{"id":"https://openalex.org/W1681351862","doi":"https://doi.org/10.1109/isbi.2015.7163808","title":"New measures of brain functional connectivity by temporal analysis of extreme events","display_name":"New measures of brain functional connectivity by temporal analysis of extreme events","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1681351862","doi":"https://doi.org/10.1109/isbi.2015.7163808","mag":"1681351862"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/206214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110812011","display_name":"Djalel\u2010Eddine Meskaldji","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Djalel-Eddine Meskaldji","raw_affiliation_strings":["Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland","EPFL, Institute of Bioengineering, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"EPFL, Institute of Bioengineering, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031733622","display_name":"Stephan Morgenthaler","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stephan Morgenthaler","raw_affiliation_strings":["Applied statistics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied statistics, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003693672","display_name":"Dimitri Van De Ville","orcid":"https://orcid.org/0000-0002-2879-3861"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dimitri Van De Ville","raw_affiliation_strings":["Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland","EPFL, Institute of Bioengineering, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"EPFL, Institute of Bioengineering, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8154,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.70889866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T13283","display_name":"Mental Health Research Topics","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7465158104896545},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.6346709132194519},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.6170600056648254},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6036546230316162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5575637221336365},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5283573269844055},{"id":"https://openalex.org/keywords/spearmans-rank-correlation-coefficient","display_name":"Spearman's rank correlation coefficient","score":0.5124269127845764},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4869455099105835},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.4686505198478699},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46679195761680603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41500163078308105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3645288050174713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32864558696746826},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2965237498283386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24647948145866394},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15477517247200012},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12881329655647278}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7465158104896545},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.6346709132194519},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.6170600056648254},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6036546230316162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5575637221336365},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5283573269844055},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.5124269127845764},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4869455099105835},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.4686505198478699},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46679195761680603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41500163078308105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3645288050174713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32864558696746826},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2965237498283386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24647948145866394},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15477517247200012},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12881329655647278},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isbi.2015.7163808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:unige.ch:aou:unige:85243","is_oa":false,"landing_page_url":"https://archive-ouverte.unige.ch/unige:85243","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 12th International (2015)\\n          ","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:infoscience.epfl.ch:206214","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/206214","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:206214","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/112228","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:206214","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/206214","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1984589372","https://openalex.org/W1987924998","https://openalex.org/W2019672444","https://openalex.org/W2020222674","https://openalex.org/W2058046532","https://openalex.org/W2102834174","https://openalex.org/W2116111553","https://openalex.org/W2118693417","https://openalex.org/W2124698428","https://openalex.org/W2138356120","https://openalex.org/W2149013149","https://openalex.org/W6680296120"],"related_works":["https://openalex.org/W2562018983","https://openalex.org/W1911095394","https://openalex.org/W2749680699","https://openalex.org/W2146096861","https://openalex.org/W2560331580","https://openalex.org/W2358850878","https://openalex.org/W4313426618","https://openalex.org/W4311499111","https://openalex.org/W2360949080","https://openalex.org/W1600238062"],"abstract_inverted_index":{"Understanding":[0],"brain":[1,20],"structure":[2],"and":[3,98],"function":[4],"can":[5],"benefit":[6],"from":[7],"studying":[8],"functional":[9,16,80,113,127],"connectivity.":[10],"A":[11],"common":[12,126],"methodology":[13],"to":[14,23,60,78],"measure":[15,111],"connectivity":[17,81,114,128],"between":[18,27,82,103],"two":[19,50,83],"regions":[21,84],"is":[22,122],"estimate":[24,79],"the":[25,40,44,56,63,67,71,87,91,95,101,119],"correlation":[26],"their":[28],"corresponding":[29],"average":[30],"time":[31,92],"courses.":[32],"Usually,":[33],"these":[34,49,104],"correlations":[35],"are":[36],"computed":[37],"either":[38],"via":[39],"Pearson":[41,131],"estimator":[42],"or":[43,132],"non-parametric":[45],"Spearman":[46,133],"estimator.":[47],"However,":[48],"measures":[51],"do":[52],"not":[53],"fully":[54],"reflect":[55],"information":[57,117],"we":[58,76],"want":[59],"extract":[61],"about":[62,118],"spontaneous":[64],"activity":[65],"in":[66],"different":[68],"areas":[69],"of":[70,90,112],"brain.":[72],"In":[73],"this":[74],"paper,":[75],"propose":[77],"by":[85,99],"modeling":[86],"activation":[88],"parts":[89],"course":[93],"as":[94],"extreme":[96],"events":[97],"measuring":[100],"co-activation":[102],"events.":[105],"We":[106],"show":[107],"that":[108],"our":[109],"new":[110],"contains":[115],"key":[116],"co-activations,":[120],"which":[121],"lost":[123],"when":[124],"using":[125],"measures;":[129],"i.e.,":[130],"correlation.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}