{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:55:55Z","timestamp":1772121355997,"version":"3.50.1"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100012264","name":"NIH","doi-asserted-by":"publisher","award":["R01 CA157528"],"award-info":[{"award-number":["R01 CA157528"]}],"id":[{"id":"10.13039\/501100012264","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012264","name":"NIH","doi-asserted-by":"publisher","award":["R01 EB026859"],"award-info":[{"award-number":["R01 EB026859"]}],"id":[{"id":"10.13039\/501100012264","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1016\/j.neuroimage.2019.04.041","type":"journal-article","created":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T02:55:00Z","timestamp":1556074500000},"page":"402-413","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Peak p-values and false discovery rate inference in neuroimaging"],"prefix":"10.1016","volume":"197","author":[{"given":"Armin","family":"Schwartzman","sequence":"first","affiliation":[]},{"given":"Fabian","family":"Telschow","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2019.04.041_bib1","volume":"vol.62","author":"Adler","year":"1981"},{"key":"10.1016\/j.neuroimage.2019.04.041_bib2","series-title":"Applications of random fields and geometry: foundations and case studies","author":"Adler","year":"2010"},{"issue":"1","key":"10.1016\/j.neuroimage.2019.04.041_bib3","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J.\u00a0R. Stat. Soc. B"},{"issue":"6","key":"10.1016\/j.neuroimage.2019.04.041_bib4","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1214\/009053606000001523","article-title":"The Dantzig selector: statistical estimation when p is much larger than n","volume":"35","author":"Candes","year":"2007","journal-title":"Ann. Stat."},{"issue":"2","key":"10.1016\/j.neuroimage.2019.04.041_bib5","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10687-014-0211-z","article-title":"Distribution of the height of local maxima of Gaussian random fields","volume":"18","author":"Cheng","year":"2015","journal-title":"Extremes"},{"key":"10.1016\/j.neuroimage.2019.04.041_bib6","series-title":"On the explicit height distribution and expected number of local maxima of isotropic Gaussian random fields","author":"Cheng","year":"2015"},{"issue":"2","key":"10.1016\/j.neuroimage.2019.04.041_bib7","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1214\/16-AOS1458","article-title":"Multiple testing of local maxima for detection of peaks in random fields","volume":"45","author":"Cheng","year":"2017","journal-title":"Ann. Stat."},{"issue":"4B","key":"10.1016\/j.neuroimage.2019.04.041_bib8","doi-asserted-by":"crossref","first-page":"3422","DOI":"10.3150\/17-BEJ964","article-title":"Expected number and height distribution of critical points of smooth isotropic Gaussian random fields","volume":"24","author":"Cheng","year":"2018","journal-title":"Bernoulli"},{"issue":"1","key":"10.1016\/j.neuroimage.2019.04.041_bib9","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neuroimage.2008.05.021","article-title":"False discovery rate revisited: FDR and topological inference using Gaussian random fields","volume":"44","author":"Chumbley","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2019.04.041_bib10","doi-asserted-by":"crossref","first-page":"3057","DOI":"10.1016\/j.neuroimage.2009.10.090","article-title":"Topological FDR for neuroimaging","volume":"49","author":"Chumbley","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2019.04.041_bib11","series-title":"Power and Sample Size Calculations for fMRI Studies Based on the Prevalence of Active Peaks. bioRxiv","first-page":"049429","author":"Durnez","year":"2016"},{"key":"10.1016\/j.neuroimage.2019.04.041_bib12","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.neuroimage.2013.07.072","article-title":"Post-hoc power estimation for topological inference in fMRI","volume":"49","author":"Durnez","year":"2014","journal-title":"Neuroimage"},{"issue":"465","key":"10.1016\/j.neuroimage.2019.04.041_bib13","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1198\/016214504000000089","article-title":"Large-scale simultaneous hypothesis testing: the choice of a null hypothesis","volume":"99","author":"Efron","year":"2004","journal-title":"J.\u00a0Am. Stat. Assoc."},{"issue":"28","key":"10.1016\/j.neuroimage.2019.04.041_bib14","doi-asserted-by":"crossref","first-page":"7900","DOI":"10.1073\/pnas.1602413113","article-title":"Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates","volume":"113","author":"Eklund","year":"2016","journal-title":"Proc. Natl. Acad. Sci. Unit. States Am."},{"key":"10.1016\/j.neuroimage.2019.04.041_bib15","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.neuroimage.2016.09.045","article-title":"Topological false discovery rates for brain mapping based on signal height","volume":"167","author":"Li","year":"2018","journal-title":"Neuroimage"},{"issue":"16","key":"10.1016\/j.neuroimage.2019.04.041_bib16","doi-asserted-by":"crossref","first-page":"5553","DOI":"10.1523\/JNEUROSCI.5511-11.2012","article-title":"Social-cognitive deficits in normal aging","volume":"3","author":"Moran","year":"2012","journal-title":"J.\u00a0Neurosci."},{"issue":"7","key":"10.1016\/j.neuroimage.2019.04.041_bib17","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1016\/j.jmva.2006.11.011","article-title":"Scan clustering: a false discovery approach","volume":"98","author":"Pacifico","year":"2007","journal-title":"J.\u00a0Multivar. Anal."},{"key":"10.1016\/j.neuroimage.2019.04.041_bib18","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1006\/nimg.1996.0248","article-title":"Combining spatial extent and peak intensity to test for activations in functional imaging","volume":"5","author":"Poline","year":"1997","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neuroimage.2019.04.041_bib19","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.neuroimage.2008.04.182","article-title":"Empirical null and false discovery rate analysis in neuroimaging","volume":"44","author":"Schwartzman","year":"2009","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.neuroimage.2019.04.041_bib20","doi-asserted-by":"crossref","first-page":"3290","DOI":"10.1214\/11-AOS943","article-title":"Multiple testing of local maxima for detection of peaks in 1d","volume":"39","author":"Schwartzman","year":"2011","journal-title":"Ann. Stat."},{"key":"10.1016\/j.neuroimage.2019.04.041_bib21","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1002\/(SICI)1097-0193(1996)4:1<74::AID-HBM5>3.0.CO;2-M","article-title":"Searching scale space for activation in PET images","volume":"4","author":"Worsley","year":"1996","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2019.04.041_bib22","doi-asserted-by":"crossref","first-page":"S189","DOI":"10.1016\/j.neuroimage.2004.07.026","article-title":"Unified univariate and multivariate random field theory","volume":"23","author":"Worsley","year":"2004","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.neuroimage.2019.04.041_bib23","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1214\/09-AOS729","article-title":"Nearly unbiased variable selection under minimax concave penalty","volume":"38","author":"Zhang","year":"2010","journal-title":"Ann. Stat."}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811919303271?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811919303271?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T02:25:52Z","timestamp":1721183152000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811919303271"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":23,"alternative-id":["S1053811919303271"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2019.04.041","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/358051","asserted-by":"object"}]},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2019,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Peak p-values and false discovery rate inference in neuroimaging","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2019.04.041","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}