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唐氏综合征幼儿非周期性和周期性 EEG 活动的改变。

Alterations in aperiodic and periodic EEG activity in young children with Down syndrome.

机构信息

Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.

Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA.

出版信息

Neurobiol Dis. 2024 Oct 1;200:106643. doi: 10.1016/j.nbd.2024.106643. Epub 2024 Aug 20.

DOI:10.1016/j.nbd.2024.106643
PMID:39173846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11452906/
Abstract

Down syndrome (DS) is the most common cause of intellectual disability, yet little is known about the neurobiological pathways leading to cognitive impairments. Electroencephalographic (EEG) measures are commonly used to study neurodevelopmental disorders, but few studies have focused on young children with DS. Here we assess resting state EEG data collected from toddlers/preschoolers with DS (n = 29, age 13-48 months old) and compare their aperiodic and periodic EEG features with both age-matched (n = 29) and developmental-matched (n = 58) comparison groups. DS participants exhibited significantly reduced aperiodic slope, increased periodic theta power, and decreased alpha peak amplitude. A majority of DS participants displayed a prominent peak in the theta range, whereas a theta peak was not present in age-matched participants. Overall, similar findings were also observed when comparing DS and developmental-matched groups, suggesting that EEG differences are not explained by delayed cognitive ability.

摘要

唐氏综合征(DS)是智力障碍最常见的原因,但导致认知障碍的神经生物学途径知之甚少。脑电图(EEG)测量常用于研究神经发育障碍,但很少有研究关注患有 DS 的幼儿。在这里,我们评估了从患有 DS 的幼儿/学龄前儿童(n=29,年龄 13-48 个月)中收集的静息状态 EEG 数据,并将他们的非周期性和周期性 EEG 特征与年龄匹配(n=29)和发育匹配(n=58)的对照组进行比较。DS 参与者表现出明显降低的非周期性斜率、增加的周期性θ波功率和降低的α波峰值幅度。大多数 DS 参与者表现出明显的θ波峰值,而年龄匹配的参与者则没有θ波峰值。总的来说,当比较 DS 和发育匹配的组时,也观察到了类似的发现,这表明 EEG 差异不能用认知能力延迟来解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/1e4f6ade59b4/nihms-2022312-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/2122b868ff0c/nihms-2022312-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/4367d496dbba/nihms-2022312-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/69c0a5a5ac70/nihms-2022312-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/1e4f6ade59b4/nihms-2022312-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/2122b868ff0c/nihms-2022312-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/4367d496dbba/nihms-2022312-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/69c0a5a5ac70/nihms-2022312-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d769/11452906/1e4f6ade59b4/nihms-2022312-f0004.jpg

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Nat Commun. 2024 Jul 10;15(1):5788. doi: 10.1038/s41467-024-50204-4.
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EEG in Down Syndrome-A Review and Insights into Potential Neural Mechanisms.唐氏综合征中的脑电图——综述及对潜在神经机制的见解
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Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years.静息 EEG 的周期性和非周期性成分可预测 10 年内的认知能力下降。
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Early development of electrophysiological activity: Contribution of periodic and aperiodic components of the EEG signal.早期电生理活动的发展:脑电图信号的周期性和非周期性成分的贡献。
Psychophysiology. 2023 Nov;60(11):e14360. doi: 10.1111/psyp.14360. Epub 2023 Jun 15.
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