Literature DB >> 28967438

Identification of specific gait patterns in patients with cerebellar ataxia, spastic paraplegia, and Parkinson's disease: A non-hierarchical cluster analysis.

Mariano Serrao1, Giorgia Chini2, Matteo Bergantino3, Diego Sarnari3, Carlo Casali4, Carmela Conte5, Alberto Ranavolo6, Christian Marcotulli4, Martina Rinaldi2, Gianluca Coppola7, Fabiano Bini3, Francesco Pierelli8, Franco Marinozzi3.   

Abstract

BACKGROUND: Patients with degenerative neurological diseases such as cerebellar ataxia, spastic paraplegia, and Parkinson's disease often display progressive gait function decline that inexorably impacts their autonomy and quality of life. Therefore, considering the related social and economic costs, one of the most important areas of intervention in neurorehabilitation should be the treatment of gait abnormalities. This study aims to determine whether an entire dataset of gait parameters recorded in patients with degenerative neurological diseases can be clustered into homogeneous groups distinct from each other and from healthy subjects. Patients affected by three different types of primary degenerative neurological diseases were studied. These diseases were: i) cerebellar ataxia (28 patients), ii) hereditary spastic paraplegia (31 patients), and iii) Parkinson's disease (70 patients). Sixty-five gender-age-matched healthy subjects were enrolled as a control group. An optoelectronic motion analysis system was used to measure time-distance parameters and lower limb joint kinematics during gait in both patients and healthy controls. When clustering single parameters, step width and ankle joint range of motion (RoM) in the sagittal plane differentiated cerebellar ataxia group from the other groups. When clustering sets of two, three, or four parameters, several pairs, triples, and quadruples of clusters differentiated the cerebellar ataxia group from the other groups. Interestingly, the ankle joint RoM parameter was present in 100% of the clusters and the step width in approximately 50% of clusters. In addition, in almost all clusters, patients with cerebellar ataxia showed the lowest ankle joint RoM and the largest step width values compared to healthy controls, patients with hereditary spastic paraplegia, and Parkinson's disease subjects. This study identified several clusters reflecting specific gait patterns in patients with degenerative neurological diseases. In particular, the specific gait pattern formed by the increased step width, reduced ankle joint RoM, and increased gait variability, can differentiate patients with cerebellar ataxia from healthy subjects and patients with spastic paraplegia or Parkinson's disease. These abnormal parameters may be adopted as sensitive tools for evaluating the effect of pharmacological and rehabilitative treatments.
Copyright © 2017 Elsevier B.V. All rights reserved.

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Year:  2017        PMID: 28967438     DOI: 10.1016/j.humov.2017.09.005

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  10 in total

1.  The Working Life of People with Degenerative Cerebellar Ataxia.

Authors:  A Ranavolo; M Serrao; T Varrecchia; C Casali; A Filla; A Roca; A Silvetti; C Marcotulli; B M Rondinone; S Iavicoli; F Draicchio
Journal:  Cerebellum       Date:  2019-10       Impact factor: 3.847

2.  Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia: A Cross-Sectional Multicenter Clinical Study.

Authors:  Martin Regensburger; Imke Tabea Spatz; Malte Ollenschläger; Christine F Martindale; Philipp Lindeburg; Zacharias Kohl; Björn Eskofier; Jochen Klucken; Rebecca Schüle; Stephan Klebe; Jürgen Winkler; Heiko Gaßner
Journal:  Neurology       Date:  2022-06-06       Impact factor: 11.800

3.  A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Authors:  Jorge Marquez Chavez; Wei Tang
Journal:  Sensors (Basel)       Date:  2022-06-13       Impact factor: 3.847

4.  Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects.

Authors:  Veronica Ramirez; Ehsan Shokri-Kojori; Elizabeth A Cabrera; Corinde E Wiers; Kathleen Merikangas; Dardo Tomasi; Gene-Jack Wang; Nora D Volkow
Journal:  PLoS One       Date:  2018-04-27       Impact factor: 3.240

Review 5.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06

6.  Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson's Disease.

Authors:  Mariano Serrao; Giorgia Chini; Guido Caramanico; Michelangelo Bartolo; Stefano Filippo Castiglia; Alberto Ranavolo; Carmela Conte; Teresa Venditto; Gianluca Coppola; Cherubino di Lorenzo; Patrizio Cardinali; Francesco Pierelli
Journal:  Front Neurol       Date:  2019-08-02       Impact factor: 4.003

7.  Wearable Sensors Measure Ankle Joint Changes of Patients with Parkinson's Disease before and after Acute Levodopa Challenge.

Authors:  Zhuang Wu; Xu Jiang; Min Zhong; Bo Shen; Jun Zhu; Yang Pan; Jingde Dong; Pingyi Xu; Wenbin Zhang; Li Zhang
Journal:  Parkinsons Dis       Date:  2020-04-09

8.  An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters.

Authors:  Tiwana Varrecchia; Stefano Filippo Castiglia; Alberto Ranavolo; Carmela Conte; Antonella Tatarelli; Gianluca Coppola; Cherubino Di Lorenzo; Francesco Draicchio; Francesco Pierelli; Mariano Serrao
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

9.  Prognostic Biomarkers on a Competitive Endogenous RNA Network Reveals Overall Survival in Triple-Negative Breast Cancer.

Authors:  Wenxing Qin; Feng Qi; Jia Li; Ping Li; Yuan-Sheng Zang
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 6.244

10.  Dataset on gait patterns in degenerative neurological diseases.

Authors:  Mariano Serrao; Giorgia Chini; Matteo Bergantino; Diego Sarnari; Carlo Casali; Carmela Conte; Alberto Ranavolo; Christian Marcotulli; Martina Rinaldi; Gianluca Coppola; Fabiano Bini; Francesco Pierelli; Franco Marinozzi
Journal:  Data Brief       Date:  2017-12-12
  10 in total

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