Current approaches to model extracellular electrical neural microstimulation.
Current approaches to model extracellular electrical neural microstimulation.
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DOI：
10.3389/fncom.2014.00013
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发表时间：
2014
影响因子：
3.2
通讯作者：
Yvert B
中科院分区：
文献类型：
--
作者：
Joucla S;Glière A;Yvert B
如今，高密度微电极阵列为精确激活空间控制良好的中枢神经系统（CNS）区域提供了前所未有的可能性。然而，这需要优化刺激装置，这反过来又需要很好地理解微刺激对细胞和组织的影响。在这种情况下，建模方法提供了灵活的方式来预测的结果，电刺激的中枢神经系统激活。在本文中，我们提出了国家的最先进的建模方法，有足够的细节，让读者迅速建立神经元细胞外微刺激的数值模型。这些包括（1）由组织中的刺激产生的电势场的计算，以及（2）目标神经元对该场的响应。两个主要的方法进行了描述：首先，我们描述了经典的混合方法，结合了有限元建模的电位场与计算的神经元的响应在电缆方程框架（划分的神经元模型）。然后，我们提出了一个“整体有限元”的方法，允许同时计算的细胞外和细胞内的电位，通过代表的神经元膜与薄膜近似。这种方法以前在神经记录的框架中引入，但从未被实施以确定细胞外刺激对亚隔室水平的神经反应的影响。在这里，我们展示了一个例子，后者的建模方案可以揭示重要的子房室行为的神经膜，不能使用混合的方法来解决。本文的目标也是详细描述这些方法的实际实现，让读者可以很容易地使用标准的软件包建立新的模型。这些建模范例，根据情况，应该有助于建立更有效的高密度神经假体的中枢神经系统康复。
Nowadays, high-density microelectrode arrays provide unprecedented possibilities to precisely activate spatially well-controlled central nervous system (CNS) areas. However, this requires optimizing stimulating devices, which in turn requires a good understanding of the effects of microstimulation on cells and tissues. In this context, modeling approaches provide flexible ways to predict the outcome of electrical stimulation in terms of CNS activation. In this paper, we present state-of-the-art modeling methods with sufficient details to allow the reader to rapidly build numerical models of neuronal extracellular microstimulation. These include (1) the computation of the electrical potential field created by the stimulation in the tissue, and (2) the response of a target neuron to this field. Two main approaches are described: First we describe the classical hybrid approach that combines the finite element modeling of the potential field with the calculation of the neuron's response in a cable equation framework (compartmentalized neuron models). Then, we present a “whole finite element” approach allowing the simultaneous calculation of the extracellular and intracellular potentials, by representing the neuronal membrane with a thin-film approximation. This approach was previously introduced in the frame of neural recording, but has never been implemented to determine the effect of extracellular stimulation on the neural response at a sub-compartment level. Here, we show on an example that the latter modeling scheme can reveal important sub-compartment behavior of the neural membrane that cannot be resolved using the hybrid approach. The goal of this paper is also to describe in detail the practical implementation of these methods to allow the reader to easily build new models using standard software packages. These modeling paradigms, depending on the situation, should help build more efficient high-density neural prostheses for CNS rehabilitation.
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影响因子：
3.7
作者：
Joucla S;Branchereau P;Cattaert D;Yvert B
通讯作者：
Yvert B
影响因子：
4.6
作者：
MCNEAL, DR
通讯作者：
MCNEAL, DR
影响因子：
4.6
作者：
Lertmanorat, Z;Durand, DM
通讯作者：
Durand, DM
影响因子：
3.7
作者：
Joucla S;Yvert B
通讯作者：
Yvert B
影响因子：
4.6
作者：
ALTMAN, KW;PLONSEY, R
通讯作者：
PLONSEY, R