{"id":"https://openalex.org/W3042414979","doi":"https://doi.org/10.1109/taffc.2020.3006847","title":"Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition","display_name":"Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3042414979","doi":"https://doi.org/10.1109/taffc.2020.3006847","mag":"3042414979"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2020.3006847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2020.3006847","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","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/A5100330269","display_name":"Hailing Wang","orcid":"https://orcid.org/0000-0001-9063-4151"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hailing Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007297993","display_name":"Xia Wu","orcid":"https://orcid.org/0000-0002-2377-6093"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Wu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101594589","display_name":"Li Yao","orcid":"https://orcid.org/0000-0001-7730-7850"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yao","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China","Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology and Educational Application, Ministry of Education, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100330269"],"corresponding_institution_ids":["https://openalex.org/I141962983","https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":2.231,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.88216371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"3","first_page":"1489","last_page":"1500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.9126830101013184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6033132076263428},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5783207416534424},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.559559166431427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5220296382904053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519275426864624},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49759653210639954},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.454990029335022},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.4123757779598236},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3346177041530609},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19959759712219238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12388861179351807}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.9126830101013184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6033132076263428},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5783207416534424},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.559559166431427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5220296382904053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519275426864624},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49759653210639954},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.454990029335022},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.4123757779598236},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3346177041530609},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19959759712219238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12388861179351807},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2020.3006847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2020.3006847","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8418863251","display_name":null,"funder_award_id":"61876021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W245658","https://openalex.org/W1536620489","https://openalex.org/W1680137270","https://openalex.org/W1680487667","https://openalex.org/W1711809997","https://openalex.org/W1765315678","https://openalex.org/W1947251450","https://openalex.org/W1986131336","https://openalex.org/W1986971727","https://openalex.org/W1998633235","https://openalex.org/W2000535340","https://openalex.org/W2002055708","https://openalex.org/W2011044564","https://openalex.org/W2015425485","https://openalex.org/W2019664625","https://openalex.org/W2022182088","https://openalex.org/W2031990580","https://openalex.org/W2050618347","https://openalex.org/W2065919982","https://openalex.org/W2078560091","https://openalex.org/W2103214655","https://openalex.org/W2103986045","https://openalex.org/W2106559434","https://openalex.org/W2107696655","https://openalex.org/W2113125277","https://openalex.org/W2119185655","https://openalex.org/W2121726344","https://openalex.org/W2126767504","https://openalex.org/W2129437222","https://openalex.org/W2134602648","https://openalex.org/W2137680378","https://openalex.org/W2144495104","https://openalex.org/W2151786648","https://openalex.org/W2169812046","https://openalex.org/W2170151899","https://openalex.org/W2170883741","https://openalex.org/W2406459797","https://openalex.org/W2470117147","https://openalex.org/W2509890485","https://openalex.org/W2516463603","https://openalex.org/W2537775406","https://openalex.org/W2580887161","https://openalex.org/W2598673810","https://openalex.org/W2610184357","https://openalex.org/W2613290519","https://openalex.org/W2625929003","https://openalex.org/W2735115488","https://openalex.org/W2765856398","https://openalex.org/W2782980952","https://openalex.org/W2785979835","https://openalex.org/W2790223863","https://openalex.org/W2790994475","https://openalex.org/W2791956913","https://openalex.org/W2798673040","https://openalex.org/W2799657112","https://openalex.org/W2806123556","https://openalex.org/W2898161677","https://openalex.org/W2898391979","https://openalex.org/W2913846632","https://openalex.org/W2917311963","https://openalex.org/W2949395868","https://openalex.org/W2950977886","https://openalex.org/W2962905870","https://openalex.org/W6600012500","https://openalex.org/W6685042627"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2150410159","https://openalex.org/W2466887110","https://openalex.org/W2068485906","https://openalex.org/W4389933916","https://openalex.org/W2314032432","https://openalex.org/W2335893660"],"abstract_inverted_index":{"In":[0,67],"this":[1],"article,":[2],"we":[3],"investigate":[4,106],"brain":[5,65],"directed":[6],"connectivity":[7],"(BDC)":[8],"networks":[9],"for":[10,26,42,90,195],"emotion":[11,43,91,107,196],"recognition":[12,92,136,168],"using":[13,101],"electroencephalogram":[14],"(EEG)":[15],"source":[16,78,103,184],"signals":[17,39,79,104,164,185],"that":[18,127,178],"were":[19],"estimated":[20,80],"from":[21,36,81,150,161,182],"high-density":[22,82,162],"sensor":[23,37,74,83,158],"EEG":[24,38,75,84,102,163,173,183],"signals,":[25],"the":[27,50,62,128,147],"first":[28],"time.":[29],"Currently,":[30],"a":[31,97,135],"variety":[32],"of":[33,52,138],"features":[34,133,152,155,159,180],"extracted":[35],"are":[40,193],"used":[41],"recognition.":[44,108,197],"However,":[45],"they":[46],"cannot":[47],"unambiguously":[48],"describe":[49],"location":[51],"emotions":[53],"associated":[54],"with":[55],"neural":[56],"activities":[57],"and":[58,131,153,192],"information":[59],"propagation":[60],"or":[61],"interaction":[63],"between":[64],"regions.":[66],"addition,":[68],"most":[69],"current":[70],"studies":[71],"use":[72],"low-density":[73,172],"signals.":[76,174],"Moreover,":[77],"signal":[85],"have":[86],"not":[87],"been":[88],"employed":[89],"to":[93,105,119,140,171],"date.":[94],"We":[95],"designed":[96],"BDC":[98,122,130,151,179],"network-based":[99],"framework":[100],"The":[109,157],"global":[110],"cortex":[111],"factor-based":[112],"multivariate":[113],"autoregressive":[114],"(GCF-MVAR)":[115],"method":[116],"was":[117],"utilized":[118],"extract":[120],"emotion-related":[121],"features.":[123],"Our":[124],"study":[125],"revealed":[126],"combined":[129],"DE":[132,154],"facilitated":[134],"accuracy":[137,169],"up":[139],"89.58":[141],"percent,":[142],"which":[143],"is":[144],"higher":[145,167],"than":[146],"rate":[148],"obtained":[149],"alone.":[156],"derived":[160,181],"also":[165],"exhibited":[166],"compared":[170],"These":[175],"findings":[176],"suggest":[177],"can":[186],"better":[187],"characterize":[188],"human":[189],"emotional":[190],"states":[191],"meaningful":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
