| Spatial and temporal EEG dynamics of motion sickness. | |
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MedLine Citation:
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PMID: 19833217 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This study investigates motion-sickness-related brain responses using a VR-based driving simulator on a motion platform with six degrees of freedom, which provides both visual and vestibular stimulations to induce motion sickness in a manner that is close to that in daily life. Subjects' brain dynamics associated with motion sickness were measured using a 32-channel EEG system. Their degree of motion sickness was simultaneously and continuously reported using an onsite joystick, providing non-stop behavioral references to the recorded EEG changes. The acquired EEG signals were parsed by independent component analysis (ICA) into maximally independent processes. The decomposition enables the brain dynamics that are induced by the motion of the platform and motion sickness to be disassociated. Five MS-related brain processes with equivalent dipoles located in the left motor, the parietal, the right motor, the occipital and the occipital midline areas were consistently identified across all subjects. The parietal and motor components exhibited significant alpha power suppression in response to vestibular stimuli, while the occipital components exhibited MS-related power augmentation in mainly theta and delta bands; the occipital midline components exhibited a broadband power increase. Further, time series cross-correlation analysis was employed to evaluate relationships between the spectral changes associated with different brain processes and the degree of motion sickness. According to our results, it is suggested both visual and vestibular stimulations should be used to induce motion sickness in brain dynamic studies. |
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Authors:
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Yu-Chieh Chen; Jeng-Ren Duann; Shang-Wen Chuang; Chun-Ling Lin; Li-Wei Ko; Tzyy-Ping Jung; Chin-Teng Lin |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-10-13 |
Journal Detail:
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Title: NeuroImage Volume: 49 ISSN: 1095-9572 ISO Abbreviation: Neuroimage Publication Date: 2010 Feb |
Date Detail:
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Created Date: 2010-02-03 Completed Date: 2010-04-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: 2862-70 Citation Subset: IM |
Copyright Information:
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Copyright (c) 2009 Elsevier Inc. All rights reserved. |
Affiliation:
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Brain Research Center, University System of Taiwan, Hsinchu, Taiwan; Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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physiopathology* Brain Mapping* Electroencephalography Female Humans Male Motion Sickness / physiopathology* Signal Processing, Computer-Assisted Young Adult |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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