標題: Co-modulatory spectral changes in independent brain processes are correlated with task performance
作者: Chuang, Shang-Wen
Ko, Li-Wei
Lin, Yuan-Pin
Huang, Ruey-Song
Jung, Tzyy-Ping
Lin, Chin-Teng
生物科技學系
電機工程學系
Department of Biological Science and Technology
Department of Electrical and Computer Engineering
關鍵字: EEG;Driving;Drowsiness;Independent component analysis (ICA);Neuromodulatory system;Brain process
公開日期: 1-九月-2012
摘要: "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."
URI: http://hdl.handle.net/11536/16718
ISSN: 1053-8119
期刊: NEUROIMAGE
Volume: 62
Issue: 3
結束頁: 1469
顯示於類別:期刊論文


文件中的檔案:

  1. 000307369000015.pdf