{"id":"https://openalex.org/W2333883244","doi":"https://doi.org/10.1007/s40708-016-0049-z","title":"Brain response pattern identification of fMRI data using a particle swarm optimization-based approach","display_name":"Brain response pattern identification of fMRI data using a particle swarm optimization-based approach","publication_year":2016,"publication_date":"2016-04-07","ids":{"openalex":"https://openalex.org/W2333883244","doi":"https://doi.org/10.1007/s40708-016-0049-z","mag":"2333883244","pmid":"https://pubmed.ncbi.nlm.nih.gov/27747594"},"language":"en","primary_location":{"id":"doi:10.1007/s40708-016-0049-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-016-0049-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-016-0049-z.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-016-0049-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111552689","display_name":"Xinpei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinpei Ma","raw_affiliation_strings":["Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111671213","display_name":"Chun\u2010An Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-An Chou","raw_affiliation_strings":["Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA. cachou@binghamton.edu","Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA. cachou@binghamton.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052717630","display_name":"Hiroki Sayama","orcid":"https://orcid.org/0000-0002-2670-5864"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroki Sayama","raw_affiliation_strings":["Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA"],"affiliations":[{"raw_affiliation_string":"Department of Systems Science & Industrial Engineering, Binghamton University, the State University of New York, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015925945","display_name":"W. Art Chaovalitwongse","orcid":"https://orcid.org/0000-0002-8051-5981"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wanpracha Art Chaovalitwongse","raw_affiliation_strings":["Department of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, USA","Departments of Industrial & Systems Engineering, Department of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I4210166946","https://openalex.org/I58610484","https://openalex.org/I201448701"]},{"raw_affiliation_string":"Departments of Industrial & Systems Engineering, Department of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I4210166946","https://openalex.org/I58610484","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111552689"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":2.0037,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85469513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"3","first_page":"181","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9975000023841858,"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":0.9975000023841858,"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/T11094","display_name":"Face Recognition and Perception","score":0.9975000023841858,"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":0.9944000244140625,"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/voxel","display_name":"Voxel","score":0.7940350770950317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7309948205947876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985985636711121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6908746361732483},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6598113179206848},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6552450656890869},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5678471922874451},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5444064140319824},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.46920791268348694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4406960904598236},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43082261085510254},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2846377491950989},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11556875705718994},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10268375277519226}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7940350770950317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7309948205947876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985985636711121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6908746361732483},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6598113179206848},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6552450656890869},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5678471922874451},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5444064140319824},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.46920791268348694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4406960904598236},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43082261085510254},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2846377491950989},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11556875705718994},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10268375277519226}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s40708-016-0049-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-016-0049-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-016-0049-z.