Psychiatric Clinic, Clinical Center of Serbia, Pasterova 2, Belgrade, Serbia.
Psychiatr Danub. 2011 Mar;23(1):10-20.
The stereotyped nature of the skin conductance response (SCR) waveform has recently inspired several dynamic modeling approaches to the process of SCR. The suggested models differ: (i) in the order of the linear differential equation representing the process, and (ii) the neurobiological interpretation of the system parameters. While several research groups consider the sympathetic sudomotor nerve activity as the input signal in their models of the SCR, we assume that the initial neural event and feedback regulatory mechanisms that we can comprise with our models take place in the central brain structures. Here we demonstrate a refinement of the system identification procedure with skin conductance response signal, in order to test the thesis of the central meaning of the model's parameters.
The method consists in the application of the system identification procedure in the MATLAB® software environment in analyzing the SCR. Eleven short stories have been used to elicit emotional arousal in 27 healthy participants.
The method for mathematical modeling of the SCR here proposed provides not only the best fitting with empirical SCR signals that has ever been reported, but also insight into the unique underlying control process and the hidden neural input to the SCR system. Through the system identification procedure we showed that there are two interlinked positive and a negative feedback loop which shape the SCR. The control process of SCR showed a linear and a within stimulus-type time invariant.
The findings argue in favor of the central nervous system interpretation of the parameters in the presented dynamic model of the SCR response. This encourages the idea of developing a method that could enable estimation of the central nervous system regulatory processes relying on the psychophysiological data.
皮肤电反应（SCR）波形的刻板性质最近激发了几种动态建模方法来研究 SCR 过程。所提出的模型有所不同：（i）表示该过程的线性微分方程的顺序，以及（ii）系统参数的神经生物学解释。虽然有几个研究小组认为交感神经泌汗神经活动是其 SCR 模型中的输入信号，但我们假设我们的模型中包含的初始神经事件和反馈调节机制发生在中枢脑结构中。在这里，我们展示了对皮肤电导反应信号进行系统辨识程序的改进，以检验模型参数的中枢意义的假设。
该方法包括在 MATLAB®软件环境中应用系统辨识程序来分析 SCR。11 个短篇小说被用于激发 27 名健康参与者的情绪唤醒。
这里提出的 SCR 数学建模方法不仅提供了迄今为止报道的最佳拟合经验 SCR 信号，而且深入了解了独特的潜在控制过程和 SCR 系统的隐藏神经输入。通过系统辨识程序，我们表明有两个相互关联的正反馈回路和一个负反馈回路，它们塑造了 SCR。SCR 的控制过程表现出线性和刺激内时间不变的特性。
这些发现支持了 SCR 反应的动态模型中参数的中枢神经系统解释。这鼓励了开发一种方法的想法，该方法可以根据心理生理数据来估计中枢神经系统调节过程。
