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- Title
Editorial: APPNING: Animal Population Imaging.
- Authors
Dojat, Michel; Bjaalie, Jan G.; Barbier, Emmanuel L.
- Abstract
Animal Data Sharing Some large data repositories (e.g., for brain studies, The MJ Fox Parkinson's database or the Human Connectome project) and specific architectures (e.g., COINS, LONI) are now available for human population imaging. Keywords: data sharing; open science; neuroimaging; brain; neuroscience EN data sharing open science neuroimaging brain neuroscience N.PAG N.PAG 3 05/20/21 20210513 NES 210513 This editorial review of the Research Topic Appning describes several solutions to support the sharing of animal imaging data and processing tools. Mandino et al. review the efforts done by the animal MRI community toward the standardization of data acquisition and analysis procedures in the context of whole brain functional MRI; a key aspect for animal population imaging via multi-center studies. To facilitate the sharing of raw MR brain imaging data, Ioanas et al. present a tool to transform files in a proprietary format (Bruker files) to Bids format that has been proposed for human neuroimaging studies (Gorgolewski et al., [8]).
- Subjects
ANIMAL populations; MAGNETIC resonance imaging; INFORMATION sharing; INFORMATION resources; DIFFUSION tensor imaging
- Publication
Frontiers in Neuroinformatics, 2021, Vol 15, pN.PAG
- ISSN
1662-5196
- Publication type
Editorial
- DOI
10.3389/fninf.2021.676603