{"id":"https://openalex.org/W4405521251","doi":"https://doi.org/10.1109/taffc.2024.3515457","title":"Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals","display_name":"Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals","publication_year":2024,"publication_date":"2024-12-18","ids":{"openalex":"https://openalex.org/W4405521251","doi":"https://doi.org/10.1109/taffc.2024.3515457"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2024.3515457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3515457","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/A5100460806","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-5703-8574"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055864084","display_name":"Jinghui Yin","orcid":"https://orcid.org/0000-0002-3460-3833"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Yin","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-3460-3833","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siyuan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Gao","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763011","display_name":"Ju Liu","orcid":"https://orcid.org/0000-0003-3160-9233"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-3160-9233","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694041","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0002-6362-5169"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-6362-5169","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100460806"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.6207,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83907685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"1500","last_page":"1513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9686999917030334,"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":0.9686999917030334,"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":0.9222000241279602,"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/electroencephalography","display_name":"Electroencephalography","score":0.6581823825836182},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6212954521179199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5515305399894714},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5412478446960449},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4534495174884796},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44740229845046997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4326932430267334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37984174489974976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35092759132385254},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3158555030822754},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1207740306854248},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.11582514643669128}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6581823825836182},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6212954521179199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5515305399894714},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5412478446960449},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4534495174884796},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44740229845046997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4326932430267334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37984174489974976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35092759132385254},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3158555030822754},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1207740306854248},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.11582514643669128},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2024.3515457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3515457","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/G544695523","display_name":null,"funder_award_id":"ZR2021MF056","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1589606770","https://openalex.org/W1981658663","https://openalex.org/W1999656412","https://openalex.org/W2097171469","https://openalex.org/W2098659091","https://openalex.org/W2157877920","https://openalex.org/W2158468574","https://openalex.org/W2884131962","https://openalex.org/W2962905870","https://openalex.org/W2997217503","https://openalex.org/W3004599123","https://openalex.org/W3005405338","https://openalex.org/W3019783530","https://openalex.org/W3047208690","https://openalex.org/W3092775435","https://openalex.org/W3134204148","https://openalex.org/W3153880451","https://openalex.org/W3175162224","https://openalex.org/W3183340146","https://openalex.org/W3210714637","https://openalex.org/W4200117807","https://openalex.org/W4200380049","https://openalex.org/W4224247713","https://openalex.org/W4284887989","https://openalex.org/W4293812173","https://openalex.org/W4296079594","https://openalex.org/W4312891224","https://openalex.org/W4313065868","https://openalex.org/W4318604582","https://openalex.org/W4319990494","https://openalex.org/W4381154534","https://openalex.org/W4381785707","https://openalex.org/W4387955588","https://openalex.org/W4390969131","https://openalex.org/W4391723180","https://openalex.org/W4401751306"],"related_works":["https://openalex.org/W2978729728","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"has":[2],"been":[3,18,35],"widely":[4],"used":[5],"for":[6,24,43,72],"the":[7,38,85,91,117,121,131,138],"detection":[8,26,45,123],"of":[9,40,57,94,99,140],"major":[10],"depressive":[11],"disorder":[12],"(MDD).":[13],"Currently,":[14],"several":[15],"methods":[16,50],"have":[17,34,51],"proposed":[19,118,142],"to":[20,89,103,130],"process":[21],"EEG":[22,41,58],"signals":[23,59],"MDD":[25,44,73],"using":[27],"deep":[28],"learning":[29],"algorithms,":[30],"and":[31,48,110],"some":[32],"advantages":[33],"achieved.":[36],"However,":[37],"extraction":[39],"features":[42,56],"remains":[46],"challenging":[47],"most":[49],"difficulty":[52],"in":[53,84,125],"extracting":[54],"common":[55],"across":[60],"subjects.":[61],"We":[62],"propose":[63],"a":[64],"graph":[65],"domain":[66],"adaptation":[67],"with":[68],"global":[69,86,106],"message-passing":[70,87,107],"(GMP-GDA)":[71],"detection.":[74],"In":[75],"addition,":[76],"an":[77],"adjacency":[78,96],"matrix":[79],"weighting":[80],"algorithm":[81],"is":[82],"designed":[83],"module":[88],"learn":[90],"weight":[92],"combinations":[93],"different":[95],"matrices":[97,102],"instead":[98],"feature":[100],"transformation":[101],"achieve":[104],"cross-domain":[105],"between":[108],"multi-source":[109],"target":[111],"domains.":[112],"Experimental":[113],"results":[114],"demonstrate":[115,137],"that":[116],"method":[119],"achieves":[120],"superior":[122],"result":[124],"each":[126],"frequency":[127],"band":[128],"compared":[129],"baseline":[132],"systems.":[133],"Meanwhile,":[134],"ablation":[135],"experiments":[136],"effectiveness":[139],"our":[141],"method.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
