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通过连续五天的记录对正常新生儿脑电图随孕周变化进行量化分析。

Quantification of changes in normal neonatal EEGs with gestation from continuous five-day recordings.

作者信息

Eyre J A, Nanei S, Wilkinson A R

机构信息

Department of Child Health, University of Newcastle upon Tyne.

出版信息

Dev Med Child Neurol. 1988 Oct;30(5):599-607. doi: 10.1111/j.1469-8749.1988.tb04797.x.

DOI:10.1111/j.1469-8749.1988.tb04797.x
PMID:3229557
Abstract

To quantify changes in the pattern of the electroencephalogram (EEG) in relation to gestational age, a continuous two-channel record of the EEG with electrocardiogram (ECG) and respiration was made for the first five days after birth. 25 healthy babies with gestational ages of 26 to 42 weeks were studied. All were developmentally normal when assessed at 18 months. The EEG was divided into two distinct patterns; trace-alternant activity and continuous activity. The duration of trace-alternant activity and the mean duration of each epoch of trace-alternant activity decreased with increasing gestational age. Epochs of continuous activity increased in duration with increasing gestational age. Within epochs of trace-alternant activity the duration of each burst was independent of gestational age, but the mean inter-burst interval and the maximum voltage of slow-wave decreased with increasing gestational age. Analysis of variance showed all changes in relation to gestational age to be significant.

摘要

为了量化脑电图(EEG)模式相对于胎龄的变化,在出生后的头五天对EEG进行了连续两通道记录,并同时记录心电图(ECG)和呼吸情况。对25名胎龄在26至42周的健康婴儿进行了研究。在18个月大时评估,所有婴儿发育均正常。EEG被分为两种不同模式:交替性活动和持续性活动。交替性活动的持续时间以及每个交替性活动时段的平均持续时间随胎龄增加而减少。持续性活动时段的持续时间随胎龄增加而增加。在交替性活动时段内,每次爆发的持续时间与胎龄无关,但平均爆发间隔和慢波的最大电压随胎龄增加而降低。方差分析表明,所有与胎龄相关的变化均具有显著性。

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引用本文的文献

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Background electroencephalographic (EEG) activities of very preterm infants born at less than 27 weeks gestation: a study on the degree of continuity.孕27周前出生的极早产儿的背景脑电图(EEG)活动:连续性程度的研究
Arch Dis Child Fetal Neonatal Ed. 2001 May;84(3):F163-7. doi: 10.1136/fn.84.3.f163.
2
Developmental characteristics of topographic EEG in the newborn using an autoregressive model.
Brain Topogr. 1991 Fall;4(1):23-30. doi: 10.1007/BF01129662.