Sadashivaiah Vijay, Sacré Pierre, Guan Yun, Anderson William S, Sarma Sridevi V
Institute for Computational Medicine, Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Department of Anesthesiology/Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
J Comput Neurosci. 2018 Dec;45(3):193-206. doi: 10.1007/s10827-018-0703-y. Epub 2018 Nov 15.
Electrical stimulation of nerve fibers is used as a therapeutic tool to treat neurophysiological disorders. Despite efforts to model the effects of stimulation, its underlying mechanisms remain unclear. Current mechanistic models quantify the effects that the electrical field produces near the fiber but do not capture interactions between action potentials (APs) initiated by stimulus and APs initiated by underlying physiological activity. In this study, we aim to quantify the effects of stimulation frequency and fiber diameter on AP interactions involving collisions and loss of excitability. We constructed a mechanistic model of a myelinated nerve fiber receiving two inputs: the underlying physiological activity at the terminal end of the fiber, and an external stimulus applied to the middle of the fiber. We define conduction reliability as the percentage of physiological APs that make it to the somatic end of the nerve fiber. At low input frequencies, conduction reliability is greater than 95% and decreases with increasing frequency due to an increase in AP interactions. Conduction reliability is less sensitive to fiber diameter and only decreases slightly with increasing fiber diameter. Finally, both the number and type of AP interactions significantly vary with both input frequencies and fiber diameter. Modeling the interactions between APs initiated by stimulus and APs initiated by underlying physiological activity in a nerve fiber opens opportunities towards understanding mechanisms of electrical stimulation therapies.
神经纤维的电刺激被用作治疗神经生理紊乱的一种治疗工具。尽管人们努力对刺激的效果进行建模,但其潜在机制仍不清楚。当前的机制模型量化了电场在纤维附近产生的效应,但没有捕捉到由刺激引发的动作电位(APs)与由潜在生理活动引发的动作电位之间的相互作用。在本研究中,我们旨在量化刺激频率和纤维直径对涉及碰撞和兴奋性丧失的动作电位相互作用的影响。我们构建了一个有髓神经纤维的机制模型,该模型接收两种输入:纤维末端的潜在生理活动,以及施加到纤维中部的外部刺激。我们将传导可靠性定义为到达神经纤维躯体末端的生理动作电位的百分比。在低输入频率下,传导可靠性大于95%,并且由于动作电位相互作用的增加而随着频率的增加而降低。传导可靠性对纤维直径不太敏感,并且仅随着纤维直径的增加而略有降低。最后,动作电位相互作用的数量和类型都随输入频率和纤维直径而显著变化。对神经纤维中由刺激引发的动作电位与由潜在生理活动引发的动作电位之间的相互作用进行建模,为理解电刺激疗法的机制带来了机遇。