{"id":"https://openalex.org/W2799216635","doi":"https://doi.org/10.1109/acssc.2017.8335618","title":"Multi-kernel change detection for dynamic functional connectivity graphs","display_name":"Multi-kernel change detection for dynamic functional connectivity graphs","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2799216635","doi":"https://doi.org/10.1109/acssc.2017.8335618","mag":"2799216635"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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/A5066954132","display_name":"Georgios V. Karanikolas","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios Vasileios Karanikolas","raw_affiliation_strings":["Dept. of ECE and DTC, University of Minnesota, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE and DTC, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002202464","display_name":"Olaf Sporns","orcid":"https://orcid.org/0000-0001-7265-4036"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olaf Sporns","raw_affiliation_strings":["Dept. of Psychological and Brain Sciences, Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Psychological and Brain Sciences, Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Dept. of ECE and DTC, University of Minnesota, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE and DTC, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.266,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.58301907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"1555","last_page":"1559"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.992900013923645,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.98580002784729,"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/computer-science","display_name":"Computer science","score":0.7716946601867676},{"id":"https://openalex.org/keywords/dynamic-functional-connectivity","display_name":"Dynamic functional connectivity","score":0.6553094983100891},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5668490529060364},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5665909647941589},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5339424014091492},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5056774616241455},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4969501793384552},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4714157283306122},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4592772126197815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44757747650146484},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.4436107873916626},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4407898783683777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40663599967956543},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3497767150402069},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.251975953578949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17494097352027893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716946601867676},{"id":"https://openalex.org/C2781312939","wikidata":"https://www.wikidata.org/wiki/Q17088721","display_name":"Dynamic functional connectivity","level":3,"score":0.6553094983100891},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5668490529060364},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5665909647941589},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5339424014091492},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5056774616241455},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4969501793384552},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4714157283306122},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4592772126197815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44757747650146484},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.4436107873916626},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4407898783683777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40663599967956543},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3497767150402069},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.251975953578949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17494097352027893},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2017.8335618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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":19,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W1540155273","https://openalex.org/W1560724230","https://openalex.org/W1578330309","https://openalex.org/W1747101780","https://openalex.org/W1914219707","https://openalex.org/W1976623182","https://openalex.org/W1996527305","https://openalex.org/W2109743529","https://openalex.org/W2117663940","https://openalex.org/W2123526233","https://openalex.org/W2138905229","https://openalex.org/W2150023439","https://openalex.org/W2403074563","https://openalex.org/W2519285579","https://openalex.org/W3142828467","https://openalex.org/W3144619878","https://openalex.org/W4246386548","https://openalex.org/W6640015359"],"related_works":["https://openalex.org/W3088035158","https://openalex.org/W4307558259","https://openalex.org/W2241382951","https://openalex.org/W4385542976","https://openalex.org/W3096960184","https://openalex.org/W3212435559","https://openalex.org/W2562004987","https://openalex.org/W4318998028","https://openalex.org/W3040464212","https://openalex.org/W2136479525"],"abstract_inverted_index":{"Dynamic":[0],"functional":[1],"connectivity":[2],"(dFC)":[3],"analyses":[4],"of":[5,37,82,100,115],"fMRI":[6,134],"time-courses":[7,77],"are":[8,68],"typically":[9],"performed":[10],"using":[11],"sliding-window":[12],"based":[13,131],"schemes.":[14],"Such":[15],"approaches":[16,60],"not":[17,29],"only":[18],"inherently":[19],"confine":[20],"analysis":[21],"to":[22,33,54,70,79],"a":[23,90],"single":[24],"time-scale,":[25],"but":[26],"also":[27],"do":[28],"generally":[30,105],"lend":[31],"themselves":[32],"accurate":[34],"change-time":[35],"estimates":[36],"the":[38,48,52,59,65,83,98,104,113,116],"dynamically":[39,118],"evolving":[40,119],"graph":[41],"topology.":[42],"Change":[43],"point":[44,94],"detection":[45,95],"methods":[46],"on":[47,126],"other":[49],"hand,":[50],"offer":[51],"potential":[53],"overcome":[55],"both":[56],"limitations.":[57],"However,":[58],"employed":[61],"so":[62],"far":[63],"in":[64,73,103,112],"dFC":[66],"context":[67],"limited":[69],"detecting":[71],"changes":[72,102],"linear":[74],"relationships":[75,107],"among":[76,108],"corresponding":[78,117],"distinct":[80],"regions":[81],"brain.":[84],"The":[85,122],"present":[86],"work":[87],"puts":[88],"forth":[89],"novel":[91],"multi-kernel":[92],"change":[93],"approach":[96,123],"with":[97],"goal":[99],"capturing":[101],"nonlinear":[106],"time-courses,":[109],"and":[110],"thus":[111],"topologies":[114],"FC":[120],"graphs.":[121],"is":[124],"tested":[125],"dynamic":[127],"causal":[128],"model":[129],"(DCM)":[130],"synthetic":[132],"resting-state":[133],"data.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
