Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation.
Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation.
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DOI：
10.1088/1741-2552/abca15
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发表时间：
2021-02-11
影响因子：
4
通讯作者：
Thielscher A
中科院分区：
文献类型：
--
作者：
Saturnino GB;Madsen KH;Thielscher A
大多数优化多通道经颅电刺激(TES)产生的电场模式的方法都需要定义靶区电场的首选方向(S)。然而，这需要了解神经效应如何依赖于磁场方向，而这并不总是可用的。因此，无论场的方向如何，都可以优先优化目标(S)中的场强。然而，这导致了一个更复杂的优化问题。我们介绍并验证了一种新的优化算法，该算法在最大化聚焦的同时控制目标中的电场强度以保持定义值。它遵守安全约束，允许限制有源电极的数量，还允许多目标优化。优化算法在解的质量和计算效率上都优于朴素搜索方法。使用杏仁核作为测试案例，我们表明它允许在目标的焦点和场强之间达到合理的权衡。相比之下，简单地最大化目标中的场强会导致更大的场扩展。此外，通过在目标中保持预定义的场强，新算法允许对两个或更多区域进行平衡刺激。这种新的算法可以用于自动获得个性化的、最优的蒙太奇，用于目标区域，而不需要定义优先方向。它会自动选择在具有最大焦点刺激图案的目标(S)中达到所需场强的场方向。
Most approaches to optimize the electric field pattern generated by multichannel Transcranial Electric Stimulation (TES) require the definition of a preferred direction of the electric field in the target region(s). However, this requires knowledge about how the neural effects depend on the field direction, which is not always available. Thus, it can be preferential to optimize the field strength in the target(s), irrespective of the field direction. However, this results in a more complex optimization problem. We introduce and validate a novel optimization algorithm that maximizes focality while controlling the electric field strength in the target to maintain a defined value. It obeys the safety constraints, allows limiting the number of active electrodes and allows also for multi-target optimization. The optimization algorithm outperformed naïve search approaches in both quality of the solution and computational efficiency. Using the amygdala as test case, we show that it allows for reaching a reasonable trade-off between focality and field strength in the target. In contrast, simply maximizing the field strength in the target results in far more extended fields. In addition, by maintaining the pre-defined field strengths in the targets, the new algorithm allows for a balanced stimulation of two or more regions. The novel algorithm can be used to automatically obtain individualized, optimal montages for targeting regions without the need to define preferential directions. It will automatically select the field direction that achieves the desired field strength in the target(s) with the most focal stimulation pattern.
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影响因子：
5.7
作者：
Nielsen, Jesper D.;Madsen, Kristoffer H.;Thielscher, Axel
通讯作者：
Thielscher, Axel
影响因子：
2.1
作者：
Park, Ji-Hye;Hong, Seung Bong;Im, Chang-Hwan
通讯作者：
Im, Chang-Hwan
影响因子：
5.7
作者：
Saturnino, Guilherme Bicalho;Siebner, Hartwig Roman;Madsen, Kristoffer Hougaard
通讯作者：
Madsen, Kristoffer Hougaard
影响因子：
5.7
作者：
Puonti O;Van Leemput K;Saturnino GB;Siebner HR;Madsen KH;Thielscher A
通讯作者：
Thielscher A
影响因子：
5.7
作者：
Saturnino, Guilherme B.;Thielscher, Axel;Weise, Konstantin
通讯作者：
Weise, Konstantin