Literature DB >> 20690140

Modeling of the human skull in EEG source analysis.

Moritz Dannhauer1, Benjamin Lanfer, Carsten H Wolters, Thomas R Knösche.   

Abstract

We used computer simulations to investigate finite element models of the layered structure of the human skull in EEG source analysis. Local models, where each skull location was modeled differently, and global models, where the skull was assumed to be homogeneous, were compared to a reference model, in which spongy and compact bone were explicitly accounted for. In both cases, isotropic and anisotropic conductivity assumptions were taken into account. We considered sources in the entire brain and determined errors both in the forward calculation and the reconstructed dipole position. Our results show that accounting for the local variations over the skull surface is important, whereas assuming isotropic or anisotropic skull conductivity has little influence. Moreover, we showed that, if using an isotropic and homogeneous skull model, the ratio between skin/brain and skull conductivities should be considerably lower than the commonly used 80:1. For skull modeling, we recommend (1) Local models: if compact and spongy bone can be identified with sufficient accuracy (e.g., from MRI) and their conductivities can be assumed to be known (e.g., from measurements), one should model these explicitly by assigning each voxel to one of the two conductivities, (2) Global models: if the conditions of (1) are not met, one should model the skull as either homogeneous and isotropic, but with considerably higher skull conductivity than the usual 0.0042 S/m, or as homogeneous and anisotropic, but with higher radial skull conductivity than the usual 0.0042 S/m and a considerably lower radial:tangential conductivity anisotropy than the usual 1:10.
Copyright © 2010 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2010        PMID: 20690140      PMCID: PMC6869856          DOI: 10.1002/hbm.21114

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  45 in total

1.  Use of a priori information in estimating tissue resistivities--application to human data in vivo.

Authors:  Uğur Baysal; Jens Haueisen
Journal:  Physiol Meas       Date:  2004-06       Impact factor: 2.833

2.  Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals.

Authors:  Shingo Murakami; Yoshio Okada
Journal:  J Physiol       Date:  2006-04-13       Impact factor: 5.182

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  Effects of head shape on EEG's and MEG's.

Authors:  B N Cuffin
Journal:  IEEE Trans Biomed Eng       Date:  1990-01       Impact factor: 4.538

5.  The influence of skull-conductivity misspecification on inverse source localization in realistically shaped finite element head models.

Authors:  R Pohlmeier; H Buchner; G Knoll; A Rienäcker; R Beckmann; J Pesch
Journal:  Brain Topogr       Date:  1997       Impact factor: 3.020

6.  Demonstration of useful differences between magnetoencephalogram and electroencephalogram.

Authors:  D Cohen; B N Cuffin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1983-07

7.  Dielectric properties of mammalian tissues from 0.1 to 100 MHz: a summary of recent data.

Authors:  R D Stoy; K R Foster; H P Schwan
Journal:  Phys Med Biol       Date:  1982-04       Impact factor: 3.609

8.  A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation.

Authors:  F Drechsler; C H Wolters; T Dierkes; H Si; L Grasedyck
Journal:  Neuroimage       Date:  2009-03-03       Impact factor: 6.556

9.  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

10.  Measurement of the conductivity of skull, temporarily removed during epilepsy surgery.

Authors:  R Hoekema; G H Wieneke; F S S Leijten; C W M van Veelen; P C van Rijen; G J M Huiskamp; J Ansems; A C van Huffelen
Journal:  Brain Topogr       Date:  2003       Impact factor: 3.020

View more
  54 in total

1.  Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models.

Authors:  Mirko Windhoff; Alexander Opitz; Axel Thielscher
Journal:  Hum Brain Mapp       Date:  2011-11-23       Impact factor: 5.038

2.  Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target.

Authors:  Christian Schmidt; Sven Wagner; Martin Burger; Ursula van Rienen; Carsten H Wolters
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

Review 3.  The steady-state visual evoked potential in vision research: A review.

Authors:  Anthony M Norcia; L Gregory Appelbaum; Justin M Ales; Benoit R Cottereau; Bruno Rossion
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  A retrospective evaluation of automated optimization of deep brain stimulation parameters.

Authors:  Johannes Vorwerk; Andrea A Brock; Daria N Anderson; John D Rolston; Christopher R Butson
Journal:  J Neural Eng       Date:  2019-11-06       Impact factor: 5.379

5.  Tones and numbers: a combined EEG-MEG study on the effects of musical expertise in magnitude comparisons of audiovisual stimuli.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Nikolaos Foroglou; Panagiotis Bamidis; Christo Pantev
Journal:  Hum Brain Mapp       Date:  2014-06-11       Impact factor: 5.038

6.  Optimization of focality and direction in dense electrode array transcranial direct current stimulation (tDCS).

Authors:  Seyhmus Guler; Moritz Dannhauer; Burak Erem; Rob Macleod; Don Tucker; Sergei Turovets; Phan Luu; Deniz Erdogmus; Dana H Brooks
Journal:  J Neural Eng       Date:  2016-05-06       Impact factor: 5.379

7.  Benchmarking transcranial electrical stimulation finite element models: a comparison study.

Authors:  Aprinda Indahlastari; Munish Chauhan; Rosalind J Sadleir
Journal:  J Neural Eng       Date:  2019-01-03       Impact factor: 5.379

8.  A bio-impedance quantitative method based on magnetic induction tomography for intracranial hematoma.

Authors:  Li Ke; Wanni Zu; Qiang Du; Jia Chen; Xiaodi Ding
Journal:  Med Biol Eng Comput       Date:  2020-02-15       Impact factor: 2.602

9.  Automated MRI segmentation for individualized modeling of current flow in the human head.

Authors:  Yu Huang; Jacek P Dmochowski; Yuzhuo Su; Abhishek Datta; Christopher Rorden; Lucas C Parra
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.