Abstract:This essay covers several aspects of the autonomic control of the heart, all relevant to cardiovascular pathophysiology with a direct impact on clinical outcomes. Ischemic heart disease, heart failure, channelopathies, and life-threatening arrhythmias are in the picture. Beginning with an overview on some of the events that marked the oscillations in the medical interest for the autonomic nervous system, our text explores specific areas, including experimental and clinical work focused on understanding the dif… Show more
“…Indeed, the 2UV% was significantly higher in POST than PRE and this finding is compatible with a more active vagal control. Remarkably, changes of HRV markers occurred in absence of modifications of µ, thus supporting their full link with variations of the state of the autonomic nervous system (Zaza and Lombardi, 2001;Bauer et al, 2017;Boyett et al, 2019;La Rovere et al, 2020). Modifications of the autonomic control depend on type, duration, and intensity of exercise (Stanley et al, 2013;Michael et al, 2017).…”
Section: Post Symbolic Markers Are Significantly Different From Pre Smentioning
confidence: 69%
“…Despite the small magnitude of the RR changes, the percentage of highly variable RR patterns (i.e., 2UV%) significantly raised during PLATEAU compared to PRE sequences, thus suggesting a remarkable vagal modulation. The dependence of σ 2 and HFa power on μ ( Boyett et al, 2019 ), affecting mainly the HRV markers expressed in absolute units ( Zaza and Lombardi, 2001 ; La Rovere et al, 2020 ), might have prevented the full comprehension of the relevance of the vagal control during PLATEAU, thus stressing the limits of time and frequency domain markers in this context. Conversely, since symbolic markers are normalized by definition between 0 and 100, they are not sensible to this bias ( Zaza and Lombardi, 2001 ; La Rovere et al, 2020 ).…”
Cardiac autonomic control is commonly assessed via the analysis of fluctuations of the temporal distance between two consecutive R-waves (RR). Cardiac regulation assessment following high intensity physical exercise is difficult due to RR non-stationarities. The very short epoch following maximal sprint exercise when RR remains close to its lowest value, i.e., the PLATEAU, provides the opportunity to evaluate cardiac regulation from stationary RR sequences. The aim of the study is to evaluate cardiac autonomic control during PLATEAU phase following 60-m maximal sprint and compare the results to those derived from sequences featuring the same length as the PLATEAU and derived from pre-exercise and post-exercise periods. These sequences were referred to as PRE and POST sequences. RR series were recorded in 21 subjects (age: 24.9 ± 5.1 years, 15 men and six women). We applied a symbolic approach due to its ability to deal with very short RR sequences. The symbolic approach classified patterns formed by three RRs according to the sign and number of RR variations. Symbolic markers were compared to more classical time and frequency domain indexes. Comparison was extended to simulated signals to explicitly evaluate the suitability of methods to deal with short variability series. A surrogate test was applied to check the null hypothesis of random fluctuations. Over simulated data symbolic analysis was able to separate dynamics with different spectral profiles provided that the frame length was longer than 10 cardiac beats. Over real data the surrogate test indicated the presence of determinism in PRE, PLATEAU, and POST sequences. We found that the rate of patterns with two variations with unlike sign increased during PLATEAU and in POST sequences and the frequency of patterns with no variations remained unchanged during PLATEAU and decreased in POST compared to PRE sequences. Results indicated a sustained sympathetic control along with an early vagal reactivation during PLATEAU and a shift of the sympathovagal balance toward vagal predominance in POST compared to PRE sequences. Time and frequency domains markers were less powerful because they were dominated by the dramatic decrease of RR variance during PLATEAU.
