Validation of a parameterized, open-source model of nerve stimulation.
Validation of a parameterized, open-source model of nerve stimulation.
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DOI：
10.1088/1741-2552/ac1983
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发表时间：
2021-08-11
影响因子：
4
通讯作者：
中科院分区：
文献类型：
--
作者：
周围神经刺激是一种有效的治疗各种神经系统疾病。所使用的激活方法和刺激参数影响治疗的功效，这强调了对建模这种行为的工具的需求。神经刺激的计算建模已被证明是用于估计刺激阈值、优化电极设计和探索先前未经测试的刺激方法的有用工具。尽管这些工具很有用，但它们需要访问并熟悉几个专门的软件。将计算建模过程简化和精简为一个应用程序，这将大大提高可访问性。我们开发了一个开源的参数化模型，具有简单的在线用户界面，允许用户调整多达36个不同的参数（nervestimlab.utdallas.edu）。该模型准确地预测了文献中报道的神经和电极组合的纤维激活阈值。此外，它复制了刺激方法之间的特征差异，例如单极刺激的阈值低于三极刺激。该模型预测，双相和双相波形之间的阈值差异（一种充分表征的现象）在双极电极刺激期间不存在。在大鼠坐骨神经的体内测试验证了这一预测，这是以前没有报道过的。与以前的实验相比，该模型的准确性，以及易于使用和可访问性，以生成可测试的假设，表明该软件可以代表一个有用的工具，用于各种神经刺激应用。
Peripheral nerve stimulation is an effective treatment for various neurological disorders. The method of activation and stimulation parameters used impact the efficacy of the therapy, which emphasizes the need for tools to model this behavior. Computational modeling of nerve stimulation has proven to be a useful tool for estimating stimulation thresholds, optimizing electrode design, and exploring previously untested stimulation methods. Despite their utility, these tools require access to and familiarity with several pieces of specialized software. To simplify and streamline the computational modelling process into one application, which would increase accessibility significantly. We developed an open-source, parameterized model with a simple online user interface that allows user to adjust up to 36 different parameters (https://nervestimlab.utdallas.edu). The model accurately predicts fiber activation thresholds for nerve and electrode combinations reported in literature. Additionally, it replicates characteristic differences between stimulation methods, such as lower thresholds with monopolar stimulation as compared to tripolar stimulation. The model predicted that the difference in threshold between monophasic and biphasic waveforms, a well-characterized phenomenon, is not present during stimulation with bipolar electrodes. In vivo testing on the rat sciatic nerve validated this prediction, which has not been previously reported. The accuracy of the model when compared to previous experiments, as well as the ease of use and accessibility to generate testable hypotheses, indicate that this software may represent a useful tool for a variety of nerve stimulation applications.
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DOI：
10.1111/ner.12706
发表时间：
2018-04
期刊：
Neuromodulation : journal of the International Neuromodulation Society
影响因子：
--
作者：
Mourdoukoutas AP;Truong DQ;Adair DK;Simon BJ;Bikson M
通讯作者：
Bikson M
影响因子：
3.2
作者：
Pelot NA;Thio BJ;Grill WM
通讯作者：
Grill WM
影响因子：
4
作者：
Jensen, Ralph J.;Rizzo, Joseph F., III
通讯作者：
Rizzo, Joseph F., III
影响因子：
1.2
作者：
Gaines, Jessica L.;Finn, Kathleen E.;Polasek, Katharine H.
通讯作者：
Polasek, Katharine H.
影响因子：
3.7
作者：
Bucksot, Jesse E.;Wells, Andrew J.;Hays, Seth A.
通讯作者：
Hays, Seth A.