The Foundation supports research that can lead to the creation of better Parkinson's treatments. Here you can search previously awarded grants by keyword, program name, researcher name, institution or organization name and/or year.
FUNDED GRANTS ( 11)
Computational Science 2017, 2017
Parkinson's disease (PD) symptoms and progression vary greatly, making each Parkinson's experience unique. The goal of this study is to winnow out the most relevant factors influencing individual Parkinson's experience from a large pool of clinical data. Identifying these factors will help researchers predict how Parkinson's progression in each case. Also, targeting processes that...
Researchers: Caleb Webber, PhD
PPMI Data Challenge, 2016
As Parkinson's disease (PD) is highly heterogeneous, identifying coherent PD subtypes is crucial for understanding the underlying mechanism of the disease and designing and testing appropriate therapies. Existing studies mostly focus on discovering static patterns among PD patients with vector-based models. However, the disease progression patterns of PD patients could also be very...
PPMI Data Challenge, 2016
Multivariate Prediction of Parkinson's Disease Clinical Progression (2016 PPMI Data Challenge Winner)
Parkinson's disease (PD) is heterogeneous in both clinical representation and prognosis, as indicated by a large diversity of rates of progression in motor as well as non-motor symptoms. It could therefore be helpful to have well-characterized and distinct subtypes of Parkinson's disease slow and fast clinical progression and have early indicators of the clinical progression rate f...
Researchers: Duygu Tosun-Turgut, PhD
Access to Data and Biospecimens, 2014
Although Parkinson's disease (PD) is diagnosed as a movement disorder, motor deficits are preceded by non-motor features including cognitive, cardiovascular, gastrointestinal, psychiatric and sleep disturbances. Characterizing patterns of such non-motor features in early, medication-nave PD may allow for improved treatment.
This study will use cluster anal...
Researchers: Samay Jain, MD, MS
Research Grant, 2013
Validation of the Movement Disorders Society Criteria for Mild Cognitive Impairment in Parkinson's Disease
Dementia in Parkinson's disease (PD) is a serious health issue and a major concern for many PD patients. Mild cognitive impairment (MCI) is considered a transitional stage between normal cognitive functioning and Parkinson's disease dementia. Therefore, MCI monitoring can be used for early identification of those PD patients at risk for the development of dementia. Re...
Researchers: Gert J. Geurtsen, PhD, MSc