Motor Control and Movement Disorder Group, Institute of Molecular and Clinical Sciences, St George's University of London, London, United Kingdom; Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.
School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Prog Brain Res. 2019;249:251-260. doi: 10.1016/bs.pbr.2019.04.032. Epub 2019 Jun 21.
Clinical movement disorders are classified by an algorithm implemented by a practising movement disorder specialist based on information extracted during the history and clinical examination of a patient. Most simply, dystonia, is a classifier which is reached when a predominant abnormality of posture is noted. In this chapter we summarize studies that have used a variety of techniques to probe beyond the clinical examination and study kinematic features experimentally. We also outline our experimental work in DYT1 dystonia, a group of patients that share a genetically homogenous etiology and can be considered a prototypical dystonic disorder. Our results build on previous studies, confirming that motor variability on a trial-by-trial basis is selectively increased and provide evidence that increases in variability are negatively related to forms of motor learning essential for healthy motor control. Potential neural correlates of increased motor variability are discussed and the implications such work has for the rehabilitation of patients with dystonia are also highlighted.
临床运动障碍通过一种算法进行分类,该算法由实践中的运动障碍专家根据患者病史和临床检查中提取的信息来执行。最简单来说,当主要的姿势异常被注意到时,就会出现一种分类器,即肌张力障碍。在本章中,我们总结了使用各种技术来超越临床检查并从实验上研究运动学特征的研究。我们还概述了我们在 DYT1 肌张力障碍中的实验工作,这是一组具有遗传同质病因的患者,可以被认为是典型的肌张力障碍障碍。我们的结果建立在以前的研究基础上,证实了基于试验的运动变异性选择性增加,并提供了证据表明变异性增加与健康运动控制所必需的运动学习形式呈负相关。讨论了增加运动变异性的潜在神经相关性,并强调了这种工作对肌张力障碍患者康复的意义。