Malpas S C, Ninomiya I
Department of Cardiac Physiology, National Cardiovascular Center, Osaka, Japan.
J Auton Nerv Syst. 1992 Oct;40(3):189-98. doi: 10.1016/0165-1838(92)90200-z.
We applied a computerized peak detection algorithm to recordings of synchronized sympathetic nerve discharges from anesthetized cats to retrieve information about the characteristics of renal nerve activity (RNA) during changes in baroreceptor activity. The algorithm scanned the series of RNA voltages for significant increases followed by significant decreases in a small cluster of voltage values. Once each synchronized RNA peak had been detected, its corresponding amplitude, width and peak-to-peak interval were calculated. The peak-to-peak interval periodicity showed two modes of synchronized discharge, one between 200-500 ms accounting for 47% of intervals, and a higher 20-180 ms frequency (49% of intervals). Baroreceptor stimulation decreased the occurrence of the high frequencies while increasing the probability of the lower frequency components. The overall occurrence of synchronized peaks per second fell linearly to zero with increases in blood pressure. The peak amplitude of RNA was unimodally distributed and was not affected by baroreceptor stimulation until an increase in mean arterial pressure reached a threshold (mean 142 +/- 5 mmHg) whereupon it fell quickly to zero. Sino-aortic vagal denervation did not affect the distribution of peak height. The width of synchronized discharges was also unimodal, mean 82 +/- 1 ms, and was almost unchanged during baroreflex stimulation acting in parallel with changes in the peak amplitude and decreasing at high blood pressures. Sino-aortic vagal denervation did not affect the synchronized width. There was no relationship between the periodicity and amplitude or width of synchronized discharges under all conditions. The results indicate that the periodicity and amplitude of renal synchronized discharges appear to be independent of each other and are differentially affected by baroreceptor input.
我们应用一种计算机化的峰值检测算法,对麻醉猫同步交感神经放电的记录进行分析,以获取在压力感受器活动变化期间肾神经活动(RNA)特征的相关信息。该算法扫描RNA电压序列,寻找一小簇电压值中先显著增加后显著降低的情况。一旦检测到每个同步的RNA峰值,便计算其相应的幅度、宽度和峰峰间期。峰峰间期的周期性呈现出两种同步放电模式,一种在200 - 500毫秒之间,占间期的47%,另一种频率较高,为20 - 180毫秒(占间期的49%)。压力感受器刺激减少了高频放电的发生,同时增加了低频成分出现的概率。随着血压升高,每秒同步峰值的总体出现率呈线性下降至零。RNA的峰值幅度呈单峰分布,在平均动脉压升高达到阈值(平均142±5 mmHg)之前,不受压力感受器刺激的影响,此后迅速降至零。去窦主动脉迷走神经支配不影响峰值高度的分布。同步放电的宽度也是单峰的,平均为82±1毫秒,在压力反射刺激期间,与峰值幅度的变化平行,且在高血压时降低,但几乎没有变化。去窦主动脉迷走神经支配不影响同步宽度。在所有条件下,同步放电的周期性与幅度或宽度之间均无关联。结果表明,肾同步放电的周期性和幅度似乎相互独立,且受压力感受器输入的影响不同。