ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022
Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- The efficacy of repetitive transcranial magnetic stimulation in patients with spinocerebellar ataxia: A systematic review and meta-analysis.Journal of the Chinese Medical Association : JCMA · 2025Pooled it
- The use of digital outcome measures in clinical trials in rare neurological diseases: a systematic literature review.Orphanet journal of rare diseases · 2023Pooled it
- An International Survey of Patients with Ataxia: Trends in Patient-Reported Symptoms.Cerebellum (London, England) · 2026Article
- Contrastive Learning Model for Wearable-Based Ataxia Assessment.IEEE transactions on bio-medical engineering · 2026Article
- IMU-based segmental root mean square analysis of gait in individuals with cerebellar ataxia: a pilot cross-sectional study.Scientific reports · 2025Article
- At-home wearables and machine learning capture motor impairment and progression in adult ataxias.Brain : a journal of neurology · 2025Article
- Longitudinal Assessment Reveals Stage-Dependent Utility of Digital Motor Markers in SCA1.Movement disorders clinical practice · 2025Article
- Longitudinal Study and Characterization of Gait Impairment in a Mouse Model of SCA1.Cerebellum (London, England) · 2025Article
- Submovements Derived from Wearable Sensors Capture Ataxia Severity and Differ Across Motor Tasks and Directions of Motion.Cerebellum (London, England) · 2025Article
- Capture of Longitudinal Change in Real-Life Walking in Cerebellar Ataxia Increases Patient Relevance and Effect Size.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Lurcher Mouse as a Model of Cerebellar Syndromes.Cerebellum (London, England) · 2025Review
- At-home wearable-based monitoring predicts clinical measures and biological biomarkers of disease severity in Friedreich's Ataxia.Communications medicine · 2024Article
- The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.Cerebellum (London, England) · 2024Review
- Scientometric Research and Critical Analysis of Gait and Balance in Older Adults.Sensors (Basel, Switzerland) · 2024Review
- Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.Cerebellum (London, England) · 2024Article
- Instrumented assessment of gait disturbance in PMM2-CDG adults: a feasibility analysis.Orphanet journal of rare diseases · 2024Article
- Rates of change of pons and middle cerebellar peduncle diameters are diagnostic of multiple system atrophy of the cerebellar type.Brain communications · 2024Article
- Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models.IEEE access : practical innovations, open solutions · 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
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the use of wearable sensors for objective measurement of motor impairment in spinocerebellar ataxia (SCA) patients during clinical assessments of gait and balance.
methodsIn total, 14 patients with genetically confirmed SCA (mean age 61.6 ± 8.6 years) and 4 healthy controls (mean age 49.0 ± 16.4 years) were recruited through the Massachusetts General Hospital (MGH) Ataxia Center. Participants donned seven inertial sensors while performing two independent trials of gait and balance assessments from the Scale for the Assessment and Rating of Ataxia (SARA) and Brief Ataxia Rating Scale (BARS2). Univariate analysis was used to identify sensor-derived metrics from wearable sensors that discriminate motor function between the SCA and control groups. Multivariate linear regression models were used to estimate the subjective in-person SARA/BARS2 ratings. Spearman correlation coefficients were used to evaluate the performance of the model.
resultsStride length variability, stride duration, cadence, stance phase, pelvis sway, and turn duration were different between SCA and controls (p < 0.05). Similarly, sway and sway velocity of the ankle, hip, and center of mass differentiated SCA and controls (p < 0.05). Using these features, linear regression models showed moderate-to-strong correlation with clinical scores from the in-person rater during SARA assessments of gait (r = 0.73, p = 0.003) and stance (r = 0.90, p < 0.001) and the BARS2 gait assessment (r = 0.74, p = 0.003).
conclusionThis study demonstrates that sensor-derived metrics can potentially be used to estimate the level of motor impairment in patient with SCA quickly and objectively. Thus, digital biomarkers from wearable sensors have the potential to be an integral tool for SCA clinical trials and care.
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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.