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Computational Intelligence and Neuroscience
Volume 2007 (2007), Article ID 58253, 10 pages
http://dx.doi.org/10.1155/2007/58253
Research Article

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

1ESAT-SISTA, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, Heverlee-Leuven 3001, Belgium
2CNRS-ETIS, 6 Avenue du Ponceau BP 44, Cergy-Pontoise 95014, France
3Department of Neurology, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Herestraat 49, Leuven 3000, Belgium

Received 16 February 2007; Revised 13 June 2007; Accepted 2 October 2007

Academic Editor: Andrzej Cichocki

Copyright © 2007 Maarten De Vos 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. J. Engel Jr., “Update on surgical treatment of the epilepsies: summary of the second international palm desert conference on the surgical treatment of the epilepsies (1992),” Neurology, vol. 43, no. 8, pp. 1612–1617, 1993. View at Google Scholar
  2. F. Rosenow and H. Lüders, “Presurgical evaluation of epilepsy,” Brain, vol. 124, no. 9, pp. 1683–1700, 2001. View at Publisher · View at Google Scholar
  3. S. Baillet, J. C. Mosher, and R. M. Leahy, “Electromagnetic brain mapping,” IEEE Signal Processing Magazine, vol. 18, no. 6, pp. 14–30, 2001. View at Publisher · View at Google Scholar
  4. C. Michel, M. Murray, G. Lantz, S. Gonzalez, L. Spinelli, and R. Grave de Peralta, “EEG source imaging,” Clinical Neurophysiology, vol. 115, no. 10, pp. 2195–2222, 2004. View at Publisher · View at Google Scholar
  5. R. Pascual-Marqui, C. Michel, and D. Lehmann, “Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain,” International Journal of Psychophysiology, vol. 18, no. 1, pp. 49–65, 1994. View at Publisher · View at Google Scholar
  6. M. Scherg and D. Von Cramon, “Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model,” Electroencephalography and Clinical Neurophysiology, vol. 62, no. 1, pp. 32–44, 1985. View at Publisher · View at Google Scholar
  7. I. Merlet and J. Gotman, “Reliability of dipole models of epileptic spikes,” Clinical Neurophysiology, vol. 110, no. 6, pp. 1013–1028, 1999. View at Publisher · View at Google Scholar
  8. K. Kobayashi, H. Yoshinaga, Y. Ohtsuka, and J. Gotman, “Dipole modeling of epileptic spikes can be accurate or misleading,” Epilepsia, vol. 46, no. 3, pp. 397–408, 2005. View at Publisher · View at Google Scholar
  9. J. Gotman, “Noninvasive methods for evaluating the localization and propagation of epileptic activity,” Epilepsia, vol. 44, 12, pp. 21–29, 2003. View at Publisher · View at Google Scholar
  10. A. Vergult, W. De Clercq, A. Palmini et al., “Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal,” Epilepsia, vol. 48, no. 5, pp. 950–958, 2007. View at Publisher · View at Google Scholar
  11. T. Krings, K. H. Chiappa, B. N. Cuffin, B. R. Buchbinder, and G. R. Cosgrove, “Accuracy of electroencephalographic dipole localization of epileptiform activities associated with focal brain lesions,” Annals of Neurology, vol. 44, no. 1, pp. 76–86, 1998. View at Publisher · View at Google Scholar
  12. T. B. J. Wiederin, K. H. Chiappa, T. Krings et al., “The utility of dipole source analysis of seizure onsets in the localization of epileptogenic zones as assessed by postsurgical outcome,” Journal of Contemporary Neurology, vol. 1A, pp. 2–11, 1999. View at Google Scholar
  13. S. Mine, H. Iwasa, Y. Kasagi, and A. Yamaura, “Ictal dipole source analysis based on a realistic scalp-skull-brain head model in localizing the epileptogenic zone,” Neuroscience Research, vol. 51, no. 4, pp. 453–461, 2005. View at Publisher · View at Google Scholar
  14. J. S. Ebersole, “Noninvasive localization of epileptogenic foci by EEG source modeling,” Epilepsia, vol. 41, 3, pp. S24–S33, 2000. View at Publisher · View at Google Scholar
