Scheuler W, Rappelsberger P, Schmatz F, Pastelak-Price C, Petsche H, Kubicki S
Department of Clinical Neurophysiology, Free University Berlin, Germany.
Electroencephalogr Clin Neurophysiol. 1990 Sep;76(3):222-34. doi: 10.1016/0013-4694(90)90017-e.
To investigate the temporal organization of EEG sleep activity in the second and minute ranges we developed a method which, based on Fourier transformation, allows the presentation of periodic oscillations of spectral power and coherence. The application of this method is demonstrated in 3 subjects with different types of alpha activity during sleep: (a) alpha-sleep pattern (a physiological variant of NREM sleep activity); (b) abnormally increased arousal alpha activity. The results show that differences in the temporal organization of these alpha activities can be determined with the following parameters: period length, duration of sequences with periodic activity, number and rate of these sequences, and proportion of periodicities generated simultaneously in the left and right hemispheres. The physiologically modulated periodicities of the alpha-sleep pattern are contrary to a stereotyped 40-60 sec periodicity of abnormal arousal alpha activity. Such abnormal periodicity corresponds to periodicities occurring in association with other sleep disturbances, such as sleep apnea or periodic movements in sleep. Periodicity analysis gives additional criteria for a more refined evaluation of normal as well as abnormal sleep structure.
为了研究脑电图睡眠活动在秒和分钟范围内的时间组织，我们开发了一种基于傅里叶变换的方法，该方法能够呈现频谱功率和相干性的周期性振荡。此方法的应用在3名睡眠期间具有不同类型α活动的受试者中得到了验证：（a）α睡眠模式（非快速眼动睡眠活动的一种生理变体）；（b）异常增强的觉醒α活动。结果表明，这些α活动在时间组织上的差异可以通过以下参数来确定：周期长度、周期性活动序列的持续时间、这些序列的数量和频率，以及左右半球同时产生的周期性比例。α睡眠模式的生理调节周期性与异常觉醒α活动的刻板40 - 60秒周期性相反。这种异常周期性与其他睡眠障碍（如睡眠呼吸暂停或睡眠中的周期性运动）相关的周期性相对应。周期性分析为更精确地评估正常和异常睡眠结构提供了额外的标准。
