社交互动期间的大脑网络的效率与现实世界的社交网络大小有关
Mengfei Han1, Xin Liu1, Yongcong Shao2
1Aviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Behavioral and brain functions : BBF
|December 18, 2025
概括
神经效率会影响社交网络的大小. 优化的大脑网络,特别是带状皮质,与更好的社会适应和资源获取有关.
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:
- 社会关系显著影响健康和福祉.
- 了解优势社交网络位置的神经基础至关重要.
- 社会信息处理和社交网络结构之间的关系需要进一步研究.
研究的目的:
- 研究社交信息处理过程中神经激活模式与个人社交网络结构之间的关联.
- 为了确定与社交网络大小相关的特定大脑网络特征.
- 探索社会适应和资源获取的神经生物学基础.
主要方法:
- 利用囚犯困境游戏 (PDG) 进行社会互动模拟.
- 采用多层次的社交网络分析来绘制社会结构.
- 集成的大脑网络分析和机器学习,以将神经模式与网络属性相关联.
主要成果:
- 更大的社交网络大小与中环皮质 (MCC) 中节点效率的提高有关.
- 在具有较大的网络的个体中,在下回 (IOG) 中观察到效率降低.
- 在前带皮层-补充运动区域 (ACC-SMA) 和嗅觉-体感区域之间发现了增强的功能连接.
- 机器学习在IOG和海马中发现了节点效率的负面预测效应.
结论:
- 有效的脑网络组织,特别是用于冲突监测的带状皮质,与现实世界的社会适应有关.
- 选择性抑制视觉注意力和记忆处理有助于社会成功.
- 新的神经生物学见解揭示了神经效率在获取社会资源中的关键作用.
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