{"id":"https://openalex.org/W3158267102","doi":"https://doi.org/10.1016/j.neuroimage.2021.118141","title":"Moderated t-tests for group-level fMRI analysis","display_name":"Moderated t-tests for group-level fMRI analysis","publication_year":2021,"publication_date":"2021-05-04","ids":{"openalex":"https://openalex.org/W3158267102","doi":"https://doi.org/10.1016/j.neuroimage.2021.118141","mag":"3158267102","pmid":"https://pubmed.ncbi.nlm.nih.gov/33962000"},"language":"en","primary_location":{"id":"doi:10.1016/j.neuroimage.2021.118141","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2021.118141","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.neuroimage.2021.118141","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100334035","display_name":"Guoqing Wang","orcid":"https://orcid.org/0009-0009-9096-4957"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoqing Wang","raw_affiliation_strings":["Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087393296","display_name":"John Muschelli","orcid":"https://orcid.org/0000-0001-6469-1750"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Muschelli","raw_affiliation_strings":["Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010490290","display_name":"Martin A. Lindquist","orcid":"https://orcid.org/0000-0003-2289-0828"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Martin A. Lindquist","raw_affiliation_strings":["Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States. Electronic address: mlindqui@jhsph.edu","Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States"],"raw_orcid":"https://orcid.org/0000-0003-2289-0828","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States. Electronic address: mlindqui@jhsph.edu","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010490290"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":{"value":3450,"currency":"USD","value_usd":3450},"fwci":1.7851,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83743034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"237","issue":null,"first_page":"118141","last_page":"118141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118314266204834},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6053673624992371},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.576637864112854},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5613390207290649},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.5338875651359558},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5096540451049805},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4995107650756836},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4784391224384308},{"id":"https://openalex.org/keywords/general-linear-model","display_name":"General linear model","score":0.46918344497680664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46536779403686523},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4474117159843445},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.44066953659057617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40346240997314453},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38682520389556885},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.36210063099861145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2907501459121704},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24568578600883484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2137710452079773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118314266204834},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6053673624992371},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.576637864112854},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5613390207290649},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.5338875651359558},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5096540451049805},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4995107650756836},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4784391224384308},{"id":"https://openalex.org/C188321436","wikidata":"https://www.wikidata.org/wiki/Q1826488","display_name":"General linear model","level":3,"score":0.46918344497680664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46536779403686523},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4474117159843445},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.44066953659057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40346240997314453},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38682520389556885},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.36210063099861145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2907501459121704},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24568578600883484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2137710452079773},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011597","descriptor_name":"Psychomotor Performance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059907","descriptor_name":"Functional Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1016/j.neuroimage.2021.118141","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2021.118141","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},{"id":"pmid:33962000","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33962000","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":null},{"id":"pmh:oai:doaj.org/article:d6dcc03b6db240bfb1f613ce13b5addb","is_oa":true,"landing_page_url":"https://doaj.org/article/d6dcc03b6db240bfb1f613ce13b5addb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NeuroImage, Vol 237, Iss , Pp 