Investigating Information flow between interacting brains using fNIRS-hyperscanning technique

[Speaker] Zhu, Chaozhe:1
[Co-author] Dai, Ruina:1, Duan, Lian:1, Zhang, Zong:1, Xiao, Xiang:1, Sun, Peipei:1, Yu, Xiaoting:1, Huang, Yuxia:1
1:State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University (China (People's Republic of China))

Information exchange plays critical role in adapting to and alter other people's behavior during social interactions. However, the brain basis of social information exchange is rarely explored. In the present study, we used fNIRS-hyperscanning to investigate the neural correlates of the information exchange during a joint tapping task. Three types of information exchange were set: 1) bidirectional transfer; 2) unidirectional transfer; 3) no transfer. The tapping results confirms the previous findings: dyads show "leader-follower pattern" in unidirectional condition and "mutual-follower pattern" in bidirectional condition. The preliminary neural results show: 1) in bidirectional condition, double peaks appears in cross-correlation curve of PFC which may relates to mutual-follower pattern; 2) in unidirectional condition, senders' PFC activity precede receivers' in 25/42 pairs. This suggests that the synchronization of PFC may reflect the different information transfer patterns during social interaction.
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