在泛性焦虑症中注意力网络活动的减少和突出-默认模式转换的增加:静止状态EEG微态分析的证据
Xinyu Hao1, Mohan Ma2, Fanyu Meng2
1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China; Tianjin Key Laboratory of Brain Science and Neural Engineering, Tianjin University, Tianjin, People's Republic of China.
Journal of affective disorders
|January 1, 2025
概括
通用焦虑症 (GAD) 患者表现出大脑活动模式的改变,特别是减少了与注意力相关的大脑状态的使用,并增加了默认和突出网络之间的切换. 这些EEG微态变化可能解释了GAD的认知和情感困难.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 计算神经科学是一种神经科学.
背景情况:
- 通用焦虑症 (GAD) 的特点是过度担心和认知/情绪功能障碍.
- 功能磁共振成像 (fMRI) 研究显示GAD中异常网络活动,但缺乏时间分辨率.
- 脑电图 (EEG) 微态分析提供了毫秒分辨率,用于研究GAD中的快速神经动态.
研究的目的:
- 通过使用EEG微态分析,研究GAD认知和情绪缺陷的神经生理机制.
- 为了确定GAD患者和健康对照者之间大脑电活动动态的差异.
主要方法:
- 收集了28名GAD患者和28名健康对照 (HC) 的64通道静止状态EEG数据.
- 分析了EEG数据以识别和描述五个不同的微状态类 (A-E).
- 比较微态参数 (持续时间,发生率,覆盖率) 和GAD和HC组之间的过渡概率.
主要成果:
- GAD患者显示显著减少了D类微状态的持续时间,发生率和覆盖率 (p < 0.01),与注意力网络相关.
- GAD患者的过渡概率发生了变化:A→D,B→D,C→D,E→D (p <0.05) 降低,C→E,E→C (p <0.01) 增加.
- 这些发现表明,在GAD中,对与注意力相关的状态的转变受损,以及在默认模式和突出网络之间过度活跃.
结论:
- 脑电图微态分析显示了GAD中明显的神经生理变化,特别是注意力和网络切换动态.
- 降低的微状态D参数可能是GAD注意力缺陷和认知控制受损的基础.
- 改变的网络过渡与反和情绪调节困难相关,为GAD病理生理学提供了洞察力.
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