Three-Dimensional Electrical Impedance Tomography of Human Brain Activity

Tidswell, T; Gibson, Adam; Bayford, Richard; Holder, David

doi:10.1006/nimg.2000.0698

Cited by 170 publications

(133 citation statements)

References 33 publications

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“…C spread~2 e 0 e r k bipolar {k 4pt (10) Accurate models for the electric interface are often complicated to the degree of being practically useless. We have therefore resorted to a more empirical model to describe the interface impedances of the electrodes, i.e.…”

Section: Tetrapolar Impedance Spectroscopymentioning

confidence: 99%

Two-dimensional impedance imaging of cell migration and epithelial stratification

et al. 2006

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Section: Tetrapolar Impedance Spectroscopymentioning

confidence: 99%

Two-dimensional impedance imaging of cell migration and epithelial stratification

et al. 2006

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“…Extracting information about skull conductivity from the data concurrently with dipole parameters impairs the accuracy of the result. It is essential to obtain the skull conductivity in a separate procedure (Salman et al 2005, Tidswell et al 2001, Glidewell and Ng 1997 lest the accuracy deteriorates considerably. However, existing conductivity measurements do not eliminate all the uncertainties.…”

Section: Probabilistic Forward Modelmentioning

confidence: 99%

Probabilistic forward model for electroencephalography source analysis

Plis¹,

George²,

Jun³

et al. 2007

Phys. Med. Biol.

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Source localization by electroencephalography (EEG) requires an accurate model of head geometry and tissue conductivity. The estimation of source time courses from EEG or from EEG in conjunction with magnetoencephalography (MEG) requires a forward model consistent with true activity for the best outcome. Although MRI provides an excellent description of soft tissue anatomy, a high resolution model of the skull (the dominant resistive component of the head) requires CT, which is not justified for routine physiological studies. Although a number of techniques have been employed to estimate tissue conductivity, no present techniques provide the noninvasive 3D tomographic mapping of conductivity that would be desirable. We introduce a formalism for probabilistic forward modeling that allows the propagation of uncertainties in model parameters into possible errors in source localization. We consider uncertainties in the conductivity profile of the skull, but the approach is general and can be extended to other kinds of uncertainties in the forward model. We and others have previously suggested the possibility of extracting conductivity of the skull from measured electroencephalography data by simultaneously optimizing over dipole parameters and the conductivity values required by the forward model. Using Cramer-Rao bounds, we demonstrate that this approach does not improve localization results nor does it produce reliable conductivity estimates. We conclude that the conductivity of the skull has to be either accurately measured by an independent technique, or that the uncertainties in the conductivity values should be reflected in uncertainty in the source location estimates.

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“…These (increased usually) blood-flow changes are associated to increased rCBV. Also, reproducible impedance changes of approximately 0.5% have been measured in humans during visual, or motor activity, using 3-D electrical impedance tomography (EIT) (Tidswell et al, 2001). As stated above, the MiRaIS system measures temperature and/or conductivity fluctuations at low microwave frequencies.…”

Section: Focused Microwave Radiometrymentioning

confidence: 99%

Functional Brain Imaging Using Non-Invasive Non-Ionizing Methods: Towards Multimodal and Multiscale Imaging

Karanasiou¹

2012

Neuroimaging - Methods

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Three-Dimensional Electrical Impedance Tomography of Human Brain Activity

Cited by 170 publications

References 33 publications

Two-dimensional impedance imaging of cell migration and epithelial stratification

Two-dimensional impedance imaging of cell migration and epithelial stratification

Probabilistic forward model for electroencephalography source analysis

Functional Brain Imaging Using Non-Invasive Non-Ionizing Methods: Towards Multimodal and Multiscale Imaging

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