独特的神经时间结构编码了快速的社会表达和持续的内部情绪状态
Bina Kakusa1, Jay R Gopal2, Lillian Forman3,4
1Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA.
bioRxiv : the preprint server for biology
|December 25, 2025
概括
大脑使用不同的神经机制来快速表达面部表情,而不是持续的情绪状态. 这些独特的情感处理系统表现出个体差异,影响情绪表现和测量.
科学领域:
- 神经科学是一个神经科学.
- 计算精神病学是一种计算精神病学.
- 情感科学是一种情感科学.
背景情况:
- 情感处理跨越快速的面部信号和持续的情绪,但底层的神经计算不清楚.
- 了解情绪的时间大脑架构是精神病学生物标志物的关键.
- 在情感处理中的个人差异仍然不太了解.
研究的目的:
- 调查面部表情和情绪状态的独特神经计算.
- 确定面部表情是否可靠地表明个人之间的情绪.
- 探索神经情绪编码中的个体变异性.
主要方法:
- 多模式方法:自动化面部表情分析和内EEG.
- 从16名患者 (2,037名接触者) 收集了多天的数据.
- 分析了1396个微笑,3746个中性表情和336个情绪评估.
主要成果:
- 横侧皮层的周期性活动准确地解码了参与者的面部表情.
- 面部表情并不能始终预测情绪状态.
- 边缘低马功率编码的情绪在一个子集的个体与表达情绪相关性.
- 表达和情绪解码的神经特征在计算上是独立的.
结论:
- 独特的神经机制是面部表情和情绪处理的基础.
- 在神经活动如何表示情绪方面存在个体差异.
- 这些发现为理解神经情绪表达和客观情感测量提供了一个框架.
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