DocumentCode :
2078992
Title :
Effects of tissue dielectric properties on the electric field induced in tDCS: A sensitivity analysis
Author :
Salvador, Ricardo ; Ramirez, Franco ; V´yacheslavovna, M. ; Miranda, P.C.
Author_Institution :
Inst. of Biophys. & Biomed. Eng., Univ. of Lisbon, Lisbon, Portugal
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
787
Lastpage :
790
Abstract :
Numerical modeling studies remain the only viable way to accurately predict the electric field (E-field) distribution in transcranial direct current stimulation (tDCS). Despite the existence of multiple studies of this kind, a wide range of different values and properties for the electrical conductivities of the tissues represented is employed. This makes it difficult to predict whether the changes observed between models are due to differences in the geometries of the volume conductors or to the different electrical properties of the tissues. In this study we used the finite element method to calculate the E-field distribution in several spherical head models whose tissues were represented with different isotropic and anisotropic conductivity profiles. Results show that the distribution of the E-field is especially sensitive to the conductivity of the skull, skin and GM. These results might help comparing numerical modeling studies that employ different conductivity values.
Keywords :
bioelectric phenomena; electrical conductivity; finite element analysis; physiological models; sensitivity analysis; skin; E-field distribution; GM; anisotropic conductivity profiles; electric field distribution; electrical conductivity; electrical properties; finite element method; gray matter; numerical modeling; sensitivity analysis; skin; skull; spherical head models; tDCS; tissue dielectric properties; transcranial direct current stimulation; volume conductors; Brain models; Conductivity; Electrodes; Erbium; Numerical models; Skin; Anisotropy; Brain; Cerebrospinal Fluid; Computer Simulation; Electric Conductivity; Electric Stimulation Therapy; Electrophysiological Phenomena; Finite Element Analysis; Head; Humans; Models, Neurological; Scalp; Skull;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346049
Filename :
6346049
Link To Document :
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