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},{"id":"pmid:27747594","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27747594","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":"Brain informatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4999570","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4999570","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brain Inform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s40708-016-0049-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-016-0049-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-016-0049-z.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2666606801","display_name":null,"funder_award_id":"66508","funder_id":"https://openalex.org/F4320332681","funder_display_name":"Binghamton University"},{"id":"https://openalex.org/G3405052219","display_name":null,"funder_award_id":"1319152","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8564848253","display_name":null,"funder_award_id":"66508","funder_id":"https://openalex.org/F4320332203","funder_display_name":"Research Foundation for the State University of New York"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309644","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08"},{"id":"https://openalex.org/F4320332203","display_name":"Research Foundation for the State University of New York","ror":"https://ror.org/01sfc5174"},{"id":"https://openalex.org/F4320332681","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2333883244.pdf","grobid_xml":"https://content.openalex.org/works/W2333883244.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W97774586","https://openalex.org/W1158789509","https://openalex.org/W1570713908","https://openalex.org/W1576426930","https://openalex.org/W1585002319","https://openalex.org/W1613872962","https://openalex.org/W1692713333","https://openalex.org/W1934567097","https://openalex.org/W1963626514","https://openalex.org/W1968011797","https://openalex.org/W1978660262","https://openalex.org/W1980459279","https://openalex.org/W1981849639","https://openalex.org/W1994900366","https://openalex.org/W1997298866","https://openalex.org/W2003120749","https://openalex.org/W2007483873","https://openalex.org/W2013885787","https://openalex.org/W2015954856","https://openalex.org/W2019974878","https://openalex.org/W2025283285","https://openalex.org/W2033777218","https://openalex.org/W2036613205","https://openalex.org/W2041853331","https://openalex.org/W2050399271","https://openalex.org/W2051680981","https://openalex.org/W2059115408","https://openalex.org/W2060211116","https://openalex.org/W2061744336","https://openalex.org/W2063404606","https://openalex.org/W2076046792","https://openalex.org/W2089632738","https://openalex.org/W2099629058","https://openalex.org/W2101234009","https://openalex.org/W2106351878","https://openalex.org/W2112523573","https://openalex.org/W2112999969","https://openalex.org/W2113107006","https://openalex.org/W2123923307","https://openalex.org/W2123927491","https://openalex.org/W2124258777","https://openalex.org/W2128155135","https://openalex.org/W2131355461","https://openalex.org/W2145113795","https://openalex.org/W2149851883","https://openalex.org/W2155417802","https://openalex.org/W2158485497","https://openalex.org/W2158868693","https://openalex.org/W2168372372","https://openalex.org/W2170797424"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W2803255289","https://openalex.org/W3027020613","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W2016533837","https://openalex.org/W2550734047","https://openalex.org/W2176526134"],"abstract_inverted_index":{"Many":[0],"neuroscience":[1],"studies":[2],"have":[3],"been":[4],"devoted":[5],"to":[6,12,22,25,66,168],"understand":[7],"brain":[8],"neural":[9],"responses":[10],"correlating":[11],"cognition":[13],"using":[14,45],"functional":[15],"magnetic":[16],"resonance":[17],"imaging":[18],"(fMRI).":[19],"In":[20,115],"contrast":[21],"univariate":[23],"analysis":[24,35],"identify":[26,128],"response":[27,68,130,165],"patterns,":[28,69,166],"it":[29],"is":[30],"shown":[31],"that":[32],"multi-voxel":[33],"pattern":[34,60,131],"(MVPA)":[36],"of":[37,136,142,152],"fMRI":[38],"data":[39],"becomes":[40],"a":[41,58,95,129],"relatively":[42],"effective":[43],"approach":[44,145],"machine":[46],"learning":[47],"techniques":[48],"in":[49,70,113],"the":[50,64,91,116,122,134,137,143,149,163],"recent":[51],"literature.":[52],"MVPA":[53],"can":[54],"be":[55],"considered":[56],"as":[57,174],"multi-objective":[59],"classification":[61,82,160],"problem":[62],"with":[63,75,85],"aim":[65],"optimize":[67],"which":[71],"informative":[72,124],"voxels":[73,125],"interacting":[74],"each":[76],"other":[77],"are":[78],"selected,":[79],"achieving":[80],"high":[81],"accuracy":[83,161],"associated":[84],"cognitive":[86],"stimulus":[87],"conditions.":[88],"To":[89],"solve":[90],"problem,":[92],"we":[93,119],"propose":[94],"feature":[96,170],"interaction":[97],"detection":[98],"framework,":[99],"integrating":[100],"hierarchical":[101],"heterogeneous":[102],"particle":[103],"swarm":[104],"optimization":[105],"and":[106,126,177],"support":[107],"vector":[108],"machines,":[109],"for":[110,148],"voxel":[111],"selection":[112,171,176],"MVPA.":[114],"proposed":[117,144],"approach,":[118],"first":[120],"select":[121],"most":[123],"then":[127],"based":[132],"on":[133],"connectivity":[135],"selected":[138],"voxels.":[139],"The":[140,155],"effectiveness":[141],"was":[146],"examined":[147],"Haxby's":[150],"dataset":[151],"object-level":[153],"representations.":[154],"computational":[156],"results":[157],"demonstrated":[158],"higher":[159],"by":[162],"extracted":[164],"compared":[167],"state-of-the-art":[169],"algorithms,":[172],"such":[173],"forward":[175],"backward":[178],"selection.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}