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自闭症谱系障碍学龄前儿童的睡眠纺锤波异常:午睡多导睡眠图的见解

Sleep Spindle Abnormalities in Preschool Children With Autism Spectrum Disability: Insights From Nap Polysomnography.

作者信息

D'Ambrosio Sasha, Gualandris Daniele, Caputo Davide, Donati Francesco, Mayeli Ahmad, Del Giudice Renata, Ferrarelli Fabio, Mingarelli Alessia, Raviglione Federico, Canevini Maria Paola, D'Agostino Armando

机构信息

Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

Department of Clinical and Experimental Epilepsy, University College London, London, UK.

出版信息

Autism Res. 2025 Jul 23. doi: 10.1002/aur.70087.

Abstract

Sigma power and sleep spindles are key elements of Non-Rapid Eye Movement (NREM) sleep. They reflect anatomical and physiological properties of brain circuits, are linked with various behavioral outcomes in typically development (TD) children, and undergo significant modifications during development. Furthermore, recent studies have highlighted the potential of NREM sigma power and sleep spindles as early neurophysiological markers for autism spectrum disability (ASD). Here, we conducted polysomnography (PSG)/EEG recordings during afternoon naps on 50 children aged between 2 and 6 years, diagnosed with ASD or TD. EEG recordings from 19 scalp leads were analyzed, focusing on sigma power and sleep spindle parameters. EEG analyses revealed significant differences in power spectral density between ASD and TD children, particularly in the sigma band and adjacent alpha and beta bands, with increased power localized to anterior EEG leads in ASD children. Higher spindle amplitude and integrated spindle activity (ISA) were found in the ASD group, especially in frontal regions. Additional frequency-specific analyses (10-12 Hz, 12-14 Hz, 14-16 Hz) confirmed significant differences in spindle amplitude and distribution patterns, emphasizing the role of brain regions that are detectable from anterior EEG leads in ASD-related sleep abnormalities. No significant differences were found in spindle density, duration, or frequency outside specific clusters. These findings indicate that some sleep spindle parameters, particularly in frontal areas, are altered in ASD. The study highlights the feasibility of using afternoon nap PSG as a practical and effective method to detect these abnormalities in clinical settings. Future research should investigate the developmental trajectory of spindles in ASD and their potential role as neurophysiological biomarkers, offering valuable insights for diagnosis and prognosis.

摘要

西格玛功率和睡眠纺锤波是非快速眼动(NREM)睡眠的关键要素。它们反映了脑回路的解剖学和生理学特性,与典型发育(TD)儿童的各种行为结果相关,并在发育过程中发生显著变化。此外,最近的研究强调了NREM西格玛功率和睡眠纺锤波作为自闭症谱系障碍(ASD)早期神经生理学标志物的潜力。在此,我们对50名2至6岁被诊断为ASD或TD的儿童进行了午睡期间的多导睡眠图(PSG)/脑电图(EEG)记录。分析了来自19个头皮导联的EEG记录,重点关注西格玛功率和睡眠纺锤波参数。EEG分析显示,ASD儿童和TD儿童在功率谱密度上存在显著差异,特别是在西格玛频段以及相邻的阿尔法和贝塔频段,ASD儿童在前部EEG导联处的功率增加。在ASD组中发现更高的纺锤波振幅和综合纺锤波活动(ISA),尤其是在额叶区域。额外的特定频率分析(10 - 12赫兹、12 - 14赫兹、14 - 16赫兹)证实了纺锤波振幅和分布模式的显著差异,强调了从ASD相关睡眠异常的前部EEG导联可检测到的脑区的作用。在特定集群之外,纺锤波密度、持续时间或频率未发现显著差异。这些发现表明,ASD中一些睡眠纺锤波参数,特别是在额叶区域,发生了改变。该研究强调了使用午睡PSG作为在临床环境中检测这些异常的实用且有效方法的可行性。未来的研究应调查ASD中纺锤波的发育轨迹及其作为神经生理学生物标志物的潜在作用,为诊断和预后提供有价值的见解。

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