Individualized diagnosis of major depressive disorder via multivariate pattern analysis of thalamic sMRI features.

ABSTRACT:

Background

Magnetic resonance imaging (MRI) studies have found thalamic abnormalities in major depressive disorder (MDD). Although there are significant differences in the structure and function of the thalamus between MDD patients and healthy controls (HCs) at the group level, it is not clear whether the structural and functional features of the thalamus are suitable for use as diagnostic prediction aids at the individual level. Here, we were to test the predictive value of gray matter density (GMD), gray matter volume (GMV), amplitude of low-frequency fluctuations (ALFF), and fractional amplitude of low-frequency fluctuations (fALFF) in the thalamus using multivariate pattern analysis (MVPA).

Methods

Seventy-four MDD patients and 44 HC subjects were recruited. The Gaussian

SUBMITTER: Li H 

PROVIDER: S-EPMC8377985 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature