EEG microstate and functional connectivity analyses for differentiating suicide attempt from suicidal ideation in major depressive disorder.

ABSTRACT:

Background

Suicide remains a critical public health issue, with self-report-based clinical assessments often failing to detect imminent risk. This study aimed to identify objective electroencephalography (EEG)-based neurobiological markers for differentiating a suicide attempt (SA) from suicidal ideation (SI) using EEG microstate and microstate-based functional connectivity (FC) analyses.

Methods

From 2017 to 2020, this study enrolled 130 medication-naïve major depressive disorder patients (68 SA, evaluated within 7 days of the attempt; 62 SI) at Soonchunhyang University Cheonan Hospital. Resting-state EEG data were analyzed using microstate analysis to explore temporal dynamics of brain topography and microstate-based FC to assess connectivity in theta, alpha, and beta band

SUBMITTER: Hwang H 

PROVIDER: S-EPMC12707185 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature