{"id":"https://openalex.org/W2790728802","doi":"https://doi.org/10.1117/12.2293877","title":"Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI","display_name":"Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2790728802","doi":"https://doi.org/10.1117/12.2293877","mag":"2790728802"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293877","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-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":"https://openalex.org/A5055258237","display_name":"Udaysankar Chockanathan","orcid":"https://orcid.org/0000-0002-4469-1371"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Udaysankar Chockanathan","raw_affiliation_strings":["Univ. of Rochester (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Rochester (United States)","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022256468","display_name":"Anas Z. Abidin","orcid":"https://orcid.org/0000-0003-0032-0664"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anas Z. Abidin","raw_affiliation_strings":["Univ. of Rochester (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Rochester (United States)","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068409005","display_name":"Adora M. DSouza","orcid":"https://orcid.org/0000-0001-5656-0021"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adora M. DSouza","raw_affiliation_strings":["Univ. of Rochester (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Rochester (United States)","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036396088","display_name":"Axel Wism\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Axel Wism\u00fcller","raw_affiliation_strings":["Ludwig Maximilian Univ. (Germany)","Univ. of Rochester (United States)"],"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian Univ. (Germany)","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Univ. of Rochester (United States)","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017422398","display_name":"Giovanni Schifitto","orcid":"https://orcid.org/0000-0002-2115-4143"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giovanni Schifitto","raw_affiliation_strings":["Univ. of Rochester (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Rochester (United States)","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055258237"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.3703,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.56849199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9788","issue":null,"first_page":"10","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9965999722480774,"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":0.9921000003814697,"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/granger-causality","display_name":"Granger causality","score":0.8381840586662292},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6609908938407898},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.6593997478485107},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6371549367904663},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6166499853134155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5262564420700073},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46136561036109924},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.45510542392730713},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3949085474014282},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.345253586769104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3383960425853729},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2752317190170288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2251233458518982},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20882439613342285},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1183890700340271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10372918844223022},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10113269090652466},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09529036283493042}],"concepts":[{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.8381840586662292},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6609908938407898},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6593997478485107},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6371549367904663},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6166499853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5262564420700073},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46136561036109924},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.45510542392730713},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3949085474014282},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.345253586769104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3383960425853729},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2752317190170288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2251233458518982},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20882439613342285},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1183890700340271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10372918844223022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10113269090652466},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09529036283493042},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293877","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W212537071","https://openalex.org/W1969700144","https://openalex.org/W1985258161","https://openalex.org/W1987924998","https://openalex.org/W2005821483","https://openalex.org/W2006096283","https://openalex.org/W2011541551","https://openalex.org/W2041951497","https://openalex.org/W2058046532","https://openalex.org/W2104085672","https://openalex.org/W2112090702","https://openalex.org/W2114099272","https://openalex.org/W2117663940","https://openalex.org/W2131681506","https://openalex.org/W2138905229","https://openalex.org/W2142635246","https://openalex.org/W2143895814","https://openalex.org/W2148606196","https://openalex.org/W2156737316","https://openalex.org/W2167822639","https://openalex.org/W2171191802","https://openalex.org/W2178225550","https://openalex.org/W2327725366","https://openalex.org/W2329989946","https://openalex.org/W2596693826","https://openalex.org/W2597194388","https://openalex.org/W2626279430","https://openalex.org/W3099768174","https://openalex.org/W6646789938","https://openalex.org/W6677097164","https://openalex.org/W6734916257","https://openalex.org/W6735338516","https://openalex.org/W6739208982"],"related_works":["https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W1972675643","https://openalex.org/W4403450413","https://openalex.org/W4232465970"],"abstract_inverted_index":{"The":[0,102,203],"advent":[1],"of":[2,43,59,72,96,188,205,218],"advanced":[3],"multivariate":[4],"time-series":[5],"analysis":[6],"methods":[7],"to":[8,52,65,124,140,153,178,191,214,224],"capture":[9,215],"directional":[10],"information":[11],"flow":[12],"in":[13,38,63],"the":[14,120,172,196,212],"brain,":[15],"such":[16],"as":[17,128],"large-scale":[18],"Granger":[19],"causality":[20],"(lsGC),":[21],"has":[22,211],"already":[23],"yielded":[24],"insights":[25],"into":[26],"healthy":[27,61],"and":[28,32,75,93,98,106,116,156,165,200,226],"diseased":[29],"brain":[30,45,84,219],"states":[31],"holds":[33],"promise":[34],"for":[35,110],"continued":[36],"discoveries":[37],"neuroscience.":[39],"Here,":[40],"a":[41,53,70,148],"set":[42],"functional":[44,55,180,183,227],"networks":[46,121,137],"was":[47,81,169],"generated":[48],"by":[49,130],"applying":[50],"lsGC":[51,210],"resting-state":[54,193],"MRI":[56],"dataset":[57],"comprised":[58],"20":[60],"individuals":[62],"order":[64],"characterize":[66],"network":[67,76,100,149,174],"properties":[68],"across":[69],"range":[71],"spatial":[73,89,117],"scales":[74],"densities.":[77,101],"Network":[78],"vertex":[79,158],"definition":[80],"performed":[82,170],"using":[83],"parcellation":[85],"templates":[86],"at":[87],"three":[88,187],"resolutions":[90,118],"(90,":[91],"231,":[92],"438":[94],"regions":[95],"interest)":[97],"eight":[99],"small-worldness":[103],"parameter":[104],"σ":[105,132],"degree-distribution":[107],"were":[108,122,138,185],"computed":[109],"each":[111],"network.":[112],"Over":[113],"all":[114,136,176],"thresholds":[115],"considered,":[119],"determined":[123,139],"have":[125,141],"small-world":[126],"properties,":[127],"indicated":[129],"mean":[131,173],"»":[133],"1.":[134],"Moreover,":[135],"an":[142],"exponentially":[143],"truncated":[144],"degree":[145],"distribution,":[146],"indicating":[147],"structure":[150],"highly":[151],"resilient":[152],"both":[154],"hub":[155],"random":[157],"attack.":[159],"In":[160],"addition,":[161],"k-nearest":[162],"neighbors":[163],"thresholding":[164],"Louvain":[166],"community":[167],"detection":[168],"on":[171],"from":[175],"subjects":[177],"extract":[179],"modules.":[181],"Eight":[182],"modules":[184],"discovered,":[186],"which":[189],"corresponded":[190],"known":[192],"networks,":[194],"including":[195,221],"default":[197],"mode,":[198],"visual,":[199],"sensorimotor":[201],"networks.":[202],"results":[204],"these":[206],"analyses":[207],"show":[208],"that":[209],"ability":[213],"important":[216],"aspects":[217],"connectivity,":[220],"small-worldness,":[222],"resilience":[223],"attack,":[225],"modularity.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}