Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke

Abstract Background Biomechanical gait impairments, such as reduced paretic propulsion, are common post-stroke. Studies have used biofeedback to increase paretic propulsion and reduce propulsion asymmetry, but it is unclear if these changes impact overall gait asymmetry. There is an implicit assumpt...

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Main Authors: Sarah A. Kettlety, James M. Finley, Kristan A. Leech
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of NeuroEngineering and Rehabilitation
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Online Access:https://doi.org/10.1186/s12984-025-01553-8
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author Sarah A. Kettlety
James M. Finley
Kristan A. Leech
author_facet Sarah A. Kettlety
James M. Finley
Kristan A. Leech
author_sort Sarah A. Kettlety
collection DOAJ
description Abstract Background Biomechanical gait impairments, such as reduced paretic propulsion, are common post-stroke. Studies have used biofeedback to increase paretic propulsion and reduce propulsion asymmetry, but it is unclear if these changes impact overall gait asymmetry. There is an implicit assumption that reducing propulsion asymmetry will improve overall gait symmetry, as paretic propulsion has been related to numerous biomechanical impairments. However, no work has investigated the impact of reducing propulsion asymmetry on overall gait asymmetry. We aimed to understand how within-session changes in propulsion asymmetry affect overall gait asymmetry in individuals post-stroke, operationalized as the combined gait asymmetry metric (CGAM). We hypothesized that decreasing propulsion asymmetry would reduce CGAM. Methods. Participants completed twenty minutes of biofeedback training designed to increase paretic propulsion. We calculated the change in propulsion asymmetry magnitude (Δ|PA|) and the change in CGAM (ΔCGAM) during biofeedback relative to baseline. Then, we fit a robust linear mixed-effects model with ΔCGAM as the outcome and a fixed effect for Δ|PA|. Results. We found a positive association between Δ|PA| and ΔCGAM (β = 2.6, p = 0.002). The average Δ|PA| was -0.09, suggesting that, on average, we would expect a CGAM change of 0.2, which is 0.5% of the average baseline CGAM value. Conclusions. Reducing propulsive asymmetry using biofeedback is unlikely to produce substantial reductions in overall gait asymmetry, suggesting that biofeedback-based approaches to reduce propulsion asymmetry may need to be combined with other interventions to improve overall gait asymmetry. Clinical Trial Registration. NCT04411303.
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spelling doaj-art-08288349368542a99af22ee02f198c8c2025-01-26T12:18:38ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032025-01-0122111010.1186/s12984-025-01553-8Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-strokeSarah A. Kettlety0James M. Finley1Kristan A. Leech2Division of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaAbstract Background Biomechanical gait impairments, such as reduced paretic propulsion, are common post-stroke. Studies have used biofeedback to increase paretic propulsion and reduce propulsion asymmetry, but it is unclear if these changes impact overall gait asymmetry. There is an implicit assumption that reducing propulsion asymmetry will improve overall gait symmetry, as paretic propulsion has been related to numerous biomechanical impairments. However, no work has investigated the impact of reducing propulsion asymmetry on overall gait asymmetry. We aimed to understand how within-session changes in propulsion asymmetry affect overall gait asymmetry in individuals post-stroke, operationalized as the combined gait asymmetry metric (CGAM). We hypothesized that decreasing propulsion asymmetry would reduce CGAM. Methods. Participants completed twenty minutes of biofeedback training designed to increase paretic propulsion. We calculated the change in propulsion asymmetry magnitude (Δ|PA|) and the change in CGAM (ΔCGAM) during biofeedback relative to baseline. Then, we fit a robust linear mixed-effects model with ΔCGAM as the outcome and a fixed effect for Δ|PA|. Results. We found a positive association between Δ|PA| and ΔCGAM (β = 2.6, p = 0.002). The average Δ|PA| was -0.09, suggesting that, on average, we would expect a CGAM change of 0.2, which is 0.5% of the average baseline CGAM value. Conclusions. Reducing propulsive asymmetry using biofeedback is unlikely to produce substantial reductions in overall gait asymmetry, suggesting that biofeedback-based approaches to reduce propulsion asymmetry may need to be combined with other interventions to improve overall gait asymmetry. Clinical Trial Registration. NCT04411303.https://doi.org/10.1186/s12984-025-01553-8StrokePropulsionAsymmetryWalkingCombined gait asymmetry metric
spellingShingle Sarah A. Kettlety
James M. Finley
Kristan A. Leech
Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
Journal of NeuroEngineering and Rehabilitation
Stroke
Propulsion
Asymmetry
Walking
Combined gait asymmetry metric
title Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
title_full Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
title_fullStr Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
title_full_unstemmed Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
title_short Within-session propulsion asymmetry changes have a limited effect on gait asymmetry post-stroke
title_sort within session propulsion asymmetry changes have a limited effect on gait asymmetry post stroke
topic Stroke
Propulsion
Asymmetry
Walking
Combined gait asymmetry metric
url https://doi.org/10.1186/s12984-025-01553-8
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