Molecular and immunological MS studies Funding and collaborators

Fleischer V, Gonzalez-Escamilla G, Pareto D, Rovira A, Sastre-Garriga J, Sowa P, Høgestøl EA, Harbo HF, Bellenberg B, Lukas C, Ruggieri S, Gasperini C, Uher T, Vaneckova M, Bittner S, Othman AE, Collorone S, Toosy AT, Meuth SG, Zipp F, Barkhof F, Ciccarelli O, Groppa S (2024)
Prognostic value of single-subject grey matter networks in early multiple sclerosis
Brain, 147 (1), 135-146
DOI 10.1093/brain/awad288, PubMed 37642541

Kennedy KE, Kerlero de Rosbo N, Uccelli A, Cellerino M, Ivaldi F, Contini P, De Palma R, Harbo HF, Berge T, Bos SD, Høgestøl EA, Brune-Ingebretsen S, de Rodez Benavent SA, Paul F, Brandt AU, Bäcker-Koduah P, Behrens J, Kuchling J, Asseyer S, Scheel M, Chien C, Zimmermann H, Motamedi S, Kauer-Bonin J, Saez-Rodriguez J et al. (2024)
Multiscale networks in multiple sclerosis
PLoS Comput Biol, 20 (2), e1010980
DOI 10.1371/journal.pcbi.1010980, PubMed 38329927

Andorra M, Freire A, Zubizarreta I, de Rosbo NK, Bos SD, Rinas M, Høgestøl EA, de Rodez Benavent SA, Berge T, Brune-Ingebretse S, Ivaldi F, Cellerino M, Pardini M, Vila G, Pulido-Valdeolivas I, Martinez-Lapiscina EH, Llufriu S, Saiz A, Blanco Y, Martinez-Heras E, Solana E, Bäcker-Koduah P, Behrens J, Kuchling J, Asseyer S et al. (2023)
Predicting disease severity in multiple sclerosis using multimodal data and machine learning
J Neurol, 271 (3), 1133-1149
DOI 10.1007/s00415-023-12132-z, PubMed 38133801