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Literature DB >> 7851932

A method for localizing EEG sources in realistic head models.

Abstract

A computationally practical method for performing moving dipole calculations to localize EEG sources in realistic, boundary element (integral equation) type of head models is presented. This method makes use of a rapid method of solving the forward problem of calculating the EEG's produced by a dipole in a realistic head model. This rapid forward calculation method allows the use of standard Simplex search techniques to solve the inverse problem of localizing electrical sources in the brain from EEG's measured on the scalp.

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Year: 1995 PMID： 7851932 DOI： 10.1109/10.362917

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

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Cited

16 in total

1. Applicability of the single equivalent point dipole model to represent a spatially distributed bio-electrical source.

Authors: A A Armoundas; A B Feldman; D A Sherman; R J Cohen
Journal: Med Biol Eng Comput Date: 2001-09 Impact factor: 2.602

2. From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

Authors: Samuel A Inverso; Xin-Lin Goh; Linda Henriksson; Simo Vanni; Andrew C James
Journal: Hum Brain Mapp Date: 2016-02-12 Impact factor: 5.038

3. Spatio-temporal EEG source localization using a three-dimensional subspace FINE approach in a realistic geometry inhomogeneous head model.

Authors: Lei Ding; Bin He
Journal: IEEE Trans Biomed Eng Date: 2006-09 Impact factor: 4.538

A method for localizing EEG sources in realistic head models.

1. Applicability of the single equivalent point dipole model to represent a spatially distributed bio-electrical source.

2. From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

3. Spatio-temporal EEG source localization using a three-dimensional subspace FINE approach in a realistic geometry inhomogeneous head model.

4. Effect of neural connectivity on autocovariance and cross covariance estimates.

5. A simple method for calculating the depth of EEG sources using minimum norm estimates (MNE).

6. Four-shell ellipsoidal model employing multipole expansion in ellipsoidal coordinates.

7. A hybrid algorithm for solving the EEG inverse problem from spatio-temporal EEG data.

8. On the estimation of the number of dipole sources in EEG source localization.

9. Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation.

10. Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings.