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自主神经节阻滞对自由活动大鼠血压和心率变异性分形和谱分量的影响。

Effects of autonomic ganglion blockade on fractal and spectral components of blood pressure and heart rate variability in free-moving rats.

机构信息

Don C. Gnocchi Foundation, Milan, Italy.

出版信息

Auton Neurosci. 2013 Nov;178(1-2):44-9. doi: 10.1016/j.autneu.2013.02.008. Epub 2013 Mar 5.

DOI:10.1016/j.autneu.2013.02.008
PMID:23465355
Abstract

Fractal analysis is a promising tool for assessing autonomic influences on heart rate (HR) and blood pressure (BP) variability. The temporal spectrum of scale coefficients, α(t), was recently proposed to describe the cardiovascular fractal dynamics. Aim of our work is to evaluate sympathetic influences on cardiovascular variability analyzing α(t) and spectral powers of HR and BP after ganglionic blockade. BP was recorded in 11 rats before and after autonomic blockade by hexamethonium infusion (HEX). Systolic and diastolic BP, pulse pressure and pulse interval were derived beat-by-beat. Segments longer than 5 min were selected at baseline and HEX to estimate power spectra and α(t). Comparisons were made by paired t-test. HEX reduced all spectral components of systolic and diastolic BP, the reduction being particularly significant around the frequency of Mayer waves; it induced a reduction on α(t) coefficients at t<2s and an increase on coefficients at t>8s. HEX reduced only slower components of pulse interval power spectrum, but decreased significantly faster scale coefficients (t<8s). HEX only marginally affected pulse pressure variability. Results indicate that the sympathetic outflow contributes to BP fractal dynamics with fractional Gaussian noise (α<1) at longer scales and fractional Brownian motion (α>1) at shorter scales. Ganglionic blockade also removes a fractional Brownian motion component at shorter scales from HR dynamics. Results may be explained by the characteristic time constants between sympathetic efferent activity and cardiovascular effectors. Therefore fractal analysis may complete spectral analysis with information on the correlation structure of the data.

摘要

分形分析是评估心率(HR)和血压(BP)变异性自主影响的一种很有前途的工具。 最近提出了尺度系数的时间谱,α(t),用于描述心血管分形动力学。 我们的工作旨在通过分析自主神经阻断后 HR 和 BP 的α(t)和谱功率来评估交感神经对心血管变异性的影响。 在自主神经阻断前和自主神经阻断后(用六烃季铵输注),在 11 只大鼠中记录了 BP。 逐拍衍生收缩压和舒张压、脉压和脉搏间隔。 在基线和 HEX 下选择大于 5 分钟的段来估计功率谱和α(t)。 通过配对 t 检验进行比较。 HEX 降低了收缩压和舒张压的所有谱分量,在 Mayer 波频率附近的降低特别显著; 它导致 t<2s 时的α(t)系数降低,t>8s 时的系数增加。 HEX 仅降低了脉搏间隔功率谱的较慢分量,但显著降低了更快的尺度系数(t<8s)。 HEX 仅对脉搏压变异性有轻微影响。 结果表明,交感神经输出对 BP 分形动力学有贡献,在较长尺度上具有分数高斯噪声(α<1),在较短尺度上具有分数布朗运动(α>1)。 神经节阻断也从 HR 动力学中去除了较短尺度上的分数布朗运动分量。 结果可以用交感传出活动和心血管效应器之间的特征时间常数来解释。 因此,分形分析可以用数据的相关结构信息来补充频谱分析。

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