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MULTIPLE SCLEROSIS

MRI predicts cognitive training effects in multiple sclerosis

Nature Reviews Neurology volume 18, pages 511–512 (2022)Cite this article

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Cognitive rehabilitation is a promising approach to limit the effect of cognitive impairment on patients with multiple sclerosis, although results so far are conflicting. A new study indicates that structural and functional MRI techniques could provide reliable measures to predict treatment responses and tailor the rehabilitative approach to each patient.

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Authors and Affiliations

  1. Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy

    Massimo Filippi & Paolo Preziosa

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  1. Massimo Filippi
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  2. Paolo Preziosa
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Correspondence to Massimo Filippi.

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Competing interests

M.F. is editor-in-chief of the Journal of Neurology, associate editor of Human Brain Mapping, associate editor of Radiology and associate editor of Neurological Sciences. He has received compensation for consulting services from Alexion, Almirall, Biogen, Merck, Novartis, Roche and Sanofi, and for speaking activities from Bayer, Biogen, Celgene, Chiesi Italia SpA, Eli Lilly, Genzyme, Janssen, Merck-Serono, Neopharmed Gentili, Novartis, Roche, Sanofi, Takeda and TEVA. He has participated on advisory boards for Alexion, Biogen, Bristol-Myers Squibb, Merck, Novartis, Roche, Sanofi, Sanofi-Aventis, Sanofi-Genzyme and Takeda, and has been a scientific director for educational events for Biogen, Merck, Roche, Celgene, Bristol-Myers Squibb, Lilly, Novartis and Sanofi-Genzyme. He receives research support from Biogen Idec, Merck-Serono, Novartis, Roche, the Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla and ARiSLA (Fondazione Italiana di Ricerca per la SLA). P.P. has received speaker honoraria from Roche, Biogen, Novartis, Merck Serono, Bristol Myers Squibb and Genzyme. He has received research support from the Italian Ministry of Health and Fondazione Italiana Sclerosi Multipla.

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Filippi, M., Preziosa, P. MRI predicts cognitive training effects in multiple sclerosis. Nat Rev Neurol 18, 511–512 (2022). https://doi.org/10.1038/s41582-022-00701-1

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