Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2010 (2010), Article ID 972060, 11 pages
http://dx.doi.org/10.1155/2010/972060
Research Article

Realistic and Spherical Head Modeling for EEG Forward Problem Solution: A Comparative Cortex-Based Analysis

1DEEI, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy
2Department of Neurological Sciences, University of Naples Federico II, II Policlinico Padiglione 17, Via S. Pansini 5, 80131 Naples, Italy
3Department of Cognitive Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands

Received 24 June 2009; Revised 20 August 2009; Accepted 9 November 2009

Academic Editor: Fabio Babiloni

Copyright © 2010 Federica Vatta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. He, Ed., Neural Engineering Norwell, Kluwer Academic Publishers, Boston, Mass, USA, 2005.
  2. F. Vatta, P. Bruno, and P. Inchingolo, “Improving lesion conductivity estimate by means of EEG source localization sensitivity to model parameter,” Journal of Clinical Neurophysiology, vol. 19, no. 1, pp. 1–15, 2002. View at Google Scholar
  3. J. S. Ebersole and S. Hawes-Ebersole, “Clinical application of dipole models in the localization of epileptiform activity,” Journal of Clinical Neurophysiology, vol. 24, no. 2, pp. 120–129, 2007. View at Publisher · View at Google Scholar · View at PubMed
  4. P. L. Nunez and R. Srinivasan, Electrical Fields of the Brain: The Neurophysics of EEG, Oxford University Press, New York, NY, USA, 2005.
  5. A. M. Dale and M. I. Sereno, “Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach,” Journal of Cognitive Neuroscience, vol. 5, no. 2, pp. 162–176, 1993. View at Google Scholar
  6. F. Vatta, P. Bruno, and P. Inchingolo, “Multiregion bicentric-spheres models of the head for the simulation of bioelectric phenomena,” IEEE Transactions on Biomedical Engineering, vol. 52, no. 3, pp. 384–389, 2005. View at Publisher · View at Google Scholar · View at PubMed
  7. J. J. Ermer, J. C. Mosher, S. Baillet, and R. M. Leahy, “Rapidly recomputable EEG forward models for realistic head shapes,” Physics in Medicine and Biology, vol. 46, no. 4, pp. 1265–1281, 2001. View at Publisher · View at Google Scholar
  8. M. Fuchs, R. Drenckhahn, H.-A. Wischmann, and M. Wagner, “An improved boundary element method for realistic volume-conductor modeling,” IEEE Transactions on Biomedical Engineering, vol. 45, no. 8, pp. 980–997, 1998. View at Publisher · View at Google Scholar · View at PubMed
  9. Y. Zhang, L. Ding, W. van Drongelen, K. Hecox, D. M. Frim, and B. He, “A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method,” Neuroimage, vol. 31, no. 4, pp. 1513–1524, 2006. View at Publisher · View at Google Scholar · View at PubMed
  10. B. Vanrumste, G. van Hoey, R. van de Walle, M. R. P. D'Havé, I. A. Lemahieu, and P. A. Boon, “The validation of the finite difference method and reciprocity for solving the inverse problem in EEG dipole source analysis,” Brain Topography, vol. 14, no. 2, pp. 83–92, 2001. View at Publisher · View at Google Scholar
  11. C. Ramon, P. H. Schimpf, and J. Haueisen, “Influence of head models on EEG simulations and inverse source localizations,” BioMedical Engineering Online, vol. 5, article 10, 2006. View at Publisher · View at Google Scholar · View at PubMed
  12. H. Hallez, B. Vanrumste, R. Grech et al., “Review on solving the forward problem in EEG source analysis,” Journal of NeuroEngineering and Rehabilitation, vol. 4, article 46, 2007. View at Publisher · View at Google Scholar · View at PubMed
  13. M. Fuchs, M. Wagner, and J. Kastner, “Boundary element method volume conductor models for EEG source reconstruction,” Clinical Neurophysiology, vol. 112, no. 8, pp. 1400–1407, 2001. View at Publisher · View at Google Scholar
  14. M. Fuchs, M. Wagner, and J. Kastner, “Development of volume conductor and source models to localize epileptic foci,” Journal of Clinical Neurophysiology, vol. 24, no. 2, pp. 101–119, 2007. View at Publisher · View at Google Scholar · View at PubMed
