4.7 Article

Quantitative Separation of Tremor and Ataxia in Essential Tremor

期刊

ANNALS OF NEUROLOGY
卷 88, 期 2, 页码 372-387

出版社

WILEY
DOI: 10.1002/ana.25781

关键词

-

资金

  1. National Institute of Health (NIH)
  2. National Institute of Neurological Disorders and Stroke [R01 NS058487, R21 NS096258]

向作者/读者索取更多资源

Objective This study addresses an important problem in neurology, distinguishing tremor and ataxia using quantitative methods. Specifically, we aimed to quantitatively separate dysmetria, a cardinal sign of ataxia, from tremor in essential tremor (ET). Methods In Experiment 1, we compared 19 participants diagnosed with ET undergoing thalamic deep brain stimulation (DBS; ETDBS) to 19 healthy controls (HC). We quantified tremor during postural tasks using accelerometry and dysmetria with fast, reverse-at-target goal-directed movements. To ensure that endpoint accuracy was unaffected by tremor, we quantified dysmetria in selected trials manifesting a smooth trajectory to the endpoint. Finally, we manipulated tremor amplitude by switching DBS ON and OFF to examine its effect on dysmetria. In Experiment 2, we compared 10 ET participants with 10 HC to determine whether we could identify and distinguish dysmetria from tremor in non-DBS ET. Results Three findings suggest that we can quantify dysmetria independently of tremor in ET. First, ET(DBS)and ET exhibited greater dysmetria than HC and dysmetria did not correlate with tremor (R-2 < 0.01). Second, even for trials with tremor-free trajectories to the target, ET exhibited greater dysmetria than HC (p <0.01). Third, activating DBS reduced tremor (p <0.01) but had no effect on dysmetria (p >0.2). Interpretation We demonstrate that dysmetria can be quantified independently of tremor using fast, reverse-at-target goal-directed movements. These results have important implications for the understanding of ET and other cerebellar and tremor disorders. Future research should examine the neurophysiological mechanisms underlying each symptom and characterize their independent contribution to disability. ANN NEUROL 2020

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据