Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease.

TitleOpen science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease.
Publication TypeJournal Article
Year of Publication2021
AuthorsTremblay-Mercier J, Madjar C, Das S, Binette APichet, Dyke SOM, Etienne P, Lafaille-Magnan M-E, Remz J, Bellec P, D Collins L, M Rajah N, Bohbot VD, Leoutsakos J-M, Iturria-Medina Y, Kat J, Hoge RD, Gauthier S, Tardif CL, Chakravarty MM, Poline J-B, Rosa-Neto P, Evans AC, Villeneuve S, Poirier J, Breitner JCS
Corporate AuthorsPREVENT-AD Research Group
JournalNeuroimage Clin
Date Published2021
KeywordsAlzheimer Disease, Amyloid beta-Peptides, Biomarkers, Canada, Humans, Middle Aged, Retrospective Studies, tau Proteins

To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatments for AD) cohort, composed of cognitively unimpaired older individuals with a parental or multiple-sibling history of AD. From 2011 to 2017, 386 participants were enrolled (mean age 63 years old ± 5) for sustained investigation among whom 349 have retrospectively agreed to share their data openly. Repositories are findable through the unified interface of the Canadian Open Neuroscience Platform and contain up to five years of longitudinal imaging data, cerebral fluid biochemistry, neurosensory capacities, cognitive, genetic, and medical information. Imaging data can be accessed openly at while most of the other information, sensitive by nature, is accessible by qualified researchers at In addition to being a living resource for continued data acquisition, PREVENT-AD offers opportunities to facilitate understanding of AD pathogenesis.

Alternate JournalNeuroimage Clin
PubMed ID34192666
PubMed Central IDPMC8254111