Investigating brain activities and neural comodulations in motion sickness between passengers and drivers

Huang, K-C; John, AR; Jung, T-P; Tsai, W-F; Yu, Y-H; Lin, C-T

Investigating brain activities and neural comodulations in motion sickness between passengers and drivers

Huang, K-C John, AR Jung, T-P Tsai, W-F Yu, Y-H Lin, C-T

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29, pp. 1259-1267
Issue Date:: 2021-06-28

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Field	Value	Language
dc.contributor.author	Huang, K-C
dc.contributor.author	John, AR
dc.contributor.author	Jung, T-P
dc.contributor.author	Tsai, W-F
dc.contributor.author	Yu, Y-H
dc.contributor.author	Lin, C-T
dc.date.accessioned	2022-03-31T05:37:19Z
dc.date.available	2022-03-31T05:37:19Z
dc.date.issued	2021-06-28
dc.identifier.citation	IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29, pp. 1259-1267
dc.identifier.issn	1534-4320
dc.identifier.issn	1558-0210
dc.identifier.uri	http://hdl.handle.net/10453/155784
dc.description.abstract	It is common to believe that passengers are more adversely affected by motion sickness than drivers. However, no study has compared passengers and drivers' neural activities and drivers experiencing motion sickness (MS). Therefore, this study attempts to explore brain dynamics in motion sickness among passengers and drivers. Eighteen volunteers participated in simulating the driving winding road experiment while their subjective motion sickness levels and electroencephalogram (EEG) signals were simultaneously recorded. Independent Component Analysis (ICA) was employed to isolate MS-related independent components (ICs) from EEG. Furthermore, comodulation analysis was applied to decompose spectra of interest ICs, related to MS, to find the specific spectra-related temporally independent modulators (IMs). The results showed that passengers' alpha band (8-12 Hz) power increased in correlation with the MS level in the parietal, occipital midline and left and right motor areas, and drivers' alpha band (8-12 Hz) power showed relatively smaller increases than those in the passenger. Further, the results also indicate that the enhanced activation of alpha IMs in the passenger than the driver is due to a higher degree of motion sickness. In conclusion, compared to the driver, the passenger experience more conflicts among multimodal sensory systems and demand neuro-physiological regulation.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	http://purl.org/au-research/grants/arc/DP180100670
dc.relation	http://purl.org/au-research/grants/arc/DP180100656
dc.relation.ispartof	IEEE Transactions on Neural Systems and Rehabilitation Engineering
dc.relation.isbasedon	10.1109/tnsre.2021.3092876
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	This work is licensed under a Creative Commons Attribution 4.0 License
dc.subject	0903 Biomedical Engineering, 0906 Electrical and Electronic Engineering
dc.subject.classification	Biomedical Engineering
dc.subject.mesh	Automobile Driving
dc.subject.mesh	Brain
dc.subject.mesh	Electroencephalography
dc.subject.mesh	Humans
dc.subject.mesh	Motion Sickness
dc.subject.mesh	Motor Cortex
dc.subject.mesh	Brain
dc.subject.mesh	Motor Cortex
dc.subject.mesh	Humans
dc.subject.mesh	Motion Sickness
dc.subject.mesh	Electroencephalography
dc.subject.mesh	Automobile Driving
dc.title	Investigating brain activities and neural comodulations in motion sickness between passengers and drivers
dc.type	Journal Article
utslib.citation.volume	29
utslib.location.activity	United States
utslib.for	0903 Biomedical Engineering
utslib.for	0906 Electrical and Electronic Engineering
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/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	recently_added	*
pubs.consider-herdc	false
dc.date.updated	2022-03-31T05:37:17Z
pubs.publication-status	Published
pubs.volume	29

Abstract:

It is common to believe that passengers are more adversely affected by motion sickness than drivers. However, no study has compared passengers and drivers' neural activities and drivers experiencing motion sickness (MS). Therefore, this study attempts to explore brain dynamics in motion sickness among passengers and drivers. Eighteen volunteers participated in simulating the driving winding road experiment while their subjective motion sickness levels and electroencephalogram (EEG) signals were simultaneously recorded. Independent Component Analysis (ICA) was employed to isolate MS-related independent components (ICs) from EEG. Furthermore, comodulation analysis was applied to decompose spectra of interest ICs, related to MS, to find the specific spectra-related temporally independent modulators (IMs). The results showed that passengers' alpha band (8-12 Hz) power increased in correlation with the MS level in the parietal, occipital midline and left and right motor areas, and drivers' alpha band (8-12 Hz) power showed relatively smaller increases than those in the passenger. Further, the results also indicate that the enhanced activation of alpha IMs in the passenger than the driver is due to a higher degree of motion sickness. In conclusion, compared to the driver, the passenger experience more conflicts among multimodal sensory systems and demand neuro-physiological regulation.

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

http://hdl.handle.net/10453/155784