The role of network connectivity and transcriptomic vulnerability in shaping gray matter atrophy in multiple sclerosis
Year: 2026
Type: article
Study design: Observational Study
Abstract: Clinical progression is strongly linked to gray matter atrophy in multiple sclerosis (MS), detectable early on MRI and progressing nonrandomly across the brain. However, the mechanisms driving its spatiotemporal progression and individual variability remain unclear. Using MRIs from 2187 participants, alongside normative data, we systematically investigated network-based mechanisms underlying MS-related atrophy. Regional atrophy was associated with functional cortical hubness, supporting the nodal stress hypothesis, and was constrained by anatomical and functional connections, consistent with transneuronal degeneration. Lesional disconnection and transcriptomic vulnerability played marginal roles. Patient- and subgroup-level analyses revealed that network-based mechanisms are specifically linked to MS-related neurodegeneration and may operate differently in distinct subtypes or disease phases. Atrophy patterns were anchored to the connectivity profiles of disease epicenters involving the visual, sensorimotor, and temporal cortices, as well as the hippocampi, amygdalae, and thalami. Network-based measures enhanced the explanation of future atrophy progression in people with MS, providing a mechanistic framework to understand neurodegeneration in MS.
Source: Science Advances
Authors: Mar Barrantes-Cepas, Mario Tranfa, David R. van Nederpelt, Ismail Koubiyr, Luigi Lorenzini, Birgit Helmlinger, Stefan Ropele, Daniela Pinter, Christian Enzinger, Tomas Uher, Manuela Vaneckova, Joep Killestein, Eva M. M. Strijbis, Martijn D. Steenwijk, Hugo Vrenken, Frederik Barkhof, Menno M. Schoonheim, Giuseppe Pontillo
Institutions: Amsterdam Neuroscience, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, University of Naples Federico II, Vrije Universiteit Amsterdam, University of Genoa, Medical University of Graz, Charles University, General University Hospital in Prague, UCL Queen Square Institute of Neurology, University College London
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,500
Funder: ZonMw
Award: G871000039
OpenAlex ID: W7129100046
