Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer’s disease

To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatmen...

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Detalles Bibliográficos
Autores principales: Tremblay-Mercier, Jennifer, Madjar, Cécile, Das, Samir, Pichet Binette, Alexa, Dyke, Stephanie O.M., Étienne, Pierre, Lafaille-Magnan, Marie-Elyse, Remz, Jordana, Bellec, Pierre, Louis Collins, D., Natasha Rajah, M., Bohbot, Veronique, Leoutsakos, Jeannie-Marie, Iturria-Medina, Yasser, Kat, Justin, Hoge, Richard D., Gauthier, Serge, Tardif, Christine L., Mallar Chakravarty, M., Poline, Jean-Baptiste, Rosa-Neto, Pedro, Evans, Alan C., Villeneuve, Sylvia, Poirier, Judes, Breitner, John C.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254111/
https://www.ncbi.nlm.nih.gov/pubmed/34192666
http://dx.doi.org/10.1016/j.nicl.2021.102733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254111/
https://www.ncbi.nlm.nih.gov/pubmed/34192666
http://dx.doi.org/10.1016/j.nicl.2021.102733

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