Scher M S
Department of Pediatrics, University of Pittsburgh School of Medicine, Magee-Womens Hospital 15213, USA.
Semin Pediatr Neurol. 1996 Mar;3(1):2-12. doi: 10.1016/s1071-9091(96)80023-4.
Maturational changes occur in electroencephalogram (EEG)-sleep patterns for the neonate from preterm to fullterm postconceptional age. Electrical maturity of the neonatal brain is correlated within 1 to 2 weeks of other criteria for gestational maturity. Proper recording techniques of EEG-sleep studies in neonates will ensure accurate documentation of both cerebral and noncerebral parameters. Before 36 weeks postconceptional age (PCA), recognition of specific electrographic patterns are used to identify neonates of different PCAs. Following 36 weeks PCA, concordance between cerebral and noncerebral physiological behaviors are more predictable of neonatal EEG-sleep segments; this phenomena is independent of intrauterine or extrauterine development. Computer-assisted analyses of EEG sleep complement visual inspection by better characterizing relationships among EEG-sleep behaviors. Such analyses have documented group differences between preterm and fullterm infants of comparable postconceptional ages, suggesting adaptation of brain function to conditions of prematurity. Recognition of neonatal EEG-sleep patterns facilitate both an understanding of functional brain ontogeny and a recognition of pattern disturbances that underlie pathological or stressful conditions.
从早产到孕龄足月,新生儿脑电图(EEG)睡眠模式会发生成熟变化。新生儿大脑的电成熟度与孕龄成熟度的其他标准在1至2周内相关。新生儿EEG睡眠研究的正确记录技术将确保准确记录大脑和非大脑参数。在孕龄(PCA)36周之前,识别特定的脑电图模式用于识别不同PCA的新生儿。PCA 36周之后,大脑和非大脑生理行为之间的一致性对新生儿EEG睡眠段的预测性更强;这种现象与宫内或宫外发育无关。EEG睡眠的计算机辅助分析通过更好地表征EEG睡眠行为之间的关系来补充视觉检查。此类分析记录了孕龄相当的早产和足月婴儿之间的组间差异,表明大脑功能对早产状况的适应性。识别新生儿EEG睡眠模式有助于理解大脑功能个体发育,也有助于识别病理或应激状况下的模式紊乱。