic UniversityHong KongChina

Post-stroke depression(PSD)has negative impacts on the daily life of stroke survivors and delays their neuro-logical ***,traditional post-stroke rehabilitation mainly focused on motor restoration,whereas little attention was given to the affective *** management of PSD,including diagnosis,intervention,and follow-ups,is essential for post-stroke *** an objective measurement of the nervous system,electroencephalography(EEG)has been applied to the diagnosis and evaluation of *** this paper,we re-viewed the literature most related to the clinical applications of EEG for PSD and offered a cross-section that is useful for selecting appropriate approaches in *** study aimed to gather EEG-based empirical ev-idence for PSD diagnosis,review interventions for managing PSD,and analyze the evaluation *** total,33 diagnostic studies and 19 intervention studies related to PSD and depression were selected from the *** was found that the EEG features analyzed by both band-based and nonlinear dynamic approaches were capable of quantifying the abnormal neural responses on the cortical level for PSD diagnosis and interven-tion evaluation/***,EEG-based machine learning has also been applied to the diagnosis and evaluation of depression to automate and speed up the process,and the results have been *** brain-computer interface(BCI)interventions have been widely applied to post-stroke motor rehabilitation and cognitive training,BCI emotional training has not been directly used in PSD *** review showed the need for understanding the cortical responses of PSD to improve its diagnosis and precision *** also revealed that future post-stroke rehabilitation plans should include training sessions for motor,affect,and cognitive functions and closely monitor their improvements.

关键词： Post-stroke depression Stroke rehabilitation electroencephalography Machine learning Brain-computer interface

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Abnormalities of electroencephalography microstates in patients with depression and their association with cognitive function

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World Journal of Psychiatry 2024年第1期14卷 128-140页

作者： Rui-Jie Peng Yu Fan Jin Li Feng Zhu Qing Tian Xiao-Bin Zhang Suzhou Medical College Soochow UniversitySuzhou 215123Jiangsu ProvinceChina Department of Psychiatry Suzhou Psychiatric HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhou 215137Jiangsu ProvinceChina

BACKGROUND A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography(EEG)in people with ***,the consistency of findings on EEG microstates in patients with depression is poor,and few studies have reported the relationship between EEG microstates,cognitive scales,and depression severity *** To investigate the EEG microstate characteristics of patients with depression and their association with cognitive *** A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders,Fifth *** collected information relating to demographic and clinical characteristics,as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS;Chinese version)and *** Compared with the controls,the duration,occurrence,and contribution of microstate C were significantly higher[depression(DEP):Duration 84.58±24.35,occurrence 3.72±0.56,contribution 30.39±8.59;CON:Duration 72.77±10.23,occurrence 3.41±0.36,contribution 24.46±4.66;Duration F=6.02,P=0.049;Occurrence F=6.19,P=0.049;Contribution F=10.82,P=0.011]while the duration,occurrence,and contribution of microstate D were significantly lower(DEP:Duration 70.00±15.92,occurrence 3.18±0.71,contribution 22.48±8.12;CON:Duration 85.46±10.23,occurrence 3.54±0.41,contribution 28.25±5.85;Duration F=19.18,P<0.001;Occurrence F=5.79,P=0.050;Contribution F=9.41,P=0.013)in patients with depression.A positive correlation was observed between the visuospatial/constructional scores of the RBANS scale and the transition probability of microstate class C to B(r=0.405,P=0.049).CONCLUSION EEG microstate,especially C and D,is a possible biomarker in *** with depression had a more frequent transition from microstate C to B,which may relate to more negative ruminati

关键词： Depression electroencephalography Microstates Cognitive functions

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High-frequency oscillations detected by electroencephalography as biomarkers to evaluate treatment outcome,mirror pathological severity and predict susceptibility to epilepsy

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Acta Epileptologica 2021年第1期3卷 205-213页

作者： Yueqian Sun Guoping Ren Jiechuan Ren Qun Wang Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases BeijingChina Beijing Institute of Brain Disorders Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina Beijing Key Laboratory of Neuromodulation BeijingChina

High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic *** understanding of the role of HFOs in epilepsy has been advanced considerably over the past decade,and the use of scalp EEG facilitates recordings of *** were initially applied in large scale in epilepsy surgery and are now being utilized in other *** this review,we summarize applications of HFOs in 3 subtopics:(1)HFOs as biomarkers to evaluate epilepsy treatment outcome;(2)HFOs as biomarkers to measure seizure propensity;(3)HFOs as biomarkers to reflect the pathological severity of ***,knowledge regarding the above clinical applications of HFOs remains limited at *** validation through prospective studies is required for its reliable application in the clinical management of individual epileptic patients.

