http://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-017-0249-7
- Akira Matsushima,
- Kunihiro YoshidaEmail author,
- Hirokazu Genno and
- Shu-ichi Ikeda
Journal of NeuroEngineering and Rehabilitation201714:37
DOI: 10.1186/s12984-017-0249-7
© The Author(s). 2017
Received: 25 October 2016
Accepted: 27 April 2017
Published: 2 May 2017
Abstract
Background
It is quite difficult to
evaluate ataxic gait quantitatively in clinical practice. The aim of
this study was to analyze the characteristics of ataxic gait using a
triaxial accelerometer and to develop a novel biomarker of integrated
gate parameters for ataxic gait.
Methods
Sixty-one patients with
spinocerebellar ataxia (SCA) or multiple system atrophy with predominant
cerebellar ataxia (MSA-C) and 57 healthy control subjects were
enrolled. The subjects were instructed to walk 10 m for a total of 12
times on a flat floor at their usual walking speed with a triaxial
accelerometer attached to their back. Gait velocity, cadence, step
length, step regularity, step symmetry, and degree of body sway were
evaluated. Principal component analysis (PCA) was used to analyze the
multivariate gait parameters. The Scale for the Assessment and Rating of
Ataxia (SARA) was evaluated on the same day of the 10-m walk trial.
Results
PCA divided the gait
parameters into four principal components in the controls and into two
principal components in the patients. The four principal components in
the controls were similar to those found in earlier studies. The second
principal component in the patients had relevant factor loading values
for gait velocity, step length, regularity, and symmetry in addition to
the degree of body sway in the medio-lateral direction. The second
principal component score (PCS) in the patients was significantly
correlated with disease duration and the SARA score of gait (ρ = −0.363, p = 0.004; ρ = −0.574, p < 0.001, respectively).
Conclusions
PCA revealed the main
component of ataxic gait. The PCS of the main component was
significantly different between the patients and controls, and it was
well correlated with disease duration and the SARA score of gait in the
patients. We propose that this score provides a novel method to assess
the severity of ataxic gait quantitatively using a triaxial
accelerometer.
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