Literature DB >> 23044667

Influence of anisotropic conductivity in the skull and white matter on transcranial direct current stimulation via an anatomically realistic finite element head model.

Hyun Sang Suh1, Won Hee Lee, Tae-Seong Kim.   

Abstract

To establish safe and efficient transcranial direct current stimulation (tDCS), it is of particular importance to understand the electrical effects of tDCS in the brain. Since the current density (CD) and electric field (EF) in the brain generated by tDCS depend on various factors including complex head geometries and electrical tissue properties, in this work, we investigated the influence of anisotropic conductivity in the skull and white matter (WM) on tDCS via a 3D anatomically realistic finite element head model. We systematically incorporated various anisotropic conductivity ratios into the skull and WM. The effects of anisotropic tissue conductivity on the CD and EF were subsequently assessed through comparisons to the conventional isotropic solutions. Our results show that the anisotropic skull conductivity significantly affects the CD and EF distribution: there is a significant reduction in the ratio of the target versus non-target total CD and EF on the order of 12-14%. In contrast, the WM anisotropy does not significantly influence the CD and EF on the targeted cortical surface, only on the order of 1-3%. However, the WM anisotropy highly alters the spatial distribution of both the CD and EF inside the brain. This study shows that it is critical to incorporate anisotropic conductivities in planning of tDCS for improved efficacy and safety.

Entities:  

Mesh:

Year:  2012        PMID: 23044667     DOI: 10.1088/0031-9155/57/21/6961

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  24 in total

1.  The effect of tissue anisotropy on the radial and tangential components of the electric field in transcranial direct current stimulation.

Authors:  Mohamed K Metwally; Seung Moo Han; Tae-Seong Kim
Journal:  Med Biol Eng Comput       Date:  2015-05-05       Impact factor: 2.602

2.  Changing head model extent affects finite element predictions of transcranial direct current stimulation distributions.

Authors:  Aprinda Indahlastari; Munish Chauhan; Benjamin Schwartz; Rosalind J Sadleir
Journal:  J Neural Eng       Date:  2016-10-05       Impact factor: 5.379

3.  The electric field distribution in the brain during TTFields therapy and its dependence on tissue dielectric properties and anatomy: a computational study.

Authors:  Cornelia Wenger; Ricardo Salvador; Peter J Basser; Pedro C Miranda
Journal:  Phys Med Biol       Date:  2015-09-09       Impact factor: 3.609

4.  Benchmarking transcranial electrical stimulation finite element models: a comparison study.

Authors:  Aprinda Indahlastari; Munish Chauhan; Rosalind J Sadleir
Journal:  J Neural Eng       Date:  2019-01-03       Impact factor: 5.379

5.  Clinician accessible tools for GUI computational models of transcranial electrical stimulation: BONSAI and SPHERES.

Authors:  Dennis Q Truong; Mathias Hüber; Xihe Xie; Abhishek Datta; Asif Rahman; Lucas C Parra; Jacek P Dmochowski; Marom Bikson
Journal:  Brain Stimul       Date:  2014-03-30       Impact factor: 8.955

6.  Electric Field Model of Transcranial Electric Stimulation in Nonhuman Primates: Correspondence to Individual Motor Threshold.

Authors:  Won Hee Lee; Sarah H Lisanby; Andrew F Laine; Angel V Peterchev
Journal:  IEEE Trans Biomed Eng       Date:  2015-04-22       Impact factor: 4.538

7.  Automated MRI segmentation for individualized modeling of current flow in the human head.

Authors:  Yu Huang; Jacek P Dmochowski; Yuzhuo Su; Abhishek Datta; Christopher Rorden; Lucas C Parra
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

8.  Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: a comparative evaluation.

Authors:  Sebastian Eichelbaum; Moritz Dannhauer; Mario Hlawitschka; Dana Brooks; Thomas R Knösche; Gerik Scheuermann
Journal:  Neuroimage       Date:  2014-05-10       Impact factor: 6.556

Review 9.  The contribution of interindividual factors to variability of response in transcranial direct current stimulation studies.

Authors:  Lucia M Li; Kazumasa Uehara; Takashi Hanakawa
Journal:  Front Cell Neurosci       Date:  2015-05-12       Impact factor: 5.505

10.  Computational Study of Subdural Cortical Stimulation: Effects of Simulating Anisotropic Conductivity on Activation of Cortical Neurons.

Authors:  Hyeon Seo; Donghyeon Kim; Sung Chan Jun
Journal:  PLoS One       Date:  2015-06-09       Impact factor: 3.240

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