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在有或没有自杀念头的抑郁患者中,EEG微态和认知功能之间的关联

Yuhang He¹, Fengchun Wu^1,2,3, Zhendong Zhang¹

¹Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China.

|November 19, 2025

概括

重度抑郁症 (MDD) 与自杀念头 (SI) 显示了大脑活动模式的改变. 这些EEG微态变化与较慢的处理速度有关,这表明MDD患者的脑网络不稳定.

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.
认知科学认知科学

背景情况:

大型抑郁症 (MDD) 与自杀念头 (SI),认知功能障碍和异常的大脑网络连接有关.
在MDD中,SI,认知功能和大规模大脑动态之间的准确关系尚未完全理解.
静态脑电图 (EEG) 微态分析提供了一种新的方法,通过检查短暂的全球大脑活动模式来调查这些关联.

研究的目的:

调查MDD患者与没有自杀念头 (SI) 之间的EEG微态动态的差异.
探索EEG微态参数,认知功能和MDD患者的SI严重程度之间的关联.
确定MDD的EEG微态变化是否与神经认知缺陷有关,特别是处理速度.

主要方法:

88名先前未服用药物,首发MDD患者被分为SI (n=54) 和noSI (n=34) 组,以及34名健康对照组.
用贝克自杀思维量表 (BSSI) 评估自杀念头,用 MATRICS 共识认知电池 (MCCB) 评估认知功能.
休息状态EEG数据被分析为微态参数,用ANOVA/ANCOVA检查组差异,并通过Pearson/部分方法分析相关性,控制与FDR校正进行多次比较.

主要成果:

与SI组相比,noSI组的微状态D覆盖率显著增加,A-D过渡概率更高,即使控制了共变量和FDR校正.
在SI组中,微态D覆盖率和A-D过渡概率与处理速度 (SDMT分数) 呈正相关.
SI严重程度与微状态C覆盖率和B-to-C过渡概率有负相关性,尽管这些发现没有经过统计调整.

结论:

患有SI的MDD患者表现出改变的EEG微态动态,特别是与处理速度降低相关.
这些发现表明,大规模的大脑网络的不稳定性可能是MDD中与自杀相关的神经认知功能障碍的基础.
脑电图微态显示出作为MDD自杀性神经基础的探索性生物标志物的潜力,需要进一步验证.

关键词:

认知功能障碍认知功能障碍电脑电脑电图微状态大型抑郁症主要是抑郁症.自杀的想法自杀的想法

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