{"id":"https://openalex.org/W7140200802","doi":"https://doi.org/10.1109/tce.2026.3677325","title":"Generative AI Enables Structural Brain Network Construction From fMRI via Symmetric Diffusion Learning","display_name":"Generative AI Enables Structural Brain Network Construction From fMRI via Symmetric Diffusion Learning","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140200802","doi":"https://doi.org/10.1109/tce.2026.3677325"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2026.3677325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3677325","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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":null,"display_name":"Qiankun Zuo","orcid":"https://orcid.org/0009-0002-8487-5762"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiankun Zuo","raw_affiliation_strings":["Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0002-8487-5762","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210099437"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bangjun Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangjun Lei","raw_affiliation_strings":["Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210099437"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wanyu Qiu","orcid":"https://orcid.org/0000-0002-6526-9815"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyu Qiu","raw_affiliation_strings":["Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-6526-9815","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Digital Finance Innovation, School of Information Engineering, and Hubei Internet Finance Information Engineering Technology Research Center, Hubei University of Economics, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210099437"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Changhong Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Changhong Jing","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Hong","orcid":"https://orcid.org/0000-0002-8757-2700"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Hong","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8757-2700","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shuqiang Wang","orcid":"https://orcid.org/0000-0003-1119-320X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1119-320X","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31867637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"2","first_page":"2890","last_page":"2901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.996999979019165,"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":0.996999979019165,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.0003000000142492354,"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/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.49959999322891235},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.4681999981403351},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.45899999141693115},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41260001063346863},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.40709999203681946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39089998602867126},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.3767000138759613},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.37470000982284546},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.366100013256073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152000069618225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942999720573425},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.45899999141693115},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38690000772476196},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3767000138759613},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37470000982284546},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2026.3677325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3677325","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.43956097960472107,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G6476011051","display_name":null,"funder_award_id":"XJZD202505","funder_id":"https://openalex.org/F4320322358","funder_display_name":"Kyoto University Education and Research Foundation"},{"id":"https://openalex.org/G6617143037","display_name":null,"funder_award_id":"62406107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8368969676","display_name":null,"funder_award_id":"20242BAB20070","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322358","display_name":"Kyoto University Education and Research Foundation","ror":"https://ror.org/02kpeqv85"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"the":[1,11,50,91,118,128,145,153,164,173,187,195,221,226,237],"complex":[2,154],"structural-functional":[3],"relationship":[4],"between":[5,55,157],"brain":[6,33,82,141,147,231,247,252],"regions":[7,232],"can":[8,30,151,198,224],"help":[9],"uncover":[10,152],"underlying":[12],"pathological":[13],"mechanisms":[14],"during":[15],"neurodegenerative":[16],"disease":[17],"development":[18],"and":[19,36,57,100,107,124,138,159,208,233,249],"progression.":[20],"Mapping":[21],"from":[22,81,114,204,236],"functional":[23,58],"connectivity":[24,28,203],"(FC)":[25],"to":[26,47,78,103,171,175,244],"structural":[27,161],"(SC)":[29],"facilitate":[31],"multimodal":[32,246],"network":[34],"fusion":[35],"discover":[37],"potential":[38],"biomarkers":[39],"for":[40,180],"clinical":[41,251],"implications.":[42],"However,":[43],"it":[44],"is":[45,76,169],"challenging":[46],"directly":[48],"bridge":[49],"reliable":[51],"non-linear":[52],"mapping":[53,155],"relations":[54,135,156],"SC":[56,80,109,183,213],"magnetic":[59],"resonance":[60],"imaging":[61,206],"(fMRI).":[62],"In":[63],"this":[64],"paper,":[65],"a":[66,85,111],"novel":[67],"symmetric":[68,106,129,160,182],"diffusive":[69],"generative":[70],"adversarial":[71,101],"network-based":[72],"fMRI-to-SC":[73],"(DiffGAN-F2S)":[74],"model":[75,197,223],"proposed":[77,92,196,222],"predict":[79],"fMRI":[83,158],"in":[84,212],"unified":[86],"framework.":[87],"To":[88],"be":[89],"specific,":[90],"DiffGAN-F2S":[93],"leverages":[94],"denoising":[95],"diffusion":[96],"probabilistic":[97],"models":[98,144],"(DDPMs)":[99],"learning":[102],"efficiently":[104],"generate":[105,200],"high-fidelity":[108],"through":[110],"few":[112],"steps":[113],"fMRI.":[115],"By":[116],"designing":[117],"dual-channel":[119],"multi-head":[120],"spatial":[121],"attention":[122],"(DMSA)":[123],"graph":[125,130],"convolutional":[126],"modules,":[127],"generator":[131,174],"first":[132],"captures":[133],"global":[134],"among":[136],"direct":[137],"indirect":[139],"connected":[140,166],"regions,":[142],"then":[143],"local":[146],"region":[148],"interactions.":[149],"It":[150],"connectivity.":[162],"Furthermore,":[163,220],"spatially":[165],"consistency":[167],"loss":[168],"devised":[170],"constrain":[172],"preserve":[176],"global-local":[177],"topological":[178],"information":[179],"accurate":[181],"prediction.":[184],"Testing":[185],"on":[186],"public":[188],"Alzheimer\u2019s":[189],"Disease":[190],"Neuroimaging":[191],"Initiative":[192],"(ADNI)":[193],"dataset,":[194],"effectively":[199],"empirical":[201,238],"SC-preserved":[202],"four-dimensional":[205],"data":[207],"shows":[209],"superior":[210],"performance":[211],"prediction":[214],"compared":[215],"with":[216],"other":[217],"related":[218],"models.":[219],"identify":[225],"vast":[227],"majority":[228],"of":[229],"important":[230],"connections":[234],"derived":[235],"method,":[239],"providing":[240],"an":[241],"alternative":[242],"way":[243],"fuse":[245],"networks":[248],"analyze":[250],"disease.":[253]},"counts_by_year":[],"updated_date":"2026-06-09T06:18:44.609144","created_date":"2026-03-25T00:00:00"}
