Functional gradients reveal cortical hierarchy changes in multiple sclerosis

• Published in: Human brain mapping Vol. 45; no. 6; pp. e26678 - n/a
• Main Authors: De Rosa, Alessandro Pasquale, d'Ambrosio, Alessandro, Bisecco, Alvino, Altieri, Manuela, Cirillo, Mario, Gallo, Antonio, Esposito, Fabrizio
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 15.04.2024
• Subjects: Adult; Cerebral Cortex - diagnostic imaging; Cerebral Cortex - physiopathology; Connectome - methods; Default Mode Network - diagnostic imaging; Default Mode Network - physiopathology; Female; functional connectivity; functional gradients; Humans; machine learning; Magnetic Resonance Imaging; Male; Middle Aged; multiple sclerosis; Multiple Sclerosis - diagnostic imaging; Multiple Sclerosis - pathology; Multiple Sclerosis - physiopathology; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; resting‐state fMRI; functional connectivity; machine learning; multiple sclerosis; functional gradients; resting‐state fMRI

Functional gradient (FG) analysis represents an increasingly popular methodological perspective for investigating brain hierarchical organization but whether and how network hierarchy changes concomitant with functional connectivity alterations in multiple sclerosis (MS) has remained elusive. Here,...