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Abstract：
Internet gaming addiction (IGD) is a common disease in teenagers which usually reflects the abnormalities in brain function or structure. Several computational models have been applied to investigate the characteristic of IGD brain networks, for instance, the conception of brain controllability. The primary objective of this study was to explore the relationship between brain controllability and IGD related clinical behaviour. A sample of 101 subjects, including 49 IGD patients and 52 normal controls, were recruited to undergo MR T1 and DTI scanning. Specifically, the MR images were used to generate the white matter connectivity matrix and the morphometry similarity network. The morphometry similarity network was then divided into several communities using modular decomposition. After, average controllability, modal controllability and synchronizability were calculated through measuring the adjacency matrix. The results indicated that the IGD group had greater synchronizability and modal controllability compared to that of the control group, and different morphological-based brain communities had different controllability properties. Furthermore, the addiction demonstrated the mediating effects between nodal or modular brain controllability as well as anxiety. In conclusion, brain controllability could be a potential biomarker of IGD.
摘要：
网络游戏成瘾（IGD）是青少年的常见疾病，通常反映大脑功能或结构的异常。已经应用了几种计算模型来研究IGD脑网络的特征，例如,大脑可控性的概念。这项研究的主要目的是探索大脑可控性与IGD相关临床行为之间的关系。101名受试者的样本，包括49例IGD患者和52例正常对照,被招募接受MRT1和DTI扫描。具体来说,MR图像用于生成白质连接矩阵和形态测量相似性网络.然后使用模块化分解将形态测量相似性网络分为几个社区。之后，平均可控性，通过测量邻接矩阵计算了模态可控性和同步性。结果表明，与对照组相比，IGD组具有更大的同步性和模态可控性，不同形态的脑群落具有不同的可控性。此外，成瘾表现出了脑神经节或模块化可控性与焦虑之间的中介作用。总之,脑可控性可能是IGD的潜在生物标志物.
