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A Review of fMRI Simulation Studies
Simulation studies that validate statistical techniques for fMRI data are challenging due to the complexity of the data. Therefore, it is not surprising that no common data generating process is available (i.e. several models can be found to model BOLD activation and noise). Based on a literature se...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105464/ https://www.ncbi.nlm.nih.gov/pubmed/25048024 http://dx.doi.org/10.1371/journal.pone.0101953 |
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author | Welvaert, Marijke Rosseel, Yves |
author_facet | Welvaert, Marijke Rosseel, Yves |
author_sort | Welvaert, Marijke |
collection | PubMed |
description | Simulation studies that validate statistical techniques for fMRI data are challenging due to the complexity of the data. Therefore, it is not surprising that no common data generating process is available (i.e. several models can be found to model BOLD activation and noise). Based on a literature search, a database of simulation studies was compiled. The information in this database was analysed and critically evaluated focusing on the parameters in the simulation design, the adopted model to generate fMRI data, and on how the simulation studies are reported. Our literature analysis demonstrates that many fMRI simulation studies do not report a thorough experimental design and almost consistently ignore crucial knowledge on how fMRI data are acquired. Advice is provided on how the quality of fMRI simulation studies can be improved. |
format | Online Article Text |
id | pubmed-4105464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41054642014-07-23 A Review of fMRI Simulation Studies Welvaert, Marijke Rosseel, Yves PLoS One Research Article Simulation studies that validate statistical techniques for fMRI data are challenging due to the complexity of the data. Therefore, it is not surprising that no common data generating process is available (i.e. several models can be found to model BOLD activation and noise). Based on a literature search, a database of simulation studies was compiled. The information in this database was analysed and critically evaluated focusing on the parameters in the simulation design, the adopted model to generate fMRI data, and on how the simulation studies are reported. Our literature analysis demonstrates that many fMRI simulation studies do not report a thorough experimental design and almost consistently ignore crucial knowledge on how fMRI data are acquired. Advice is provided on how the quality of fMRI simulation studies can be improved. Public Library of Science 2014-07-21 /pmc/articles/PMC4105464/ /pubmed/25048024 http://dx.doi.org/10.1371/journal.pone.0101953 Text en © 2014 Welvaert, Rosseel 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 Welvaert, Marijke Rosseel, Yves A Review of fMRI Simulation Studies |
title | A Review of fMRI Simulation Studies |
title_full | A Review of fMRI Simulation Studies |
title_fullStr | A Review of fMRI Simulation Studies |
title_full_unstemmed | A Review of fMRI Simulation Studies |
title_short | A Review of fMRI Simulation Studies |
title_sort | review of fmri simulation studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105464/ https://www.ncbi.nlm.nih.gov/pubmed/25048024 http://dx.doi.org/10.1371/journal.pone.0101953 |
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