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健康足月新生儿睡眠脑电图的周际变化。

Week-by-week changes in sleep EEG in healthy full-term newborns.

机构信息

Research Unit in Neurodevelopment, Institute of Neurobiology, National Autonomous University of Mexico, Querétaro.

Sleep Laboratory, Faculty of Psychology, National Autonomous University of Mexico, Mexico, Mexico.

出版信息

Sleep. 2020 Apr 15;43(4). doi: 10.1093/sleep/zsz261.

Abstract

UNLABELLED

Spectral analysis of neonatal sleep is useful for studying brain maturation; however, most studies have analyzed conventional broad bands described for awake adults, so a distinct approach for EEG analysis may disclose new findings.

STUDY OBJECTIVES

To extract independent EEG broad bands using principal component analysis (PCA) and describe week-by-week EEG changes in quiet sleep (QS) and active sleep (AS) during the first 5 weeks of postnatal life in healthy, full-term newborns.

METHODS

Polysomnography of spontaneous sleep was recorded in 60 newborns in 5 groups at 41, 42, 43, 44, and 45 weeks (n = 12 each) postconceptional age (POST-C). QS and AS stages were identified. Absolute power (AP) for 1 Hz bins between 1 and 30 Hz was subjected to PCA to extract independent broad bands.

RESULTS

PCA rendered three independent broad bands distinct from conventional bands. They explained 82.8% of variance: 2-10 Hz, 10-16 Hz, and 17-30 Hz. ANOVAs (group × age × derivations) showed significant higher power at 2-10 Hz with greater age, higher power in QS than AS in all three bands, and significantly higher AP in the left central region, and in the right occipital and temporal areas, in both sleep stages.

CONCLUSION

A different method of analyzing sleep EEG generated new information on brain maturation. The Sigma frequencies identified suggest that sleep spindle maturation begins by at least 41 weeks of POST-C age. Interhemispheric asymmetries during sleep suggest earlier development of the central left region and the right occipital and temporal areas.

摘要

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新生儿睡眠的频谱分析有助于研究大脑成熟;然而,大多数研究都是分析清醒成人描述的常规宽带,因此,一种独特的脑电图分析方法可能会揭示新的发现。

研究目的

使用主成分分析(PCA)提取独立的脑电图宽带,并描述健康足月新生儿出生后前 5 周安静睡眠(QS)和活跃睡眠(AS)的脑电图每周变化。

方法

对 60 名新生儿在 41、42、43、44 和 45 周(每组 12 名)受孕后年龄(POST-C)的 5 组中进行自发性睡眠的多导睡眠图记录。确定 QS 和 AS 阶段。对 1 至 30 Hz 之间的 1 Hz -bin 的绝对功率(AP)进行 PCA 以提取独立的宽带。

结果

PCA 生成了三个与常规宽带明显不同的独立宽带。它们解释了 82.8%的方差:2-10 Hz、10-16 Hz 和 17-30 Hz。方差分析(组×年龄×导程)显示,随着年龄的增长,2-10 Hz 的功率更高,在所有三个波段中,QS 的功率都高于 AS,左中央区域、右枕叶和颞叶区域在两个睡眠阶段的 AP 都显著升高。

结论

一种不同的睡眠脑电图分析方法提供了关于大脑成熟的新信息。确定的 Sigma 频率表明,睡眠纺锤体的成熟至少从 POST-C 年龄 41 周开始。睡眠期间的大脑左右半球不对称表明,左中央区域和右枕叶及颞叶区域的发育更早。

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