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Accelerometry-derived activity fragmentation as a predictor of brain atrophy and disability progression in multiple
Medrxiv : the Preprint Server for Health Sciences
|September 15, 2025
Summary
Increased activity fragmentation in multiple sclerosis (MS) patients predicts greater disability and brain atrophy. This fragmentation may signal early neurological decline and serve as a key indicator of MS progression.
Area of Science:
- Neurology
- Biomedical Engineering
- Rehabilitation Science
Background:
- Activity fragmentation, a measure of interrupted physical activity, is linked to adverse health outcomes in the general population.
- Its prognostic value in multiple sclerosis (MS) is currently unknown.
Purpose of the Study:
- To investigate the association between activity fragmentation and neurological decline in people with MS (PwMS).
- To determine if activity fragmentation predicts disability progression and brain atrophy in MS.
Main Methods:
- PwMS (n=239) used wrist accelerometers over time and underwent regular disability and MRI assessments.
- Active-to-sedentary transition probability (ASTP) and sedentary-to-active transition probability (SATP) were calculated during the 10 most active hours (M10).
- Statistical models assessed within-person and between-person effects on disability progression and brain substructure atrophy.
Main Results:
- A within-person increase in ASTP slope (greater activity fragmentation) correlated with a higher risk of confirmed Expanded Disability Status Scale (EDSS)-plus progression (HR 1.22).
- Increased activity fragmentation was also associated with reduced deep gray matter and thalamic volumes over time.
- No significant associations were found for SATP with these outcomes.
Conclusions:
- Worsening activity fragmentation predicts increased risk of neurological decline in MS.
- Activity fragmentation may indicate reduced physiological reserve and serve as an early marker for MS progression.
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