Abstract

IntroductionCognitive Load Theory (CLT) relates to the efficiency with which individuals manipulate the limited capacity of working memory load. Repeated training generally results in individual performance increase and cognitive load decrease, as measured by both behavioral and neuroimaging methods. One of the known biomarkers for cognitive load is frontal theta band, measured by an EEG. Simulation-based training is an effective tool for acquiring practical skills, specifically to train new surgeons in a controlled and hazard-free environment. Measuring the cognitive load of young surgeons undergoing such training can help to determine whether they are ready to take part in a real surgery. In this study, we measured the performance of medical students and interns in a surgery simulator, while their brain activity was monitored by a single-channel EEG.MethodsA total of 38 medical students and interns were divided into three groups and underwent three experiments examining their behavioral performances. The participants were performing a task while being monitored by the Simbionix LAP MENTOR™. Their brain activity was simultaneously measured using a single-channel EEG with novel signal processing (Aurora by Neurosteer®). Each experiment included three trials of a simulator task performed with laparoscopic hands. The time retention between the tasks was different in each experiment, in order to examine changes in performance and cognitive load biomarkers that occurred during the task or as a result of nighttime sleep consolidation.ResultsThe participants’ behavioral performance improved with trial repetition in all three experiments. In Experiments 1 and 2, delta band and the novel VC9 biomarker (previously shown to correlate with cognitive load) exhibited a significant decrease in activity with trial repetition. Additionally, delta, VC9, and, to some extent, theta activity decreased with better individual performance.DiscussionIn correspondence with previous research, EEG markers delta, VC9, and theta (partially) decreased with lower cognitive load and higher performance; the novel biomarker, VC9, showed higher sensitivity to lower cognitive load levels. Together, these measurements may be used for the neuroimaging assessment of cognitive load while performing simulator laparoscopic tasks. This can potentially be expanded to evaluate the efficacy of different medical simulations to provide more efficient training to medical staff and measure cognitive and mental loads in real laparoscopic surgeries.

Highlights

  • Cognitive Load Theory (CLT) relates to the efficiency with which individuals manipulate the limited capacity of working memory load

  • VC9 and delta activity decreased with better individual performance, which was expressed by the significant correlations between all three behavioral measures and VC9 and delta activity

  • Theta exhibited individual differences and decreased with higher accuracy and economy of movement, and marginally increased with longer time to complete the task. These results suggest that changes in cognitive load correspond to performance in a surgery simulator as shown by VC9, delta, and, to some extent, frontal theta

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Summary

Introduction

Cognitive Load Theory (CLT) relates to the efficiency with which individuals manipulate the limited capacity of working memory load. Simulation-based training is an effective tool for acquiring practical skills, to train new surgeons in a controlled and hazard-free environment. Medical training of surgical interns in recent years utilizes digital simulators as an effective tool for acquiring practical skills in a controlled and hazard-free environment. These simulators help train interns and provide their performance outputs for each task, supporting the learning process. It does not allow extraction of similar measurements during laparoscopic procedures inside the operating room To address these points, we designed three experiments in which medical students and interns perform laparoscopic tasks under a surgery simulator, while recording their brain activity with a wearable single-channel EEG headset. We will review the literature regarding cognitive load, EEG biomarkers of cognitive load, medical simulators, and previous measurements of cognitive load during simulator tasks

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