The Foundation supports research across basic, translational and clinical science to speed breakthroughs that can lead to the creation of new treatments and a better quality of life for people with Parkinson's disease.
Search or browse funded studies
Previously funded studies appear chronologically, with the most recent appearing first.
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Research Grant, 2016LRRK2 Non-coding Variation in Parkinson's Disease
Study Rationale:
Genetic studies looking at differences in DNA have identified key genes that can cause Parkinson's disease (PD) in families and contribute to the overall risk of developing sporadic... -
Target Advancement Program, 2016Alpha-synuclein-induced Astroglial Inflammation as a Trigger of Parkinson's Disease
Study Rationale:
Astrocytes are important cells in the brain. They play a major role in brain inflammation and neurodegeneration; however, their role in Parkinson's disease (PD) is unclear. The protein... -
Target Advancement Program, 2016LRRK2 Kinase Activity and Mitochondrial DNA Damage in Parkinson's Disease
Study Rationale:
LRRK2 is a protein regulated by kinases (protein regulators) and is also subject to autophosphorylation (auto-regulation). Several mutations of LRRK2 increase the kinase activity of... -
Access to Data and Biospecimens, 2016Total and Proteinase K-resistant Alpha-synuclein in BioFIND Samples
Study Rationale:
This project aims to find biomarkers for the diagnosis and prognosis of Parkinson's disease (PD). Levels of alpha-synuclein, a protein associated with the pathogenic mechanism of PD... -
Research Grant, 2016Immune and Bioenergetic Effects of Alpha-synuclein Preformed Fibril Seeding
Study Rationale:
One of the hallmarks of Parkinson's disease (PD) is the presence and aggregation (clumping) of a misfolded protein called alpha-synuclein; however, we do not know how this misfolding... -
Research Grant, 2016Multi-center Study of EEG Biomarkers for Alpha-synucleinopathy Diagnosis and Prognosis Decision Support Tools Using Machine Learning
Promising Outcomes of Original Grant:
In our original study, the aim was to develop computational tools based on signal processing and machine learning for the diagnosis and prediction of Parkinson's...
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Our funding programs support basic, translational and clinical research from academia and industry.