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...

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Autores:
Orjuela Cañón, Alvaro D.
Cerquera, Alexander
Freund, Jan A.
Serdá, Gabriel
Ravelo García, Antonio G.
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1489
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1489
https://doi.org/10.1016/j.cmpb.2019.105235
Palabra clave:
Apnea del sueño
Neurofisiología
Sleep apnea syndromes
Neurophysiology
Continuous positive air pressure
Brain-heart network
Physiological coupling
Presión atmosférica positiva continua
Red cerebro-corazón
Acoplamiento fisiológico
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary: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.