Co-modulatory spectral changes in independent brain processes are correlated with task performance
Co-modulatory spectral changes in independent brain processes are correlated with task performance
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DOI：
10.1016/j.neuroimage.2012.05.035
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发表时间：
2012-09-01
期刊：
影响因子：
5.7
通讯作者：
Lin, Chin-Teng
中科院分区：
文献类型：
--
作者：
Chuang, Shang-Wen;Ko, Li-Wei;Lin, Chin-Teng
本研究探讨了在持续注意实验中介导脑电功率谱的独立调制器。在1-2小时的基于虚拟现实的驾驶实验期间收集EEG和行为数据，其中受试者被指示保持其巡航位置并使用方向盘补偿随机引起的漂移。独立分量分析（伊卡）应用于30通道EEG数据分离记录的EEG信号的总和的最大时间独立的成分（IC）为30名受试者。对数谱所得IC活动，然后分解的主成分分析，其次是伊卡，找到光谱固定和时间独立的调制器（IM）。在受试者中，光谱伊卡始终发现四种与性能相关的独立调制器：δ，δ-θ，α和β调制器，当参与者在长时间模拟驾驶期间经历交替的警觉和困倦波时，这些调制器成倍地影响空间上不同的IC过程的光谱。当受试者的任务表现下降时，delta-theta调制器的激活单调增加。此外，θ-β调节剂的时间过程与受试者之间驾驶错误的同时变化高度相关（r = 0.77 +/- 0.13）。(c)2012 Elsevier Inc. All rights reserved.
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.