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Research on Depression Recognition Based on EEG Microstate Functional Connectivity | Synapse

March 2, 2026Open Access

Research on Depression Recognition Based on EEG Microstate Functional Connectivity

Key Points

To explore how EEG microstate functional connectivity can differentiate patients with depression from healthy individuals.
Dynamic analysis of brain networks
Comparison between depression patients and healthy controls
Investigation of brain region activities related to depression
EEG analysis differentiated depression patients from healthy controls
Identified specific brain activities linked to depression
Provided potential objective physiological indicators for diagnosis

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.

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Cite This Study

Tang et al. (Fri,) studied this question.

synapsesocial.com/papers/69a52e26f1e85e5c73bf19f3 https://doi.org/https://doi.org/10.31083/jin48264