Literature DB >> 15638183

A common formalism for the integral formulations of the forward EEG problem.

Jan Kybic1, Maureen Clerc, Toufic Abboud, Olivier Faugeras, Renaud Keriven, Théo Papadopoulo.   

Abstract

The forward electroencephalography (EEG) problem involves finding a potential V from the Poisson equation inverted Delta x (sigma inverted Delta V) f, in which f represents electrical sources in the brain, and sigma the conductivity of the head tissues. In the piecewise constant conductivity head model, this can be accomplished by the boundary element method (BEM) using a suitable integral formulation. Most previous work uses the same integral formulation, corresponding to a double-layer potential. In this paper we present a conceptual framework based on a well-known theorem (Theorem 1) that characterizes harmonic functions defined on the complement of a bounded smooth surface. This theorem says that such harmonic functions are completely defined by their values and those of their normal derivatives on this surface. It allows us to cast the previous BEM approaches in a unified setting and to develop two new approaches corresponding to different ways of exploiting the same theorem. Specifically, we first present a dual approach which involves a single-layer potential. Then, we propose a symmetric formulation, which combines single- and double-layer potentials, and which is new to the field of EEG, although it has been applied to other problems in electromagnetism. The three methods have been evaluated numerically using a spherical geometry with known analytical solution, and the symmetric formulation achieves a significantly higher accuracy than the alternative methods. Additionally, we present results with realistically shaped meshes. Beside providing a better understanding of the foundations of BEM methods, our approach appears to lead also to more efficient algorithms.

Mesh:

Year:  2005        PMID: 15638183     DOI: 10.1109/tmi.2004.837363

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  72 in total

1.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

2.  Sensitivity of beamformer source analysis to deficiencies in forward modeling.

Authors:  Olaf Steinsträter; Stephanie Sillekens; Markus Junghoefer; Martin Burger; Carsten H Wolters
Journal:  Hum Brain Mapp       Date:  2010-05-24       Impact factor: 5.038

3.  Vectored electroencephalograms.

Authors:  Jim Sondecker; M Smith; D Robinson
Journal:  Psychiatry (Edgmont)       Date:  2005-08

4.  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

5.  Algorithm to find high density EEG scalp coordinates and analysis of their correspondence to structural and functional regions of the brain.

Authors:  Paolo Giacometti; Katherine L Perdue; Solomon G Diamond
Journal:  J Neurosci Methods       Date:  2014-04-24       Impact factor: 2.390

6.  Electrophysiological responses to lateral shifts are not consistent with opponent-channel processing of interaural level differences.

Authors:  Erol J Ozmeral; David A Eddins; Ann Clock Eddins
Journal:  J Neurophysiol       Date:  2019-06-26       Impact factor: 2.714

7.  Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods.

Authors:  Alexandre Gramfort; Matthieu Kowalski; Matti Hämäläinen
Journal:  Phys Med Biol       Date:  2012-03-16       Impact factor: 3.609

8.  Measuring MEG closer to the brain: Performance of on-scalp sensor arrays.

Authors:  Joonas Iivanainen; Matti Stenroos; Lauri Parkkonen
Journal:  Neuroimage       Date:  2016-12-19       Impact factor: 6.556

9.  Spectral and source structural development of mu and alpha rhythms from infancy through adulthood.

Authors:  Samuel G Thorpe; Erin N Cannon; Nathan A Fox
Journal:  Clin Neurophysiol       Date:  2015-03-20       Impact factor: 3.708

10.  Comparative performance of the finite element method and the boundary element fast multipole method for problems mimicking transcranial magnetic stimulation (TMS).

Authors:  Aung Thu Htet; Guilherme B Saturnino; Edward H Burnham; Gregory M Noetscher; Aapo Nummenmaa; Sergey N Makarov
Journal:  J Neural Eng       Date:  2019-01-03       Impact factor: 5.379

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