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Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory

Adaptive training and workload management have the potential to drastically change safety and productivity in high-risk fields—including, air-traffic control, missile defense, and nuclear power-plant operations. Quantifying and classifying cognitive load is important for optimal performance. Brain-b...

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Autores principales: McKendrick, Ryan, Harwood, Amanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880762/
https://www.ncbi.nlm.nih.gov/pubmed/31824274
http://dx.doi.org/10.3389/fnhum.2019.00405
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author McKendrick, Ryan
Harwood, Amanda
author_facet McKendrick, Ryan
Harwood, Amanda
author_sort McKendrick, Ryan
collection PubMed
description Adaptive training and workload management have the potential to drastically change safety and productivity in high-risk fields—including, air-traffic control, missile defense, and nuclear power-plant operations. Quantifying and classifying cognitive load is important for optimal performance. Brain-based metrics have previously been associated with mental workload. Specifically, attenuation of prefrontal activity has been linked to cognitive overload, a cognitive load state associated with degraded task performance. We hypothesized that a similar nonlinearity would be observed for cognitive underload. When underload and overload effects are combined, they should form a cubic function in lateral prefrontal cortex as a function of working memory load. The first of two studies assessed the relationships between spatial working memory load with subjective, behavioral and hemodynamic measures. A cubic function was observed in left dorsolateral prefrontal cortex (LDLPFC; Brodmann’s Area 46) relating working memory load to changes in oxygenated hemoglobin (HbO). The second, two-part study tested the effects of workload transitions to different cognitive load states. Part-one replicated the effects observed in study one and identified transition points for individual performers. Part-two assessed the effects of transitioning to different cognitive load states. Cognitive load state transitions caused a deviation between behavioral measures and induced a significant change in the cubic function relating LDLPFC HbO and working memory load. From these observations, we present a hypothesis associating workload transitions with the disruption of cognitive process integration.
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spelling pubmed-68807622019-12-10 Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory McKendrick, Ryan Harwood, Amanda Front Hum Neurosci Human Neuroscience Adaptive training and workload management have the potential to drastically change safety and productivity in high-risk fields—including, air-traffic control, missile defense, and nuclear power-plant operations. Quantifying and classifying cognitive load is important for optimal performance. Brain-based metrics have previously been associated with mental workload. Specifically, attenuation of prefrontal activity has been linked to cognitive overload, a cognitive load state associated with degraded task performance. We hypothesized that a similar nonlinearity would be observed for cognitive underload. When underload and overload effects are combined, they should form a cubic function in lateral prefrontal cortex as a function of working memory load. The first of two studies assessed the relationships between spatial working memory load with subjective, behavioral and hemodynamic measures. A cubic function was observed in left dorsolateral prefrontal cortex (LDLPFC; Brodmann’s Area 46) relating working memory load to changes in oxygenated hemoglobin (HbO). The second, two-part study tested the effects of workload transitions to different cognitive load states. Part-one replicated the effects observed in study one and identified transition points for individual performers. Part-two assessed the effects of transitioning to different cognitive load states. Cognitive load state transitions caused a deviation between behavioral measures and induced a significant change in the cubic function relating LDLPFC HbO and working memory load. From these observations, we present a hypothesis associating workload transitions with the disruption of cognitive process integration. Frontiers Media S.A. 2019-11-15 /pmc/articles/PMC6880762/ /pubmed/31824274 http://dx.doi.org/10.3389/fnhum.2019.00405 Text en Copyright © 2019 McKendrick and Harwood. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Human Neuroscience
McKendrick, Ryan
Harwood, Amanda
Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title_full Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title_fullStr Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title_full_unstemmed Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title_short Cognitive Workload and Workload Transitions Elicit Curvilinear Hemodynamics During Spatial Working Memory
title_sort cognitive workload and workload transitions elicit curvilinear hemodynamics during spatial working memory
topic Human Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880762/
https://www.ncbi.nlm.nih.gov/pubmed/31824274
http://dx.doi.org/10.3389/fnhum.2019.00405
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