CONP Portal | PREVENT-AD open data
Authors: StoP-AD Center - Douglas Mental Health University Institute
Contact: Jennifer Tremblay-Mercier, Research Coordinator, email@example.com, 514-761-6131 #3329
Description: Longitudinal study of pre-symptomatic Alzheimer's Disease
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. http://dx.doi.org/10.14283/jpad.2016.121
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.
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 https://github.com/CONP-PCNO/conp-dataset.git
2) Install the preventad-open dataset
To install the dataset, go into the created conp-dataset directory and run
datalad install on the
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
Note that files visible in the dataset are symlinks and will need to be downloaded manually using the
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
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. Two clinical trials intended to test pharmaco-preventive agents have 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 (https://openpreventad.loris.ca).
For the BIDS dataset, please visit https://portal.conp.ca/dataset?id=projects/preventad-open-bids
Data are organized by
preventad-open |__DATS.json |__candidate_id |__candidate.json |__visit_label |__visit.json |__handedness.json |__images |__image_1.mnc |__image_2.mnc |__image_3.mnc
DATS.jsonis a JSON file that describes the content of the dataset
candidate.jsoncontains demographic information regarding the candidate in question
visit.jsoncontains visit level information
handedness.jsonwhen present, contains results of the Handedness Edinburgh Inventory
- images are provided in MINC format
For more information:
- LORIS open database instance with the PREVENT-AD dataset: https://openpreventad.loris.ca
- Open PREVENT-AD BIDS dataset: https://portal.conp.ca/dataset?id=projects/preventad-open-bids
- PREVENT-AD study web site: https://prevent-alzheimer.net/
- PREVENT-AD Twitter account: https://twitter.com/prevent_ad
- Dataset DOI: https://doi.org/10.5281/zenodo.3689943