Deep gray matter substructure volumes and depressive symptoms in a large multiple sclerosis cohort.

ABSTRACT:

Background

Consistent findings on underlying brain features or specific structural atrophy patterns contributing to depression in multiple sclerosis (MS) are limited.

Objective

To investigate how deep gray matter (DGM) features predict depressive symptom trajectories in MS patients.

Methods

We used data from the MS Partners Advancing Technology and Health Solutions (MS PATHS) network in which standardized patient information and outcomes are collected. We performed whole-brain segmentation using SLANT-CRUISE. We assessed if DGM structures were associated with elevated depressive symptoms over follow-up and with depressive symptom phenotypes.

Results

We included 3844 participants (average age: 46.05 ± 11.83 years; 72.7% female) of whom 1905 (49.5%) experienced ⩾

SUBMITTER: Hu C 

PROVIDER: S-EPMC10277218 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature