Subcortical volumes as early predictors of fatigue in multiple sclerosis

Autor: Fleischer, Vinzenz, Ciolac, Dumitru, Gonzalez-Escamilla, Gabriel, Grothe, Matthias, Strauss, Sebastian, Molina Galindo, Lara S, Radetz, Angela, Salmen, Anke, Lukas, Carsten, Klotz, Luisa, Meuth, Sven G, Bayas, Antonios, Paul, Friedemann, Hartung, Hans-Peter, Heesen, Christoph, Stangel, Martin, Wildemann, Brigitte, Bergh, Florian Then, Tackenberg, Bj��rn, K��mpfel, Tania, Zettl, Uwe K, Knop, Matthias, Tumani, Hayrettin, Wiendl, Heinz, Gold, Ralf, Bittner, Stefan, Zipp, Frauke, Groppa, Sergiu, Muthuraman, Muthuraman

Publikováno v: Fleischer, Vinzenz; Ciolac, Dumitru; Gonzalez-Escamilla, Gabriel; Grothe, Matthias; Strauss, Sebastian; Molina Galindo, Lara S; Radetz, Angela; Salmen, Anke; Lukas, Carsten; Klotz, Luisa; Meuth, Sven G; Bayas, Antonios; Paul, Friedemann; Hartung, Hans-Peter; Heesen, Christoph; Stangel, Martin; Wildemann, Brigitte; Bergh, Florian Then; Tackenberg, Björn; Kümpfel, Tania; ... (2022). Subcortical volumes as early predictors of fatigue in multiple sclerosis. Annals of neurology, 91(2), pp. 192-202. Wiley-Blackwell 10.1002/ana.26290

OBJECTIVE Fatigue is a frequent and severe symptom in multiple sclerosis (MS), but its pathophysiological origin remains incompletely understood. We aimed to examine the predictive value of subcortical gray matter volumes for fatigue severity at dise

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https://boris.unibe.ch/163569/8/Annals_of_Neurology_-_2022_-_Fleischer_-_Subcortical_Volumes_as_Early_Predictors_of_Fatigue_in_Multiple_Sclerosis.pdf