{"id":"https://openalex.org/W2899271080","doi":"https://doi.org/10.1109/embc.2018.8513589","title":"A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data","display_name":"A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2899271080","doi":"https://doi.org/10.1109/embc.2018.8513589","mag":"2899271080","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441591"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8513589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5025775404","display_name":"Andrea Duggento","orcid":"https://orcid.org/0000-0001-6030-5269"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Duggento","raw_affiliation_strings":["Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031935895","display_name":"Luca Passamonti","orcid":"https://orcid.org/0000-0002-7937-0615"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luca Passamonti","raw_affiliation_strings":["University of Cambridge, Cambridge, Cambridgeshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, Cambridgeshire, GB","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048596584","display_name":"Maria Guerrisi","orcid":"https://orcid.org/0000-0002-7456-4349"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Guerrisi","raw_affiliation_strings":["Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010629974","display_name":"Nicola Toschi","orcid":"https://orcid.org/0000-0003-1929-5833"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Toschi","raw_affiliation_strings":["Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Roma Tor Vergata, Roma, Lazio, IT","institution_ids":["https://openalex.org/I116067653"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025775404"],"corresponding_institution_ids":["https://openalex.org/I116067653"],"apc_list":null,"apc_paid":null,"fwci":0.3704,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59475725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"5537","last_page":"5540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/connectomics","display_name":"Connectomics","score":0.7637889385223389},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.7522310614585876},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.6696382761001587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474997997283936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5814613699913025},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5758873224258423},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.5073556303977966},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.473201721906662},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4595903158187866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44364938139915466},{"id":"https://openalex.org/keywords/blood-oxygen-level-dependent","display_name":"Blood-oxygen-level dependent","score":0.43238940834999084},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.37648120522499084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.371166467666626},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.3059394955635071},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20621758699417114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14559638500213623},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12759357690811157}],"concepts":[{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.7637889385223389},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.7522310614585876},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.6696382761001587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474997997283936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814613699913025},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5758873224258423},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.5073556303977966},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.473201721906662},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4595903158187866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44364938139915466},{"id":"https://openalex.org/C2780238834","wikidata":"https://www.wikidata.org/wiki/Q796855","display_name":"Blood-oxygen-level dependent","level":3,"score":0.43238940834999084},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.37648120522499084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.371166467666626},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.3059394955635071},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20621758699417114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14559638500213623},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12759357690811157}],"mesh":[{"descriptor_ui":"D000069336","descriptor_name":"Neurovascular Coupling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069336","descriptor_name":"Neurovascular Coupling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069336","descriptor_name":"Neurovascular Coupling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063132","descriptor_name":"Connectome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2018.8513589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441591","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441591","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:art.torvergata.it:2108/232526","is_oa":false,"landing_page_url":"http://hdl.handle.net/2108/232526","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W87071252","https://openalex.org/W1853766545","https://openalex.org/W1965864545","https://openalex.org/W1977540564","https://openalex.org/W1987924998","https://openalex.org/W1996779446","https://openalex.org/W1999653836","https://openalex.org/W2001367568","https://openalex.org/W2020245429","https://openalex.org/W2023218033","https://openalex.org/W2050523241","https://openalex.org/W2054930781","https://openalex.org/W2066400502","https://openalex.org/W2069764737","https://openalex.org/W2072522618","https://openalex.org/W2075068561","https://openalex.org/W2090764388","https://openalex.org/W2092598292","https://openalex.org/W2116031726","https://openalex.org/W2123526233","https://openalex.org/W2123586737","https://openalex.org/W2149153247","https://openalex.org/W2156282037","https://openalex.org/W2157239334","https://openalex.org/W2162019295","https://openalex.org/W2164653071","https://openalex.org/W2165117638","https://openalex.org/W2320586202","https://openalex.org/W2340872164","https://openalex.org/W2536590715","https://openalex.org/W2755300236","https://openalex.org/W2795581154"],"related_works":["https://openalex.org/W3210800206","https://openalex.org/W1744057168","https://openalex.org/W4323359826","https://openalex.org/W2741941708","https://openalex.org/W2114571052","https://openalex.org/W4293242064","https://openalex.org/W2079635207","https://openalex.org/W2885436153","https://openalex.org/W2611561168","https://openalex.org/W4220697754"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,38,155],"Multivariate":[3],"Granger":[4],"Causality":[5],"(MVGC)":[6],"in":[7,28,133,138,148,201],"estimating":[8],"directed":[9,112,129,141],"Blood-Oxygen-Level-":[10],"Dependant":[11],"(BOLD)":[12],"connectivity":[13,130,158],"is":[14,18,58,74],"still":[15],"controversial.":[16],"This":[17],"mostly":[19],"due":[20],"to":[21,34,51,76,121,128,167,184],"the":[22,35,39,52,125,151,168,172,188,191],"short":[23],"data":[24,165],"Ienghts":[25],"typically":[26],"available":[27],"func-":[29],"tional":[30],"MRI":[31],"(fMRI)":[32],"acquisitions,":[33],"very":[36,182],"nature":[37],"BOLD":[40,157,164],"acquisition":[41],"strategy":[42],"(which":[43],"yields":[44],"extremely":[45],"low":[46],"signal-":[47],"to-noise-ratio)":[48],"and":[49,114,123,137],"importantly":[50],"fact":[53],"that":[54,150,190],"neuronal":[55,101,106],"activi-":[56],"ty":[57],"convolved":[59],"with":[60,161,198],"a":[61,70,139,156,178],"slow-varying":[62],"haemodynamic":[63],"response":[64],"function":[65],"(HRF)":[66],"which":[67,73,109],"therefore":[68],"generates":[69],"temporal":[71],"confound":[72],"arduous":[75],"account":[77],"for":[78],"when":[79],"basing":[80],"MVGC":[81,126,162],"estimates":[82],"on":[83,99],"vector":[84],"autoregressive":[85],"models":[86,97],"(VAR).":[87],"In":[88,144],"this":[89,199],"paper,":[90],"we":[91,146],"em-":[92],"ploy":[93],"realistic":[94,105,134],"complex":[95,140],"network":[96,142],"based":[98],"Izhikevich":[100],"populations,":[102],"interlinked":[103],"by":[104,171],"fiber":[107],"bundles":[108],"exert":[110],"compounded":[111],"influences":[113],"cas-":[115],"cade":[116],"into":[117],"Baloon-model-like":[118],"neurovascular":[119],"coupling,":[120],"explore":[122],"validate":[124],"approach":[127],"es-":[131],"timation":[132],"fMRI":[135],"conditions":[136],"setting.":[143],"particular,":[145],"show":[147],"silico":[149],"top":[152],"1":[153],"percentile":[154],"matrix":[159],"estimated":[160],"from":[163],"similar":[166],"one":[169],"provided":[170],"Human":[173],"Connectome":[174],"Project":[175],"(HCP)":[176],"has":[177],"Positive":[179],"Predictive":[180],"Value":[181],"close":[183],"1,":[185],"hence":[186],"corroborating":[187],"evidence":[189],"\"strongest\"":[192],"connections":[193],"can":[194],"be":[195],"safely":[196],"studied":[197],"method":[200],"fMRI.":[202]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
