An Open Resource for Non-human Primate Imaging

Publication date

2018-10-10

Authors

Milham, Michael P.
Ai, Lei
Koo, Bonhwang
Xu, Ting
Amiez, Céline
Balezeau, Fabien
Baxter, Mark G.
Blezer, E.ISNI 0000000387657461
Brochier, Thomas
Chen, Aihua

Editors

Advisors

Supervisors

Document Type

Article

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cc_by

Abstract

Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets. The PRIMatE Data Exchange (PRIME-DE) consortium is an open science resource for the neuroimaging community aiming to facilitate efforts to map the non-human primate connectome. It aggregates and shares anatomical, functional, and diffusion MRI datasets from laboratories throughout the world.

Keywords

Animals, Brain/anatomy & histology, Connectome/methods, Datasets as Topic, Information Dissemination/methods, Magnetic Resonance Imaging, Neuroimaging, Primates, General Neuroscience, Research Support, Non-U.S. Gov't, Journal Article, Research Support, N.I.H., Extramural

Citation

Milham, M P, Ai, L, Koo, B, Xu, T, Amiez, C, Balezeau, F, Baxter, M G, Blezer, E L A, Brochier, T, Chen, A, Croxson, P L, Damatac, C G, Dehaene, S, Everling, S, Fair, D A, Fleysher, L, Freiwald, W, Froudist-Walsh, S, Griffiths, T D, Guedj, C, Hadj-Bouziane, F, Ben Hamed, S, Harel, N, Hiba, B, Jarraya, B, Jung, B, Kastner, S, Klink, P C, Kwok, S C, Laland, K N, Leopold, D A, Lindenfors, P, Mars, R B, Menon, R S, Messinger, A, Meunier, M, Mok, K, Morrison, J H, Nacef, J, Nagy, J, Rios, M O, Petkov, C I, Pinsk, M, Poirier, C, Procyk, E, Rajimehr, R, Reader, S M, Roelfsema, P R, Rudko, D A, Rushworth, M F S, Russ, B E, Sallet, J, Schmid, M C, Schwiedrzik, C M, Seidlitz, J, Sein, J, Shmuel, A, Sullivan, E L, Ungerleider, L, Thiele, A, Todorov, O S, Tsao, D, Wang, Z, Wilson, C R E, Yacoub, E, Ye, F Q, Zarco, W, Zhou, Y D, Margulies, D S & Schroeder, C E 2018, 'An Open Resource for Non-human Primate Imaging', Neuron, vol. 100, no. 1, pp. 61-74.e2. https://doi.org/10.1016/j.neuron.2018.08.039