Literature DB >> 9691573

An improved boundary element method for realistic volume-conductor modeling.

M Fuchs1, R Drenckhahn, H A Wischmann, M Wagner.   

Abstract

An improved boundary element method (BEM) with a virtual triangle refinement using the vertex normals, an optimized auto solid angle approximation, and a weighted isolated problem approach is presented. The performance of this new approach is compared to analytically solvable spherical shell models and highly refined reference BEM models for tangentially and radially oriented dipoles at different eccentricities. The lead fields of several electroencephalography (EEG) and magnetoencephalography (MEG) setups are analyzed by singular-value decompositions for realistically shaped volume-conductor models. Dipole mislocalizations due to simplified volume-conductor models are investigated for EEG and MEG examinations for points on a three dimensional (3-D) grid with 10-mm spacing inside the conductor and all principal dipole orientations. The applicability of the BEM in view of the computational effort is tested with a standard workstation. Finally, an application of the new method to epileptic spike data is studied and the results are compared to the spherical-shells approximation.

Entities:  

Mesh:

Year:  1998        PMID: 9691573     DOI: 10.1109/10.704867

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


  55 in total

1.  Fast realistic modeling in bioelectromagnetism using lead-field interpolation.

Authors:  B Yvert; A Crouzeix-Cheylus; J Pernier
Journal:  Hum Brain Mapp       Date:  2001-09       Impact factor: 5.038

2.  The spatiotemporal dynamics of illusory contour processing: combined high-density electrical mapping, source analysis, and functional magnetic resonance imaging.

Authors:  Micah M Murray; Glenn R Wylie; Beth A Higgins; Daniel C Javitt; Charles E Schroeder; John J Foxe
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

3.  Evaluating the spatial relationship of event-related potential and functional MRI sources in the primary visual cortex.

Authors:  Kevin Whittingstall; Gerhard Stroink; Matthias Schmidt
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

4.  Cortical network dynamics during source memory retrieval: current density imaging with individual MRI.

Authors:  Young Youn Kim; Ah Young Roh; Yoon Namgoong; Hang Joon Jo; Jong-Min Lee; Jun Soo Kwon
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

5.  Parallel implementation of the accelerated BEM approach for EMSI of the human brain.

Authors:  Y Ataseven; Z Akalin-Acar; C E Acar; N G Gençer
Journal:  Med Biol Eng Comput       Date:  2008-02-26       Impact factor: 2.602

6.  Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations.

Authors:  Donald J Hagler; Eric Halgren; Antigona Martinez; Mingxiong Huang; Steven A Hillyard; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

7.  Rapid recurrent processing gates awareness in primary visual cortex.

Authors:  C N Boehler; M A Schoenfeld; H-J Heinze; J-M Hopf
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-12       Impact factor: 11.205

8.  Intracranial recording and source localization of auditory brain responses elicited at the 50 ms latency in three children aged from 3 to 16 years.

Authors:  Oleg Korzyukov; Eishi Asano; Valentina Gumenyuk; Csaba Juhász; Michael Wagner; Robert D Rothermel; Harry T Chugani
Journal:  Brain Topogr       Date:  2009-08-22       Impact factor: 3.020

9.  Multimodal integration of fMRI and EEG data for high spatial and temporal resolution analysis of brain networks.

Authors:  D Mantini; L Marzetti; M Corbetta; G L Romani; C Del Gratta
Journal:  Brain Topogr       Date:  2010-01-06       Impact factor: 3.020

10.  Realistic and spherical head modeling for EEG forward problem solution: a comparative cortex-based analysis.

Authors:  Federica Vatta; Fabio Meneghini; Fabrizio Esposito; Stefano Mininel; Francesco Di Salle
Journal:  Comput Intell Neurosci       Date:  2010-02-14
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