A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation
- PMID: 19264145
- DOI: 10.1016/j.neuroimage.2009.02.024
A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation
Abstract
A mathematical dipole is widely used as a model for the primary current source in electroencephalography (EEG) source analysis. In the governing Poisson-type differential equation, the dipole leads to a singularity on the right-hand side, which has to be treated specifically. In this paper, we will present a full subtraction approach where the total potential is divided into a singularity and a correction potential. The singularity potential is due to a dipole in an infinite region of homogeneous conductivity. The correction potential is computed using the finite element (FE) method. Special care is taken in order to evaluate the right-hand side integral appropriately with the objective of achieving highest possible convergence order for linear basis functions. Our new approach allows the construction of transfer matrices for fast computation of the inverse problem for anisotropic volume conductors. A constrained Delaunay tetrahedralisation (CDT) approach is used for the generation of high-quality FE meshes. We validate the new approach in a four-layer sphere model with a highly conductive cerebrospinal fluid (CSF) and an anisotropic skull compartment. For radial and tangential sources with eccentricities up to 1 mm below the CSF compartment, we achieve a maximal relative error of 0.71% in a CDT-FE model with 360 k nodes which is not locally refined around the source singularity and therefore useful for arbitrary dipole locations. The combination of the full subtraction approach with the high quality CDT meshes leads to accuracies that, to the best of the author's knowledge, have not yet been presented before.
Similar articles
-
Geometry-adapted hexahedral meshes improve accuracy of finite-element-method-based EEG source analysis.IEEE Trans Biomed Eng. 2007 Aug;54(8):1446-53. doi: 10.1109/TBME.2007.890736. IEEE Trans Biomed Eng. 2007. PMID: 17694865
-
Use of the isolated problem approach for multi-compartment BEM models of electro-magnetic source imaging.Phys Med Biol. 2005 Jul 7;50(13):3007-22. doi: 10.1088/0031-9155/50/13/003. Epub 2005 Jun 8. Phys Med Biol. 2005. PMID: 15972977
-
Dipole estimation errors due to differences in modeling anisotropic conductivities in realistic head models for EEG source analysis.Phys Med Biol. 2008 Apr 7;53(7):1877-94. doi: 10.1088/0031-9155/53/7/005. Epub 2008 Mar 10. Phys Med Biol. 2008. PMID: 18364544
-
[Models and computation methods of EEG forward problem].Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2004 Apr;21(2):337-9. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2004. PMID: 15143572 Review. Chinese.
-
Models of the human brain and the surrounding media: their influence on the reliability of source localization.J Clin Neurophysiol. 1991 Oct;8(4):381-90. doi: 10.1097/00004691-199110000-00003. J Clin Neurophysiol. 1991. PMID: 1761704 Review.
Cited by
-
The FieldTrip-SimBio pipeline for EEG forward solutions.Biomed Eng Online. 2018 Mar 27;17(1):37. doi: 10.1186/s12938-018-0463-y. Biomed Eng Online. 2018. PMID: 29580236 Free PMC article.
-
The smartphone brain scanner: a portable real-time neuroimaging system.PLoS One. 2014 Feb 5;9(2):e86733. doi: 10.1371/journal.pone.0086733. eCollection 2014. PLoS One. 2014. PMID: 24505263 Free PMC article. Clinical Trial.
-
The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem.Front Neurosci. 2018 Feb 2;12:30. doi: 10.3389/fnins.2018.00030. eCollection 2018. Front Neurosci. 2018. PMID: 29456487 Free PMC article.
-
Modeling of the human skull in EEG source analysis.Hum Brain Mapp. 2011 Sep;32(9):1383-99. doi: 10.1002/hbm.21114. Epub 2010 Aug 5. Hum Brain Mapp. 2011. PMID: 20690140 Free PMC article.
-
Sensitivity of beamformer source analysis to deficiencies in forward modeling.Hum Brain Mapp. 2010 Dec;31(12):1907-27. doi: 10.1002/hbm.20986. Epub 2010 May 24. Hum Brain Mapp. 2010. PMID: 21086549 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources