{"id":"https://openalex.org/W7154499387","doi":"https://doi.org/10.48550/arxiv.2604.12683","title":"Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining","display_name":"Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining","publication_year":2026,"publication_date":"2026-04-14","ids":{"openalex":"https://openalex.org/W7154499387","doi":"https://doi.org/10.48550/arxiv.2604.12683"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.12683","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12683","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.12683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133629716","display_name":"Junfeng Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Junfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133695549","display_name":"Wenhao Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Wenhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083779328","display_name":"Xuanye Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Xuanye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038486986","display_name":"Xinke Shen","orcid":"https://orcid.org/0000-0001-8531-5033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xinke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133721258","display_name":"Mo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Mo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133702330","display_name":"Quanying Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Quanying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.8378999829292297,"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":0.8378999829292297,"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/T11094","display_name":"Face Recognition and Perception","score":0.029200000688433647,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.02370000071823597,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/foundation","display_name":"Foundation (evidence)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43860000371932983},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.35019999742507935},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.32739999890327454},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.3271999955177307},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.32109999656677246},{"id":"https://openalex.org/keywords/brain-mapping","display_name":"Brain mapping","score":0.30889999866485596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47450000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514000117778778},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43860000371932983},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4341000020503998},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.41609999537467957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C2781195155","wikidata":"https://www.wikidata.org/wiki/Q18680","display_name":"Prefrontal cortex","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.12683","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12683","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.12683","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12683","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"fMRI":[1,34,54],"foundation":[2,35,55],"models":[3,56],"primarily":[4],"rely":[5,58],"on":[6,38,59,101,162],"a":[7,31,67,76,114],"limited":[8],"range":[9],"of":[10,169],"brain":[11,26],"states":[12],"and":[13,49,93,99,167],"mismatched":[14],"pretraining":[15,74,112,123],"tasks,":[16,104],"restricting":[17],"their":[18],"ability":[19],"to":[20,83],"learn":[21,84],"generalized":[22],"representations":[23,86],"across":[24],"diverse":[25],"states.":[27,51],"We":[28,136],"present":[29],"\\textit{Brain-DiT},":[30],"universal":[32],"multi-state":[33],"model":[36,82],"pretrained":[37],"349,898":[39],"sessions":[40],"from":[41,133,152],"24":[42],"datasets":[43],"spanning":[44],"resting,":[45],"task,":[46],"naturalistic,":[47],"disease,":[48],"sleep":[50],"Unlike":[52],"prior":[53],"that":[57,87,109,139],"masked":[60],"reconstruction":[61,118],"in":[62],"the":[63,81],"raw-signal":[64],"space":[65],"or":[66,119],"latent":[68],"space,":[69],"\\textit{Brain-DiT}":[70],"adopts":[71],"metadata-conditioned":[72,122],"diffusion":[73],"with":[75,121],"Diffusion":[77],"Transformer":[78],"(DiT),":[79],"enabling":[80],"multi-scale":[85],"capture":[88],"both":[89],"fine-grained":[90,163],"functional":[91],"structure":[92],"global":[94,153],"semantics.":[95],"Across":[96],"extensive":[97],"evaluations":[98],"ablations":[100],"7":[102],"downstream":[103,126,140],"we":[105],"find":[106],"consistent":[107],"evidence":[108],"diffusion-based":[110],"generative":[111],"is":[113],"stronger":[115],"proxy":[116],"than":[117],"alignment,":[120],"further":[124],"improving":[125],"performance":[127],"by":[128],"disentangling":[129],"intrinsic":[130],"neural":[131],"dynamics":[132],"population-level":[134],"variability.":[135],"also":[137],"observe":[138],"tasks":[141],"exhibit":[142],"distinct":[143],"preferences":[144],"for":[145],"representational":[146],"scale:":[147],"ADNI":[148],"classification":[149],"benefits":[150],"more":[151,161],"semantic":[154],"representations,":[155],"whereas":[156],"age/sex":[157],"prediction":[158],"comparatively":[159],"relies":[160],"local":[164],"structure.":[165],"Code":[166],"parameters":[168],"Brain-DiT":[170],"are":[171],"available":[172],"at":[173],"\\href{https://github.com/REDMAO4869/Brain-DiT}{Link}.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-16T00:00:00"}