TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models.

TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models.
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DOI:
10.1038/s41592-022-01681-2
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发表时间:
2022-12
期刊:
影响因子:
48
通讯作者:
Esteban, Oscar
Esteban, Oscar
中科院分区:
生物学1区
文献类型:
--
作者:
Ciric, Rastko;Thompson, William H. H.;Lorenz, Romy;Goncalves, Mathias;MacNicol, Eilidh E. E.;Markiewicz, Christopher J. J.;Halchenko, Yaroslav O. O.;Ghosh, Satrajit S. S.;Gorgolewski, Krzysztof J. J.;Poldrack, Russell A. A.;Esteban, Oscar

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大脑的参考解剖结构(“模板”)和相应的地图集是报告标准化神经影像学结果的基础。目前,没有模板和地图集登记册;因此,这些资源的重新分配要么捆绑在现有软件中,要么以临时方式进行,如从机构网站和通用数据储存库下载。我们引入TemplateFlow作为人类和非人类大脑模型的公开可用框架。该框架将开放数据库与访问、管理和审查软件相结合,使科学家能够在FAIR的可查找、可访问、可互操作和可重用原则下共享资源。TemplateFlow能够对不同物种的大脑进行多方面的洞察,并支持多元宇宙分析,以测试结果是否在标准参考、尺度和长期物种中普遍化。TemplateFlow是人类和其他大脑模板和地图集的存储库,它在FAIR原则下运行。
Reference anatomies of the brain (‘templates’) and corresponding atlases are the foundation for reporting standardized neuroimaging results. Currently, there is no registry of templates and atlases; therefore, the redistribution of these resources occurs either bundled within existing software or in ad hoc ways such as downloads from institutional sites and general-purpose data repositories. We introduce TemplateFlow as a publicly available framework for human and non-human brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to share their resources under FAIR—findable, accessible, interoperable, and reusable—principles. TemplateFlow enables multifaceted insights into brains across species, and supports multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species. TemplateFlow is a repository for human and other brain templates and atlases, which operates under the FAIR principles.
DOI: 10.7554/elife.71774
发表时间: 2021-10-18
期刊: eLife
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