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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: J Neural Eng. 2016 May 11;13(3):036023. doi: 10.1088/1741-2560/13/3/036023

Table 1.

Electrical Properties of Different Tissues with Increasing Model Complexity

Tissue/Category isotropic anisotropic1,2 dielectric dispersion3,4
σ (S/m) σ (S/m) σ (S/m) εr
CSF 1.5 TF N/A N/A
Grey matter 0.23 TF TF(ω)3 f(ω)3
White matter 0.14 TF TF(ω)3 f(ω)3
Glial scar 0.13 N/A N/A N/A
Dura and arachnoid5 3.0×10−2 N/A N/A N/A
Skull6 2.0 ×10−2 N/A f(ω)3 f(ω)3
Soft tissues7 0.33 N/A f(ω)3 f(ω)3
1

Only regions within the brain (including CSF) were treated as anisotropic.

2

section 2.3 and table 2 summarize how tensors in the brain regions were constructed.

3

The model was solved using a Fourier approach. The dependence of Σ/σ and εr on angular frequency, f(ω), for brain parenchyma, skull, and soft tissues are from (Gabriel et al., 1996b).

4

The electrode-tissue interface was modeled as a thin layer (equation 2) with a Faradaic resistance and double-layer capacitance of 150 Ωcm2 and 30 µF/cm2, respectively (Wei and Grill, 2009).

5

The dura and arachnoid mater were lumped in a thin layer (equation 2) with a thickness of 2.3 mm.

6

Only the part of the skull that surrounded the brain (figure 1a) was considered.

7

The muscles, tendons, cervical vertebrae, fat, skin, intervertebral disks, blood, air, and portions of the skull within the soft tissues were lumped into a single conductive region.

Abbreviations: TF = tensor field, CSF = cerebral spinal fluid, σ = conductivity, εr = relative permittivity