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闭环自发性血压反射传递函数不适用于神经弧系统识别,但对周围弧部分准确:预测性分析。

Closed-loop spontaneous baroreflex transfer function is inappropriate for system identification of neural arc but partly accurate for peripheral arc: predictability analysis.

机构信息

Department of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 5-7-1 Fujishirodai, Suita-city, Osaka 565-8565, Japan.

出版信息

J Physiol. 2011 Apr 1;589(Pt 7):1769-90. doi: 10.1113/jphysiol.2011.203455.

Abstract

Although the dynamic characteristics of the baroreflex system have been described by baroreflex transfer functions obtained from open-loop analysis, the predictability of time-series output dynamics from input signals, which should confirm the accuracy of system identification, remains to be elucidated. Moreover, despite theoretical concerns over closed-loop system identification, the accuracy and the predictability of the closed-loop spontaneous baroreflex transfer function have not been evaluated compared with the open-loop transfer function. Using urethane and α-chloralose anaesthetized, vagotomized and aortic-denervated rabbits (n = 10), we identified open-loop baroreflex transfer functions by recording renal sympathetic nerve activity (SNA) while varying the vascularly isolated intracarotid sinus pressure (CSP) according to a binary random (white-noise) sequence (operating pressure ± 20 mmHg), and using a simplified equation to calculate closed-loop-spontaneous baroreflex transfer function while matching CSP with systemic arterial pressure (AP). Our results showed that the open-loop baroreflex transfer functions for the neural and peripheral arcs predicted the time-series SNA and AP outputs from measured CSP and SNA inputs, with r2 of 0.8 ± 0.1 and 0.8 ± 0.1, respectively. In contrast, the closed-loop-spontaneous baroreflex transfer function for the neural arc was markedly different from the open-loop transfer function (enhanced gain increase and a phase lead), and did not predict the time-series SNA dynamics (r2; 0.1 ± 0.1). However, the closed-loop-spontaneous baroreflex transfer function of the peripheral arc partially matched the open-loop transfer function in gain and phase functions, and had limited but reasonable predictability of the time-series AP dynamics (r2, 0.7 ± 0.1). A numerical simulation suggested that a noise predominantly in the neural arc under resting conditions might be a possible mechanism responsible for our findings. Furthermore, the predictabilities of the neural arc transfer functions obtained in open-loop and closed-loop conditions were validated by closed-loop pharmacological (phenylephrine and nitroprusside infusions) pressure interventions. Time-series SNA responses to drug-induced AP changes predicted by the open-loop transfer function matched closely the measured responses (r2, 0.9 ± 0.1), whereas SNA responses predicted by closed-loop-spontaneous transfer function deviated greatly and were the inverse of measured responses (r, −0.8 ± 0.2). These results indicate that although the spontaneous baroreflex transfer function obtained by closed-loop analysis has been believed to represent the neural arc function, it is inappropriate for system identification of the neural arc but is essentially appropriate for the peripheral arc under resting conditions, when compared with open-loop analysis.

摘要

尽管已经通过开环分析获得的压力感受反射传递函数描述了压力感受反射系统的动态特性,但从输入信号预测时间序列输出动态的可预测性,这应该证实系统识别的准确性,仍有待阐明。此外,尽管对闭环系统识别存在理论上的担忧,但与开环传递函数相比,闭环自发压力感受反射传递函数的准确性和可预测性尚未得到评估。使用乌拉坦和α-氯醛麻醉、迷走神经切断和主动脉去神经的兔(n=10),我们通过记录肾交感神经活动(SNA)来识别开环压力感受反射传递函数,同时根据二进制随机(白噪声)序列(操作压力±20mmHg)改变血管隔离的颈内窦压力(CSP),并使用简化方程将 CSP 与系统动脉压(AP)匹配,以计算闭环自发压力感受反射传递函数。我们的结果表明,神经和外周弧的开环压力感受反射传递函数可以预测从测量的 CSP 和 SNA 输入中得出的时间序列 SNA 和 AP 输出,其 r2 分别为 0.8±0.1 和 0.8±0.1。相比之下,神经弧的闭环自发压力感受反射传递函数与开环传递函数明显不同(增强增益增加和相位超前),并且不能预测时间序列 SNA 动力学(r2,0.1±0.1)。然而,外周弧的闭环自发压力感受反射传递函数在增益和相位功能上与开环传递函数部分匹配,并且对时间序列 AP 动力学具有有限但合理的可预测性(r2,0.7±0.1)。数值模拟表明,在静息状态下,神经弧中主要存在噪声可能是导致我们发现的可能机制。此外,通过闭环药理学(苯肾上腺素和硝普钠输注)压力干预验证了在开环和闭环条件下获得的神经弧传递函数的可预测性。药物诱导的 AP 变化对开环传递函数预测的时间序列 SNA 响应与测量响应非常吻合(r2,0.9±0.1),而闭环自发传递函数预测的 SNA 响应则大相径庭,与测量响应相反(r,-0.8±0.2)。这些结果表明,尽管闭环分析获得的自发压力感受反射传递函数被认为代表神经弧功能,但与开环分析相比,它不适合神经弧的系统识别,但在静息状态下基本上适合外周弧。

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