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Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants
Pediatric Research ( IF 3.1 ) Pub Date : 2019-12-10 , DOI: 10.1038/s41390-019-0693-0
José R Castro Conde 1, 2 , Candelaria González Campo 2 , Nieves L González González 1, 3 , Beatriz Reyes Millán 4 , Desiré González Barrios 5 , Alejandro Jiménez Sosa 6 , Itziar Quintero Fuentes 7
Affiliation  

BACKGROUND Delayed brain function development in small-gestational-age (SGA) infants has been reported. We aimed to quantify rates of immature neonatal EEG patterns and their association with neurodevelopment in SGA full-term neonates. METHODS Using a cohort design, 50 SGA (birthweight <10th percentile) and 44 appropriate-gestational-age (AGA) term neonates underwent continuous video-EEG recordings lasting >3 h. Seventy-three of them were assessed at 2-years-old using Bayley-III-Scales. For EEG analysis, several segments of discontinuous/alternating EEG tracings were selected. MAIN OUTCOMES MEASURED (1) Visual analysis (patterns of EEG maturity); (2) Power spectrum in δ, θ, α and β frequency bands; and (3) scores in motor, cognitive and language development. RESULTS (1) SGA infants, compared to AGA, showed: (a) higher percentages of discontinuous EEG, both asynchrony and interhemispheric asymmetry, and bursts with delta-brushes, longer interburst-interval duration and more transients/hour; (b) lower relative power spectrum in δ and higher in α; and (c) lower scores on motor, language and cognitive neurodevelopment. (2) Asymmetry >5%, interburst-interval >5 s, discontinuity >11%, and bursts with delta-brushes >11% were associated with lower scores on Bayley-III. CONCLUSIONS In this prospective study, SGA full-term neonates showed high rates of immature EEG patterns. Low-birthweight and immaturity EEG were both correlated with low development scores.

中文翻译:

足月小胎龄儿新生儿脑电图背景及神经发育评估

背景已经报道了小胎龄 (SGA) 婴儿的脑功能发育延迟。我们旨在量化 SGA 足月新生儿未成熟新生儿 EEG 模式的发生率及其与神经发育的关联。方法 使用队列设计,50 名 SGA(出生体重 <10%)和 44 名适龄 (AGA) 足月新生儿接受了持续时间 > 3 小时的连续视频脑电图记录。其中 73 人在 2 岁时使用 Bayley-III-Scales 进行评估。对于 EEG 分析,选择了不连续/交替 EEG 跟踪的几个部分。主要测量结果 (1) 视觉分析(脑电图成熟度模式);(2) δ、θ、α、β频段的功率谱;(3) 运动、认知和语言发展的分数。结果 (1) 与 AGA 相比,SGA 婴儿显示:(a) 更高百分比的不连续 EEG,包括异步和半球间不对称性,以及 delta-brush 的爆发、更长的爆发间隔持续时间和更多的瞬态/小时;(b) δ 中的相对功率谱较低,α 中的相对功率谱较高;(c) 在运动、语言和认知神经发育方面的得分较低。(2) 不对称性 >5%、爆发间隔 >5 s、不连续性 >11% 和 delta-brushs 爆发 >11% 与 Bayley-III 的较低分数相关。结论 在这项前瞻性研究中,SGA 足月新生儿的脑电图未成熟率很高。低出生体重和未成熟脑电图均与低发育评分相关。(b) δ 中的相对功率谱较低,α 中的相对功率谱较高;(c) 在运动、语言和认知神经发育方面的得分较低。(2) 不对称性 >5%、爆发间隔 >5 s、不连续性 >11% 和 delta-brushs 爆发 >11% 与 Bayley-III 的较低分数相关。结论 在这项前瞻性研究中,SGA 足月新生儿的脑电图未成熟率很高。低出生体重和未成熟脑电图均与低发育评分相关。(b) δ 中的相对功率谱较低,α 中的相对功率谱较高;(c) 在运动、语言和认知神经发育方面的得分较低。(2) 不对称性 >5%、爆发间隔 >5 s、不连续性 >11% 和 delta-brushs 爆发 >11% 与 Bayley-III 的较低分数相关。结论 在这项前瞻性研究中,SGA 足月新生儿的脑电图未成熟率很高。低出生体重和未成熟脑电图均与低发育评分相关。
更新日期:2019-12-10
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