Structural networks in children with autism spectrum disorder with regression: A graph theory study
Structural networks in children with autism spectrum disorder with regression: A graph theory study
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自闭症谱系障碍儿童的结构网络回归：图论研究
DOI：
10.1016/j.bbr.2019.112262
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发表时间：
2020-01-27
影响因子：
2.7
通讯作者：
Ke, Xiaoyan
中科院分区：
文献类型：
--
作者：
Fang, Hui;Wu, Qiaorong;Ke, Xiaoyan
背景：自闭症谱系障碍（ASD）经常描述回归。对伴有退化的ASD患者进行了有限的综合研究。目的：探讨有（ASD- r）和无（ASD- nr）回归的ASD儿童的网络拓扑特性。方法：本研究招募了29例ASD-R、68例ASD-NR和40例发育迟缓（DD）患儿。在3-T磁共振系统上，利用扩散张量成像和t1加权成像，利用图论对脑白质结构网络进行表征。采用IBM SPSS （version 23）进行统计分析。结果：ANCOVA结果显示，ASD-R组、ASD-NR组和DD组在整体效率、特征路径长度和sigma方面存在显著差异，但ASD-R组与ASD-NR组之间差异不显著。根据区域程度和区域效率，所有组中有10个共同的枢纽。与ASD-NR组相比，ASD-R组左侧额上回-背外侧、左侧枕中回和右侧楔前叶中枢度（区域程度）增强，右侧丘脑中枢度（区域效率）降低。在控制回归过程后，CARS评分与ASD-R组右侧楔前叶区域效率显著相关。结论：ASD-R患儿与ASD-NR患儿在中枢区域的分布上存在差异，但两者之间不存在全局网络属性差异。在ASD-R儿童中，右侧楔前叶（PCUN.R）可能起着重要作用，并与自闭症症状的严重程度有关。
Background: Regression is frequently described in Autism spectrum disorder (ASD). Limited comprehensive studies have been conducted in patients with ASD with regression.Purpose: To explore the network topological properties in ASD children with (ASD-R) and without (ASD-NR) regression.Methods: In this study, 29 ASD-R, 68 ASD-NR, and 40 children with developmental delay (DD) were recruited. We utilized graph theory to characterize the white matter structure networks by using diffusion tensor imaging and T1-weighted imaging on a 3-T magnetic resonance system. Statistical analyses were performed using IBM SPSS (version 23).Results: ANCOVA showed significant differences in global efficiency, characteristic path length and sigma among the ASD-R, ASD-NR and DD groups, but the difference was not significant between the ASD-R and ASD-NR groups. There were 10 common hubs based on regional degree and regional efficiency in all groups. The hubness of the left superior frontal gyrus-dorsolateral, left middle occipital gyrus and right precuneus were enhanced (by regional degree) and that of the right thalamus was reduced (by regional efficiency) in the ASD-R relative to the ASD-NR group. After controlling for the course of regression, the CARS scores were significantly correlated with the regional efficiency of the right precuneus in the ASD-R group.Conclusions: The ASD-R children were different from the ASD-NR children in the distribution of hub regions, although there were no global network property differences between them. In ASD-R children, the right precuneus (PCUN.R) might play an important role and relate to autism symptom severity.