Corrigendum: A progression analysis of motor features in Parkinson's disease based on the mapper algorithm.

[This corrects the article DOI: 10.3389/fnagi.2023.

A progression analysis of motor features in Parkinson's disease based on the mapper algorithm.

Background: Parkinson's disease (PD) is a neurodegenerative disease with a broad spectrum of motor and non-motor symptoms. The great heterogeneity of clinical symptoms, biomarkers, and neuroimaging and lack of reliable progression markers present a significant challenge in predicting disease progression and prognoses.

Methods: We propose a new approach to disease progression analysis based on the mapper algorithm, a tool from topological data analysis.