静态EEG微态的时间动态反映了大学生社会经济地位的差异
Qidan Ren1, Fangfang Long1, Yunlu Xie1
1School of Psychology, Guizhou Normal University, Guiyang, Guizhou, China.
PeerJ
|February 4, 2026
概括
社会经济地位 (SES) 显著影响大脑动态,影响听觉语言网络和默认模式网络. 低SES与大脑状态的改变有关,可能反映了对具有挑战性的环境的适应性反应.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 社会学 社会学 社会学
背景情况:
- 社会经济地位 (SES) 是影响人类发展的关键环境因素.
- 低SES暴露可以导致大脑结构和功能的持久变化.
- 了解SES如何塑造动态大脑状态至关重要.
研究的目的:
- 调查SES对静止状态大脑活动动态的影响.
- 通过使用脑电图 (EEG) 微态分析,探索大脑动态中的社会经济差异.
主要方法:
- 根据SES分数将参与者分为高SES和低SES组.
- 收集了参与者的静止状态EEG信号.
- 应用微态分析来识别四个正规神经网络 (微态A,B,C和D) 的时间特征.
主要成果:
- SES与与听觉语言处理和默认模式网络 (DMN) 相关的微状态A和C的时间特征有显著的相关性.
- 低SES个体表现出改变的微状态动态,包括增加微状态A的持续时间和发生,以及减少微状态C的发生.
- 在高和低SES组之间观察到明显的微状态过渡模式,这表明认知控制的差异.
结论:
- SES差异与时空EEG微态动态有着强烈的关联.
- 大脑状态的重新配置可能代表大脑对具有挑战性的社会经济环境的反应.
- 研究结果突出了社会经济背景对大脑功能的神经生物学影响.
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