EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses

Chuang, SW; Chuang, CH; Yu, YH; King, JT; Lin, CT

EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses

Chuang, SW Chuang, CH

Yu, YH King, JT Lin, CT

Permalink

Publication Type:: Journal Article
Citation:: International Journal of Neural Systems, 2016, 26 (2)
Issue Date:: 2016-03-01

Closed Access

	Filename	Description	Size
	s0129065716500076.pdf	Published Version	1.15 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Chuang, SW	en_US
dc.contributor.author	Chuang, CH https://orcid.org/0000-0002-5043-8380	en_US
dc.contributor.author	Yu, YH	en_US
dc.contributor.author	King, JT	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.date.issued	2016-03-01	en_US
dc.identifier.citation	International Journal of Neural Systems, 2016, 26 (2)	en_US
dc.identifier.issn	0129-0657	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43830
dc.description.abstract	© World Scientific Publishing Company. Motion sickness (MS) is a common experience of travelers. To provide insights into brain dynamics associated with MS, this study recruited 19 subjects to participate in an electroencephalogram (EEG) experiment in a virtual-reality driving environment. When riding on consecutive winding roads, subjects experienced postural instability and sensory conflict between visual and vestibular stimuli. Meanwhile, subjects rated their level of MS on a six-point scale. Independent component analysis (ICA) was used to separate the filtered EEG signals into maximally temporally independent components (ICs). Then, reduced logarithmic spectra of ICs of interest, using principal component analysis, were decomposed by ICA again to find spectrally fixed and temporally independent modulators (IMs). Results demonstrated that a higher degree of MS accompanied increased activation of alpha (r = 0.421) and gamma (r = 0.478) IMs across remote-independent brain processes, covering motor, parietal and occipital areas. This co-modulatory spectral change in alpha and gamma bands revealed the neurophysiological demand to regulate conflicts among multi-modal sensory systems during MS.	en_US
dc.relation.ispartof	International Journal of Neural Systems	en_US
dc.relation.isbasedon	10.1142/S0129065716500076	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Motion Sickness	en_US
dc.subject.mesh	Electroencephalography	en_US
dc.subject.mesh	Alpha Rhythm	en_US
dc.subject.mesh	Automobile Driving	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Gamma Rhythm	en_US
dc.title	EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	26	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	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/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	26	en_US

Abstract:

© World Scientific Publishing Company. Motion sickness (MS) is a common experience of travelers. To provide insights into brain dynamics associated with MS, this study recruited 19 subjects to participate in an electroencephalogram (EEG) experiment in a virtual-reality driving environment. When riding on consecutive winding roads, subjects experienced postural instability and sensory conflict between visual and vestibular stimuli. Meanwhile, subjects rated their level of MS on a six-point scale. Independent component analysis (ICA) was used to separate the filtered EEG signals into maximally temporally independent components (ICs). Then, reduced logarithmic spectra of ICs of interest, using principal component analysis, were decomposed by ICA again to find spectrally fixed and temporally independent modulators (IMs). Results demonstrated that a higher degree of MS accompanied increased activation of alpha (r = 0.421) and gamma (r = 0.478) IMs across remote-independent brain processes, covering motor, parietal and occipital areas. This co-modulatory spectral change in alpha and gamma bands revealed the neurophysiological demand to regulate conflicts among multi-modal sensory systems during MS.

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

http://hdl.handle.net/10453/43318