跳到主要导航 跳到搜索 跳到主要内容

An Open Resource for Non-human Primate Imaging

  • Michael P. Milham*
  • , Lei Ai
  • , Bonhwang Koo
  • , Ting Xu
  • , Céline Amiez
  • , Fabien Balezeau
  • , Mark G. Baxter
  • , Erwin L.A. Blezer
  • , Thomas Brochier
  • , Aihua Chen
  • , Paula L. Croxson
  • , Christienne G. Damatac
  • , Stanislas Dehaene
  • , Stefan Everling
  • , Damian A. Fair
  • , Lazar Fleysher
  • , Winrich Freiwald
  • , Sean Froudist-Walsh
  • , Timothy D. Griffiths
  • , Carole Guedj
  • Fadila Hadj-Bouziane, Suliann Ben Hamed, Noam Harel, Bassem Hiba, Bechir Jarraya, Benjamin Jung, Sabine Kastner, P. Christiaan Klink, Sze Chai Kwok, Kevin N. Laland, David A. Leopold, Patrik Lindenfors, Rogier B. Mars, Ravi S. Menon, Adam Messinger, Martine Meunier, Kelvin Mok, John H. Morrison, Jennifer Nacef, Jamie Nagy, Michael Ortiz Rios, Christopher I. Petkov, Mark Pinsk, Colline Poirier, Emmanuel Procyk, Reza Rajimehr, Simon M. Reader, Pieter R. Roelfsema, David A. Rudko, Matthew F.S. Rushworth, Brian E. Russ, Jerome Sallet, Michael Christoph Schmid, Caspar M. Schwiedrzik, Jakob Seidlitz, Julien Sein, Amir Shmuel, Elinor L. Sullivan, Leslie Ungerleider, Alexander Thiele, Orlin S. Todorov, Doris Tsao, Zheng Wang, Charles R.E. Wilson, Essa Yacoub, Frank Q. Ye, Wilbert Zarco, Yong di Zhou, Daniel S. Margulies, Charles E. Schroeder
*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)61-74.e2
期刊Neuron
100
1
DOI
出版状态已出版 - 10 10月 2018

指纹

探究 'An Open Resource for Non-human Primate Imaging' 的科研主题。它们共同构成独一无二的指纹。

引用此