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. []: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they...
Gespeichert in:
| Veröffentlicht in: | Human brain mapping 2019-05, Vol.40 (7), p.2052-2054 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2054 |
|---|---|
| container_issue | 7 |
| container_start_page | 2052 |
| container_title | Human brain mapping |
| container_volume | 40 |
| creator | Flandin, Guillaume Friston, Karl J. |
| 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. []: 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. []: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. |
| doi_str_mv | 10.1002/hbm.23839 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6585687</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2201707869</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5099-89c5cbf10011c4da9e63248279d3b6de8336228e90be7bc7a762cd2c74d13d7e3</originalsourceid><addsrcrecordid>eNp1kc1KHjEUhoNU1NouvIES6KZdjOZnZpJsBCttFRQ37TpkkjN-kcxkmsxUZtdL8Bq9ks7Xz4oKbk4O5OHh5bwIHVBySAlhR6umO2RccrWF9ihRoiBU8Tfrva4KVQq6i97mfEMIpRWhO2iXKaIo53IPmZPehDn7jGOLW9P5MN__ubv1GTCkFBNOZoSMfY_zaEafR29NwINJpoMxeYs7Mwy-v8ZTXs9kehc73HoIDo8riGl-h7ZbEzK8f3j30c9vX3-cnhUXV9_PT08uClsRpQqpbGWblq5D2tIZBTVnpWRCOd7UDiTnNWMSFGlANFYYUTPrmBWlo9wJ4PvoeOMdpqYDZ6Efkwl6SL4zadbReP38p_crfR1_67qSVS3FIvj0IEjx1wR51J3PFkIwPcQpa6oWsKwYJwv68QV6E6e0XDJrxggVRMhaLdTnDWVTzDlB-xiGEr0uTi_F6X_FLeyHp-kfyf9NLcDRBrj1AebXTfrsy-VG-RdaraTf</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2201707869</pqid></control><display><type>article</type><title>Analysis of family‐wise error rates in statistical parametric mapping using random field theory</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Flandin, Guillaume ; Friston, Karl J.</creator><creatorcontrib>Flandin, Guillaume ; Friston, Karl J.</creatorcontrib><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. []: 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. []: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.23839</identifier><identifier>PMID: 29091338</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Brain ; Brain - diagnostic imaging ; Brain - physiology ; Brain mapping ; Brain Mapping - methods ; Brain Mapping - statistics & numerical data ; Data Interpretation, Statistical ; Error analysis ; family‐wise error rate ; Field theory ; Fields (mathematics) ; Humans ; Image processing ; Magnetic Resonance Imaging - methods ; Magnetic Resonance Imaging - statistics & numerical data ; Mapping ; Medical imaging ; Neuroimaging ; Neurology ; Quantum theory ; random field theory ; Special Section: On the Topic of Cluster Failure ; statistical parametric mapping ; Statistics ; topological inference</subject><ispartof>Human brain mapping, 2019-05, Vol.40 (7), p.2052-2054</ispartof><rights>2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.</rights><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5099-89c5cbf10011c4da9e63248279d3b6de8336228e90be7bc7a762cd2c74d13d7e3</citedby><cites>FETCH-LOGICAL-c5099-89c5cbf10011c4da9e63248279d3b6de8336228e90be7bc7a762cd2c74d13d7e3</cites><orcidid>0000-0001-7984-8909</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585687/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585687/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29091338$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Flandin, Guillaume</creatorcontrib><creatorcontrib>Friston, Karl J.</creatorcontrib><title>Analysis of family‐wise error rates in statistical parametric mapping using random field theory</title><title>Human brain mapping</title><addtitle>Hum Brain Mapp</addtitle><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. []: 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. []: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.</description><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - physiology</subject><subject>Brain mapping</subject><subject>Brain Mapping - methods</subject><subject>Brain Mapping - statistics & numerical data</subject><subject>Data Interpretation, Statistical</subject><subject>Error analysis</subject><subject>family‐wise error rate</subject><subject>Field theory</subject><subject>Fields (mathematics)</subject><subject>Humans</subject><subject>Image processing</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic Resonance Imaging - statistics & numerical data</subject><subject>Mapping</subject><subject>Medical imaging</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Quantum theory</subject><subject>random field theory</subject><subject>Special Section: On the Topic of Cluster