  15. C. Ramon, J. Haueisen, and P. H. Schimpf, “Influence of head models on neuromagnetic fields and inverse source localizations,” BioMedical Engineering Online, vol. 5, article 55, 2006. View at Publisher · View at Google Scholar · View at PubMed
  16. B. N. Cuffin, “Effects of head shape on EEG's and MEG's,” IEEE Transactions on Biomedical Engineering, vol. 37, no. 1, pp. 44–52, 1990. View at Publisher · View at Google Scholar · View at PubMed
  17. B. Roth, A. Gorbach, and S. Sato, “How well does a three-shell model predict positions of dipoles in a realistically shaped head?” Electroencephalography and Clinical Neurophysiology, vol. 87, pp. 175–184, 1993. View at Google Scholar
  18. B. Yvert, O. Bertrand, M. Thévenet, J. F. Echallier, and J. Pernier, “A systematic evaluation of the spherical model accuracy in EEG dipole localization,” Electroencephalography and Clinical Neurophysiology, vol. 102, no. 5, pp. 452–459, 1997. View at Publisher · View at Google Scholar
  19. J. P. Ary, S. A. Klein, and D. H. Fender, “Location of sources of evoked scalp potentials: corrections for skull and scalp thicknesses,” IEEE Transactions on Biomedical Engineering, vol. 28, no. 6, pp. 447–452, 1981. View at Google Scholar
  20. B. N. Cuffin, “Effects of local variations in skull and scalp thickness on EEG's and MEG's,” IEEE Transactions on Biomedical Engineering, vol. 40, no. 1, pp. 42–48, 1993. View at Publisher · View at Google Scholar · View at PubMed
  21. G. Huiskamp, M. Vroeijenstijn, R. van Dijk, G. Wieneke, and A. C. van Huffelen, “The need for correct realistic geometry in the inverse EEG problem,” IEEE Transactions on Biomedical Engineering, vol. 46, no. 11, pp. 1281–1287, 1999. View at Publisher · View at Google Scholar
  22. N. von Ellenrieder, C. H. Muravchik, and A. Nehorai, “Effects of geometric head model perturbations on the EEG forward and inverse problems,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 3, pp. 421–429, 2006. View at Publisher · View at Google Scholar · View at PubMed
  23. D. Van't Ent, J. C. de Munck, and A. L. Kaas, “A fast method to derive realistic BEM models for E/MEG source reconstruction,” IEEE Transactions on Biomedical Engineering, vol. 48, no. 12, pp. 1434–1443, 2001. View at Publisher · View at Google Scholar · View at PubMed
  24. M. Fuchs, J. Kastner, M. Wagner, S. Hawes, and J. S. Ebersole, “A standardized boundary element method volume conductor model,” Clinical Neurophysiology, vol. 113, no. 5, pp. 702–712, 2002. View at Publisher · View at Google Scholar
  25. N. von Ellenrieder, C. H. Muravchik, M. Wagner, and A. Nehorai, “Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems,” IEEE Transactions on Biomedical Engineering, vol. 56, no. 3, pp. 587–597, 2009. View at Publisher · View at Google Scholar · View at PubMed
  26. K. A. Awada, D. R. Jackson, S. B. Baumann et al., “Effect of conductivity uncertaintiesand modeling errors on eeg source localization using a 2-D model,” IEEE Transactions on Biomedical Engineering, vol. 45, no. 9, pp. 1135–1145, 1998. View at Google Scholar
  27. A. M. Dale, A. K. Liu, B. R. Fischl et al., “Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity,” Neuron, vol. 26, no. 1, pp. 55–67, 2000. View at Google Scholar
  28. A. K. Liu, A. M. Dale, and J. W. Belliveau, “Monte Carlo simulation studies of EEG and MEG localization accuracy,” Human Brain Mapping, vol. 16, no. 1, pp. 47–62, 2002. View at Publisher · View at Google Scholar · View at PubMed
  29. R. D. Pascual-Marqui, “Review of methods for solving the EEG inverse problem,” International Journal of Bioelectromagnetism, vol. 1, no. 1, pp. 75–86, 1999. View at Google Scholar
  30. D. Weinstein, L. Zhukov, and C. Johnson, “Lead-field bases for electroencephalography source imaging,” Annals of Biomedical Engineering, vol. 28, no. 9, pp. 1059–1065, 2000. View at Publisher · View at Google Scholar