TY - GEN
T1 - Global and node attributes of binary brain function network related to emotion
AU - Cao, Tianao
AU - Wang, Qisong
AU - Liu, Dan
AU - Tang, Jiaze
AU - Sun, Jinwei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/14
Y1 - 2021/4/14
N2 - This paper studies the functional connection of brain regions by using network analysis method. Through the analysis of network attributes, the influence of different emotions on brain functional network connection and the construction method of brain functional network are learned. In this paper, we used Electroencephalogram (EEG) signals to construct the binary brain networks based on correlation and phase synchrony. Firstly, the global network attributes under different emotions were studied, and the results obtained by different network construction methods were compared. We find that the brain functional networks with different definitions share common characteristics in the global attribute change. Secondly, the node attributes were analyzed. The results show that the node attributes of brain functional network, such as degree, betweenness centrality and local efficiency, can reflect the change of emotion. This paper provides clues for the study of emotional brain network analysis.
AB - This paper studies the functional connection of brain regions by using network analysis method. Through the analysis of network attributes, the influence of different emotions on brain functional network connection and the construction method of brain functional network are learned. In this paper, we used Electroencephalogram (EEG) signals to construct the binary brain networks based on correlation and phase synchrony. Firstly, the global network attributes under different emotions were studied, and the results obtained by different network construction methods were compared. We find that the brain functional networks with different definitions share common characteristics in the global attribute change. Secondly, the node attributes were analyzed. The results show that the node attributes of brain functional network, such as degree, betweenness centrality and local efficiency, can reflect the change of emotion. This paper provides clues for the study of emotional brain network analysis.
KW - Binary network
KW - Brain function network
KW - Emotion
KW - Global attribute
KW - Node attribute
UR - https://www.scopus.com/pages/publications/85106023091
U2 - 10.1109/IPEC51340.2021.9421168
DO - 10.1109/IPEC51340.2021.9421168
M3 - 会议稿件
AN - SCOPUS:85106023091
T3 - Proceedings of IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
SP - 841
EP - 847
BT - Proceedings of IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
Y2 - 14 April 2021 through 16 April 2021
ER -