{"id":"https://openalex.org/W2148245426","doi":"https://doi.org/10.1109/icassp.2009.4959601","title":"Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis","display_name":"Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2148245426","doi":"https://doi.org/10.1109/icassp.2009.4959601","mag":"2148245426"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5023159708","display_name":"Nicolle Correa","orcid":"https://orcid.org/0000-0002-0527-0806"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolle M. Correa","raw_affiliation_strings":["Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083882979","display_name":"Yi\u2010Ou Li","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Ou Li","raw_affiliation_strings":["Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County Department of CSEE, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["Department of ECE, University of New Mexico, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2264,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.93383978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9987999796867371,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9979000091552734,"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/canonical-correlation","display_name":"Canonical correlation","score":0.8412609100341797},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.8087838292121887},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6392923593521118},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5995790362358093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879881381988525},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5844173431396484},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5631764531135559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183752179145813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4995708465576172},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4800197184085846},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.4660801589488983},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42351555824279785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42173832654953003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3208009600639343},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21189391613006592},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18445441126823425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11155477166175842}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.8412609100341797},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8087838292121887},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6392923593521118},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5995790362358093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879881381988525},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5844173431396484},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5631764531135559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183752179145813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4995708465576172},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4800197184085846},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4660801589488983},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42351555824279785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42173832654953003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3208009600639343},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21189391613006592},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18445441126823425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11155477166175842},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2009.4959601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.2730","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.2730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.umbc.edu/~adali/pubs/IEEEpubs/icassp2009correa.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1527559133","https://openalex.org/W1975077471","https://openalex.org/W2013294521","https://openalex.org/W2025341678","https://openalex.org/W2034685785","https://openalex.org/W2063698478","https://openalex.org/W2132022182","https://openalex.org/W2137911531","https://openalex.org/W2141279969","https://openalex.org/W2163749565","https://openalex.org/W4213099427","https://openalex.org/W4232944527","https://openalex.org/W4237723258","https://openalex.org/W4237951138"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Typically":[0],"data":[1,62,75,121,132],"acquired":[2],"through":[3],"imaging":[4,11,69],"techniques":[5],"such":[6,35],"as":[7,151],"functional":[8],"magnetic":[9],"resonance":[10],"(fMRI),":[12],"structural":[13],"MRI":[14],"(sMRI),":[15],"and":[16,26,31,48,64,119,128],"electroencephalography(EEG)":[17],"are":[18],"analyzed":[19],"separately.":[20],"Each":[21],"modality":[22],"records":[23],"brain":[24,46,68],"structure":[25],"function":[27],"at":[28,100],"different":[29],"scales,":[30],"fusing":[32],"information":[33],"from":[34,123,134],"complementary":[36],"modalities":[37,146],"promises":[38],"to":[39,51,107,116,153],"provide":[40],"additional":[41],"insight":[42],"into":[43],"connectivity":[44],"across":[45,89,111],"networks":[47],"changes":[49],"due":[50],"disease.":[52],"Recently,":[53],"a":[54,73],"number":[55],"of":[56,66,87,144,155],"methods":[57],"have":[58],"been":[59],"proposed":[60],"for":[61],"integration":[63],"fusion":[65,76,143,154],"two":[67,156],"modalities.":[70,91,112,157],"We":[71,113],"propose":[72],"new":[74],"scheme":[77,98],"based":[78],"on":[79],"canonical":[80,94],"correlation":[81,95],"analysis":[82,96],"that":[83,141],"enables":[84],"the":[85,101,142],"detection":[86],"associations":[88,150],"multiple":[90,145],"Our":[92],"multimodal":[93],"(mCCA)":[97],"works":[99],"feature":[102],"level":[103],"using":[104],"multi-set":[105],"CCA":[106],"determine":[108],"inter-subject":[109],"covariations":[110],"apply":[114],"mCCA":[115],"fMRI,":[117],"sMRI,":[118],"EEG":[120],"collected":[122,133],"patients":[124],"diagnosed":[125],"with":[126],"schizophrenia":[127],"healthy":[129],"controls.":[130],"Through":[131],"an":[135],"auditory":[136],"oddball":[137],"task,":[138],"we":[139],"show":[140],"detects":[147],"more":[148],"specific":[149],"compared":[152]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}