Using motor imagery practice for improving motor performance - A review.

Brain representation Imagery training Mental practice Motor learning Movement imagination

Journal

Brain and cognition
ISSN: 1090-2147
Titre abrégé: Brain Cogn
Pays: United States
ID NLM: 8218014

Informations de publication

Date de publication:
06 2021
Historique:
received: 18 12 2020
revised: 04 02 2021
accepted: 09 02 2021
pubmed: 3 3 2021
medline: 4 6 2021
entrez: 2 3 2021
Statut: ppublish

Résumé

Motor imagery practice is a current trend, but there is a need for a systematic integration of neuroscientific advances in the field. In this review, we describe the technique of motor imagery practice and its neural representation, considering different fields of application. The current practice of individualized motor imagery practice schemes often lacks systematization and is mostly based on experience. We review literature related to motor imagery practice in order to identify relevant modulators of practice effects like previous experience in motor training and motor imagery practice, the type of motor task to be trained, and strategies to increase sensory feedback during physical practice. Relevant discrepancies are identified between neuroscientific findings and practical consideration of these findings. To bridge these gaps, more effort should be directed at analyzing the brain network activities related to practically relevant motor imagery practice interventions.

Identifiants

pubmed: 33652364
pii: S0278-2626(21)00025-7
doi: 10.1016/j.bandc.2021.105705
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105705

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Aija Marie Ladda (AM)

Functional Imaging Unit, Center for Diagnostic Radiology, University Medicine of Greifswald, Germany.

Florent Lebon (F)

INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France.

Martin Lotze (M)

Functional Imaging Unit, Center for Diagnostic Radiology, University Medicine of Greifswald, Germany. Electronic address: martin.lotze@uni-greifswald.de.

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Classifications MeSH