The extensible neuroimaging archive toolkit (XNAT) is a common platform for storing and distributing neuroimaging data and is used by many key repositories of public neuroimaging data. Some examples include the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC, https://nitrc.org/), the ConnectomeDB for the Human Connectome Project (https://db.humanconnectome.org/), and XNAT Central (https://central.xnat.org/). We introduce Rxnat (https://github.com/adigherman/Rxnat), an open-source R package designed to interact with any XNAT-based repository. The program has similar capabilities with PyXNAT and XNATpy, which were developed for Python users. Rxnat was developed to address the increased popularity of R among neuroimaging researchers. The Rxnat package can query multiple XNAT repositories and download all or a specific subset of images for further processing. This provides a lingua franca for the large community of R analysts to interface with multiple XNAT-based publicly available neuroimaging repositories. The potential of Rxnat is illustrated using an example of neuroimaging data normalization from two neuroimaging repositories, NITRC and HCP.

中文翻译：

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Rxnat：用于基于 XNAT 的存储库的开源 R 包

可扩展神经影像存档工具包 (XNAT) 是用于存储和分发神经影像数据的通用平台，并被许多公共神经影像数据的关键存储库使用。一些示例包括神经影像信息学工具和资源交换所（NITRC，https://nitrc.org/）、用于人类连接组项目的 ConnectomeDB（https://db.humanconnectome.org/）和 XNAT Central（https://nitrc.org/） /central.xnat.org/）。我们介绍了 Rxnat (https://github.com/adigherman/Rxnat)，这是一个开源 R 包，旨在与任何基于 XNAT 的存储库进行交互。该程序与 PyXNAT 和 XNATpy 具有类似的功能，它们是为 Python 用户开发的。Rxnat 的开发是为了解决 R 在神经影像研究人员中日益流行的问题。Rxnat 包可以查询多个 XNAT 存储库并下载所有或特定的图像子集以进行进一步处理。这为大型 R 分析师社区提供了通用语言，以便与多个基于 XNAT 的公共可用神经影像存储库进行交互。使用来自两个神经影像资料库 NITRC 和 HCP 的神经影像数据标准化示例说明了 Rxnat 的潜力。