Literature DB >> 27646292

Impact of online visual feedback on motor acquisition and retention when learning to reach in a force field.

C S Batcho1, M Gagné2, L J Bouyer1, J S Roy1, C Mercier3.   

Abstract

When subjects learn a novel motor task, several sources of feedback (proprioceptive, visual or auditory) contribute to the performance. Over the past few years, several studies have investigated the role of visual feedback in motor learning, yet evidence remains conflicting. The aim of this study was therefore to investigate the role of online visual feedback (VFb) on the acquisition and retention stages of motor learning associated with training in a reaching task. Thirty healthy subjects made ballistic reaching movements with their dominant arm toward two targets, on 2 consecutive days using a robotized exoskeleton (KINARM). They were randomly assigned to a group with (VFb) or without (NoVFb) VFb of index position during movement. On day 1, the task was performed before (baseline) and during the application of a velocity-dependent resistive force field (adaptation). To assess retention, participants repeated the task with the force field on day 2. Motor learning was characterized by: (1) the final endpoint error (movement accuracy) and (2) the initial angle (iANG) of deviation (motor planning). Even though both groups showed motor adaptation, the NoVFb-group exhibited slower learning and higher final endpoint error than the VFb-group. In some condition, subjects trained without visual feedback used more curved initial trajectories to anticipate for the perturbation. This observation suggests that learning to reach targets in a velocity-dependent resistive force field is possible even when feedback is limited. However, the absence of VFb leads to different strategies that were only apparent when reaching toward the most challenging target.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  force field adaptation; motor learning; reaching; visual feedback

Mesh:

Year:  2016        PMID: 27646292     DOI: 10.1016/j.neuroscience.2016.09.020

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  5 in total

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Authors:  Akis Stavropoulos; Kaushik J Lakshminarasimhan; Jean Laurens; Xaq Pitkow; Dora E Angelaki
Journal:  Elife       Date:  2022-02-18       Impact factor: 8.713

2.  Influence of visual feedback persistence on visuo-motor skill improvement.

Authors:  Alyssa Unell; Zachary M Eisenstat; Ainsley Braun; Abhinav Gandhi; Sharon Gilad-Gutnick; Shlomit Ben-Ami; Pawan Sinha
Journal:  Sci Rep       Date:  2021-08-30       Impact factor: 4.379

3.  Impact of fatigue at the shoulder on the contralateral upper limb kinematics and performance.

Authors:  Frédérique Dupuis; Gisela Sole; Catherine Mercier; Jean-Sébastien Roy
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

4.  Proprioceptive loss and the perception, control and learning of arm movements in humans: evidence from sensory neuronopathy.

Authors:  R Chris Miall; Nick M Kitchen; Se-Ho Nam; Hannah Lefumat; Alix G Renault; Kristin Ørstavik; Jonathan D Cole; Fabrice R Sarlegna
Journal:  Exp Brain Res       Date:  2018-05-19       Impact factor: 1.972

5.  Visual feedback of hand and target location does not explain the tendency for straight adapted reaches.

Authors:  Fatemeh Zahed; Max Berniker
Journal:  PLoS One       Date:  2018-10-24       Impact factor: 3.240

  5 in total

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