ArticleJournal of movement disorders2017
Quantitative Gait Analysis in Patients with Huntington's Disease.
Article in Journal of movement disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Demographic Shortcuts Account for Most of the Apparent Accuracy of Four-Class Gait-Based Differential Diagnosis in Neurodegenerative Disease: An Interpretability-Driven Audit of Machine Learning on a Public Gait Benchmark.Bioengineering (Basel, Switzerland) · 2026Article
- The common and specific osteoarthritis gait characteristics: A quantitative grading system for OA associated gait changes in mice.Osteoarthritis and cartilage open · 2026Article
- The regulation of rhythmic locomotion by motor cortical and dopaminergic inputs in the mouse striatum.Molecular brain · 2025Article
- The Vestibulo-Ocular Reflex is Associated With Visuospatial Dysfunction in Patients With Parkinson's Disease.Brain and behavior · 2025Article
- Eye Movement and Gait Variability Analysis in Chinese Patients With Huntington's Disease.Journal of movement disorders · 2025Article
- Gene-dosage- and sex-dependent differences in the prodromal-Like phase of the F344tgHD rat model for Huntington disease.Frontiers in neuroscience · 2024Article
- Spatiotemporal Gait Parameters in Adults With Premanifest and Manifest Huntington's Disease: A Systematic Review.Journal of movement disorders · 2023Article
- Identification of Neurodegenerative Diseases Based on Vertical Ground Reaction Force Classification Using Time-Frequency Spectrogram and Deep Learning Neural Network Features.Brain sciences · 2021Article
- Cerebral dopamine neurotrophic factor (CDNF) protects against quinolinic acid-induced toxicity in in vitro and in vivo models of Huntington's disease.Scientific reports · 2020Article
- Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction.Sensors (Basel, Switzerland) · 2020Article
- Gait variability as digital biomarker of disease severity in Huntington's disease.Journal of neurology · 2020Observational
- Rapid and robust patterns of spontaneous locomotor deficits in mouse models of Huntington's disease.PloS one · 2020Article
- The effects of dual-task cognitive interference on gait and turning in Huntington's disease.PloS one · 2020Article
- Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.Computational and mathematical methods in medicine · 2019Article
- Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review.Digital healthReview
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGait disturbance is the main factor contributing to a negative impact on quality of life in patients with Huntington's disease (HD). Understanding gait features in patients with HD is essential for planning a successful gait strategy. The aim of this study was to investigate temporospatial gait parameters in patients with HD compared with healthy controls.
methodsWe investigated 7 patients with HD. Diagnosis was confirmed by genetic analysis, and patients were evaluated with the Unified Huntington's Disease Rating Scale (UHDRS). Gait features were assessed with a gait analyzer. We compared the results of patients with HD to those of 7 age- and sex-matched normal controls.
resultsStep length and stride length were decreased and base of support was increased in the HD group compared to the control group. In addition, coefficients of variability for step and stride length were increased in the HD group. The HD group showed slower walking velocity, an increased stance/swing phase in the gait cycle and a decreased proportion of single support time compared to the control group. Cadence did not differ significantly between groups. Among the UHDRS subscores, total motor score and total behavior score were positively correlated with step length, and total behavior score was positively correlated with walking velocity in patients with HD.
conclusionIncreased variability in step and stride length, slower walking velocity, increased stance phase, and decreased swing phase and single support time with preserved cadence suggest that HD gait patterns are slow, ataxic and ineffective. This study suggests that quantitative gait analysis is needed to assess gait problems in HD.
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