Gorgolewski Krzysztof J, Varoquaux Gael, Rivera Gabriel, Schwartz Yannick, Sochat Vanessa V, Ghosh Satrajit S, Maumet Camille, Nichols Thomas E, Poline Jean-Baptiste, Yarkoni Tal, Margulies Daniel S, Poldrack Russell A
Department of Psychology, Stanford University, Stanford, CA, USA; Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
INRIA Parietal, Neurospin bat 145, CEA, Saclay, 91191 Gif sur Yvette, France.
Neuroimage. 2016 Jan 1;124(Pt B):1242-1244. doi: 10.1016/j.neuroimage.2015.04.016. Epub 2015 Apr 11.
NeuroVault.org is dedicated to storing outputs of analyses in the form of statistical maps, parcellations and atlases, a unique strategy that contrasts with most neuroimaging repositories that store raw acquisition data or stereotaxic coordinates. Such maps are indispensable for performing meta-analyses, validating novel methodology, and deciding on precise outlines for regions of interest (ROIs). NeuroVault is open to maps derived from both healthy and clinical populations, as well as from various imaging modalities (sMRI, fMRI, EEG, MEG, PET, etc.). The repository uses modern web technologies such as interactive web-based visualization, cognitive decoding, and comparison with other maps to provide researchers with efficient, intuitive tools to improve the understanding of their results. Each dataset and map is assigned a permanent Universal Resource Locator (URL), and all of the data is accessible through a REST Application Programming Interface (API). Additionally, the repository supports the NIDM-Results standard and has the ability to parse outputs from popular FSL and SPM software packages to automatically extract relevant metadata. This ease of use, modern web-integration, and pioneering functionality holds promise to improve the workflow for making inferences about and sharing whole-brain statistical maps.
NeuroVault.org致力于以统计图谱、脑区划分和图谱集的形式存储分析结果，这是一种独特的策略，与大多数存储原始采集数据或立体定向坐标的神经影像存储库形成对比。此类图谱对于进行荟萃分析、验证新方法以及确定感兴趣区域（ROI）的精确轮廓而言不可或缺。NeuroVault对源自健康人群和临床人群以及各种成像模态（结构磁共振成像、功能磁共振成像、脑电图、脑磁图、正电子发射断层扫描等）的图谱开放。该存储库使用现代网络技术，如基于网络的交互式可视化、认知解码以及与其他图谱进行比较，为研究人员提供高效、直观的工具，以增进对其研究结果的理解。每个数据集和图谱都被分配一个永久统一资源定位符（URL），所有数据均可通过REST应用程序编程接口（API）访问。此外，该存储库支持NIDM-Results标准，并能够解析来自流行的FSL和SPM软件包的输出，以自动提取相关元数据。这种易用性、现代网络集成以及开创性的功能有望改进对全脑统计图谱进行推断和共享的工作流程。
