Transcriptional patterns of amygdala functional connectivity in first-episode, drug-naive major depressive disorder.

ABSTRACT: Previous research has established associations between amygdala functional connectivity abnormalities and major depressive disorder (MDD). However, inconsistencies persist due to limited sample sizes and poorly elucidated transcriptional patterns. In this study, we aimed to address these gaps by analyzing a multicenter magnetic resonance imaging (MRI) dataset consisting of 210 first-episode, drug-naïve MDD patients and 363 age- and sex-matched healthy controls (HC). Using Pearson correlation analysis, we established individualized amygdala functional connectivity patterns based on the Automated Anatomical Labeling (AAL) atlas. Subsequently, machine learning techniques were employed to evaluate the diagnostic utility of amygdala functional connectivity for identifying MDD at the individual

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11365938 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature