A data analysis pipeline was developed to correlate multiple sclerosis (MS) disease severity with regional susceptibility weighted imaging (SWI) intensity scores. It was assumed that reduced brain SWI signal correlated with elevated iron accumulation. Susceptibility weighted imaging (SWI) was used to map regional variations in brain iron content within each MS subtype. Number of brain areas with abnormal brain iron (relative to healthy age/sex matched controls), and the size of abnormal SWI image clusters, correlated with disease severity, based on subtype.
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