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Abstract #3152

Structural and functional damage of the sensorimotor network contribute to predict disability progression and phenotype evolution in patients with multiple sclerosis: a 6.5-year follow-up study

Massimo Filippi1,2, Loredana Storelli1, Alessandro Meani1, Chiara Cervellin1, Paola Valsasina1, Claudio Cordani1, Elisabetta Pagani1, Paolo Preziosa1,2, and Maria A. Rocca1,2

1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

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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