Abstract
Accurate representations and measurements of skull electrical conductivity are essential in developing appropriate forward models for applications such as inverse EEG or Electrical Impedance Tomography of the head. Because of its layered structure, it is often assumed that skull is anisotropic, with an anisotropy ratio around 10. However, no detailed investigation of skull anisotropy has been performed. In this paper we investigate four-electrode measurements of conductivities and their relation to tissue anisotropy ratio (ratio of tangential to radial conductivity) in layered or anisotropic biological samples similar to bone. It is shown here that typical values for the thicknesses and radial conductivities of individual skull layers produce tissue with much smaller anisotropy ratios than 10. Moreover, we show that there are very significant differences between the field patterns formed in a three-layered isotropic structure plausible for bone, and those formed assuming that bone is homogeneous and anisotropic. We performed a measurement of conductivity using an electrode configuration sensitive to the distinction between three-layered and homogeneous anisotropic composition and found results consistent with the sample being three-layered. We recommend that the skull be more appropriately represented as three isotropic layers than as homogeneous and anisotropic.
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Acknowledgment
This work was supported by NIH grant RO1EB-002389 to RJS.
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Appendices
Appendix A
Assume a brick-shaped structure such as that shown in Fig. A, consisting of two layers with respective conductivities σ1 and σ2 (or an arbitrary number of layers each one having conductivity either σ1 or σ2, for example the three layer structure shown in Fig. 2a). The resistances observed in response to homogeneous electric fields applied in the radial and tangential directions, respectively, are
We also have that
where T = t 1 + t 2, since \(\sigma_t =\frac{1}{\rho_t}=\frac{l}{TwR_t}\hbox{ and }\sigma_r =\frac{1}{\rho_r }=\frac{T}{lwR_r}\) Combining Eqs. (A.1), (A.2) and (A.3), we obtain
where we have substituted \(\alpha_t =\frac{t_1 }{t_2 }\) .
Taking the derivative of (A.4) with respect to α t , we find a maximum at α t = 1, or that the maximum value of k is at
Appendix B
Analytic expressions describing the dependence of diagonal and orthogonal resistivity or conductivity calculations on anisotropy, electrode separation and sample thickness can be derived using Livshitz et al.18 in conjunction with variable spatial scaling to account for anisotropy, similar to that described in Rush.28 The geometry used by Livshitz is shown in Fig. B.
The voltage within the a single semi-infinite slab (region 2) is described by
where J 0 is the zeroth order Bessel function, and β = I/4π σ1 . The parameters z′ and r are the z coordinates of the source, and the xy distance between source and observation point respectively.
The functions T 1 and T 2 are transmission functions across the upper and lower boundaries, and are defined as
and
The parameters K i are defined as
Therefore, choosing z 1 = 0 and z 2 = h obtains
because σ1 = 0 (the conductivity outside the slab), the relation (from Eq. B.4) is used to calculate β via
Then, using the Weber–Lipschitz integral,
expanding the expression for R 1 as a Taylor Series in K 1 e −2λh and incorporating anisotropic scaling, we obtain the expression
where \(\alpha =\sqrt{\sigma_r/\sigma_t}\le 1\).
For the case of diagonal observations, voltage is measured at B, positioned at \((x,y,z)=(a,0,0)=({\mathbf r},0)\). This voltage is the sum of contributions from current sources positioned at A = (x′,y′,z′) = (0,0,0) and D = (x′,y′,z′) = (a,0,h), respectively. In the case of a source at A
and for a source at D
So the voltage on the electrode at B becomes
By symmetry, the difference between voltages at electrodes at B and C = (x,y,z) = (0,0,h) will be twice this quantity.
For the case of orthogonal observations, V BA will be the same as for the diagonal case, but the voltage contribution from the source at C will be
and the voltage difference V B will be
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Sadleir, R.J., Argibay, A. Modeling Skull Electrical Properties. Ann Biomed Eng 35, 1699–1712 (2007). https://doi.org/10.1007/s10439-007-9343-5
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DOI: https://doi.org/10.1007/s10439-007-9343-5