Band-specific atypical functional connectivity pattern in childhood autism spectrum disorder
Band-specific atypical functional connectivity pattern in childhood autism spectrum disorder
复制标题
DOI：
10.1016/j.clinph.2017.05.010
复制
发表时间：
2017-08-01
影响因子：
4.7
通讯作者：
Kikuchi, Mitsuru
中科院分区：
文献类型：
--
作者：
Takahashi, Tetsuya;Yamanishi, Teruya;Kikuchi, Mitsuru
目的：改变的大脑连接被认为是自闭症谱系障碍（ASD）的关键神经基础，但最近的研究揭示了相互冲突的连接模式，特别是跨年龄组的超连接和低连接。图论在神经影像学数据中的应用已经成为表征大规模功能网络拓扑模式的有效方法。我们使用了一个图形的方法来调查儿童ASD的功能网络的改变。方法：脑磁图信号进行了量化，使用图形理论的指标与相位滞后指数（PLI）的特定波段在24名儿童自闭症谱系障碍和24个典型的发展控制。结果：在拓扑组织方面，增强和减少小世界性，的信息处理效率，分别观察到在ASD children，特别是在伽玛波段和delta band.Conclusions：分析显示频率依赖的非典型神经网络拓扑结构在ASD children.Significance：我们的研究结果强调了最近提出的非典型神经网络理论的ASD在童年。图论与PLI应用于脑磁图信号可能是一个有用的方法来表征特定频率的神经生理基础的ASD。(C)2017年国际临床神经生理学联合会。由Elsevier爱尔兰有限公司出版。保留所有权利。
Objective: Altered brain connectivity has been theorized as a key neural underpinning of autism spectrum disorder (ASD), but recent investigations have revealed conflicting patterns of connectivity, particularly hyper-connectivity and hypo-connectivity across age groups. The application of graph theory to neuroimaging data has become an effective approach for characterizing topographical patterns of large-scale functional networks. We used a graph approach to investigate alteration of functional networks in childhood ASD.Method: Magnetoencephalographic signals were quantified using graph-theoretic metrics with a phase lag index (PLI) for specific bands in 24 children with autism spectrum disorder and 24 typically developing controls.Results: No significant group difference of PLI was found. Regarding topological organization, enhanced and reduced small-worldness, representing the efficiency of information processing, were observed respectively in ASD children, particularly in the gamma band and delta band.Conclusions: Analyses revealed frequency-dependent atypical neural network topologies in ASD children.Significance: Our findings underscore the recently proposed atypical neural network theory of ASD during childhood. Graph theory with PLI applied to magnetoencephalographic signals might be a useful approach for characterizing the frequency-specific neurophysiological bases of ASD. (C) 2017 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.