Using electroencephalography to explore neurocognitive correlates of procedural proficiency: A pilot study to compare experts and novices during simulated endotracheal intubation.

Electroencephalography Medical education Neural oscillations Neurocognitive engagement Procedural skill assessment

Journal

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

Informations de publication

Date de publication:
02 2023
Historique:
received: 25 09 2022
revised: 23 11 2022
accepted: 07 12 2022
pubmed: 18 12 2022
medline: 11 1 2023
entrez: 17 12 2022
Statut: ppublish

Résumé

The objective of this study was to explore the use of EEG as a measure of neurocognitive engagement during a procedural task. In this observational study, self-reported cognitive load, observed performance, and EEG signatures in experts and novices were compared during simulated endotracheal intubation. Twelve medical students (novices) and eight senior anesthesiology trainees (experts) were included in the study. Experts reported significantly lower cognitive load (P < 0.001) and outperformed novices based on the observational checklist (P < 0.001). EEG signatures differed significantly between the experts and novices. Experts showed a greater increase in delta and theta band amplitudes, especially in temporal and frontal locations and in right occipital areas for delta. A machine learning algorithm showed 83.3 % accuracy for expert-novice skill classification using the selected EEG features. Performance scores were positively correlated (P < 0.05) with event-related amplitudes for delta and theta bands at locations where experts and novices showed significant differences. Increased delta and frontal/midline theta oscillations on EEG suggested that experts had better attentional control than novices. This pilot study provides initial evidence that EEG may be a useful, noninvasive measure of neurocognitive engagement in operational settings and that it has the potential to complement traditional clinical skills assessment.

Identifiants

pubmed: 36527783
pii: S0278-2626(22)00096-3
doi: 10.1016/j.bandc.2022.105938
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

105938

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Serkan Toy (S)

Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA. Electronic address: serkantoy@vt.edu.

Sahin Ozsoy (S)

NeuroField Inc, Santa Barbara, CA, USA; BioSoftPro, LLC, Kensington, MD 20895, USA. Electronic address: sahin@biosoftpro.com.

Somayeh Shafiei (S)

Urology Department of Roswell Park Comprehensive Cancer Center in Buffalo, NY, USA. Electronic address: Somayeh.BesharatShafiei@RoswellPark.org.

Pavlo Antonenko (P)

Educational Technology, College of Education, University of Florida, Gainesville, FL, USA. Electronic address: p.antonenko@coe.ufl.edu.

Deborah Schwengel (D)

Department of Anesthesiology & Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: dschweng@jhmi.edu.

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Classifications MeSH