Estimation of in vivo brain-to-skull conductivity ratio in humans

Yingchun Zhang; Wim Van Drongelen; Bin He

doi:10.1063/1.2398883

Estimation of in vivo brain-to-skull conductivity ratio in humans

Yingchun Zhang, Wim Van Drongelen, Bin He

Research output: Contribution to journal › Article › peer-review

113 Scopus citations

Abstract

The electrical conductivity value of the human skull is important for biophysics research of the brain. In the present study, the human brain-to-skull conductivity ratio was estimated through in vivo experiments utilizing intracranial electrical stimulation in two epilepsy patients. A realistic geometry inhomogeneous head model including the implanted silastic grids was constructed with the aid of the finite element method, and used to estimate the conductivity ratio. Averaging over 49 sets of measurements, the mean value and standard deviation of the brain-to-skull conductivity ratio were found to be 18.7 and 2.1, respectively.

Original language	English (US)
Article number	223903
Journal	Applied Physics Letters
Volume	89
Issue number	22
DOIs	https://doi.org/10.1063/1.2398883
State	Published - 2006

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)

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10.1063/1.2398883

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title = "Estimation of in vivo brain-to-skull conductivity ratio in humans",

abstract = "The electrical conductivity value of the human skull is important for biophysics research of the brain. In the present study, the human brain-to-skull conductivity ratio was estimated through in vivo experiments utilizing intracranial electrical stimulation in two epilepsy patients. A realistic geometry inhomogeneous head model including the implanted silastic grids was constructed with the aid of the finite element method, and used to estimate the conductivity ratio. Averaging over 49 sets of measurements, the mean value and standard deviation of the brain-to-skull conductivity ratio were found to be 18.7 and 2.1, respectively.",

author = "Yingchun Zhang and {Van Drongelen}, Wim and Bin He",

note = "Funding Information: The authors are grateful to Lei Ding for useful discussions. This work was supported in part by NIH RO1 EB00178, NSF BES-0411898, NSF BES-0602957, and partly supported by the Supercomputing Institute of the University of Minnesota. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.",

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N1 - Funding Information: The authors are grateful to Lei Ding for useful discussions. This work was supported in part by NIH RO1 EB00178, NSF BES-0411898, NSF BES-0602957, and partly supported by the Supercomputing Institute of the University of Minnesota. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.

PY - 2006

Y1 - 2006

N2 - The electrical conductivity value of the human skull is important for biophysics research of the brain. In the present study, the human brain-to-skull conductivity ratio was estimated through in vivo experiments utilizing intracranial electrical stimulation in two epilepsy patients. A realistic geometry inhomogeneous head model including the implanted silastic grids was constructed with the aid of the finite element method, and used to estimate the conductivity ratio. Averaging over 49 sets of measurements, the mean value and standard deviation of the brain-to-skull conductivity ratio were found to be 18.7 and 2.1, respectively.

AB - The electrical conductivity value of the human skull is important for biophysics research of the brain. In the present study, the human brain-to-skull conductivity ratio was estimated through in vivo experiments utilizing intracranial electrical stimulation in two epilepsy patients. A realistic geometry inhomogeneous head model including the implanted silastic grids was constructed with the aid of the finite element method, and used to estimate the conductivity ratio. Averaging over 49 sets of measurements, the mean value and standard deviation of the brain-to-skull conductivity ratio were found to be 18.7 and 2.1, respectively.

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Estimation of in vivo brain-to-skull conductivity ratio in humans

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