Literature DB >> 24973825

Forward propulsion asymmetry is indicative of changes in plantarflexor coordination during walking in individuals with post-stroke hemiparesis.

Jessica L Allen1, Steven A Kautz2, Richard R Neptune3.   

Abstract

BACKGROUND: A common measure of rehabilitation effectiveness post-stroke is self-selected walking speed, yet individuals may achieve the same speed using different coordination strategies. Asymmetry in the propulsion generated by each leg can provide insight into paretic leg coordination due to its relatively strong correlation with hemiparetic severity. Subjects walking at the same speed can exhibit different propulsion asymmetries, with some subjects relying more on the paretic leg and others on the nonparetic leg. The goal of this study was to assess whether analyzing propulsion asymmetry can help distinguish between improved paretic leg coordination versus nonparetic leg compensation.
METHODS: Three-dimensional forward dynamics simulations were developed for two post-stroke hemiparetic subjects walking at identical speeds before/after rehabilitation with opposite changes in propulsion asymmetry. Changes in the individual muscle contributions to forward propulsion were examined.
FINDINGS: The major source of increased forward propulsion in both subjects was from the ankle plantarflexors. How they were utilized differed and appears related to changes in propulsion asymmetry. Subject A increased propulsion generated from the paretic plantarflexors, while Subject B increased propulsion generated from the nonparetic plantarflexors. Each subject's strategy to increase speed also included differences in other muscle groups (e.g., hamstrings) that did not appear to be related to propulsion asymmetry.
INTERPRETATION: The results of this study highlight how speed cannot be used to elucidate underlying muscle coordination changes following rehabilitation. In contrast, propulsion asymmetry appears to provide insight into changes in plantarflexor output affecting propulsion generation and may be useful in monitoring rehabilitation outcomes.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Forward dynamic simulations; Gait; Post-stroke hemiparesis; Rehabilitation

Mesh:

Year:  2014        PMID: 24973825      PMCID: PMC4157942          DOI: 10.1016/j.clinbiomech.2014.06.001

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  38 in total

1.  Abnormalities in the temporal patterning of lower extremity muscle activity in hemiparetic gait.

Authors:  A R Den Otter; A C H Geurts; Th Mulder; J Duysens
Journal:  Gait Posture       Date:  2006-06-05       Impact factor: 2.840

2.  Multivariate examination of data from gait analysis of persons with stroke.

Authors:  S J Olney; M P Griffin; I D McBride
Journal:  Phys Ther       Date:  1998-08

3.  Treadmill training with partial body weight support compared with physiotherapy in nonambulatory hemiparetic patients.

Authors:  S Hesse; C Bertelt; M T Jahnke; A Schaffrin; P Baake; M Malezic; K H Mauritz
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

4.  Pre-swing deficits in forward propulsion, swing initiation and power generation by individual muscles during hemiparetic walking.

Authors:  Carrie L Peterson; Allison L Hall; Steven A Kautz; Richard R Neptune
Journal:  J Biomech       Date:  2010-05-13       Impact factor: 2.712

5.  Different types of disturbed motor control in gait of hemiparetic patients.

Authors:  E Knutsson; C Richards
Journal:  Brain       Date:  1979-06       Impact factor: 13.501

6.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

7.  Coordination of the non-paretic leg during hemiparetic gait: expected and novel compensatory patterns.

Authors:  Bhavana Raja; Richard R Neptune; Steven A Kautz
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-09-13       Impact factor: 2.063

8.  Improvements in speed-based gait classifications are meaningful.

Authors:  Arlene Schmid; Pamela W Duncan; Stephanie Studenski; Sue Min Lai; Lorie Richards; Subashan Perera; Samuel S Wu
Journal:  Stroke       Date:  2007-05-17       Impact factor: 7.914

9.  Temporal, kinematic, and kinetic variables related to gait speed in subjects with hemiplegia: a regression approach.

Authors:  S J Olney; M P Griffin; I D McBride
Journal:  Phys Ther       Date:  1994-09

10.  Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson
Journal:  BMC Neurol       Date:  2007-11-08       Impact factor: 2.474

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  17 in total

Review 1.  Paretic propulsion as a measure of walking performance and functional motor recovery post-stroke: A review.

Authors:  Sarah A Roelker; Mark G Bowden; Steven A Kautz; Richard R Neptune
Journal:  Gait Posture       Date:  2018-10-25       Impact factor: 2.840

2.  Contribution of Paretic and Nonparetic Limb Peak Propulsive Forces to Changes in Walking Speed in Individuals Poststroke.

Authors:  HaoYuan Hsiao; Louis N Awad; Jacqueline A Palmer; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Neurorehabil Neural Repair       Date:  2015-12-31       Impact factor: 3.919

3.  Symmetry of corticomotor input to plantarflexors influences the propulsive strategy used to increase walking speed post-stroke.

Authors:  Jacqueline A Palmer; HaoYuan Hsiao; Louis N Awad; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2015-12-12       Impact factor: 3.708

4.  Muscle contributions to pre-swing biomechanical tasks influence swing leg mechanics in individuals post-stroke during walking.

Authors:  Lydia G Brough; Steven A Kautz; Richard R Neptune
Journal:  J Neuroeng Rehabil       Date:  2022-06-03       Impact factor: 5.208

5.  Dynamic balance during walking adaptability tasks in individuals post-stroke.

Authors:  Arian Vistamehr; Chitralakshmi K Balasubramanian; David J Clark; Richard R Neptune; Emily J Fox
Journal:  J Biomech       Date:  2018-04-24       Impact factor: 2.712

6.  Mechanisms used to increase peak propulsive force following 12-weeks of gait training in individuals poststroke.

Authors:  HaoYuan Hsiao; Brian A Knarr; Ryan T Pohlig; Jill S Higginson; Stuart A Binder-Macleod
Journal:  J Biomech       Date:  2015-12-31       Impact factor: 2.712

7.  Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study.

Authors:  Chris S Versteeg; Lena H Ting; Jessica L Allen
Journal:  J Biomech       Date:  2016-08-08       Impact factor: 2.712

8.  Maintaining sagittal plane balance compromises frontal plane balance during reactive stepping in people post-stroke.

Authors:  Tom J W Buurke; Chang Liu; Sungwoo Park; Rob den Otter; James M Finley
Journal:  Clin Biomech (Bristol, Avon)       Date:  2020-07-29       Impact factor: 2.063

9.  Reduced joint motion supersedes asymmetry in explaining increased metabolic demand during walking with mechanical restriction.

Authors:  Emily M McCain; Matthew E Berno; Theresa L Libera; Michael D Lewek; Gregory S Sawicki; Katherine R Saul
Journal:  J Biomech       Date:  2021-07-09       Impact factor: 2.789

10.  Using Biofeedback to Reduce Step Length Asymmetry Impairs Dynamic Balance in People Poststroke.

Authors:  Sungwoo Park; Chang Liu; Natalia Sánchez; Julie K Tilson; Sara J Mulroy; James M Finley
Journal:  Neurorehabil Neural Repair       Date:  2021-06-01       Impact factor: 3.919

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