Neural complexity in patients with poststroke depression: A resting EEG study

作者：Ying Zhang, Chunfang Wang, Changcheng Sun, Xi Zhang, Yongjun Wang, Hongzhi Qi, Feng He, Xin Zhao, Baikun Wan, Jingang Du, Dong Ming · 发表于：Journal of Affective Disorders · 年份：2015 · DOI：10.1016/j.jad.2015.09.017 · 被引用次数：41 · 研究领域：Stroke Rehabilitation and Recovery、Transcranial Magnetic Stimulation Studies、EEG and Brain-Computer Interfaces

BACKGROUND: Poststroke depression (PSD) is one of the most common emotional disorders affecting post-stroke patients. However, the neurophysiological mechanism remains elusive. This study was aimed to study the relationship between complexity of neural electrical activity and PSD. METHODS: Resting state eye-closed electroencephalogram (EEG) signals of 16 electrodes were recorded in 21 ischemic poststroke depression (PSD) patients, 22 ischemic poststroke non-depression (PSND) patients and 15 healthy controls (CONT). Lempel-Ziv Complexity (LZC) was used to evaluate changes in EEG complexity in PSD patients. Statistical analysis was performed to explore difference among different groups and electrodes. Correlation between the severity of depression (HDRS) and EEG complexity was determined with pearson correlation coefficients. Receiver operating characteristic (ROC) and binary logistic regression analysis were conducted to estimate the discriminating ability of LZC for PSD in specificity, sensitivity and accuracy. RESULTS: PSD patients showed lower neural complexity compared with PSND and CONT subjects in the whole brain regions. There was no significant difference among different brain regions, and no interactions between group and electrodes. None of the LZC significantly correlated with overall depression severity or differentiated symptom severity of 7 items in PSD patients, but in stroke patients, significant correlation was found between HDRS and LZC in the whole brain reg...