Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Flandin, Guillaume, Friston, Karl J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
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
_version_ 1783428750626521088
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
work_keys_str_mv AT flandinguillaume analysisoffamilywiseerrorratesinstatisticalparametricmappingusingrandomfieldtheory
AT fristonkarlj analysisoffamilywiseerrorratesinstatisticalparametricmappingusingrandomfieldtheory