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CRCNS: US-Spain Research Proposal: Computational Modeling of PNS Stimulation

CRCNS：美国-西班牙研究提案：PNS 刺激的计算模型

基本信息

批准号：
10163843
负责人：
GIANLUCA LAZZI
金额：
$ 28.28万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10163843
关键词：
3-Dimensional Acute Address Anatomy Axon Charge Chronic Communities Computer Assisted Computer Models Computer software Computing Methodologies Coupled Development Dissection Drug or chemical Tissue Distribution Effectiveness Electrodes Electromagnetic Fields Electromagnetics Engineering Frequencies Generations Geometry Goals Histologic Histology Human body Implant International Link Magnetism Methods Modeling Nerve Nerve Fibers Neurons Pattern Peripheral Peripheral Nerves Phase Property Rattus Rehabilitation device Research Proposals Resolution Safety Sampling Software Framework Spain Structure System Time Tissue Model Tissues Vagus nerve structure Validation axon injury base computational platform computer framework computerized tools density design dielectric property electric impedance improved in vivo multi-scale modeling reconstruction relating to nervous system response safety assessment sciatic nerve three-dimensional modeling tool

项目摘要

The goal of the proposed effort is to develop and make available to the scientific community a modular, integrated, multiscale computational modeling framework that will allow the user to design safe and effective peripheral neurostimulators. The multiscale computational framework is based on the seamless integration of multiple computational modules/platforms particularly suited for integration: (a) a multi- resolution, frequency-domain, large-scale electromagnetic field modeling platform based upon our Admittance/Impedance Method (AM/IM) for the prediction of fields and currents induced in the neural tissue by arbitrary neurostimulators; (b) micron-resolution computational models of the bulk electrical and magnetic properties of axons and their excitation in peripheral nerve models of mammalians using NEURON software, coupled in space and time to the Admittance/Impedance Method; (c) a computational tool for the estimation of direct, electrically or magnetically-induced, tissue and neural damage due to arbitrary, user-defined, peripheral neurostimulators and waveforms and for the estimation of activity- based early axonal damage (EAD) based on correlation with experimentally observed damage in chronically implanted neurostimulators. The development of the proposed modules will provide the most complete predictive software framework available to assess acute and activity-based safety of peripheral neurostimulators due to parameters including electrode geometric::al features, charge density, charge per phase, frequency of stimulation and thermal increase. To the best of our knowledge, there is no computational method readily available that addresses both the effectiveness of the neurostimulator (modeling of the excitation in peripheral nerve models due to arbitrary electrode geometries and waveforms) and the safety of the neurostimulator both at the large-scale (electromagnetic tissue models of the human body based on high-resolution, dielectric properties- based, discretized computational models) and at micron-resolution (neural level). The proposed effort will consists of a) generation of computational models of peripheral nerves; b) development of the computational modules and platform; and c) experimental verification of the predictive capabilities of the computational models and platform.

这项计划的目标是开发并向科学界提供一种模块化的、