Unveiling diverse clinical symptom patterns and neural activity profiles in major depressive disorder subtypes.

ABSTRACT:

Background

The heterogeneity of major depressive disorder (MDD) significantly hinders its effective and optimal clinical outcomes. This study aimed to identify MDD subtypes by adopting a data-driven approach and assessing validity based on symptomatology and neuroimaging.

Methods

A total of 259 patients with MDD and 92 healthy controls were enrolled in this cross-sectional study. Latent profile analysis (LPA) was used to identify MDD subtypes based on validated clinical symptoms. To examine whether there were differences between these identified MDD subtypes, network analysis was used to test any differences in symptom patterns between these subtypes. We also compared neural activity between these identified MDD subtypes and tested whether certain neural activities were rela

SUBMITTER: Wang X 

PROVIDER: S-EPMC12142561 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature