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.
Original language | English (US) |
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Pages (from-to) | 1470-1482 |
Number of pages | 13 |
Journal | Brain Stimulation |
Volume | 14 |
Issue number | 6 |
DOIs | |
State | Published - Nov 1 2021 |
Bibliographical note
Publisher Copyright:© 2021 The Authors
Keywords
- Calcium simulation
- Dendrites
- Electric field simulation
- Neuron compartmental modeling
- Synaptic plasticity
- Three-dimensional reconstructions
- Transcranial magnetic stimulation