Surface- and grayordinate-based analysis of MR data has well-recognized advantages, including improved whole-cortex visualization, the ability to perform surface smoothing to avoid issues associated with volumetric smoothing, improved inter-subject alignment, and reduced dimensionality. The CIFTI grayordinate file format introduced by the Human Connectome Project further advances grayordinate-based analysis by combining gray matter data from the left and right cortical hemispheres with gray matter data from the subcortex and cerebellum into a single file. Analyses performed in grayordinate space are well-suited to leverage information shared across the brain and across subjects through both traditional analysis techniques and more advanced statistical methods, including Bayesian methods. The R statistical environment facilitates use of advanced statistical techniques, yet little support for grayordinates analysis has been previously available in R. Indeed, few comprehensive programmatic tools for working with CIFTI files have been available in any language. Here, we present the ciftiTools R package, which provides a unified environment for reading, writing, visualizing, and manipulating CIFTI files and related data formats. We illustrate ciftiTools' convenient and user-friendly suite of tools for working with grayordinates and surface geometry data in R, and we describe how ciftiTools is being utilized to advance the statistical analysis of grayordinate-based functional MRI data.
翻译:以地表和灰色坐标为基础对MR数据进行分析,具有公认的优势,包括改进整层皮层可视化,提高表面平滑能力,以避免与体积平滑有关的问题,改进子体间对齐,降低维度。人类连接网项目采用的CIFTI灰色坐标文件格式进一步推进灰色坐标分析,将左半球和右上角的灰质数据与下皮层和骨骼的灰质物质数据合并成一个文件。灰色坐标空间进行的分析非常适合通过传统分析技术和更先进的统计方法,包括巴耶斯方法,利用在大脑之间和各个学科之间共享的信息。R统计环境有利于使用先进的统计技术,但以前在R. 事实上,几乎没有任何语言都提供与CIFTI文件合作的灰色物质综合方案工具。在这里,我们介绍了CiftiTools的软件包,它为阅读、写作、可视化、调控 CIFTI文件及相关数据格式提供了一个统一的环境。我们用Arearif Amerally 和Sloyal-ho数工具如何被使用。