Power spectral and Poincaré plot characteristics  in sinus node dysfunction

Bergfeldt, Lennart; Haga, Yoshiyuki

doi:10.1152/japplphysiol.01037.2002

Cited by 46 publications

(34 citation statements)

References 36 publications

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“…Stronger support for (pathological) bimodal firing behavior comes from an analysis of HRV properties in healthy volunteers and in patients with sick sinus syndrome (SSS). 39 In agreement with our findings, the authors’ Fig. 3 shows a bimodal heart rate firing pattern seen in: (1) the R-R interval versus time plot demonstrating two discrete R-R intervals at ~1.0 and 1.6 sec.…”

Section: Discussionsupporting

confidence: 90%

From beat rate variability in induced pluripotent stem cell–derived pacemaker cells to heart rate variability in human subjects

et al. 2014

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Background We previously reported that induced Pluripotent Stem Cell-derived cardiomyocytes (iPSC-CM) manifest beat rate variability (BRV) resembling heart rate variability (HRV) in human sinoatrial node (SAN). We now hypothesized the BRV-HRV continuum originates in pacemaker cells. Objective To investigate whether cellular BRV is a source of HRV dynamics, we hypothesized three-levels of interaction among different cardiomyocyte entities: (1) single pacemaker cells, (2) networks of electrically coupled pacemaker cells and (3) in situ SAN. Methods We measured BRV/HRV properties in single pacemaker cells, iPSC-derived contracting embryoid bodies (EBs) and electrocardiograms from the same individual. Results Pronounced BRV/HRV were present at all three levels. Coefficient of variance (COV) of inter-beat intervals (IBI) and Poincaré plot SD1 and SD2 in single cells were 20x > EBs (P<0.05) and in situ heart (the latter two were similar, P>0.05). We also compared BRV magnitude among single cells, small (~5-10 cells) and larger EBs (>10 cells): BRV indices progressively increased (P<0.05) as cell number decreased. Disrupting intracellular Ca2+ handling markedly augmented BRV magnitude, revealing a unique bi-modal firing pattern, suggesting intracellular mechanisms contribute to BRV/HRV and the fractal behavior of heart rhythm. Conclusions The decreased BRV magnitude in transitioning from single cell to EB suggests HRV of hearts in situ originates from summation and integration of multiple cell-based oscillators. Hence, complex interactions among multiple pacemaker cells and intracellular Ca2+ handling determine HRV in humans and isolated cardiomyocyte networks.

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Section: Discussionsupporting

confidence: 90%

From beat rate variability in induced pluripotent stem cell–derived pacemaker cells to heart rate variability in human subjects

et al. 2014

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“…59 In the sick sinus patients, the average spread around the mean interval (quantified by Poincaré plot) is higher than in control patients. 60 Similar results were documented in dogs with sick sinus syndrome. 61 Finally, the fractal-like behavior of heart-beat intervals is closer to a white noise in sick sinus patients.…”

Section: Change In Hrv and Fractal-like Behavior Of The Heart-beat Insupporting

confidence: 68%

Impaired Signaling Intrinsic to Sinoatrial Node Pacemaker Cells Affects Heart Rate Variability during Cardiac Disease

2014

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The normal heart beat intervals are neither strictly stationary nor completely random, and continuously shift from one period to another. Decoding the ECG identifies this “hidden” information that imparts inherent complexity to the heart-beating interval time series. Loss of this complexity in cardiovascular disease is manifested as a reduction in heart rate variability (HRV) and this reduction correlates with an increase in both morbidity and mortality. Because HRV measurements are noninvasive and easy to perform, they have emerged as an important tool in cardiology. However, the identities of specific mechanisms that underline the changes in HRV that occur in cardiovascular diseases remain largely unknown. Changes in HRV have mainly been interpreted on a neural basis, ie due to changes in autonomic impulses to the heart: sympathetic activity decreases both the average heart beat interval and HRV, and parasympathetic activity increases both. It has now become clear, however, that the heart rate and HRV are also determined by intrinsic properties of the pacemaker cells that comprise the sinoatrial node, and the responses of these properties to autonomic receptor stimulation. Here we review how changes in the properties of coupled-clock mechanisms intrinsic to pacemaker cells that comprise the sinoatrial node and their impaired response to autonomic receptor stimulation are implicated in the changes of HRV observed in heart diseases.

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“…As Poincaré plot is useful to illustrate short and longterm variability in beating signals and internal dynamics of beatings, some previous studies discussed the perturbations of parasympathetic and sinoatrial node affects by the Poincaré plot [35,36]. The variation observed in the distribution of the data points of Poincaré plot would be the consequence of high parasympathetic disturbance.…”

Section: Discussionmentioning

confidence: 99%

In vitroModel for Assessing Arrhythmogenic Properties of Drugs Based on High-resolution Impedance Measurements

Nguemo

Šarić

Pfannkuche

et al. 2012

Cell Physiol Biochem

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Background/Aims: Cardiac dysfunction is one of the main cause of drug candidate failures in the preclinical and/or clinical studies and responsible for the retraction of large number of drugs from the market. The prediction of arrhythmic risk based on preclinical trials during drug development remains limited despite intensive and costly investigation. Moreover, methods for analyzing beating behavior of cardiomyocytes (CMs) in culture to diagnose arrhythmias are not well developed. Methods: In this study, we combined two emerging technologies, induced pluripotent stem (iPS) cell-derived CMs and impedance-based real-time (xCELLigence RTCA Cardio Instrument) monitoring of CM electrical activity, to assess the effect of drugs known affect cardiac activity such as isoproterenol, carbachol, terfenadine, sotalol and doxorubicin. Cells were exposed to a drug in a single dose or repeated dose scenarios and data were analyzed using RTCA Cardio software, Poincaré plot and detrended fluctuation analysis. Results: The results revealed significant changes in beating parameters of iPS-CMs induced by reference compounds. Heptanol, gap junction blocker, completely disrupted the synchronous beating pattern of iPS-CMs. Decrease of beating rate, amplitude and beat-to-beat signal variations of iPS-CMs monolayer observed in the presence of doxorubicin revealed severe abnormality detected by the system. Additionally, the irregular beating rhythms recorded in the presence of Terfenadine and Sotalol at high concentration, reflect abnormalities in cell contraction and/or relaxation which may lead to arrhythmia. Conclusions: All these results indicated that xCELLigence RTCA Cardio system combined with iPS cells, has the potential to be an attractive high-throughput tool for studying CMs during prolonged culture times and to screen potential drugs for cardiotoxic side effects.

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Power spectral and Poincaré plot characteristics in sinus node dysfunction

Cited by 46 publications

References 36 publications

From beat rate variability in induced pluripotent stem cell–derived pacemaker cells to heart rate variability in human subjects

From beat rate variability in induced pluripotent stem cell–derived pacemaker cells to heart rate variability in human subjects

Impaired Signaling Intrinsic to Sinoatrial Node Pacemaker Cells Affects Heart Rate Variability during Cardiac Disease

In vitroModel for Assessing Arrhythmogenic Properties of Drugs Based on High-resolution Impedance Measurements

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