{"id":"https://openalex.org/W7152473915","doi":"https://doi.org/10.1016/j.eswa.2026.132358","title":"CenterIR: An imbalance-aware deep regression framework for EEG-based depression severity estimation in older adults","display_name":"CenterIR: An imbalance-aware deep regression framework for EEG-based depression severity estimation in older adults","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7152473915","doi":"https://doi.org/10.1016/j.eswa.2026.132358"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2026.132358","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.132358","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.eswa.2026.132358","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133251908","display_name":"Nayun Kim","orcid":"https://orcid.org/0009-0002-4931-9621"},"institutions":[{"id":"https://openalex.org/I4210133166","display_name":"The Catholic University of Korea Bucheon St. Mary's Hospital","ror":"https://ror.org/0443jbw36","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210133166","https://openalex.org/I4405260414","https://openalex.org/I87111246"]},{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nayun Kim","raw_affiliation_strings":["Department of Data Science, The Catholic University of Korea, Bucheon, 14662, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-4931-9621","affiliations":[{"raw_affiliation_string":"Department of Data Science, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","institution_ids":["https://openalex.org/I87111246","https://openalex.org/I4210133166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102638385","display_name":"Yerim Huh","orcid":null},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yerim Huh","raw_affiliation_strings":["Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-3252-7147","affiliations":[{"raw_affiliation_string":"Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","institution_ids":["https://openalex.org/I87111246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130149491","display_name":"Jimin Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jimin Jung","raw_affiliation_strings":["Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-7731-0521","affiliations":[{"raw_affiliation_string":"Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","institution_ids":["https://openalex.org/I87111246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130112321","display_name":"Woohee Han","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woohee Han","raw_affiliation_strings":["High-Tech Medical Equipment Research Institute, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-9053-6580","affiliations":[{"raw_affiliation_string":"High-Tech Medical Equipment Research Institute, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133260641","display_name":"Hyunjin Kim","orcid":"https://orcid.org/0009-0004-8666-0946"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjin Kim","raw_affiliation_strings":["Department of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-8666-0946","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023279352","display_name":"Roneel V. Sharan","orcid":"https://orcid.org/0000-0003-1079-8709"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roneel V. Sharan","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1079-8709","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100776321","display_name":"Jungsoo Lee","orcid":"https://orcid.org/0000-0001-9439-0166"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jungsoo Lee","raw_affiliation_strings":["Department of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea","High-Tech Medical Equipment Research Institute, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9439-0166","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"High-Tech Medical Equipment Research Institute, Kumoh National Institute of Technology, Gumi, 39253, Republic of Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"last","author":{"id":null,"display_name":"Minji Lee","orcid":"https://orcid.org/0000-0003-4261-875X"},"institutions":[{"id":"https://openalex.org/I4210133166","display_name":"The Catholic University of Korea Bucheon St. Mary's Hospital","ror":"https://ror.org/0443jbw36","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210133166","https://openalex.org/I4405260414","https://openalex.org/I87111246"]},{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minji Lee","raw_affiliation_strings":["Department of Biomedical Software Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4261-875X","affiliations":[{"raw_affiliation_string":"Department of Biomedical Software Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","institution_ids":["https://openalex.org/I87111246","https://openalex.org/I4210133166"]},{"raw_affiliation_string":"Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Bucheon, 14662, Republic of