A collaborative resource platform for non-human primate neuroimaging

Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In...

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Published in:NeuroImage (Orlando, Fla.) Vol. 226; p. 117519
Main Authors: Messinger, Adam, Sirmpilatze, Nikoloz, Heuer, Katja, Loh, Kep Kee, Mars, Rogier B., Sein, Julien, Xu, Ting, Glen, Daniel, Jung, Benjamin, Seidlitz, Jakob, Taylor, Paul, Toro, Roberto, Garza-Villarreal, Eduardo A., Sponheim, Caleb, Wang, Xindi, Benn, R. Austin, Cagna, Bastien, Dadarwal, Rakshit, Evrard, Henry C., Garcia-Saldivar, Pamela, Giavasis, Steven, Hartig, Renée, Lepage, Claude, Liu, Cirong, Majka, Piotr, Merchant, Hugo, Milham, Michael P., Rosa, Marcello G.P., Tasserie, Jordy, Uhrig, Lynn, Margulies, Daniel S., Klink, P. Christiaan
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-02-2021
Elsevier Limited
Elsevier
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Summary:Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of neuroscience. Resources that were primarily developed for human neuroimaging often need to be significantly adapted for use with NHPs or other animals, which has led to an abundance of custom, in-house solutions. In recent years, the global NHP neuroimaging community has made significant efforts to transform the field towards more open and collaborative practices. Here we present the PRIMatE Resource Exchange (PRIME-RE), a new collaborative online platform for NHP neuroimaging. PRIME-RE is a dynamic community-driven hub for the exchange of practical knowledge, specialized analytical tools, and open data repositories, specifically related to NHP neuroimaging. PRIME-RE caters to both researchers and developers who are either new to the field, looking to stay abreast of the latest developments, or seeking to collaboratively advance the field .
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ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2020.117519