Prognostic value of single-subject grey matter networks in early multiple sclerosis

• Published in: Brain (London, England : 1878) Vol. 147; no. 1; pp. 135 - 146
• Main Authors: Fleischer, Vinzenz, Gonzalez-Escamilla, Gabriel, Pareto, Deborah, Rovira, Alex, Sastre-Garriga, Jaume, Sowa, Piotr, Høgestøl, Einar A, Harbo, Hanne F, Bellenberg, Barbara, Lukas, Carsten, Ruggieri, Serena, Gasperini, Claudio, Uher, Tomas, Vaneckova, Manuela, Bittner, Stefan, Othman, Ahmed E, Collorone, Sara, Toosy, Ahmed T, Meuth, Sven G, Zipp, Frauke, Barkhof, Frederik, Ciccarelli, Olga, Groppa, Sergiu
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 04.01.2024
• Subjects: Adult; Atrophy - pathology; Brain - diagnostic imaging; Brain - pathology; Disease Progression; Editor's Choice; Gray Matter - diagnostic imaging; Gray Matter - pathology; Humans; Magnetic Resonance Imaging - methods; Middle Aged; Multiple Sclerosis - diagnostic imaging; Multiple Sclerosis - pathology; Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging; Multiple Sclerosis, Relapsing-Remitting - pathology; Original; Prognosis; Young Adult; brain network measures; structural covariance; graph theory; relapsing-remitting multiple sclerosis; EDSS progression in MS

Abstract The identification of prognostic markers in early multiple sclerosis (MS) is challenging and requires reliable measures that robustly predict future disease trajectories. Ideally, such measures should make inferences at the individual level to inform clinical decisions. This study investiga...