Fagioli I, Salzarulo P
Dipartimento di Teoria, Storia e Ricerca Sociale, Università di Trento, Italy.
Behav Brain Res. 1998 Mar;91(1-2):23-8. doi: 10.1016/s0166-4328(97)00098-3.
To ascertain the role of spontaneous nocturnal waking duration on the EEG dynamics during quiet sleep (QS) periods, we analysed the nocturnal polygraphic recordings of 12 infants aged 9 47 weeks old. Their sleep was characterised by two sleep episodes, separated by spontaneous waking and containing at least two QS-paradoxical sleep (PS) cycles each. Automatic analysis of the EEG activity recorded by the centro-occipital lead and reflecting the degree of synchronisation allowed us to compute a parameter whose values ranged from 0 (maximum of EEG synchronisation) to 10 (maximum of EEG de-synchronisation). Three indicators of the time course of the parameter value were computed during the first QS period of the sleep episode subsequent to nocturnal waking: (i) the parameter range (difference between the EEG parameter value at the QS onset and that at the trough-maximum of EEG synchronisation); (ii) the trough latency (time interval between QS onset and trough); and (iii) rate of synchronisation (range/trough latency). These three indicators were the dependent variables in a multiple regression model, where the independent variables were age and the logarithm of the duration of prior waking. The parameter range was correlated with the duration of prior waking. Both the trough latency and the rate of synchronisation were correlated with age only, respectively, positively and negatively. The marked decline in the rate of synchronisation throughout the first year of life could account for the failure to find a significant correlation between prior waking and the above indicator of the EEG dynamics. The relationship between the duration of prior waking and the parameter range in following sleep in infants supports the hypothesis of the early emergence of the homeostatic regulation of sleep.
为了确定夜间自发觉醒持续时间对安静睡眠(QS)期间脑电图动态变化的作用,我们分析了12名年龄在9至47周的婴儿的夜间多导睡眠记录。他们的睡眠特点是有两个睡眠阶段,中间被自发觉醒隔开,且每个阶段至少包含两个QS-快速眼动睡眠(PS)周期。通过对中央枕部导联记录的脑电图活动进行自动分析,该活动反映了同步程度,使我们能够计算出一个参数,其值范围从0(脑电图最大同步)到10(脑电图最大去同步)。在夜间觉醒后的睡眠阶段的第一个QS期间,计算了该参数值随时间变化的三个指标:(i)参数范围(QS开始时的脑电图参数值与脑电图同步波谷最大值时的参数值之差);(ii)波谷潜伏期(QS开始到波谷的时间间隔);(iii)同步率(范围/波谷潜伏期)。这三个指标是多元回归模型中的因变量,其中自变量是年龄和先前觉醒持续时间的对数。参数范围与先前觉醒的持续时间相关。波谷潜伏期和同步率分别仅与年龄相关,前者呈正相关,后者呈负相关。在生命的第一年中同步率的显著下降可以解释为什么在先前觉醒与上述脑电图动态指标之间未发现显著相关性。婴儿先前觉醒持续时间与随后睡眠中参数范围之间的关系支持了睡眠稳态调节早期出现的假设。