Influence of white matter inhomogeneous anisotropy on EEG forward computing

Australasian Physical and Engineering Sciences in Medicine

Volumn 31, Issue 2, 2008, Pages 122-130

  Bashar, Rezaul ^a   Li, Y ^a   Wen, P ^a  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

Conductivity ratio approximation; Finite element method; Inhomogeneous anisotropic conductivity; Statistical conductivity approximation

Indexed keywords

ANISOTROPY;

ANISOTROPIC CONDUCTIVITY; ANISOTROPIC MODELS; CONDUCTIVITY RATIO; CONSTRAINT METHODS; HUMAN HEAD; ISOTROPIC MODELS; STATISTICAL CONDUCTIVITY APPROXIMATION; WHITE MATTER;

FINITE ELEMENT METHOD;

ANISOTROPY; ARTICLE; CALCULATION; ELECTRIC CONDUCTIVITY; ELECTROENCEPHALOGRAM; FINITE ELEMENT ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; WHITE MATTER;

EID: 48049093890     PISSN: 01589938     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03178586     Document Type: Article

References (32)

1. Kervinen, M., Vauhkonen, M. and Karjalamen, P. A., New Continuous Current density Model for EEG, Biosignal Analysis and Medical Imaging Group, University of Kuopio, Finland (http://bsamig.uku.fi/pdf/ CDmanuscript.pdf).
2. Wen, P., Human Head Modelling and Computation for the EEG Forward Problem, PhD dissertation, The Flinders University of South Australia, Australia, 2000.
3. Muravchik, C. and Nehorai, A., EEG/MEG Error Bounds for a Static Dipole Source with a Realistic Head Model, IEEE Transactions on Biomedical Engineering, 49(3), 470-483, 2001.
4. Xie, Y., Yuan, J., Ma, X. and Guan, X., Calculating of EEG problems with Anisotropic Conducting Media by the Finite Volume Method, IEEE Transactions on Magnetics, 37(5), 3749-3752, 2001.
5. Hallez, H., Hese, V., Vanrumste, B., Boon, P., Asseler, Y. D., Lemahieu, I. and Walle, R. Van de, Dipole Localization Errors due to not Incorporating Layers with Anisotropic Conductivities: Simulation Study in a Spherical Head Model, International Journal of Bioelectromagnetism (IJBEM), 7(1), 134-137, 2005.
6. Wolters, C. H., Influence of Tissue Conductivity Inhomogeneity and Anisotropy on EEG/MEG based Source Localization in the Human Brain, PhD dissertation, University of Leipzig, France, 2003.
7. Wolters, C. H., Anwander, A., Tricoche, X., Weinstein, D., Koch, M. A. and MacLeod, R. S., Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modelling, Journal of NeuroImage, Elsevier, 30, 813-826, 2006.
8. Marin, G., Guerin, C., Baillet, S., Garnero, L. and Meunier, G., Influence of Skull Anisotropy for the Forward and Inverse Problem in EEG: Simulation Studies using FEM on Realistic Head Models, Journal of Brain Mappings, 6, 250-269, 1998.
9. Nicolas, C., Xavier, F., Bernard, D., Bernard, R., Jean, P. M. and Pierre, C., Effects of Skull Thickness, Anisotropy, and Inhomogeneity on Forward EEG/ERP Computations Using Spherical Three-Dimensional Resistor Mesh Model, Journal of Human Brain Mapping, 21, 86-97, 2004.
10. Bruno, P., Hyttinen J., Inchingolo, P., Magrofuoco, A. , Mininel, S. and Vatta, F., A FDM anisotropic formulation for EEG simulation, IEEE EMBS Annual International Conference, New York, USA, 1121-1125, 2006.
11. Li, L., Wang, K., Zhu, S., Mueller, K., Lim, K., Liu, Z. and He, B., A Study of White Matter Anisotropic conductivity on EEG Forward Solutions, Proceedings of Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging (NFSI & ICFBI-IEEE explorer), 130-132, 2007.
12. Gullmar, D., Haueisen, J., Wiselt, M., Giebler, F., Flemming, L., Anwander, A. Thomas, R. K., Wolters, C. H., Dumpelmann, M., David, S. T. and Jurgen, R. R., Influence of Anisotropic Conductivity on EEG source Reconstruction: Investigations in a Rabbit Model, IEEE Transactions on Biomedical Engineering, 53(9), 1841-1850, 2006.
