基于ERP的脑间因果模型揭示了人际谈判中的闭环信息相互作用
Yuqin Li1, Genon Sarah2, Chunli Chen1
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
NeuroImage
|October 19, 2025
概括
在谈判过程中,大脑间的神经合显示出一个动态的,闭环的相互作用. 提出建议的人是提出建议的人.
科学领域:
- 神经科学是一个神经科学.
- 社会心理学 社会心理学
- 计算神经科学是一种神经科学.
背景情况:
- 了解资源分配中的社会决策需要了解人际谈判.
- 谈判的神经机制,特别是大脑间的动态,仍未得到充分探索.
研究的目的:
- 通过使用EEG超扫描来调查在谈判期间的脑间合和二极交换行为.
- 阐明适应性谈判策略背后的神经机制.
主要方法:
- 在代的最后通游戏中进行EEG超扫描.
- 分析前皮层事件相关潜力 (ERP),包括N200和反相关负面性 (FRN).
- 开发一种新的因果模型,使用定向相移 (dPTE) 和时间变化的ERP振幅.
主要成果:
- 不同的ERP (N200,FRN,N500) 反映了合作伙伴的行为线索 (公平/不公平的报价,接受/拒绝).
- 一个因果模型证明了一个闭环相互作用:提出者的大脑活动影响了响应者的大脑活动,反过来影响了提出者.
- 结合大脑间合的预测模型比单个大脑模型准确度更高.
结论:
- 动态间脑合对于人际协调和适应性谈判至关重要.
- 提出的因果模型为合作伙伴如何适应彼此的决定提供了机制性的解释.
- 这些发现为通过大脑间动力学和加强合作来研究社会行为提供了新的框架.
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