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Finite Element Modelling of a Cellular Electric Microenvironment
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Benchmarking transcranial electrical stimulation finite element models: a comparison study.

Aprinda Indahlastari1, Munish Chauhan1,2, Rosalind J Sadleir2

  • 1Department of Clinical and Health Psychology, Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States of America.

Journal of Neural Engineering
|January 4, 2019
PubMed
Summary
This summary is machine-generated.

Finite element (FE) models for transcranial electrical stimulation (tES) show that boundary conditions significantly impact current density predictions. Simplifying models by omitting smoothing may reduce processing time without sacrificing accuracy in tES simulations.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Modeling

Background:

  • Transcranial electrical stimulation (tES) relies on computational models to predict electric field distribution.
  • Finite element (FE) models are widely used but can be sensitive to variations in input parameters.
  • Understanding these sensitivities is crucial for accurate tES outcome prediction.

Purpose of the Study:

  • To compare differences in field measures from transcranial electrical stimulation (tES) simulations.
  • To investigate the impact of finite element (FE) model variations on simulation outcomes.
  • To assess the influence of boundary conditions, tissue smoothing, and meshing on tES simulations.

Main Methods:

  • Structural MRI data (1 mm³ resolution) segmented into ten tissue compartments.
  • FE models generated using in-house (block) and commercial (smooth) pipelines.
  • Comparison of current densities and electric fields using identical boundary conditions across pipelines and electrode montages.

Main Results:

  • Boundary conditions used in previous tES FE studies created asymmetric current density profiles.
  • Median current density differences between pipelines reached up to 6% (isotropic) and 18% (anisotropic) in targeted cortical structures.
  • Tangential electric field measures were consistent with literature values when averaged over cortical patches.

Conclusions:

  • Boundary condition specification in tES FE models requires careful attention due to its impact on current density predictions.
  • Tissue compartment smoothing may be unnecessary, potentially reducing computational time.
  • Voxelated boundaries at 1 mm³ resolution might suffice for tES FE studies, improving efficiency.