Literature DB >> 26961100

A dual-learning paradigm can simultaneously train multiple characteristics of walking.

Matthew A Statton1, Alexis Toliver2, Amy J Bastian3.   

Abstract

Impairments in human motor patterns are complex: what is often observed as a single global deficit (e.g., limping when walking) is actually the sum of several distinct abnormalities. Motor adaptation can be useful to teach patients more normal motor patterns, yet conventional training paradigms focus on individual features of a movement, leaving others unaddressed. It is known that under certain conditions, distinct movement components can be simultaneously adapted without interference. These previous "dual-learning" studies focused solely on short, planar reaching movements, yet it is unknown whether these findings can generalize to a more complex behavior like walking. Here we asked whether a dual-learning paradigm, incorporating two distinct motor adaptation tasks, can be used to simultaneously train multiple components of the walking pattern. We developed a joint-angle learning task that provided biased visual feedback of sagittal joint angles to increase peak knee or hip flexion during the swing phase of walking. Healthy, young participants performed this task independently or concurrently with another locomotor adaptation task, split-belt treadmill adaptation, where subjects adapted their step length symmetry. We found that participants were able to successfully adapt both components of the walking pattern simultaneously, without interference, and at the same rate as adapting either component independently. This leads us to the interesting possibility that combining rehabilitation modalities within a single training session could be used to help alleviate multiple deficits at once in patients with complex gait impairments.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  adaptation; dual task; interference; locomotion; motor learning

Mesh:

Year:  2016        PMID: 26961100      PMCID: PMC4922483          DOI: 10.1152/jn.00090.2016

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  38 in total

1.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

2.  Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study.

Authors:  Christine Tong; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

Review 3.  Cerebellar control of balance and locomotion.

Authors:  Susanne M Morton; Amy J Bastian
Journal:  Neuroscientist       Date:  2004-06       Impact factor: 7.519

4.  Restoring unassisted natural gait to paraplegics via functional neuromuscular stimulation: a computer simulation study.

Authors:  G T Yamaguchi; F E Zajac
Journal:  IEEE Trans Biomed Eng       Date:  1990-09       Impact factor: 4.538

5.  An implicit plan overrides an explicit strategy during visuomotor adaptation.

Authors:  Pietro Mazzoni; John W Krakauer
Journal:  J Neurosci       Date:  2006-04-05       Impact factor: 6.167

6.  Cerebellar contributions to locomotor adaptations during splitbelt treadmill walking.

Authors:  Susanne M Morton; Amy J Bastian
Journal:  J Neurosci       Date:  2006-09-06       Impact factor: 6.167

7.  Torque action of two-joint muscles in the swing period of stiff-legged gait: a forward dynamic model analysis.

Authors:  P O Riley; D C Kerrigan
Journal:  J Biomech       Date:  1998-09       Impact factor: 2.712

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Authors:  R L Waters; D E Garland; J Perry; T Habig; P Slabaugh
Journal:  J Bone Joint Surg Am       Date:  1979-09       Impact factor: 5.284

9.  Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke.

Authors:  Darcy S Reisman; Robert Wityk; Kenneth Silver; Amy J Bastian
Journal:  Brain       Date:  2007-04-02       Impact factor: 13.501

10.  Knee joint dysfunctions that influence gait in cerebrovascular injury.

Authors:  Paulo Roberto Garcia Lucareli; Julia Maria D'Andrea Greve
Journal:  Clinics (Sao Paulo)       Date:  2008-08       Impact factor: 2.365

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  11 in total

1.  Use-dependent plasticity explains aftereffects in visually guided locomotor learning of a novel step length asymmetry.

Authors:  Jonathan M Wood; Hyosub E Kim; Margaret A French; Darcy S Reisman; Susanne M Morton
Journal:  J Neurophysiol       Date:  2020-05-20       Impact factor: 2.714

2.  Visuomotor errors drive step length and step time adaptation during 'virtual' split-belt walking: the effects of reinforcement feedback.

Authors:  Sumire Sato; Ashley Cui; Julia T Choi
Journal:  Exp Brain Res       Date:  2021-11-23       Impact factor: 1.972

3.  Seeing the Errors You Feel Enhances Locomotor Performance but Not Learning.

Authors:  Ryan T Roemmich; Andrew W Long; Amy J Bastian
Journal:  Curr Biol       Date:  2016-09-22       Impact factor: 10.834

4.  A Dual-Learning Paradigm Simultaneously Improves Multiple Features of Gait Post-Stroke.

Authors:  Kendra M Cherry-Allen; Matthew A Statton; Pablo A Celnik; Amy J Bastian
Journal:  Neurorehabil Neural Repair       Date:  2018-08-07       Impact factor: 3.919

5.  Velocity-dependent transfer of adaptation in human running as revealed by split-belt treadmill adaptation.

Authors:  Tetsuya Ogawa; Hiroki Obata; Hikaru Yokoyama; Noritaka Kawashima; Kimitaka Nakazawa
Journal:  Exp Brain Res       Date:  2018-02-06       Impact factor: 1.972

6.  Explicit Control of Step Timing During Split-Belt Walking Reveals Interdependent Recalibration of Movements in Space and Time.

Authors:  Marcela Gonzalez-Rubio; Nicolas F Velasquez; Gelsy Torres-Oviedo
Journal:  Front Hum Neurosci       Date:  2019-07-03       Impact factor: 3.169

7.  Providing low-dimensional feedback of a high-dimensional movement allows for improved performance of a skilled walking task.

Authors:  Kevin A Day; Amy J Bastian
Journal:  Sci Rep       Date:  2019-12-24       Impact factor: 4.996

8.  Use of explicit processes during a visually guided locomotor learning task predicts 24-h retention after stroke.

Authors:  Margaret A French; Susanne M Morton; Darcy S Reisman
Journal:  J Neurophysiol       Date:  2020-11-11       Impact factor: 2.714

9.  Multi-Trial Gait Adaptation of Healthy Individuals during Visual Kinematic Perturbations.

Authors:  Trieu Phat Luu; Yongtian He; Sho Nakagome; Kevin Nathan; Samuel Brown; Jeffrey Gorges; Jose L Contreras-Vidal
Journal:  Front Hum Neurosci       Date:  2017-06-20       Impact factor: 3.169

10.  Unilateral step training can drive faster learning of novel gait patterns.

Authors:  Christine N Song; Jan Stenum; Kristan A Leech; Chloe K Keller; Ryan T Roemmich
Journal:  Sci Rep       Date:  2020-10-29       Impact factor: 4.379

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