Literature DB >> 12002172

Dipole models for the EEG and MEG.

Paul H Schimpf1, Ceon Ramon, Jens Haueisen.   

Abstract

The current dipole is a widely used source model in forward and inverse electroencephalography and magnetoencephalography applications. Analytic solutions to the governing field equations have been developed for several approximations of the human head using ideal dipoles as the source model. Numeric approaches such as the finite-element and finite-difference methods have become popular because they allow the use of anatomically realistic head models and the increased computational power that they require has become readily available. Although numeric methods can represent more realistic domains, the sources in such models are an approximation of the ideal dipole. In this paper, we examine several methods for representing dipole sources in finite-element models and compare the resulting surface potentials and external magnetic field with those obtained from analytic solutions using ideal dipoles.

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Year:  2002        PMID: 12002172     DOI: 10.1109/10.995679

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


  24 in total

1.  Multimodal integration of EEG and MEG data: a simulation study with variable signal-to-noise ratio and number of sensors.

Authors:  Fabio Babiloni; Claudio Babiloni; Filippo Carducci; Gian Luca Romani; Paolo M Rossini; Leonardo M Angelone; Febo Cincotti
Journal:  Hum Brain Mapp       Date:  2004-05       Impact factor: 5.038

2.  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

3.  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

4.  Sensitivity of MEG and EEG to source orientation.

Authors:  Seppo P Ahlfors; Jooman Han; John W Belliveau; Matti S Hämäläinen
Journal:  Brain Topogr       Date:  2010-07-18       Impact factor: 3.020

5.  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

6.  Attention modulates topology and dynamics of auditory sensory gating.

Authors:  Sanja Josef Golubic; Miljenka Jelena Jurasic; Ana Susac; Ralph Huonker; Theresa Gotz; Jens Haueisen
Journal:  Hum Brain Mapp       Date:  2019-03-18       Impact factor: 5.038

Review 7.  Tutorial: a computational framework for the design and optimization of peripheral neural interfaces.

Authors:  Simone Romeni; Giacomo Valle; Alberto Mazzoni; Silvestro Micera
Journal:  Nat Protoc       Date:  2020-09-28       Impact factor: 13.491

8.  Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model.

Authors:  Seok Lew; Danielle D Sliva; Myong-sun Choe; P Ellen Grant; Yoshio Okada; Carsten H Wolters; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-03-24       Impact factor: 6.556

9.  Influence of white matter anisotropic conductivity on EEG source localization: comparison to fMRI in human primary visual cortex.

Authors:  Won Hee Lee; Zhongming Liu; Bryon A Mueller; Kelvin Lim; Bin He
Journal:  Clin Neurophysiol       Date:  2009-10-14       Impact factor: 3.708

10.  Effects of skull thickness, anisotropy, and inhomogeneity on forward EEG/ERP computations using a spherical three-dimensional resistor mesh model.

Authors:  Nicolas Chauveau; Xavier Franceries; Bernard Doyon; Bernard Rigaud; Jean Pierre Morucci; Pierre Celsis
Journal:  Hum Brain Mapp       Date:  2004-02       Impact factor: 5.038

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