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Funded Studies

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.

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Previously funded studies appear chronologically, with the most recent appearing first.

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  • Data-Driven Subtyping and Stratification Program, 2023
    Identifying Proteomic Biomarkers for Monitoring the Progression of Parkinson’s Pathophysiology

    Study Rationale: Parkinson’s disease (PD) is often diagnosed at a stage where the disease has progressed significantly, restricting treatment options and limiting the opportunity to understand how the...

  • Circuits & Cellular Targets for PD’s Symptoms, 2023
    Pathophysiology of Neural Circuits Underlying Pain in Prodromal to Advanced Parkinson’s Disease

    Study Rationale: Many people with Parkinson’s disease (PD) suffer from pain that is not managed well by existing therapies. We believe the ineffectiveness of these treatment strategies may be due to a...

  • Translational Pipeline Program, 2023
    Evaluating Use of a Spinal Cord Prosthesis to Alleviate Locomotor Deficits in Parkinson’s Disease

    Study Rationale: Over the past two decades, we have developed a therapy that restores walking after paralysis due to a spinal cord injury. This therapy uses an implanted neurostimulation prosthesis to...

  • Aligning Science Across Parkinson's, 2023
    (Supplement) Exploring the Mechanisms by which Co-pathologies Drive Neuroinflammation and Progression in Parkinson’s Disease

    Study Rationale: Although Parkinson’s disease (PD) is considered a synucleinopathy, the clinical progression of PD is driven by additional pathological proteins such as tau and beta amyloid. We...

  • Accelerating Biological Understanding and Therapeutic Translation for Parkinson’s Disease Program, 2023
    Surviving on Borrowed Energy: Using Mitochondrial Transfer to Treat Parkinson’s Disease

    Study Rationale: By the time the symptoms of Parkinson’s disease (PD) appear, many of the brain cells that produce the chemical dopamine have already died. This loss of dopamine-making cells leads to...

  • Data-Driven Subtyping and Stratification Program, 2023
    Using Machine Learning on Longitudinal Data from Multiple Cohorts to Determine Biological Subtypes and Prediction Scores for Parkinson’s Disease

    Study Rationale: We used to think of Parkinson's disease (PD) as a single disorder. However, individuals with PD can be very different in terms of their clinical characteristics and the biological...

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