{"id":"https://openalex.org/W2291908397","doi":"https://doi.org/10.1109/cic.2015.7410988","title":"Information-theoretic assessment of cardiovascular-brain networks during sleep","display_name":"Information-theoretic assessment of cardiovascular-brain networks during sleep","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2291908397","doi":"https://doi.org/10.1109/cic.2015.7410988","mag":"2291908397"},"language":"en","primary_location":{"id":"doi:10.1109/cic.2015.7410988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7410988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036606451","display_name":"Luca Faes","orcid":"https://orcid.org/0000-0002-3271-5348"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Faes","raw_affiliation_strings":["BIOTech, University of Trento, Mattarello, TN, Italy","Bruno Kessler Foundation, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BIOTech, University of Trento, Mattarello, TN, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Bruno Kessler Foundation, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047882948","display_name":"Daniele Marinazzo","orcid":"https://orcid.org/0000-0002-9803-0122"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Daniele Marinazzo","raw_affiliation_strings":["University of Gent, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gent, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003086956","display_name":"Giandomenico Nollo","orcid":"https://orcid.org/0000-0002-9837-083X"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giandomenico Nollo","raw_affiliation_strings":["Bruno Kessler Foundation, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bruno Kessler Foundation, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","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/T10429","display_name":"EEG and Brain-Computer Interfaces","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":0.9980999827384949,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/transfer-entropy","display_name":"Transfer entropy","score":0.7603623270988464},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6782886981964111},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5566603541374207},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5561787486076355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5396803021430969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297285914421082},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.49685004353523254},{"id":"https://openalex.org/keywords/conditional-mutual-information","display_name":"Conditional mutual information","score":0.4525274336338043},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4468041956424713},{"id":"https://openalex.org/keywords/surrogate-data","display_name":"Surrogate data","score":0.43276160955429077},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4296380579471588},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.4257884919643402},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41930076479911804},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4129633605480194},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.41027095913887024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3548855781555176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3186940550804138},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.3016771674156189},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21927368640899658},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2126283347606659},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.199737548828125},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1729540228843689},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10365015268325806},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0995149314403534}],"concepts":[{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.7603623270988464},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6782886981964111},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5566603541374207},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5561787486076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5396803021430969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297285914421082},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.49685004353523254},{"id":"https://openalex.org/C124805900","wikidata":"https://www.wikidata.org/wiki/Q5159269","display_name":"Conditional mutual information","level":3,"score":0.4525274336338043},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4468041956424713},{"id":"https://openalex.org/C142806159","wikidata":"https://www.wikidata.org/wiki/Q7646876","display_name":"Surrogate data","level":3,"score":0.43276160955429077},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4296380579471588},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.4257884919643402},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41930076479911804},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4129633605480194},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.41027095913887024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3548855781555176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3186940550804138},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.3016771674156189},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21927368640899658},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2126283347606659},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.199737548828125},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1729540228843689},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10365015268325806},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0995149314403534},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cic.2015.7410988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7410988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/276525","is_oa":false,"landing_page_url":"http://hdl.handle.net/10447/276525","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326086","display_name":"Provincia Autonoma di Trento","ror":"https://ror.org/017e99q89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1749266580","https://openalex.org/W1985919420","https://openalex.org/W1990650190","https://openalex.org/W2011805513","https://openalex.org/W2023917615","https://openalex.org/W2036681456","https://openalex.org/W2041782669","https://openalex.org/W2093399582","https://openalex.org/W2115530814","https://openalex.org/W3098439442"],"related_works":["https://openalex.org/W4249697424","https://openalex.org/W2792006532","https://openalex.org/W2156553723","https://openalex.org/W2318472387","https://openalex.org/W3212925274","https://openalex.org/W1972053074","https://openalex.org/W2070922554","https://openalex.org/W2889544313","https://openalex.org/W1628532628","https://openalex.org/W2151804025"],"abstract_inverted_index":{"This":[0],"study":[1],"was":[2,121],"aimed":[3],"at":[4],"detecting":[5],"the":[6,9,13,16,30,37,46,52,56,65,127,136,175,184,190,193,204,209],"structure":[7],"of":[8,15,33,41,80,117,145,183,192,212],"physiological":[10,146],"network":[11,206],"underlying":[12],"regulation":[14,211],"cardiovascular":[17,213],"and":[18,51,61,70,87,102,119,130,170,199,214],"brain":[19,215],"systems":[20],"during":[21,217],"normal":[22],"sleep.":[23,218],"To":[24],"this":[25],"end,":[26],"we":[27],"measured":[28],"from":[29,161],"polysomnographic":[31],"recordings":[32],"10":[34],"healthy":[35],"subjects":[36],"normalized":[38],"spectral":[39],"power":[40,54],"heart":[42,162],"rate":[43],"variability":[44],"in":[45,55,78,153,203],"high":[47],"frequency":[48],"band":[49],"(HF)":[50],"EEG":[53,172],"\u03b4,":[57],"\u03b8,":[58],"\u03b1,":[59],"\u03c3,":[60],"\u03b2":[62,171],"bands.":[63],"Then,":[64],"causal":[66],"statistical":[67,115],"dependencies":[68],"within":[69],"between":[71,168],"these":[72],"six":[73],"time":[74],"series":[75],"were":[76],"assessed":[77,122],"terms":[79],"internal":[81,151],"information":[82,88,152,157,180],"(conditional":[83],"self":[84],"entropy,":[85,91],"CSE)":[86],"transfer":[89,158],"(transfer":[90],"TE)":[92],"computed":[93],"via":[94],"a":[95,103],"linear":[96,128,198],"method":[97,105,177],"exploiting":[98],"multiple":[99],"regression":[100],"models":[101],"nonlinear":[104,137,176,200],"combining":[106],"nearest":[107],"neighbour":[108],"entropy":[109],"estimation":[110],"with":[111],"dimensionality":[112],"reduction.":[113],"The":[114],"significance":[116],"CSE":[118],"TE":[120],"using":[123],"an":[124,131],"F-test":[125],"for":[126,135],"method,":[129],"empirical":[132],"randomization":[133],"test":[134],"method.":[138],"Both":[139],"approaches":[140],"consistently":[141],"detected":[142],"structured":[143],"networks":[144],"interactions,":[147],"revealing":[148],"(i)":[149],"strong":[150],"all":[154],"systems;":[155],"(ii)":[156],"directed":[159],"predominantly":[160],"to":[163,196],"brain;":[164],"(iii)":[165],"bidirectional":[166],"interactions":[167],"HF":[169],"power.":[173],"Moreover,":[174],"evidenced":[178],"higher":[179],"flowing":[181],"out":[182],"\u03b4":[185],"node.":[186],"These":[187],"results":[188],"highlight":[189],"potential":[191],"information-theoretic":[194],"framework":[195],"assess":[197],"dynamics":[201],"manifested":[202],"functional":[205],"that":[207],"underlies":[208],"autonomic":[210],"functions":[216]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
