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婴幼儿期孤独症脑电图不对称性的个体发生发展

Ontogenic development of EEG-asymmetry in early infantile autism.

作者信息

Ogawa T, Sugiyama A, Ishiwa S, Suzuki M, Ishihara T, Sato K

出版信息

Brain Dev. 1982;4(6):439-49. doi: 10.1016/s0387-7604(82)80071-5.

DOI:10.1016/s0387-7604(82)80071-5
PMID:7168481
Abstract

Autoregressive (AR) analysis and component analysis were done on EEGs during sleep stage 2 in normal and autistic children, since AR-coefficients of EEG characterize the autocovariance and power spectral density of EEG. In addition, as the generalized distance of the average AR-coefficient vector of an EEG group at one side from that at the opposite side exhibits an F-distribution, the statistical inferences were determined, as to whether there is hemispheric specialization in EEG in 21 right-handed autistic children and whether there is a difference between the AR-spectral pattern of EEG in the autistic children and that of 28 normal children of the same age range. The results obtained are as follows: 1. Significant hemispheric lateralization in EEG at the significant level of 0.01 was observed in normal children, whereas no lateralization was confirmed in autistic children. 2. Random click stimulation had cumulative effects on the hemispheric lateralization in the normal children, but not in the autistic children. On the contrary, the effects of random flash light stimulation on hemispheric asymmetry were verified in the autistic children as well as in the normal children. 3. The EEG components of autistic children were significantly different from the normal ones in the frequency range of alpha-2 component waves at bilateral frontal (Fp1 and Fp2) regions and the activity of these component waves was higher in the autistic children than in the normal ones over 5 years old. 4. These findings suggest that autistic children are not only less responsive to external stimuli, but also neurophysiologically less active in the internal regulatory mechanism.

摘要

由于脑电图(EEG)的自回归(AR)系数表征了EEG的自协方差和功率谱密度,因此对正常儿童和自闭症儿童在睡眠第二阶段的EEG进行了自回归分析和成分分析。此外,由于一组EEG在一侧的平均AR系数向量与另一侧的平均AR系数向量的广义距离呈F分布,因此确定了关于21名右利手自闭症儿童的EEG是否存在半球特化以及自闭症儿童与28名同年龄范围正常儿童的EEG的AR频谱模式是否存在差异的统计推断。获得的结果如下:1. 在正常儿童中观察到EEG在0.01的显著水平上有显著的半球侧化,而在自闭症儿童中未确认有侧化。2. 随机点击刺激对正常儿童的半球侧化有累积效应,但对自闭症儿童没有。相反,随机闪光刺激对半球不对称的影响在自闭症儿童和正常儿童中均得到证实。3. 自闭症儿童的EEG成分在双侧额叶(Fp1和Fp2)区域的α-2成分波频率范围内与正常儿童有显著差异,并且这些成分波在5岁以上自闭症儿童中的活动高于正常儿童。4. 这些发现表明,自闭症儿童不仅对外界刺激反应较小,而且在内部调节机制中的神经生理活动也较低。

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Ontogenic development of EEG-asymmetry in early infantile autism.婴幼儿期孤独症脑电图不对称性的个体发生发展
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引用本文的文献

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Alpha Waves as a Neuromarker of Autism Spectrum Disorder: The Challenge of Reproducibility and Heterogeneity.α波作为自闭症谱系障碍的神经标志物:可重复性和异质性的挑战
Front Neurosci. 2018 Oct 1;12:662. doi: 10.3389/fnins.2018.00662. eCollection 2018.
2
Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity.运用定量和分析脑电图方法理解自闭症谱系障碍中的连接:混合过度和连接不足的理论。
Front Hum Neurosci. 2014 Feb 26;8:45. doi: 10.3389/fnhum.2014.00045. eCollection 2014.
3
QEEG spectral and coherence assessment of autistic children in three different experimental conditions.
在三种不同实验条件下对自闭症儿童进行脑电频谱和相干性评估。
J Autism Dev Disord. 2015 Feb;45(2):406-24. doi: 10.1007/s10803-013-1909-5.
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QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder.被诊断为自闭症谱系障碍儿童的脑电信号特征及频谱加权频率
Nonlinear Biomed Phys. 2010 Sep 30;4(1):4. doi: 10.1186/1753-4631-4-4.
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Planum temporale volume in children and adolescents with autism.患有自闭症的儿童和青少年的颞平面体积
J Autism Dev Disord. 2005 Aug;35(4):479-86. doi: 10.1007/s10803-005-5038-7.
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Brain mapping of language and auditory perception in high-functioning autistic adults: a PET study.高功能自闭症成年人语言和听觉感知的脑图谱:一项正电子发射断层扫描研究。
J Autism Dev Disord. 1999 Feb;29(1):19-31. doi: 10.1023/a:1025914515203.