# Supplement to CRCNS US-Spain: Computational Modeling of PNS Stimulation

> **NIH NIH R01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2020 · $366,023

## Abstract

PROJECT SUMMARY / ABSTRACT
Increasing evidence suggests that electrical stimulation may be efficacious for Alzheimer's disease (AD);
however, mechanistic explanations in support of the potential effect of stimulating electric fields for the treatment
of AD are almost completely lacking. Importantly, there are currently no multiscale computational platforms and
connectomic models to use to predict the current spread in anatomically correct neural tissue and potential
electrical damage to it due to DBS electrodes. This lack of predicting capabilities significantly hinders the further
development of this technology, which is primarily subjected to empirical observations guiding the search for
answers. The goal of the proposed effort is to develop and make available to the scientific community a modular,
integrated, multiscale computational modeling framework, informed by and verified through in-vivo experimental
studies, that facilitates the design of safe and effective deep brain stimulators (DBS) for AD. This computational
platform comprises global models of the extracellular media, including multi-electrode arrays and
neurostimulators in general, as well as neuron modeling, which will provide the basis for emerging predictions of
safe CNS neurostimulation. The proposed effort leverages the computational modules and model discretization
strategies being developed in a parent R01 dedicated to the development of predcitvive multiscale computational
methods for the stimulation of the peripheral nervous system.
The proposed supplement begins the much needed development of both models and paired computational
platform toward the goal of offering to the AD research community a versatile and modular software package to
address the uncertainties associated with DBS of forniceal and hippocampal tissue. This project is the beginning
of the roadmap to develop predictive tools that can be used by the community to treat AD with DBS.

## Key facts

- **NIH application ID:** 10123755
- **Project number:** 3R01EB029271-02S1
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** GIANLUCA LAZZI
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $366,023
- **Award type:** 3
- **Project period:** 2019-09-01 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10123755

## Citation

> US National Institutes of Health, RePORTER application 10123755, Supplement to CRCNS US-Spain: Computational Modeling of PNS Stimulation (3R01EB029271-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10123755. Licensed CC0.

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