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The effects of different fatigue levels on brain–behavior relationships in driving

BACKGROUND: In the past decade, fatigue has been regarded as one of the main factors impairing task performance and increasing behavioral lapses during driving, even leading to fatal car crashes. Although previous studies have explored the impact of acute fatigue through electroencephalography (EEG)...

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Autores principales: Huang, Kuan‐Chih, Chuang, Chun‐Hsiang, Wang, Yu‐kai, Hsieh, Chi‐Yuan, King, Jung‐Tai, Lin, Chin‐Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908862/
https://www.ncbi.nlm.nih.gov/pubmed/31568699
http://dx.doi.org/10.1002/brb3.1379
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author Huang, Kuan‐Chih
Chuang, Chun‐Hsiang
Wang, Yu‐kai
Hsieh, Chi‐Yuan
King, Jung‐Tai
Lin, Chin‐Teng
author_facet Huang, Kuan‐Chih
Chuang, Chun‐Hsiang
Wang, Yu‐kai
Hsieh, Chi‐Yuan
King, Jung‐Tai
Lin, Chin‐Teng
author_sort Huang, Kuan‐Chih
collection PubMed
description BACKGROUND: In the past decade, fatigue has been regarded as one of the main factors impairing task performance and increasing behavioral lapses during driving, even leading to fatal car crashes. Although previous studies have explored the impact of acute fatigue through electroencephalography (EEG) signals, it is still unclear how different fatigue levels affect brain–behavior relationships. METHODS: A longitudinal study was performed to investigate the brain dynamics and behavioral changes in individuals under different fatigue levels by a sustained attention task. This study used questionnaires in combination with actigraphy, a noninvasive means of monitoring human physiological activity cycles, to conduct longitudinal assessment and tracking of the objective and subjective fatigue levels of recruited participants. In this study, degrees of effectiveness score (fatigue rating) are divided into three levels (normal, reduced, and high risk) by the SAFTE fatigue model. RESULTS: Results showed that those objective and subjective indicators were negatively correlated to behavioral performance. In addition, increased response times were accompanied by increased alpha and theta power in most brain regions, especially the posterior regions. In particular, the theta and alpha power dramatically increased in the high‐fatigue (high‐risk) group. Additionally, the alpha power of the occipital regions showed an inverted U‐shaped change. CONCLUSION: Our results help to explain the inconsistent findings among existing studies, which considered the effects of only acute fatigue on driving performance while ignoring different levels of resident fatigue, and potentially lead to practical and precise biomathematical models to better predict the performance of human operators.
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spelling pubmed-69088622019-12-20 The effects of different fatigue levels on brain–behavior relationships in driving Huang, Kuan‐Chih Chuang, Chun‐Hsiang Wang, Yu‐kai Hsieh, Chi‐Yuan King, Jung‐Tai Lin, Chin‐Teng Brain Behav Original Research BACKGROUND: In the past decade, fatigue has been regarded as one of the main factors impairing task performance and increasing behavioral lapses during driving, even leading to fatal car crashes. Although previous studies have explored the impact of acute fatigue through electroencephalography (EEG) signals, it is still unclear how different fatigue levels affect brain–behavior relationships. METHODS: A longitudinal study was performed to investigate the brain dynamics and behavioral changes in individuals under different fatigue levels by a sustained attention task. This study used questionnaires in combination with actigraphy, a noninvasive means of monitoring human physiological activity cycles, to conduct longitudinal assessment and tracking of the objective and subjective fatigue levels of recruited participants. In this study, degrees of effectiveness score (fatigue rating) are divided into three levels (normal, reduced, and high risk) by the SAFTE fatigue model. RESULTS: Results showed that those objective and subjective indicators were negatively correlated to behavioral performance. In addition, increased response times were accompanied by increased alpha and theta power in most brain regions, especially the posterior regions. In particular, the theta and alpha power dramatically increased in the high‐fatigue (high‐risk) group. Additionally, the alpha power of the occipital regions showed an inverted U‐shaped change. CONCLUSION: Our results help to explain the inconsistent findings among existing studies, which considered the effects of only acute fatigue on driving performance while ignoring different levels of resident fatigue, and potentially lead to practical and precise biomathematical models to better predict the performance of human operators. John Wiley and Sons Inc. 2019-09-30 /pmc/articles/PMC6908862/ /pubmed/31568699 http://dx.doi.org/10.1002/brb3.1379 Text en © 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Huang, Kuan‐Chih
Chuang, Chun‐Hsiang
Wang, Yu‐kai
Hsieh, Chi‐Yuan
King, Jung‐Tai
Lin, Chin‐Teng
The effects of different fatigue levels on brain–behavior relationships in driving
title The effects of different fatigue levels on brain–behavior relationships in driving
title_full The effects of different fatigue levels on brain–behavior relationships in driving
title_fullStr The effects of different fatigue levels on brain–behavior relationships in driving
title_full_unstemmed The effects of different fatigue levels on brain–behavior relationships in driving
title_short The effects of different fatigue levels on brain–behavior relationships in driving
title_sort effects of different fatigue levels on brain–behavior relationships in driving
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908862/
https://www.ncbi.nlm.nih.gov/pubmed/31568699
http://dx.doi.org/10.1002/brb3.1379
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