Evidence map›Paper›PMID 41479177›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2026

Quantifying observable movement reserve in multiple sclerosis via upper diurnal activity quantiles.

Pratim Guha Niyogi, Muraleetharan Sanjayan, Rahul Ghosal, Jeff Goldsmith, Kathryn C Fitzgerald, Ellen M Mowry, Vadim Zipunnikov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Pratim Guha NiyogiDepartment of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.ORCID 0000-0003-2439-9047
Muraleetharan SanjayanDivision of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID 0009-0006-6465-0063
Rahul GhosalDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Jeff GoldsmithDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Kathryn C FitzgeraldDivision of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-3137-0322
Ellen M MowryDivision of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Home-based actigraphy to predict disability progression and enhance clinical trials in multiple sclerosisR01NR018851 · NINR · JOHNS HOPKINS UNIVERSITY · PI Ellen M. Mowry · 2020 to 2026
$4.2M
NINR NIH HHS R01 NR018851
6 · The paper itself

Abstract

backgroundThe ability to sustain high-effort motor activity throughout the day may serve as a marker of functional capacity in individuals with multiple sclerosis (MS). We refer to this ability as observable movement reserve. Conventional assessments, including the Expanded Disability Status Scale (EDSS), often miss subtle functional changes. While accelerometry captures 24-hour motor activity, it typically overlooks peak activity and its diurnal variability.

objectiveTo evaluate whether upper diurnal activity quantiles from accelerometry capture observable movement reserve and are associated with disability in MS.

methodsIn 248 adults with MS (mean age 54.8, 71% female, EDSS 0-6.5), wrist-worn accelerometry was recorded over 2 weeks. Scalar-on-function regression examined associations between EDSS and diurnal activity curves: mean, variability, and 50th-100th percentiles, adjusting for age, sex, body mass index (BMI), cognition, and fatigue. Cross-validated

resultsUpper quantiles (95th-100th) were most strongly associated with EDSS. Late afternoon and evening activity contributed most to predictive power.

conclusionDiurnal peak activity is a sensitive, time-specific marker of observable movement reserve that correlates with EDSS. Capturing timing and intensity, this metric may improve detection of functional decline and support more precise disability tracking in MS.

Indexed as

AccelerometryCircadian RhythmMotor ActivityMultiple SclerosisAdultAgedDisability EvaluationFemaleHumansMaleMiddle AgedSeverity of Illness IndexDisabilitydiurnal activity curvesEDSSfatiguequantilesscalar-on-function regression

Identifiers

PMID41479177
PMCPMC12768448

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.