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

There is significant interest in adopting surface- and grayordinate-based analysis of MR data for a number of reasons, including improved whole-cortex visualization, the ability to perform surface smoothing to avoid issues associated with volumetric smoothing, improved inter-subject alignment, and r...

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Autores principales: Pham, Damon D., Muschelli, John, Mejia, Amanda F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119143/
https://www.ncbi.nlm.nih.gov/pubmed/35051581
http://dx.doi.org/10.1016/j.neuroimage.2022.118877
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author Pham, Damon D.
Muschelli, John
Mejia, Amanda F.
author_facet Pham, Damon D.
Muschelli, John
Mejia, Amanda F.
author_sort Pham, Damon D.
collection PubMed
description There is significant interest in adopting surface- and grayordinate-based analysis of MR data for a number of reasons, 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.
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spelling pubmed-91191432022-05-19 ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R Pham, Damon D. Muschelli, John Mejia, Amanda F. Neuroimage Article There is significant interest in adopting surface- and grayordinate-based analysis of MR data for a number of reasons, 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. 2022-04-15 2022-01-19 /pmc/articles/PMC9119143/ /pubmed/35051581 http://dx.doi.org/10.1016/j.neuroimage.2022.118877 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Pham, Damon D.
Muschelli, John
Mejia, Amanda F.
ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title_full ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title_fullStr ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title_full_unstemmed ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title_short ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
title_sort ciftitools: a package for reading, writing, visualizing, and manipulating cifti files in r
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119143/
https://www.ncbi.nlm.nih.gov/pubmed/35051581
http://dx.doi.org/10.1016/j.neuroimage.2022.118877
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