{"id":"https://openalex.org/W4388667135","doi":"https://doi.org/10.1109/bhi58575.2023.10313480","title":"Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis","display_name":"Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4388667135","doi":"https://doi.org/10.1109/bhi58575.2023.10313480"},"language":"en","primary_location":{"id":"doi:10.1109/bhi58575.2023.10313480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi58575.2023.10313480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5020981458","display_name":"Xuan Kan","orcid":"https://orcid.org/0000-0003-0039-8314"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Kan","raw_affiliation_strings":["Emory University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046858414","display_name":"Antonio Aodong Chen Gu","orcid":"https://orcid.org/0000-0002-9525-9263"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Aodong Chen Gu","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033157677","display_name":"Hejie Cui","orcid":"https://orcid.org/0000-0001-6388-2619"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hejie Cui","raw_affiliation_strings":["Emory University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018964484","display_name":"Ying Guo","orcid":"https://orcid.org/0000-0003-3934-3097"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Guo","raw_affiliation_strings":["Emory University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1633,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.97674083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9979000091552734,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7018332481384277},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.651951253414154},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5516039133071899},{"id":"https://openalex.org/keywords/brain-function","display_name":"Brain function","score":0.5354177355766296},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5271498560905457},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44661352038383484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42893779277801514},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4201880693435669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3547264337539673},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15364491939544678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018332481384277},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.651951253414154},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5516039133071899},{"id":"https://openalex.org/C3018390542","wikidata":"https://www.wikidata.org/wiki/Q1073","display_name":"Brain function","level":2,"score":0.5354177355766296},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5271498560905457},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44661352038383484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42893779277801514},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4201880693435669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547264337539673},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15364491939544678},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi58575.2023.10313480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi58575.2023.10313480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","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":25,"referenced_works":["https://openalex.org/W1983208069","https://openalex.org/W1999653836","https://openalex.org/W2006931708","https://openalex.org/W2054924908","https://openalex.org/W2069088601","https://openalex.org/W2089572795","https://openalex.org/W2138905229","https://openalex.org/W2526511911","https://openalex.org/W2789530810","https://openalex.org/W3089503988","https://openalex.org/W3164032838","https://openalex.org/W3178444448","https://openalex.org/W3199008037","https://openalex.org/W4281749642","https://openalex.org/W4296217498","https://openalex.org/W4306295096","https://openalex.org/W4307847583","https://openalex.org/W4313639953","https://openalex.org/W4385245566","https://openalex.org/W4386350565","https://openalex.org/W6739901393","https://openalex.org/W6795171876","https://openalex.org/W6810053718","https://openalex.org/W6838252289","https://openalex.org/W6846041338"],"related_works":["https://openalex.org/W2327340211","https://openalex.org/W2027542625","https://openalex.org/W4292199793","https://openalex.org/W2282195379","https://openalex.org/W2089784006","https://openalex.org/W2295388821","https://openalex.org/W2102312026","https://openalex.org/W3017668461","https://openalex.org/W3019331469","https://openalex.org/W4234268533"],"abstract_inverted_index":{"Recent":[0],"neuroimaging":[1,184],"studies":[2,60],"have":[3,61],"highlighted":[4],"the":[5,40,53,104,131,145,188,195],"importance":[6],"of":[7,19,55,149,191,197],"network-centric":[8],"brain":[9,37,45,56,66,91,98,106,113,133,166,192],"analysis,":[10],"particularly":[11],"with":[12],"functional":[13],"magnetic":[14],"resonance":[15],"imaging.":[16],"The":[17,137],"emergence":[18],"Deep":[20],"Neural":[21],"Networks":[22],"has":[23],"fostered":[24],"a":[25,79,109,141,152,180],"substantial":[26,74],"interest":[27],"in":[28,51,155,183],"predicting":[29],"clinical":[30],"outcomes":[31],"and":[32,71,89,96,129,194],"categorizing":[33],"individuals":[34],"based":[35],"on":[36],"networks.":[38],"However,":[39],"conventional":[41],"approach":[42,139],"involving":[43],"static":[44,88,105],"network":[46,107],"analysis":[47],"offers":[48,140],"limited":[49],"potential":[50],"capturing":[52],"dynamism":[54],"function.":[57],"Although":[58],"recent":[59],"attempted":[62],"to":[63,115,144,173,187],"harness":[64],"dynamic":[65,90,112,132,169],"networks,":[67],"their":[68],"high":[69],"dimensionality":[70],"complexity":[72],"present":[73],"challenges.":[75],"This":[76],"paper":[77],"proposes":[78],"novel":[80],"methodology,":[81],"Dynamic":[82],"bRAin":[83],"Transformer":[84],"(DART),":[85],"which":[86,165],"combines":[87],"networks":[92,114,170],"for":[93],"more":[94,172],"effective":[95],"nuanced":[97],"function":[99],"analysis.":[100],"Our":[101],"model":[102,127],"uses":[103],"as":[108],"baseline,":[110],"integrating":[111],"enhance":[116],"performance":[117],"against":[118],"traditional":[119],"methods.":[120],"We":[121],"innovatively":[122],"employ":[123],"attention":[124],"mechanisms,":[125],"enhancing":[126],"explainability":[128],"exploiting":[130],"network\u2019s":[134],"temporal":[135],"variations.":[136],"proposed":[138],"robust":[142],"solution":[143],"low":[146],"signal-to-noise":[147],"ratio":[148],"blood-oxygen-level-dependent":[150],"signals,":[151],"recurring":[153],"issue":[154],"direct":[156],"DNN":[157],"modeling.":[158],"It":[159],"also":[160],"provides":[161],"valuable":[162],"insights":[163],"into":[164],"circuits":[167],"or":[168],"contribute":[171],"final":[174],"predictions.":[175],"As":[176],"such,":[177],"DRAT":[178],"shows":[179],"promising":[181],"direction":[182],"studies,":[185],"contributing":[186],"comprehensive":[189],"understanding":[190],"organization":[193],"role":[196],"neural":[198],"circuits.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
