Friday Lunch Seminar: Motoyuki Sanada: "EEG Synchronization Reveals the Impact of Group Identity and Membership Duration on Social Cognitive Bias" (On-line & In-person for CiNet members only)

Friday Lunch Seminar (English)
February 28, 2025  
12:15 〜 13:00 (JST)
Conference Room, CiNet bldg. / On-line

Talk Title:EEG Synchronization Reveals the Impact of Group Identity and Membership Duration on Social Cognitive Bias

Motoyuki Sanada
Researcher
Brain Function Analysis and Imaging Laboratory
Center for Information and Neural Networks (CiNet)
National Institute of Information and Communications Technology (NICT)

Host PI: Yasushi Naruse

Abstract:
Group identity induces social cognitive bias, and membership duration may amplify this bias. This study aimed to capture this bias through the similarity of neural processing across individuals in competitive scenarios. The fans of two Japanese baseball teams, the Hanshin Tigers and Orix Buffaloes, watched baseball matches between the teams, and EEG synchronisation was analysed for in-group (same team) and out-group (different team) pairs, considering fan history as a factor representing membership duration. The results revealed that in-group pairs showed stronger centroparietal alpha phase synchronisation than out-group pairs, suggesting that the modulation patterns of initial visual processing by top-down spatial attention were similar among in-group members. Furthermore, in-group pairs with longer fan histories exhibited higher parietal alpha power synchronisation, probably reflecting shared engagement and emotional responses, whereas this effect was absent in out-group pairs. Interestingly, longer fan histories were associated with reduced parietal delta and theta phase synchronisations, possibly due to diverse late-stage attentional processes among experienced fans. Additionally, frontal alpha phase synchronisation increased with fan history, indicating enhanced auditory attention in long-term fans. These findings highlight how group identity and membership duration shape neural processing, and EEG synchronisation analysis provides a robust method for examining biases.