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婴儿非快速眼动睡眠期间脑电图同步化的趋势

Trends in electroencephalographic synchronization across nonrapid eye movement sleep in infants.

作者信息

Bes F, Fagioli I, Peirano P, Schulz H, Salzarulo P

机构信息

Labor für Klinische Psychophysiologie, Universitätsklinikum Rudolf Virchow, Freie Universität Berlin, Germany.

出版信息

Sleep. 1994 Jun;17(4):323-8.

PMID:7973315
Abstract

The trend of synchronized (high-voltage, low-frequency) electroencephalographic (EEG) activity was determined across nonrapid eye movement (NREM) sleep periods of night sleep in two groups of infants (eight "young infants", age 2-19 weeks; eight "older infants", age 21-54 weeks) and, a reference, in a group of eight adults (age 16-45 years). By automatic analysis of the sleep EEG, a parameter was derived that represents the degree of synchronized (high-amplitude, low-frequency) EEG activity for successive 30-second epochs. For each subject, the average level of EEG synchronization for each NREM period and the time of the NREM period midpoints were determined. In all three groups, synchronized EEG activity tended to decrease across successive NREM periods. This trend was weaker for infants than for adults and, surprisingly, weaker for older than for young infants. This suggests that the decreasing trend typical for adults is already present in the first months after birth. The difference in trend between infants and adults may be caused by differences in the 24-hour sleep-wakefulness distribution, whereas the distinction between young and older infants could be related to a restructuring of sleep in the second semester, in particular to the emergence of slow-wave sleep and its peculiar distribution across NREM periods of night sleep.

摘要

在两组婴儿(八名“小婴儿”,年龄2至19周;八名“大婴儿”,年龄21至54周)夜间睡眠的非快速眼动(NREM)睡眠阶段,以及作为对照的一组八名成年人(年龄16至45岁)中,确定了同步(高电压、低频)脑电图(EEG)活动的趋势。通过对睡眠脑电图的自动分析,得出了一个参数,该参数代表连续30秒时间段内同步(高振幅、低频)脑电图活动的程度。对于每个受试者,确定了每个NREM睡眠阶段脑电图同步的平均水平以及NREM睡眠阶段中点的时间。在所有三组中,同步脑电图活动在连续的NREM睡眠阶段中都有下降的趋势。这种趋势在婴儿中比在成年人中更弱,而且令人惊讶的是,在大婴儿中比在小婴儿中更弱。这表明成年人典型的下降趋势在出生后的头几个月就已经存在。婴儿和成年人之间趋势的差异可能是由24小时睡眠-觉醒分布的差异引起的,而小婴儿和大婴儿之间的区别可能与第二学期睡眠结构的重组有关,特别是与慢波睡眠的出现及其在夜间睡眠NREM阶段的特殊分布有关。

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Expert-system classification of sleep/waking states in infants.婴儿睡眠/觉醒状态的专家系统分类
Med Biol Eng Comput. 1999 Jul;37(4):466-76. doi: 10.1007/BF02513332.