Evidence map›Paper›PMID 41006938›Full record

ArticleJournal of neurology2025

Grey matter atrophy patterns of mobility shared across older adults with and without multiple sclerosis.

Mark E Wagshul, Siddharth Nayak, Frederick W Foley, Robert W Motl, Manuel E Hernandez, Meltem Izzetoglu, Roee Holtzer

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mark E WagshulDepartment of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, 10461, USA. mark.wagshul@einsteinmed.edu.ORCID http://orcid.org/0000-0002-2258-6933
Siddharth NayakDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Frederick W FoleyFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.
Robert W MotlDepartment of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA.
Manuel E HernandezDepartment of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Meltem IzzetogluDepartment of Electrical and Computer Engineering, Villanova University, Villanova, PA, USA.
Roee HoltzerDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.

Funding

Brain Predictors of Mobility and Falls in Older Adults with Multiple SclerosisR01NS109023 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI HOLTZER, ROEE · 2019 to 2023
$3.4M
NIH HHS R01 NS109023NINDS NIH HHS R01 NS109023
6 · The paper itself

Abstract

Mobility impairment is common in multiple sclerosis, especially in older adults with multiple sclerosis (OAMS). Grey matter (GM) changes are well documented in MS, and GM atrophy is common in older adults. The relationship between GM changes and mobility disability in OAMS is unknown. We sought to identify GM patterns associated with gait speed in OAMS and healthy older controls, using structural covariance network analysis. OAMS (n = 102; 64.8 ± 4.4 years) and healthy controls (n = 106; 68.2 ± 7.3 years) underwent brain MRI and gait assessments; structural covariance networks were constructed to elucidate brain regions with significant associations between GM volume and 25-foot walk gait speed. We used voxel-wise linear regression analyses to elucidate per-network subregions with significant correlations with gait speed. Voxel-wise moderation analysis tested for group differences in these associations. Across the entire cohort, the following networks demonstrated significant gait speed associations: bilateral hippocampus, bilateral caudate/pallidum/putamen, bilateral thalamus/putamen, right middle temporal gyrus and multiple cerebellar regions. There were no significant group-by-network interaction effects. In summary, structural network analysis reveals unique brain patterns of gait speed in older adults, but these patterns are common amongst healthy older adults and OAMS and highlight the importance of cerebellar and subcortical networks in supporting gait speed.

Indexed as

AgingBrainGray MatterMultiple SclerosisWalking SpeedAgedAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedGait functionGrey matter atrophyOlder adults with multiple sclerosisStructural covariance analysis

Identifiers

PMID41006938
PMCPMC12474737

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.