Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation
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 o...
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doaj-c00d76e3d22541688b20d7db175494012021-10-07T04:24:46ZengElsevierBrain Stimulation1935-861X2021-11-0114614701482Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic StimulationSina Shirinpour0Nicholas Hananeia1James Rosado2Harry Tran3Christos Galanis4Andreas Vlachos5Peter Jedlicka6Gillian Queisser7Alexander Opitz8Department of Biomedical Engineering, University of Minnesota, Minneapolis, USAFaculty of Medicine, ICAR3R - Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, GermanyDepartment of Mathematics, Temple University, Philadelphia, USADepartment of Biomedical Engineering, University of Minnesota, Minneapolis, USADepartment of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, GermanyDepartment of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany; Center Brain Links Brain Tools, University of Freiburg, Freiburg, Germany; Center for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, GermanyFaculty of Medicine, ICAR3R - Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, GermanyDepartment of Mathematics, Temple University, Philadelphia, USADepartment of Biomedical Engineering, University of Minnesota, Minneapolis, USA; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S1935861X21002345Transcranial magnetic stimulationElectric field simulationNeuron compartmental modelingCalcium simulationThree-dimensional reconstructionsSynaptic plasticity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sina Shirinpour Nicholas Hananeia James Rosado Harry Tran Christos Galanis Andreas Vlachos Peter Jedlicka Gillian Queisser Alexander Opitz |
spellingShingle |
Sina Shirinpour Nicholas Hananeia James Rosado Harry Tran Christos Galanis Andreas Vlachos Peter Jedlicka Gillian Queisser Alexander Opitz Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation Brain Stimulation Transcranial magnetic stimulation Electric field simulation Neuron compartmental modeling Calcium simulation Three-dimensional reconstructions Synaptic plasticity |
author_facet |
Sina Shirinpour Nicholas Hananeia James Rosado Harry Tran Christos Galanis Andreas Vlachos Peter Jedlicka Gillian Queisser Alexander Opitz |
author_sort |
Sina Shirinpour |
title |
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation |
title_short |
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation |
title_full |
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation |
title_fullStr |
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation |
title_full_unstemmed |
Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation |
title_sort |
multi-scale modeling toolbox for single neuron and subcellular activity under transcranial magnetic stimulation |
publisher |
Elsevier |
series |
Brain Stimulation |
issn |
1935-861X |
publishDate |
2021-11-01 |
description |
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. |
topic |
Transcranial magnetic stimulation Electric field simulation Neuron compartmental modeling Calcium simulation Three-dimensional reconstructions Synaptic plasticity |
url |
http://www.sciencedirect.com/science/article/pii/S1935861X21002345 |
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