EEG microstate biomarkers for major depressive disorder: A comparative analysis using two independent datasets

EEG signals in MDD exhibit specific temporal dynamic patterns that are closely linked to alterations in brain functional networks. Microstate B parameters could serve as reliable biomarkers for the clinical diagnosis of MDD. These findings provide novel insights into the abnormal EEG dynamics of MDD and contribute to a deeper understanding of the neuropathological mechanisms underlying depression.

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Publication Details

Journal
Brain Research Bulletin
Published
2025-11-08
DOI
https://doi.org/10.1016/j.brainresbull.2025.111628
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43
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article

EEG microstate biomarkers for major depressive disorder: A comparative analysis using two independent datasets

Xiuling Liu, Licong Li, Yihan Wang, Jianli Yang et al.
1 citations
Brain Research Bulletin
Functional Brain Connectivity Studies
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article

EEG microstate biomarkers for major depressive disorder: A comparative analysis using two independent datasets

Xiuling Liu, Licong Li, Yihan Wang, Jianli Yang, Runqi Liu
article en
1 citations

Abstract

EEG signals in MDD exhibit specific temporal dynamic patterns that are closely linked to alterations in brain functional networks. Microstate B parameters could serve as reliable biomarkers for the clinical diagnosis of MDD. These findings provide novel insights into the abnormal EEG dynamics of MDD and contribute to a deeper understanding of the neuropathological mechanisms underlying depression.

Brain Research BulletinVol. 233
Hebei University (CN)
Openalex Percentile: Top 14%
Functional Brain Connectivity Studies
1.43
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