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

Sina Shirinpour; Nicholas Hananeia; James Rosado; Harry Tran; Christos Galanis; Andreas Vlachos; Peter Jedlicka; Gillian Queisser; Alexander Opitz

doi:10.1016/j.brs.2021.09.004

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

Sina Shirinpour, Nicholas Hananeia, James Rosado, Harry Tran, Christos Galanis, Andreas Vlachos, Peter Jedlicka, Gillian Queisser, Alexander Opitz

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

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)
Pages (from-to)	1470-1482
Number of pages	13
Journal	Brain Stimulation
Volume	14
Issue number	6
Early online date	Sep 22 2021
DOIs	https://doi.org/10.1016/j.brs.2021.09.004
State	Published - Nov 1 2021

Bibliographical note

Funding Information:
We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health (R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF, 01GQ1804A to AV; BMBF, 01GQ1804B to PJ), and the von Behring R?ntgen Foundation (to PJ).

Funding Information:
We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health ( R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF , 01GQ1804A to AV; BMBF , 01GQ1804B to PJ), and the von Behring Röntgen Foundation (to PJ).

Publisher Copyright:
© 2021 The Authors

Keywords

Calcium simulation
Dendrites
Electric field simulation
Neuron compartmental modeling
Synaptic plasticity
Three-dimensional reconstructions
Transcranial magnetic stimulation

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@article{f5537eaf680442dca4c3f412ed064e86,

title = "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 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.",

keywords = "Calcium simulation, Dendrites, Electric field simulation, Neuron compartmental modeling, Synaptic plasticity, Three-dimensional reconstructions, Transcranial magnetic stimulation",

author = "Sina Shirinpour and Nicholas Hananeia and James Rosado and Harry Tran and Christos Galanis and Andreas Vlachos and Peter Jedlicka and Gillian Queisser and Alexander Opitz",

note = "Funding Information: We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health (R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF, 01GQ1804A to AV; BMBF, 01GQ1804B to PJ), and the von Behring R?ntgen Foundation (to PJ). Funding Information: We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health ( R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF , 01GQ1804A to AV; BMBF , 01GQ1804B to PJ), and the von Behring R{\"o}ntgen Foundation (to PJ). Publisher Copyright: {\textcopyright} 2021 The Authors",

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doi = "10.1016/j.brs.2021.09.004",

language = "English (US)",

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T1 - Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation

AU - Shirinpour, Sina

AU - Hananeia, Nicholas

AU - Rosado, James

AU - Tran, Harry

AU - Galanis, Christos

AU - Vlachos, Andreas

AU - Jedlicka, Peter

AU - Queisser, Gillian

AU - Opitz, Alexander

N1 - Funding Information: We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health (R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF, 01GQ1804A to AV; BMBF, 01GQ1804B to PJ), and the von Behring R?ntgen Foundation (to PJ). Funding Information: We thank Dr. Zsolt Turi for the helpful discussions and testing of the toolbox, and Swathi Anil for her help with the neuronal reconstructions and testing of the toolbox. This work was supported by the National Institutes of Health ( R01MH118930 to GQ and AO and R01NS109498 to AV and AO and RF1MH117428 to AO), Federal Ministry of Education and Research Germany (BMBF , 01GQ1804A to AV; BMBF , 01GQ1804B to PJ), and the von Behring Röntgen Foundation (to PJ). Publisher Copyright: © 2021 The Authors

PY - 2021/11/1

Y1 - 2021/11/1

N2 - 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.

AB - 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.

KW - Calcium simulation

KW - Dendrites

KW - Electric field simulation

KW - Neuron compartmental modeling

KW - Synaptic plasticity

KW - Three-dimensional reconstructions

KW - Transcranial magnetic stimulation

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SN - 1935-861X

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JO - Brain Stimulation

JF - Brain Stimulation

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ER -

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

Abstract

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Keywords

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