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© 2014 Elsevier B.V. Huntington's disease (HD) is a progressive inherited neurodegenerative disorder. Identifying sensitive methodologies to quantitatively measure early motor changes have been difficult to develop. This exploratory observational study investigated gait variability and symmetry in HD using phase plot analysis. We measured the walking of 22 controls and 35 HD gene carriers (7 premanifest (PreHD)), 16 early/mid (HD1) and 12 late stage (HD2) in Oxford and Cardiff, UK. The unified Huntington's disease rating scale-total motor scores (UHDRS-TMS) and disease burden scores (DBS) were used to quantify disease severity. Data was collected during a clinical walk test (8.8 or 10m) using an inertial measurement unit attached to the trunk. The 6 middle strides were used to calculate gait variability determined by spatiotemporal parameters (co-efficient of variation (CoV)) and phase plot analysis. Phase plots considered the variability in consecutive wave forms from vertical movement and were quantified by SD A (spatiotemporal variability), SD B (temporal variability), ratio ∀ (ratio SD A :SD B ) and δangleβ (symmetry). Step time CoV was greater in manifest HD (p < 0.01, both manifest groups) than controls, as was stride length CoV for HD2 (p < 0.01). No differences were found in spatiotemporal variability between PreHD and controls (p > 0.05). Phase plot analysis identified differences between manifest HD and controls for SD B , Ratio ∀ and δangle (all p < 0.01, both manifest groups). Furthermore Ratio ∀ was smaller in PreHD compared with controls (p < 0.01). Ratio ∀ also produced the strongest correlation with UHDRS-TMS (r=-0.61, p < 0.01) and was correlated with DBS (r=-0.42, p=0.02). Phase plot analysis may be a sensitive method of detecting gait changes in HD and can be performed quickly during clinical walking tests.

Original publication

DOI

10.1016/j.gaitpost.2014.08.001

Type

Journal article

Journal

Gait and Posture

Publication Date

01/01/2014

Volume

40

Pages

694 - 700