Literature DB >> 19730912

On the EEG/MEG forward problem solution for distributed cortical sources.

Nicolás von Ellenrieder1, Pedro A Valdés-Hernández, Carlos H Muravchik.   

Abstract

In studies of EEG/MEG problems involving cortical sources, the cortex may be modeled by a 2-D manifold inside the brain. In such cases the primary or impressed current density over this manifold is usually approximated by a set of dipolar sources located at the vertices of the cortical surface tessellation. In this study, we analyze the different errors induced by this approximation on the EEG/MEG forward problem. Our results show that in order to obtain more accurate solutions of the forward problems with the multiple dipoles approximation, the moments of the dipoles should be weighted by the area of the surrounding triangles, or using an alternative approximation of the primary current as a constant or linearly varying current density over plane triangular elements of the cortical surface tessellation. This should be taken into account when computing the lead field matrix for solving the EEG/MEG inverse problem in brain imaging methods.

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Year:  2009        PMID: 19730912     DOI: 10.1007/s11517-009-0529-x

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  26 in total

1.  Localization of realistic cortical activity in MEG using current multipoles.

Authors:  K Jerbi; S Baillet; J C Mosher; G Nolte; L Garnero; R M Leahy
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2.  A computationally efficient method for accurately solving the EEG forward problem in a finely discretized head model.

Authors:  Lora A Neilson; Mikhail Kovalyov; Zoltan J Koles
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3.  Distributed current estimates using cortical orientation constraints.

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4.  On bioelectric potentials in an inhomogeneous volume conductor.

Authors:  D B Geselowitz
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

5.  On the numerical accuracy of the boundary element method.

Authors:  J W Meijs; O W Weier; M J Peters; A van Oosterom
Journal:  IEEE Trans Biomed Eng       Date:  1989-10       Impact factor: 4.538

6.  Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data.

Authors:  M S Hämäläinen; J Sarvas
Journal:  IEEE Trans Biomed Eng       Date:  1989-02       Impact factor: 4.538

7.  A fast method to compute the potential in the multisphere model.

Authors:  J C de Munck; M J Peters
Journal:  IEEE Trans Biomed Eng       Date:  1993-11       Impact factor: 4.538

8.  Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain.

Authors:  R D Pascual-Marqui; C M Michel; D Lehmann
Journal:  Int J Psychophysiol       Date:  1994-10       Impact factor: 2.997

9.  A complete linear discretization for calculating the magnetic field using the boundary element method.

Authors:  A S Ferguson; X Zhang; G Stroink
Journal:  IEEE Trans Biomed Eng       Date:  1994-05       Impact factor: 4.538

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

Authors:  Yingchun Zhang; Wim van Drongelen; Bin He
Journal:  Appl Phys Lett       Date:  2006       Impact factor: 3.791

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  2 in total

1.  Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes.

Authors:  Vitaly L Galinsky; Antigona Martinez; Martin P Paulus; Lawrence R Frank
Journal:  Neural Comput       Date:  2018-04-13       Impact factor: 2.026

2.  Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography.

Authors:  Matti Stenroos; Aapo Nummenmaa
Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

  2 in total

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