Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease
- PMID: 34192666
- PMCID: PMC8254111
- DOI: 10.1016/j.nicl.2021.102733
Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease
Abstract
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 https://openpreventad.loris.ca while most of the other information, sensitive by nature, is accessible by qualified researchers at https://registeredpreventad.loris.ca. In addition to being a living resource for continued data acquisition, PREVENT-AD offers opportunities to facilitate understanding of AD pathogenesis.
Keywords: Biomarkers; Cerebrospinal Fluid proteins; Neuroimaging; Observational cohort; Open Science; Pre-symptomatic Alzheimer Disease.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures



References
-
- Villemagne V.L. Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. The Lancet Neurology. 2013;12(4):357–367. - PubMed
-
- Breitner J. Rationale and Structure for a New Center for Studies on Prevention of Alzheimer's Disease (StoP-AD) The journal of prevention of Alzheimer's disease. 2016;3(4):236–242. - PubMed
-
- Breitner J.C. APOE-ε4 count predicts age when prevalence of AD increases, then declines: the Cache County Study. Neurology. 1999;53(2):321. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical