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

PREVENT-AD Research Group

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article number102733
JournalNeuroImage: Clinical
StatePublished - Jan 2021
Externally publishedYes


  • Biomarkers
  • Cerebrospinal Fluid proteins
  • Neuroimaging
  • Observational cohort
  • Open Science
  • Pre-symptomatic Alzheimer Disease

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience


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