Enhanced brain signal variability in children with autism spectrum disorder during early childhood.
Enhanced brain signal variability in children with autism spectrum disorder during early childhood.
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早期自闭症谱系障碍儿童的大脑信号变异性增强。
DOI：
10.1002/hbm.23089
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发表时间：
2016-03
影响因子：
4.8
通讯作者：
Kikuchi, Mitsuru
中科院分区：
文献类型：
--
作者：
Takahashi, Tetsuya;Yoshimura, Yuko;Hiraishi, Hirotoshi;Hasegawa, Chiaki;Munesue, Toshio;Higashida, Haruhiro;Minabe, Yoshio;Kikuchi, Mitsuru
关键词：
大量证据表明，自闭症谱系障碍（ASD）的核心神经生物学机制涉及异常的神经连接。脑信号变异性研究的最新进展已经产生了关于神经网络机制的重要信息。这些信息已被卓有成效地应用于评估衰老和精神障碍。多尺度熵（MSE）分析可以表征神经网络动力学中多个时间尺度上脑信号动力学的内在复杂性。在这项研究中，我们试图描述43名ASD儿童和72名典型发育对照（TD）儿童在自由观看无声音视频期间的脑磁图（MEG）信号变异性，强调幼儿期到老年期：神经网络成熟的关键时期。结果显示，TD儿童在特定时间尺度上的脑信号变异性呈年龄相关性增加，而在ASD组中观察到非典型的年龄相关性改变。此外，在ASD儿童中观察到增强的大脑信号变异性，特别是在年幼的儿童中得到证实。在ASD组中，症状严重程度与区域特异性和时间尺度特异性相关，脑信号变异性降低。这些结果与最近报道的ASD发育过程中大脑信号变异性增加和神经连接异常的理论非常一致，特别是在儿童早期。这项研究的结果表明，MSE分析方法可能作为一种有用的方法，通过检测MEG信号在多个时间尺度上的变异性来表征ASD的典型发展及其改变的神经生理机制。《脑地图》37：1038-1050，2016年。© 2015 The Authors Human Brain Mapping由Wiley Periodicals，Inc.出版。
Extensive evidence shows that a core neurobiological mechanism of autism spectrum disorder (ASD) involves aberrant neural connectivity. Recent advances in the investigation of brain signal variability have yielded important information about neural network mechanisms. That information has been applied fruitfully to the assessment of aging and mental disorders. Multiscale entropy (MSE) analysis can characterize the complexity inherent in brain signal dynamics over multiple temporal scales in the dynamics of neural networks. For this investigation, we sought to characterize the magnetoencephalography (MEG) signal variability during free watching of videos without sound using MSE in 43 children with ASD and 72 typically developing controls (TD), emphasizing early childhood to older childhood: a critical period of neural network maturation. Results revealed an age‐related increase of brain signal variability in a specific timescale in TD children, whereas atypical age‐related alteration was observed in the ASD group. Additionally, enhanced brain signal variability was observed in children with ASD, and was confirmed particularly for younger children. In the ASD group, symptom severity was associated region‐specifically and timescale‐specifically with reduced brain signal variability. These results agree well with a recently reported theory of increased brain signal variability during development and aberrant neural connectivity in ASD, especially during early childhood. Results of this study suggest that MSE analytic method might serve as a useful approach for characterizing neurophysiological mechanisms of typical‐developing and its alterations in ASD through the detection of MEG signal variability at multiple timescales. Hum Brain Mapp 37:1038–1050, 2016. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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自闭症儿童的定制磁脑摄影设备揭示了大脑连通性和高读数/解码能力。
影响因子：
4.6
作者：
Kikuchi, Mitsuru;Yoshimura, Yuko;Shitamichi, Kiyomi;Ueno, Sanae;Hirosawa, Tetsu;Munesue, Toshio;Ono, Yasuki;Tsubokawa, Tsunehisa;Haruta, Yasuhiro;Oi, Manabu;Niida, Yo;Remijn, Gerard B.;Takahashi, Tsutomu;Suzuki, Michio;Higashida, Haruhiro;Minabe, Yoshio
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Minabe, Yoshio
影响因子：
4.2
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影响因子：
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影响因子：
6
作者：
Li, Shu-Chen;von Oertzen, Timo;Lindenberger, Ulman
通讯作者：
Lindenberger, Ulman
影响因子：
4.7
作者：
Catarino, Ana;Churches, Owen;Ring, Howard
通讯作者：
Ring, Howard