University of California, Davis and the California National Primate Research Center, Davis, CA 95616, USA.
University of California, Davis and the California National Primate Research Center, Davis, CA 95616, USA.
Neuroimage. 2021 Jan 15;225:117518. doi: 10.1016/j.neuroimage.2020.117518. Epub 2020 Oct 31.
Animal neuroimaging studies can provide unique insights into brain structure and function, and can be leveraged to bridge the gap between animal and human neuroscience. In part, this power comes from the ability to combine mechanistic interventions with brain-wide neuroimaging. Due to their phylogenetic proximity to humans, nonhuman primate neuroimaging holds particular promise. Because nonhuman primate neuroimaging studies are often underpowered, there is a great need to share data amongst translational researchers. Data sharing efforts have been limited, however, by the lack of standardized tools and repositories through which nonhuman neuroimaging data can easily be archived and accessed. Here, we provide an extension of the Neurovault framework to enable sharing of statistical maps and related voxelwise neuroimaging data from other species and template-spaces. Neurovault, which was previously limited to human neuroimaging data, now allows researchers to easily upload and share nonhuman primate neuroimaging results. This promises to facilitate open, integrative, cross-species science while affording researchers the increased statistical power provided by data aggregation. In addition, the Neurovault code-base now enables the addition of other species and template-spaces. Together, these advances promise to bring neuroimaging data sharing to research in other species, for supplemental data, location-based atlases, and data that would otherwise be relegated to a "file-drawer". As increasing numbers of researchers share their nonhuman neuroimaging data on Neurovault, this resource will enable novel, large-scale, cross-species comparisons that were previously impossible.
动物神经影像学研究可以为大脑结构和功能提供独特的见解，并可以利用这些研究来弥合动物和人类神经科学之间的差距。部分原因是能够将机械干预与全脑神经影像学相结合。由于与人类在系统发生上的接近，非人类灵长类动物神经影像学具有特殊的前景。由于非人类灵长类动物神经影像学研究通常缺乏动力，因此非常需要在转化研究人员之间共享数据。然而，数据共享工作受到限制，因为缺乏标准化的工具和存储库，无法方便地对非人类神经影像学数据进行归档和访问。在这里，我们提供了 Neurovault 框架的扩展，以支持来自其他物种和模板空间的统计映射和相关体素神经影像学数据的共享。Neurovault 以前仅限于人类神经影像学数据，现在允许研究人员轻松地上传和共享非人类灵长类动物神经影像学结果。这有望促进开放、综合、跨物种的科学，同时为研究人员提供数据聚合带来的更高统计动力。此外，Neurovault 的代码库现在还可以添加其他物种和模板空间。这些进展有望将神经影像学数据共享引入其他物种的研究中，提供补充数据、基于位置的图谱以及原本可能被归入“文件抽屉”的数据。随着越来越多的研究人员在 Neurovault 上共享他们的非人类神经影像学数据，这个资源将使以前不可能的大规模、跨物种的比较成为可能。
