Phenotypic analysis of ataxia in spinocerebellar ataxia type 6 mice using DeepLabCut.

ABSTRACT: This study emphasizes the benefits of open-source software such as DeepLabCut (DLC) and R to automate, customize and enhance data analysis of motor behavior. We recorded 2 different spinocerebellar ataxia type 6 mouse models while performing the classic beamwalk test, tracked multiple body parts using the markerless pose-estimation software DLC and analyzed the tracked data using self-written scripts in the programming language R. The beamwalk analysis script (BAS) counts and classifies minor and major hindpaw slips with an 83% accuracy compared to manual scoring. Nose, belly and tail positions relative to the beam, as well as the angle at the tail base relative to the nose and tail tip were determined to characterize motor deficits in greater detail. Our results found distinct ataxic abno

SUBMITTER: Piotrowski D 

PROVIDER: S-EPMC11014858 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature