Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.

ABSTRACT: Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for prediction of disease progression. Several neuroimaging biomarkers have been studied recently, but these are susceptible to several sources of variability related for instance to cohort selection or image analysis. In this context, an evaluation of the robustness of such biomarkers to variations in the data processing workflow is essential. This study is part of a larger project investigating the replicability of potential neuroimaging biomarkers of PD. Here, we attempt to fully reproduce (reimplementing the experiments with the same methods, including data collection from the same database) and replicate (different

SUBMITTER: Germani E 

PROVIDER: S-EPMC11844873 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature