Scientists propose a new model for classifying Parkinson’s.
The complexity of Parkinson’s disease poses significant challenges in developing effective treatments. This complexity stems from various causes, including genetics and environmental factors, coupled with the broad spectrum of symptoms that patients may experience, which can vary greatly in severity. Additionally, the diagnosis of Parkinson’s often occurs late, sometimes a decade or more after the disease has begun to affect the brain.
In a paper published in DOI: 10.1016/S1474-4422(23)00404-0
The study was funded by the Canada Foundation for Innovation, the Michael J. Fox Foundation for Parkinson’s Research, the Canadian Institutes of Health Research, Fonds de Recherche du Quebec–Santé, the Weston-Garfield Foundation, the Parkinson Society of Canada, the Webster Foundation, and the National Institute of Health.