Research on Depression Recognition Based on EEG Microstate Functional Connectivity

Dynamic analysis of brain networks can effectively distinguish patients with depression from healthy controls. This study not only provides a basis for exploring dynamic activities of brain regions associated with depression, but also offers potential objective physiological indicators for disease diagnosis.

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Publication Details

Journal
Journal of Integrative Neuroscience
Published
2026-02-13
DOI
https://doi.org/10.31083/jin48264
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

Research on Depression Recognition Based on EEG Microstate Functional Connectivity

Shirui Song, Lingyan Du, Xi Tan, Zhiyong Tang
Journal of Integrative Neuroscience
Functional Brain Connectivity Studies
article

Research on Depression Recognition Based on EEG Microstate Functional Connectivity

Shirui Song, Lingyan Du, Xi Tan, Zhiyong Tang
article en

Abstract

Dynamic analysis of brain networks can effectively distinguish patients with depression from healthy controls. This study not only provides a basis for exploring dynamic activities of brain regions associated with depression, but also offers potential objective physiological indicators for disease diagnosis.

Journal of Integrative NeuroscienceVol. 25(2)
Southwest Medical University (CN), Yibin University (CN), Zigong First People's Hospital (CN), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 42%
Functional Brain Connectivity Studies
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