» Articles » PMID: 38894268

Gait Variability As a Potential Motor Marker of Cerebellar Disease-Relationship Between Variability of Stride, Arm Swing and Trunk Movements, and Walking Speed

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2024 Jun 19
PMID 38894268
Authors
Affiliations
Soon will be listed here.
Abstract

Excessive stride variability is a characteristic feature of cerebellar ataxias, even in pre-ataxic or prodromal disease stages. This study explores the relation of variability of arm swing and trunk deflection in relationship to stride length and gait speed in previously described cohorts of cerebellar disease and healthy elderly: we examined 10 patients with spinocerebellar ataxia type 14 (SCA), 12 patients with essential tremor (ET), and 67 healthy elderly (HE). Using inertial sensors, recordings of gait performance were conducted at different subjective walking speeds to delineate gait parameters and respective coefficients of variability (CoV). Comparisons across cohorts and walking speed categories revealed slower stride velocities in SCA and ET patients compared to HE, which was paralleled by reduced arm swing range of motion (RoM), peak velocity, and increased CoV of stride length, while no group differences were found for trunk deflections and their variability. Larger arm swing RoM, peak velocity, and stride length were predicted by higher gait velocity in all cohorts. Lower gait velocity predicted higher CoV values of trunk sagittal and horizontal deflections, as well as arm swing and stride length in ET and SCA patients, but not in HE. These findings highlight the role of arm movements in ataxic gait and the impact of gait velocity on variability, which are essential for defining disease manifestation and disease-related changes in longitudinal observations.

References
1.
Walter J, Alvina K, Womack M, Chevez C, Khodakhah K . Decreases in the precision of Purkinje cell pacemaking cause cerebellar dysfunction and ataxia. Nat Neurosci. 2006; 9(3):389-97. DOI: 10.1038/nn1648. View

2.
Ilg W, Golla H, Thier P, Giese M . Specific influences of cerebellar dysfunctions on gait. Brain. 2007; 130(Pt 3):786-98. DOI: 10.1093/brain/awl376. View

3.
Konig N, Singh N, von Beckerath J, Janke L, Taylor W . Is gait variability reliable? An assessment of spatio-temporal parameters of gait variability during continuous overground walking. Gait Posture. 2013; 39(1):615-7. DOI: 10.1016/j.gaitpost.2013.06.014. View

4.
Schmitz-Hubsch T, Brandt A, Pfueller C, Zange L, Seidel A, Kuhn A . Accuracy and repeatability of two methods of gait analysis - GaitRite™ und Mobility Lab™ - in subjects with cerebellar ataxia. Gait Posture. 2016; 48:194-201. DOI: 10.1016/j.gaitpost.2016.05.014. View

5.
Elshehabi M, Del Din S, Hobert M, Warmerdam E, Sunkel U, Schmitz-Hubsch T . Walking parameters of older adults from a lower back inertial measurement unit, a 6-year longitudinal observational study. Front Aging Neurosci. 2022; 14:789220. PMC: 9511986. DOI: 10.3389/fnagi.2022.789220. View