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dc.contributor.authorChuang, Shang-Wenen_US
dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorLin, Yuan-Pinen_US
dc.contributor.authorHuang, Ruey-Songen_US
dc.contributor.authorJung, Tzyy-Pingen_US
dc.contributor.authorLin, Chin-Tengen_US
dc.date.accessioned2014-12-08T15:24:03Z-
dc.date.available2014-12-08T15:24:03Z-
dc.date.issued2012-09-01en_US
dc.identifier.issn1053-8119en_US
dc.identifier.urihttp://hdl.handle.net/11536/16718-
dc.description.abstract"This study investigates the independent modulators that mediate the power spectra of electrophysiological processes, measured by electroencephalogram (EEG), in a sustained-attention experiment. EEG and behavioral data were collected during 1-2 hour virtual-reality based driving experiments in which subjects were instructed to maintain their cruising position and compensate for randomly induced drift using the steering wheel. Independent component analysis (ICA) applied to 30-channel EEG data separated the recorded EEG signals into a sum of maximally temporally independent components (ICs) for each of 30 subjects. Logarithmic spectra of resultant IC activities were then decomposed by principal component analysis, followed by ICA, to find spectrally fixed and temporally independent modulators (IM). Across subjects, the spectral ICA consistently found four performance-related independent modulators: delta, delta-theta, alpha, and beta modulators that multiplicatively affected the spectra of spatially distinct IC processes when the participants experienced waves of alternating alertness and drowsiness during long-hour simulated driving. The activation of the delta-theta modulator increased monotonically as subjects' task performances decreased. Furthermore, the time courses of the theta-beta modulator were highly correlated with concurrent changes in driving errors across subjects (r = 0.77 +/- 0.13). (c) 2012 Elsevier Inc. All rights reserved."en_US
dc.language.isoen_USen_US
dc.subjectEEGen_US
dc.subjectDrivingen_US
dc.subjectDrowsinessen_US
dc.subjectIndependent component analysis (ICA)en_US
dc.subjectNeuromodulatory systemen_US
dc.subjectBrain processen_US
dc.titleCo-modulatory spectral changes in independent brain processes are correlated with task performanceen_US
dc.typeArticleen_US
dc.identifier.journalNEUROIMAGEen_US
dc.citation.volume62en_US
dc.citation.issue3en_US
dc.citation.epage1469en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000307369000015-
dc.citation.woscount4-
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