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Efficient evaluation of the Open QC task fMRI dataset
This article is an evaluation of the task dataset as part of the Demonstrating Quality Control (QC) Procedures in fMRI (FMRI Open QC Project) methodological research topic. The quality of both the task and fMRI aspects of the dataset are summarized in concise reports created with R, AFNI, and knitr....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406291/ https://www.ncbi.nlm.nih.gov/pubmed/37554632 http://dx.doi.org/10.3389/fnimg.2023.1070274 |
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author | Etzel, Joset A. |
author_facet | Etzel, Joset A. |
author_sort | Etzel, Joset A. |
collection | PubMed |
description | This article is an evaluation of the task dataset as part of the Demonstrating Quality Control (QC) Procedures in fMRI (FMRI Open QC Project) methodological research topic. The quality of both the task and fMRI aspects of the dataset are summarized in concise reports created with R, AFNI, and knitr. The reports and underlying tests are designed to highlight potential issues, are pdf files for easy archiving, and require relatively little experience to use and adapt. This article is accompanied by both the compiled reports and the source code and explanation necessary to use them. |
format | Online Article Text |
id | pubmed-10406291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104062912023-08-08 Efficient evaluation of the Open QC task fMRI dataset Etzel, Joset A. Front Neuroimaging Neuroimaging This article is an evaluation of the task dataset as part of the Demonstrating Quality Control (QC) Procedures in fMRI (FMRI Open QC Project) methodological research topic. The quality of both the task and fMRI aspects of the dataset are summarized in concise reports created with R, AFNI, and knitr. The reports and underlying tests are designed to highlight potential issues, are pdf files for easy archiving, and require relatively little experience to use and adapt. This article is accompanied by both the compiled reports and the source code and explanation necessary to use them. Frontiers Media S.A. 2023-02-17 /pmc/articles/PMC10406291/ /pubmed/37554632 http://dx.doi.org/10.3389/fnimg.2023.1070274 Text en Copyright © 2023 Etzel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroimaging Etzel, Joset A. Efficient evaluation of the Open QC task fMRI dataset |
title | Efficient evaluation of the Open QC task fMRI dataset |
title_full | Efficient evaluation of the Open QC task fMRI dataset |
title_fullStr | Efficient evaluation of the Open QC task fMRI dataset |
title_full_unstemmed | Efficient evaluation of the Open QC task fMRI dataset |
title_short | Efficient evaluation of the Open QC task fMRI dataset |
title_sort | efficient evaluation of the open qc task fmri dataset |
topic | Neuroimaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406291/ https://www.ncbi.nlm.nih.gov/pubmed/37554632 http://dx.doi.org/10.3389/fnimg.2023.1070274 |
work_keys_str_mv | AT etzeljoseta efficientevaluationoftheopenqctaskfmridataset |