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001052296 1001_ $$0P:(DE-HGF)0$$aLi, Yuqin$$b0
001052296 245__ $$aERP-based interbrain causal model reveals closed-loop information interaction in interpersonal negotiations
001052296 260__ $$aOrlando, Fla.$$bAcademic Press$$c2025
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001052296 520__ $$adecision-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.
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001052296 7001_ $$0P:(DE-Juel1)161225$$aSarah, Genon$$b1
001052296 7001_ $$0P:(DE-HGF)0$$aChen, Chunli$$b2
001052296 7001_ $$aJiang, Lin$$b3
001052296 7001_ $$aChen, Baodan$$b4
001052296 7001_ $$aLi, Rihui$$b5
001052296 7001_ $$aLiang, Zhen$$b6
001052296 7001_ $$00000-0003-2485-2286$$aYu, Jing$$b7
001052296 7001_ $$0P:(DE-Juel1)190904$$aDong, Debo$$b8
001052296 7001_ $$00000-0002-9359-0737$$aWan, Fen$$b9
001052296 7001_ $$00000-0002-9014-9671$$aBecker, Benjamin$$b10
001052296 7001_ $$aYao, Dezhong$$b11
001052296 7001_ $$aLi, Fali$$b12
001052296 7001_ $$aZhang, Dandan$$b13
001052296 7001_ $$0P:(DE-Juel1)140459$$aXu, Peng$$b14$$eCorresponding author
001052296 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2025.121541$$gVol. 321, p. 121541 -$$p121541 -$$tNeuroImage$$v321$$x1053-8119$$y2025
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