Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields.
Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields.
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DOI：
10.1016/j.neuroimage.2013.12.002
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发表时间：
2014-04-01
期刊：
影响因子：
5.7
通讯作者：
Pascual-Leone A
中科院分区：
文献类型：
--
作者：
Ruffini G;Fox MD;Ripolles O;Miranda PC;Pascual-Leone A
最近，使用几个相对较小的电极的多焦点经颅电流刺激（tCS）装置已被用来实现对特定皮质目标的更多焦点刺激。然而，人们越来越认识到，神经和精神疾病的许多行为表现不仅仅是某一孤立大脑区域异常的结果，而且代表了大脑网络的改变。在本文中，我们描述了一种优化多焦点 tCS 配置的方法，用于刺激以空间扩展的皮质目标为代表的大脑网络。我们展示了如何基于 fMRI、PET、EEG 或其他指定皮质表面上兴奋性、抑制性或中性刺激的目标图以及最大电极数量的约束的数据，使用最佳电流和电极位置生成解决方案。这里描述的方法依赖于使用真实头部的五层有限元模型对多焦点 tCS 电场（包括垂直于皮质边界和与皮质边界相切的分量）的快速计算。基于电流刺激的效果是由于电场与细长皮质神经元群体的相互作用而产生的一阶效应的假设，有人认为 tCS 刺激的优化问题可以根据垂直于皮质表面的电场分量来定义。使用约束最小二乘法找到解决方案来优化电流强度，同时使用遗传算法选择电极数量及其位置。对于直流 tCS (tDCS) 应用，我们使用提供 8 个小型 Ag/AgCl 刺激电极的可用 tCS 系统提供了该技术的一些示例。我们展示了使用 rs-fcMRI 和 PET 数据定义的局部和空间扩展目标的方法，以及中风和抑郁症的临床应用。最后，我们将这些想法扩展到更通用的刺激方案，例如交流 tCS (tACS)。
Recently, multifocal transcranial current stimulation (tCS) devices using several relatively small electrodes have been used to achieve more focal stimulation of specific cortical targets. However, it is becoming increasingly recognized that many behavioral manifestations of neurological and psychiatric disease are not solely the result of abnormality in one isolated brain region but represent alterations in brain networks. In this paper we describe a method for optimizing the configuration of multifocal tCS for stimulation of brain networks, represented by spatially extended cortical targets. We show how, based on fMRI, PET, EEG or other data specifying a target map on the cortical surface for excitatory, inhibitory or neutral stimulation and a constraint of the maximal number of electrodes, a solution can be produced with the optimal currents and locations of the electrodes. The method described here relies on a fast calculation of multifocal tCS electric fields (including components normal and tangential to the cortical boundaries) using a five layer finite element model of a realistic head. Based on the hypothesis that the effects of current stimulation are to first order due to the interaction of electric fields with populations of elongated cortical neurons, it is argued that the optimization problem for tCS stimulation can be defined in terms of the component of the electric field normal to the cortical surface. Solutions are found using constrained least squares to optimize current intensities, while electrode number and their locations are selected using a genetic algorithm. For direct current tCS (tDCS) applications, we provide some examples of this technique using an available tCS system providing 8 small Ag/AgCl stimulation electrodes. We demonstrate the approach both for localized and spatially extended targets defined using rs-fcMRI and PET data, with clinical applications in stroke and depression. Finally, we extend these ideas to more general stimulation protocols, such as alternating current tCS (tACS).
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影响因子：
6.8
作者：
Chib VS;Yun K;Takahashi H;Shimojo S
通讯作者：
Shimojo S
DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.7
作者：
Fox MD;Liu H;Pascual-Leone A
通讯作者：
Pascual-Leone A
影响因子：
2.9
作者：
Antal A;Paulus W
通讯作者：
Paulus W
影响因子：
3.3
作者：
Drevets, Wayne C.;Savitz, Jonathan
通讯作者：
Savitz, Jonathan