Spatial and temporal EEG dynamics of dual-task driving performance

Lin, CT; Chen, SA; Chiu, TT; Lin, HZ; Ko, LW

Spatial and temporal EEG dynamics of dual-task driving performance

Lin, CT

Chen, SA Chiu, TT Lin, HZ Ko, LW

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Publication Type:: Journal Article
Citation:: Journal of NeuroEngineering and Rehabilitation, 2011, 8 (1)
Issue Date:: 2011-02-22

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Field	Value	Language
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	Chen, SA	en_US
dc.contributor.author	Chiu, TT	en_US
dc.contributor.author	Lin, HZ	en_US
dc.contributor.author	Ko, LW	en_US
dc.date.available	2011-02-18	en_US
dc.date.issued	2011-02-22	en_US
dc.identifier.citation	Journal of NeuroEngineering and Rehabilitation, 2011, 8 (1)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116319
dc.description.abstract	Background: Driver distraction is a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) dynamics in relation to distraction during driving. To study human cognition under a specific driving task, simulated real driving using virtual reality (VR)-based simulation and designed dual-task events are built, which include unexpected car deviations and mathematics questions. Methods. We designed five cases with different stimulus onset asynchrony (SOA) to investigate the distraction effects between the deviations and equations. The EEG channel signals are first converted into separated brain sources by independent component analysis (ICA). Then, event-related spectral perturbation (ERSP) changes of the EEG power spectrum are used to evaluate brain dynamics in time-frequency domains. Results: Power increases in the theta and beta bands are observed in relation with distraction effects in the frontal cortex. In the motor area, alpha and beta power suppressions are also observed. All of the above results are consistently observed across 15 subjects. Additionally, further analysis demonstrates that response time and multiple cortical EEG power both changed significantly with different SOA. Conclusions: This study suggests that theta power increases in the frontal area is related to driver distraction and represents the strength of distraction in real-life situations. © 2011 Lin et al; licensee BioMed Central Ltd.	en_US
dc.relation.ispartof	Journal of NeuroEngineering and Rehabilitation	en_US
dc.relation.isbasedon	10.1186/1743-0003-8-11	en_US
dc.subject.classification	Rehabilitation	en_US
dc.subject.mesh	Brain	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Electroencephalography	en_US
dc.subject.mesh	Brain Mapping	en_US
dc.subject.mesh	Task Performance and Analysis	en_US
dc.subject.mesh	Attention	en_US
dc.subject.mesh	Reaction Time	en_US
dc.subject.mesh	Automobile Driving	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	Spatial and temporal EEG dynamics of dual-task driving performance	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	8	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	1109 Neurosciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	8	en_US

Abstract:

Background: Driver distraction is a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) dynamics in relation to distraction during driving. To study human cognition under a specific driving task, simulated real driving using virtual reality (VR)-based simulation and designed dual-task events are built, which include unexpected car deviations and mathematics questions. Methods. We designed five cases with different stimulus onset asynchrony (SOA) to investigate the distraction effects between the deviations and equations. The EEG channel signals are first converted into separated brain sources by independent component analysis (ICA). Then, event-related spectral perturbation (ERSP) changes of the EEG power spectrum are used to evaluate brain dynamics in time-frequency domains. Results: Power increases in the theta and beta bands are observed in relation with distraction effects in the frontal cortex. In the motor area, alpha and beta power suppressions are also observed. All of the above results are consistently observed across 15 subjects. Additionally, further analysis demonstrates that response time and multiple cortical EEG power both changed significantly with different SOA. Conclusions: This study suggests that theta power increases in the frontal area is related to driver distraction and represents the strength of distraction in real-life situations. © 2011 Lin et al; licensee BioMed Central Ltd.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/116319