Multiple sclerosis (MS) is a complex disease, characterized by a highly heterogeneous disease evolution. The prognostic value of magnetic resonance imaging (MRI) in clinically definite MS is still debated. The aim of this study was to find possible structural and functional MR imaging prognostic biomarkers able to guide treatment decisions in MS disease course. The analysis of structural and functional MRI networks was able to improve our understanding of the extreme variability in MS and allowed prognosis prediction at an individual level.
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