Journal
NEUROIMAGE
Volume 228, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2020.117679
Keywords
Magnetic resonance imaging; Behaviour; Genetics; Physiology; Phylogenetics; BIDS
Funding
- Newcastle University Research Fellowship
- Center National pour la Recherche Scientifique (CNRS)
- National Natural Science Foundation of China [32071060]
- Science and Technology Commission of Shanghai Municipality [201409002800]
- Consejo Nacional de Ciencia y tecnologia [A1-S-8430]
- European Research Council under the European Union [716931 -GESTIMAGE -ERC-2016-STG]
- Consejo Nacional de Ciencia y tecnologia studentship [280464]
- Medical Research Council (UK) [A430]
- California National Primate Research Center [P51OD011107]
- JORISS project grants
- MRC [MC_UP_1504/1] Funding Source: UKRI
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Sharing and pooling large amounts of non-human primate neuroimaging data provides new opportunities to understand the primate brain. The potential of big data in non-human primate neuroimaging can be greatly enhanced by combining these data with other types of information, such as behavioral, genetic, physiological, and phylogenetic data.
Sharing and pooling large amounts of non-human primate neuroimaging data offer new exciting opportunities to understand the primate brain. The potential of big data in non-human primate neuroimaging could however be tremendously enhanced by combining such neuroimaging data with other types of information. Here we describe metadata that have been identified as particularly valuable by the non-human primate neuroimaging community, including behavioural, genetic, physiological and phylogenetic data.
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