Low-frequency renal sympathetic nerve activity, arterial BP, stationary “1/f noise,” and the baroreflex

Author:

Burgess Don E.12,Zimmerman Tabitha A.1,Wise Marshall T.1,Li Sheng-Gang2,Randall David C.23,Brown David R.3

Affiliation:

1. Department of Chemistry and Physics, Asbury College, Wilmore 40390-1198;

2. Department of Physiology, University of Kentucky College of Medicine, Lexington 40536-0084; and

3. Center for Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506-0070

Abstract

The object of this study is to quantify the very low frequency (i.e., <0.1 Hz) interactions between renal sympathetic nerve activity (SNA) and arterial blood pressure (ABP). Six rats were instrumented for chronic recordings of SNA and ABP. Data were collected 24 h after surgery at 10 kHz for 2–5 h and subsequently compressed to a 1-kHz signal. The power spectra and ordinary coherence were calculated from data epochs up to 1 h in length. The very low frequency spectra for both variables were fitted to a constant times f −β. The peak magnitude squared of the coherence near 0.4 Hz was 0.82 ± 0.08, but the apparent linear coherence fell off quickly at lower frequencies so that it was close to zero for frequencies <0.1 Hz. Moreover, at these low frequencies β, as computed by a coarse grain spectral analysis, was significantly ( P < 0.01) different for SNA (0.66 ± 0.12) and ABP (1.12 ± 0.14). Assuming that SNA and ABP are stationary time series, the results of our classical spectral analysis would indicate that SNA and ABP are not linearly correlated at frequencies with a period more than ∼10 s. Accordingly, we tested for stationarity by computing the spectral coherence and found that SNA and ABP are not stationary “1/ f noise” within the frequency range from 0.02 to 2.0 Hz. Rather the SNA exerts control over the cardiovascular system through intermittent bursts of activity. Such intermittent behavior can be modeled by nonlinear dynamics.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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