可分离的神经网络用于处理不同空间频率的恐惧身体表情
Maria-Chiara Villa1, Alessio Borriero1,2,3, Matteo Diano1,4
1Department of Psychology, University of Torino, via G. Verdi 10, Torino 10124, Italy.
Cerebral cortex (New York, N.Y. : 1991)
|April 25, 2025
概括
大脑使用不同的空间频率 (SF) 范围来处理来自身体语言的视觉线索以检测威胁. 高的SFs有助于详细的情感评估,而低的SFs可以快速响应危险信号.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 视觉感知 视觉感知 视觉感知
背景情况:
- 面部表情是很好地研究情感线索,但身体表情仍然未被探索.
- 空间频率 (SF) 处理对于视觉输入至关重要,但其在解码身体情绪中的作用尚不清楚.
研究的目的:
- 在恐惧的身体表情中研究处理低 (LSF),高 (HSF) 和宽 (BSF) 空间频率的神经机制.
- 为了确定大脑如何在SF频段中区分情绪线索和身体姿势.
主要方法:
- 功能性磁共振成像 (fMRI) 在20名参与者身上观看SF过的身体表情.
- 多变量模式分析使用"搜索灯"方法来解码SF特定的神经激活模式.
主要成果:
- 广泛的SF (BSF) 处理激活了包括杏仁体在内的广泛网络,表明了一般威胁检测.
- 高SF (HSF) 处理参与区域进行详细评估和运动规划 (轨道前皮层,ACC,前运动皮层).
- 低SF (LSF) 处理主要激活快速反应的运动准备区域;杏仁体没有显示SF选择性.
结论:
- 大脑根据视觉细节灵活地调整SF处理策略以适应身体表情.
- 不同的神经网络处理不同的身体线索的SF,支持威胁检测,详细评估和快速行动准备.
- 杏仁体在处理身体情绪信号时,充当独立于SF的通用相关性探测器.
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