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Finite element method (FEM) models for translational research in non-invasive brain stimulation

Authors: Alekseichuk, Ivan; Shirinpour, Sina; Opitz, Alexander;

Finite element method (FEM) models for translational research in non-invasive brain stimulation

Abstract

Finite element method (FEM) models for non-invasive brain stimulation modeling using SimNIBS or other compatible software. The mouse and monkey models are described in detail in Alekseichuk et al., Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human, NeuroImage 2019. The Petri dish model follows a typical experimental setup for in-vitro TMS, similar to what is described in Lenz et al. Repetitive magnetic stimulation induces plasticity of inhibitory synapses, Nature Communications 2016. The following files are included: 1. Brain tissue slice in a Petri dish. 2. Normal adult male nude mouse "Digimouse" (brain volume of 0.38 cm3). 3. Normal adult male capuchin monkey "S" (brain volume of 68.31 cm3). The models include the following tissues (coded with numbers): 1. White matter volume 2. Grey matter volume 3. CSF volume 4. Skull volume 5. Soft tissues volume 8. Eyeballs volume 1001. White matter outer surfaces 1002. Grey matter outer surfaces 1003. CSF outer surfaces 1004. Skull outer surfaces 1005. Soft tissues outer surfaces 1008. Eyeballs outer surfaces With any questions, please, contact the corresponding authors of the relevant papers or aopitz@umn.edu (Alexander Opitz).

{"references": ["Alekseichuk I, Mantell K, Shirinpour S, Opitz A (2019): Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human. Neuroimage 194:136\u2013148."]}

This work was supported by NIH (R01NS109498, RF1MH117428, and R01MH118930).

Related Organizations
Keywords

FEM, TMS, TES

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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