{"id":"https://openalex.org/W3163678505","doi":"https://doi.org/10.1109/icassp39728.2021.9413958","title":"Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data","display_name":"Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163678505","doi":"https://doi.org/10.1109/icassp39728.2021.9413958","mag":"3163678505"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":null,"display_name":"Yue Han","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Han","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047452802","display_name":"Qiu\u2010Hua Lin","orcid":"https://orcid.org/0000-0003-0145-7136"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu-Hua Lin","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039127797","display_name":"Li\u2010Dan Kuang","orcid":"https://orcid.org/0000-0002-0704-8950"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Dan Kuang","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049975167","display_name":"Xiao\u2010Feng Gong","orcid":"https://orcid.org/0000-0001-8360-8107"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Feng Gong","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042937962","display_name":"Fengyu Cong","orcid":"https://orcid.org/0000-0003-0058-2429"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Fengyu Cong","raw_affiliation_strings":["Faculty of Information Technology, University of Jyvaskyla, Finland","School of Biomedical Engineering, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyvaskyla, Finland","institution_ids":["https://openalex.org/I94722563"]},{"raw_affiliation_string":"School of Biomedical Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"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"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]},{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1110","last_page":"1114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.996399998664856,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9531999826431274,"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/tucker-decomposition","display_name":"Tucker decomposition","score":0.7866231203079224},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.7521284818649292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6772674322128296},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5747877955436707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5221834182739258},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5139994025230408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49509182572364807},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.48535075783729553},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.46653488278388977},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.43927326798439026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4174261689186096},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.3053215742111206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2088845670223236},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15691140294075012},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07097688317298889}],"concepts":[{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.7866231203079224},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.7521284818649292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772674322128296},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5747877955436707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5221834182739258},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5139994025230408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49509182572364807},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.48535075783729553},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.46653488278388977},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.43927326798439026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4174261689186096},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.3053215742111206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2088845670223236},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15691140294075012},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07097688317298889},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321630","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1985327120","https://openalex.org/W2008972618","https://openalex.org/W2014466433","https://openalex.org/W2024165284","https://openalex.org/W2055457718","https://openalex.org/W2055637322","https://openalex.org/W2079450984","https://openalex.org/W2091177453","https://openalex.org/W2095141632","https://openalex.org/W2119412403","https://openalex.org/W2124242779","https://openalex.org/W2158821123","https://openalex.org/W2404599750","https://openalex.org/W2469230926","https://openalex.org/W2577015358","https://openalex.org/W2635878342","https://openalex.org/W2792061312","https://openalex.org/W2803032553","https://openalex.org/W2847843809","https://openalex.org/W2904276811","https://openalex.org/W2969480173","https://openalex.org/W3139939952"],"related_works":["https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W4232465970","https://openalex.org/W4244025530","https://openalex.org/W4233336045","https://openalex.org/W2283746446","https://openalex.org/W3145575137","https://openalex.org/W4252587867"],"abstract_inverted_index":{"Tucker":[0],"decomposition":[1,47,53],"(TKD)":[2],"has":[3],"been":[4],"utilized":[5],"to":[6,26,63,91],"identify":[7],"functional":[8],"connectivity":[9],"patterns":[10],"using":[11,84],"processed":[12],"fMRI":[13,21,29,87],"data,":[14],"but":[15],"seldom":[16],"focuses":[17],"on":[18],"originally":[19],"acquired":[20],"data.":[22],"This":[23],"study":[24],"proposes":[25],"decompose":[27],"multi-subject":[28,85],"data":[30,88],"in":[31,75,138,145],"a":[32,146],"natural":[33],"three-way":[34],"of":[35,136],"voxel":[36],"\u00d7":[37,39],"time":[38],"subject":[40],"via":[41],"TKD.":[42],"Different":[43],"from":[44],"existing":[45],"tensor":[46],"algorithms":[48],"such":[49],"as":[50],"canonical":[51],"polyadic":[52],"(CPD)":[54],"for":[55,93,102],"extracting":[56],"shared":[57,66,95,122],"spatial":[58],"maps":[59],"(SMs),":[60],"we":[61],"propose":[62],"extract":[64],"both":[65],"and":[67,97,119,126,141],"individual":[68,104,129,142],"SMs":[69,96,105,123,130],"by":[70],"exploring":[71],"spatial-temporal-subject":[72],"relationship":[73],"contained":[74],"the":[76,81,114,134],"core":[77],"tensor.":[78],"We":[79],"test":[80],"proposed":[82,115],"method":[83,116],"resting-state":[86],"with":[89],"comparison":[90],"CPD":[92,125],"evaluating":[94],"independent":[98],"vector":[99],"analysis":[100],"(IVA)":[101],"assessing":[103],"under":[106],"different":[107],"model":[108],"orders.":[109],"The":[110],"results":[111],"show":[112],"that":[113],"yields":[117],"better":[118],"more":[120,127],"robust":[121],"than":[124,131],"consistent":[128],"IVA,":[132],"indicating":[133],"potential":[135],"TKD":[137],"providing":[139],"group":[140],"brain":[143],"networks":[144],"high-dimensional":[147],"coupling":[148],"way.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}