新生儿和幼儿脑电图(EEG)中妊娠期和出生后年龄相关的非周期和周期参数变化。

IF 3.5 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2025-01-07 DOI:10.1002/hbm.70130
Silja Luotonen, Henry Railo, Henriette Acosta, Minna Huotilainen, Maria Lavonius, Linnea Karlsson, Hasse Karlsson, Jetro J. Tuulari
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引用次数: 0

摘要

大脑在怀孕和新生儿早期发育最快。虽然先前的电生理学研究表明,从婴儿期到成年期,非周期大脑活动经历了变化,但妊娠期在非周期和周期活动中的作用仍不清楚。在这项研究中,我们旨在通过检查新生儿和幼儿的脑电图功率谱中妊娠持续时间与非周期性和周期性活动之间的关系来弥合这一差距。这项横断面研究包括来自FinnBrain出生队列研究的73名新生儿(出生后1-5天,40名女性)和56名幼儿(出生后2.9-3.2岁,28名女性)的脑电图数据。利用SpecParam工具将脑电功率谱参数化为周期和非周期分量。我们测试了新生儿和幼儿的妊娠期、出生后年龄和SpecParam参数之间的关系,同时将出生体重和儿童性别作为协变量。对于新生儿,考虑到不同的数据获取(睡眠和听觉范式+睡眠),采用多层次模型,而对于幼儿,由于只有听觉范式的数据可用,使用回归模型。我们发现,在新生儿和幼儿中,妊娠期越长,脑电图频率的功率谱越陡。影响在幼儿中尤其强烈(β = 0.45, p = 0.004),而在新生儿中,它仍然几乎具有统计学意义(p = 0.061)。在新生儿中,发现妊娠期与β中心频率(12.5-30 Hz)呈二次相关。在蹒跚学步的幼儿中,女性的中心频率总体上高于男性。偏移量(以2.5 Hz的非周期曲线的功率计算)和θ中心频率与新生儿的出生年龄呈负相关,但与幼儿无关。我们的研究结果表明,妊娠期可能对大脑生理有显著且相对持久的影响。这些变化可能带来的行为和认知后果是未来研究的诱人主题。
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Gestational Duration and Postnatal Age-Related Changes in Aperiodic and Periodic Parameters in Neonatal and Toddler Electroencephalogram (EEG)

The brain develops most rapidly during pregnancy and early neonatal months. While prior electrophysiological studies have shown that aperiodic brain activity undergoes changes across infancy to adulthood, the role of gestational duration in aperiodic and periodic activity remains unknown. In this study, we aimed to bridge this gap by examining the associations between gestational duration and aperiodic and periodic activity in the EEG power spectrum in both neonates and toddlers. This cross-sectional study involved EEG data from 73 neonates (postnatal age 1–5 days, 40 females) and 56 toddlers (postnatal age of 2.9–3.2 years, 28 females) from the FinnBrain Birth Cohort Study. EEG power spectra were parameterized to aperiodic and periodic components using the SpecParam tool. We tested the associations between gestational duration as well as postnatal age and SpecParam parameters in neonates and toddlers while including birth weight and child sex as covariates. For neonates, multilevel models were employed, considering different data acquisitions (sleep and auditory paradigm + sleep), while in toddlers, regression models were used as only data from the auditory paradigm was available. We found that longer gestational duration was associated with a steeper power spectrum across EEG frequencies both in neonates and toddlers. Effect was especially strong in toddlers (β = 0.45, p = 0.004), while in neonates, it remained nearly statistically significant (p = 0.061). In neonates, a quadratic association between gestational duration and beta center frequency (12.5–30 Hz) was found. In toddlers, beta center frequencies were overall higher in females compared to males. Offset (calculated as the power of the aperiodic curve at 2.5 Hz) and theta center frequency had negative associations with postnatal age in neonates, but not in toddlers.

Our results suggest that gestational duration may have significant and relatively long-lasting effects on brain physiology. The possible behavioral and cognitive consequences of these changes are enticing topics for future research.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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