%0 Journal Article
%A Li, Yuqin
%A Sarah, Genon
%A Chen, Chunli
%A Jiang, Lin
%A Chen, Baodan
%A Li, Rihui
%A Liang, Zhen
%A Yu, Jing
%A Dong, Debo
%A Wan, Fen
%A Becker, Benjamin
%A Yao, Dezhong
%A Li, Fali
%A Zhang, Dandan
%A Xu, Peng
%T ERP-based interbrain causal model reveals closed-loop information interaction in interpersonal negotiations
%J NeuroImage
%V 321
%@ 1053-8119
%C Orlando, Fla.
%I Academic Press
%M FZJ-2026-00912
%P 121541 -
%D 2025
%X decision-making dynamics in resource allocation. In this study, we used EEG hyperscanning alongside an iteratedultimatum game to investigate interbrain coupling and dyadic exchange behavior during negotiation. Frontalcortex event-related potentials (ERPs) revealed the distinct neural responses driven by partners’ behavioral cues:the proposer’s N200 differed significantly for fair versus unfair offers, and the responder’s feedback-relatednegativity (FRN) showed a trend toward significance for the same contrast, while the proposer’s N500 variedbetween acceptance and rejection feedback. Our analysis introduced a novel causal model based on directionalphase transfer entropy (dPTE) and time-varying ERP amplitudes, illustrating directed neural processes driven bysocial exchange, where the proposer’s brain activity initially exerts a causal impact on the responder’s, whosefeedback in turn influences the proposer, creating a closed-loop interaction that drives adaptive negotiationstrategies. Additionally, our prediction model with autoregression with exogenous input, which incorporatedthese causal links between brains, demonstrated higher accuracy than single-brain or reverse causal models,underscoring the significance of dynamic interbrain coupling in interpersonal coordination. This causal modelprovides a mechanistic explanation of how proposer-responder pairs perceive and adapt to each other’s de-cisions, facilitating shared attention and behavioral coordination in reciprocal, asymmetric negotiations. Thesefindings offer a novel theoretical framework for studying complex social behaviors through interbrain dynamicsand may inspire future applications in enhancing cooperative decision-making processes.
%F PUB:(DE-HGF)16
%9 Journal Article
%R 10.1016/j.neuroimage.2025.121541
%U https://juser.fz-juelich.de/record/1052296