PREVENT-AD cohort data and datasets module

Data used in examples for the different modules available were collected as part of the PREVENT-AD cohort. After many years of work, the data was shared for open access and use by the research community, with data sharing enabled through the Canadian Open Neuroscience Platform (CONP). Any qualified researcher can have access to the Open PREVENT-AD dataset available here, in BIDS format, by asking for access here.

More information on the cohort:

The PREVENT-AD (Pre-symptomatic Evaluation of Experimental or Novel Treatments for Alzheimer Disease) cohort is composed of cognitively healthy participants over 55 years old, at risk of developing Alzheimer Disease (AD) as their parents and/or siblings were/are affected by the disease. These ‘at-risk’ participants have been followed for a naturalistic study of the presymptomatic phase of AD since 2011 using multimodal measurements of various disease indicators. One clinical trial intended to test a pharmaco-preventive agent has also been conducted. The PREVENT-AD research group is now releasing data openly with the intention to contribute to the community’s growing understanding of AD pathogenesis. More detailed information about the study design can be found in the LORIS instance of Open PREVENT-AD. From the BIDS dataset on the CONP platform

The PREVENT-AD cohort contains information on over 318 participants, with rich phenotyping which includes multimodal imaging (T1, T2, fMRI, ASL, etc.), behavioral data, etc. A subset of 15 participants were downloaded, preprocessed and added to sihnpy. Details on the data integrated in sihnpy is available in the next section.

Due to the sheer size of the files, I don’t recommend downloading the entire dataset, and even less downloading the entire dataset on a personal computer. In my case, I have processed the data using the Beluga cluster, a high-performance computing cluster managed by the Digital Research Alliance of Canada. More info on that in the following pages.

• Using PREVENT-AD data from sihnpy
  • Using the datasets module in sihnpy
  • Additional information on brain imaging preprocessing
    • Functional connectivity data
      • fMRIPrep
      • Nilearn
      • Scripts
    • Simulated data
    • Structural magnetic resonance imaging data
      • FreeSurfer
• Downloading PREVENT-AD data
  • Downloading the dataset
    • 1. - Navigating the Canadian Open Neuroscience Platform
    • 2. - Setting up Datalad
    • 3. - Downloading the data