ArticleCerebellum (London, England)2021
Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia.
Article in Cerebellum (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 61 citations in OpenAlex.
- The association between upper limb motor performances and gait dynamics in essential tremor: an emerging relationship.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Contrastive Learning Model for Wearable-Based Ataxia Assessment.IEEE transactions on bio-medical engineering · 2026Article
- Quantifying Slowness in Parkinson Disease Using a Serious Game: Cross-Sectional Study.JMIR serious games · 2026Article
- Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- 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
- A digital measure of eye movements during reading sensitively captures oculomotor and speech dysfunction, early changes, and disease progression in ataxias.medRxiv : the preprint server for health sciences · 2025Article
- Smartphone Application for Spastic Ataxias Cross-Sectional Validation of a Newly Developed Smartphone App for Remote Monitoring in Spastic Ataxias.Cerebellum (London, England) · 2025Article
- Using wearable sensors and machine learning to assess upper limb function in Huntington's disease.Communications medicine · 2025Article
- Multimodal Digital Phenotyping of Behavior in a Neurology Clinic: Development of the Neurobooth Platform and the First Two Years of Data Collection.medRxiv : the preprint server for health sciences · 2025Article
- Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024Review
- Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors' Motor Ability.Neurorehabilitation and neural repair · 2024Article
- Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.Cerebellum (London, England) · 2024Review
- Multifeature quantitative motor assessment of upper limb ataxia including drawing and reaching.Annals of clinical and translational neurology · 2024Article
- Article
- Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models.IEEE access : practical innovations, open solutions · 2024Article
- Rates of change of pons and middle cerebellar peduncle diameters are diagnostic of multiple system atrophy of the cerebellar type.Brain communications · 2024Article
- Ataxia Rating Scales Reflect Patient Experience: an Examination of the Relationship Between Clinician Assessments of Cerebellar Ataxia and Patient-Reported Outcomes.Cerebellum (London, England) · 2023Article
- Estimation of ataxia severity in children with ataxia-telangiectasia using ankle-worn sensors.Journal of neurology · 2023Article
- At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.Nature communications · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Technologies that enable frequent, objective, and precise measurement of ataxia severity would benefit clinical trials by lowering participation barriers and improving the ability to measure disease state and change. We hypothesized that analyzing characteristics of sub-second movement profiles obtained during a reaching task would be useful for objectively quantifying motor characteristics of ataxia. Participants with ataxia (N=88), participants with parkinsonism (N=44), and healthy controls (N=34) performed a computer tablet version of the finger-to-nose test while wearing inertial sensors on their wrists. Data features designed to capture signs of ataxia were extracted from participants' decomposed wrist velocity time-series. A machine learning regression model was trained to estimate overall ataxia severity, as measured by the Brief Ataxia Rating Scale (BARS). Classification models were trained to distinguish between ataxia participants and controls and between ataxia and parkinsonism phenotypes. Movement decomposition revealed expected and novel characteristics of the ataxia phenotype. The distance, speed, duration, morphology, and temporal relationships of decomposed movements exhibited strong relationships with disease severity. The regression model estimated BARS with a root mean square error of 3.6 points, r
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.