{"id":"https://openalex.org/W2021616384","doi":"https://doi.org/10.1109/icip.2014.7025712","title":"Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI","display_name":"Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2021616384","doi":"https://doi.org/10.1109/icip.2014.7025712","mag":"2021616384"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":"https://openalex.org/A5038466882","display_name":"Nan Xu","orcid":"https://orcid.org/0000-0002-3900-3220"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["Department of Human Development (RNS), Cornell University, Ithaca, NY","School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human Development (RNS), Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078300477","display_name":"R. Nathan Spreng","orcid":"https://orcid.org/0000-0003-1530-8916"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Nathan Spreng","raw_affiliation_strings":["Department of Human Development (RNS), Cornell University, Ithaca, NY","School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human Development (RNS), Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050048804","display_name":"Peter C. Doerschuk","orcid":"https://orcid.org/0000-0002-4517-6582"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter C. Doerschuk","raw_affiliation_strings":["Department of Human Development (RNS), Cornell University, Ithaca, NY","School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human Development (RNS), Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering (NX and PCD), Department of Human Development (RNS), Cornell University, Ithaca, NY 14853","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.4326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52572605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"3508","last_page":"3512"},"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":0.9976999759674072,"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":0.9973000288009644,"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/resting-state-fmri","display_name":"Resting state fMRI","score":0.7344586849212646},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6943320035934448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6575824618339539},{"id":"https://openalex.org/keywords/distance-correlation","display_name":"Distance correlation","score":0.43308377265930176},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.42735400795936584},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4273000955581665},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.42666706442832947},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.41374894976615906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4130435585975647},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.4126889407634735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38093817234039307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3791482746601105},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.16134655475616455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15672045946121216},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10447853803634644}],"concepts":[{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.7344586849212646},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6943320035934448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575824618339539},{"id":"https://openalex.org/C121694360","wikidata":"https://www.wikidata.org/wiki/Q5282862","display_name":"Distance correlation","level":3,"score":0.43308377265930176},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.42735400795936584},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4273000955581665},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.42666706442832947},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.41374894976615906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4130435585975647},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.4126889407634735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38093817234039307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3791482746601105},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16134655475616455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15672045946121216},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10447853803634644},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1914270110","https://openalex.org/W1980246751","https://openalex.org/W1990134753","https://openalex.org/W1995996823","https://openalex.org/W1998940813","https://openalex.org/W2005821483","https://openalex.org/W2008607322","https://openalex.org/W2009494091","https://openalex.org/W2061564920","https://openalex.org/W2067456724","https://openalex.org/W2089572795","https://openalex.org/W2119618432","https://openalex.org/W2124209874","https://openalex.org/W2124953625","https://openalex.org/W2138905229","https://openalex.org/W2152476676","https://openalex.org/W2164998314","https://openalex.org/W2168175751","https://openalex.org/W4295750005","https://openalex.org/W6647900595"],"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/W2945168867","https://openalex.org/W4233336045","https://openalex.org/W2283746446","https://openalex.org/W3145575137"],"abstract_inverted_index":{"Resting-state":[0],"functional":[1,15],"MRI":[2],"(rs":[3],"fMRI)":[4],"is":[5,17,112],"widely":[6],"used":[7,114,122],"to":[8,39,75,120],"non-invasively":[9],"study":[10],"human":[11,156],"brain":[12,157],"networks.":[13,177],"Network":[14],"connectivity":[16,79],"estimated":[18,71],"by":[19,72],"calculating":[20],"the":[21,41,44,67,77,87,104,129,132,138,148,155,170],"standard":[22,36,88,124,161],"correlation":[23,37,89,95,111],"between":[24,49,80,90,96],"blood-oxygen-level":[25],"dependent":[26],"(BOLD)":[27],"signals":[28,92],"in":[29,55,115,142],"specific":[30],"regions":[31,174],"of":[32,46,106,134,140,154,173],"interests":[33],"(ROIs).":[34],"However,":[35],"fails":[38],"characterize":[40],"causality":[42,130],"and":[43,100,137,150],"direction":[45,133],"information":[47,135,143],"flow":[48],"regions,":[50],"which":[51],"are":[52],"important":[53],"factors":[54],"characterizing":[56],"a":[57,94,97,101,116],"network.":[58],"Here,":[59],"we":[60,85],"use":[61],"causal":[62],"linear":[63],"time-invariant":[64],"models,":[65],"with":[66,93,123,160],"impulse":[68],"response":[69],"duration":[70],"Information":[73],"Criteria,":[74],"describe":[76],"effective":[78],"ROIs.":[81],"To":[82],"do":[83],"so,":[84],"replace":[86],"BOLD":[91,98,108],"signal":[99],"prediction":[102],"via":[103],"model":[105],"that":[107,121],"signal.":[109],"Prediction":[110],"then":[113],"network":[117,152],"analysis":[118],"similar":[119],"correlation.":[125],"Our":[126],"results":[127],"include":[128],"information,":[131],"flow,":[136],"possibility":[139],"delays":[141],"flow.":[144],"This":[145],"approach":[146],"replicates":[147],"local":[149],"distributed":[151],"architecture":[153],"previously":[158],"observed":[159],"correlations,":[162],"as":[163,165],"well":[164],"providing":[166],"novel":[167],"insight":[168],"into":[169],"directed":[171],"interactivity":[172],"comprising":[175],"these":[176]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}