A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation

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Abstract

Recent years have seen the use of increasingly realistic electric field (EF) models to further our knowledge of the bioelectric basis of noninvasive brain techniques such as transcranial direct current stimulation (tDCS). Such models predict a poor spatial resolution of tDCS, showing a non-focal EF distribution with similar or even higher magnitude values far from the presumed targeted regions, thus bringing into doubt the classical criteria for electrode positioning. In addition to magnitude, the orientation of the EF over selected neural targets is thought to play a key role in the neuromodulation response. This chapter offers a summary of recent works which have studied the effect of simulated EF magnitude and orientation in tDCS, as well as providing new results derived from an anatomically representative parcellated brain model based on finite element method (FEM). The results include estimates of mean and peak tangential and normal EF values over different cortical regions and for various electrode montages typically used in clinical applications.

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Callejón-Leblic, M. A., & Miranda, P. C. (2020). A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation. In Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative (pp. 81–99). Springer International Publishing. https://doi.org/10.1007/978-3-030-45623-8_5

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