| Literature DB >> 27066973 |
Grégory Operto1,2,3, Marie Chupin4,5,6, Bénédicte Batrancourt4,5,7, Marie-Odile Habert4,8,9, Olivier Colliot4,5,6, Habib Benali4,9, Cyril Poupon4,10, Catherine Champseix4,10,5, Christine Delmaire4,11, Sullivan Marie4,8,9, Denis Rivière4,10, Mélanie Pélégrini-Issac4,9, Vincent Perlbarg4,9,12, Régine Trebossen4,10,7,13, Michel Bottlaender4,10,13, Vincent Frouin10, Antoine Grigis10, Dimitri Papadopoulos Orfanos10, Hugo Dary4,5,6, Ludovic Fillon4,5,6, Chabha Azouani4,5,6, Ali Bouyahia4,5,6, Clara Fischer4,10,5, Lydie Edward4,5, Mathilde Bouin4,10,5, Urielle Thoprakarn4,10,5, Jinpeng Li4,10,7, Leila Makkaoui4,10, Sylvain Poret4,5,14, Carole Dufouil15, Vincent Bouteloup16, Gaël Chételat4,17, Bruno Dubois4,5,14, Stéphane Lehéricy4,5,18, Jean-François Mangin4,10, Yann Cointepas4,10,7.
Abstract
This paper provides an overview of CATI, a platform dedicated to multicenter neuroimaging. Initiated by the French Alzheimer's plan (2008-2012), CATI is a research project called on to provide service to other projects like an industrial partner. Its core mission is to support the neuroimaging of large populations, providing concrete solutions to the increasing complexity involved in such projects by bringing together a service infrastructure, the know-how of its expert academic teams and a large-scale, harmonized network of imaging facilities. CATI aims to make data sharing across studies easier and promotes sharing as much as possible. In the last 4 years, CATI has assisted the clinical community by taking charge of 35 projects so far and has emerged as a recognized actor at the national and international levels.Entities:
Keywords: Data mining; Data sharing; Large-scale studies; Multicenter protocols; Neuroimaging biomarkers
Mesh：
Year: 2016 PMID： 27066973 DOI： 10.1007/s12021-016-9295-8
Source DB: PubMed Journal: Neuroinformatics ISSN： 1539-2791