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Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study

Optimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise...

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Detalles Bibliográficos
Autores principales: Geissler, Christoph F., Schneider, Jörn, Frings, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804012/
https://www.ncbi.nlm.nih.gov/pubmed/33436950
http://dx.doi.org/10.1038/s41598-020-80477-w
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author Geissler, Christoph F.
Schneider, Jörn
Frings, Christian
author_facet Geissler, Christoph F.
Schneider, Jörn
Frings, Christian
author_sort Geissler, Christoph F.
collection PubMed
description Optimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise driver comfort, it is necessary to identify brain areas that are most sensitive to mental workload changes. In this study, we used functional near-infrared spectroscopy and subjective ratings to measure mental workload in two virtual driving environments with distinct demands. We found that demanding city environments induced both higher subjective workload ratings as well as higher bilateral middle frontal gyrus activation than less demanding country environments. A further analysis with higher spatial resolution revealed a center of activation in the right anterior dorsolateral prefrontal cortex. The area is highly involved in spatial working memory processing. Thus, a main component of drivers’ mental workload in complex surroundings might stem from the fact that large amounts of spatial information about the course of the road as well as other road users has to constantly be upheld, processed and updated. We propose that the right middle frontal gyrus might be a suitable region for the application of powerful small-area brain computer interfaces.
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spelling pubmed-78040122021-01-13 Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study Geissler, Christoph F. Schneider, Jörn Frings, Christian Sci Rep Article Optimal mental workload plays a key role in driving performance. Thus, driver-assisting systems that automatically adapt to a drivers current mental workload via brain–computer interfacing might greatly contribute to traffic safety. To design economic brain computer interfaces that do not compromise driver comfort, it is necessary to identify brain areas that are most sensitive to mental workload changes. In this study, we used functional near-infrared spectroscopy and subjective ratings to measure mental workload in two virtual driving environments with distinct demands. We found that demanding city environments induced both higher subjective workload ratings as well as higher bilateral middle frontal gyrus activation than less demanding country environments. A further analysis with higher spatial resolution revealed a center of activation in the right anterior dorsolateral prefrontal cortex. The area is highly involved in spatial working memory processing. Thus, a main component of drivers’ mental workload in complex surroundings might stem from the fact that large amounts of spatial information about the course of the road as well as other road users has to constantly be upheld, processed and updated. We propose that the right middle frontal gyrus might be a suitable region for the application of powerful small-area brain computer interfaces. Nature Publishing Group UK 2021-01-12 /pmc/articles/PMC7804012/ /pubmed/33436950 http://dx.doi.org/10.1038/s41598-020-80477-w Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Geissler, Christoph F.
Schneider, Jörn
Frings, Christian
Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title_full Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title_fullStr Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title_full_unstemmed Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title_short Shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
title_sort shedding light on the prefrontal correlates of mental workload in simulated driving: a functional near-infrared spectroscopy study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804012/
https://www.ncbi.nlm.nih.gov/pubmed/33436950
http://dx.doi.org/10.1038/s41598-020-80477-w
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