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中枢神经系统成熟的一个发育标志物:第一部分。

A developmental marker of central nervous system maturation: Part I.

作者信息

Scher M S

机构信息

Department of Pediatrics, University of Pittsburgh School of Medicine, Pennsylvania.

出版信息

Pediatr Neurol. 1988 Sep-Oct;4(5):265-73. doi: 10.1016/0887-8994(88)90064-1.

DOI:10.1016/0887-8994(88)90064-1
PMID:3072009
Abstract

Sleep is the predominant behavioral state of the neonate and the neurophysiologic expression of cerebral function during rapid brain growth and maturation that characterizes the neonatal period. The ontogeny of electroencephalographic (EEG) sleep in the neonate can be monitored by serial EEG/polygraphic recordings. A variety of physiologic markers accompany neonatal sleep, such as specific EEG patterns, rapid eye movements, arousals, autonomic signs, and body movements. These parameters vary in occurrence and abundance during different segments of the neonatal sleep cycle. Time-dependent interrelationships among these different physiologic components can be assessed by visual inspection of EEG recordings to monitor specific patterns that appear during one or more sleep cycles. Mathematical modeling and computer technologies permit the study of interactions among neurophysiologic signals which are not apparent by visual inspection. An understanding of biological rhythm relationships among different sleep events offers insights into the effects of extrauterine environment on the development of the central nervous system in the healthy preterm neonate and the disturbances in the sleep EEG rhythm in abnormal neonates. Sleep EEG analysis may be useful prognostically because "normalization" of abnormal EEG patterns often occurs following the initial acute illness. Suitable, normative data from very premature neonates are needed before pediatric neurologists can rely on neonatal EEG as an indicator of brain maturation in this low-birth weight group. An understanding of the biologic significance of the ontogeny of neonatal sleep, as well as the clinical significance of perturbations in this sleep cycle with disease, will lead to more reliable analyses of sleep physiology for research and clinical purposes.

摘要

睡眠是新生儿的主要行为状态,是大脑快速生长和成熟期间脑功能的神经生理表现,这是新生儿期的特征。新生儿脑电图(EEG)睡眠的个体发生可以通过连续的EEG/多导记录来监测。新生儿睡眠伴随着多种生理指标,如特定的EEG模式、快速眼动、觉醒、自主神经体征和身体运动。这些参数在新生儿睡眠周期的不同阶段出现的频率和丰富程度各不相同。通过目视检查EEG记录以监测在一个或多个睡眠周期中出现的特定模式,可以评估这些不同生理成分之间随时间的相互关系。数学建模和计算机技术允许研究通过目视检查不明显的神经生理信号之间的相互作用。了解不同睡眠事件之间的生物节律关系有助于深入了解宫外环境对健康早产儿中枢神经系统发育的影响以及异常新生儿睡眠EEG节律的紊乱。睡眠EEG分析在预后方面可能有用,因为异常EEG模式的“正常化”通常在最初的急性疾病后发生。在儿科神经科医生能够将新生儿EEG作为这个低出生体重组脑成熟的指标之前,需要来自极早产儿的合适的规范数据。了解新生儿睡眠个体发生的生物学意义以及这种睡眠周期紊乱与疾病的临床意义,将有助于为研究和临床目的更可靠地分析睡眠生理学。

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1
A developmental marker of central nervous system maturation: Part I.中枢神经系统成熟的一个发育标志物:第一部分。
Pediatr Neurol. 1988 Sep-Oct;4(5):265-73. doi: 10.1016/0887-8994(88)90064-1.
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Computer analyses of EEG-sleep in the neonate: methodological considerations.新生儿脑电图睡眠的计算机分析:方法学考量
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A developmental marker of central nervous system maturation: Part II.中枢神经系统成熟的一个发育标志物:第二部分。
Pediatr Neurol. 1988 Nov-Dec;4(6):329-36. doi: 10.1016/0887-8994(88)90078-1.
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Prediction of lower developmental performances of healthy neonates by neonatal EEG-sleep measures.通过新生儿脑电图睡眠测量预测健康新生儿较低的发育表现。
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