Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality
Connectivity between physiological networks is an issue of particular importance for understanding the complex interaction brain-heart. In the present study, this interaction was analyzed in polysomnography recordings of 28 patients diagnosed with obstructive sleep apnea (OSA) and compared with a gr...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23767
- Acceso en línea:
- https://doi.org/10.1016/j.cmpb.2019.105235
https://repository.urosario.edu.co/handle/10336/23767
- Palabra clave:
- Atmospheric pressure
Electroencephalography
Electrophysiology
Patient monitoring
Patient treatment
Sleep research
Statistical tests
Air pressures
Brain connectivity
Cardiac activity
Granger Causality
Heart rate variability
Lower frequencies
Obstructive sleep apnea
Tracking effects
Heart
Adult
Aged
Article
Causality
Clinical article
Electrocardiography
Electroencephalogram
Electroencephalography
Female
Heart rate variability
Human
Male
Polysomnography
Positive end expiratory pressure
Retrospective study
Sleep disordered breathing
Theta rhythm
Brain-heart network
Continuous positive air pressure
Physiological coupling
- Rights
- License
- Abierto (Texto Completo)
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80030377600a76cbc34-9d7e-43d9-a7fe-92ada4fc4bc7-182984bde-185a-44f4-a25e-635b9cb105a1-12044a358-f785-4556-a0c5-a3778dac2354-1b12c847c-7745-4afa-8e04-5446f8331791-12020-05-26T00:05:13Z2020-05-26T00:05:13Z2020Connectivity between physiological networks is an issue of particular importance for understanding the complex interaction brain-heart. In the present study, this interaction was analyzed in polysomnography recordings of 28 patients diagnosed with obstructive sleep apnea (OSA) and compared with a group of 10 control subjects. Electroencephalography and electrocardiography signals from these polysomnography time series were characterized employing Granger causality computation to measure the directed connectivity among five brain waves and three spectral subbands of heart rate variability. Polysomnography data from OSA patients were recorded before and during a first session of continuous positive air pressure (CPAP) therapy in a split-night study. Results showed that CPAP therapy allowed the recovery of inner brain connectivities, mainly in subsystems involving the theta wave. In addition, differences between control and OSA patients were established in connections that involve lower frequency ranges of heart rate variability. This information can be potentially useful in the initial diagnosis of OSA, and determine the role of cardiac activity in sleep dynamics based on the use of three subbands of heart rate variability. © 2019 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.cmpb.2019.1052351692607https://repository.urosario.edu.co/handle/10336/23767engElsevier Ireland LtdComputer Methods and Programs in BiomedicineVol. 187Computer Methods and Programs in Biomedicine, ISSN:1692607, Vol.187,(2020)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075822713&doi=10.1016%2fj.cmpb.2019.105235&partnerID=40&md5=8129e1495027b0422eb01e0a4ac5c5d8Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAtmospheric pressureElectroencephalographyElectrophysiologyPatient monitoringPatient treatmentSleep researchStatistical testsAir pressuresBrain connectivityCardiac activityGranger CausalityHeart rate variabilityLower frequenciesObstructive sleep apneaTracking effectsHeartAdultAgedArticleCausalityClinical articleElectrocardiographyElectroencephalogramElectroencephalographyFemaleHeart rate variabilityHumanMalePolysomnographyPositive end expiratory pressureRetrospective studySleep disordered breathingTheta rhythmBrain-heart networkContinuous positive air pressurePhysiological couplingSleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causalityarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Orjuela Cañón, Alvaro DavidCerquera, AlexanderFreund, Jan A.Juliá-Serdá, GabrielRavelo-García, Antonio G.10336/23767oai:repository.urosario.edu.co:10336/237672022-05-02 07:37:14.655005https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
title |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
spellingShingle |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality Atmospheric pressure Electroencephalography Electrophysiology Patient monitoring Patient treatment Sleep research Statistical tests Air pressures Brain connectivity Cardiac activity Granger Causality Heart rate variability Lower frequencies Obstructive sleep apnea Tracking effects Heart Adult Aged Article Causality Clinical article Electrocardiography Electroencephalogram Electroencephalography Female Heart rate variability Human Male Polysomnography Positive end expiratory pressure Retrospective study Sleep disordered breathing Theta rhythm Brain-heart network Continuous positive air pressure Physiological coupling |
title_short |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
title_full |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
title_fullStr |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
title_full_unstemmed |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
title_sort |
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality |
dc.subject.keyword.spa.fl_str_mv |
Atmospheric pressure Electroencephalography Electrophysiology Patient monitoring Patient treatment Sleep research Statistical tests Air pressures Brain connectivity Cardiac activity Granger Causality Heart rate variability Lower frequencies Obstructive sleep apnea Tracking effects Heart Adult Aged Article Causality Clinical article Electrocardiography Electroencephalogram Electroencephalography Female Heart rate variability Human Male Polysomnography Positive end expiratory pressure Retrospective study Sleep disordered breathing Theta rhythm Brain-heart network Continuous positive air pressure Physiological coupling |
topic |
Atmospheric pressure Electroencephalography Electrophysiology Patient monitoring Patient treatment Sleep research Statistical tests Air pressures Brain connectivity Cardiac activity Granger Causality Heart rate variability Lower frequencies Obstructive sleep apnea Tracking effects Heart Adult Aged Article Causality Clinical article Electrocardiography Electroencephalogram Electroencephalography Female Heart rate variability Human Male Polysomnography Positive end expiratory pressure Retrospective study Sleep disordered breathing Theta rhythm Brain-heart network Continuous positive air pressure Physiological coupling |
description |
Connectivity between physiological networks is an issue of particular importance for understanding the complex interaction brain-heart. In the present study, this interaction was analyzed in polysomnography recordings of 28 patients diagnosed with obstructive sleep apnea (OSA) and compared with a group of 10 control subjects. Electroencephalography and electrocardiography signals from these polysomnography time series were characterized employing Granger causality computation to measure the directed connectivity among five brain waves and three spectral subbands of heart rate variability. Polysomnography data from OSA patients were recorded before and during a first session of continuous positive air pressure (CPAP) therapy in a split-night study. Results showed that CPAP therapy allowed the recovery of inner brain connectivities, mainly in subsystems involving the theta wave. In addition, differences between control and OSA patients were established in connections that involve lower frequency ranges of heart rate variability. This information can be potentially useful in the initial diagnosis of OSA, and determine the role of cardiac activity in sleep dynamics based on the use of three subbands of heart rate variability. © 2019 Elsevier B.V. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:05:13Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:05:13Z |
dc.date.created.spa.fl_str_mv |
2020 |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.cmpb.2019.105235 |
dc.identifier.issn.none.fl_str_mv |
1692607 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23767 |
url |
https://doi.org/10.1016/j.cmpb.2019.105235 https://repository.urosario.edu.co/handle/10336/23767 |
identifier_str_mv |
1692607 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationTitle.none.fl_str_mv |
Computer Methods and Programs in Biomedicine |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 187 |
dc.relation.ispartof.spa.fl_str_mv |
Computer Methods and Programs in Biomedicine, ISSN:1692607, Vol.187,(2020) |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075822713&doi=10.1016%2fj.cmpb.2019.105235&partnerID=40&md5=8129e1495027b0422eb01e0a4ac5c5d8 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier Ireland Ltd |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167686364528640 |