Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study

• Published in: NeuroImage clinical Vol. 17; pp. 444 - 451
• Main Authors: Bergsland, Niels, Horakova, Dana, Dwyer, Michael G., Uher, Tomas, Vaneckova, Manuela, Tyblova, Michaela, Seidl, Zdenek, Krasensky, Jan, Havrdova, Eva, Zivadinov, Robert
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01-01-2018; Elsevier
• Subjects: Atrophy; Brain - diagnostic imaging; Brain - pathology; Brain Mapping; Disability; Disease Progression; Female; Gray matter; Gray Matter - diagnostic imaging; Gray Matter - pathology; Humans; Longitudinal Studies; Magnetic Resonance Imaging; Male; Middle Aged; MRI; Multiple sclerosis; Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging; Multiple Sclerosis, Relapsing-Remitting - pathology; Regular; Disability; Atrophy; Multiple sclerosis; MRI; Gray matter
• ISSN: 2213-1582; 2213-1582
• DOI: 10.1016/j.nicl.2017.11.002

To investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting.
Brain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (n=85) and those without CDP (n=67) at the end of the study. An optimized, longitudinal source-based morphometry (SBM) pipeline, which utilizes independent component analysis, was used to identify eight spatial patterns of common GM volume co-variation in a data-driven manner. GM volume at baseline and rates of change were compared between patients with CDP and those without CDP.
The identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected p-values of 0.001 and 0.007). The patterns of GM atrophy associated with the development of CDP included areas involved in motor functioning and cognitive domains such as learning and memory.
SBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning.
•We present a longitudinal source-based morphometry (SBM) pipeline for detecting gray matter atrophy in multiple sclerosis.•We report a significantly greater rate of atrophy in patients developing disability progression over 10 years of follow-up.•We show that longitudinal SBM is potentially more sensitive than voxel-based morphometry in detecting gray matter atrophy.