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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >A Computational Model of Functionally-distinct Cervical Vagus Nerve Fibers
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A Computational Model of Functionally-distinct Cervical Vagus Nerve Fibers

机译：功能不同的颈迷走神经纤维的计算模型

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Cervical vagus nerve stimulation (VNS) is a neuromodulation therapy used in the treatment of several chronic disorders. In order to maximize the therapeutic effectiveness of VNS, it has become increasingly important to deliver fiber-specific neurostimulation, so that undesired effects can be minimized. Assessing the activation of different vagal fiber types through electrical stimulation is therefore essential for developing fiber-selective VNS therapies. Towards this goal, we conducted in silico investigations using a generic model of functionally distinct nerve fibers and clinically relevant cuff electrodes using COMSOL. Our model is constrained by histological observations from rat cervical vagus nerves and its outputs are validated against averaged compound nerve action potentials (CNAPs) obtained from rat vagus nerve recordings. We propose this model as an effective tool to design fiber-specific stimulation protocols before testing them in experimental animals.
机译：宫颈迷走神经刺激（VNS）是一种神经调节疗法，用于治疗几种慢性疾病。为了使VNS的治疗效果最大化，传递纤维特异性神经刺激已变得越来越重要，因此可以将不良影响降至最低。因此，通过电刺激评估不同迷走神经纤维类型的激活对于开发纤维选择性VNS治疗至关重要。为了实现这一目标，我们使用功能不同的神经纤维和临床相关袖带电极的通用模型（使用COMSOL）进行了计算机模拟研究。我们的模型受到来自大鼠子宫颈迷走神经的组织学观察的约束，其输出针对从大鼠迷走神经录音获得的平均复合神经动作电位（CNAP）进行了验证。我们建议该模型作为设计纤维特异性刺激方案的有效工具，然后在实验动物中对其进行测试。

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