| Literature DB >> 26364860 |
Samir Das1, Tristan Glatard2, Leigh C MacIntyre3, Cecile Madjar4, Christine Rogers3, Marc-Etienne Rousseau3, Pierre Rioux3, Dave MacFarlane3, Zia Mohades3, Rathi Gnanasekaran3, Carolina Makowski3, Penelope Kostopoulos3, Reza Adalat3, Najmeh Khalili-Mahani3, Guiomar Niso5, Jeremy T Moreau5, Alan C Evans3.
Abstract
Neuroimaging has been facing a data deluge characterized by the exponential growth of both raw and processed data. As a result, mining the massive quantities of digital data collected in these studies offers unprecedented opportunities and has become paramount for today's research. As the neuroimaging community enters the world of "Big Data", there has been a concerted push for enhanced sharing initiatives, whether within a multisite study, across studies, or federated and shared publicly. This article will focus on the database and processing ecosystem developed at the Montreal Neurological Institute (MNI) to support multicenter data acquisition both nationally and internationally, create database repositories, facilitate data-sharing initiatives, and leverage existing software toolkits for large-scale data processing.Mesh:
Year: 2015 PMID: 26364860 DOI: 10.1016/j.neuroimage.2015.08.076
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556