积极避免潜在的威胁体现在振荡性大脑活动中
Arash Mirifar1, Yannik Stegmann2, Hannah Engle3
1Laboratory for Brain, Body, & Behavior, Department of Psychology, University of Florida, Gainesville, FL, 32601, USA. a.mirifar@ufl.edu.
Scientific reports
|December 8, 2025
概括
这项研究揭示了像alpha和mu这样的大脑节奏如何支持主动避免威胁. 降低的mu功率预测了更快的回避,而alpha功率则与威胁感知期间的焦虑水平有关.
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
- 计算神经科学是一种神经科学.
背景情况:
- 威胁检测对于生存至关重要,但积极的回避机制尚未得到充分研究.
- 之前的研究主要集中在被动威胁感知上,使主动防御的神经支不清楚.
研究的目的:
- 通过使用电脑电图 (EEG) 来研究主动避免威胁的神经机制.
- 探索振荡性大脑活动在区分可避免和不可避免的威胁中的作用.
主要方法:
- 来自95名参与者执行威胁响应任务的EEG数据的二次分析.
- 在三种提示条件下对alpha和mu节律的时间频率分析 (不可避免的冲击,可以避免的冲击,没有冲击).
主要成果:
- 在威胁条件下观察到表层α和左中心mu活动的显著差异.
- 在威胁抵消之前减少的mu功率预测了更快的回避反应.
- 后部阿尔法功率与自我报告的焦虑负相关.
结论:
- 视觉和运动系统中的振荡活动不同地驱动了避免威胁的行为.
- 大脑节律在威胁检测和主动防御之间的动态相互作用中发挥着至关重要的作用.
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