关键词： High-frequency oscillations Epilepsy electroencephalography Treatment outcome Seizure prediction Pathology

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electroencephalography Analysis Using Neural Network and Support Vector Machine during Sleep

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Engineering（科研） 2013年第5期5卷 88-92页

作者： JeeEun Lee Sun K. Yoo Corresponding Author Department of Medical Engineering College of Medicine Yonsei University Seoul Korea Graduate School of Biomedical Engineering Yonsei University Seoul Korea

The purpose of this paper is to analyze sleep stages accurately using fast and simple classifiers based on the frequency domain of electroencephalography(EEG) signal. To compare and evaluate system performance, the rules of Rechtschaffen and Kales(R&K rule) were used. Parameters were extracted from preprocessing process of EEG signal as feature vectors of each sleep stage analysis system through representatives of back propagation algorithm and support vector machine (SVM). As a result, SVM showed better performance as pattern recognition system for classification of sleep stages. It was found that easier analysis of sleep stage was possible using such simple system. Since accurate estimation of sleep state is possible through combination of algorithms, we could see the potential for the classifier to be used for sleep analysis system.

关键词： Sleep electroencephalography Neural Network Backpropagation Algorithm SVM

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A Special electroencephalography Pattern Might Help in the Diagnosis of Antibody-positive Encephalitis

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Chinese Medical Journal 2015年第18期128卷 2474-2477页

作者： Li-Ping Mei Li-Ping Li Jing Ye Yu-Ping Wang Jun Zhao Tong Zhang Department of Neurology China Rehabilitation Research Center Beijing Bo'ai Hospital Capital Medical University Beijing 100068 China Department of Neurology Beijing Xuanwu Hospital Capital Medical University Beijing 100053 China

Background： Patterns observed with electroencephalography （EEG） for patients who have encephalitis are usually known as generalized nonspecific cerebral abnormalities. The aim of this study was to investigate the presence of a special EEG pattern for patients with encephalitis and to explore features related to this special and uncommon pattern. Methods： EEG monitoring was performed for every patient aged 〉15 years with encephalitis who was hospitalized between December 2011 and March 2014. Clinical characteristics and EEG recordings were collected and evaluated. Results： Filly-two patients with encephalitis were enrolled in our study with a 2-h median EEG recording time, and extreme beta brushes （EBBs） occurred in 17 patients （32.7%）. Its presence was not significant regarding gender, age, psychiatric medication use, EEG rhythmic disorganization （P 〉 0.05）. Nevertheless, among the patients with EBBs, nine patients （52.9%） had epileptic seizures that had a significant detection rate （P 〈 0.05）： moreover, the cerebrospinal fluid （CSF） or serum of 15 patients （88.2%） with EBBs was positive for antibodies （P 〈 0.05）. Four patients （23.5%） who had EBB had corresponding regional distributions on neurnimaging scans. The EBBs completely correlated with the regional distributions of spike discharges for four patients. Conclusion： EBB is a special EEG pattern for patients with encephalitis, especially those with epileptic seizures or who have antibody-positive CSF/serum, and should be considered in clinical practice.

关键词： Antibodies electroencephalography Encephalitis

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Recommendations for electroencephalography Monitoring in Neurocritical Care Units

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Chinese Medical Journal 2017年第15期130卷 1851-1855页

作者： Su, Ying-Ying Hong, Zhen Neurocritical Care Commitlee of the Chinese Society of Neurology (NCC/CSN)

INTRODUCTION Since the 1950s, electroencephalography （EEG） has been used extensively in Neurocritical Care Units （NCUs）. At the beginning of this century, China＇s NCUs underwent rapid development. According to an... 详细信息

关键词： electroencephalography Neurocritical Care Recommendation

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Nonlinear dynamics of electroencephalography study in schizophrenic patients

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Chinese Medical Journal 2013年第15期126卷 2886-2889页

作者： CHEN Xing-shi XU Yi-feng TANG Yun-xiang FANG Yi-ru ZHANG Chen ZHANG Ming-dao LOU Fei-ying LIANG Jian-hua CHEN Chong PAN Xiao YAN Jin CUI Yi Shanghai Jiao Tong Univ Shanghai Mental Hlth Ctr Dept Electrophysiol Shanghai 200030 Peoples R China Shanghai Jiao Tong Univ Shanghai Mental Hlth Ctr Dept Psychiat Shanghai 200030 Peoples R China PLA Mil Med Univ 2 Fac Psychol & Mental Hlth Shanghai 200433 Peoples R China

