The coherence function measures the amount of correlation between two signals x and y as a function of the frequency, independently of their causal relationships. Therefore, the coherence function is not useful in deciding whether an open-loop relationship between x and y is set (x acts on y, but the reverse relationship is prevented) or x and y interact in a closed loop (x affects y, and vice versa). This study proposes a method based on a bivariate autoregressive model to derive the strength of the causal coupling on both arms of a closed loop. The method exploits the definition of causal coherence. After the closed-loop identification of the model coefficients, the causal coherence is calculated by switching off separately the feedback or the feedforward path, thus opening the closed loop and fixing causality. The method was tested in simulations and applied to evaluate the degree of the causal coupling between two variables known to interact in a closed loop mainly at a low frequency (LF, around 0.1 Hz) and at a high frequency (HF, at the respiratory rate): the heart period (RR interval) and systolic arterial pressure (SAP). In dogs at control, the RR interval and the SAP are highly correlated at HF. This coupling occurs in the causal direction from the RR interval to the SAP (the mechanical path), while the coupling on the reverse causal direction (the baroreflex path) is not significant, thus pointing out the importance of the direct effects of respiration on the RR interval. Total baroreceptive denervation, by opening the closed loop at the level of the influences of SAP on RR interval, does not change these results. In elderly healthy men at rest, the RR interval and SAP are highly correlated at the LF and the HF. At the HF, a significant coupling in both causal directions is found, even though closed-loop interactions are detected in few cases. At the LF, the link on the baroreflex pathway is negligible with respect to that on the reverse mechanical one. In heart transplant recipients, in which SAP variations do not cause RR interval changes as a result of the cardiac denervation, the method correctly detects a significant coupling only on the pathway from the RR interval to the SAP.
To delineate the relative roles of genetic and environmental factors on physiological variations of blood pressure and heart rate, we performed 24-hour ambulatory blood pressure monitorings with simultaneous polygraphic sleep recordings in 28 monozygotic and 16 dizygotic healthy young male twin pairs investigated in a standardized physical and social environment. Blood pressure and heart rate were measured every 10 minutes for 24 hours. A best-fit curve based on the periodogram method was used to quantify changes in blood pressure and heart rate over the 24-hour span. Surprisingly, monozygotic twins as a group tended to have higher blood pressure values than dizygotic twins, and this difference reached the level of significance for daytime systolic blood pressure (P<.005). Although environmental influences largely controlled the mean levels and characteristics of the 24-hour systolic blood pressure variations, significant genetic effects were demonstrated for the mean levels and 24-hour patterns of diastolic blood pressure and heart rate. For both diastolic blood pressure and heart rate, the genetic effects concerned largely the same characteristics of the 24-hour profiles: the 24-hour mean, the daytime mean, the value of the evening acrophase, and the value of the major acrophase. Moreover, there was a strong genetic influence for the amplitude of the 24-hour rhythm of heart rate. 1 Twin studies, based on casual blood pressure recordings, have indicated that resting blood pressure levels are more concordant among monozygotic (MZ) than dizygotic (DZ) twins. This finding suggests that a significant component of the variability in blood pressure levels is of genetic origin. 25 However, casual blood pressure measurements also partially reflect the well-known reaction to the clinical setting usually referred to as the "white coat" effect. 6 A genetic contribution for cardiovascular reactivity, studied by various environmental stressors, has been demonstrated by several investigators, 7 " 10 but estimations of the relative importance of this genetic component have been variable across studies. Thus, at the present time, the relative importance of genetic and environmental factors in controlling resting blood pressure, resting heart rate, and cardiovascular reactivity in healthy humans remains to be determined.There are several approaches for the evaluation of the inheritance of blood pressure, including familial aggregation of blood pressure in adults and children, adoption studies, and twin studies. Generally, the estimates of genetic variance derived from twin studies are Correspondence to J.-P. Degaute, MD, Hypertension Clinic, H6pital Erasme, 808, route de Lennik, B-1070 Brussels, Belgium.higher than estimates derived from other study designs. This is probably due to the greater extent of shared environment in MZ twins, which gives rise to an upwardly biased estimate of genetic variance." Nevertheless, the twin model has been used extensively in medical research for more than half a century. 12 We have p...
We report the case of a 33 year-old man presenting with fever, arthralgias, sore throat, dyspnea and chest pain. Myopericarditis was diagnosed on the basis of electrocardiogram, echocardiography and cardiac magnetic resonance imaging (MRI). The dramatic increase in ferritinemia suggested the diagnosis of adult-onset Still's disease (AOSD), which could be established according to criteria of Yamaguchi. Rapid improvement occured under corticosteroids. Myocarditis is very rare in AOSD, pericarditis being more frequent. We report herein the first description of AOSD associated myocarditis evidenced by cardiac MRI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.