Torsvall L, Akerstedt T
Department of Stress Research, Karolinska Institute, Stockholm, Sweden.
Int J Neurosci. 1988 Feb;38(3-4):435-41. doi: 10.3109/00207458808990704.
Our earlier research has shown considerable increases of and intercorrelations between subjective sleepiness, alpha, theta, and delta power density of the EEG as well as slow rolling eye movements (SEM) during night-time, monotonous work tasks. The purpose of the present methodological study was to establish EEG-EOG criteria for extreme behavioral sleepiness. Medilog tape-recorders were used to record EEG and EOG on 5 males and 5 females during a 45 min visual vigilance test. Performance on the test was also recorded on the tape as well as experimenter-scored dozing off episodes (from TV supervision). The EEG was subjected to computerized spectral analysis in 7.5 s epochs, and the EOG was scored visually for slow eye movements in the same epochs. The epochs immediately preceding a hit, miss and dozing off differed significantly. There was most power density in the alpha, theta and delta bands and most SEM activity before dozing off episodes and least before hits. The power density and the SEM activity were significantly increased one whole minute before dozing off events and missed signals compared to hits. Just prior to the ultimate sleepiness, i.e., the dozing off, the SEM activity and the delta and theta power density were further increased, while alpha power density was at its maximum during the last three epochs before the dozing off. The response patterns of all subjects were rather homogeneous. In conclusion, behavioral sleepiness is systematically reflected in spectral EEG and EOG parameters and the results support attempts to use these variables to indicate sleepiness in active subjects in real life situations.
我们早期的研究表明,在夜间单调的工作任务期间,主观嗜睡、脑电图的α、θ和δ功率密度以及缓慢滚动眼球运动(SEM)均有显著增加且相互关联。本方法学研究的目的是建立极端行为嗜睡的脑电图-眼电图标准。在一项45分钟的视觉警觉测试中,使用Medilog磁带录音机记录5名男性和5名女性的脑电图和眼电图。测试表现以及实验者记录的打瞌睡发作(通过电视监控)也记录在磁带上。脑电图以7.5秒的时间段进行计算机频谱分析,眼电图则在相同时间段内通过视觉对缓慢眼球运动进行评分。命中、未命中和打瞌睡之前的时间段有显著差异。在打瞌睡发作之前,α、θ和δ波段的功率密度以及SEM活动最多,而在命中之前最少。与命中相比,在打瞌睡事件和未命中信号前一整分钟,功率密度和SEM活动显著增加。就在极度嗜睡之前,即打瞌睡时,SEM活动以及δ和θ功率密度进一步增加,而α功率密度在打瞌睡前的最后三个时间段达到最大值。所有受试者的反应模式相当一致。总之,行为嗜睡在脑电图和眼电图频谱参数中得到系统反映,这些结果支持在现实生活情境中使用这些变量来指示活跃受试者的嗜睡情况的尝试。