@article{130556,
  author = {Milham and Ai and Koo and Xu and Balezeau and MG Baxter and PL Croxson and CG Damatac and Harel and Friewald and TD Griffiths and Everling and Jung and Kastner and DA Leopold and RB Mars and RS Menon and Messinger and JH Morrison and Nacef and Nagy and MO Rios and CI Petkov and MA Pinsk and Poirier and Rajimehr and MFS Rushworth and BE Russ and Schmid and CM Schwiedrzik and Sallet and Siedlitz and Ungerleider and Thiele and Tsao and Yacoub and Ye and Zarco and DS Margulies and CE Schroeder},
  title = {An Open Resource for Non-human Primate Imaging},
  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~<a href="https://www.sciencedirect.com/topics/neuroscience/magnetic-resonance-imaging" title="Learn more about Magnetic resonance imaging">magnetic resonance imaging</a>~(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~<a href="https://www.sciencedirect.com/topics/neuroscience/magnetic-resonance-imaging" title="Learn more about Magnetic resonance imaging">MRI</a>~datasets, including providing automated quality assessment of the contributed datasets. },
  year = {2018},
  journal = {Neuron},
  volume = {100},
  pages = {61-74},
  url = {https://www.sciencedirect.com/science/article/pii/S0896627318307682},
  language = {eng},
}