The role of network connectivity and transcriptomic vulnerability in shaping gray matter atrophy in multiple sclerosis

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.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2026-11-11
DOI
https://doi.org/10.1126/sciadv.aeg3412
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The role of network connectivity and transcriptomic vulnerability in shaping gray matter atrophy in multiple sclerosis

Daniela Pinter, Birgit Helmlinger, Luigi Lorenzini, Eva M. M. Strijbis et al.
Science Advances
Multiple Sclerosis Research Studies
article

The role of network connectivity and transcriptomic vulnerability in shaping gray matter atrophy in multiple sclerosis

Daniela Pinter, Birgit Helmlinger, Luigi Lorenzini, Eva M. M. Strijbis, Christian Enzinger, Mario Tranfa, Tomáš Uher, Giuseppe Pontillo, Ismail Koubiyr, Frederik Barkhof, Stefan Ropele, Hugo Vrenken, Martijn D. Steenwijk, Menno Michiel Schoonheim, Joep Killestein, David Rudolf van Nederpelt, Mar Barrantes-Cepas, Manuela Vaněčková
article en

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.

Science AdvancesVol. 12(46)
Medical University of Graz (AT), Charles University (CZ), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), General University Hospital in Prague (CZ), UCL Queen Square Institute of Neurology (GB), University College London (GB), University of Naples Federico II (IT), University of Genoa (IT), Vrije Universiteit Amsterdam (NL), Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
ZonMw
Good health and well-being
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon