Literature DB >> 9254986

Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head.

J Haueisen1, C Ramon, M Eiselt, H Brauer, H Nowak.   

Abstract

Modeling in magnetoencephalography (MEG) and electroencephalography (EEG) requires knowledge of the in vivo tissue resistivities of the head. The aim of this paper is to examine the influence of tissue resistivity changes on the neuromagnetic field and the electric scalp potential. A high-resolution finite element method (FEM) model (452,162 elements, 2-mm resolution) of the human head with 13 different tissue types is employed for this purpose. Our main finding was that the magnetic fields are sensitive to changes in the tissue resistivity in the vicinity of the source. In comparison, the electric surface potentials are sensitive to changes in the tissue resistivity in the vicinity of the source and in the vicinity of the position of the electrodes. The magnitude (strength) of magnetic fields and electric surface potentials is strongly influenced by tissue resistivity changes, while the topography is not as strongly influenced. Therefore, an accurate modeling of magnetic field and electric potential strength requires accurate knowledge of tissue resistivities, while for source localization procedures this knowledge might not be a necessity.

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Year:  1997        PMID: 9254986     DOI: 10.1109/10.605429

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  62 in total

1.  Effects of tissue resistivities on electroencephalogram sensitivity distribution.

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4.  Conductivity tensor mapping of the human brain using diffusion tensor MRI.

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5.  Gyri-precise head model of transcranial direct current stimulation: improved spatial focality using a ring electrode versus conventional rectangular pad.

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6.  Predicted current densities in the brain during transcranial electrical stimulation.

Authors:  R N Holdefer; R Sadleir; M J Russell
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7.  Resistor mesh model of a spherical head: part 2: a review of applications to cortical mapping.

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Review 8.  Integration of EEG/MEG with MRI and fMRI.

Authors:  Zhongming Liu; Lei Ding; Bin He
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Jul-Aug

9.  Dealing with mismatched fMRI activations in fMRI constrained EEG cortical source imaging: a simulation study assuming various mismatch types.

Authors:  Chang-Hwan Im
Journal:  Med Biol Eng Comput       Date:  2007-01-03       Impact factor: 2.602

10.  Spatial resolution of EEG cortical source imaging revealed by localization of retinotopic organization in human primary visual cortex.

Authors:  Chang-Hwan Im; Arvind Gururajan; Nanyin Zhang; Wei Chen; Bin He
Journal:  J Neurosci Methods       Date:  2006-11-13       Impact factor: 2.390

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