Contrastive Functional Connectivity Defines Neurophysiology-informed Symptom Dimensions in Major Depression.

ABSTRACT:

Background

Major depressive disorder (MDD) is a prevalent psychiatric disorder characterized by substantial clinical and neurobiological heterogeneity. Conventional studies that solely focus on clinical symptoms or neuroimaging metrics often fail to capture the intricate relationship between these modalities, limiting their ability to disentangle the complexity in MDD. Moreover, patient neuroimaging data typically contains normal sources of variance shared with healthy controls, which can obscure disorder-specific variance and complicate the delineation of disease heterogeneity.

Methods

We employed contrastive principal component analysis to extract disorder-specific variations in fMRI-based resting-state functional connectivity (RSFC) by contrasting MDD patients (N=233) wit

SUBMITTER: Zhu H 

PROVIDER: S-EPMC11482755 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature