Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder.

Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder.
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基于扩散张量成像的网络游戏障碍青年男性连接组图分析

DOI:
10.3389/fnins.2022.1090224
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发表时间:
2022
影响因子:
4.3
通讯作者:
Tian, Lin
Tian, Lin
中科院分区:
医学2区
文献类型:
--
作者:
Qin, Jiaolong;Wang, Shuai;Ni, Huangjing;Wu, Ye;Chen, Limin;Guo, Shuaiyi;Zhang, Fuquan;Zhou, Zhenhe;Tian, Lin

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虽然最近的证据表明,功能失调的大脑组织与互联网游戏障碍(IGD)有关,但与IGD相关的神经解剖学改变仍不清楚。在这项弥散张量成像(DTI)研究中,我们的目的是检查白色物质(WM)结构连接体的改变及其与IGD特征的关系,在47名年轻男性IGD和34名匹配良好的健康对照。两种方法[即,基于网络的统计(NBS)和图论的措施]被应用到评估网络的具体拓扑特征的差异,并确定拓扑特性的潜在变化,分别。此外,我们还探讨了这些改变与网络成瘾严重程度之间的关系。一项NBS分析显示,IGD年轻人的皮质-边缘-纹状体结构连接网络发生了广泛的改变:(1)增加了一个亚网络1,包括负责视觉,听觉和感觉运动功能的区域;(2)减少了两个亚网络2和亚网络3,包括纹状体,纹状体和边缘区域。额外的相关性分析表明,平均分数各向异性(FA-)加权连接强度的子网1和互联网成瘾测试(IAT)分数IGD组之间的显着正相关。本研究扩展了我们对IGD神经解剖学相关性的认识,并强调了皮质-边缘-纹状体网络在理解这种疾病背后的神经生物学机制中的作用。
Although recent evidence suggests that dysfunctional brain organization is associated with internet gaming disorder (IGD), the neuroanatomical alterations related to IGD remain unclear. In this diffusion tensor imaging (DTI) study, we aimed to examine alterations in white matter (WM) structural connectomes and their association with IGD characteristics in 47 young men with IGD and in 34 well-matched healthy controls. Two approaches [namely, network-based statistics (NBS) and graph theoretical measures] were applied to assess differences in the specific topological features of the networks and to identify the potential changes in the topological properties, respectively. Furthermore, we explored the association between the alterations and the severity of internet addiction. An NBS analysis revealed widespread alterations of the cortico-limbic-striatal structural connectivity networks in young people with IGD: (1) an increased subnet1 comprising the insula and the regions responsible for visual, auditory, and sensorimotor functions and (2) two decreased subnet2 and subnet3 comprising the insula, striatum, and limbic regions. Additional correlation analysis showed a significant positive association between the mean fractional anisotropy- (FA-) weighted connectivity strength of subnet1 and internet addiction test (IAT) scores in the IGD group. The present study extends our knowledge of the neuroanatomical correlates in IGD and highlights the role of the cortico-limbic-striatal network in understanding the neurobiological mechanisms underlying this disorder.
DOI: 10.1089/cyber.2012.0482
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