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首页> 外文期刊>Autonomic neuroscience: basic & clinical >Effects of autonomic ganglion blockade on fractal and spectral components of blood pressure and heart rate variability in free-moving rats
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Effects of autonomic ganglion blockade on fractal and spectral components of blood pressure and heart rate variability in free-moving rats

机译:自主神经节阻滞对自由活动大鼠血压的分形和频谱成分以及心率变异性的影响

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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 < 2. s and an increase on coefficients at t > 8. s. HEX reduced only slower components of pulse interval power spectrum, but decreased significantly faster scale coefficients (t < 8. s). 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.
机译:分形分析是用于评估自主性对心率(HR)和血压(BP)变异性影响的有前途的工具。最近提出了比例系数的时间谱α(t)来描述心血管的分形动力学。我们的工作目的是评估神经节阻断后,同情影响对心血管变异性的分析,分析α(t)以及HR和BP的频谱功率。在通过六甲铵输注(HEX)进行自主神经阻滞前后,在11只大鼠中记录了BP。逐搏导出收缩压和舒张压,脉压和脉搏间隔。在基线和十六进制选择大于5分钟的片段以估计功率谱和α(t)。通过配对t检验进行比较。十六进制降低了收缩压和舒张压的所有频谱成分,在迈耶波频率附近降低尤为明显。它导致在t <2 s时α(t)系数减小,而在t> 8 s时系数增大。十六进制仅减小脉冲间隔功率谱的较慢分量,但显着减小较快的比例系数(t <8 s)。十六进制仅略微影响脉冲压力的可变性。结果表明,交感流出有助于BP分形动力学,长尺度上的分数高斯噪声(α<1),短尺度下的分数布朗运动(α> 1)。神经节封锁还从HR动力学中以较小的比例去除了分数布朗运动分量。结果可通过交感神经传出活动与心血管效应之间的特征时间常数来解释。因此,分形分析可以利用有关数据的相关结构的信息来完成光谱分析。

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