Clinical and neuroimaging correlates of disease related gait patterns in patients with multiple system atrophy cerebellar type.

ABSTRACT: Multiple system atrophy-cerebellar type (MSA-C) is a rapidly progressive neurodegenerative disorder, yet objective digital biomarkers for disease severity remain scarce. This cross-sectional study aimed to identify disease-relevant gait patterns using a 2D video-based gait analysis algorithm and examine their clinical and neuroimaging correlates. Gait features were extracted from videos of patients with MSA-C using Gaitome, and an MSA-C gait pattern score was derived. This score significantly distinguished MSA-C from healthy controls (area under the curve = 0.98) and showed significant correlations with UMSAR part I (r = 0.49, p = 0.0014), part II (r = 0.51, p = 0.0014), MMSE (r = - 0.43, p = 0.012), and MoCA (r = - 0.34, p = 0.049). Tractography revealed significant associations between t

SUBMITTER: Lee S 

PROVIDER: S-EPMC12706005 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature