机构：[1]School of Electrical Engineering, Southwest MinzuUniversity, Chengdu 610041, China[2]Key Laboratory of Electronic Information of State EthnicAffairs Commission, Southwest Minzu University,Chengdu 610041, China[3]The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation, University ofElectronic Science and Technology of China,Chengdu 611731, China[4]School of Life Science and Technology, Center forInformation in BioMedicine, University of ElectronicScience and Technology of China, Chengdu 611731, China[5]School of Bioinformatics, Chongqing University of Post andTelecommunications, Chongqing 400065, China[6]School of Psychology, Xinxiang Medical University,Xinxiang 453003, China[7]Department of Equipment, Sichuan Cancer Hospital andInstitute, Sichuan Cancer Center, School of Medicine,University of Electronic Science and Technology of China,Chengdu 610054, China四川省肿瘤医院[8]Radiation Oncology Key Laboratory of Sichuan Province,Chengdu 610042, China
Brain network analysis is one efficient tool in exploring human brain diseases and can differentiate the alterations from comparative networks. The alterations account for time, mental states, tasks, individuals, and so forth. Furthermore, the changes determine the segregation and integration of functional networks that lead to network reorganization (or reconfiguration) to extend the neuroplasticity of the brain. Exploring related brain networks should be of interest that may provide roadmaps for brain research and clinical diagnosis. Recent electroencephalogram (EEG) studies have revealed the secrets of the brain networks and diseases (or disorders) within and between subjects and have provided instructive and promising suggestions and methods. This review summarized the corresponding algorithms that had been used to construct functional or effective networks on the scalp and cerebral cortex. We reviewed EEG network analysis that unveils more cognitive functions and neural disorders of the human and then explored the relationship between brain science and artificial intelligence which may fuel each other to accelerate their advances, and also discussed some innovations and future challenges in the end.
基金：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61961160705, U19A2082, 61901077]; Science and Technology Development Fund, Macau SAR [0045/2019/AFJ]; Project of Science and Technology Department of Sichuan Province [2021YFSY0040, 2018JZ0073, 2020ZYD013]; Key Research and Development Program of Guangdong Province, China [2018B030339001]
第一作者机构：[1]School of Electrical Engineering, Southwest MinzuUniversity, Chengdu 610041, China[2]Key Laboratory of Electronic Information of State EthnicAffairs Commission, Southwest Minzu University,Chengdu 610041, China
共同第一作者：
通讯作者：
通讯机构：[3]The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation, University ofElectronic Science and Technology of China,Chengdu 611731, China[4]School of Life Science and Technology, Center forInformation in BioMedicine, University of ElectronicScience and Technology of China, Chengdu 611731, China
推荐引用方式(GB/T 7714)：
Luo Cuihua,Li Fali,Li Peiyang,et al.A survey of brain network analysis by electroencephalographic signals[J].COGNITIVE NEURODYNAMICS.2022,16(1):17-41.doi:10.1007/s11571-021-09689-8.
APA：
Luo, Cuihua,Li, Fali,Li, Peiyang,Yi, Chanlin,Li, Chunbo...&Xu, Peng.(2022).A survey of brain network analysis by electroencephalographic signals.COGNITIVE NEURODYNAMICS,16,(1)
MLA：
Luo, Cuihua,et al."A survey of brain network analysis by electroencephalographic signals".COGNITIVE NEURODYNAMICS 16..1(2022):17-41
