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Brain electrodynamic and hemodynamic signatures against fatigue during driving


Chuang, C-H and Cao, Z and King, J-T and Wu, B-S and Wang, Y-K and Lin, C-T, Brain electrodynamic and hemodynamic signatures against fatigue during driving, Frontiers in Neuroscience, 12 Article 181. ISSN 1662-453X (2018) [Refereed Article]


Copyright Statement

Copyright 2018 Chuang, Cao, King, Wu, Wang and Lin. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3389/fnins.2018.00181


Fatigue is likely to be gradually cumulated in a prolonged and attention-demanding task that may adversely affect task performance. To address the brain dynamics during a driving task, this study recruited 16 subjects to participate in an event-related lane-departure driving experiment. Each subject was instructed to maintain attention and task performance throughout an hour-long driving experiment. The subjects' brain electrodynamics and hemodynamics were simultaneously recorded via 32-channel electroencephalography (EEG) and 8-source/16-detector functional near-infrared spectroscopy (fNIRS). The behavior performance demonstrated that all subjects were able to promptly respond to lane-deviation events, even if the sign of fatigue arose in the brain, which suggests that the subjects were fighting fatigue during the driving experiment. The EEG event-related analysis showed strengthening alpha suppression in the occipital cortex, a common brain region of fatigue. Furthermore, we noted increasing oxygenated hemoglobin (HbO) of the brain to fight driving fatigue in the frontal cortex, primary motor cortex, parieto-occipital cortex and supplementary motor area. In conclusion, the increasing neural activity and cortical activations were aimed at maintaining driving performance when fatigue emerged. The electrodynamic and hemodynamic signatures of fatigue fighting contribute to our understanding of the brain dynamics of driving fatigue and address driving safety issues through the maintenance of attention and behavioral performance.

Item Details

Item Type:Refereed Article
Keywords:EEG, fNIRS, driving, fatigue, fighting
Research Division:Information and Computing Sciences
Research Group:Graphics, augmented reality and games
Research Field:Virtual and mixed reality
Objective Division:Defence
Objective Group:Defence
Objective Field:Intelligence, surveillance and space
UTAS Author:Cao, Z (Dr Zehong Cao)
ID Code:131539
Year Published:2018
Web of Science® Times Cited:39
Deposited By:Information and Communication Technology
Deposited On:2019-03-21
Last Modified:2019-04-26
Downloads:28 View Download Statistics

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