IRCCS Galeazzi, Via Galeazzi 4, Milan, Italy.
Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Eur J Neurosci. 2017 Sep;46(6):2203-2213. doi: 10.1111/ejn.13658. Epub 2017 Sep 4.
We tested the hypothesis that Gilles de la Tourette syndrome (GTS) is characterized by perturbed connectivity within cortico-subcortical motor networks. To this end, we performed a dynamic causal modelling (DCM) analysis of fMRI data collected during a finger opposition task in 24 normal controls and 24 GTS patients. The DCM analysis allowed us to assess whether any GTS-specific patterns of brain activity were related to intrinsic and/or to task-dependent connectivity. While no abnormalities were found for task-dependent connectivity, intrinsic connectivity was abnormally increased in the premotor network, with stronger connections from the supplementary motor area (SMA), from the dorsolateral premotor cortex and from the putamen to the right superior frontal gyrus, an area where GTS showed over-activation in a previous univariate analysis. We also found a positive correlation between the connectivity strength from the right basal ganglia to the right primary motor cortex (M1) and disease severity measured by the Yale Global Tic Severity Scale (YGTSS). This pattern was mirrored by a negative correlation between the connection strength from the right SMA to the right area M1 and the YGTSS score. These two reverse correlation effects showed a specific relationship with individual disease severity: the greater the imbalance between subcortical and premotor connectivity towards area M1, the higher the YGTSS score. These results reveal the existence of perturbed intrinsic connectivity patterns in the motor networks of GTS patients with two competing forces operating in a tug of war-like mechanism: aberrant subcortical afferents to M1, compensated for by inputs from the premotor cortex.
我们检验了这样一个假说,即 Gilles de la Tourette 综合征(GTS)的特征是皮质-皮质下运动网络内的连接紊乱。为此,我们对 24 名正常对照者和 24 名 GTS 患者在进行手指对指任务时采集的 fMRI 数据进行了动态因果建模(DCM)分析。DCM 分析使我们能够评估 GTS 患者的任何特定的脑活动模式是否与内在的和/或任务相关的连接有关。虽然在任务相关的连接方面没有发现异常,但在运动前网络中,内在连接异常增加,来自辅助运动区(SMA)、背外侧运动前皮层和壳核的连接更强,在之前的单变量分析中,GTS 患者在该区域表现出过度激活。我们还发现,右侧基底节到右侧初级运动皮层(M1)的连接强度与耶鲁总体抽搐严重程度量表(YGTSS)测量的疾病严重程度之间存在正相关。这种连接模式与右侧 SMA 到右侧 M1 区域的连接强度与 YGTSS 评分之间的负相关相呼应。这两种反向相关效应与个体疾病严重程度存在特定关系:皮质下和运动前连接向 M1 区域的不平衡程度越大,YGTSS 评分越高。这些结果揭示了 GTS 患者运动网络中存在紊乱的内在连接模式,两种相互竞争的力量在拔河式机制中运作:皮质下传入到 M1 的异常,由运动前皮层的输入补偿。