CONP Portal | Dataset

PREVENT-AD open data
Creators: StoP-AD Center - Douglas Mental Health University Institute
Contact: Jennifer Tremblay-Mercier, Research Coordinator,, 514-761-6131 #3329
Version: 2.0
Modalities: MRI basic demographics
Formats: MINC JSON
Size: 223.0 GB
No of Files: 28748
No of Subjects: 308
Derived Datasets: preventad-open-bids
Primary Publication: Rationale and Structure for a new Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD). John C.S. Breitner et al. The Journal of Prevention of Alzheimer's Disease - JPAD Volume 3, Number 4, 2016.
Dimensions: age at MRI, gender, test Language, handedness interpretation, handedness score, structural MRI, functional MRI
Is About: Alzheimer's disease, Homo sapiens, older adult
Acknowledges: Fonds de Recherche du Québec - Santé, McGill University, Pfizer Canada, Douglas Hospital Research Centre and Foundation, Fondation Lévesque, Canada Fund for Innovation
Spatial Coverage: Québec (province)
Other Dates: Release Date: 2019-04-30 -- Last Update Date: 2020-08-06 -- Start Date: 2011-11-01 -- End Date: 2017-11-27
Longitudinal study of pre-symptomatic Alzheimer's Disease

Direct Download

This dataset is not available for direct download from the portal either because of its large size or because it requires a third-party account to access the data.
To download this dataset, please refer to the DataLad instructions in the next section.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install

2) Install the preventad-open dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset preventad-open:

cd conp-dataset
datalad install projects/preventad-open

3) Download the preventad-open dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/preventad-open.

cd projects/preventad-open

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

For more information on how DataLad works, please visit the DataLad Handbook documentation .

Dataset README information

PREVENT-AD open Dataset


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 (

Data organization

For the BIDS dataset, please visit

Data are organized by candidate_id/visit_label:

  • DATS.json is a JSON file that describes the content of the dataset
  • candidate.json contains demographic information regarding the candidate in question
  • visit.json contains visit level information
  • handedness.json when present, contains results of the Handedness Edinburgh Inventory
  • images are provided in MINC format

For more information: