{"id":"https://openalex.org/W1993319964","doi":"https://doi.org/10.1109/isbi.2013.6556666","title":"Functional brain interactions during free viewing of video stream","display_name":"Functional brain interactions during free viewing of video stream","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1993319964","doi":"https://doi.org/10.1109/isbi.2013.6556666","mag":"1993319964"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5030799310","display_name":"Xintao Hu","orcid":"https://orcid.org/0000-0001-5633-3806"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintao Hu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnic University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnic University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665425","display_name":"Tuo Zhang","orcid":"https://orcid.org/0000-0002-6075-3384"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tuo Zhang","raw_affiliation_strings":["Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, USA","School of Automation, Northwestern Polytechnic University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnic University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["School of Automation, Northwestern Polytechnic University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnic University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344286","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-0728-896X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Guo","raw_affiliation_strings":["School of Automation, Northwestern Polytechnic University, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnic University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647156","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0002-8132-9048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, University of Georgia, USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9988999962806702,"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":0.9847999811172485,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7577332258224487},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7186914086341858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297190189361572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6148719787597656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5447415709495544},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.49139514565467834},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4545953571796417},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4300973415374756},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.41572630405426025},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4118480682373047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34881842136383057},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2420257329940796},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.23281091451644897},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21562853455543518}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7577332258224487},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7186914086341858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297190189361572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148719787597656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5447415709495544},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.49139514565467834},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4545953571796417},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4300973415374756},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.41572630405426025},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4118480682373047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34881842136383057},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2420257329940796},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.23281091451644897},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21562853455543518},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1583700199","https://openalex.org/W1933931696","https://openalex.org/W1969533226","https://openalex.org/W1970314411","https://openalex.org/W1972853750","https://openalex.org/W2003779589","https://openalex.org/W2007226897","https://openalex.org/W2021768951","https://openalex.org/W2032189966","https://openalex.org/W2041346309","https://openalex.org/W2042568524","https://openalex.org/W2078750579","https://openalex.org/W2117663940","https://openalex.org/W2142337462","https://openalex.org/W2142432333","https://openalex.org/W2144714250","https://openalex.org/W2154053567","https://openalex.org/W2154054253","https://openalex.org/W2167017100","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2136472875"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"data-driven":[6],"approach":[7],"to":[8,59,105],"explore":[9],"consistent":[10],"and":[11,63,78,100,109,132],"discriminative":[12],"functional":[13,27,33,83,114,124],"interactions":[14,77],"during":[15,42],"free":[16],"viewing":[17],"of":[18,39,70,81,111,126,134],"video":[19,56,101],"stream.":[20],"The":[21,67],"underlying":[22],"premise":[23],"is":[24,103],"that":[25],"the":[26,71,75,79,82,87,107,112,123,127],"interactions,":[28,115],"derived":[29,94],"from":[30,95],"natural":[31,136],"stimulus":[32],"magnetic":[34],"resonance":[35],"imaging":[36,98],"(N-fMRI)":[37],"data":[38],"multiple":[40,51],"subjects":[41],"watching":[43],"videos":[44],"in":[45,55,74,130],"multi-categories,":[46],"are":[47,89],"simultaneously":[48],"selected":[49],"by":[50],"feature":[52],"selection":[53],"methods":[54],"classification":[57,102],"tasks":[58],"pose":[60],"both":[61],"discriminability":[62,110],"consistency":[64,108],"across":[65],"subjects.":[66],"spatial":[68],"distribution":[69,80],"ROIs":[72,88],"involved":[73],"identified":[76,113],"subnetworks":[84],"associated":[85],"with":[86],"assessed.":[90],"Meanwhile,":[91],"structural":[92],"connectivity":[93],"diffusion":[96],"tensor":[97],"(DTI)":[99],"used":[104],"evaluate":[106],"respectively.":[116],"Our":[117],"findings":[118],"provide":[119],"new":[120],"insights":[121],"into":[122],"mechanism":[125],"human":[128],"brain":[129],"perception":[131],"cognition":[133],"complex":[135],"scenes.":[137]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}