Literature DB >> 26854741

Skill acquisition via motor imagery relies on both motor and perceptual learning.

Tony G J Ingram1, Sarah N Kraeutner1, Jack P Solomon1, David A Westwood2, Shaun G Boe3.   

Abstract

Motor imagery (MI), the mental rehearsal of movement, is an effective means for acquiring a novel skill, even in the absence of physical practice (PP). The nature of this learning, be it perceptual, motor, or both, is not well understood. Understanding the mechanisms underlying MI-based skill acquisition has implications for its use in numerous disciplines, including informing best practices regarding its use. Here we used an implicit sequence learning (ISL) task to probe whether MI-based skill acquisition can be attributed to perceptual or motor learning. Participants (n = 60) randomized to 4 groups were trained through MI or PP, and were then tested in either perceptual (altering the sensory cue) or motor (switching the hand) transfer conditions. Control participants (n = 42) that did not perform a transfer condition were utilized from previous work. Learning was quantified through effect sizes for reaction time (RT) differences between implicit and random sequences. Generally, PP-based training led to lower RTs compared with MI-based training for implicit and random sequences. All groups demonstrated learning (p < .05), the magnitude of which was reduced by transfer conditions relative to controls. For MI-based training perceptual transfer disrupted performance more than for PP. Motor transfer disrupted performance equally for MI- and PP-based training. Our results suggest that MI-based training relies on both perceptual and motor learning, while PP-based training relies more on motor processes. These results reveal details regarding the mechanisms underlying MI, and inform its use as a modality for skill acquisition. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Year:  2016        PMID: 26854741     DOI: 10.1037/bne0000126

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  7 in total

1.  Sequence representations after action-imagery practice of one-finger movements are effector-independent.

Authors:  Stephan Frederic Dahm; Matthias Weigelt; Martina Rieger
Journal:  Psychol Res       Date:  2022-02-03

Review 2.  Motor Imagery during Action Observation: A Brief Review of Evidence, Theory and Future Research Opportunities.

Authors:  Daniel L Eaves; Martin Riach; Paul S Holmes; David J Wright
Journal:  Front Neurosci       Date:  2016-11-21       Impact factor: 4.677

3.  Is imagery better than reality? Performance in imagined dart throwing.

Authors:  Stephan F Dahm; Martina Rieger
Journal:  Hum Mov Sci       Date:  2019-03-23       Impact factor: 2.161

4.  Acquisition and consolidation processes following motor imagery practice.

Authors:  Célia Ruffino; Charlène Truong; William Dupont; Fatma Bouguila; Carine Michel; Florent Lebon; Charalambos Papaxanthis
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

5.  Leveraging the effector independent nature of motor imagery when it is paired with physical practice.

Authors:  Sarah N Kraeutner; Jennifer L McArthur; Paul H Kraeutner; David A Westwood; Shaun G Boe
Journal:  Sci Rep       Date:  2020-12-07       Impact factor: 4.379

Review 6.  Online and Offline Performance Gains Following Motor Imagery Practice: A Comprehensive Review of Behavioral and Neuroimaging Studies.

Authors:  Franck Di Rienzo; Ursula Debarnot; Sébastien Daligault; Elodie Saruco; Claude Delpuech; Julien Doyon; Christian Collet; Aymeric Guillot
Journal:  Front Hum Neurosci       Date:  2016-06-28       Impact factor: 3.169

Review 7.  The Role of Movement Representation Techniques in the Motor Learning Process: A Neurophysiological Hypothesis and a Narrative Review.

Authors:  Ferran Cuenca-Martínez; Luis Suso-Martí; Jose Vicente León-Hernández; Roy La Touche
Journal:  Brain Sci       Date:  2020-01-02
  7 in total

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