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脑卒中后抑郁症静息脑电信号非线性特征提取与分析

ISSN号：1673-4181
期刊名称：《国际生物医学工程杂志》
时间：0
分类：R749.13[医药卫生—神经病学与精神病学;医药卫生—临床医学] R741.044[医药卫生—神经病学与精神病学;医药卫生—临床医学]
作者机构：[1]天津市康复医学研究所,天津市人民医院康复科,300121, [2]天津大学精密仪器与光电子工程学院生物医学工程系,300072
相关基金：国家自然科学基金项目（81222021,30970875,90920015,61172008,81171423）;国家科技支撑计划项目（2012BA134B02）;教育部新世纪优秀人才支持计划项目（NCET-10-0618）

作者：孙长城[1], 王春方[2], 王勇军[1], 杜金刚[1], 徐强[2], 綦宏志[2], 万柏坤[2], 明东[2]

关键词：脑卒中后抑郁症, 脑电信号, 样本熵, Lempel-Ziv复杂度, Post-stroke depression, EEG, Sample entropy, Lemple-Ziv complexity

中文摘要：

目的探究脑卒中后抑郁症（PSD）患者脑电信号的非线性动力学特征。方法利用样本熵和LZC复杂度分析的方法对10例健康人和14例脑卒中患者（4例脑卒中后无抑郁症患者及10例脑卒中后抑郁症患者）静息状态下的脑电信号进行复杂度分析。结果除个别导联（FP1，P4）以外，脑卒中患者组脑电信号的样本熵和LZC复杂度值均小于健康对照组；对于所有导联，脑卒中后抑郁症组脑电信号的样本熵和LZC复杂度值均小于脑卒中后无抑郁症组，并且在导联01、02处2参数的差异具有统计学意义（P〈0．05）。结论脑卒中患者相对于健康人表现同步脑电活动增加，且简单有序，其复杂度有所下降；而脑卒中后抑郁症与非抑郁症患者比较前者复杂度下降更为明显，在大脑枕叶尤为突出。本研究有望为脑卒中后抑郁症的辅助诊断提供帮助。

英文摘要：

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 02. 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.

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