Skip Navigation
Skip to contents

JMD : Journal of Movement Disorders

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse Articles > Author index
Search
Hanjun Kim 1 Article
Quantitative Gait Analysis in Patients with Huntington’s Disease
Seon Jong Pyo, Hanjun Kim, Il Soo Kim, Young-Min Park, Mi-Jung Kim, Hye Mi Lee, Seong-Beom Koh
J Mov Disord. 2017;10(3):140-144.   Published online August 31, 2017
DOI: https://doi.org/10.14802/jmd.17041
  • 7,996 View
  • 148 Download
  • 19 Web of Science
  • 20 Crossref
AbstractAbstract PDF
Objective
Gait 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.
Methods
We 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.
Results
Step 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.
Conclusion
Increased 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.

Citations

Citations to this article as recorded by  
  • Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
    Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, Kristina Yordanova
    ACM Computing Surveys.2024; 56(1): 1.     CrossRef
  • The semicircular canal function is preserved with little impact on falls in patients with mild Parkinson's disease
    Jun-Pyo Hong, Hanim Kwon, Euyhyun Park, Sun-Uk Lee, Chan-Nyoung Lee, Byung-Jo Kim, Ji-Soo Kim, Kun-Woo Park
    Parkinsonism & Related Disorders.2024; 118: 105933.     CrossRef
  • Gene-dosage- and sex-dependent differences in the prodromal-Like phase of the F344tgHD rat model for Huntington disease
    Veronika Ratz-Wirsching, Johanna Habermeyer, Sandra Moceri, Julia Harrer, Christoph Schmitz, Stephan von Hörsten
    Frontiers in Neuroscience.2024;[Epub]     CrossRef
  • Vision-based motion capture for the gait analysis of neurodegenerative diseases: A review
    David Sing Yee Vun, Robert Bowers, Anthony McGarry
    Gait & Posture.2024; 112: 95.     CrossRef
  • Estimation of Gait Parameters in Huntington’s Disease Using Wearable Sensors in the Clinic and Free-living Conditions
    Manuel Lozano-García, Emer P. Doheny, Elliot Mann, Philippa Morgan-Jones, Cheney Drew, Monica Busse-Morris, Madeleine M. Lowery
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2024; 32: 2239.     CrossRef
  • Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
    Huan Zhao, Junyi Cao, Junxiao Xie, Wei-Hsin Liao, Yaguo Lei, Hongmei Cao, Qiumin Qu, Chris Bowen
    DIGITAL HEALTH.2023;[Epub]     CrossRef
  • Spatiotemporal Gait Parameters in Adults With Premanifest and Manifest Huntington’s Disease: A Systematic Review
    Sasha Browning, Stephanie Holland, Ian Wellwood, Belinda Bilney
    Journal of Movement Disorders.2023; 16(3): 307.     CrossRef
  • Walking pattern analysis using GAIT cycles and silhouettes for clinical applications
    S.M.H. Sithi Shameem Fathima, K.A. Jyotsna, Thiruveedula Srinivasulu, Kande Archana, M. Tulasi rama, S. Ravichand
    Measurement: Sensors.2023; 30: 100893.     CrossRef
  • Human Gait Analysis in Neurodegenerative Diseases: A Review
    Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, Roberto Marani, Giuseppe Pirlo, Tiziana R. D'Orazio
    IEEE Journal of Biomedical and Health Informatics.2022; 26(1): 229.     CrossRef
  • Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization
    Febryan Setiawan, An-Bang Liu, Che-Wei Lin
    IEEE Access.2022; 10: 38137.     CrossRef
  • Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
    Alexandra-Maria Tăuţan, Bogdan Ionescu, Emiliano Santarnecchi
    Artificial Intelligence in Medicine.2021; 117: 102081.     CrossRef
  • Identification of Neurodegenerative Diseases Based on Vertical Ground Reaction Force Classification Using Time–Frequency Spectrogram and Deep Learning Neural Network Features
    Febryan Setiawan, Che-Wei Lin
    Brain Sciences.2021; 11(7): 902.     CrossRef
  • The effects of dual-task cognitive interference on gait and turning in Huntington’s disease
    Nicollette L. Purcell, Jennifer G. Goldman, Bichun Ouyang, Yuanqing Liu, Bryan Bernard, Joan A. O’Keefe, Pedro Gonzalez-Alegre
    PLOS ONE.2020; 15(1): e0226827.     CrossRef
  • Gait variability as digital biomarker of disease severity in Huntington’s disease
    Heiko Gaßner, Dennis Jensen, F. Marxreiter, Anja Kletsch, Stefan Bohlen, Robin Schubert, Lisa M. Muratori, Bjoern Eskofier, Jochen Klucken, Jürgen Winkler, Ralf Reilmann, Zacharias Kohl
    Journal of Neurology.2020; 267(6): 1594.     CrossRef
  • Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction
    Che-Wei Lin, Tzu-Chien Wen, Febryan Setiawan
    Sensors.2020; 20(14): 3857.     CrossRef
  • Cerebral dopamine neurotrophic factor (CDNF) protects against quinolinic acid-induced toxicity in in vitro and in vivo models of Huntington’s disease
    P. Stepanova, V. Srinivasan, D. Lindholm, M. H. Voutilainen
    Scientific Reports.2020;[Epub]     CrossRef
  • Rapid and robust patterns of spontaneous locomotor deficits in mouse models of Huntington’s disease
    Taneli Heikkinen, Timo Bragge, Niina Bhattarai, Teija Parkkari, Jukka Puoliväli, Outi Kontkanen, Patrick Sweeney, Larry C. Park, Ignacio Munoz-Sanjuan, Yuqing Li
    PLOS ONE.2020; 15(12): e0243052.     CrossRef
  • Rule based classification of neurodegenerative diseases using data driven gait features
    Kartikay Gupta, Aayushi Khajuria, Niladri Chatterjee, Pradeep Joshi, Deepak Joshi
    Health and Technology.2019; 9(4): 547.     CrossRef
  • Discovery of Arginine Ethyl Ester as Polyglutamine Aggregation Inhibitor: Conformational Transitioning of Huntingtin N-Terminus Augments Aggregation Suppression
    Virender Singh, Kinjal A. Patel, Raj Kumar Sharma, Pratik R. Patil, Abhayraj S. Joshi, Rashmi Parihar, Thamarailingam Athilingam, Neeraj Sinha, Subramaniam Ganesh, Pradip Sinha, Ipsita Roy, Ashwani Kumar Thakur
    ACS Chemical Neuroscience.2019; 10(9): 3969.     CrossRef
  • Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study
    Eddy Sánchez-DelaCruz, Roberto Weber, R. R. Biswal, Jose Mejía, Gandhi Hernández-Chan, Heberto Gómez-Pozos
    Computational and Mathematical Methods in Medicine.2019; 2019: 1.     CrossRef

JMD : Journal of Movement Disorders Twitter
Close layer
TOP