{"id":"https://openalex.org/W4285010462","doi":"https://doi.org/10.3390/s22145162","title":"Dynamic Connectivity Analysis Using Adaptive Window Size","display_name":"Dynamic Connectivity Analysis Using Adaptive Window Size","publication_year":2022,"publication_date":"2022-07-10","ids":{"openalex":"https://openalex.org/W4285010462","doi":"https://doi.org/10.3390/s22145162","pmid":"https://pubmed.ncbi.nlm.nih.gov/35890842"},"language":"en","primary_location":{"id":"doi:10.3390/s22145162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145162","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5162/pdf?version=1657613058","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5162/pdf?version=1657613058","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036648260","display_name":"Zoran \u0160verko","orcid":"https://orcid.org/0000-0003-3461-963X"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Zoran \u0160verko","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0003-3461-963X","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033819269","display_name":"Miroslav Vranki\u0107","orcid":"https://orcid.org/0000-0002-1036-9261"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Miroslav Vrankic","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-1036-9261","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007262171","display_name":"Sa\u0161a Vlahini\u0107","orcid":"https://orcid.org/0000-0003-0266-9253"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Sa\u0161a Vlahini\u0107","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0003-0266-9253","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046265051","display_name":"Peter Rogelj","orcid":"https://orcid.org/0000-0003-2939-6945"},"institutions":[{"id":"https://openalex.org/I118905719","display_name":"University of Primorska","ror":"https://ror.org/05xefg082","country_code":"SI","type":"education","lineage":["https://openalex.org/I118905719"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Peter Rogelj","raw_affiliation_strings":["Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia"],"raw_orcid":"https://orcid.org/0000-0003-2939-6945","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia","institution_ids":["https://openalex.org/I118905719"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033819269"],"corresponding_institution_ids":["https://openalex.org/I154347574"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1834,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76556328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"14","first_page":"5162","last_page":"5162"},"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":0.9995999932289124,"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":0.9975000023841858,"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/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6430736780166626},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6276401281356812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5843390226364136},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5427127480506897},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5377492904663086},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4665059447288513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4627622961997986},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4536828100681305},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4263535439968109},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4179469048976898},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3587491810321808},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3215862810611725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2561708986759186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21819916367530823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08078104257583618}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6430736780166626},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6276401281356812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843390226364136},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5427127480506897},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5377492904663086},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4665059447288513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4627622961997986},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4536828100681305},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4263535439968109},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4179469048976898},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3587491810321808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3215862810611725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2561708986759186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21819916367530823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08078104257583618},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000078331","descriptor_name":"Correlation of Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078331","descriptor_name":"Correlation of Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078331","descriptor_name":"Correlation of Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145162","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5162/pdf?version=1657613058","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35890842","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35890842","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d2d6f03ddd874d0b81e6db0131bbe421","is_oa":true,"landing_page_url":"https://doaj.org/article/d2d6f03ddd874d0b81e6db0131bbe421","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 14, p 5162 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5162/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 