Comparison of gait parameters and chronic lower body pain in people with multiple sclerosis

This study revealed alterations in gait among pwMS with CPLB compared to those without pain. These findings can be leveraged in future studies to develop targeted rehabilitation strategies that focus on chronic pain in the lower body and gait.

Authors

Institutions

Publication Details

Journal
Multiple Sclerosis and Related Disorders
Published
2025-05-23
DOI
https://doi.org/10.1016/j.msard.2025.106526
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of gait parameters and chronic lower body pain in people with multiple sclerosis

Jacob J. Sosnoff, Tobia Zanotto, Abbas Tabatabaei, Libak Abou et al.
1 links
Multiple Sclerosis and Related Disorders
Fibromyalgia and Chronic Fatigue Syndrome Research
article

Comparison of gait parameters and chronic lower body pain in people with multiple sclerosis

Jacob J. Sosnoff, Tobia Zanotto, Abbas Tabatabaei, Libak Abou, Sharon Lynch
article en

Abstract

This study revealed alterations in gait among pwMS with CPLB compared to those without pain. These findings can be leveraged in future studies to develop targeted rehabilitation strategies that focus on chronic pain in the lower body and gait.

Multiple Sclerosis and Related DisordersVol. 100
University of Michigan (US), Michigan Medicine (US), University of Kansas Medical Center (US)
Openalex Percentile: Top 86%
Fibromyalgia and Chronic Fatigue Syndrome Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.