Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Department of Computational Neuroscience, University Medical Center Hamburg, Martinistraße 52, 20246, Hamburg, Germany.
Sci Rep. 2017 Sep 6;7(1):10606. doi: 10.1038/s41598-017-10920-y.
Gilles de la Tourette syndrome is a neurodevelopmental disorder characterized by tics. Abnormal neuronal circuits in a wide-spread structural and functional network involved in planning, execution and control of motor functions are thought to represent the underlying pathology. We therefore studied changes of structural brain networks in 13 adult GTS patients reconstructed by diffusion tensor imaging and probabilistic tractography. Structural connectivity and network topology were characterized by graph theoretical measures and compared to 13 age-matched controls. In GTS patients, significantly reduced connectivity was detected in right hemispheric networks. These were furthermore characterized by significantly reduced local graph parameters (local clustering, efficiency and strength) indicating decreased structural segregation of local subnetworks. Contrasting these results, whole brain and right hemispheric networks of GTS patients showed significantly increased normalized global efficiency indicating an overall increase of structural integration among distributed areas. Higher global efficiency was associated with tic severity (R = 0.63, p = 0.022) suggesting the clinical relevance of altered network topology. Our findings reflect an imbalance between structural integration and segregation in right hemispheric structural connectome of patients with GTS. These changes might be related to an underlying pathology of impaired neuronal development, but could also indicate potential adaptive plasticity.
图雷特综合征是一种神经发育障碍,其特征为抽搐。人们认为,涉及运动功能规划、执行和控制的广泛结构和功能网络中的异常神经元回路代表了潜在的病理学。因此,我们通过弥散张量成像和概率追踪技术重建了 13 名成年 GTS 患者的结构脑网络,并研究了其变化。通过图论测量来描述结构连接性和网络拓扑结构,并与 13 名年龄匹配的对照组进行比较。在 GTS 患者中,检测到右侧半球网络的连接性明显降低。这些网络的局部图参数(局部聚类、效率和强度)也显著降低,表明局部子网的结构分离减少。与这些结果相反,GTS 患者的全脑和右侧半球网络的归一化全局效率显著增加,表明分布式区域之间的结构整合整体增加。更高的全局效率与抽搐严重程度相关(R=0.63,p=0.022),表明网络拓扑改变的临床相关性。我们的研究结果反映了 GTS 患者右侧半球结构连接组中结构整合和分离之间的不平衡。这些变化可能与神经元发育受损的潜在病理学有关,但也可能表明存在潜在的适应性可塑性。