Neuron · 2018

An Open Resource for Non-human Primate Imaging.

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен

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

Аннотация

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.

Предметные рубрики MeSH

Animals Brain Connectome Datasets as Topic Information Dissemination Magnetic Resonance Imaging Neuroimaging Primates

An Open Resource for Non-human Primate Imaging.

Ошибки и ограничения

Аннотация

Предметные рубрики MeSH