Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning
ConclusionSCA gait parameters were characterized by a reduced stride length, slower walking velocity, and longer supporting phase. Additionally, a smaller cerebellar volume correlated with an increased irregularity in gait. Gait characteristics exhibited considerable clinical relevance to hereditary SCA. We conclude that a combination of gait parameters, ataxia scales, and MRVD may represent more objective markers for clinical evaluations of SCA.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research
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