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 ( 14)
Research Grant, 2018
There is a pressing need for Parkinson's disease (PD) biomarkers -- objective measures of disease -- that will enable early and accurate diagnosis and allow to track disease progression and therapeutic improvement. We have developed a new mathematical method to characterize PD-related brain networks. This method is based on a mathematical analysis of data collected via resting sta...
Access to Data and Biospecimens, 2018
Uric acid is a chemical produced naturally in the human body. In this project, we aim to investigate whether uric acid is an antioxidant capable of reducing the risk of Parkinson's disease (PD), and in particular, its inherited form caused by a change -- mutation -- in the gene for leucine-rich repeat kinase 2 (LRRK2), the greatest known genetic contributor to PD. In this study...
Researchers: Rachit Bakshi, PhD
Biomarkers Across Neurodegenerative Diseases, 2018
This study builds on two recent discoveries in neuroscience: first, the brain is organized in large-scale networks of nerve cells; and second, the clumps of alpha-synuclein, amyloid and tau -- proteins implicated in Parkinson's disease (PD) and Alzheimer's disease (AD) -- can spread from nerve cell to nerve cell, like infection.
Parkinson's and Alzheimer's affect diffe...
Researchers: Alain Dagher, MD
Improved Biomarkers and Clinical Outcome Measures, 2018
Biomarkers are objectively measurable characteristics that can be used to diagnose a disease or to track its progression. In this study, we will explore circular RNAs -- a recently discovered type of RNA, a molecule that plays a role in protein production -- as a possible biomarker of Parkinson's disease (PD). We aim to find a specific type of circular RNA useful in diagnosing PD ...
Researchers: Gavin Hudson, PhD
Research Grant, 2018
Parkinson's disease is highly variable, so each patient has a unique experience of the disease and diverse contributing factors. To understand and ultimately treat Parkinson's, we need to identify those differences as disease subtypes. The goal of this project is to develop data-driven approaches for identifying cohesive subtypes for Parkinson's patients in BioFIND study using the...
Researchers: Fei Wang, PhD