微观状态分析反映了早产儿大脑的成熟。

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY
Brain Topography Pub Date : 2024-05-01 Epub Date: 2023-10-12 DOI:10.1007/s10548-023-01008-0
Tim Hermans, Mohammad Khazaei, Khadijeh Raeisi, Pierpaolo Croce, Gabriella Tamburro, Anneleen Dereymaeker, Maarten De Vos, Filippo Zappasodi, Silvia Comani
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引用次数: 0

摘要

由于大脑的自然发育受到干扰,早产新生儿有长期神经发育障碍的风险。脑电图(EEG)分析可以为早产儿的大脑发育提供见解。本研究旨在探索使用微观状态(MS)分析来评估神经发育结果正常的早产儿在成熟过程中的整体大脑动力学变化。该数据集包括从48名不同月经后年龄(26.4至47.7周)的新生儿身上获得的135个脑电图,分为四个年龄组。对于每次记录,我们在安静睡眠(QS)和非安静睡眠(NQS)期间提取了5分钟的历元,分为八组(4个年龄组x 2个睡眠状态)。我们使用组级映射比较了各组的MS映射和相应的(映射特定的)MS度量。此外,我们还调查了个别地图指标。四个组水平的MS图谱约占全局方差的70%,并显示出非随机语法。当新生儿达到37周时,MS的地形图和过渡发生了显著变化。对于睡眠状态和所有MS映射,MS持续时间随着年龄的增长而减少,发生率增加。使用个体图谱也发现了同样的关系,显示出个体图谱指标与月经后年龄之间的强相关性(Pearson系数高达0.74)。此外,个体MS序列的Hurst指数随着年龄的增长而下降。观察到的MS指标随年龄的变化可能反映了早产大脑的发育,其特征是神经网络的形成。因此,MS分析是监测早产新生儿大脑成熟度的一种很有前途的工具,而我们的研究可以为研究神经发育异常新生儿的脑电图提供有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microstate Analysis Reflects Maturation of the Preterm Brain.

Microstate Analysis Reflects Maturation of the Preterm Brain.

Preterm neonates are at risk of long-term neurodevelopmental impairments due to disruption of natural brain development. Electroencephalography (EEG) analysis can provide insights into brain development of preterm neonates. This study aims to explore the use of microstate (MS) analysis to evaluate global brain dynamics changes during maturation in preterm neonates with normal neurodevelopmental outcome.The dataset included 135 EEGs obtained from 48 neonates at varying postmenstrual ages (26.4 to 47.7 weeks), divided into four age groups. For each recording we extracted a 5-minute epoch during quiet sleep (QS) and during non-quiet sleep (NQS), resulting in eight groups (4 age group x 2 sleep states). We compared MS maps and corresponding (map-specific) MS metrics across groups using group-level maps. Additionally, we investigated individual map metrics.Four group-level MS maps accounted for approximately 70% of the global variance and showed non-random syntax. MS topographies and transitions changed significantly when neonates reached 37 weeks. For both sleep states and all MS maps, MS duration decreased and occurrence increased with age. The same relationships were found using individual maps, showing strong correlations (Pearson coefficients up to 0.74) between individual map metrics and post-menstrual age. Moreover, the Hurst exponent of the individual MS sequence decreased with age.The observed changes in MS metrics with age might reflect the development of the preterm brain, which is characterized by formation of neural networks. Therefore, MS analysis is a promising tool for monitoring preterm neonatal brain maturation, while our study can serve as a valuable reference for investigating EEGs of neonates with abnormal neurodevelopmental outcomes.

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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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