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Analysis of family‐wise error rates in statistical parametric mapping using random field theory
This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. [2015]: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585687/ https://www.ncbi.nlm.nih.gov/pubmed/29091338 http://dx.doi.org/10.1002/hbm.23839 |
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author | Flandin, Guillaume Friston, Karl J. |
author_facet | Flandin, Guillaume Friston, Karl J. |
author_sort | Flandin, Guillaume |
collection | PubMed |
description | This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. [2015]: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they endorse the use of parametric assumptions—and random field theory—in the analysis of functional neuroimaging data. We briefly rehearse the advantages parametric analyses offer over nonparametric alternatives and then unpack the implications of (Eklund et al. [2015]: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-6585687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65856872019-06-27 Analysis of family‐wise error rates in statistical parametric mapping using random field theory Flandin, Guillaume Friston, Karl J. Hum Brain Mapp Special Section: On the Topic of Cluster Failure This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. [2015]: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they endorse the use of parametric assumptions—and random field theory—in the analysis of functional neuroimaging data. We briefly rehearse the advantages parametric analyses offer over nonparametric alternatives and then unpack the implications of (Eklund et al. [2015]: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2017-11-01 /pmc/articles/PMC6585687/ /pubmed/29091338 http://dx.doi.org/10.1002/hbm.23839 Text en © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Section: On the Topic of Cluster Failure Flandin, Guillaume Friston, Karl J. Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title_full | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title_fullStr | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title_full_unstemmed | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title_short | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
title_sort | analysis of family‐wise error rates in statistical parametric mapping using random field theory |
topic | Special Section: On the Topic of Cluster Failure |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585687/ https://www.ncbi.nlm.nih.gov/pubmed/29091338 http://dx.doi.org/10.1002/hbm.23839 |
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