Department of Psychology, Stanford University, Stanford, CA, USA.
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Nat Methods. 2022 Dec;19(12):1568-1571. doi: 10.1038/s41592-022-01681-2. Epub 2022 Dec 1.
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.
脑的参考解剖结构(“模板”)和相应的图谱是报告标准化神经影像学结果的基础。目前,没有模板和图谱的注册中心;因此,这些资源的再分配要么捆绑在现有软件中,要么以特定方式进行,例如从机构站点和通用数据存储库下载。我们引入了 TemplateFlow,这是一个用于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,允许科学家根据 FAIR(可发现、可访问、可互操作和可重用)原则共享他们的资源。TemplateFlow 使人们能够从多个方面了解跨物种的大脑,并支持多宇宙分析,以测试结果是否在标准参考、规模以及长期内是否在物种间具有通用性。