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Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS

An improved understanding of how the brain allocates mental resources as a function of task difficulty is critical for enhancing human performance. Functional near infrared spectroscopy (fNIRS) is a field-deployable optical brain monitoring technology that provides a direct measure of cerebral blood...

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Autores principales: Causse, Mickaël, Chua, Zarrin, Peysakhovich, Vsevolod, Del Campo, Natalia, Matton, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507990/
https://www.ncbi.nlm.nih.gov/pubmed/28701789
http://dx.doi.org/10.1038/s41598-017-05378-x
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author Causse, Mickaël
Chua, Zarrin
Peysakhovich, Vsevolod
Del Campo, Natalia
Matton, Nadine
author_facet Causse, Mickaël
Chua, Zarrin
Peysakhovich, Vsevolod
Del Campo, Natalia
Matton, Nadine
author_sort Causse, Mickaël
collection PubMed
description An improved understanding of how the brain allocates mental resources as a function of task difficulty is critical for enhancing human performance. Functional near infrared spectroscopy (fNIRS) is a field-deployable optical brain monitoring technology that provides a direct measure of cerebral blood flow in response to cognitive activity. We found that fNIRS was sensitive to variations in task difficulty in both real-life (flight simulator) and laboratory settings (tests measuring executive functions), showing increased concentration of oxygenated hemoglobin (HbO2) and decreased concentration of deoxygenated hemoglobin (HHb) in the prefrontal cortex as the tasks became more complex. Intensity of prefrontal activation (HbO2 concentration) was not clearly correlated to task performance. Rather, activation intensity shed insight on the level of mental effort, i.e., how hard an individual was working to accomplish a task. When combined with performance, fNIRS provided an estimate of the participants’ neural efficiency, and this efficiency was consistent across levels of difficulty of the same task. Overall, our data support the suitability of fNIRS to assess the mental effort related to human operations and represents a promising tool for the measurement of neural efficiency in other contexts such as training programs or the clinical setting.
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spelling pubmed-55079902017-07-14 Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS Causse, Mickaël Chua, Zarrin Peysakhovich, Vsevolod Del Campo, Natalia Matton, Nadine Sci Rep Article An improved understanding of how the brain allocates mental resources as a function of task difficulty is critical for enhancing human performance. Functional near infrared spectroscopy (fNIRS) is a field-deployable optical brain monitoring technology that provides a direct measure of cerebral blood flow in response to cognitive activity. We found that fNIRS was sensitive to variations in task difficulty in both real-life (flight simulator) and laboratory settings (tests measuring executive functions), showing increased concentration of oxygenated hemoglobin (HbO2) and decreased concentration of deoxygenated hemoglobin (HHb) in the prefrontal cortex as the tasks became more complex. Intensity of prefrontal activation (HbO2 concentration) was not clearly correlated to task performance. Rather, activation intensity shed insight on the level of mental effort, i.e., how hard an individual was working to accomplish a task. When combined with performance, fNIRS provided an estimate of the participants’ neural efficiency, and this efficiency was consistent across levels of difficulty of the same task. Overall, our data support the suitability of fNIRS to assess the mental effort related to human operations and represents a promising tool for the measurement of neural efficiency in other contexts such as training programs or the clinical setting. Nature Publishing Group UK 2017-07-12 /pmc/articles/PMC5507990/ /pubmed/28701789 http://dx.doi.org/10.1038/s41598-017-05378-x Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Causse, Mickaël
Chua, Zarrin
Peysakhovich, Vsevolod
Del Campo, Natalia
Matton, Nadine
Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title_full Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title_fullStr Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title_full_unstemmed Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title_short Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS
title_sort mental workload and neural efficiency quantified in the prefrontal cortex using fnirs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507990/
https://www.ncbi.nlm.nih.gov/pubmed/28701789
http://dx.doi.org/10.1038/s41598-017-05378-x
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