| Diffusion Tractography and Graph Theory Analysis Reveal the Disrupted Rich-Club Organization of White Matter Structural Networks in Early Tourette Syndrome Children | |
Wen Hongwei1,2 ; Yue Liu4; Shengpei Wang1,2; Jishui Zhang5; Yun Peng4; Huiguang He1,2,3; He HG(何晖光)
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| 2017-03 | |
| 会议名称 | SPIE Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging |
| 会议录名称 | Proceedings of SPIE |
| 卷号 | 10137 |
| 页码 | 101371E-101371E-12 |
| 会议日期 | 2017-02 |
| 会议地点 | Orlando, USA |
| 摘要 | Tourette syndrome (TS) is a childhood-onset neurobehavioral disorder. At present, the topological disruptions of the whole brain white matter (WM) structural networks remain poorly understood in TS children. Considering the unique position of the topologically central role of densely interconnected brain hubs, namely the rich club regions, therefore, we aimed to investigate whether the rich club regions and their related connections would be particularly vulnerable in early TS children. In our study, we used diffusion tractography and graph theoretical analyses to explore the rich club structures in 44 TS children and 48 healthy children. The structural networks of TS children exhibited significantly increased normalized rich club coefficient, suggesting that TS is characterized by increased structural integrity of this centrally embedded rich club backbone, potentially resulting in increased global communication capacity. In addition, TS children showed a reorganization of rich club regions, as well as significantly increased density and decreased number in feeder connections. Furthermore, the increased rich club coefficients and feeder connections density of TS children were significantly positively correlated to tic severity, indicating that TS may be characterized by a selective alteration of the structural connectivity of the rich club regions, tending to have higher bridging with non-rich club regions, which may increase the integration among tic-related brain circuits with more excitability but less inhibition for information exchanges between highly centered brain regions and peripheral areas. In all, our results suggest the disrupted rich club organization in early TS children and provide structural insights into the brain networks. |
| 关键词 | Tourette Syndrome Diffusion Tensor Imaging Diffusion Tractography Graph Theoretical Analysis Graph Theoretical Analysis |
| 学科领域 | 模式识别与智能系统 |
| 收录类别 | EI |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/14678 |
| 专题 | 复杂系统管理与控制国家重点实验室_影像分析与机器视觉 |
| 通讯作者 | He HG(何晖光) |
| 作者单位 | 1.Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China 4.Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, China 5.Department of Neurology, Beijing Children’s Hospital, Capital Medical University, Beijing, China |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Wen Hongwei,Yue Liu,Shengpei Wang,et al. Diffusion Tractography and Graph Theory Analysis Reveal the Disrupted Rich-Club Organization of White Matter Structural Networks in Early Tourette Syndrome Children[C],2017:101371E-101371E-12. |
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