抑郁症自发脑电信号特异性研究进展

doi:10.3969/j.issn.0258-8021. 2014. 01.013

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Abstract Resting EEG reflects spontaneous and rhythmic electrical activity of the cortical neurons and contains rich physiological and pathological information, which is an important tool for the clinical diagnosis of brain disorders and mental illness. This article reviewed the research progress and development of the resting EEG of depression in three aspects: the frequency domain analysis, the nonlinear dynamic analysis and other methods such as causality, synchronization and independent component analysis. Influenced by gender, age and the restriction of the method itself, the conclusions achieved by frequency domain analysis were different in some aspects. In contrast, nonlinear dynamic and other analysis methods got relatively reliable results. Moreover, some parameters changed with clinical depressive symptoms were expected to be the marker of depression diagnosis and treatment effect evaluation of antidepressant drugs, which was worthy of further study.

Key words： depression resting EEG frequency domain nonlinear dynamic

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	WANG Chun Fang ZHANG Li Xin ZHANG Xi ZHAO Xin QI Hong ZhiZHOU Peng WAN Bai Kun &

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WANG Chun Fang ZHANG Li Xin ZHANG Xi ZHAO Xin QI Hong ZhiZHOU Peng WAN Bai Kun &. Research Progress on the Specificity of Resting EEG in Depression[J]. journal1, 2014, 33(1): 86-92.

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http://cjbme.csbme.org/EN/ 10.3969/j.issn.0258-8021. 2014. 01.013 OR http://cjbme.csbme.org/EN/Y2014/V33/I1/86

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