Accelerated brain ageing and disability in multiple sclerosis
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CC-BY-NC-ND-4.0
Abstract
Summary Background Brain atrophy occurs in both normal ageing and in multiple sclerosis (MS), but it occurs at a faster rate in MS, where it is the major driver of disability progression. Here, we employed a neuroimaging biomarker of structural brain ageing to explore how MS influences the brain ageing process. Methods In a longitudinal, multi-centre sample of 3,565 MRI scans in 1,204 MS/clinically isolated syndrome (CIS) patients and 150 healthy controls (HCs) (mean follow-up time: patients 3β
41 years, HCs 1β
97 years) we measured βbrain-predicted ageβ using T1-weighted MRI. Brain-predicted age difference (brain-PAD) was calculated as the difference between the brain-predicted age and chronological age. Positive brain-PAD indicates a brain appears older than its chronological age. We compared brain-PAD between MS/CIS patients and HCs, and between disease subtypes. In patients, the relationship between brain-PAD and Expanded Disability Status Scale (EDSS) at study entry and over time was explored. Findings Adjusted for age, sex, intracranial volume, cohort and scanner effects MS/CIS patients had markedly older-appearing brains than HCs (mean brain-PAD 11β
8 years [95% CI 9β
1β14β
5] versus β0β
01 [β3β
0β3β
0], p<0β
0001). All MS subtypes had greater brain-PAD scores than HCs, with the oldest-appearing brains in secondary-progressive MS (mean brain-PAD 18β
0 years [15β
4β20β
5], p<0β
05). At baseline, higher brain-PAD was associated with a higher EDSS, longer time since diagnosis and a younger age at diagnosis. Brain-PAD at study entry significantly predicted time-to-EDSS progression (hazard ratio 1β
02 [1β
01β1β
03], p<0β
0001): for every 5 years of additional brain-PAD, the risk of progression increased by 14β
2%. Interpretation MS increases brain ageing across all MS subtypes. An older-appearing brain at baseline was associated with more rapid disability progression, suggesting βbrain-ageβ could be an individualised prognostic biomarker from a single, cross-sectional assessment. Funding UK MS Society; National Institute for Health Research University College London Hospitals Biomedical Research Centre.
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- last seen: 2026-05-19T01:45:01.086888+00:00
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License: CC-BY-NC-ND-4.0