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High density optical neuroimaging predicts surgeons’s subjective experience and skill levels

Measuring cognitive load is important for surgical education and patient safety. Traditional approaches of measuring cognitive load of surgeons utilise behavioural metrics to measure performance and surveys and questionnaires to collect reports of subjective experience. These have disadvantages such...

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Autores principales: Keles, Hasan Onur, Cengiz, Canberk, Demiral, Irem, Ozmen, Mehmet Mahir, Omurtag, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891714/
https://www.ncbi.nlm.nih.gov/pubmed/33600502
http://dx.doi.org/10.1371/journal.pone.0247117
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author Keles, Hasan Onur
Cengiz, Canberk
Demiral, Irem
Ozmen, Mehmet Mahir
Omurtag, Ahmet
author_facet Keles, Hasan Onur
Cengiz, Canberk
Demiral, Irem
Ozmen, Mehmet Mahir
Omurtag, Ahmet
author_sort Keles, Hasan Onur
collection PubMed
description Measuring cognitive load is important for surgical education and patient safety. Traditional approaches of measuring cognitive load of surgeons utilise behavioural metrics to measure performance and surveys and questionnaires to collect reports of subjective experience. These have disadvantages such as sporadic data, occasionally intrusive methodologies, subjective or misleading self-reporting. In addition, traditional approaches use subjective metrics that cannot distinguish between skill levels. Functional neuroimaging data was collected using a high density, wireless NIRS device from sixteen surgeons (11 attending surgeons and 5 surgery resident) and 17 students while they performed two laparoscopic tasks (Peg transfer and String pass). Participant’s subjective mental load was assessed using the NASA-TLX survey. Machine learning approaches were used for predicting the subjective experience and skill levels. The Prefrontal cortex (PFC) activations were greater in students who reported higher-than-median task load, as measured by the NASA-TLX survey. However in the case of attending surgeons the opposite tendency was observed, namely higher activations in the lower v higher task loaded subjects. We found that response was greater in the left PFC of students particularly near the dorso- and ventrolateral areas. We quantified the ability of PFC activation to predict the differences in skill and task load using machine learning while focussing on the effects of NIRS channel separation distance on the results. Our results showed that the classification of skill level and subjective task load could be predicted based on PFC activation with an accuracy of nearly 90%. Our finding shows that there is sufficient information available in the optical signals to make accurate predictions about the surgeons’ subjective experiences and skill levels. The high accuracy of results is encouraging and suggest the integration of the strategy developed in this study as a promising approach to design automated, more accurate and objective evaluation methods.
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spelling pubmed-78917142021-02-25 High density optical neuroimaging predicts surgeons’s subjective experience and skill levels Keles, Hasan Onur Cengiz, Canberk Demiral, Irem Ozmen, Mehmet Mahir Omurtag, Ahmet PLoS One Research Article Measuring cognitive load is important for surgical education and patient safety. Traditional approaches of measuring cognitive load of surgeons utilise behavioural metrics to measure performance and surveys and questionnaires to collect reports of subjective experience. These have disadvantages such as sporadic data, occasionally intrusive methodologies, subjective or misleading self-reporting. In addition, traditional approaches use subjective metrics that cannot distinguish between skill levels. Functional neuroimaging data was collected using a high density, wireless NIRS device from sixteen surgeons (11 attending surgeons and 5 surgery resident) and 17 students while they performed two laparoscopic tasks (Peg transfer and String pass). Participant’s subjective mental load was assessed using the NASA-TLX survey. Machine learning approaches were used for predicting the subjective experience and skill levels. The Prefrontal cortex (PFC) activations were greater in students who reported higher-than-median task load, as measured by the NASA-TLX survey. However in the case of attending surgeons the opposite tendency was observed, namely higher activations in the lower v higher task loaded subjects. We found that response was greater in the left PFC of students particularly near the dorso- and ventrolateral areas. We quantified the ability of PFC activation to predict the differences in skill and task load using machine learning while focussing on the effects of NIRS channel separation distance on the results. Our results showed that the classification of skill level and subjective task load could be predicted based on PFC activation with an accuracy of nearly 90%. Our finding shows that there is sufficient information available in the optical signals to make accurate predictions about the surgeons’ subjective experiences and skill levels. The high accuracy of results is encouraging and suggest the integration of the strategy developed in this study as a promising approach to design automated, more accurate and objective evaluation methods. Public Library of Science 2021-02-18 /pmc/articles/PMC7891714/ /pubmed/33600502 http://dx.doi.org/10.1371/journal.pone.0247117 Text en © 2021 Keles et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Keles, Hasan Onur
Cengiz, Canberk
Demiral, Irem
Ozmen, Mehmet Mahir
Omurtag, Ahmet
High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title_full High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title_fullStr High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title_full_unstemmed High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title_short High density optical neuroimaging predicts surgeons’s subjective experience and skill levels
title_sort high density optical neuroimaging predicts surgeons’s subjective experience and skill levels
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891714/
https://www.ncbi.nlm.nih.gov/pubmed/33600502
http://dx.doi.org/10.1371/journal.pone.0247117
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