Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R

Functional magnetic resonance imaging (fMRI) is a thriving field that plays an important role in medical imaging analysis, biological and neuroscience research and practice. This manuscript gives a didactic introduction to the statistical analysis of fMRI data using the R project, along with the rel...

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Detalles Bibliográficos
Autores principales: Eloyan, Ani, Li, Shanshan, Muschelli, John, Pekar, Jim J., Mostofsky, Stewart H., Caffo, Brian S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938835/
https://www.ncbi.nlm.nih.gov/pubmed/24586801
http://dx.doi.org/10.1371/journal.pone.0089470
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author Eloyan, Ani
Li, Shanshan
Muschelli, John
Pekar, Jim J.
Mostofsky, Stewart H.
Caffo, Brian S.
author_facet Eloyan, Ani
Li, Shanshan
Muschelli, John
Pekar, Jim J.
Mostofsky, Stewart H.
Caffo, Brian S.
author_sort Eloyan, Ani
collection PubMed
description Functional magnetic resonance imaging (fMRI) is a thriving field that plays an important role in medical imaging analysis, biological and neuroscience research and practice. This manuscript gives a didactic introduction to the statistical analysis of fMRI data using the R project, along with the relevant R code. The goal is to give statisticians who would like to pursue research in this area a quick tutorial for programming with fMRI data. References of relevant packages and papers are provided for those interested in more advanced analysis.
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spelling pubmed-39388352014-03-04 Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R Eloyan, Ani Li, Shanshan Muschelli, John Pekar, Jim J. Mostofsky, Stewart H. Caffo, Brian S. PLoS One Research Article Functional magnetic resonance imaging (fMRI) is a thriving field that plays an important role in medical imaging analysis, biological and neuroscience research and practice. This manuscript gives a didactic introduction to the statistical analysis of fMRI data using the R project, along with the relevant R code. The goal is to give statisticians who would like to pursue research in this area a quick tutorial for programming with fMRI data. References of relevant packages and papers are provided for those interested in more advanced analysis. Public Library of Science 2014-02-28 /pmc/articles/PMC3938835/ /pubmed/24586801 http://dx.doi.org/10.1371/journal.pone.0089470 Text en © 2014 Eloyan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Eloyan, Ani
Li, Shanshan
Muschelli, John
Pekar, Jim J.
Mostofsky, Stewart H.
Caffo, Brian S.
Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title_full Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title_fullStr Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title_full_unstemmed Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title_short Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
title_sort analytic programming with fmri data: a quick-start guide for statisticians using r
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938835/
https://www.ncbi.nlm.nih.gov/pubmed/24586801
http://dx.doi.org/10.1371/journal.pone.0089470
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