Literature DB >> 30981426

The influence of locomotor training on dynamic balance during steady-state walking post-stroke.

Arian Vistamehr1, Steven A Kautz2, Mark G Bowden2, Richard R Neptune3.   

Abstract

Slow walking speed and lack of balance control are common impairments post-stroke. While locomotor training often improves walking speed, its influence on dynamic balance is unclear. The goal of this study was to assess the influence of a locomotor training program on dynamic balance in individuals post-stroke during steady-state walking and determine if improvements in walking speed are associated with improved balance control. Kinematic and kinetic data were collected pre- and post-training from seventeen participants who completed a 12-week locomotor training program. Dynamic balance was quantified biomechanically (peak-to-peak range of frontal plane whole-body angular-momentum) and clinically (Berg-Balance-Scale and Dynamic-Gait-Index). To understand the underlying biomechanical mechanisms associated with changes in angular-momentum, foot placement and ground-reaction-forces were quantified. As a group, biomechanical assessments of dynamic balance did not reveal any improvements after locomotor training. However, improved dynamic balance post-training, observed in a sub-group of 10 participants (i.e., Responders), was associated with a narrowed paretic foot placement and higher paretic leg vertical ground-reaction-force impulse during late stance. Dynamic balance was not improved post-training in the remaining seven participants (i.e., Non-responders), who did not alter their foot placement and had an increased reliance on their nonparetic leg during weight-bearing. As a group, increased walking speed was not correlated with improved dynamic balance. However, a higher pre-training walking speed was associated with higher gains in dynamic balance post-training. These findings highlight the importance of the paretic leg weight bearing and mediolateral foot placement in improving frontal plane dynamic balance post-stroke.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Angular momentum; Biomechanics; Gait; Hemiparesis; Plasticity; Rehabilitation

Mesh:

Year:  2019        PMID: 30981426      PMCID: PMC6659734          DOI: 10.1016/j.jbiomech.2019.04.002

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  37 in total

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Review 4.  A review of standing balance recovery from stroke.

Authors:  Alexander C H Geurts; Mirjam de Haart; Ilse J W van Nes; Jaak Duysens
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5.  The effectiveness of body weight-supported gait training and floor walking in patients with chronic stroke.

Authors:  Sinikka H Peurala; Ina M Tarkka; Kauko Pitkänen; Juhani Sivenius
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

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Authors:  Christopher L Vaughan; Mark J O'Malley
Journal:  Gait Posture       Date:  2005-04       Impact factor: 2.840

7.  Stepping before standing: hip muscle function in stepping and standing balance after stroke.

Authors:  S G Kirker; D S Simpson; J R Jenner; A M Wing
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-04       Impact factor: 10.154

8.  Effects of stroke severity and training duration on locomotor recovery after stroke: a pilot study.

Authors:  Prudence Plummer; Andrea L Behrman; Pamela W Duncan; Pam Spigel; Dawn Saracino; Jennifer Martin; Emily Fox; Mary Thigpen; Steve A Kautz
Journal:  Neurorehabil Neural Repair       Date:  2007 Mar-Apr       Impact factor: 3.919

9.  Reliability and validity of the dynamic gait index in persons with chronic stroke.

Authors:  Johanna Jonsdottir; Davide Cattaneo
Journal:  Arch Phys Med Rehabil       Date:  2007-11       Impact factor: 3.966

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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  1 in total

1.  Dynamic Balance during Human Movement: Measurement and Control Mechanisms.

Authors:  Richard Neptune; Arian Vistamehr
Journal:  J Biomech Eng       Date:  2018-12-05       Impact factor: 2.097

  1 in total

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