conpdatasets/preventad-open: PREVENT-AD open release version 1.1
Contributors
Contact person:
- 1. Douglas Mental Health University Institute
Description
This is version 1.1 of the open PREVENT-AD dataset. https://openpreventad.loris.ca
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. 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.
DATASET CONTENT:
This dataset includes longitudinal MRI acquisitions over up to 4 years on 232 candidates and basic demographic informations (handedness, gender, age at MRI, language).
Images are available as MINC files for each candidate/visit. Demographic informations are stored either in a candidate.json
or a visit.json
file under the candidate or visit directory respectively.
FOR MORE INFORMATION:
- LORIS open database instance with the PREVENT-AD dataset: https://openpreventad.loris.ca
- PREVENT-AD study web site: https://prevent-alzheimer.net/
- PREVENT-AD Twitter account: https://twitter.com/prevent_ad
Notes
Files
conpdatasets/preventad-open-1.1.zip
Files
(11.1 MB)
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md5:db1ad424f3629b573512f726edba5ec1
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Additional details
Related works
- Is supplement to
- https://github.com/conpdatasets/preventad-open/tree/1.1 (URL)
References
- Breitner, John CS et al. (2016). Rationale and Structure for a New Center for Studies on Prevention of Alzheimer's Disease (StoP-AD). DOI: 10.14283/jpad.2016.121