ArticleJournal of neural engineering2019
Benchmarking transcranial electrical stimulation finite element models: a comparison study.
Article in Journal of neural engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Effects of tDCS of the DLPFC on brain networks: A hybrid brain modeling study.PLoS computational biology · 2025Article
- Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- An adaptive h-refinement method for the boundary element fast multipole method for quasi-static electromagnetic modeling.Physics in medicine and biology · 2024Article
- Impact of electrode selection on modeling tDCS in the aging brain.Frontiers in human neuroscience · 2023Article
- Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation.Journal of personalized medicine · 2021Article
- A Systematic Review and Meta-Analysis of Transcranial Direct Current Stimulation to Remediate Age-Related Cognitive Decline in Healthy Older Adults.Neuropsychiatric disease and treatment · 2021Review
- i-SATA: A MATLAB based toolbox to estimate current density generated by transcranial direct current stimulation in an individual brain.Journal of neural engineering · 2020Article
- Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults.Brain stimulationArticle
- Modeling transcranial electrical stimulation in the aging brain.Brain stimulationArticle
- White matter hyperintensities affect transcranial electrical stimulation in the aging brain.Brain stimulationArticle
- Conditions for numerically accurate TMS electric field simulation.Brain stimulationArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveTo compare field measure differences in simulations of transcranial electrical stimulation (tES) generated by variations in finite element (FE) models due to boundary condition specification, use of tissue compartment smoothing filters, and use of free or structured tetrahedral meshes based on magnetic resonance imaging (MRI) data. APPROACH: A structural MRI head volume was acquired at 1 mm MAIN
resultsUse of boundary conditions commonly used in previous tES FE studies produced asymmetric current density profiles in the simple geometry. In head models, median current density differences produced by the two pipelines, using the same boundary conditions, were up to 6% (isotropic) and 18% (anisotropic) in structures targeted by each montage. Tangential electric field measures calculated via either pipeline were within the range of values reported in the literature, when averaged over cortical surface patches. SIGNIFICANCE: Apparently equivalent boundary settings may affect predicted current density outcomes and care must be taken in their specification. Smoothing FE model compartments may not be necessary, and directly translated, voxellated tissue boundaries at 1 mm
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