C-OPN Data Challenge Winners
Brain Canada and Parkinson Canada are pleased to announce the winners of the Canadian Open Parkinson Network (C-OPN) Data Challenge. This research grant opportunity, launched and funded in partnership between Parkinson Canada and Brain Canada, was designed to accelerate Parkinson’s research through innovative use of the C-OPN database.
Researchers and clinicians from across Canada were invited to submit proposals that analyzed C-OPN’s de-identified participant data (featuring demographic information, epidemiological and clinical information, and neuroimaging data and genotyping data) to generate new insights into Parkinson’s diagnosis, progression, and care. We would like to congratulate the six applicants who were successful and acknowledge the hard work and dedication to Parkinson’s research from all applicants.
Dr. Venkat Bhat, University of Toronto
Mental health symptom profiles and clinical heterogeneity in Parkinson’s disease: cognitive, neuroimaging and demographic correlates
Prof. Setor Kunutsor,
University of Manitoba
Symptom burden and trajectories in Parkinson’s Disease: The influence of sex, age, and comorbidity across Hoehn and Yahr stages
Dr. Myles O’Brien, University of Sherbrooke
Development of a frailty index for C-OPN and its association with disease severity among people with Parkinson’s disease
Dr. Michael Schlossmacher,
Ottawa Hospital Research Institute
Improving the accuracy of the PREDIGT score in classifying typical Parkinson’s versus clinically relevant controls
Dr. Madelaine Sharp, McGill University
Retrospective data harmonization of Canadian open Parkinson’s disease datasets
Prof. Pascal Tyrell, University of Toronto
Integrating genetic and neuroimaging data for personalized Parkinson’s disease stratification