Literature DB >> 30089023

A locomotor learning paradigm using distorted visual feedback elicits strategic learning.

Margaret A French1,2, Susanne M Morton1,2, Charalambos C Charalambous1,3, Darcy S Reisman1,2.   

Abstract

Distorted visual feedback (DVF) during locomotion has been suggested to result in the development of a new walking pattern in healthy individuals through implicit learning processes. Recent work in upper extremity visuomotor rotation paradigms suggest that these paradigms involve implicit and explicit learning. Additionally, in upper extremity visuomotor paradigms, the verbal cues provided appear to impact how a behavior is learned and when this learned behavior is used. Here, in two experiments in neurologically intact individuals, we tested how verbal instruction impacts learning a new locomotor pattern on a treadmill through DVF, the transfer of that pattern to overground walking, and what types of learning occur (i.e., implicit vs. explicit learning). In experiment 1, we found that the instructions provided impacted the amount learned through DVF, but not the size of the aftereffects or the amount of the pattern transferred to overground walking. Additionally, the aftereffects observed were significantly different from the baseline walking pattern, but smaller than the behavior changes observed during learning, which is uncharacteristic of implicit sensorimotor adaptation. Thus, experiment 2 aimed to determine the cause of these discrepancies. In this experiment, when VF was not provided, individuals continued using the learned walking pattern when instructed to do so and returned toward their baseline pattern when instructed to do so. Based on these results, we conclude that DVF during locomotion results in a large portion of explicit learning and a small portion of implicit learning. NEW & NOTEWORTHY The results of this study suggest that distorted visual feedback during locomotor learning involves the development of an explicit strategy with only a small component of implicit learning. This is important because previous studies using distorted visual feedback have suggested that locomotor learning relies primarily on implicit learning. This paradigm, therefore, provides a new way to examine a different form of learning in locomotion.

Entities:  

Keywords:  explicit learning; locomotion; motor learning; strategic learning

Mesh:

Year:  2018        PMID: 30089023      PMCID: PMC6230784          DOI: 10.1152/jn.00252.2018

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


  27 in total

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Authors:  Gelsy Torres-Oviedo; Amy J Bastian
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2.  An implicit plan overrides an explicit strategy during visuomotor adaptation.

Authors:  Pietro Mazzoni; John W Krakauer
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3.  Characteristics of Implicit Sensorimotor Adaptation Revealed by Task-irrelevant Clamped Feedback.

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4.  A spatial explicit strategy reduces error but interferes with sensorimotor adaptation.

Authors:  Bryan L Benson; Joaquin A Anguera; Rachael D Seidler
Journal:  J Neurophysiol       Date:  2011-03-30       Impact factor: 2.714

5.  How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching.

Authors:  Timothy Verstynen; Philip N Sabes
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6.  Model-based and model-free mechanisms of human motor learning.

Authors:  Adrian M Haith; John W Krakauer
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

7.  Use-dependent and error-based learning of motor behaviors.

Authors:  Jörn Diedrichsen; Olivier White; Darren Newman; Níall Lally
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8.  Cognitive attribution of the source of an error in object-lifting results in differences in motor generalization.

Authors:  Kelene Fercho; Lee A Baugh
Journal:  Exp Brain Res       Date:  2016-05-05       Impact factor: 1.972

Review 9.  Neurophysiologic and rehabilitation insights from the split-belt and other locomotor adaptation paradigms.

Authors:  Darcy S Reisman; Amy J Bastian; Susanne M Morton
Journal:  Phys Ther       Date:  2009-12-18

Review 10.  The role of strategies in motor learning.

Authors:  Jordan A Taylor; Richard B Ivry
Journal:  Ann N Y Acad Sci       Date:  2012-02-13       Impact factor: 5.691

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  12 in total

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Authors:  Dulce M Mariscal; Pablo A Iturralde; Gelsy Torres-Oviedo
Journal:  J Neurophysiol       Date:  2020-04-01       Impact factor: 2.714

Review 2.  A tale of too many tasks: task fragmentation in motor learning and a call for model task paradigms.

Authors:  Rajiv Ranganathan; Aimee D Tomlinson; Rakshith Lokesh; Tzu-Hsiang Lin; Priya Patel
Journal:  Exp Brain Res       Date:  2020-11-10       Impact factor: 1.972

3.  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

4.  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

5.  Effect of repeated explicit instructions on visuomotor adaptation and intermanual transfer.

Authors:  Susen Werner; Heiko K Strüder
Journal:  Exp Brain Res       Date:  2022-09-27       Impact factor: 2.064

6.  A single high-intensity exercise bout during early consolidation does not influence retention or relearning of sensorimotor locomotor long-term memories.

Authors:  Charalambos C Charalambous; Margaret A French; Susanne M Morton; Darcy S Reisman
Journal:  Exp Brain Res       Date:  2019-08-23       Impact factor: 1.972

7.  Fluid Cognitive Abilities Are Important for Learning and Retention of a New, Explicitly Learned Walking Pattern in Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2021-03-23       Impact factor: 3.919

8.  Fluid Cognition Relates to Locomotor Switching in Neurotypical Adults, Not Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  J Neurol Phys Ther       Date:  2022-01-01       Impact factor: 3.649

9.  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

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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