Neural network topology in ADHD; evidence for maturational delay and default-mode network alterations
Neural network topology in ADHD; evidence for maturational delay and default-mode network alterations
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DOI：
10.1016/j.clinph.2017.09.004
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发表时间：
2017-11-01
影响因子：
4.7
通讯作者：
Oosterlaan, J.
中科院分区：
文献类型：
--
作者：
Janssen, T. W. P.;Hillebrand, A.;Oosterlaan, J.
目的：注意力缺陷多动障碍（ADHD）与广泛的大脑白色和灰质异常有关，不仅影响局部，而且影响全局功能网络。在这项研究中，我们探讨了这些功能网络使用源重建脑电图在多动症和典型的发展（TD）儿童。我们期待着成熟延迟的证据，以及默认模式网络中的潜在异常。帕拉;&帕拉;研究方法：记录ADHD（n = 42）和TD（n = 43）在休息时的脑电图，并导出功能连接（相位滞后指数）和图形（最小生成树）参数。因变量是theta、alpha和beta波段的全局和局部网络度量。帕拉;&帕拉;结果如下：我们发现了ADHD儿童比TD儿童更集中的功能网络的证据，α带直径减小（eta（2）（p）= 0.06），α和β带的叶分数增加（eta（2）（p）= 0.11和0.08），大脑中枢区域存在潜在异常，包括默认模式网络。帕拉;&帕拉;结论：更集中的网络的发现与ADHD的成熟延迟模型一致，应该在纵向设计中复制。帕拉;&帕拉;重要性：本研究通过结合高时空分辨率构建脑电网络拓扑结构，并将ADHD的成熟延迟和默认模式干扰假设联系起来，为文献提供了贡献。(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: Attention-deficit/hyperactivity disorder (ADHD) has been associated with widespread brain abnormalities in white and grey matter, affecting not only local, but global functional networks as well. In this study, we explored these functional networks using source-reconstructed electroencephalography in ADHD and typically developing (TD) children. We expected evidence for maturational delay, with underlying abnormalities in the default mode network.& para;& para;Methods: Electroencephalograms were recorded in ADHD (n = 42) and TD (n = 43) during rest, and functional connectivity (phase lag index) and graph (minimum spanning tree) parameters were derived. Dependent variables were global and local network metrics in theta, alpha and beta bands.& para;& para;Results: We found evidence for a more centralized functional network in ADHD compared to TD children, with decreased diameter in the alpha band (eta(2)(p) = 0.06) and increased leaf fraction (eta(2)(p) = 0.11 and 0.08) in the alpha and beta bands, with underlying abnormalities in hub regions of the brain, including default mode network.& para;& para;Conclusions: The finding of a more centralized network is in line with maturational delay models of ADHD and should be replicated in longitudinal designs.& para;& para;Significance: This study contributes to the literature by combining high temporal and spatial resolution to construct EEG network topology, and associates maturational-delay and default-mode interference hypotheses of ADHD. (C) 2017 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.