Multimodal Analysis of Brain Networks Contributes to Characterize Clinical Profiles in Multiple Sclerosis (P5-19.009)
Maria Rocca(Cognitive Neuroimaging Lab), Massimo Filippi(Vita-Salute San Raffaele University), Paola Valsasina(Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele), Sara Collorone(Anna Needs Neuroblastoma Answers), Nicolò Tedone(Vita-Salute San Raffaele University), Paolo Preziosa(Vita-Salute San Raffaele University), Menno Schoonheim(Amsterdam Neuroscience), Einar A. Høgestøl(University of Oslo), Nicola De Stefano(University of Siena), Antonio Gallo(University of Campania "Luigi Vanvitelli"), Patrizia Pantano(Istituto Neurologico Mediterraneo), Massimiliano Calabrese(University of Verona), Christian Enzinger(Medical University of Graz), Sara Llufriú(Hospital Clínic de Barcelona), Giuseppe Pontillo(Information Technology University), Sergiu Groppa(Johannes Gutenberg University Mainz)
Cited by 0
Related Papers
Multiple sclerosis
|Nature Reviews Disease Primers|2018|1.4k
Frequency, symptoms, risk factors, and outcomes of autoimmune encephalitis after herpes simplex encephalitis: a prospective observational study and retrospective analysis
|The Lancet Neurology|2018|645
Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines
|Brain|2019|554
Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis
|The Lancet Neurology|2015|523
Default-mode network dysfunction and cognitive impairment in progressive MS
|Neurology|2010|320