Package ciftiTools details

Tools for Reading, Writing, Viewing and Manipulating CIFTI Files

CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.

Maintainer: Amanda Mejia < mandy.mejia at >

From within R, enter citation('ciftiTools')


If you have any problems with this package you can open a new issue or check the already existing ones here.

  Versions(Pending - no previous version)
To install this package, start R and enter:


# Default Install

# from GitHub
neuro_install('ciftiTools', release = "stable", release_repo = "github")
neuro_install('ciftiTools', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on October 1 2021 2:07PM
Last updated on October 1 2021 2:07PM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (3.5.0)
Importsfields, gifti(>0.7.5), grDevices, oro.nifti, RNifti, RColorBrewer, rgl, viridisLite, xml2
Suggestscovr, ggplot2, ggpubr, htmlwidgets, knitr, rmarkdown, papayar, testthat (2.1.0)
Reverse Suggestsclever, fMRIscrub