Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Efference information flow during skill acquisition mediate its interaction with medical simulation technology

Anil Kamat, Basiel Makled, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, View ORCID ProfileAnirban Dutta
doi: https://doi.org/10.1101/2021.09.19.460954
Anil Kamat
1Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Basiel Makled
2U.S. Army Futures Command, Combat Capabilities Development Command Soldier Center STTC, Orlando, FL
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jack Norfleet
2U.S. Army Futures Command, Combat Capabilities Development Command Soldier Center STTC, Orlando, FL
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven D. Schwaitzberg
3University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xavier Intes
1Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY
4Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Suvranu De
1Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY
4Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anirban Dutta
5Neuroengineering and Informatics for Rehabilitation Laboratory, Department of Biomedical Engineering, University at Buffalo, Buffalo, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anirban Dutta
  • For correspondence: anirband@buffalo.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Despite substantial progress towards establishing virtual reality (VR) simulators as a replacement for physical ones for skill training, its effect on the brain network during skill acquisition has not been well addressed. In this study, we employed portable optical neuroimaging technology and Granger causality approach to uncover the impact of the two medical simulation technologies on the directed functional brain network of the subjects with two different skill levels. The mobile brain-behavior relantionship was evaluated using functional near-infrared spectroscopy (fNIRS) while right-handed subjects performed well-established fundamentals of laparoscopic surgery (FLS) pattern cutting task. A multiple regression path analysis found that the cognitive-action information flow from the right prefrontal cortex to the supplementary motor area statistically significantly predicted the FLS task performance. Here, the skill level (expert vs novice) affected the cognitive-action information flow from the right prefrontal cortex and the efference copy information flow from the left primary motor cortex via supplementary motor area as hub to the cognitive-perception at the left prefrontal cortex, i.e., the action-preception link. The simulation technology (physical vs VR simulator) affected solely the cognitive-action information flow from the right prefrontal cortex to the left primary motor cortex; however, the interaction between the medical simulation technology) and the skill level affected the efference information flow from the left primary motor cortex to the right prefrontal cortex and from the supplementary motor area to the left prefrontal cortex. These discriminative findings are crucial since our VR simulator had face and construct validity. Therefore, our study highlighted the importance of efference information flow within the framework of the perception-action cycle when comparing medical simulation technology for visuomotor skill acquisition.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 21, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Efference information flow during skill acquisition mediate its interaction with medical simulation technology
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Efference information flow during skill acquisition mediate its interaction with medical simulation technology
Anil Kamat, Basiel Makled, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Anirban Dutta
bioRxiv 2021.09.19.460954; doi: https://doi.org/10.1101/2021.09.19.460954
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Efference information flow during skill acquisition mediate its interaction with medical simulation technology
Anil Kamat, Basiel Makled, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Anirban Dutta
bioRxiv 2021.09.19.460954; doi: https://doi.org/10.1101/2021.09.19.460954

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3479)
  • Biochemistry (7318)
  • Bioengineering (5296)
  • Bioinformatics (20197)
  • Biophysics (9976)
  • Cancer Biology (7703)
  • Cell Biology (11250)
  • Clinical Trials (138)
  • Developmental Biology (6418)
  • Ecology (9916)
  • Epidemiology (2065)
  • Evolutionary Biology (13280)
  • Genetics (9352)
  • Genomics (12554)
  • Immunology (7674)
  • Microbiology (18939)
  • Molecular Biology (7417)
  • Neuroscience (40893)
  • Paleontology (298)
  • Pathology (1226)
  • Pharmacology and Toxicology (2126)
  • Physiology (3140)
  • Plant Biology (6838)
  • Scientific Communication and Education (1270)
  • Synthetic Biology (1891)
  • Systems Biology (5296)
  • Zoology (1085)