Institute of Cognitive Neuroscience, University College London, UK.
Department of Neurology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Mov Disord. 2015 Aug;30(9):1184-9. doi: 10.1002/mds.26188. Epub 2015 Mar 17.
Tics are the hallmark feature of Tourette syndrome. The basic phenomenological and neurophysiological characteristics of tics have been widely investigated. Interestingly, the spatial distribution of tics across different body parts has received little attention. No previous study has investigated whether the capacity for voluntary tic inhibition also varies across body parts.
We analyzed video sequences of 26 adolescents with Tourette syndrome in a "tic freely" condition, and in a "voluntary tic inhibition" condition, to obtain absolute tic counts for different body parts. Two measures of the spatial distribution of tics were then analyzed. Linear regression analyses were employed to investigate the relation between the contribution of each body part to overall tic behavior and the ability to inhibit tics in that body part, averaged over our patient group.
Tic distribution across patients showed a characteristic somatotopic pattern, with the face most strongly represented. A significant negative relation was found between the ability to inhibit tics and pooled tic frequency across body parts. The body parts that exhibited the fewest tics were the ones for which tic inhibition was most effective.
Our data are consistent with the idea that tic recruitment order reflects a "tic generator" spreading across a somatotopic map in the brain. Voluntary tic inhibition did not simply cause a proportional reduction of tics in each body part. Rather, the least affected body parts showed most effective voluntary tic inhibition. The results are discussed in terms of signal and noise within cortical-subcortical motor loops.
抽动是妥瑞氏症的主要特征。抽动的基本现象学和神经生理学特征已得到广泛研究。有趣的是,抽动在不同身体部位的空间分布却很少受到关注。以前没有研究调查过是否自愿抑制抽动的能力也因身体部位而异。
我们分析了 26 名患有妥瑞氏症的青少年在“自由抽动”和“自愿抑制抽动”两种状态下的视频序列,以获得不同身体部位的绝对抽动次数。然后分析了两种抽动空间分布的测量方法。我们采用线性回归分析来研究每个身体部位对整体抽动行为的贡献与该身体部位抑制抽动的能力之间的关系,平均值来自我们的患者群体。
患者的抽动分布呈现出一种特征性的躯体定位模式,面部最为突出。我们发现,抑制抽动的能力与身体各部位的抽动频率之间存在显著的负相关。抽动最少的身体部位,其抑制抽动的效果最为明显。
我们的数据与抽动募集顺序反映大脑中“抽动发生器”在躯体定位图上扩散的观点一致。自愿抑制抽动并不会简单地导致每个身体部位的抽动成比例减少。相反,受影响最小的身体部位表现出最有效的自愿抑制抽动。结果将根据皮质-皮质下运动回路中的信号和噪声进行讨论。