کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6004166 1579537 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effects of autonomic ganglion blockade on fractal and spectral components of blood pressure and heart rate variability in free-moving rats
ترجمه فارسی عنوان
اثرات محرک گانگلیون اتونومیک بر مولفه های فراکتال و طیفی فشار خون و تغییرات ضربان قلب در موش های آزمایشی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب سلولی و مولکولی
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Autonomic Neuroscience - Volume 178, Issues 1–2, November 2013, Pages 44-49
نویسندگان
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