Dataset Information
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation.
Ontology highlight
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 morphological reconstructions, couples them to the external electric fields induced by TMS, and simulates the cellular and subcellular responses of single-pulse and repetitive TMS.Results
We provide examples showing some of the capabilities of the toolbox.Conclusion
NeMo-TMS toolbox allows researchers a previously not available level of detail and precision in realistically modeling the physical and physiological effects of TMS.
SUBMITTER: Shirinpour S
PROVIDER: S-EPMC8608742 | biostudies-literature | 2021 Nov-Dec
REPOSITORIES: biostudies-literature
Publications
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation.
Brain stimulation 20210922 6
<h4>Background</h4>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 ...[more]