13. Gullmar, D., Jurgen, R. R. and Haueisen, J., Influence of anisotropic conductivity on EEG forward and inverse solution, Proceedings of Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging (NFSI & ICFBI-IEEE explorer), 124-126, 2007.
14. Hallez, H., Vanrumste, B., Hese, P. V., Delputte, S., and Lemahieu, I., Dipole estimation errors due to differences in modelling anisotropic conductivities in realistic head models for EEG source analysis, Journal of Physics in Medicine and Biology, IOP Publishing, 53, 1877-1894, 2008.
15. Wang, Y., David, R. H. and Kim, Y., An Investigation of the Importance of Myocardial Anisotropy in Finite-Element Modeling of the Heart: Methodology and Application to the Estimation of Defibrillation Efficacy, IEEE Transactions on Biomedical Engineering, 48(12), 1377-1389, 2001.
16. Kim, S., Kim, T. S., Zhou, Y. and Singh, M., Influence of Conductivity Tensors in the Finite Element Model of the Head on the Forward Solution of EEG, IEEE conference on Nuclear Science Symposium Conference Record, 1892-1896, 2001.
17. Wen, P. and Li, Y., EEG human head modelling based on heterogeneous tissue conductivity, Australasian Physical & Engineering Sciences in Medicine, 29(3), 235-240, 2006.
18. Marc, A. C., John, L. L. and Solomon, R. E., A Three-Dimensional Finite Element Model of Human Transthoracic Defibrillation: Paddle Placement and Size, IEEE Transactions on Biomedical Engineering, 42(6), 572-578, 1995.
19. Klepfer, R. N., Johnson, C. R. and Robert, S. M., The effects of Inhomogeneities and Anisotropies on Electrocardiographic Fields: A 3-D Finite -element Study, IEEE Transactions on Biomedical Engineering, 44(8), 706-7l9, 1997.
20. Yan, Y., Nunez, P. L. and Hart, R. T., Finite-element model of the human head: scalp potentials due to dipole sources, Journal of Medical & Biological Engineering & Computing, 29, 475-481, 1991.
21. Basser, P., Mattiello, J. and LeBihan, D., MR diffusion tensor spectroscopy and imaging, Biophysical Journal, 66, 259-267, 1994.
22. Zhao, X., Wang, M., Gao, W. and Liu, H., White Matter Fiber Tracking Method by Vector Interpolation with Diffusion Tensor Imaging Data in Human Brain, Proceedings of the IEEE Engineering in Medicine and Biology 27 th Annual Conference, 5786-5789, 2005.
23. Hauseisen, J., Ramon, C., Eiselt, M., Brauer, H. and Nowak, H., Influence of Tissue Resistivities on Neuromagnetic Fields and Electric Potentials studied with a Finite Element Model of the Head, IEEE Transactions on Biomedical Engineering, 44(8), 727-735, 1997.
24. Shimony, J. S., McKinstry, R., Akbudak, E., Aronovitz, J. A., Snyder, A. Z., Lori, N. F., Cull, T. S. and Conturo, T.E., Quantitative diffusion-tensor anisotropy brain MR imaging: Normative human data and anatomical analysis, Radiology, 212, 770-784, 1999.
25. http://en.wikipedia.org/wiki/Rayleigh_distribution
26. Rodney, F. W., Gareth, J. J. and Kenneth, V. L., Monte Carlo Simulation and Random Number Generation, IEEE Journal on Selected Areas in Communications, 6(1), 58-66, 1988.
27. Baillet, S., Mosher, J. C. and Leahy R. M., Electromagnetic Brain Imaging using Brainstorm, IEEE International Symposium on Biomedical Engineering: Macro to Nano, 652-655, 2004.
28. Meijis, J.W., Weier, O. W., Peters, M. J. and Oosterom, A. van, On the numerical accuracy of the boundary element method, IEEE Transactions on Biomedical Engineering, 36(10), 1038-1049, 1989.
29. The Matlab, Mathworks limited.
30. http://en.wikipedia.org/wiki/Cerebral_cortex
31. Wolters, C. H., Anwander, A., Tricoche, X., Lew, B., and Johnson, C. R., Influence of Local and Remote White Matter Conductivity Anisotropy for a Thalamic Source on EEG/MEG Field and Return Current Computation, International Journal of Bioelectromagnetism (IJEM), 7(1), 203-206, 2005.
32. Noirhomme, Q., Kitney, R. I., and Macq, B., Single-Trial EEG Source Reconstruction for Brain-Computer Interface, IEEE Transactions on Biomedical Engineering, 55(5), 1592-1601, 2008.