A Model for Frequency Dependence of Conductivities
of the Live Human Skull
M. Akhtari*, H.C. Bryant*, D. Emin*, W. Merrifield
+
, A.N. Mamelak
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, E.R. Flynn
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, J.J. Shih^
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, M.
Mandelkern
#
, A. Matlachov
!
, D.M. Ranken
?
, E.D. Best
?
, M.A. DiMauro*, R.R. Lee
%
, and W.W.
Sutherling
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Summary: A mathematical model (σ(ω) ≈ Αω
α
, where, σ≡ conductivity, ω =2πf ≡ applied frequency (Hz), A (amplitude) and α (unitless) ≡ search pa-
rameters) was used to fit the frequency dependence of electrical conductivities of compact, spongiosum, and bulk layers of the live and, subsequently,
dead human skull samples. The results indicate that the fit of this model to the experimental data is excellent. The ranges of values of A and α were,
spongiform (12.0-36.5, 0.0083-0.0549), the top compact (5.02-7.76, -0.137-0.0144), the lower compact (2.31-10.6, 0.0267-0.0452), and the bulk (7.46-10.6,
0.0133-0.0239). The respective values A and α for the respective layers of the dead skull samples were (40.1-89.7, -0.0017-0.0287), (5.53-14.5, -0.0296 -
-0.0061), (4.58-15.9, -0.0226-0.0268), and (12.7-25.3, -0.0158-0.0132).
Key words: Skull; Conductivity; Model; MEG; EEG.
Introduction
MagnetoEncephaloGraphy (MEG), ElectroEnceph-
aloGraphy (EEG) and combined MEG-EEG (Baillet et al.
1999; Diekman et al. 1998; Fuchs et al. 1998) are
noninvasive techniques for investigation and localiza-
tion of intracranial current sources and regions of
neuronal activities. Source reconstruction with these
techniques can be used for pre-surgical planning near the
central sulcus (Alberstone et al. 2000; Sobel et al. 2000;
Ebersole 1999; Simos et al. 1999; Baumgartner et al. 1998;
Nakamura et al. 1998; Akhtari et al. 1994; Gallen et al.
1993; Sutherling et al. 1988a; Wood et al. 1988), localiza-
tion of interictal spike and epileptic activity (Ishibashi et
al. 2002; Pataraia et al. 2002; Hisada et al. 2000; Michel et
al. 1999; Silva et al. 1999; Wheless et al. 1999; Diekmann et
al. 1998; Sutherling et al. 1991; Sutherling et al. 1990;
Barth et al. 1989; Sutherling et al. 1988b; Rose et al. 1987;
Sutherling et al. 1987; Ricci et al. 1985), investigation of
cognitive and functional processes (Bastiaansen et al.
2001; Herrmann et al. 2000; Tendolkar et al. 2000; Tesche
and Karhu 2000; Breier et al. 1999a,b; Hari and Fross
1999; Pantev et al. 1999; Papanicolau et al. 1999; Ribary et
al. 1999; Simos et al. 1999; Huotilainen et al. 1998;
Volkmann 1998; Buchner et al. 1995; Sutherling et al.
1992; Pantev et al. 1989; Wood et al. 1985; Romani et al.
1982), the study of various brain disorders (Kasai et al.
2002; Berendse et al. 2000; Hurley et al. 2000; Reite et al.
1999; Sperling et al. 1999), and many other applications.
MEG and EEG source reconstruction techniques use
dipole and extended source models for localization of ce-
rebral activity (Kincses et al. 1999; Mosher and Leahy
1998; Sarvas 1987; Stock 1986). The model of the volume
conductor significantly affects localization accuracy (van
den Broek et al. 1998; Stinstra and Peters 1998). Several
mathematical and geometrical models of the human cra-
nium as a volume conductor have been developed to cor-
relate extracranially measured magnetic fields (MEG)
* Department of Physics and Astronomy, The University of New
Mexico, Albuquerque, NM, USA.
+
Huntington Medical Research Institutes, Pasadena, CA, USA.
^ Department of Neurology, The University of New Mexico School
of Medicine, Albuquerque, NM, USA.
~
Department of Neurosciences, The University of New Mexico
School of Medicine, Albuquerque, NM, USA.
#
Department of Physics, University of California at Irvine, Irvine,
CA, USA.
$
Epilepsy and Brain Mapping Program, Huntington Memorial
Hospital, Pasadena, CA, USA.
!
Physics Division, Los Alamos National Laboratory, Los Alamos,
NM, USA.
%
Department of Radiology, VA Medical Center, Albuquerque,
NM, USA.
<
Senior Scientific, Albuquerque, NM, USA.
>
Huntington Hospital, Pasadena, CA, USA.
?
Scientific Software Engineering, Los Alamos National Labora-
tory, Los Alamos, NM, USA.
Accepted for publication: June 25, 2003.
Supported By NIH Grant 20806.
Correspondence and reprint requests should be addressed to
Massoud Akhtari PhD., 545 Westgate St., Pasadena, CA, 91103, USA.
Copyright © 2003 Human Sciences Press, Inc.
Brain Topography, Volume 16, Number 1, Fall 2003 (© 2003) 39