CONP Portal | Dataset
PREVENT-AD open data
- Creators: StoP-AD Center - Douglas Mental Health University Institute
- Version: 2.0
- Date Added: 2019-04-24
- Date Updated: 2025-01-15
- Modalities: MRI, basic demographics
- License: https://openpreventad.loris.ca/images/Open_PREVENT-AD_Terms_of_Use.png
- Files: 28748
- Size: 223.0 GB
- Subjects: 308
- Formats: MINC, JSON
PREVENT-AD open data
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 |
Description:
Dataset README information
PREVENT-AD open Dataset
Overview
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 (https://openpreventad.loris.ca).
Data organization
For the BIDS dataset, please visit https://portal.conp.ca/dataset?id=projects/preventad-open-bids
Data are organized by candidate_id/visit_label
:
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.json
is a JSON file that describes the content of the datasetcandidate.json
contains demographic information regarding the candidate in questionvisit.json
contains visit level informationhandedness.json
when 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:
The following instructions require a basic understanding of UNIX/LINUX command lines. A subset of open datasets on the Portal are also available through a browser-based download button. The instructions below regard dataset download with the use of DataLad. To install DataLad on your system, please refer to the install section of the DataLad Handbook .
Note: For maximum compatibility with conp-dataset
, the CONP recommends versions 3.12+ of Python, 10.20241202+ of git-annex, and 1.1.4+ of datalad.
1) Initiate the CONP dataset
Run the following command in the directory where you want the CONP dataset (conp-dataset
) to be installed:
datalad install https://github.com/CONP-PCNO/conp-dataset.git
2) Install the preventad-open dataset
To install the preventad-open
dataset, run the following commands to move into the "projects" subdirectory under the "conp-dataset" directory (created in the previous step) and run datalad install
:
cd conp-dataset/projects
datalad install preventad-open
3) Download data from the preventad-open dataset
Now that the dataset has been installed, go into the preventad-open
dataset directory.
cd preventad-open
The files visible after installing the dataset but before downloading (in the next step) are symbolic links and need to be downloaded manually using the datalad get
command:
datalad get <filepath>
If you run datalad get *
command, all the files available in the dataset directory will be downloaded.