ArticleNeurology2026
Association of Changes in Activity Patterns With Brain Atrophy and Disability Progression in People With Multiple Sclerosis.
Article in Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Mechanistic Insights into the Role of Artificial Intelligence and Machine Learning in the Diagnosis and Management of Multiple Sclerosis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
BACKGROUND AND
objectivesThe purpose of this study was to evaluate whether accelerometry detects subtle changes in disability in people with multiple sclerosis (PwMS). Specifically, we tested how accelerometry measures change longitudinally in PwMS and assessed how these changes translate to brain atrophy and disability worsening at the individual level.
methodsWe included PwMS aged 40 years or older with approximately annual brain MRI who wore GT9X Actigraph accelerometers every 3 months over 3 years. Accelerometry-derived indices included total and 2-hour specific activity, sedentary time, and circadian rhythm parameters. Confirmed disability worsening was characterized using the composite Expanded Disability Status Scale-plus (EDSS+), and whole-brain segmentation was performed. We modeled within-person and between-person effects using Cox (for EDSS+) and linear mixed-effects (for MRI) multivariable-adjusted models adjusted for age, sex, and body mass index that included only accelerometry measures obtained before EDSS+.
resultsAmong 238 PwMS (mean age 54.8, 29% male), 120 experienced EDSS+-confirmed progression over a mean 2.9 years (SD 1.1 years). Participants wore accelerometers an average of 7.4 times over 67 days. Total activity declined an average of 43,737 activity counts (2.0% decline per year; 95% CI -59,812 to -27,663; DISCUSSION: Within-person reductions in daytime activity patterns precede clinical disability worsening and brain atrophy in PwMS. Although results require confirmation and thresholds of and responsiveness to change need to be established, longitudinal accelerometry may offer sensitive, noninvasive biomarkers of subclinical disease.
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Registered trials
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