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@ARTICLE{Li:1052296,
      author       = {Li, Yuqin and Sarah, Genon and Chen, Chunli and Jiang, Lin
                      and Chen, Baodan and Li, Rihui and Liang, Zhen and Yu, Jing
                      and Dong, Debo and Wan, Fen and Becker, Benjamin and Yao,
                      Dezhong and Li, Fali and Zhang, Dandan and Xu, Peng},
      title        = {{ERP}-based interbrain causal model reveals closed-loop
                      information interaction in interpersonal negotiations},
      journal      = {NeuroImage},
      volume       = {321},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2026-00912},
      pages        = {121541 -},
      year         = {2025},
      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.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.neuroimage.2025.121541},
      url          = {https://juser.fz-juelich.de/record/1052296},
}