Abstract
Objective To analyze the non-linear dynamic characteristics of EEG of post-stroke depression subjects.Methods EEG signals of 10 healthy controls and 14 post-stroke subjects (4 post-stroke non-depression subjects and 10 post-stroke depression subjects included) were recorded in resting state.Two non-linear dynamic methods were used to estimate the complexity of the resting EEG activity:Sample entropy (SampEn) and Lemple-Ziv Complexity (LZC).Results Post-stroke subjects demonstrated lower values of the SampEn and LZC at all channels than healthy controls except for channels of FP1 and P4.Post-stoke depression subjects demonstrated lower values of the SampEn and LZC at all channels than post-stroke non-depression subjects with the significant differences (P＜0.05) at channel of O1 and O2.Conclusion Compared with healthy controls,post-stroke subjects have increased synchronous electrical activity of brain neurons along with the decline of the complexity of the resting EEG activity,which indicate that the brain activity are more simple and sequential.This phenomenon is more obvious in post-stroke depression subjects than post-stroke non-depression subjects,especially in the occipital region,which may be helpful in the diagnosis of the post-stroke depression. Key words: Post-stroke depression; EEG; Sample entropy; Lemple-Ziv complexity
Published Version
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