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Brain functional and effective connectivity based on electroencephalography recordings: A review

文献类型：期刊论文

作者Cao, Jun6; Zhao, Yifan6; Shan, Xiaocai5,6; Wei, Hua-liang4; Guo, Yuzhu3; Chen, Liangyu2; Erkoyuncu, John Ahmet6; Sarrigiannis, Ptolemaios Georgios1
刊名HUMAN BRAIN MAPPING
出版日期2021-10-20
页码20
ISSN号1065-9471
关键词artificial intelligence brain association electroencephalogram machine learning survey
DOI10.1002/hbm.25683
英文摘要Functional connectivity and effective connectivity of the human brain, representing statistical dependence and directed information flow between cortical regions, significantly contribute to the study of the intrinsic brain network and its functional mechanism. Many recent studies on electroencephalography (EEG) have been focusing on modeling and estimating brain connectivity due to increasing evidence that it can help better understand various brain neurological conditions. However, there is a lack of a comprehensive updated review on studies of EEG-based brain connectivity, particularly on visualization options and associated machine learning applications, aiming to translate those techniques into useful clinical tools. This article reviews EEG-based functional and effective connectivity studies undertaken over the last few years, in terms of estimation, visualization, and applications associated with machine learning classifiers. Methods are explored and discussed from various dimensions, such as either linear or nonlinear, parametric or nonparametric, time-based, and frequency-based or time-frequency-based. Then it is followed by a novel review of brain connectivity visualization methods, grouped by Heat Map, data statistics, and Head Map, aiming to explore the variation of connectivity across different brain regions. Finally, the current challenges of related research and a roadmap for future related research are presented.
WOS关键词GRAPH-THEORETICAL ANALYSIS ; PARTIAL DIRECTED COHERENCE ; MILD COGNITIVE IMPAIRMENT ; EEG SIGNALS ; TRANSFER ENTROPY ; SYNCHRONIZATION LIKELIHOOD ; ALZHEIMERS-DISEASE ; MUTUAL INFORMATION ; CORTICAL CONNECTIVITY ; PHASE SYNCHRONIZATION
资助项目National Natural Science Foundation of China[61876015] ; Beijing Natural Science Foundation, China[4202040]
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者WILEY
WOS记录号WOS:000708885800001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation, China ; Beijing Natural Science Foundation, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation, China ; Beijing Natural Science Foundation, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation, China ; Beijing Natural Science Foundation, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation, China ; Beijing Natural Science Foundation, China
源URL[http://ir.iggcas.ac.cn/handle/132A11/102981]  
专题中国科学院地质与地球物理研究所
通讯作者Zhao, Yifan
作者单位1.Royal Devon & Exeter NHS Fdn Trust, Exeter, Devon, England
2.China Med Univ, Dept Neurosurg, Shengjing Hosp, Shenyang, Peoples R China
3.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
4.Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield, S Yorkshire, England
5.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China
6.Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
推荐引用方式
GB/T 7714		 Cao, Jun,Zhao, Yifan,Shan, Xiaocai,et al. Brain functional and effective connectivity based on electroencephalography recordings: A review[J]. HUMAN BRAIN MAPPING,2021:20.
APA Cao, Jun.,Zhao, Yifan.,Shan, Xiaocai.,Wei, Hua-liang.,Guo, Yuzhu.,...&Sarrigiannis, Ptolemaios Georgios.(2021).Brain functional and effective connectivity based on electroencephalography recordings: A review.HUMAN BRAIN MAPPING,20.
MLA Cao, Jun,et al."Brain functional and effective connectivity based on electroencephalography recordings: A review".HUMAN BRAIN MAPPING (2021):20.

入库方式： OAI收割

来源：地质与地球物理研究所

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