Literature DB >> 15605860

Influence of head tissue conductivity in forward and inverse magnetoencephalographic simulations using realistic head models.

Robert Van Uitert1, Chris Johnson, Leonid Zhukov.   

Abstract

The influence of head tissue conductivity on magnetoencephalography (MEG) was investigated by comparing the normal component of the magnetic field calculated at 61 detectors and the localization accuracy of realistic head finite element method (FEM) models using dipolar sources and containing altered scalp, skull, cerebrospinal fluid, gray, and white matter conductivities to the results obtained using a FEM realistic head model with the same dipolar sources but containing published baseline conductivity values. In the models containing altered conductivity values, the tissue conductivity values were varied, one at a time, between 10% and 200% of their baseline values, and then varied simultaneously. Although changes in conductivity values for a single tissue layer often altered the calculated magnetic field and source localization accuracy only slightly, varying multiple conductivity layers simultaneously caused significant discrepancies in calculated results. The conductivity of scalp, and to a lesser extent that of white and gray matter, appears especially influential in determining the magnetic field. Comparing the results obtained from models containing the baseline conductivity values to the results obtained using other published conductivity values suggests that inaccuracies can occur depending upon which tissue conductivity values are employed. We show the importance of accurate head tissue conductivities for MEG source localization in human brain, especially for deep dipole sources or when an accuracy greater than 1.4 cm is needed.

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Year:  2004        PMID: 15605860     DOI: 10.1109/TBME.2004.836490

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


  11 in total

1.  Variable anisotropic brain electrical conductivities in epileptogenic foci.

Authors:  M Akhtari; M Mandelkern; D Bui; N Salamon; H V Vinters; G W Mathern
Journal:  Brain Topogr       Date:  2010-05-04       Impact factor: 3.020

2.  Language Neuroplasticity in Brain Tumor Patients Revealed by Magnetoencephalography.

Authors:  Vitória Piai; Elke De Witte; Joanna Sierpowska; Xiaochen Zheng; Leighton B Hinkley; Danielle Mizuiri; Robert T Knight; Mitchel S Berger; Srikantan S Nagarajan
Journal:  J Cogn Neurosci       Date:  2020-04-14       Impact factor: 3.225

3.  Modeling of prosthetic limb rotation control by sensing rotation of residual arm bone.

Authors:  Guanglin Li; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2008-09       Impact factor: 4.538

4.  Forward field computation with OpenMEEG.

Authors:  Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc
Journal:  Comput Intell Neurosci       Date:  2011-03-14

5.  OpenMEEG: opensource software for quasistatic bioelectromagnetics.

Authors:  Alexandre Gramfort; Théodore Papadopoulo; Emmanuel Olivi; Maureen Clerc
Journal:  Biomed Eng Online       Date:  2010-09-06       Impact factor: 2.819

6.  Influence of head models on neuromagnetic fields and inverse source localizations.

Authors:  Ceon Ramon; Jens Haueisen; Paul H Schimpf
Journal:  Biomed Eng Online       Date:  2006-10-23       Impact factor: 2.819

7.  Effects of forward model errors on EEG source localization.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  Brain Topogr       Date:  2013-01-26       Impact factor: 3.020

8.  Influence of head models on EEG simulations and inverse source localizations.

Authors:  Ceon Ramon; Paul H Schimpf; Jens Haueisen
Journal:  Biomed Eng Online       Date:  2006-02-08       Impact factor: 2.819

9.  Dynamic imaging of coherent sources reveals different network connectivity underlying the generation and perpetuation of epileptic seizures.

Authors:  Lydia Elshoff; Muthuraman Muthuraman; Abdul Rauf Anwar; Günther Deuschl; Ulrich Stephani; Jan Raethjen; Michael Siniatchkin
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

10.  Skull Defects in Finite Element Head Models for Source Reconstruction from Magnetoencephalography Signals.

Authors:  Stephan Lau; Daniel Güllmar; Lars Flemming; David B Grayden; Mark J Cook; Carsten H Wolters; Jens Haueisen
Journal:  Front Neurosci       Date:  2016-04-07       Impact factor: 4.677

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