Details

Autor(en) / Beteiligte

• Cao, Tianao
• Wang, Qisong
• Liu, Dan
• Tang, Jiaze
• Sun, Jinwei

Titel

Global and Node Attributes of Binary Brain Function Network Related to Emotion

Ist Teil von

• 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), 2021, p.841-847

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.