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  The effect of meninges on the electric fields in TES and TMS: Numerical modeling with adaptive mesh refinement

Weise, K., Wartman, W. A., Knösche, T. R., Nummenmaa, A. R., & Makarov, S. N. (2022). The effect of meninges on the electric fields in TES and TMS: Numerical modeling with adaptive mesh refinement. Brain Stimulation, 15(3), 654-663. doi:10.1016/j.brs.2022.04.009.

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 Creators:
Weise, Konstantin1, 2, Author           
Wartman, William A.3, Author
Knösche, Thomas R.1, 4, Author           
Nummenmaa, Aapo R.3, 5, Author
Makarov, Sergey N.3, 5, Author
Affiliations:
1Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
2Department of Advanced Electromagnetics, TU Ilmenau, Germany, ou_persistent22              
3Department of Electrical and Computer Engineering, University of Massachusetts Medical School, Worcester, MA, USA, ou_persistent22              
4Institute for Biomedical Engineering and Informatics, TU Ilmenau, Germany, ou_persistent22              
5Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              

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Free keywords: Brain stimulation; Electric field; Segmentation; Head modeling; Meninges; Transcranial magnetic stimulation; Transcranial electric stimulation
 Abstract: Background

When modeling transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) in the brain, the meninges – dura, arachnoid, and pia mater – are often neglected due to high computational costs.
Objective

We investigate the impact of the meningeal layers on the cortical electric field in TES and TMS while considering the headreco segmentation as the base model.
Method

We use T1/T2 MRI data from 16 subjects and apply the boundary element fast multipole method with adaptive mesh refinement, which enables us to accurately solve this problem and establish method convergence at reasonable computational cost. We compare electric fields in the presence and absence of various meninges for two brain areas (
and

) and for several distinct TES and TMS setups.
Results

Maximum electric fields in the cortex for focal TES consistently increase by approximately 30% on average when the meninges are present in the CSF volume. Their effect on the maximum field can be emulated by reducing the CSF conductivity from 1.65 S/m to approximately 0.85 S/m. In stark contrast to that, the TMS electric fields in the cortex are only weakly affected by the meningeal layers and slightly (∼6%) decrease on average when the meninges are included.
Conclusion

Our results quantify the influence of the meninges on the cortical TES and TMS electric fields. Both focal TES and TMS results are very consistent. The focal TES results are also in a good agreement with a prior relevant study. The solver and the mesh generator for the meningeal layers (compatible with SimNIBS) are available online.

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Language(s): eng - English
 Dates: 2022-04-072022-02-012022-04-082022-04-182022-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.brs.2022.04.009
Other: epub 2022
PMID: 35447379
 Degree: -

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Project name : -
Grant ID : WE 5985/1-2; P41EB030006
Funding program : -
Funding organization : German Science Foundation (DFG)
Project name : -
Grant ID : -
Funding program : -
Funding organization : NVIDIA Corporation
Project name : -
Grant ID : 1R01MH111829; 1R01MH128421
Funding program : -
Funding organization : National Institute of Biomedical Imaging and Bioengineering (NIBIB)

Source 1

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Title: Brain Stimulation
  Abbreviation : Brain Stimul
Source Genre: Journal
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Publ. Info: New York, NY : Elsevier
Pages: - Volume / Issue: 15 (3) Sequence Number: - Start / End Page: 654 - 663 Identifier: ISSN: 1935-861X
CoNE: https://pure.mpg.de/cone/journals/resource/1935-861X