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      Cyclical modulation of human ventricular repolarization by respiration

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          Abstract

          Background: Respiratory modulation of autonomic input to the sinus node results in cyclical modulation of heart rate, known as respiratory sinus arrhythmia (RSA). We hypothesized that the respiratory cycle may also exert cyclical modulation on ventricular repolarization, which may be separately measurable using local endocardial recordings. Methods and Results: The study included 16 subjects with normal ventricles undergoing routine clinical electrophysiological procedures for supraventricular arrhythmias. Unipolar electrograms were recorded from 10 right and 10 left ventricular endocardial sites. Breathing was voluntarily regulated at 5 fixed frequencies (6, 9, 12, 15, and 30 breaths per min) and heart rate was clamped by RV pacing. Activation-recovery intervals (ARI: a surrogate for APD) exhibited significant ( p < 0.025) cyclical variation at the respiratory frequency in all subjects; ARI shortened with inspiration and lengthened with expiration. Peak-to-peak ARI variation ranged from 0–26 ms; the spatial pattern varied with subject. Arterial blood pressure also oscillated at the respiratory frequency ( p < 0.025) and lagged behind respiration by between 1.5 s and 0.65 s from slowest to fastest breathing rates respectively. Systolic oscillation amplitude was significantly greater than diastolic (14 ± 5 vs. 8 ± 4 mm Hg ± SD, p < 0.001). Conclusions: Observations in humans with healthy ventricles using multiple left and right ventricular endocardial recordings showed that ARI action potential duration (APD) varied cyclically with respiration.

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          Most cited references43

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          Heart Rate Variability : Standards of Measurement, Physiological Interpretation, and Clinical Use

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            The enigma of Mayer waves: Facts and models.

            Mayer waves are oscillations of arterial pressure occurring spontaneously in conscious subjects at a frequency lower than respiration (approximately 0.1 Hz in humans). Mayer waves are tightly coupled with synchronous oscillations of efferent sympathetic nervous activity and are almost invariably enhanced during states of sympathetic activation. For this reason, the amplitude of these oscillations has been proposed as a surrogate measure of sympathetic activity, although in the absence of a clear knowledge of their underlying physiology. Some studies have suggested that Mayer waves result from the activity of an endogenous oscillator located either in the brainstem or in the spinal cord. Other studies, mainly based on the effects of sinoaortic baroreceptor denervation, have challenged this view. Several models of dynamic arterial pressure control have been developed to predict Mayer waves. In these models, it was anticipated that the numerous dynamic components and fixed time delays present in the baroreflex loop would result in the production of a resonant, self-sustained oscillation of arterial pressure. Recent analysis of the various transfer functions of the rat baroreceptor reflex suggests that Mayer waves are transient oscillatory responses to hemodynamic perturbations rather than true feedback oscillations. Within this frame, the amplitude of Mayer waves would be determined both by the strength of the triggering perturbations and the sensitivity of the sympathetic component of the baroreceptor reflex.
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              Hemodynamic fluctuations and baroreflex sensitivity in humans: a beat-to-beat model.

              A beat-to-beat model of the cardiovascular system is developed to study the spontaneous short-term variability in arterial blood pressure (BP) and heart rate (HR) data from humans at rest. The model consists of a set of difference equations representing the following mechanisms: 1) control of HR and peripheral resistance by the baroreflex, 2) Windkessel properties of the systemic arterial tree, 3) contractile properties of the myocardium (Starling's law and restitution), and 4) mechanical effects of respiration on BP. The model is tested by comparing power spectra and cross spectra of simulated data from the model with spectra of actual data from resting subjects. To make spectra from simulated data and from actual data tally, it must be assumed that respiratory sinus arrhythmia at rest is caused by the conversion of respiratory BP variability into HR variability by the fast, vagally mediated baroreflex. The so-called 10-s rhythm in HR and BP appears as a resonance phenomenon due to the delay in the sympathetic control loop of the baroreflex. The simulated response of the model to an imposed increase of BP is shown to correspond with the BP and HR response in patients after administration of a BP-increasing drug, such as phenylephrine. It is concluded that the model correctly describes a number of important features of the cardiovascular system. Mathematical properties of the difference-equation model are discussed.
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                Author and article information

                Journal
                Front Physiol
                Front Physiol
                Front. Physio.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                24 September 2012
                2012
                : 3
                : 379
                Affiliations
                [1] 1simpleDepartment of Mechanical Engineering, University College London London, UK
                [2] 2simpleDepartment of Cardiology, Guys and St. Thomas's Hospital and Kings College London London, UK
                [3] 3simpleDepartment of Neuroscience, Physiology and Pharmacology, University College London London, UK
                [4] 4simpleDivision of Cardiovascular Medicine, University of Manchester Manchester, UK
                [5] 5simpleBiological Physics Group, University of Manchester Manchester, UK
                [6] 6simpleExperimental Cardiology Group, Academic Medical Center Amsterdam, Netherlands
                [7] 7simpleNeurocardiology Unit, University College London Hospitals London, UK
                Author notes

                Edited by: Tobias Opthof, Academic Medical Center, Netherlands

                Reviewed by: Flavia Ravelli, University of Trento, Italy; Kanigula Mubagwa, Kuleuven, Belgium

                *Correspondence: Peter Taggart, Neurocardiology Unit, The Heart Hospital, University College London, 16-18 Westmoreland Street, London, W1G 8PH, UK. e-mail: peter.taggart@ 123456uclh.nhs.uk
                Ben Hanson, Department of Mechanical Engineering, University College London, London, UK. e-mail: b.hanson@ 123456ucl.ac.uk

                This article was submitted to Frontiers in Cardiac Electrophysiology, a specialty of Frontiers in Physiology

                Article
                10.3389/fphys.2012.00379
                3457072
                23055983
                57798fb6-8cfe-4e70-9805-3b33426c8138
                Copyright © 2012 Hanson, Gill, Western, Gilbey, Bostock, Boyett, Zhang, Coronel and Taggart.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 01 May 2012
                : 06 September 2012
                Page count
                Figures: 7, Tables: 1, Equations: 2, References: 43, Pages: 12, Words: 7106
                Categories
                Physiology
                Original Research Article

                Anatomy & Physiology
                respiration,cardiac electrophysiology
                Anatomy & Physiology
                respiration, cardiac electrophysiology

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