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

Brain Stimulation

Peter Jedlicka¹  Gillian Queisser²  Alexander Opitz³  Sina Shirinpour⁴  Harry Tran⁴  James Rosado⁵  Christos Galanis⁶  Andreas Vlachos⁶  Nicholas Hananeia⁷ 

[1] 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, Germany;Department of Biomedical Engineering, University of Minnesota, Minneapolis, USA;Department of Mathematics, Temple University, Philadelphia, USA;Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany;Faculty of Medicine, ICAR3R - Interdisciplinary Centre for 3Rs in Animal Research, Justus-Liebig-University, Giessen, Germany;

关键词: Transcranial magnetic stimulation;    Electric field simulation;    Neuron compartmental modeling;    Calcium simulation;    Three-dimensional reconstructions;    Synaptic plasticity;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown