基于静息态和情绪Stroop任务的失语症患者抑郁症脑电图特征研究
[A study on electroencephalogram characteristics of depression in patients with aphasia based on resting state and emotional Stroop task].
作者信息
Ding Siyuan, Zhu Yan, Shi Chang, Yang Banghua
机构信息
Medical School, Shanghai University, Shanghai 200444, P. R. China.
Neurorehabilitation Department, The Second Rehabilitation Hospital of Shanghai, Shanghai 200431, P. R. China.
出版信息
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):488-495. doi: 10.7507/1001-5515.202503034.
Post-stroke aphasia is associated with a significantly elevated risk of depression, yet the underlying mechanisms remain unclear. This study recorded 64-channel electroencephalogram data and depression scale scores from 12 aphasic patients with depression, 8 aphasic patients without depression, and 12 healthy controls during resting state and an emotional Stroop task. Spectral and microstate analyses were conducted to examine brain activity patterns across conditions. Results showed that depression scores significantly negatively explained the occurrence of microstate class C and positively explained the transition probability from microstate class A to B. Furthermore, aphasic patients with depression exhibited increased alpha-band activation in the frontal region. These findings suggest distinct neural features in aphasic patients with depression and offer new insights into the mechanisms contributing to their heightened vulnerability to depression.
中风后失语症与抑郁症风险显著升高相关，但潜在机制仍不清楚。本研究记录了12名伴有抑郁症的失语症患者、8名无抑郁症的失语症患者和12名健康对照在静息状态和情绪Stroop任务期间的64导脑电图数据和抑郁量表评分。进行了频谱和微状态分析以检查不同条件下的脑活动模式。结果表明，抑郁评分显著负向解释了微状态C类的出现，并正向解释了从微状态A类到B类的转换概率。此外，伴有抑郁症的失语症患者额叶区域的α波段激活增加。这些发现揭示了伴有抑郁症的失语症患者独特的神经特征，并为导致他们易患抑郁症的机制提供了新的见解。
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