An Open Resource for Non-human Primate Imaging.
An Open Resource for Non-human Primate Imaging.
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非人类灵长类动物成像的开放资源
DOI：
10.1016/j.neuron.2018.08.039
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发表时间：
2018-10-10
期刊：
影响因子：
16.2
通讯作者：
Schroeder CE
中科院分区：
文献类型：
--
作者：
Milham MP;Ai L;Koo B;Xu T;Amiez C;Balezeau F;Baxter MG;Blezer ELA;Brochier T;Chen A;Croxson PL;Damatac CG;Dehaene S;Everling S;Fair DA;Fleysher L;Freiwald W;Froudist-Walsh S;Griffiths TD;Guedj C;Hadj-Bouziane F;Ben Hamed S;Harel N;Hiba B;Jarraya B;Jung B;Kastner S;Klink PC;Kwok SC;Laland KN;Leopold DA;Lindenfors P;Mars RB;Menon RS;Messinger A;Meunier M;Mok K;Morrison JH;Nacef J;Nagy J;Rios MO;Petkov CI;Pinsk M;Poirier C;Procyk E;Rajimehr R;Reader SM;Roelfsema PR;Rudko DA;Rushworth MFS;Russ BE;Sallet J;Schmid MC;Schwiedrzik CM;Seidlitz J;Sein J;Shmuel A;Sullivan EL;Ungerleider L;Thiele A;Todorov OS;Tsao D;Wang Z;Wilson CRE;Yacoub E;Ye FQ;Zarco W;Zhou YD;Margulies DS;Schroeder CE
非人灵长类动物神经成像是一个快速发展的研究领域，有望改变和扩大翻译和跨物种比较神经科学。不幸的是，过去二十年来技术和方法的进步超过了数据的积累，鉴于拥有必要设施和能力的中心相对较少，这尤其具有挑战性。灵长类动物数据交换（PRIME-DE）通过聚合独立获取的非人类灵长类动物磁共振成像（MRI）数据集，并通过国际神经成像数据共享倡议（INDI）公开共享，解决了这一挑战。在这里，我们介绍了PRIME-DE联盟的基本原理、设计和程序，以及最初的发布，包括来自22个地点的25个独立数据收集（总共= 217种非人灵长类动物）。我们还概述了在分析非人类灵长类动物MRI数据集时应该考虑的独特陷阱和挑战，包括提供贡献数据集的自动质量评估。开放共享的大型非人类灵长类动物神经成像数据资源来自世界各地研究人员提供的多种成像模式数据集的质量评估讨论分析非人类灵长类动物MRI数据的陷阱和挑战灵长类动物数据交换（PRIME-DE）联盟是神经成像社区的开放科学资源，旨在促进绘制非人类灵长类动物连接组的努力。它汇集并共享来自世界各地实验室的解剖、功能和弥散MRI数据集。
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. Openly shared, large non-human primate neuroimaging data resource Multiple imaging modalities contributed from investigators around the world Quality assessments of the dataset Discussed pitfalls and challenges in analyzing the non-human primate MRI data 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.
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