Department of Neurosurgery, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Department of Neurosurgery, Harvard Medical School, Boston, MA, USA.
Neuromodulation. 2020 Jul;23(5):582-593. doi: 10.1111/ner.13076. Epub 2019 Nov 27.
Burst and high-frequency spinal cord stimulation (SCS), in contrast to low-frequency stimulation (LFS, < 200 Hz), reduce neuropathic pain without the side effect of paresthesia, yet it is unknown whether these methods' mechanisms of action (MoA) overlap. We used empirically based computational models of fiber threshold accommodation to examine the three MoA.
Waveforms used in SCS are composed of cathodic, anodic, and rest phases. Empirical studies of human peripheral sensory nerve fibers show different accommodation effects occurring in each phase. Notably, larger diameter fibers accommodate more than smaller fibers. We augmented our computational axon model to replicate fiber threshold accommodation behavior for diameters from 5 to 15 μm in each phase. We used the model to predict threshold change in variations of burst, high frequency, and LFS.
The accommodation model showed that 1) inversion of larger and smaller diameter fiber thresholds produce a therapeutic window in which smaller fibers fire while larger ones do not and 2) the anodic pulses increase accommodation and perpetuate threshold inversion from burst to burst and between cathodic pulses in burst, high frequency, and variations, resulting in an amplitude "window" in which larger fibers are inactivated while smaller fibers fire. No threshold inversion was found for traditional LFS.
The model, based on empirical data, predicts that, at clinical amplitudes, burst and high-frequency SCS do not activate large-diameter fibers that produce paresthesia while driving medium-diameter fibers, likely different from LFS, which produce analgesia via different populations of dorsal horn neural circuits.
与低频刺激(<200Hz)相比,爆发式和高频脊髓刺激(SCS)可减轻神经性疼痛,而不会产生感觉异常等副作用,但目前尚不清楚这些方法的作用机制(MoA)是否重叠。我们使用纤维阈值适应的基于经验的计算模型来研究这三种 MoA。
SCS 中使用的波形由阴极、阳极和休息阶段组成。对人体周围感觉神经纤维的实证研究表明,每个阶段都存在不同的适应效果。值得注意的是,较大直径的纤维比较小的纤维适应更多。我们扩展了我们的计算轴突模型,以复制每个阶段从 5 到 15μm 直径的纤维阈值适应行为。我们使用该模型预测爆发、高频和 LFS 变化的阈值变化。
适应模型表明,1)较大和较小直径纤维阈值的反转产生了一个治疗窗口,在此窗口中小纤维会放电而大纤维不会;2)阳极脉冲会增加适应能力,并使爆发、高频和爆发之间的阴极脉冲之间的阈值反转持续下去,从而在较大纤维失活而小纤维放电的幅度“窗口”中产生刺激。传统的 LFS 没有发现阈值反转。
该模型基于经验数据预测,在临床幅度下,爆发式和高频 SCS 不会激活产生感觉异常的大直径纤维,而是驱动中直径纤维,这可能与 LFS 不同,后者通过不同的背角神经回路群体产生镇痛。