Wang Boshuo, Hussain Minhaj A, Worbs Torge, Thielscher Axel, Grill Warren M, Peterchev Angel V
bioRxiv. 2025 Aug 3:2025.07.31.667968. doi: 10.1101/2025.07.31.667968.
Some computational models of neural activation by transcranial magnetic stimulation overestimate the electric field (E-field) threshold compared to in vivo measurements. A recent study proposed a statistical method to account for the influence of microscopic perturbations to the E-field. The method, however, relies on the unsubstantiated assumption that thresholds can be predicted by single pointwise samples of the E-field strength along neural cables.
We analyzed neural responses to E-field with microscopic perturbations and demonstrate via theoretical derivation and simulations that neural activation is not determined by pointwise E-field amplitude but rather by spatial integration of the E-field along the neural cable. Therefore, the influence of microscopic E-field perturbations is negligible due to the spatiotemporal filtering by the neural membrane and axoplasm.
We derive the axial and transmembrane currents in a neural cable for an imposed E-field with microscopic perturbations. We simulate neural activation thresholds of unmyelinated and myelinated axons in two stimulation scenarios and compare thresholds for E-field activation with and without perturbations.
In the theoretical derivation, the perturbation terms average out to zero on larger spatial scales indicating that they do not influence neural activation thresholds. Simulated thresholds with the E-field spatial perturbations present had negligible differences (< 3.4%) compared to those without.
Single point samples of the microscopic E-field on a neural cable cannot predict neural activation thresholds. Neural simulations should be used to determine any influence of the E-field spatial perturbations. The latter, however, are unlikely to account for the difference between experimental and simulated E-field thresholds.
与体内测量相比,一些经颅磁刺激神经激活的计算模型高估了电场(E场)阈值。最近的一项研究提出了一种统计方法来解释微观扰动对E场的影响。然而,该方法依赖于一个未经证实的假设,即阈值可以通过沿神经电缆的E场强度的单点样本进行预测。
我们分析了具有微观扰动的E场的神经反应,并通过理论推导和模拟证明,神经激活不是由逐点E场幅度决定的,而是由E场沿神经电缆的空间积分决定的。因此,由于神经膜和轴浆的时空滤波作用,微观E场扰动的影响可以忽略不计。
我们推导了在具有微观扰动的外加E场作用下神经电缆中的轴向电流和跨膜电流。我们模拟了两种刺激场景下无髓鞘和有髓鞘轴突的神经激活阈值,并比较了有无扰动时E场激活的阈值。
在理论推导中,扰动项在较大空间尺度上平均为零,这表明它们不会影响神经激活阈值。与没有E场空间扰动的模拟阈值相比,存在E场空间扰动的模拟阈值差异可忽略不计(<3.4%)。
神经电缆上微观E场的单点样本无法预测神经激活阈值。应使用神经模拟来确定E场空间扰动的任何影响。然而,后者不太可能解释实验和模拟E场阈值之间的差异。