ArticleCerebellum (London, England)2023
Quantification of Upper Limb Movements in Patients with Hereditary or Idiopathic Ataxia.
Article in Cerebellum (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Machine Learning Aided Kinematic Profiling of Reaching Movements Separates Spinocerebellar Ataxia type 12 and Essential Tremor.Cerebellum (London, England) · 2026Article
- Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality-Based Evaluation System.Annals of clinical and translational neurology · 2026Article
- Digital Outcomes of Upper Limb Ataxia Capture Meaningful Longitudinal Change and Treatment Response.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- At-home wearables and machine learning capture motor impairment and progression in adult ataxias.Brain : a journal of neurology · 2025Article
- Submovements Derived from Wearable Sensors Capture Ataxia Severity and Differ Across Motor Tasks and Directions of Motion.Cerebellum (London, England) · 2025Article
- Characterization of Upper Limb Motor Dysfunctions in Spinocerebellar Ataxia 38: Kinematic Analysis of the "Hand-to-Mouth" Task.Cerebellum (London, England) · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of ataxic movements is usually based on clinical judgment. Technical devices can be employed in the quantification of ataxic movements in addition to clinical evaluation. The effect of maximal speed in upper limb movements in ataxia patients has not been quantified. The aim was to quantify upper limb movements in patients with hereditary or idiopathic ataxia and to find features of movement that are characteristic for ataxia. We examined 19 patients with degenerative ataxia and 21 healthy controls. An ad hoc system comprising a touch screen, an accelerometer, and a gyroscope was used to measure speed, angular acceleration, consistency, and accuracy of upper limb movements. The movements were quantified during finger-to-nose test that the patients were asked to perform at their own pace and as fast as possible. Disease severity was estimated by using the Scale for the Assessment and Rating of Ataxia (SARA). The mean SARA score of the patients was 13.5. Compared to the controls the performance of the patients was slow (p < 0.001) and arrhythmic (p < 0.001), but end-point accuracy on the touch screen was intact. The SARA score correlated with the standard deviation of amplitude of angular acceleration in Z-axis (F(1,17) = 15.00, p < 0.001 with R
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Registered trials
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