Expanding <scp>PPMI</scp> through Remote Data Acquisition and Analysis: Early Success and Future Growth with <scp>myPPMI</scp>

The creation and ongoing development of the myPPMI platform (see Stanley et al in this issue), has enabled the Parkinson's Progression Markers Initiative (PPMI) to expand our research efforts to acquire additional data, engage a large number of participants, and reduce participant burden to enable long-term follow-up. We now review specific virtual and remote studies and sub-studies including Found, PPMI Online, and PPMI Cognitive that PPMI has developed to enhance participant engagement and enable remote data collection. FOUND in PPMI was initiated before myPPMI and continues to serve as a model for remote participant engagement. FOUND maintains longitudinal contact, reducing study attrition, and preserving data continuity. PPMI Online, now part of myPPMI, enables low-burden, participant-reported data collection, reduces geographic barriers, and enables sub-studies of less common subgroups. Cognitive testing is another study within myPPMI to assess longitudinal cognition. myPPMI, a global web-based portal, introduces precision recruitment, real-time eligibility matching, and inclusive design. Together, these innovations enable remote and hybrid recruitment and study conduct, reduce logistical and economic barriers, and advance scalable, participant-centered research to transform the landscape of Parkinson's disease studies across populations. ANN NEUROL 2026.

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Publication Details

Journal
Annals of Neurology
Published
2026-05-10
DOI
https://doi.org/10.1002/ana.78245
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
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article

Expanding PPMI through Remote Data Acquisition and Analysis: Early Success and Future Growth with myPPMI

Cailey Fitzgerald, Michael C. Brumm, Kelvin L. Chou, E TOLOSA et al.
Annals of Neurology
Parkinson's Disease Mechanisms and Treatments
article

Expanding PPMI through Remote Data Acquisition and Analysis: Early Success and Future Growth with myPPMI

Cailey Fitzgerald, Michael C. Brumm, Kelvin L. Chou, E TOLOSA, Emily Flagg, Bridget A. McMahon, Ryan Kurth, Sebastian Schade, Kimberly Fabrizio, J Ricci, Christina Destro, Auldyn Matthews‐McGee, Craig E. Stanley, Kathryn Brodkin, Roseanne D. Dobkin, Lynell P. Lemon, Nichole H. Rigby, Zeina Singh, John‐Michael Talarico, Kenneth Marek, Nicola Pavese, Caroline M. Tanner, Xuejie Chen, Parkinson's Progression Markers Initiative, Ethan G. Brown, Christopher S. Coffey, Paulina Gonzalez‐Latapi, Monica Korell, Werner Poewe, Maggie McGuire Kuhl, Daniel Weintraub, John A. Battles, Connie Marras, Laura Kruchkow, Thomas F. Tropea, Alastair J. Noyce, Lynn Racelo, Lana M. Chahine, Cheryl Meng, Jacqueline K. Carley
article en

Abstract

The creation and ongoing development of the myPPMI platform (see Stanley et al in this issue), has enabled the Parkinson's Progression Markers Initiative (PPMI) to expand our research efforts to acquire additional data, engage a large number of participants, and reduce participant burden to enable long-term follow-up. We now review specific virtual and remote studies and sub-studies including Found, PPMI Online, and PPMI Cognitive that PPMI has developed to enhance participant engagement and enable remote data collection. FOUND in PPMI was initiated before myPPMI and continues to serve as a model for remote participant engagement. FOUND maintains longitudinal contact, reducing study attrition, and preserving data continuity. PPMI Online, now part of myPPMI, enables low-burden, participant-reported data collection, reduces geographic barriers, and enables sub-studies of less common subgroups. Cognitive testing is another study within myPPMI to assess longitudinal cognition. myPPMI, a global web-based portal, introduces precision recruitment, real-time eligibility matching, and inclusive design. Together, these innovations enable remote and hybrid recruitment and study conduct, reduce logistical and economic barriers, and advance scalable, participant-centered research to transform the landscape of Parkinson's disease studies across populations. ANN NEUROL 2026.

Annals of Neurology
Northwestern University (US), University of Iowa (US), University Health Network (CA), Innsbruck Medical University (AT), Queen Mary University of London (GB), University of Pittsburgh (US), University of California, San Francisco (US), Universität Innsbruck (AT), Johnson University (US), Michael J. Fox Foundation (US), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Institute for Neurodegenerative Disorders (US), Michigan Medicine (US), Universitätsmedizin Göttingen (DE), Paracelsus Elena Klinik Kassel (DE), NIHR Newcastle Biomedical Research Centre (GB), Newcastle Hospitals - Campus for Ageing and Vitality (GB), Universitat de Barcelona (ES), University of Pennsylvania (US), Newcastle University (GB)
Partnerships for the goals
Openalex Percentile: Top 4%
Parkinson's Disease Mechanisms and Treatments
DOISourceOpenAlex
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