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
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
105938Informations 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.