{"id":"https://openalex.org/W4399527368","doi":"https://doi.org/10.1109/tmi.2024.3412399","title":"Constructing High-Order Functional Connectivity Networks With Temporal Information From fMRI Data","display_name":"Constructing High-Order Functional Connectivity Networks With Temporal Information From fMRI Data","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4399527368","doi":"https://doi.org/10.1109/tmi.2024.3412399","pmid":"https://pubmed.ncbi.nlm.nih.gov/38861435"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3412399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3412399","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5016645667","display_name":"Yingzhi Teng","orcid":"https://orcid.org/0000-0002-3144-7062"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingzhi Teng","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037706636","display_name":"Kai Wu","orcid":"https://orcid.org/0000-0002-1852-6364"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","Xidian University, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038566561","display_name":"Yifan Li","orcid":"https://orcid.org/0000-0003-4836-8421"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Li","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042065643","display_name":"Xiangyi Teng","orcid":"https://orcid.org/0000-0001-5964-0123"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyi Teng","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016645667"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.3209,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92327658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"43","issue":"12","first_page":"4133","last_page":"4145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9936000108718872,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471719741821289},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.574781060218811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329433679580688},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5053220391273499},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4835664927959442},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4208938479423523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39124763011932373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33365947008132935},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22693032026290894},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13667917251586914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471719741821289},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.574781060218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329433679580688},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5053220391273499},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4835664927959442},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4208938479423523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39124763011932373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33365947008132935},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22693032026290894},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13667917251586914},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3412399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3412399","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38861435","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38861435","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8057161717","display_name":null,"funder_award_id":"62206205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1448960299","https://openalex.org/W1587740805","https://openalex.org/W1938122124","https://openalex.org/W1966782946","https://openalex.org/W1995605620","https://openalex.org/W2005821483","https://openalex.org/W2031250362","https://openalex.org/W2040412343","https://openalex.org/W2058046532","https://openalex.org/W2060525409","https://openalex.org/W2067808181","https://openalex.org/W2084413241","https://openalex.org/W2095224843","https://openalex.org/W2108119513","https://openalex.org/W2111902267","https://openalex.org/W2131729872","https://openalex.org/W2138228305","https://openalex.org/W2155513557","https://openalex.org/W2156718197","https://openalex.org/W2167822639","https://openalex.org/W2170057991","https://openalex.org/W2304527985","https://openalex.org/W2337323496","https://openalex.org/W2473821704","https://openalex.org/W2520865593","https://openalex.org/W2528515646","https://openalex.org/W2529327711","https://openalex.org/W2799795916","https://openalex.org/W2807592573","https://openalex.org/W2899971763","https://openalex.org/W2901480059","https://openalex.org/W2969901581","https://openalex.org/W2992026644","https://openalex.org/W2992331780","https://openalex.org/W3005950729","https://openalex.org/W3007878073","https://openalex.org/W3018119790","https://openalex.org/W3032821910","https://openalex.org/W3033513666","https://openalex.org/W3133599761","https://openalex.org/W3153337649","https://openalex.org/W3155911319","https://openalex.org/W3165318165","https://openalex.org/W3195301188","https://openalex.org/W3197787446","https://openalex.org/W3204174615","https://openalex.org/W4220941195","https://openalex.org/W4223991844","https://openalex.org/W4230962939","https://openalex.org/W4281567855","https://openalex.org/W4289656191","https://openalex.org/W4313537307","https://openalex.org/W4321166724","https://openalex.org/W4366977444","https://openalex.org/W4379507910","https://openalex.org/W4386234711","https://openalex.org/W6887910730"],"related_works":["https://openalex.org/W2765441290","https://openalex.org/W2136472875","https://openalex.org/W4306755470","https://openalex.org/W2011396931","https://openalex.org/W2031593520","https://openalex.org/W4394861163","https://openalex.org/W2066906403","https://openalex.org/W3195257268","https://openalex.org/W2168298321","https://openalex.org/W2371524820"],"abstract_inverted_index":{"Conducting":[0],"functional":[1,5,26,79],"connectivity":[2,27,80],"analysis":[3],"on":[4],"magnetic":[6],"resonance":[7],"imaging":[8],"(fMRI)":[9],"data":[10,22,75],"presents":[11],"a":[12,49,67,180],"significant":[13],"and":[14,76,99,132,174,197,201],"intricate":[15],"challenge.":[16],"Contemporary":[17],"studies":[18],"typically":[19],"analyze":[20],"fMRI":[21,74,161],"by":[23,96,114],"constructing":[24],"high-order":[25,78,116],"networks":[28],"(FCNs)":[29],"due":[30],"to":[31],"their":[32],"strong":[33],"interpretability.":[34],"However,":[35],"these":[36],"approaches":[37],"often":[38],"overlook":[39],"temporal":[40,71,108,154],"information,":[41],"resulting":[42],"in":[43,52,55,139],"suboptimal":[44],"accuracy.":[45],"Temporal":[46],"information":[47,143,155],"plays":[48],"vital":[50],"role":[51],"reflecting":[53],"changes":[54],"blood":[56],"oxygenation":[57],"level-dependent":[58],"signals.":[59],"To":[60],"address":[61],"this":[62],"shortcoming,":[63],"we":[64,111],"have":[65,148],"devised":[66],"framework":[68,166,186],"for":[69],"extracting":[70],"dependencies":[72],"from":[73],"inferring":[77],"among":[81],"regions":[82],"of":[83,127,142,152],"interest":[84],"(ROIs).":[85],"Our":[86,122],"approach":[87],"postulates":[88],"that":[89],"the":[90,97,100,103,128,133,140,150,189],"current":[91],"state":[92,101],"can":[93],"be":[94],"determined":[95],"FCN":[98,113,157],"at":[102],"previous":[104,195],"time,":[105],"effectively":[106],"capturing":[107],"dependencies.":[109],"Furthermore,":[110],"enhance":[112],"incorporating":[115],"features":[117],"through":[118],"hypergraph-based":[119,173],"manifold":[120],"regularization.":[121],"algorithm":[123],"involves":[124],"causal":[125],"modeling":[126],"dynamic":[129],"brain":[130],"system,":[131],"obtained":[134],"directed":[135],"FC":[136],"reveals":[137],"differences":[138],"flow":[141],"under":[144],"different":[145],"patterns.":[146],"We":[147],"validated":[149],"significance":[151],"integrating":[153],"into":[156],"using":[158],"four":[159],"real-world":[160],"datasets.":[162],"On":[163],"average,":[164],"our":[165,185],"achieves":[167],"12%":[168],"higher":[169],"accuracy":[170],"than":[171],"non-temporal":[172],"low-order":[175],"FCNs,":[176],"all":[177],"while":[178],"maintaining":[179],"short":[181],"processing":[182],"time.":[183],"Notably,":[184],"successfully":[187],"identifies":[188],"most":[190],"discriminative":[191],"ROIs,":[192],"aligning":[193],"with":[194],"research,":[196],"thereby":[198],"facilitating":[199],"cognitive":[200],"behavioral":[202],"studies.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}