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| Home > Publications database > ERP-based interbrain causal model reveals closed-loop information interaction in interpersonal negotiations |
| Journal Article | FZJ-2026-00912 |
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2025
Academic Press
Orlando, Fla.
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Please use a persistent id in citations: doi:10.1016/j.neuroimage.2025.121541 doi:10.34734/FZJ-2026-00912
Abstract: 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.
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