脑电图超扫描在交互式社会决策过程中揭示了动态的脑间网络模式
Yuqin Li1,2, Yajing Si3, Xiaoya Pang1,2
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, China.
Communications biology
|March 14, 2026
概括
这项研究揭示了社会决策过程中动态的大脑与大脑同步模式. 有优势的社会互动显示出更有效的脑间同步 (IBS) 网络,增强互惠行为.
科学领域:
- 神经科学是一个神经科学.
- 社会神经科学是一种社会神经科学.
- 认知神经科学 认知神经科学
背景情况:
- 之前的超扫描研究集中在整体脑间同步 (IBS) 模式上,忽视了细粒度的时间动态.
- 了解动态IBS对于阐明社会决策的神经机制至关重要.
研究的目的:
- 在社会决策过程中调查大脑间同步 (IBS) 网络架构的时间动态.
- 探索IBS状态如何在社会互动和反的不同阶段发生变化.
- 研究有利/不利的社会条件与IBS动态之间的关系.
主要方法:
- 电脑电图 (EEG) 在一场代的最后通游戏中记录了提议者-响应者对.
- 使用源本地化的波形变换连贯性和k-means集群,分析了时间变化的IBS网络架构.
主要成果:
- 在响应和反期间确定了不同的IBS状态,其特点是特定的网络配置.
- 早期的状态涉及后面的头顶同步 (共享的注意力/视觉处理),而后来的状态显示出增加的正面和 temporoparietal 同步 (决策执行/适应).
- 有利的条件 (公平的建议,接受反) 导致更积极和更有效的动态IBS状态,与增加的互惠行为相关联.
结论:
- 社会决策涉及时间上不同的和功能上专门的脑间同步 (IBS) 状态.
- 在关键皮质区域之间灵活的脑间沟通可以动态调节社会决策.
- IBS网络的效率受到社会互动的价值的影响,影响相互行为.
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