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Tytuł:
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Using electroencephalography to explore neurocognitive correlates of procedural proficiency: A pilot study to compare experts and novices during simulated endotracheal intubation.
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Autorzy:
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Toy S; Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA. Electronic address: .
Ozsoy S; NeuroField Inc, Santa Barbara, CA, USA; BioSoftPro, LLC, Kensington, MD 20895, USA. Electronic address: .
Shafiei S; Urology Department of Roswell Park Comprehensive Cancer Center in Buffalo, NY, USA. Electronic address: .
Antonenko P; Educational Technology, College of Education, University of Florida, Gainesville, FL, USA. Electronic address: .
Schwengel D; Department of Anesthesiology & Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: .
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Źródło:
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Brain and cognition [Brain Cogn] 2023 Feb; Vol. 165, pp. 105938. Date of Electronic Publication: 2022 Dec 15.
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Typ publikacji:
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Observational Study; Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Original Publication: New York : Academic Press, [c1982-
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MeSH Terms:
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Electroencephalography*
Cerebral Cortex*
Humans ; Pilot Projects ; Clinical Competence ; Self Report
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Contributed Indexing:
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Keywords: Electroencephalography; Medical education; Neural oscillations; Neurocognitive engagement; Procedural skill assessment
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Entry Date(s):
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Date Created: 20221217 Date Completed: 20230110 Latest Revision: 20230301
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Update Code:
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20240105
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DOI:
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10.1016/j.bandc.2022.105938
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PMID:
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36527783
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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.
Competing Interests: 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.
(Copyright © 2022 Elsevier Inc. All rights reserved.)