Korea","institution_ids":["https://openalex.org/I87111246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100776321"],"corresponding_institution_ids":["https://openalex.org/I113409471","https://openalex.org/I4210133166","https://openalex.org/I87111246"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":{"value":3220,"currency":"USD","value_usd":3220},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78784846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"323","issue":null,"first_page":"132358","last_page":"132358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.6851999759674072,"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":0.6851999759674072,"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":0.18490000069141388,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.012600000016391277,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/estimation","display_name":"Estimation","score":0.6840999722480774},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.6256999969482422},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5454999804496765},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4862000048160553},{"id":"https://openalex.org/keywords/meta-regression","display_name":"Meta-regression","score":0.400299996137619}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6840999722480774},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6256999969482422},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5454999804496765},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4300999939441681},{"id":"https://openalex.org/C124936440","wikidata":"https://www.wikidata.org/wiki/Q6822263","display_name":"Meta-regression","level":3,"score":0.400299996137619},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34389999508857727},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2847000062465668},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2513999938964844},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2026.132358","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.132358","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.eswa.2026.132358","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.132358","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G285320364","display_name":null,"funder_award_id":"RS-2025-23963510","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G2981882154","display_name":null,"funder_award_id":"RS-2023-00208884","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1565600673","https://openalex.org/W1985514943","https://openalex.org/W2002960838","https://openalex.org/W2018010458","https://openalex.org/W2028736253","https://openalex.org/W2035197320","https://openalex.org/W2037557484","https://openalex.org/W2070757102","https://openalex.org/W2073073829","https://openalex.org/W2082612679","https://openalex.org/W2111451129","https://openalex.org/W2126719297","https://openalex.org/W2164499423","https://openalex.org/W2168745915","https://openalex.org/W2559463885","https://openalex.org/W2608089395","https://openalex.org/W2741907166","https://openalex.org/W2755221526","https://openalex.org/W3160392377","https://openalex.org/W4205622176","https://openalex.org/W4213048635","https://openalex.org/W4223474672","https://openalex.org/W4292402161","https://openalex.org/W4312597583","https://openalex.org/W4378715657","https://openalex.org/W4383503760","https://openalex.org/W4388240351","https://openalex.org/W4391804768","https://openalex.org/W4393234693","https://openalex.org/W4400111322","https://openalex.org/W4409327438","https://openalex.org/W4411118969","https://openalex.org/W4417465082"],"related_works":[],"abstract_inverted_index":{"\u2022":[0,10,21,29],"Propose":[1],"CenterIR,":[2],"a":[3,49,76,92,164],"cluster-aware":[4],"regularizer":[5],"for":[6,52,62,168,179,189],"imbalanced":[7,70,176],"EEG":[8,17,101,162],"regression":[9,60,98,177],"Enhance":[11],"depression":[12,54,169,181],"severity":[13,55,64],"estimation":[14],"from":[15,104],"resting-state":[16],"in":[18,56,135,143,152,183,192],"older":[19,57,106,184],"adults":[20,107,185],"Demonstrate":[22],"stable":[23],"performance":[24,151],"gains":[25],"over":[26],"state-of-the-art":[27,121],"baselines":[28],"Validate":[30],"robustness":[31],"through":[32],"\u03bb":[33],"-sensitivity":[34],"and":[35,85,111,120,131,137,140,186],"loss":[36,95],"ablation":[37],"analyses":[38],"Electroencephalography":[39],"(EEG)-based":[40],"mental":[41,193],"health":[42,194],"assessment":[43,182],"has":[44],"gained":[45],"increasing":[46],"attention":[47],"as":[48,163],"non-invasive":[50],"tool":[51],"quantifying":[53],"adults.":[58],"However,":[59],"models":[61],"continuous":[63],"prediction":[65],"remain":[66],"limited,":[67],"particularly":[68],"under":[69,108],"data":[71],"distributions.":[72],"This":[73],"study":[74],"presents":[75],"deep":[77],"learning":[78],"framework":[79,173],"that":[80],"integrates":[81],"convolutional":[82],"neural":[83,166],"networks":[84],"bidirectional":[86],"long":[87],"short-term":[88],"memory":[89],"modules":[90],"with":[91],"novel":[93],"CenterIR":[94],"to":[96],"enhance":[97],"performance.":[99],"Resting-state":[100],"was":[102],"recorded":[103],"104":[105],"eyes-open":[109],"(EO)":[110],"eyes-closed":[112],"(EC)":[113],"conditions.":[114],"The":[115],"proposed":[116],"model":[117],"outperformed":[118],"baseline":[119],"approaches,":[122],"achieving":[123],"an":[124],"MSE":[125],"of":[126,129,133,159],"0.151,":[127],"MAE":[128],"0.231,":[130],"R\u00b2":[132],"0.990":[134],"EO,":[136],"0.270,":[138],"0.291,":[139],"0.983,":[141],"respectively,":[142],"EC.":[144],"Paired":[145],"t-test":[146],"results":[147],"indicated":[148],"significantly":[149],"better":[150],"the":[153,157],"EO":[154,160],"condition,":[155],"highlighting":[156],"potential":[158],"resting":[161],"reliable":[165],"marker":[167],"severity.":[170],"Overall,":[171],"our":[172],"demonstrates":[174],"effective":[175],"modeling":[178],"EEG-based":[180],"provides":[187],"insights":[188],"clinical":[190],"application":[191],"monitoring.":[195]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-04-10T00:00:00"}
