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本文引用的文献

1
Neuropsychological profile in high functioning autism spectrum disorders.高功能自闭症谱系障碍的神经心理学特征。
J Autism Dev Disord. 2013 Aug;43(8):1895-909. doi: 10.1007/s10803-012-1736-0.
2
White matter connectivity in children with autism spectrum disorders: a tract-based spatial statistics study.自闭症谱系障碍儿童的白质连通性:基于束的空间统计学研究。
BMC Neurol. 2012 Nov 29;12:148. doi: 10.1186/1471-2377-12-148.
3
Investigating phenotypic heterogeneity in children with autism spectrum disorder: a factor mixture modeling approach.探讨自闭症谱系障碍儿童的表型异质性:因素混合建模方法。
J Child Psychol Psychiatry. 2013 Feb;54(2):206-15. doi: 10.1111/j.1469-7610.2012.02588.x. Epub 2012 Aug 1.
4
Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.静息态 EEG 功率的发展轨迹:自闭症谱系障碍的内表型。
PLoS One. 2012;7(6):e39127. doi: 10.1371/journal.pone.0039127. Epub 2012 Jun 20.
5
A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study.脑电图频谱相干的稳定模式可区分自闭症儿童与神经典型对照 - 一项大型病例对照研究。
BMC Med. 2012 Jun 26;10:64. doi: 10.1186/1741-7015-10-64.
6
Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008.自闭症谱系障碍的流行率——自闭症及发展障碍监测网络,美国 14 个监测点,2008 年。
MMWR Surveill Summ. 2012 Mar 30;61(3):1-19.
7
Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder.自闭症谱系障碍中的区域性 EEGα 功率、相干性和行为症状学。
Clin Neurophysiol. 2012 Sep;123(9):1798-809. doi: 10.1016/j.clinph.2012.02.061. Epub 2012 Mar 9.
8
A review of research trends in physiological abnormalities in autism spectrum disorders: immune dysregulation, inflammation, oxidative stress, mitochondrial dysfunction and environmental toxicant exposures.自闭症谱系障碍中生理异常的研究趋势综述:免疫失调、炎症、氧化应激、线粒体功能障碍和环境毒物暴露。
Mol Psychiatry. 2012 Apr;17(4):389-401. doi: 10.1038/mp.2011.165. Epub 2011 Dec 6.
9
Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses.自闭症谱系障碍女童:基于多元整体分析和模式分类分析的深入了解。
Neuroimage. 2012 Jan 16;59(2):1013-22. doi: 10.1016/j.neuroimage.2011.08.070. Epub 2011 Aug 27.
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Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis.自闭症谱系障碍的非典型脑电图复杂性:多尺度熵分析。
Clin Neurophysiol. 2011 Dec;122(12):2375-83. doi: 10.1016/j.clinph.2011.05.004. Epub 2011 Jun 8.

定量脑电图在自闭症脑特征化中的应用:系统综述。

On the application of quantitative EEG for characterizing autistic brain: a systematic review.

机构信息

Institute of Clinical Physiology, National Council of Research (CNR) , Pisa , Italy.

出版信息

Front Hum Neurosci. 2013 Aug 5;7:442. doi: 10.3389/fnhum.2013.00442. eCollection 2013.

DOI:10.3389/fnhum.2013.00442
PMID:23935579
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3733024/
Abstract

Autism-Spectrum Disorders (ASD) are thought to be associated with abnormalities in neural connectivity at both the global and local levels. Quantitative electroencephalography (QEEG) is a non-invasive technique that allows a highly precise measurement of brain function and connectivity. This review encompasses the key findings of QEEG application in subjects with ASD, in order to assess the relevance of this approach in characterizing brain function and clustering phenotypes. QEEG studies evaluating both the spontaneous brain activity and brain signals under controlled experimental stimuli were examined. Despite conflicting results, literature analysis suggests that QEEG features are sensitive to modification in neuronal regulation dysfunction which characterize autistic brain. QEEG may therefore help in detecting regions of altered brain function and connectivity abnormalities, in linking behavior with brain activity, and subgrouping affected individuals within the wide heterogeneity of ASD. The use of advanced techniques for the increase of the specificity and of spatial localization could allow finding distinctive patterns of QEEG abnormalities in ASD subjects, paving the way for the development of tailored intervention strategies.

摘要

自闭症谱系障碍(ASD)被认为与全球和局部水平的神经连接异常有关。定量脑电图(QEEG)是一种非侵入性技术,可以高度精确地测量大脑功能和连接。本综述涵盖了 QEEG 在 ASD 受试者中的应用的主要发现,以评估这种方法在描述大脑功能和聚类表型方面的相关性。研究评估了自发脑活动和受控实验刺激下的脑信号的 QEEG 研究。尽管结果存在冲突,但文献分析表明,QEEG 特征对神经元调节功能障碍的改变敏感,而这种功能障碍是自闭症大脑的特征。因此,QEEG 可能有助于检测大脑功能和连接异常的区域,将行为与大脑活动联系起来,并在 ASD 的广泛异质性中对受影响的个体进行亚组分类。使用提高特异性和空间定位的先进技术可能会在 ASD 患者中找到独特的 QEEG 异常模式,为制定定制干预策略铺平道路。