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ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R.

Damon D Pham1, John Muschelli2, Amanda F Mejia1

  • 1Department of Statistics, Indiana University, USA.

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Summary

A new R package, ciftiTools, simplifies working with CIFTI grayordinate files for advanced brain imaging analysis. This tool enhances visualization and statistical modeling of MRI data across subjects.

Keywords:
GrayordinateToolboxfMRI

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Statistical Computing

Background:

  • Surface- and grayordinate-based analysis of MR data offers advantages like improved visualization and alignment.
  • The CIFTI grayordinate format integrates cortical and subcortical data, facilitating comprehensive brain-wide analyses.
  • Advanced statistical methods, such as Bayesian approaches, can leverage shared information across subjects in grayordinate space.

Purpose of the Study:

  • To introduce the ciftiTools R package, a comprehensive tool for manipulating and analyzing CIFTI grayordinate data.
  • To provide a unified environment within R for reading, writing, visualizing, and processing CIFTI files.
  • To demonstrate the utility of ciftiTools for advancing statistical analysis of functional MRI data in grayordinate space.

Main Methods:

  • Development of the ciftiTools R package.
  • Implementation of functions for reading, writing, visualizing, and manipulating CIFTI files and related data.
  • Illustration of ciftiTools' capabilities using surface geometry and grayordinate data.

Main Results:

  • The ciftiTools package offers a user-friendly interface for working with CIFTI grayordinate data in R.
  • The package facilitates advanced statistical analyses, including Bayesian methods, on neuroimaging data.
  • ciftiTools is being used to enhance the statistical analysis of functional MRI data.

Conclusions:

  • ciftiTools provides essential tools for researchers utilizing grayordinate-based analysis in R.
  • The package democratizes access to advanced statistical techniques for neuroimaging data.
  • This tool is expected to accelerate discoveries in brain science through improved data analysis.