Rehabilitation Medical Department, Tianjin Union Medical Centre, Rehabilitation Medical Research Center of Tianjin, Tianjin, China.
Lab of Neural Engineering and Rehabilitation, Department of Biomedical Engineering, Tianjin University, Tianjin, China.
Int J Geriatr Psychiatry. 2018 Jul;33(7):934-940. doi: 10.1002/gps.4874. Epub 2018 Mar 13.
We aimed to explore the electrophysiological changes in poststroke subjects with depressed mood.
Resting-state electroencephalogram (EEG) signals of 16 electrodes in 35 poststroke depressed, 24 poststroke nondepressed, and 35 age-matched healthy control subjects were analyzed by means of spectral power analysis, a quantitative EEG measurement of different frequency bands. The relationship among depressed mood, functional status, lesion side, and poststroke time was assessed by using variance and Spearman correlation analysis. Multiple analysis of variance was used to compare the differences among the 3 groups. Binary logistic regression analysis was used to establish a regression model to predict depressed mood in stroke subjects and to explore the association between depression and EEG band power. Receiver operating characteristic curves were used to estimate the ability of spectral power selected by binary logistic regression to indicate depressed mood in stroke subjects.
We found that the hemisphere in which the lesion was located and the time since stroke onset had no effect on depressed mood. Only the patient's functional status was related to emotional symptoms. Quantitative EEG analysis revealed increased delta, theta, and beta2 power in stroke subjects with depressed mood, particularly in temporal regions. The theta and beta2 power in the right temporal area were shown to be highly sensitive to depressed mood, and these parameters showed good discriminatory ability for depressed subjects following stroke.
Depressed mood after stroke is associated with functional status. Quantitative EEG parameters may be a useful tool in timely screening for depressed mood after stroke.
我们旨在探讨伴有抑郁情绪的脑卒中患者的电生理变化。
通过频谱功率分析，对 35 例脑卒中后抑郁、24 例脑卒中后非抑郁和 35 名年龄匹配的健康对照者的 35 个电极的静息态脑电图（EEG）信号进行分析，这是一种不同频带的定量 EEG 测量方法。采用方差和 Spearman 相关分析评估抑郁情绪与功能状态、病灶侧和脑卒中后时间的关系。采用多元方差分析比较 3 组间的差异。采用二元逻辑回归分析建立回归模型，预测脑卒中患者的抑郁情绪，并探讨抑郁与 EEG 频带功率的关系。采用受试者工作特征曲线估计二元逻辑回归选择的频谱功率对脑卒中患者抑郁情绪的指示能力。
我们发现病灶所在的半球和脑卒中发病时间对抑郁情绪没有影响。只有患者的功能状态与情绪症状有关。定量脑电图分析显示，伴有抑郁情绪的脑卒中患者的 delta、theta 和 beta2 功率增加，特别是在颞区。右侧颞区的 theta 和 beta2 功率对抑郁情绪高度敏感，这些参数对脑卒中后抑郁患者具有良好的鉴别能力。
脑卒中后抑郁与功能状态有关。定量脑电图参数可能是脑卒中后及时筛查抑郁情绪的有用工具。
