{"id":"https://openalex.org/W2154119708","doi":"https://doi.org/10.1109/isbi.2010.5490195","title":"Measuring effects of latency in brain activity with fMRI","display_name":"Measuring effects of latency in brain activity with fMRI","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W2154119708","doi":"https://doi.org/10.1109/isbi.2010.5490195","mag":"2154119708"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045352499","display_name":"Firdaus Janoos","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Firdaus Janoos","raw_affiliation_strings":["The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002832419","display_name":"Raghu Machiraju","orcid":"https://orcid.org/0000-0002-8101-8119"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghu Machiraju","raw_affiliation_strings":["The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005988154","display_name":"Steffen Sammet","orcid":"https://orcid.org/0000-0001-6564-9132"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steffen Sammet","raw_affiliation_strings":["The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016175407","display_name":"Michael V. Knopp","orcid":"https://orcid.org/0000-0001-9543-2962"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael V. Knopp","raw_affiliation_strings":["The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054913205","display_name":"Simon K. Warfield","orcid":"https://orcid.org/0000-0002-7659-3880"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon K. Warfield","raw_affiliation_strings":["Harvard Medical School, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029940696","display_name":"I M\u00f3rocz","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Istvan Akos Morocz","raw_affiliation_strings":["Harvard Medical School, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24500303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1141","last_page":"1144"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6973839402198792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536258459091187},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6106452941894531},{"id":"https://openalex.org/keywords/neglect","display_name":"Neglect","score":0.5657439827919006},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5525875687599182},{"id":"https://openalex.org/keywords/statistical-parametric-mapping","display_name":"Statistical parametric mapping","score":0.4615379273891449},{"id":"https://openalex.org/keywords/general-linear-model","display_name":"General linear model","score":0.44233325123786926},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.44042742252349854},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43461477756500244},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.43076157569885254},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.41910040378570557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36518406867980957},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.347502738237381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30407923460006714},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.26854562759399414},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2460583746433258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20181462168693542},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.19989976286888123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17264851927757263},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.10364788770675659},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08219525218009949},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07907095551490784}],"concepts":[{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6973839402198792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536258459091187},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6106452941894531},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.5657439827919006},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5525875687599182},{"id":"https://openalex.org/C39313694","wikidata":"https://www.wikidata.org/wiki/Q2940624","display_name":"Statistical parametric mapping","level":3,"score":0.4615379273891449},{"id":"https://openalex.org/C188321436","wikidata":"https://www.wikidata.org/wiki/Q1826488","display_name":"General linear model","level":3,"score":0.44233325123786926},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.44042742252349854},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43461477756500244},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.43076157569885254},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.41910040378570557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36518406867980957},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.347502738237381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30407923460006714},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.26854562759399414},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2460583746433258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20181462168693542},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.19989976286888123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17264851927757263},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.10364788770675659},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08219525218009949},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07907095551490784},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2010.5490195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1994454049","https://openalex.org/W2013052341","https://openalex.org/W2116649573","https://openalex.org/W2120938928","https://openalex.org/W2151811639","https://openalex.org/W2156643110"],"related_works":["https://openalex.org/W596304944","https://openalex.org/W1984050705","https://openalex.org/W2274260477","https://openalex.org/W2546755982","https://openalex.org/W2796824299","https://openalex.org/W2186366225","https://openalex.org/W2169210625","https://openalex.org/W4252446055","https://openalex.org/W4237363869","https://openalex.org/W4309298396"],"abstract_inverted_index":{"In":[0,54],"fMRI":[1,90],"analysis,":[2],"general":[3],"linear":[4],"modelling":[5],"(GLM)":[6],"is":[7],"commonly":[8],"used":[9],"because":[10],"of":[11,27,32,41,79,96],"its":[12,46],"explanatory":[13],"power,":[14],"statistical":[15,77],"simplicity":[16],"and":[17,34,84],"computational":[18],"efficiency.":[19],"Such":[20],"models":[21],"primarily":[22],"measure":[23],"the":[24,42,76],"parametric":[25],"effects":[26,38,65],"experimental":[28,64],"conditions":[29],"on":[30,39,87],"amplitude":[31,104],"activation,":[33],"neglect":[35],"other":[36],"important":[37],"nature":[40],"hemodynamic":[43],"response,":[44],"including":[45],"temporal":[47],"characteristics":[48],"such":[49],"as":[50],"relative":[51],"latency":[52,92],"(delay).":[53],"this":[55],"paper,":[56],"we":[57],"present":[58],"a":[59],"GLM":[60],"approach":[61],"to":[62],"estimate":[63],"on,":[66],"not":[67],"only":[68],"activation":[69],"amplitude,":[70],"but":[71],"also":[72],"latency.":[73],"We":[74],"validate":[75],"properties":[78],"our":[80],"method":[81],"through":[82],"simulations,":[83],"show":[85],"that":[86,103],"in":[88],"vivo":[89],"data,":[91],"can":[93],"characterize":[94],"aspects":[95],"neural":[97],"recruitment":[98],"during":[99],"different":[100],"cognitive":[101],"tasks,":[102],"alone":[105],"cannot.":[106]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}