Progress in research of resting state EEG functional connectivity in patients with depression

doi:10.3877/cma.j.issn.1674-0785.2023.02.017

Abstract

Abstract:

Diagnosis and treatment of depression mainly rely on subjective scale evaluation and doctors' judgment, which often lead to poor consistency and high misdiagnosis rate, and there is a lack of objective, effective, convenient, and quick quantitative diagnostic indicators and methods. Electroencephalography (EEG) is a convenient and effective method to obtain the pathological changes of the depressed brain. In recent years, abnormal functional connectivity patterns of resting EEG have been found in depressed patients. Therefore, finding the characteristics of functional connectivity is helpful for the diagnosis and treatment of depression. This paper reviews the current status and problems in EEG functional connectivity research in depression in order to promote the study of diagnosis and treatment of depression.

Key words: Depression, EEG, Functional connectivity

Meng Guo, Lei Lei, Chunxia Yang, Ning Sun, Aixia Zhang, Kerang Zhang. Progress in research of resting state EEG functional connectivity in patients with depression[J]. Chinese Journal of Clinicians(Electronic Edition), 2023, 17(02): 210-214.

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