{"id":"https://openalex.org/W4416251062","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228965","title":"ST-LCNet: A Dual-Stream Transformer for Interpretable EEG-Based Anxiety Diagnosis","display_name":"ST-LCNet: A Dual-Stream Transformer for Interpretable EEG-Based Anxiety Diagnosis","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251062","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228965"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5100827763","display_name":"Ling Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Yan","raw_affiliation_strings":["Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611833","display_name":"Junhao Chen","orcid":"https://orcid.org/0000-0001-9577-1710"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Chen","raw_affiliation_strings":["Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063839008","display_name":"Kun\u2010Ching Shen","orcid":"https://orcid.org/0000-0001-7751-7399"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaichen Shen","raw_affiliation_strings":["Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064283215","display_name":"Ruiji Xu","orcid":"https://orcid.org/0009-0007-9270-3780"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiji Xu","raw_affiliation_strings":["Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062098757","display_name":"Keji Mao","orcid":"https://orcid.org/0000-0002-5021-378X"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keji Mao","raw_affiliation_strings":["Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,School of Comp. Sci. and Tech.,Hangzhou,China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100827763"],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36182803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.817300021648407,"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":0.817300021648407,"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":0.0722000002861023,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.04529999941587448,"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/interpretability","display_name":"Interpretability","score":0.9247000217437744},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.583299994468689},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5773000121116638},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5238000154495239},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.520799994468689},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4936999976634979}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9247000217437744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294000148773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101999878883362},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.583299994468689},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4528000056743622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44909998774528503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.426800012588501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31779998540878296},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2703000009059906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W3158824420","https://openalex.org/W4294630985","https://openalex.org/W4298001876","https://openalex.org/W4313531753","https://openalex.org/W4319348722","https://openalex.org/W4362735757","https://openalex.org/W4364302091","https://openalex.org/W4381785857","https://openalex.org/W4384080511","https://openalex.org/W4385338410","https://openalex.org/W4385453220","https://openalex.org/W4386362743","https://openalex.org/W4386973857","https://openalex.org/W4388691679","https://openalex.org/W4390638923","https://openalex.org/W4391228904","https://openalex.org/W4391955159","https://openalex.org/W4391992478","https://openalex.org/W4394589847","https://openalex.org/W4394614865","https://openalex.org/W4397002967","https://openalex.org/W4402026339","https://openalex.org/W4403042732","https://openalex.org/W4403144682","https://openalex.org/W4404251017","https://openalex.org/W4406429357"],"related_works":[],"abstract_inverted_index":{"Anxiety":[0],"disorder":[1,135],"is":[2,11],"a":[3,21,35,73,91,96,128,146],"common":[4],"mental":[5],"health":[6],"condition,":[7],"and":[8,16,51,109,112,152,168],"accurate":[9],"diagnosis":[10,41,157],"crucial":[12],"for":[13,38,56,155],"patient":[14],"treatment":[15],"prognosis.":[17],"Electroencephalography":[18],"(EEG),":[19],"as":[20],"non-invasive":[22],"neurophysiological":[23],"diagnostic":[24],"tool,":[25],"directly":[26],"reflects":[27],"the":[28,32,39,87,102,107,159],"functional":[29],"state":[30],"of":[31,42,131,161],"brain,":[33],"offering":[34],"promising":[36],"approach":[37],"objective":[40],"anxiety":[43,134],"disorder.":[44],"However,":[45],"EEG":[46],"signals":[47],"exhibit":[48],"high-dimensionality,":[49],"nonlinearity,":[50],"non-stationarity,":[52],"making":[53],"it":[54],"challenging":[55],"traditional":[57],"methods":[58],"to":[59,100,118],"effectively":[60],"capture":[61,119],"their":[62],"complex":[63],"spatiotemporal":[64,75],"patterns.":[65],"To":[66],"address":[67],"this":[68,70,142],"issue,":[69],"paper":[71],"proposes":[72],"novel":[74],"feature":[76,115],"extraction":[77,116],"network,":[78],"ST-LCNet":[79,126],"(Sparse-channel":[80],"Temporal":[81],"Transformer":[82,98],"Network).":[83],"The":[84],"network":[85],"optimizes":[86],"input":[88],"features":[89],"using":[90],"spatio-spectral":[92],"attention":[93,162],"mechanism,":[94],"adopts":[95],"dual-stream":[97],"architecture":[99],"model":[101],"global":[103],"dependencies":[104],"in":[105,133],"both":[106],"temporal":[108],"spatial":[110],"dimensions,":[111],"integrates":[113],"local":[114],"modules":[117],"multi-scale":[120],"features.":[121],"Experimental":[122],"results":[123],"show":[124],"that":[125],"achieves":[127],"classification":[129],"accuracy":[130],"97.07%":[132],"diagnosis,":[136],"significantly":[137],"outperforming":[138],"existing":[139],"methods.":[140],"Furthermore,":[141],"study":[143],"also":[144],"constructs":[145],"multilevel":[147],"interpretability":[148],"framework,":[149],"providing":[150],"intuitive":[151],"reliable":[153],"reference":[154],"clinical":[156],"through":[158],"visualization":[160],"distributions":[163],"across":[164],"key":[165],"brain":[166],"regions":[167],"frequency":[169],"bands.":[170]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
