Dijk D J, Beersma D G, Daan S, Bloem G M, Van den Hoofdakker R H
Department of Biological Psychiatry, University of Groningen, The Netherlands.
Eur Arch Psychiatry Neurol Sci. 1987;236(6):323-8. doi: 10.1007/BF00377420.
The relation between EEG power density during slow wave sleep (SWS) deprivation and power density during subsequent sleep was investigated. Nine young male adults slept in the laboratory for 3 consecutive nights. Spectral analysis of the EEG on the 2nd (baseline) night revealed an exponential decline in mean EEG power density (0.25-15.0 Hz) over successive nonrapid eye movement--rapid eye movement sleep cycles. During the first 3 h of the 3rd night the subjects were deprived of SWS by means of acoustic stimuli, which did not induce wakefulness. During SWS deprivation an attenuation of EEG power densities was observed in the delta frequencies, as well as in the theta band. In the hours of sleep following SWS deprivation both the power densities in the frequency range from 1 to 7 Hz and the amount of SWS were enhanced, relative to the same period of the baseline night. Both the amount of EEG energy accumulating subsequent to SWS deprivation and its time course could be predicted accurately from the EEG energy deficit caused by SWS deprivation. The data show that the level of integral EEG power density during a certain period after sleep onset depends on the amount of EEG energy accumulated during the preceding sleep rather than on the time elapsed since sleep onset. In terms of the two-process model of sleep regulation (Borbély 1982; Daan et al. 1984) this finding indicates that EEG power density reflects the rate of decay of the regulating variable, S, rather than S itself, as was originally postulated.
研究了慢波睡眠(SWS)剥夺期间的脑电图功率密度与随后睡眠期间的功率密度之间的关系。九名年轻男性成年人在实验室连续睡了三晚。对第二晚(基线)脑电图的频谱分析显示,在连续的非快速眼动-快速眼动睡眠周期中,平均脑电图功率密度(0.25 - 15.0赫兹)呈指数下降。在第三晚的前3小时,通过不引起觉醒的听觉刺激剥夺受试者的慢波睡眠。在慢波睡眠剥夺期间,观察到δ频率以及θ波段的脑电图功率密度衰减。在慢波睡眠剥夺后的睡眠时段,相对于基线晚的同一时段,1至7赫兹频率范围内的功率密度以及慢波睡眠量均增加。慢波睡眠剥夺后积累的脑电图能量的量及其时间进程均可根据慢波睡眠剥夺引起的脑电图能量 deficit 准确预测。数据表明睡眠开始后某一时期的脑电图总功率密度水平取决于前一睡眠期间积累的脑电图能量的量,而非自睡眠开始后经过的时间。就睡眠调节的双过程模型(博尔贝利,1982;达恩等人,1984)而言,这一发现表明脑电图功率密度反映的是调节变量S的衰减速率,而非如最初假设的那样反映S本身。