Background Few characteristic changes of linear electroencephalograph （EEG） have been reported in schizophrenia. The aim of the present study was to investigate the changes in temporal-spatial dimensional properties of EEG under different cognitive tasks in patients with schizophrenia. Methods EEG was recorded by using EEG-1518K system and mapping system （Nihon Kohden Tomioka Corporation, Japan） in 45 schizophrenic patients and 47 healthy adults （normal control, NC） under five states： eyes c^osed, eyes open, mental arithmetic test with eyes closed, memory test with eyes open, and number cancellation test. Correlation dimension （D2） and point-wise correlation dimension （PD2） were calculated for all EEG analyses. Results （1） There were no significant differences of D2 and PD2 between NC and schizophrenic patients under states of eyes open and closed. （2） Compared with NC, schizophrenic patients showed decreased performance of D2 in mental arithmetic test with eyes closed and number cancellation test （mental arithmetic test with eyes closed： Nc 5.9±0.6, Sch 3.0＋0.8; number cancellation test： Nc 6.0±0.6, Sch 4.4±0.7; P 〈0.05 or P 〈0.01）. （3） Schizophrenic patients also showed decrease performance of PD2 in mental arithmetic test with eyes closed, memory test with eyes open, and number cancellation test （mental arithmetic test with eyes closed： Nc 6.9±0.7, Sch 4.0±0.8; memory test with eyes open： Nc 6.6±0.8, Sch 5.0±0.9; number cancellation test： Nc 7.1±0.7, Sch 4.8±0.9; P 〈0.05 or P 〈0.01）. Conclusions Nonlinear dynamic analysis provided a new approach in clinical investigation of EEG signals. It was helpful to further understand the cerebral mechanism in schizophrenic cognitive process.

关键词： schizophrenia electroencephalography nonlinear dynamics cognition

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Physician Perception and Practice of electroencephalography in Enugu, South East Nigeria

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Open Journal of Internal Medicine 2019年第2期9卷 35-44页

作者： I. O. Onwuekwe N. C. Mbadiwe C. S. Eyisi B. Ezeala-Adikaibe C. J. Onwuekwe Department of Medicine College of Medicine University of Nigeria Enugu Campus Enugu Nigeria Department of Medicine University of Nigeria Teaching Hospital Ituku-Ozalla Enugu Department of Family Medicine University of Nigeria Teaching Hospital Ituku-Ozalla Enugu

Background: electroencephalography (EEG) is established for evaluating several acute and chronic medical conditions of neurological basis. In much of Nigeria and Africa, it is largely unavailable and underutilized due to scarcity of neurologists and high costs of the equipment. It offers a relatively simple and efficient way to help manage many encephalopathies if well utilized in trained hands. Aim: This study aimed to determine how physicians practicing in Enugu perceive and utilize electroencephalography routinely. Method: Physicians attending a statewide meeting in Enugu in August 2018 were consecutively recruited and a pretested questionnaire was administered after obtaining prior consent. Sociodemographic data as well as their knowledge, attitude and practice of electroencephalography were documented and analyzed. Results: There were 486 respondents (males 335: females 151) and 345 (71%) were specialists in various disciplines while 141 (29%) were general practitioners. Only 7 doctors (1.4%) claimed ignorance of electroencephalography and 6 (1.2%) stated it was not useful. Majority, 333 doctors (69.1%) believed it had no impact on routine patient management. This perception was highest for Dental Surgery (100%) and lowest for Internal Medicine (23%) specialists. Most doctors (425, 87.4%) agreed that neurologists should analyze recordings. Most physicians had no access to electroencephalography (61.7%) and had no interest in acquiring the machine (50.8%). Conclusion: electroencephalography is an underappreciated investigative modality amongst physicians in Enugu, despite a high burden of neurological diseases in the population. More education, training and awareness of its utility are needed for medical students and doctors to reverse the trend.

关键词： electroencephalography Physicians Practice Enugu Nigeria

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Investigating Neural Representation of Finger-Movement Directions Using electroencephalography Independent Components

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Journal of Biomedical Science and Engineering 2021年第6期14卷 240-265页

作者： Mohamed Mounir Tellache Hiroyuki Kambara Yasuharu Koike Makoto Miyakoshi Natsue Yoshimura School of Engineering Tokyo Institute of Technology Yokohama Japan Institute of Innovative Research Tokyo Institute of Technology Yokohama Japan Swartz Center for Computational Neuroscience Institute for Neural Computation University of California San Diego CA USA ATR Brain Information Communication Research Laboratory Group Kyoto Japan Integrative Brain Imaging Center National Center of Neurology and Psychiatry Tokyo Japan PRESTO JST Saitama Japan

There are few EEG studies on finger movement directions because ocular artifacts also convey directional information, which makes it hard to separate the contribution of EEG from that of the ocular artifacts. To overcome this issue, we designed an experiment in which EEG’s temporal dynamics and spatial information are evaluated together to improve the performance of brain-computer interface (BCI) for classifying finger movement directions. Six volunteers participated in the study. We examined their EEG using decoding analyses. Independent components (ICs) that represented brain-source signals successfully classified the directions of the finger movements with higher rates than chance level. The weight analyses of the classifiers revealed that maximal performance of the classification was recorded at the latencies prior to the onset of finger movements. The weight analyses also revealed the relevant cortical areas including the right lingual, left posterior cingulate, left inferior temporal gyrus, and right precuneus, which indicated the involvement of the visuospatial processing. We concluded that combining spatial distribution and temporal dynamics of the scalp EEG may improve BCI performance.

关键词： electroencephalography Independent Component Analysis Finger Movement Decoding Brain-Computer Interface Occipital Lobe

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