Heart rate variability in normal and pathological sleep

Heart rate variability in normal and pathological sleep

Author Tobaldini, Eleonora Google Scholar
Nobili, Lino Google Scholar
Strada, Silvia Google Scholar
Casali, Karina Rabello Autor UNIFESP Google Scholar
Braghiroli, Alberto Google Scholar
Montano, Nicola Google Scholar
Institution Univ Milan
Osped Niguarda Ca Granda
Universidade Federal de São Paulo (UNIFESP)
Univ Fdn Cardiol
Fdn S Maugeri
St Annes Univ Hosp
Abstract Sleep is a physiological process involving different biological systems, from molecular to organ level; its integrity is essential for maintaining health and homeostasis in human beings. Although in the past sleep has been considered a state of quiet, experimental and clinical evidences suggest a noteworthy activation of different biological systems during sleep. A key role is played by the autonomic nervous system (ANS), whose modulation regulates cardiovascular functions during sleep onset and different sleep stages. Therefore, an interest on the evaluation of autonomic cardiovascular control in health and disease is growing by means of linear and non-linear heart rate variability (HRV) analyses. the application of classical tools for ANS analysis, such as HRV during physiological sleep, showed that the rapid eye movement (REM) stage is characterized by a likely sympathetic predominance associated with a vagal withdrawal, while the opposite trend is observed during non-REM sleep. More recently, the use of non-linear tools, such as entropy-derived indices, have provided new insight on the cardiac autonomic regulation, revealing for instance changes in the cardiovascular complexity during REM sleep, supporting the hypothesis of a reduced capability of the cardiovascular system to deal with stress challenges. Interestingly, different HRV tools have been applied to characterize autonomic cardiac control in different pathological conditions, from neurological sleep disorders to sleep disordered breathing (SDB). in summary, linear and non-linear analysis of HRV are reliable approaches to assess changes of autonomic cardiac modulation during sleep both in health and diseases. the use of these tools could provide important information of clinical and prognostic relevance.
Keywords autonomic nervous system
heart rate variability
non-linear analysis
obstructive sleep apnea
Language English
Sponsor European Regional Development Fund-Project FNUSA-ICRC
Grant number European Regional Development Fund-Project FNUSA-ICRC: CZ.1.05/1.1.00/02.0123
Date 2013-01-01
Published in Frontiers in Physiology. Lausanne: Frontiers Research Foundation, v. 4, 11 p., 2013.
ISSN 1664-042X (Sherpa/Romeo, impact factor)
Publisher Frontiers Research Foundation
Extent 11
Origin http://dx.doi.org/10.3389/fphys.2013.00294
Access rights Open access Open Access
Type Review
Web of Science ID WOS:000346774000291
URI http://repositorio.unifesp.br/handle/11600/35739

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