14; Pages: 5162","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9320138","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9320138","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145162","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5162/pdf?version=1657613058","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2171898597","display_name":null,"funder_award_id":"KK.01.1","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2181880775","display_name":null,"funder_award_id":"KK.01.1.1.01","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2699158393","display_name":null,"funder_award_id":"KK.01.1.1.01.0009 (DATACROSS","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G4100563467","display_name":null,"funder_award_id":"KK.01.1.1.01.0009","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7264982478","display_name":null,"funder_award_id":"KK.01.1.1.01.0009 (DATACROSS)","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8618518428","display_name":null,"funder_award_id":"KK.01.1.1.01.","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285010462.pdf","grobid_xml":"https://content.openalex.org/works/W4285010462.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1552598564","https://openalex.org/W1966641148","https://openalex.org/W1973716971","https://openalex.org/W1976623182","https://openalex.org/W1989577623","https://openalex.org/W2012423033","https://openalex.org/W2022159725","https://openalex.org/W2037035617","https://openalex.org/W2042673904","https://openalex.org/W2049649543","https://openalex.org/W2068468084","https://openalex.org/W2082284485","https://openalex.org/W2109582949","https://openalex.org/W2112463907","https://openalex.org/W2115810652","https://openalex.org/W2119295014","https://openalex.org/W2120772371","https://openalex.org/W2123063325","https://openalex.org/W2129684561","https://openalex.org/W2133565549","https://openalex.org/W2142681605","https://openalex.org/W2146536821","https://openalex.org/W2146693559","https://openalex.org/W2164549078","https://openalex.org/W2167770537","https://openalex.org/W2170702893","https://openalex.org/W2514725648","https://openalex.org/W2550591043","https://openalex.org/W2601397195","https://openalex.org/W2792120786","https://openalex.org/W2793228501","https://openalex.org/W2896164972","https://openalex.org/W2955852632","https://openalex.org/W3020268474","https://openalex.org/W3036742533","https://openalex.org/W3042240997","https://openalex.org/W3044648820","https://openalex.org/W3128593263","https://openalex.org/W3200545737","https://openalex.org/W4205798776","https://openalex.org/W4213304230","https://openalex.org/W4214810568","https://openalex.org/W4280544903","https://openalex.org/W4281384848"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W2109115373","https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W4230691760","https://openalex.org/W2385763735","https://openalex.org/W4293088233","https://openalex.org/W4391923333","https://openalex.org/W3014558862"],"abstract_inverted_index":{"In":[0,131],"this":[1,132],"paper,":[2,133],"we":[3,134],"propose":[4],"a":[5,217,237,249,262,287,293],"new":[6],"method":[7,20,60,103,145,165,182,194,210,284],"to":[8,90,191,222,242,254,267,285,291,299],"study":[9],"and":[10,43,68,77,87,146,162,168,187,195,260,290,301],"evaluate":[11],"the":[12,27,31,44,48,55,58,73,110,114,121,125,128,136,139,151,157,160,163,179,192,200,208,223,226,275,279,282],"time-varying":[13],"brain":[14],"network":[15],"dynamics.":[16],"The":[17,101,175,202],"proposed":[18,102,164,180,283],"RICI-imCPCC":[19,137,181,209],"(relative":[21],"intersection":[22],"of":[23,30,47,57,61,124,219,225,239,251,264,274,281,303],"confidence":[24],"intervals":[25],"for":[26,80,84,92,207],"imaginary":[28,45],"component":[29],"complex":[32,49],"Pearson":[33,50],"correlation":[34,51],"coefficient)":[35],"is":[36,118,173,196],"based":[37,119],"on":[38,120,211],"an":[39],"adaptive":[40],"window":[41,64,111,143,229,233,245,257,270],"size":[42,234,246,258,271],"part":[46],"coefficient.":[52],"It":[53],"reduces":[54],"weaknesses":[56],"existing":[59,140,161,193],"constant":[62,141,227],"sliding":[63,142,228],"analysis":[65,144,230],"with":[66,138],"narrow":[67,93,232,256],"wide":[69,85,244,269],"windows.":[70],"These":[71],"are":[72,154],"low":[74,78,98],"temporal":[75,185],"precision":[76],"reliability":[79],"short":[81],"connectivity":[82,297],"periods":[83],"windows,":[86,94],"high":[88],"susceptibility":[89],"noise":[91],"all":[95],"resulting":[96],"in":[97,295],"estimation":[99,188,203],"accuracy.":[100],"overcomes":[104],"these":[105],"shortcomings":[106],"by":[107,199,216,236,248,261],"dynamically":[108],"adjusting":[109],"width":[112],"using":[113,166,231,243,255,268],"RICI":[115],"rule,":[116],"which":[117],"statistical":[122],"properties":[123],"area":[126],"around":[127],"observed":[129],"sample.":[130],"compare":[135],"describe":[147],"its":[148],"advantages.":[149],"First,":[150],"mathematical":[152],"principles":[153],"established.":[155],"Then,":[156],"comparison":[158],"between":[159],"synthetic":[167,212],"real":[169,276],"electroencephalography":[170],"(EEG)":[171],"data":[172],"presented.":[174],"results":[176],"show":[177],"that":[178],"has":[183],"improved":[184],"resolution":[186],"accuracy":[189],"compared":[190,221,241,253,266],"less":[197],"affected":[198],"noise.":[201],"error":[204,224],"energy":[205],"calculated":[206],"signals":[213,277],"was":[214],"lower":[215],"factor":[218,238,250,263],"1.22":[220],"imCPCC,":[235,247],"2.87":[240],"6.69":[252],"wPLI,":[259],"4.72":[265],"wPLI.":[272],"Analysis":[273],"shows":[278],"ability":[280],"detect":[286,292],"P300":[288],"response":[289],"decrease":[294],"dynamic":[296],"due":[298],"desynchronization":[300],"blockage":[302],"mu-rhythms.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}