2011
DOI: 10.1152/ajpheart.00257.2010
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Respiration drives phase synchronization between blood pressure and RR interval following loss of cardiovagal baroreflex during vasovagal syncope

Abstract: Ocon AJ, Medow MS, Taneja I, Stewart JM. Respiration drives phase synchronization between blood pressure and RR interval following loss of cardiovagal baroreflex during vasovagal syncope. Am J Physiol Heart Circ Physiol 300: H527-H540, 2011. First published November 12, 2010 doi:10.1152/ajpheart.00257.2010.-Loss of the cardiovagal baroreflex (CVB), thoracic hypovolemia, and hyperpnea contribute to the nonlinear time-dependent hemodynamic instability of vasovagal syncope. We used a nonlinear phase synchronizat… Show more

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Cited by 51 publications
(53 citation statements)
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References 45 publications
(83 reference statements)
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“…Additionally, although MSNA does not completely disappear, as has been previously suggested (26,48), the disruption of the MSNA-AP relationship may represent a loss of sympathetic baroreflex control of cardiovascular regulation (15,21). This determination would be consistent with our previous findings of a loss in the cardiovagal baroreflex during faint (32).…”
Section: Discussionsupporting
confidence: 90%
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“…Additionally, although MSNA does not completely disappear, as has been previously suggested (26,48), the disruption of the MSNA-AP relationship may represent a loss of sympathetic baroreflex control of cardiovascular regulation (15,21). This determination would be consistent with our previous findings of a loss in the cardiovagal baroreflex during faint (32).…”
Section: Discussionsupporting
confidence: 90%
“…The phase synchronization index (PhSI) was analyzed using previously described methods (32). Briefly, nonlinear coupling of two autonomously oscillating signals, such as MSNA and DAP, results in phase synchronization during a period of time in which there is a nearly fixed phase difference between the signals and they are therefore oscillating at the same frequency.…”
Section: Subjectsmentioning
confidence: 99%
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“…This filtering approach also had the effect of removing variability in each time-series due to respiration and the cardiac cycle. The intrinsic phases of the filtered MAP and CBFV time series, W MAP (t) and W CBFV (t), were extracted using the Hilbert transform [23,30]. The distribution of phase differences between MAP and CBFV was then determined as: DW(t)~W MAP (t){W CBFV (t).…”
Section: Phase Synchronisation and Dynamic Cerebral Autoregulationmentioning
confidence: 99%
“…Especially the research on physiological oscillators and their mutual synchronization has a long tradition (Holst, 1937) and phase based methods for synchronization analysis have contributed a lot to this field of research (Glass, 2001;Mosekilde et al, 2002;Schiek et al, 1998;P. Tass, 1999), while the improvement of these methods still continues (Ocon et al, 2011;Wacker & Witte, 2011;Wagner et al, 2010).…”
mentioning
confidence: 99%