{"id":"https://openalex.org/W3044115204","doi":"https://doi.org/10.1109/iwssip48289.2020.9145352","title":"Functional and Effective Connectivity Characterization of Absence Seizures","display_name":"Functional and Effective Connectivity Characterization of Absence Seizures","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3044115204","doi":"https://doi.org/10.1109/iwssip48289.2020.9145352","mag":"3044115204"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5072071997","display_name":"Viviane S. G. M. Tenorio","orcid":null},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Viviane S. G. M. Tenorio","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079632551","display_name":"Juliana Martins de Assis","orcid":null},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Juliana M. de Assis","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058758241","display_name":"Francisco de Assis","orcid":"https://orcid.org/0000-0002-8619-0874"},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco M. de Assis","raw_affiliation_strings":["Federal University of Campina Grande, Campina Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Campina Grande, Campina Grande, Brazil","institution_ids":["https://openalex.org/I41455075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072071997"],"corresponding_institution_ids":["https://openalex.org/I41455075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07835895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"30","issue":null,"first_page":"81","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9972000122070312,"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/transfer-entropy","display_name":"Transfer entropy","score":0.874369204044342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6796643137931824},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.5617830753326416},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5476736426353455},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5414173603057861},{"id":"https://openalex.org/keywords/information-transfer","display_name":"Information transfer","score":0.5387194752693176},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46783366799354553},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.4405350685119629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4391497075557709},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4327786862850189},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4190841317176819},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37749338150024414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37623006105422974},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.25762590765953064},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2410363256931305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23060745000839233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17375704646110535},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.15748587250709534},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07943186163902283}],"concepts":[{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.874369204044342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796643137931824},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.5617830753326416},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5476736426353455},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5414173603057861},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.5387194752693176},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46783366799354553},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.4405350685119629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4391497075557709},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4327786862850189},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4190841317176819},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37749338150024414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37623006105422974},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.25762590765953064},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2410363256931305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23060745000839233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17375704646110535},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.15748587250709534},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07943186163902283},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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},{"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:10.1109/iwssip48289.2020.9145352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","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":36,"referenced_works":["https://openalex.org/W1566285501","https://openalex.org/W1966523973","https://openalex.org/W1969312384","https://openalex.org/W1997976387","https://openalex.org/W2002429132","https://openalex.org/W2010858500","https://openalex.org/W2016854448","https://openalex.org/W2019774050","https://openalex.org/W2041782669","https://openalex.org/W2052990681","https://openalex.org/W2054444429","https://openalex.org/W2056944867","https://openalex.org/W2064113649","https://openalex.org/W2079790369","https://openalex.org/W2088393247","https://openalex.org/W2088432928","https://openalex.org/W2107541057","https://openalex.org/W2142181855","https://openalex.org/W2142858796","https://openalex.org/W2159929956","https://openalex.org/W2160933226","https://openalex.org/W2167822639","https://openalex.org/W2170872204","https://openalex.org/W2280655674","https://openalex.org/W2292877799","https://openalex.org/W2536062427","https://openalex.org/W2582558755","https://openalex.org/W2594469249","https://openalex.org/W2795327628","https://openalex.org/W2885295818","https://openalex.org/W2899399085","https://openalex.org/W2945032471","https://openalex.org/W2980231888","https://openalex.org/W2980825421","https://openalex.org/W3092764476","https://openalex.org/W6742816843"],"related_works":["https://openalex.org/W1999409691","https://openalex.org/W3598568","https://openalex.org/W4295126097","https://openalex.org/W2050334647","https://openalex.org/W2271321208","https://openalex.org/W2583159834","https://openalex.org/W3201040837","https://openalex.org/W3032013634","https://openalex.org/W3100602177","https://openalex.org/W4210953945"],"abstract_inverted_index":{"The":[0,82,186],"human":[1],"brain":[2,98],"is":[3,20,38,77,120,192],"a":[4,21,142],"complex":[5,94],"system":[6],"and":[7,42,67,103,156,200],"many":[8],"approaches":[9],"are":[10,70,203],"currently":[11],"being":[12],"used":[13],"to":[14],"study":[15],"its":[16],"disorders.":[17],"Functional":[18,61,85,199],"Connectivity":[19,53,86,202],"well-known":[22],"approach":[23],"which":[24],"characterizes":[25],"the":[26,34,46,49,78,88,93,97,194],"relationship":[27,37],"between":[28],"two":[29],"or":[30],"more":[31],"regions":[32],"of":[33,57,90,96,101,145,182,189,197],"brain.":[35,47],"This":[36,134],"inferred":[39],"from":[40,45,167,209],"measuring":[41],"correlating":[43,58],"activity":[44],"On":[48],"other":[50,68],"hand,":[51],"Effective":[52,73,201],"quantifies":[54],"activities":[55],"instead":[56],"them.":[59],"For":[60,72],"Connectivity,":[62,74],"Phase":[63],"Locked":[64],"Value":[65],"(PLV)":[66],"measures":[69],"used.":[71,81],"Transfer":[75,118,157],"Entropy":[76,119,158],"main":[79,187],"measure":[80],"problem":[83],"is:":[84],"describes":[87],"flow":[89],"information":[91,115],"in":[92,99,180],"network":[95,195],"terms":[100,181],"correlation,":[102],"allows":[104],"time":[105,132],"delays":[106],"computations":[107],"for":[108],"better":[109],"correlations":[110],"-":[111],"but":[112,125],"gives":[113],"no":[114],"regarding":[116,123],"causality;":[117],"very":[121],"accurate":[122],"causality,":[124],"has":[126],"assessed":[127],"interactions":[128],"at":[129],"only":[130],"one":[131],"delay.":[133],"paper":[135,191],"will":[136,161,177],"address":[137],"these":[138],"issues":[139],"by":[140],"analysing":[141],"data":[143,166],"set":[144],"absence":[146,207],"seizures":[147,208],"on":[148,164],"both":[149,175,198],"connectivity":[150,184],"analyses.":[151],"PLV":[152],"(Phase":[153],"Locking":[154],"Value)":[155],"(TE)":[159],"algorithms":[160],"be":[162,178],"performed":[163],"EEG":[165,210],"11":[168],"subjects":[169],"diagnosed":[170],"with":[171],"Absence":[172],"Seizures.":[173],"Afterwards,":[174],"networks":[176],"described":[179],"each":[183],"type.":[185],"contribution":[188],"this":[190],"that":[193],"specification":[196],"complementary":[204],"when":[205],"characterizing":[206],"data.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}