Failure</subject><subject>statistical parametric mapping</subject><subject>Statistics</subject><subject>topological inference</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kc1KHjEUhoNU1NouvIES6KZdjOZnZpJsBCttFRQ37TpkkjN-kcxkmsxUZtdL8Bq9ks7Xz4oKbk4O5OHh5bwIHVBySAlhR6umO2RccrWF9ihRoiBU8Tfrva4KVQq6i97mfEMIpRWhO2iXKaIo53IPmZPehDn7jGOLW9P5MN__ubv1GTCkFBNOZoSMfY_zaEafR29NwINJpoMxeYs7Mwy-v8ZTXs9kehc73HoIDo8riGl-h7ZbEzK8f3j30c9vX3-cnhUXV9_PT08uClsRpQqpbGWblq5D2tIZBTVnpWRCOd7UDiTnNWMSFGlANFYYUTPrmBWlo9wJ4PvoeOMdpqYDZ6Efkwl6SL4zadbReP38p_crfR1_67qSVS3FIvj0IEjx1wR51J3PFkIwPcQpa6oWsKwYJwv68QV6E6e0XDJrxggVRMhaLdTnDWVTzDlB-xiGEr0uTi_F6X_FLeyHp-kfyf9NLcDRBrj1AebXTfrsy-VG-RdaraTf</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Flandin, Guillaume</creator><creator>Friston, Karl J.</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7984-8909</orcidid></search><sort><creationdate>201905</creationdate><title>Analysis of family‐wise error rates in statistical parametric mapping using random field theory</title><author>Flandin, Guillaume ; Friston, Karl J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5099-89c5cbf10011c4da9e63248279d3b6de8336228e90be7bc7a762cd2c74d13d7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - physiology</topic><topic>Brain mapping</topic><topic>Brain Mapping - methods</topic><topic>Brain Mapping - statistics & numerical data</topic><topic>Data Interpretation, Statistical</topic><topic>Error analysis</topic><topic>family‐wise error rate</topic><topic>Field theory</topic><topic>Fields (mathematics)</topic><topic>Humans</topic><topic>Image processing</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic Resonance Imaging - statistics & numerical data</topic><topic>Mapping</topic><topic>Medical imaging</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Quantum theory</topic><topic>random field theory</topic><topic>Special Section: On the Topic of Cluster Failure</topic><topic>statistical parametric mapping</topic><topic>Statistics</topic><topic>topological inference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Flandin, Guillaume</creatorcontrib><creatorcontrib>Friston, Karl J.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Flandin, Guillaume</au><au>Friston, Karl J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of family‐wise error rates in statistical parametric mapping using random field theory</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum Brain Mapp</addtitle><date>2019-05</date><risdate>2019</risdate><volume>40</volume><issue>7</issue><spage>2052</spage><epage>2054</epage><pages>2052-2054</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>This technical report revisits the analysis of family‐wise error rates in statistical parametric mapping—using random field theory—reported in (Eklund et al. []: 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. []: arXiv 1511.01863) for parametric procedures. Hum Brain Mapp, 40:2052–2054, 2019. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>29091338</pmid><doi>10.1002/hbm.23839</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0001-7984-8909</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1065-9471 |
| ispartof | Human brain mapping, 2019-05, Vol.40 (7), p.2052-2054 |
| issn | 1065-9471 1097-0193 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6585687 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Brain Brain - diagnostic imaging Brain - physiology Brain mapping Brain Mapping - methods Brain Mapping - statistics & numerical data Data Interpretation, Statistical Error analysis family‐wise error rate Field theory Fields (mathematics) Humans Image processing Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Mapping Medical imaging Neuroimaging Neurology Quantum theory random field theory Special Section: On the Topic of Cluster Failure statistical parametric mapping Statistics topological inference |
| title | Analysis of family‐wise error rates in statistical parametric mapping using random field theory |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T23%3A16%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20family%E2%80%90wise%20error%20rates%20in%20statistical%20parametric%20mapping%20using%20random%20field%20theory&rft.jtitle=Human%20brain%20mapping&rft.au=Flandin,%20Guillaume&rft.date=2019-05&rft.volume=40&rft.issue=7&rft.spage=2052&rft.epage=2054&rft.pages=2052-2054&rft.issn=1065-9471&rft.eissn=1097-0193&rft_id=info:doi/10.1002/hbm.23839&rft_dat=%3Cproquest_pubme%3E2201707869%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2201707869&rft_id=info:pmid/29091338&rfr_iscdi=true |