  15. P. Boon, M. D'Havé, B. Vanrumste et al., “Ictal source localization in presurgical patients with refractory epilepsy,” Journal of Clinical Neurophysiology, vol. 19, no. 5, pp. 461–468, 2002. View at Publisher · View at Google Scholar
  16. J. Gotman, “Automatic recognition of epileptic seizures in the EEG,” Electroencephalography and Clinical Neurophysiology, vol. 54, no. 5, pp. 530–540, 1982. View at Publisher · View at Google Scholar
  17. D. W. Klass, “The continuing challenge of artifacts in the EEG,” American Journal of EEG Technology, vol. 35, no. 4, pp. 239–269, 1995. View at Google Scholar
  18. L. Ding, G. A. Worrell, T. D. Lagerlund, and B. He, “Ictal source analysis: localization and imaging of causal interactions in humans,” NeuroImage, vol. 34, no. 2, pp. 575–586, 2007. View at Publisher · View at Google Scholar
  19. H. Hallez, A. Vergult, R. Phlypo et al., “Muscle and eye movement artifact removal prior to EEG source localization,” in Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '06), pp. 1002–1005, New York, NY, USA, August 2006. View at Publisher · View at Google Scholar
  20. E. Urrestarazu, J. Iriarte, M. Alegre, M. Valencia, C. Viteri, and J. Artieda, “Independent component analysis removing artifacts in ictal recordings,” Epilepsia, vol. 45, no. 9, pp. 1071–1078, 2004. View at Publisher · View at Google Scholar
  21. P. LeVan, E. Urrestarazu, and J. Gotman, “A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification,” Clinical Neurophysiology, vol. 117, no. 4, pp. 912–927, 2006. View at Publisher · View at Google Scholar
  22. L. Zhukov, D. Weinstein, and C. Johnson, “Independent component analysis for EEG source localization,” IEEE Transactions on Engineering in Medicine and Biology Magazine, vol. 19, no. 3, pp. 87–96, 2000. View at Publisher · View at Google Scholar
  23. K. Kobayashi, I. Merlet, and J. Gotman, “Separation of spikes from background by independent component analysis with dipole modeling and comparison to intracranial recording,” Clinical Neurophysiology, vol. 112, no. 3, pp. 405–413, 2001. View at Publisher · View at Google Scholar
  24. M. De Vos, A. Vergult, L. De Lathauwer et al., “Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone,” NeuroImage, vol. 37, no. 3, pp. 844–854, 2007. View at Publisher · View at Google Scholar
  25. F. Miwakeichi, E. Martínez-Montes, P. A. Valdés-Sosa, N. Nishiyama, H. Mizuhara, and Y. Yamaguchi, “Decomposing EEG data into space-time-frequency components using parallel factor analysis,” NeuroImage, vol. 22, no. 3, pp. 1035–1045, 2004. View at Publisher · View at Google Scholar
  26. E. Martínez-Montes, P. A. Valdés-Sosa, F. Miwakeichi, R. I. Goldman, and M. S. Cohen, “Concurrent EEG/fMRI analysis by multiway partial least squares,” NeuroImage, vol. 22, no. 3, pp. 1023–1034, 2004. View at Publisher · View at Google Scholar
  27. F. L. Hitchcock, “The expression of a tensor or a polyadic as a sum of products,” Journal of Mathematical Physics, vol. 6, pp. 164–189.
  28. J. D. Carroll and J.-J. Chang, “Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition,” Psychometrika, vol. 35, no. 3, pp. 283–319, 1970. View at Publisher · View at Google Scholar
  29. R. A. Harshman, “Foundations of the parafac procedure: models and conditions for an ‘explanation’ multi-modal factor analysis,” 1970, UCLA Working Papers in Phonetics, 16. View at Google Scholar
  30. A. Smilde, R. Bro, and P. Geladi, Multi-Way Analysis with Applications in the Chemical Sciences, John Wiley & Sons, New York, NY, USA, 2004.
  31. J. B. Kruskal, “Three-way arrays: rank and uniqueness of trilinear decomposition with applications to arithmetic complexity and statistics,” Linear Algebra and Its Applications, vol. 18, no. 2, pp. 95–138, 1977. View at Publisher · View at Google Scholar
