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

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dc.authoridMehmet Mahir Özmen / 0000-0003-0649-0111
dc.authoridCanberk Cengiz / 0000-0001-7444-7874
dc.authorscopusidMehmet Mahir Özmen / 57211511111
dc.authorscopusidCanberk Cengiz / 57699611000
dc.authorwosidMehmet Mahir Özmen / AAO-2321-2020
dc.authorwosidCanberk Cengiz / AAO-5573-2020
dc.contributor.authorKeleş, Hasan Onur
dc.contributor.authorCengiz, Canberk
dc.contributor.authorDemiral, İrem
dc.contributor.authorÖzmen, Mehmet Mahir
dc.contributor.authorOmurtağ, Ahmet
dc.date.accessioned2021-02-22T12:40:15Z
dc.date.available2021-02-22T12:40:15Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Sağlık Hizmetleri Meslek Yüksekokulu, Elektronörofizyoloji Bölümüen_US
dc.description.abstractAbstract 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.en_US
dc.identifier.citationKeles HO, Cengiz C, Demiral I, Ozmen MM, Omurtag A (2021) High density optical neuroimaging predicts surgeons’s subjective experience and skill levels. PLoS ONE 16(2): e0247117. https://doi.org/10.1371/journal.pone.0247117en_US
dc.identifier.doi10.1371/journal.pone.0247117en_US
dc.identifier.issue2en_US
dc.identifier.pmid33600502en_US
dc.identifier.scopus2-s2.0-85101357728en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0247117
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1489
dc.identifier.volume16en_US
dc.identifier.wosWOS:000620625100020en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorCengiz, Canberk
dc.institutionauthorÖzmen, Mehmet Mahir
dc.language.isoenen_US
dc.publisherPLOS ONEen_US
dc.relation.ispartofPlos Oneen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleHigh density optical neuroimaging predicts surgeons's subjective experience and skill levelsen_US
dc.typeArticleen_US

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