“…Indeed, the 2UV% was significantly higher in POST than PRE and this finding is compatible with a more active vagal control. Remarkably, changes of HRV markers occurred in absence of modifications of µ, thus supporting their full link with variations of the state of the autonomic nervous system (Zaza and Lombardi, 2001;Bauer et al, 2017;Boyett et al, 2019;La Rovere et al, 2020). Modifications of the autonomic control depend on type, duration, and intensity of exercise (Stanley et al, 2013;Michael et al, 2017).…”
Section: Post Symbolic Markers Are Significantly Different From Pre Smentioning
confidence: 69%
“…Despite the small magnitude of the RR changes, the percentage of highly variable RR patterns (i.e., 2UV%) significantly raised during PLATEAU compared to PRE sequences, thus suggesting a remarkable vagal modulation. The dependence of σ 2 and HFa power on μ ( Boyett et al, 2019 ), affecting mainly the HRV markers expressed in absolute units ( Zaza and Lombardi, 2001 ; La Rovere et al, 2020 ), might have prevented the full comprehension of the relevance of the vagal control during PLATEAU, thus stressing the limits of time and frequency domain markers in this context. Conversely, since symbolic markers are normalized by definition between 0 and 100, they are not sensible to this bias ( Zaza and Lombardi, 2001 ; La Rovere et al, 2020 ).…”
Cardiac autonomic control is commonly assessed via the analysis of fluctuations of the temporal distance between two consecutive R-waves (RR). Cardiac regulation assessment following high intensity physical exercise is difficult due to RR non-stationarities. The very short epoch following maximal sprint exercise when RR remains close to its lowest value, i.e., the PLATEAU, provides the opportunity to evaluate cardiac regulation from stationary RR sequences. The aim of the study is to evaluate cardiac autonomic control during PLATEAU phase following 60-m maximal sprint and compare the results to those derived from sequences featuring the same length as the PLATEAU and derived from pre-exercise and post-exercise periods. These sequences were referred to as PRE and POST sequences. RR series were recorded in 21 subjects (age: 24.9 ± 5.1 years, 15 men and six women). We applied a symbolic approach due to its ability to deal with very short RR sequences. The symbolic approach classified patterns formed by three RRs according to the sign and number of RR variations. Symbolic markers were compared to more classical time and frequency domain indexes. Comparison was extended to simulated signals to explicitly evaluate the suitability of methods to deal with short variability series. A surrogate test was applied to check the null hypothesis of random fluctuations. Over simulated data symbolic analysis was able to separate dynamics with different spectral profiles provided that the frame length was longer than 10 cardiac beats. Over real data the surrogate test indicated the presence of determinism in PRE, PLATEAU, and POST sequences. We found that the rate of patterns with two variations with unlike sign increased during PLATEAU and in POST sequences and the frequency of patterns with no variations remained unchanged during PLATEAU and decreased in POST compared to PRE sequences. Results indicated a sustained sympathetic control along with an early vagal reactivation during PLATEAU and a shift of the sympathovagal balance toward vagal predominance in POST compared to PRE sequences. Time and frequency domains markers were less powerful because they were dominated by the dramatic decrease of RR variance during PLATEAU.
“…The issue of estimating the complexity of QT variability is relevant because it was suggested that a limited complexity of the QT variability might lessen the arrhythmic risk [9,10]. In the present study we hypothesize that, despite the decrease of the RR variability irregularity during sympathetic activation, QT variability complexity remains high and this behavior is owing to the increase of the complexity of the neural actions genuinely modifying QT [11].…”
The fluctuations of the duration of the electrical activity of the heart, measured as the time distance between Q-wave onset and T-wave end (QT), is under autonomic control. We studied the complexity of the QT variability regulation via the computation of sample entropy of QT variability during sympathetic activation induced by graded head-up tilt. Sample entropy was computed over the original QT series and after factorizing it into partial processes describing QT variability related to heart period, measured as the time interval between consecutive R-wave peaks (RR), linked to respiration (R) and unrelated to RR and R. We found that QT variability complexity is high and does not vary with the intensity of the stimulus. This result was the consequence of a non-significant tendency of the complexity of the QT variability related to RR to decrease and a significant raise of the complexity of the QT variability unrelated to RR and R with the magnitude of the orthostatic challenge. We suggest that the sample entropy of the QT variability unrelated to RR and R could quantify the increased heterogeneity of the neural inputs genuinely modulating QT during a sympathetic arousal.
“…is condition is quite common for older people, but its prevalence can vary for different groups, with older community dwellers having the lowest rate, long-term care residents having the highest, and hospitalized older adults falling in between [11]. e evolution of cardiovascular control with age via several HRV markers has been reported extensively in the literature [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…Several HRV indices have been used to assess the variation of ANS modulations, for example, systolic arterial pressure, Shannon entropy, low-frequency power (LF), high-frequency power (HF), and LF/HF ratio [12][13][14][15]. Since the ANS is characterized by a dynamic balance between the PNS and the SNS activities-which originate via multiple HRV regulatory mechanisms, several indices of HRV can thus be used to monitor the ANS modulations.…”
Objective. This study aims to investigate an association between body postures and autonomic nervous system (ANS) responses through analysis of short-term heart rate variability (HRV) data obtained through electrocardiography. Methods. Forty older individuals were recruited to form the sample. HRV measurements were taken in three positions—sitting, supine, and standing—and compared. Results. Results demonstrated statistically significant differences in the HRV parameters used to examine the parasympathetic nervous system (PNS) and the sympathetic nervous system (SNS), specifically in the measurements obtained from the sitting position and the supine position (
P
< 0.001 for PNS and
P
= 0.011 for SNS). The differences in these parameters were, however, negligible between the sitting and the standing positions. Moreover, the ANS responses obtained in the sitting position were strongly and positively correlated with those in the standing position (r = 0.854 for PNS and r = 0.794 for SNS). These results suggested that the PNS and SNS parameters obtained while sitting were likely to be affected by orthostatic hypotension in much the same way as those in the standing position, as compared to the supine position. Conclusions. As such, sitting may not be the best position for older individuals in the assessment of their autonomic responses, whereas the supine position is recommended as the baseline posture in the old-age population. These findings are useful for future research in clinical settings that require accuracy in the ANS responses as determined by the HRV measurements.
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