118141- (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8295929","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8295929","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neuroimage","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1016/j.neuroimage.2021.118141","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2021.118141","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G311487925","display_name":null,"funder_award_id":"R01EB016061","funder_id":"https://openalex.org/F4320332884","funder_display_name":"McDonnell Center for Systems Neuroscience"},{"id":"https://openalex.org/G33430738","display_name":null,"funder_award_id":"R01EB026549","funder_id":"https://openalex.org/F4320332884","funder_display_name":"McDonnell Center for Systems Neuroscience"},{"id":"https://openalex.org/G3974302789","display_name":null,"funder_award_id":"R01 MH116026","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332884","display_name":"McDonnell Center for Systems Neuroscience","ror":"https://ror.org/01yc7t268"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"},{"id":"https://openalex.org/F4320337385","display_name":"NIH Blueprint for Neuroscience Research","ror":"https://ror.org/012wp4251"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1546952499","https://openalex.org/W1584444527","https://openalex.org/W1980932677","https://openalex.org/W1983208069","https://openalex.org/W2008970451","https://openalex.org/W2018102971","https://openalex.org/W2020519533","https://openalex.org/W2024729467","https://openalex.org/W2028125409","https://openalex.org/W2034613465","https://openalex.org/W2034690693","https://openalex.org/W2046557060","https://openalex.org/W2071608556","https://openalex.org/W2077788215","https://openalex.org/W2081098333","https://openalex.org/W2084942536","https://openalex.org/W2101562854","https://openalex.org/W2103025278","https://openalex.org/W2105824687","https://openalex.org/W2109964336","https://openalex.org/W2132785127","https://openalex.org/W2134305330","https://openalex.org/W2138790588","https://openalex.org/W2140651773","https://openalex.org/W2146512944","https://openalex.org/W2160697532","https://openalex.org/W2169428430","https://openalex.org/W2571093196","https://openalex.org/W2578898966","https://openalex.org/W2582743722","https://openalex.org/W2795826017","https://openalex.org/W2797066837","https://openalex.org/W2889622349","https://openalex.org/W2952384350","https://openalex.org/W2996080470","https://openalex.org/W3098253718","https://openalex.org/W4240402692","https://openalex.org/W4250896335","https://openalex.org/W6634927326"],"related_works":["https://openalex.org/W596304944","https://openalex.org/W1984050705","https://openalex.org/W2546755982","https://openalex.org/W2796824299","https://openalex.org/W2186366225","https://openalex.org/W4252446055","https://openalex.org/W4237363869","https://openalex.org/W4309298396","https://openalex.org/W2006517016","https://openalex.org/W1997576769"],"abstract_inverted_index":{"In":[0,88],"recent":[1],"years,":[2],"there":[3],"has":[4,47,127],"been":[5],"significant":[6,36],"criticism":[7],"of":[8,44,56,69,86,95,154],"functional":[9],"magnetic":[10],"resonance":[11],"imaging":[12],"(fMRI)":[13],"studies":[14,24,46,74,186],"with":[15,137,158,187],"small":[16,71,110],"sample":[17,72,111,188],"sizes.":[18,112],"The":[19,42,113],"argument":[20],"is":[21],"that":[22,176,197,220],"such":[23],"have":[25],"low":[26],"statistical":[27],"power,":[28],"as":[29,31,162,164],"well":[30,163],"reduced":[32],"likelihood":[33],"for":[34,99,124,135,185,217],"statistically":[35],"results":[37,58,199],"to":[38,49,76,82,104,109,227,231],"be":[39,77],"true":[40],"effects.":[41],"prevalence":[43],"these":[45],"led":[48],"a":[50,53,96,222],"situation":[51],"where":[52],"large":[54],"number":[55],"published":[57],"are":[59],"not":[60],"replicable":[61],"and":[62,206,224],"likely":[63,80],"false.":[64],"Despite":[65],"this":[66,89],"growing":[67],"body":[68],"evidence,":[70],"fMRI":[73,102,142,172,232],"continue":[75],"regularly":[78],"performed;":[79],"due":[81],"the":[83,93,118,132,145,152,155,159,165,177,198,229],"high":[84],"cost":[85],"scanning.":[87],"report":[90],"we":[91,150,195],"investigate":[92],"use":[94],"moderated":[97,156,178],"t-statistic":[98,157,167],"performing":[100],"group-level":[101],"analysis":[103],"help":[105],"alleviate":[106],"problems":[107],"related":[108],"proposed":[114],"approach,":[115],"implemented":[116],"in":[117,131,170],"popular":[119],"R-package":[120],"LIMMA":[121],"(linear":[122,215],"models":[123,216],"microarray":[125],"data),":[126],"found":[128],"wide":[129],"usage":[130],"genomics":[133],"literature":[134],"dealing":[136],"similar":[138],"issues.":[139],"Utilizing":[140],"task-based":[141],"data":[143],"from":[144],"Human":[146],"Connectome":[147],"Project":[148],"(HCP),":[149],"compare":[151],"performance":[153],"standard":[160],"t-statistic,":[161],"pseudo":[166],"commonly":[168],"used":[169],"non-parametric":[171],"analysis.":[173],"We":[174,209],"find":[175,196],"t-test":[179],"significantly":[180],"outperforms":[181],"both":[182,202],"alternative":[183],"approaches":[184],"sizes":[189],"less":[190],"than":[191],"40":[192],"subjects.":[193],"Further,":[194],"were":[200],"consistent":[201],"when":[203],"using":[204],"voxel-based":[205],"cluster-based":[207],"thresholding.":[208],"also":[210],"introduce":[211],"an":[212],"R-package,":[213],"LIMMI":[214],"medical":[218],"images),":[219],"provides":[221],"quick":[223],"convenient":[225],"way":[226],"apply":[228],"method":[230],"data.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}