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.
This is a preview of subscription content, log in via an institution to check access.
References
DeLuca, J., Chiaravalloti, N. D. & Sandroff, B. M. Treatment and management of cognitive dysfunction in patients with multiple sclerosis. Nat. Rev. Neurol. 16, 319–332 (2020).
Chen, M. H., Goverover, Y., Genova, H. M. & DeLuca, J. Cognitive efficacy of pharmacologic treatments in multiple sclerosis: a systematic review. CNS Drugs 34, 599–628 (2020).
Preziosa, P., Conti, L., Rocca, M. A. & Filippi, M. Effects on cognition of DMTs in multiple sclerosis: moving beyond the prevention of inflammatory activity. J. Neurol. 269, 1052–1064 (2022).
Goverover, Y., Chiaravalloti, N. D., O’Brien, A. R. & DeLuca, J. Evidenced-based cognitive rehabilitation for persons with multiple sclerosis: an updated review of the literature from 2007 to 2016. Arch. Phys. Med. Rehabil. 99, 390–407 (2018).
Rocca, M. A., Preziosa, P. & Filippi, M. Application of advanced MRI techniques to monitor pharmacologic and rehabilitative treatment in multiple sclerosis: current status and future perspectives. Expert Rev. Neurother. 19, 835–866 (2019).
Lampit, A. et al. Computerized cognitive training in multiple sclerosis: a systematic review and meta-analysis. Neurorehabil. Neural Repair 33, 695–706 (2019).
Prouskas, S. E. et al. A randomized trial predicting response to cognitive rehabilitation in multiple sclerosis: is there a window of opportunity? Mult. Scler. https://doi.org/10.1177/13524585221103134 (2022).
Rocca, M. A. et al. Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology 74, 1252–1259 (2010).
Eijlers, A. J. C. et al. Reduced network dynamics on functional MRI signals cognitive impairment in multiple sclerosis. Radiology 292, 449–457 (2019).
Fuchs, T. A. et al. Functional connectivity and structural disruption in the default-mode network predicts cognitive rehabilitation outcomes in multiple sclerosis. J. Neuroimaging 30, 523–530 (2020).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
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.
Rights and permissions
About this article
Cite this article
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
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41582-022-00701-1
- Springer Nature Limited