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
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Brain stimulation. - 14, 6 (2021) , 1470-1482, ISSN: 1876-4754
- Event
-
Veröffentlichung
- (where)
-
Freiburg
- (who)
-
Universität
- (when)
-
2021
- Creator
-
Shirinpour, Sina
Hananeia, Nicholas
Rosado, James
Tran, Harry
Galanis, Christos
Vlachos, Andreas
Jedlička, Peter
Queisser, Sean Gillian
Opitz, Alexander
- DOI
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10.1016/j.brs.2021.09.004
- URN
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urn:nbn:de:bsz:25-freidok-2218531
- Rights
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Shirinpour, Sina
- Hananeia, Nicholas
- Rosado, James
- Tran, Harry
- Galanis, Christos
- Vlachos, Andreas
- Jedlička, Peter
- Queisser, Sean Gillian
- Opitz, Alexander
- Universität
Time of origin
- 2021
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