A $\mu$m-Scale Computational Model of Magnetic Neural Stimulation in Multifascicular Peripheral Nerves
A $\mu$m-Scale Computational Model of Magnetic Neural Stimulation in Multifascicular Peripheral Nerves
复制标题
多束周围神经磁神经刺激的 $mu$m 规模计算模型
DOI：
10.1109/tbme.2015.2446761
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发表时间：
2015
影响因子：
4.6
通讯作者：
G. Lazzi
中科院分区：
文献类型：
--
作者：
A. K. RamRakhyani;Zachary B. Kagan;D. J. Warren;R. Normann;G. Lazzi
利用磁神经刺激进行植入式局部刺激一直是人们关注的焦点。然而，激发神经元活动所需的巨大刺激电压和能量削弱了这种兴趣。为了研究磁刺激作为一种可行方法的潜力，并提供研究新颖线圈设计的能力，从而降低刺激阈值电压和能量，需要一个模型来准确预测导致神经元刺激的磁场-组织相互作用。在这项研究中，我们提供了一个计算框架来准确估计刺激阈值，并通过体内磁刺激实验验证了该模型。为了做出这样的预测，我们开发了一个微米分辨率的大鼠坐骨神经解剖驱动计算模型，并量化了组织异质性（即束状组织、轴突分布和密度）和轴突膜电容对所得阈值的影响。采用多分辨率阻抗法，计算了神经内感应电场的时空分布，并将其应用于神经元中的Frankenhaeuser-Huxley轴突模型，模拟了膜通道的非线性机制。所建立的计算模型预测了四种不同几何参数的磁线圈设计对大鼠坐骨神经的刺激阈值在95%可信区间（实验计数= 4）内。
There has been recurring interest in using magnetic neural stimulation for implantable localized stimulation. However, the large stimulation voltages and energies necessary to evoke neuronal activity have tempered this interest. To investigate the potential of magnetic stimulation as a viable methodology and to provide the ability to investigate novel coil designs that can result in lower stimulation threshold voltages and energies, there is a need for a model that accurately predicts the magnetic field-tissue interaction that results in neuronal stimulation. In this study, we provide a computational framework to accurately estimate the stimulation threshold and have validated the model with in vivo magnetic stimulation experiments. To make such predictions, we developed a micrometer-resolution anatomically driven computational model of rat sciatic nerve and quantified the effect of tissue heterogeneity (i.e., fascicular organization, axon distribution, and density) and axonal membrane capacitance on the resulting threshold. Using the multiresolution impedance method, we computed the spatial-temporal distribution of the induced electric field in the nerve and applied this field to a Frankenhaeuser-Huxley axon model in NEURON to simulate the nonlinear mechanisms of the membrane channels. The computational model developed predicts the stimulation thresholds for four magnetic coil designs with different geometrical parameters within the 95% confidence interval (experiments count = 4) of measured in vivo stimulation thresholds for the rat sciatic nerve.
影响因子：
2.5
作者：
McIntyre, CC;Richardson, AG;Grill, WM
通讯作者：
Grill, WM