Literature DB >> 9735563

Effect of conductivity uncertainties and modeling errors on EEG source localization using a 2-D model.

K A Awada1, D R Jackson, S B Baumann, J T Williams, D R Wilton, P W Fink, B R Prasky.   

Abstract

This paper presents a sensitivity study of electroencephalography-based source localization due to errors in the head-tissue conductivities and to errors in modeling the conductivity variation inside the brain and scalp. The study is conducted using a two-dimensional (2-D) finite element model obtained from a magnetic resonance imaging (MRI) scan of a head cross section. The effect of uncertainty in the following tissues is studied: white matter, gray matter, cerebrospinal fluid (CSF), skull, and fat. The distribution of source location errors, assuming a single-dipole source model, is examined in detail for different dipole locations over the entire brain region. We also present a detailed analysis of the effect of conductivity on source localization for a four-layer cylinder model and a four-layer sphere model. These two simple models provide insight into how the effect of conductivity on boundary potential translates into source location errors, and also how errors in a 2-D model compare to errors in a three-dimensional model. Results presented in this paper clearly point to the following conclusion: unless the conductivities of the head tissues and the distribution of these tissues throughout the head are modeled accurately, the goal of achieving localization accuracy to within a few millimeters is unattainable.

Mesh:

Year:  1998        PMID: 9735563     DOI: 10.1109/10.709557

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


  15 in total

1.  Dipole location errors in electroencephalogram source analysis due to volume conductor model errors.

Authors:  B Vanrumste; G Van Hoey; R Van de Walle; M D'Havé; I Lemahieu; P Boon
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Generic head models for atlas-based EEG source analysis.

Authors:  Felix Darvas; John J Ermer; John C Mosher; Richard M Leahy
Journal:  Hum Brain Mapp       Date:  2006-02       Impact factor: 5.038

3.  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

4.  Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity.

Authors:  Won Hee Lee; Zhi-De Deng; Tae-Seong Kim; Andrew F Laine; Sarah H Lisanby; Angel V Peterchev
Journal:  Neuroimage       Date:  2011-10-18       Impact factor: 6.556

5.  Forward and inverse electroencephalographic modeling in health and in acute traumatic brain injury.

Authors:  Andrei Irimia; S Y Matthew Goh; Carinna M Torgerson; Micah C Chambers; Ron Kikinis; John D Van Horn
Journal:  Clin Neurophysiol       Date:  2013-06-06       Impact factor: 3.708

6.  Electric Field Model of Transcranial Electric Stimulation in Nonhuman Primates: Correspondence to Individual Motor Threshold.

Authors:  Won Hee Lee; Sarah H Lisanby; Andrew F Laine; Angel V Peterchev
Journal:  IEEE Trans Biomed Eng       Date:  2015-04-22       Impact factor: 4.538

7.  The relationship between conductivity uncertainties and EEG source localization accuracy.

Authors:  Gang Wang; Lin Yang; Gregory Worrell; Bin He
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  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

9.  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

10.  Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics.

Authors:  B Q Rosen; G P Krishnan; P Sanda; M Komarov; T Sejnowski; N Rulkov; I Ulbert; L Eross; J Madsen; O Devinsky; W Doyle; D Fabo; S Cash; M Bazhenov; E Halgren
Journal:  J Neurosci Methods       Date:  2018-10-06       Impact factor: 2.390

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