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Digital motor biomarkers of cerebellar ataxia using an RGB-Depth camera-based motion analysis system

Item Type:Article
Title:Digital motor biomarkers of cerebellar ataxia using an RGB-Depth camera-based motion analysis system
Creators Name:Suzuki, M. and Hirano, S. and Otte, K. and Schmitz-Hübsch, T. and Izumi, M. and Tamura, M. and Kuroiwa, R. and Sugiyama, A. and Mori, M. and Röhling, H.M. and Brandt, A.U. and Murata, A. and Paul, F. and Kuwabara, S:
Abstract:This study aimed to identify quantitative biomarkers of motor function for cerebellar ataxia by evaluating gait and postural control using an RGB-depth camera-based motion analysis system. In 28 patients with degenerative cerebellar ataxia and 33 age- and sex-matched healthy controls, motor tasks (short-distance walk, closed feet stance, and stepping in place) were selected from a previously reported protocol, and scanned using Kinect V2 and customized software. The Clinical Assessment Scale for the Assessment and Rating of Ataxia (SARA) was also evaluated. Compared with the normal control group, the cerebellar ataxia group had slower gait speed and shorter step lengths, increased step width, and mediolateral trunk sway in the walk test (all P < 0.001). Lateral sway increased in the stance test in the ataxia group (P < 0.001). When stepping in place, the ataxia group showed higher arrhythmicity of stepping and increased stance time (P < 0.001). In the correlation analyses, the ataxia group showed a positive correlation between the total SARA score and arrhythmicity of stepping in place (r = 0.587, P = 0.001). SARA total score (r = 0.561, P = 0.002) and gait subscore (ρ = 0.556, P = 0.002) correlated with mediolateral truncal sway during walking. These results suggest that the RGB-depth camera-based motion analyses on mediolateral truncal sway during walking and arrhythmicity of stepping in place are useful digital motor biomarkers for the assessment of cerebellar ataxia, and could be utilized in future clinical trials.
Keywords:Cerebellar Ataxia, Gait Ataxia, Postural Control, Motion Analysis, RGB-Depth Sensor, Kinect
Source:Cerebellum
ISSN:1473-4222
Publisher:Springer
Date:18 September 2023
Official Publication:https://doi.org/10.1007/s12311-023-01604-7
PubMed:View item in PubMed

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