Literature DB >> 10468356

Effects of local skull inhomogeneities on EEG source estimation.

J O Ollikainen1, M Vauhkonen, P A Karjalainen, J P Kaipio.   

Abstract

The accuracy of the head model affects the solutions of the EEG inverse problems. If a simple three-sphere model and standard conductivity values for brain, skull and scalp regions are used, significant errors may occur in the dipole localisation. One of the most sensitive head model parameters is the conductivity of the skull. A realistic three-dimensional finite-element model provides a method to study the effect of inhomogeneities of the skull on the solutions of EEG inverse problems. In this paper the effect of a local skull conductivity inhomogeneity on source estimation accuracy is analyzed by computer simulations for different numbers of electrodes. It is shown that if the inhomogeneity of the skull conductivity is not taken into account, localisation errors of approximately 1 cm can be encountered in the equivalent current dipole estimation. This modelling error introduces a bias to the solution which cannot be compensated by increasing the number of electrodes.

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Year:  1999        PMID: 10468356     DOI: 10.1016/s1350-4533(99)00038-7

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  13 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.  From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

Authors:  Samuel A Inverso; Xin-Lin Goh; Linda Henriksson; Simo Vanni; Andrew C James
Journal:  Hum Brain Mapp       Date:  2016-02-12       Impact factor: 5.038

3.  Modeling skull electrical properties.

Authors:  R J Sadleir; A Argibay
Journal:  Ann Biomed Eng       Date:  2007-07-14       Impact factor: 3.934

4.  A novel integrated MEG and EEG analysis method for dipolar sources.

Authors:  Ming-Xiong Huang; Tao Song; Donald J Hagler; Igor Podgorny; Veikko Jousmaki; Li Cui; Kathleen Gaa; Deborah L Harrington; Anders M Dale; Roland R Lee; Jeff Elman; Eric Halgren
Journal:  Neuroimage       Date:  2007-06-14       Impact factor: 6.556

5.  High-resolution electroencephalography and source localization in neonates.

Authors:  Nadège Roche-Labarbe; Ardalan Aarabi; Guy Kongolo; Catherine Gondry-Jouet; Matthias Dümpelmann; Reinhard Grebe; Fabrice Wallois
Journal:  Hum Brain Mapp       Date:  2008-02       Impact factor: 5.038

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.  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

8.  Accuracy and run-time comparison for different potential approaches and iterative solvers in finite element method based EEG source analysis.

Authors:  S Lew; C H Wolters; T Dierkes; C Röer; R S Macleod
Journal:  Appl Numer Math       Date:  2009-08       Impact factor: 2.468

9.  Simultaneous head tissue conductivity and EEG source location estimation.

Authors:  Zeynep Akalin Acar; Can E Acar; Scott Makeig
Journal:  Neuroimage       Date:  2015-08-22       Impact factor: 6.556

10.  EEG/MEG source imaging: methods, challenges, and open issues.

Authors:  Katrina Wendel; Outi Väisänen; Jaakko Malmivuo; Nevzat G Gencer; Bart Vanrumste; Piotr Durka; Ratko Magjarević; Selma Supek; Mihail Lucian Pascu; Hugues Fontenelle; Rolando Grave de Peralta Menendez
Journal:  Comput Intell Neurosci       Date:  2009-07-20
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