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Implicit motor learning promotes neural efficiency during laparoscopy

BACKGROUND: An understanding of differences in expert and novice neural behavior can inform surgical skills training. Outside the surgical domain, electroencephalographic (EEG) coherence analyses have shown that during motor performance, experts display less coactivation between the verbal-analytic...

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Autores principales: Zhu, Frank F., Poolton, Jamie M., Wilson, Mark R., Hu, Yong, Maxwell, Jon P., Masters, Rich S. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160550/
https://www.ncbi.nlm.nih.gov/pubmed/21455805
http://dx.doi.org/10.1007/s00464-011-1647-8
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author Zhu, Frank F.
Poolton, Jamie M.
Wilson, Mark R.
Hu, Yong
Maxwell, Jon P.
Masters, Rich S. W.
author_facet Zhu, Frank F.
Poolton, Jamie M.
Wilson, Mark R.
Hu, Yong
Maxwell, Jon P.
Masters, Rich S. W.
author_sort Zhu, Frank F.
collection PubMed
description BACKGROUND: An understanding of differences in expert and novice neural behavior can inform surgical skills training. Outside the surgical domain, electroencephalographic (EEG) coherence analyses have shown that during motor performance, experts display less coactivation between the verbal-analytic and motor planning regions than their less skilled counterparts. Reduced involvement of verbal-analytic processes suggests greater neural efficiency. The authors tested the utility of an implicit motor learning intervention specifically devised to promote neural efficiency by reducing verbal-analytic involvement in laparoscopic performance. METHODS: In this study, 18 novices practiced a movement pattern on a laparoscopic trainer with either conscious awareness of the movement pattern (explicit motor learning) or suppressed awareness of the movement pattern (implicit motor learning). In a retention test, movement accuracy was compared between the conditions, and coactivation (EEG coherence) was assessed between the motor planning (Fz) region and both the verbal-analytic (T3) and the visuospatial (T4) cortical regions (T3-Fz and T4-Fz, respectively). RESULTS: Movement accuracy in the conditions was not different in a retention test (P = 0.231). Findings showed that the EEG coherence scores for the T3-Fz regions were lower for the implicit learners than for the explicit learners (P = 0.027), but no differences were apparent for the T4-Fz regions (P = 0.882). CONCLUSIONS: Implicit motor learning reduced EEG coactivation between verbal-analytic and motor planning regions, suggesting that verbal-analytic processes were less involved in laparoscopic performance. The findings imply that training techniques that discourage nonessential coactivation during motor performance may provide surgeons with more neural resources with which to manage other aspects of surgery.
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spelling pubmed-31605502011-09-26 Implicit motor learning promotes neural efficiency during laparoscopy Zhu, Frank F. Poolton, Jamie M. Wilson, Mark R. Hu, Yong Maxwell, Jon P. Masters, Rich S. W. Surg Endosc Article BACKGROUND: An understanding of differences in expert and novice neural behavior can inform surgical skills training. Outside the surgical domain, electroencephalographic (EEG) coherence analyses have shown that during motor performance, experts display less coactivation between the verbal-analytic and motor planning regions than their less skilled counterparts. Reduced involvement of verbal-analytic processes suggests greater neural efficiency. The authors tested the utility of an implicit motor learning intervention specifically devised to promote neural efficiency by reducing verbal-analytic involvement in laparoscopic performance. METHODS: In this study, 18 novices practiced a movement pattern on a laparoscopic trainer with either conscious awareness of the movement pattern (explicit motor learning) or suppressed awareness of the movement pattern (implicit motor learning). In a retention test, movement accuracy was compared between the conditions, and coactivation (EEG coherence) was assessed between the motor planning (Fz) region and both the verbal-analytic (T3) and the visuospatial (T4) cortical regions (T3-Fz and T4-Fz, respectively). RESULTS: Movement accuracy in the conditions was not different in a retention test (P = 0.231). Findings showed that the EEG coherence scores for the T3-Fz regions were lower for the implicit learners than for the explicit learners (P = 0.027), but no differences were apparent for the T4-Fz regions (P = 0.882). CONCLUSIONS: Implicit motor learning reduced EEG coactivation between verbal-analytic and motor planning regions, suggesting that verbal-analytic processes were less involved in laparoscopic performance. The findings imply that training techniques that discourage nonessential coactivation during motor performance may provide surgeons with more neural resources with which to manage other aspects of surgery. Springer-Verlag 2011-04-01 2011 /pmc/articles/PMC3160550/ /pubmed/21455805 http://dx.doi.org/10.1007/s00464-011-1647-8 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Zhu, Frank F.
Poolton, Jamie M.
Wilson, Mark R.
Hu, Yong
Maxwell, Jon P.
Masters, Rich S. W.
Implicit motor learning promotes neural efficiency during laparoscopy
title Implicit motor learning promotes neural efficiency during laparoscopy
title_full Implicit motor learning promotes neural efficiency during laparoscopy
title_fullStr Implicit motor learning promotes neural efficiency during laparoscopy
title_full_unstemmed Implicit motor learning promotes neural efficiency during laparoscopy
title_short Implicit motor learning promotes neural efficiency during laparoscopy
title_sort implicit motor learning promotes neural efficiency during laparoscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160550/
https://www.ncbi.nlm.nih.gov/pubmed/21455805
http://dx.doi.org/10.1007/s00464-011-1647-8
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