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

> **NIH NIH R01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2021 · $282,785

## Abstract

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.

## Key facts

- **NIH application ID:** 10163843
- **Project number:** 5R01EB029271-03
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** GIANLUCA LAZZI
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $282,785
- **Award type:** 5
- **Project period:** 2019-09-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10163843

## Citation

> US National Institutes of Health, RePORTER application 10163843, CRCNS: US-Spain Research Proposal: Computational Modeling of  PNS Stimulation (5R01EB029271-03). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10163843. Licensed CC0.

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