Feasibility and efficacy of peak-velocity interval training vs. moderate-intensity walking training in people with multiple sclerosis with severe fatigue and walking impairment: A pilot randomized controlled trial

Authors

Institutions

Publication Details

Journal
Multiple Sclerosis and Related Disorders
Published
2025-12-12
DOI
https://doi.org/10.1016/j.msard.2025.106930
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Feasibility and efficacy of peak-velocity interval training vs. moderate-intensity walking training in people with multiple sclerosis with severe fatigue and walking impairment: A pilot randomized controlled trial

Brice T. Cleland, Brenda Jeng, Sangeetha Madhavan, Robert W. Motl et al.
Multiple Sclerosis and Related Disorders
Multiple Sclerosis Research Studies
article

Feasibility and efficacy of peak-velocity interval training vs. moderate-intensity walking training in people with multiple sclerosis with severe fatigue and walking impairment: A pilot randomized controlled trial

Brice T. Cleland, Brenda Jeng, Sangeetha Madhavan, Robert W. Motl, Nicholas A. T. Brown
article en

Abstract

No abstract available for this paper.
Multiple Sclerosis and Related DisordersVol. 106
University of Illinois Urbana-Champaign (US), Illinois College (US), University of Illinois Chicago (US)
National Institutes of Health, University of Illinois at Urbana-Champaign, University of Illinois at Chicago
Openalex Percentile: Top 44%
Multiple Sclerosis Research Studies
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.