首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Small-World Brain Functional Networks in Children With Attention-Deficit/Hyperactivity Disorder Revealed by EEG Synchrony
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Small-World Brain Functional Networks in Children With Attention-Deficit/Hyperactivity Disorder Revealed by EEG Synchrony

机译:由EEG同步揭示的注意力缺陷/多动障碍儿童的小世界脑功能网络。

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摘要

We investigated the topologic properties of human brain attention-related functional networks associated with Multi-Source Interference Task (MSIT) performance using electroencephalography (EEG). Data were obtained from 13 children diagnosed with attention-deficit/hyperactivity disorder (ADHD) and 13 normal control children. Functional connectivity between all pairwise combinations of EEG channels was established by calculating synchronization likelihood (SL). The cluster coefficients and path lengths were computed as a function of degree K. The results showed that brain attention functional networks of normal control subjects had efficient small-world topologic properties, whereas these topologic properties were altered in ADHD. In particular, increased local characteristics combined with decreased global characteristics in ADHD led to a disorder-related shift of the network topologic structure toward ordered networks. These findings are consistent with a hypothesis of dysfunctional segregation and integration of the brain in ADHD, and enhance our understanding of the underlying pathophysiologic mechanism of this illness.
机译:我们调查了与脑电图(EEG)的多源干扰任务(MSIT)性能相关的人脑注意力相关功能网络的拓扑特性。数据来自13名被诊断为注意力缺陷/多动障碍(ADHD)的儿童和13名正常对照儿童。通过计算同步可能性(SL),建立EEG通道的所有成对组合之间的功能连接。计算聚类系数和路径长度作为K度的函数。结果表明,正常对照对象的大脑注意功能网络具有有效的小世界拓扑特性,而这些拓扑特性在ADHD中已改变。特别地,增加的局部特征与降低的多动症的整体特征相结合导致网络拓扑结构向有序网络的与疾病相关的转变。这些发现与多动症患者大脑功能失调和整合的假说相符,并增强了我们对这种疾病的潜在病理生理机制的了解。

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