Evidence map›Paper›PMID 39969606›Full record

ArticleJournal of neurology2025

Associations between connectivity in functional brain networks and gait speed in older adults with and without multiple sclerosis.

Siddharth Nayak, Mark E Wagshul, Frederick W Foley, Robert W Motl, Roee Holtzer

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Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Siddharth NayakDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0000-0002-5822-1119
Mark E WagshulDepartment of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Frederick W FoleyMultiple Sclerosis Center, Holy Name Medical Center, Teaneck, NJ, USA.
Robert W MotlDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois, Chicago, IL, USA.
Roee HoltzerDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA. roee.holtzer@yu.edu.

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 R01NS109023
6 · The paper itself

Abstract

objectiveTo assess whether resting-state functional connectivity (RSFC) brain networks are associated with gait speed in a sample of older adults with and without multiple sclerosis (MS).

methodsOlder adults with MS (OAMS: n = 82, mean age = 64.4 ± 4.1 years) and controls (n = 85, mean age = 68.6 ± 7.1 years) underwent brain MRI, cognitive assessment, and motor testing. RSFC brain networks were computed from resting-state functional scans based on a data-driven approach. The timed-25-foot-walk test (T25FW), an established measure of disability in aging and clinical populations, served as the outcome measure.

resultsAnalyses adjusted for confounders revealed that faster gait speed was significantly associated with higher RSFC in left fronto-parietal (p = 0.002) network in the full cohort. Among OAMS, significant associations between faster gait speed and higher RSFC were found in left fronto-parietal (p = 0.002), cerebellar (p = 0.023), and language (p = 0.046) networks. In contrast, among control participants, there were no significant associations between RSFC and gait speed.

conclusionIn aging, greater functional brain support of walking speed, operationalized using RSFC in empirically derived networks, is required in MS compared to healthy control participants.

Indexed as

BrainMultiple SclerosisNerve NetWalking SpeedAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedCerebellarFronto-parietalFunctional connectivityMultiple sclerosisT25FW

Identifiers

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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.