Unknown

Dataset Information

Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation.


ABSTRACT:

Background

Transcranial Magnetic Stimulation (TMS) is a widely used non-invasive brain stimulation method. However, its mechanism of action and the neural response to TMS are still poorly understood. Multi-scale modeling can complement experimental research to study the subcellular neural effects of TMS. At the macroscopic level, sophisticated numerical models exist to estimate the induced electric fields. However, multi-scale computational modeling approaches to predict TMS cellular and subcellular responses, crucial to understanding TMS plasticity inducing protocols, are not available so far.

Objective

We develop an open-source multi-scale toolbox Neuron Modeling for TMS (NeMo-TMS) to address this problem.

Methods

NeMo-TMS generates accurate neuron models from morph

SUBMITTER: Shirinpour S 

PROVIDER: S-EPMC8608742 | biostudies-literature | 2021 Nov-Dec

REPOSITORIES: biostudies-literature