Literature DB >> 20570818

Neural correlates of the contextual interference effect in motor learning: a transcranial magnetic stimulation investigation.

Chien-Ho Janice Lin1, Carolee J Winstein, Beth E Fisher, Allan D Wu.   

Abstract

The authors applied transcranial magnetic stimulation (TMS) to investigate the causal role of the primary motor cortex (M1) for the contextual-interference effect in motor learning. Previous work using a nonfocal TMS coil suggested a casual role for M1 during high-interference practice conditions, but this hypothesis has not yet been proven. In the 1st experiment, participants practiced 3 rapid elbow flexion-extension tasks in either a blocked or random order, with learning assessed by a delayed retention test. TMS was delivered immediately after feedback during practice using a circular coil, centered over the contralateral M1. Each participant practiced with 1 of 3 TMS conditions: no TMS, real TMS, or sham TMS. Although no significant differences were observed between groups during acquisition, retention of the random group was better than the blocked group. The learning benefits of random practice were attenuated in the real-TMS condition, but not in the sham-TMS or no-TMS conditions. In the second experiment, the authors studied the effects of suprathreshold TMS and subthreshold TMS over M1, lateral premotor cortex, and peripheral arm stimulation using a focal figure-8 coil on motor learning under random practice conditions. The authors found that only suprathreshold TMS on M1 produced significant disruption of retention compared to the other stimulation conditions. Results suggest that a high-threshold neuronal population within M1 is causally important for enhanced retention following random, but not block, practice. Results also support the early intertrial interval as a critical period of M1 activity during practice. Overall, these results suggest neural circuits within M1 contribute to motor learning processing that depends on learners' training experience. Results contribute to knowledge of the critical and specific role that M1 plays in generating a learning advantage following high-interference practice conditions.

Entities:  

Mesh:

Year:  2010        PMID: 20570818     DOI: 10.1080/00222895.2010.492720

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  10 in total

1.  Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.

Authors:  Steven M Chase; Robert E Kass; Andrew B Schwartz
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

2.  Learning through observation: a combination of expert and novice models favors learning.

Authors:  Hassan Rohbanfard; Luc Proteau
Journal:  Exp Brain Res       Date:  2011-10-11       Impact factor: 1.972

Review 3.  Consolidating behavioral and neurophysiologic findings to explain the influence of contextual interference during motor sequence learning.

Authors:  David Wright; Willem Verwey; John Buchanen; Jing Chen; Joohyun Rhee; Maarten Immink
Journal:  Psychon Bull Rev       Date:  2016-02

4.  Practice Structure and Locomotor Learning After Stroke.

Authors:  Erin E Helm; Ryan T Pohlig; Devina S Kumar; Darcy S Reisman
Journal:  J Neurol Phys Ther       Date:  2019-04       Impact factor: 3.649

5.  An interpolated activity during the knowledge-of-results delay interval eliminates the learning advantages of self-controlled feedback schedules.

Authors:  Michael J Carter; Diane M Ste-Marie
Journal:  Psychol Res       Date:  2016-02-18

6.  Anodal transcranial direct current stimulation over the primary motor cortex does not enhance the learning benefits of self-controlled feedback schedules.

Authors:  Michael J Carter; Victoria Smith; Anthony N Carlsen; Diane M Ste-Marie
Journal:  Psychol Res       Date:  2017-02-27

7.  Movement pattern biofeedback training after total knee arthroplasty: Randomized clinical trial protocol.

Authors:  Michael J Bade; Jesse C Christensen; Joseph A Zeni; Cory L Christiansen; Michael R Dayton; Jeri E Forster; Victor A Cheuy; Jennifer E Stevens-Lapsley
Journal:  Contemp Clin Trials       Date:  2020-03-12       Impact factor: 2.226

8.  Neural Mechanisms of the Contextual Interference Effect and Parameter Similarity on Motor Learning in Older Adults: An EEG Study.

Authors:  Meysam Beik; Hamidreza Taheri; Alireza Saberi Kakhki; Majid Ghoshuni
Journal:  Front Aging Neurosci       Date:  2020-06-12       Impact factor: 5.750

9.  Updates in Motor Learning: Implications for Physical Therapist Practice and Education.

Authors:  Kristan A Leech; Ryan T Roemmich; James Gordon; Darcy S Reisman; Kendra M Cherry-Allen
Journal:  Phys Ther       Date:  2022-01-01

10.  Contextual interference in complex bimanual skill learning leads to better skill persistence.

Authors:  Lisa Pauwels; Stephan P Swinnen; Iseult A M Beets
Journal:  PLoS One       Date:  2014-06-24       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.