Emotional-State Brain Network Analysis Revealed By Minimum Spanning Tree Using Eeg Signals

Jianhai Zhang,Shaokai Zhao,Guodong Yang,Jiajia Tang,Tao Zhang,Yong Peng,Wanzeng Kong

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)（2018）

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摘要

Brain networks have been widely constructed in affective computing. The use of it may cause the bias of emotional brain network analysis because of the threshold selection. In the study, we applied minimum spanning tree (MST) to 'spanning the edge of emotional brain network. The results show that the MST effectively avoid complicated threshold selection steps in network analysis and reduce computational complexity on a large scale.

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关键词

emotional analysis, EEG, Minimum spanning tree (MST), brain network analysis, phase locking value (PLV)

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