ArticleCerebellum (London, England)2022
Free-Living Motor Activity Monitoring in Ataxia-Telangiectasia.
Article in Cerebellum (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Continuous Movement Monitoring at Home Through Wearable Devices: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Pooled it
- Childhood-onset neurodegeneration and brain atrophy: definingJournal of medical genetics · 2026Article
- Contrastive Learning Model for Wearable-Based Ataxia Assessment.IEEE transactions on bio-medical engineering · 2026Article
- Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design.Proceedings of the ACM on human-computer interaction · 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
- Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025Review
- Wrist accelerometry and machine learning sensitively capture disease progression in prodromal Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Accelerometer-based measures in Friedreich ataxia: a longitudinal study on real-life activity.Frontiers in pharmacology · 2024Article
- Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models.IEEE access : practical innovations, open solutions · 2024Article
- At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.Nature communications · 2023Article
- Quantitative Characterization of Gait Patterns in Individuals with Spinocerebellar Ataxia 38.Bioengineering (Basel, Switzerland) · 2023Article
- Real-life Wrist Movement Patterns Capture Motor Impairment in Individuals with Ataxia-Telangiectasia.Cerebellum (London, England) · 2023Article
- Accuracy and Reliability of At-home Quantification of Motor Impairments Using a Computer-based Pointing Task with Children with Ataxia-Telangiectasia.ACM transactions on accessible computing · 2023Article
- Real-life ankle submovements and computer mouse use reflect patient-reported function in adult ataxias.Brain communications · 2023Article
- Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches.Sensors (Basel, Switzerland) · 2022Article
- Prediction of the disease course in Friedreich ataxia.Scientific reports · 2022Article
- Identification of the Prodromal Symptoms and Pre-Ataxic Stage in Cerebellar Disorders: The Next Challenge.International journal of environmental research and public health · 2021Article
- Automatic Classification and Severity Estimation of Ataxia From Finger Tapping Videos.Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With disease-modifying approaches under evaluation in ataxia-telangiectasia and other ataxias, there is a need for objective and reliable biomarkers of free-living motor function. In this study, we test the hypothesis that metrics derived from a single wrist sensor worn at home provide accurate, reliable, and interpretable information about neurological disease severity in children with A-T.A total of 15 children with A-T and 15 age- and sex-matched controls wore a sensor with a triaxial accelerometer on their dominant wrist for 1 week at home. Activity intensity measures, derived from the sensor data, were compared with in-person neurological evaluation on the Brief Ataxia Rating Scale (BARS) and performance on a validated computer mouse task.Children with A-T were inactive the same proportion of each day as controls but produced more low intensity movements (p < 0.01; Cohen's d = 1.48) and fewer high intensity movements (p < 0.001; Cohen's d = 1.71). The range of activity intensities was markedly reduced in A-T compared to controls (p < 0.0001; Cohen's d = 2.72). The activity metrics correlated strongly with arm, gait, and total clinical severity (r: 0.71-0.87; p < 0.0001), correlated with specific computer task motor features (r: 0.67-0.92; p < 0.01), demonstrated high reliability (r: 0.86-0.93; p < 0.00001), and were not significantly influenced by age in the healthy control group.Motor activity metrics from a single, inexpensive wrist sensor during free-living behavior provide accurate and reliable information about diagnosis, neurological disease severity, and motor performance. These low-burden measurements are applicable independent of ambulatory status and are potential digital behavioral biomarkers in A-T.
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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 Socratic graph.