Myers M M, Fifer W P, Grose-Fifer J, Sahni R, Stark R I, Schulze K F
Division of Developmental Psychobiology, New York State Psychiatric Institute, New York 10032, USA.
Dev Psychobiol. 1997 Nov;31(3):167-74. doi: 10.1002/(sici)1098-2302(199711)31:3<167::aid-dev1>3.0.co;2-q.
This study describes the application of a novel quantitative method for classifying patterns of EEG activity that are associated with the predominant sleep-states of newborn infants. Periods in which there are bursts of high-voltage slow wave activity in the EEG that alternate with periods of low-voltage activity are termed Tracé-alternant. During active or REM sleep. Tracé-alternant is absent and EEG activity is characterized by a variable mixture of frequencies including intermittent high frequency (10-20 Hz) activity superimposed on slower frequencies. Results show that an analytic method previously developed in fetal baboons for identifying EEG segments with and without Tracé-alternant successfully distinguishes homologous patterns of EEG activity in preterm infants. This method provides an excellent objective approach for monitoring changes in EEG patterns that are coincident with behaviorally defined sleep states.
本研究描述了一种新型定量方法的应用,该方法用于对与新生儿主要睡眠状态相关的脑电图(EEG)活动模式进行分类。脑电图中出现高压慢波活动爆发并与低压活动期交替出现的时期被称为交替图型。在主动睡眠或快速眼动(REM)睡眠期间,交替图型不存在,脑电图活动的特征是频率的可变混合,包括叠加在较慢频率上的间歇性高频(10 - 20赫兹)活动。结果表明,先前在胎儿狒狒中开发的一种用于识别有无交替图型的脑电图段的分析方法,成功地区分了早产儿脑电图活动的同源模式。该方法为监测与行为定义的睡眠状态一致的脑电图模式变化提供了一种出色的客观方法。