{"id":"https://openalex.org/W7162342121","doi":"https://doi.org/10.1186/s40708-026-00308-y","title":"Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification","display_name":"Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162342121","doi":"https://doi.org/10.1186/s40708-026-00308-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/42185690"},"language":"en","primary_location":{"id":"doi:10.1186/s40708-026-00308-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-026-00308-y","pdf_url":null,"source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Brain Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40708-026-00308-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136986596","display_name":"Jiacheng Zhang","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":false,"raw_author_name":"Jiacheng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136981827","display_name":"Haolan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haolan Zhang","raw_affiliation_strings":["Ningbo Tech University, Ningbo, 315104, China. haolan.zhang@nit.zju.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Tech University, Ningbo, 315104, China. haolan.zhang@nit.zju.edu.cn","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I159389169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057491706","display_name":"Youpeng Yang","orcid":"https://orcid.org/0000-0003-2248-8679"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youpeng Yang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5136981827"],"corresponding_institution_ids":["https://openalex.org/I109935558","https://openalex.org/I159389169"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69447886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.6292999982833862,"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":0.6292999982833862,"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/T11431","display_name":"Action Observation and Synchronization","score":0.06610000133514404,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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":0.06069999933242798,"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":0.7325999736785889},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.629800021648407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.545799970626831},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4975000023841858},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45339998602867126},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.3894999921321869}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7325999736785889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661899983882904},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.629800021648407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.545799970626831},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4975000023841858},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45339998602867126},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.3693999946117401},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.35440000891685486},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33079999685287476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.267300009727478}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40708-026-00308-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-026-00308-y","pdf_url":null,"source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Brain Informatics","raw_type":"journal-article"},{"id":"pmid:42185690","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42185690","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain informatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:c31e48f18a9f4143be1d5386cee61e75","is_oa":false,"landing_page_url":"https://doaj.org/article/c31e48f18a9f4143be1d5386cee61e75","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brain Informatics, Vol 13, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13280076","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13280076/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brain Inform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s40708-026-00308-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40708-026-00308-y","pdf_url":null,"source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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":"Brain Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1419932058","display_name":"\u57fa\u4e8e\u8111\u673a\u4ea4\u4e92\u4e0e\u6a21\u6001\u878d\u5408\u7684VR \u6b63\u5ff5\u8bad\u7ec3\u5728\u7126\u8651\u969c\u788d\u6570\u5b57\u5316\u6cbb\u7597\u7684\u7814\u7a76","funder_award_id":"LMS26F020033","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2053154970","https://openalex.org/W2120847449","https://openalex.org/W2132360759","https://openalex.org/W2152119085","https://openalex.org/W2158698691","https://openalex.org/W2167277498","https://openalex.org/W2183341477","https://openalex.org/W2183603928","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2766585573","https://openalex.org/W2922509574","https://openalex.org/W2944559085","https://openalex.org/W2944738074","https://openalex.org/W2971610554","https://openalex.org/W2986378528","https://openalex.org/W2990721662","https://openalex.org/W3005723318","https://openalex.org/W3022162717","https://openalex.org/W3040552008","https://openalex.org/W3047208690","https://openalex.org/W3080766837","https://openalex.org/W3092342532","https://openalex.org/W3096437212","https://openalex.org/W3131225866","https://openalex.org/W3167195439","https://openalex.org/W3168997536","https://openalex.org/W3195947465","https://openalex.org/W4200389064","https://openalex.org/W4205537960","https://openalex.org/W4206554586","https://openalex.org/W4206977145","https://openalex.org/W4210716699","https://openalex.org/W4225399147","https://openalex.org/W4255788608","https://openalex.org/W4283385049","https://openalex.org/W4285275037","https://openalex.org/W4312597583","https://openalex.org/W4318833227","https://openalex.org/W4360884927","https://openalex.org/W4361276743","https://openalex.org/W4363679399","https://openalex.org/W4377713351","https://openalex.org/W4383104943","https://openalex.org/W4399361585","https://openalex.org/W4402911693","https://openalex.org/W4403730731","https://openalex.org/W4413139603"],"related_works":[],"abstract_inverted_index":{"Cross-subject":[0],"motor":[1],"imagery":[2],"classification":[3],"remains":[4],"challenging":[5],"due":[6],"to":[7,34,75],"EEG":[8,38],"data":[9,22],"scarcity":[10],"and":[11,96],"inter-subject":[12],"variability.":[13],"This":[14,70],"study":[15],"proposes":[16],"a":[17,30,64],"novel":[18],"framework":[19,102],"integrating":[20],"generative":[21],"augmentation":[23],"with":[24,63],"domain":[25],"adaptation.":[26],"First,":[27],"we":[28,46],"employ":[29],"diffusion":[31],"probabilistic":[32],"model":[33,74],"generate":[35],"high-fidelity":[36],"synthetic":[37],"samples,":[39],"effectively":[40],"enriching":[41],"the":[42,48,73],"training":[43],"data.":[44],"Subsequently,":[45],"propose":[47],"AMSC-DANN":[49],"architecture,":[50],"which":[51],"synergizes":[52],"an":[53],"Adaptive":[54],"Multi-Scale":[55],"Convolution":[56],"(AMSC)":[57],"module":[58],"for":[59],"extracting":[60],"multi-granular":[61],"features":[62],"Domain":[65],"Adversarial":[66],"Neural":[67],"Network":[68],"(DANN).":[69],"combination":[71],"enables":[72],"learn":[76],"discriminative":[77],"temporal-spectral":[78],"representations":[79],"while":[80],"simultaneously":[81],"aligning":[82],"feature":[83],"distributions":[84],"across":[85],"different":[86],"subjects.":[87],"Extensive":[88],"experiments":[89],"on":[90],"BCI":[91],"Competition":[92],"IV":[93],"datasets":[94],"2a":[95],"2b":[97],"demonstrate":[98],"that":[99],"our":[100],"proposed":[101],"outperforms":[103],"state-of-the-art":[104],"baselines,":[105],"validating":[106],"its":[107],"effectiveness":[108],"in":[109],"enhancing":[110],"cross-subject":[111],"generalization.":[112]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2026-05-26T00:00:00"}