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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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. |
format | Online Article Text |
id | pubmed-9119143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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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