  32. N. D. Sidiropoulos and R. Bro, “On the uniqueness of multilinear decomposition of n-way arrays,” Journal of Chemometrics, vol. 14, no. 3, pp. 229–239, 2000. View at Publisher · View at Google Scholar
  33. A. Stegeman and N. D. Sidiropoulos, “On Kruskal's uniqueness condition for the Candecomp/Parafac decomposition,” Linear Algebra and Its Applications, vol. 420, no. 2-3, pp. 540–552, 2007. View at Publisher · View at Google Scholar
  34. L. De Lathauwer, “A link between the canonical decomposition in multilinear algebra and simultaneous matrix diagonalization,” SIAM Journal on Matrix Analysis and Applications, vol. 28, no. 3, pp. 642–666, 2006. View at Publisher · View at Google Scholar
  35. P. Paatero, “The multilinear engine: a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model,” Journal of Computational and Graphical Statistics, vol. 8, no. 4, pp. 854–888, 1999. View at Publisher · View at Google Scholar
  36. L. De Lathauwer, B. De Moor, and J. Vandewalle, “Computation of the canonical decomposition by means of a simultaneous generalized schur decomposition,” SIAM Journal on Matrix Analysis and Applications, vol. 26, no. 2, pp. 295–327, 2004. View at Publisher · View at Google Scholar
  37. S. A. Vorobyov, Y. Rong, N. D. Sidiropoulos, and A. B. Gershman, “Robust iterative fitting of multilinear models,” IEEE Transactions on Signal Processing, vol. 53, no. 8, part 1, pp. 2678–2689, 2005. View at Publisher · View at Google Scholar
  38. E. Acar, C. Aykut-Bingol, H. Bingol, R. Bro, and B. Yener, “Multiway analysis of epilepsy tensors,” Bioinformatics, vol. 23, no. 13, pp. i10–i18, 2007. View at Publisher · View at Google Scholar
  39. M. A. Kulesh, M. S. Diallo, and M. Holschneider, “Wavelet analysis of ellipticity, dispersion, and dissipation properties of Rayleigh waves,” Acoustical Physics, vol. 51, no. 4, pp. 425–434, 2005. View at Publisher · View at Google Scholar
  40. Y. Salu, L. G. Cohen, D. Rose, S. Sato, C. Kufta, and M. Hallett, “An improved method for localizing electric brain dipoles,” IEEE Transactions on Biomedical Engineering, vol. 37, no. 7, pp. 699–705, 1990. View at Publisher · View at Google Scholar
  41. T. F. Oostendorp, J. Delbeke, and D. F. Stegeman, “The conductivity of the human skull: results of in vivo and in vitro measurements,” IEEE Transactions on Biomedical Engineering, vol. 47, no. 11, pp. 1487–1492, 2000. View at Publisher · View at Google Scholar
  42. B. N. Cuffin, D. Cohen, K. Yunokuchi et al., “Tests of EEG localization accuracy using implanted sources in the human brain,” Annals of Neurology, vol. 29, no. 2, pp. 132–138, 1991. View at Google Scholar
  43. M. R. Nuwer, G. Comi, R. Emerson et al., “IFCN standards for digital recording of clinical EEG,” Electroencephalography and Clinical Neurophysiology, vol. 106, no. 3, pp. 259–261, 1998. View at Publisher · View at Google Scholar
  44. E. Niedermeyer, “Epilepstic seizure disorder,” in Electroencephalography: Basic Principels, Clinical Applications and Related Fields, E. Niedermeyer and F. Lopes da Silva, Eds., Urban and Swarzenberg, Baltimore, Md, USA, 2nd edition, 1987, chapter 27. View at Google Scholar
  45. R. Oostenveld and P. Praamstra, “The five percent electrode system for high-resolution EEG and ERP measurements,” Clinical Neurophysiology, vol. 112, no. 4, pp. 713–719, 2001. View at Publisher · View at Google Scholar
  46. W. De Clercq, A. Vergult, B. Vanrumste, W. Van Paesschen, and S. Van Huffel, “Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 12, part 1, pp. 2583–2587, 2006. View at Publisher · View at Google Scholar
  47. G. Van Hoey, B. Vanrumste, M. D'Havé, R. Van de Walle, I. Lemahieu, and P. Boon, “Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation,” Medical and Biological Engineering and Computing, vol. 38, no. 3, pp. 287–296, 2000. View at Publisher · View at Google Scholar