Multimodal predictors of disability progression and processing speed decline in relapsing-remitting multiple sclerosis.

ABSTRACT: The underlying mechanisms for neurodegeneration in multiple sclerosis are complex and incompletely understood. Multivariate and multimodal investigations integrating demographic, clinical, multi-omics, and neuroimaging data provide opportunities for nuanced analyses, aimed to define disease progression markers. We used data from a 12-year longitudinal multicenter cohort of 88 people with multiple sclerosis, to test the predictive value of multi-omics, T₁-weighted MRI (lesion count and volume, lesion-filled brain-predicted age), clinical examinations, self-reports on quality of life, demographics, and general health-related variables for future functional and cognitive disability. Systematic increases in Expanded Disability Status Scale (EDSS) scores were used to stratify a progr

SUBMITTER: Korbmacher M 

PROVIDER: S-EPMC12533244 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature