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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Autores principales: Sina Shirinpour, Nicholas Hananeia, James Rosado, Harry Tran, Christos Galanis, Andreas Vlachos, Peter Jedlicka, Gillian Queisser, Alexander Opitz
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/c00d76e3d22541688b20d7db17549401
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spelling oai:doaj.org-article:c00d76e3d22541688b20d7db175494012021-11-20T04:58:26ZMulti-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation1935-861X10.1016/j.brs.2021.09.004https://doaj.org/article/c00d76e3d22541688b20d7db175494012021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1935861X21002345https://doaj.org/toc/1935-861XBackground: 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.Sina ShirinpourNicholas HananeiaJames RosadoHarry TranChristos GalanisAndreas VlachosPeter JedlickaGillian QueisserAlexander OpitzElsevierarticleTranscranial magnetic stimulationElectric field simulationNeuron compartmental modelingCalcium simulationThree-dimensional reconstructionsSynaptic plasticityNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Stimulation, Vol 14, Iss 6, Pp 1470-1482 (2021)
institution DOAJ
collection DOAJ
language EN
topic Transcranial magnetic stimulation
Electric field simulation
Neuron compartmental modeling
Calcium simulation
Three-dimensional reconstructions
Synaptic plasticity
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Transcranial magnetic stimulation
Electric field simulation
Neuron compartmental modeling
Calcium simulation
Three-dimensional reconstructions
Synaptic plasticity
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
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
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.
format article
author Sina Shirinpour
Nicholas Hananeia
James Rosado
Harry Tran
Christos Galanis
Andreas Vlachos
Peter Jedlicka
Gillian Queisser
Alexander Opitz
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
publishDate 2021
url https://doaj.org/article/c00d76e3d22541688b20d7db17549401
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