Altered resting functional network topology assessed using graph theory in youth with attention-deficit/hyperactivity disorder

Altered resting functional network topology assessed using graph theory in youth with attention-deficit/hyperactivity disorder
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DOI:
10.1016/j.pnpbp.2019.109796
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发表时间:
2020-03
影响因子:
5.6
通讯作者:
Yanpei Wang;Chenyi Zuo;Qinfang Xu;Shuirong Liao;Maihefulaiti Kanji;Daoyang Wang
Yanpei Wang;Chenyi Zuo;Qinfang Xu;Shuirong Liao;Maihefulaiti Kanji;Daoyang Wang
中科院分区:
医学2区
文献类型:
--
作者:
Yanpei Wang;Chenyi Zuo;Qinfang Xu;Shuirong Liao;Maihefulaiti Kanji;Daoyang Wang

文献摘要

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尽管有关注意缺陷/多动障碍(ADHD)和脑结构和功能的文献很多,但关于ADHD由功能障碍或发育迟缓引起的争议仍不清楚。图表分析研究已经就儿童和成年早期增加融合和减少随机性的模式达成了共识。在这里,我们假设ADHD是一种由发育迟缓引起的神经发育障碍,与正常发育的儿童相比,在儿童和成年早期会表现出整合减少和随机性增加的模式。为了验证这一假设,用图论分析比较了102名ADHD儿童和143名典型发育正常儿童(TDC)的可公开获得的静息状态fMRI数据。功能连通性用皮尔逊相关分析估计,网络拓扑用小世界(SW)和最小生成树(MST)性质表征。在ADHD患者中,全球连接的平均强度明显较弱,并且与ADHD诊断分数有关。聚类系数、路径长度、全局和局部效率(Sw)和叶数、kappa和Hierarchy(MST)拓扑结构存在显著的群体差异。此外,除总体效率外,所有这些参数都与ADHD相关的残疾有显著的相关性。Sw和MST的拓扑图表现出较少的整合性和较多的随机性,证实ADHD是一种与发育迟缓相关的障碍。此外,ADHD儿童显示异常的静息状态功能网络的拓扑结构与残疾程度有关,这可以被认为是神经发育障碍的神经学特征,可能有助于评估和监测ADHD患者的临床状况。
Notwithstanding an extensive literature about attention-deficit/hyperactivity disorder (ADHD) and brain structure and function, the controversy of ADHD resulting from dysfunction or developmental delay remains unclear. Graph analysis studies have reached consensus about the pattern of increased integration and decreased randomness during childhood and early adulthood. Here, we hypothesized that ADHD is a neurodevelopmental disorder resulting from developmental delay and would show a pattern of decreased integration and increased randomness during childhood and early adulthood compared with typically developing children. To test this hypothesis, publicly available resting-state fMRI data from 102 children with ADHD and 143 typically developing controls (TDC) were compared using graph theoretical analysis. Functional connectivity was estimated using Pearson correlation analysis, and network topology was characterized using small-world (SW) and minimum spanning tree (MST) properties. The mean strength of global connectivity was significantly weaker in those with ADHD and was related to ADHD diagnosis scores. Significant group differences were observed for SW(clustering coefficient, path length, global and local efficiency) and MST (leaf number, kappa and hierarchy) topology. In addition, except for global efficiency, all of these parameters showed significant correlations with ADHD-related disability. The topology of SW and MST showed less integration and more randomness, which confirmed that ADHD is a disorder associated with developmental delay. Moreover, the topology of resting-state functional networks in children with ADHD that show abnormalities was associated with the degree of disability, which can be considered neurological hallmarks of neurodevelopmental disorders and may facilitate the evaluation and monitoring of clinical status in individuals with ADHD.