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Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 279560, 10 pages
http://dx.doi.org/10.1155/2012/279560
Research Article

Characteristics of Evoked Potential Multiple EEG Recordings in Patients with Chronic Pain by Means of Parallel Factor Analysis

1Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
2National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 10088, China
3Department of Anesthesia, Waikato Hospital, Hamilton 3204, New Zealand

Received 29 September 2011; Accepted 25 October 2011

Academic Editor: Sheng-yong Chen

Copyright © 2012 Juan Wang 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. E. Niedermeyer and F. L. da Silva, Electroencephalography: basic Principles, Clinical Applications, and Related Fields, Lippincott Williams & Wilkins, Philadelphia, Pa, USA, 5th edition, 2004.
  2. A. B. Ettinger and C. E. Argoff, “Use of antiepileptic drugs for nonepileptic conditions: psychiatric disorders and chronic pain,” Neurotherapeutics, vol. 4, no. 1, pp. 75–83, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Zhuo, “Cortical excitation and chronic pain,” Trends in Neurosciences, vol. 31, no. 4, pp. 199–207, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. V. de Pascalis, M. R. Magurano, A. Bellusci, and A. C. Chen, “Somatosensory event-related potential and autonomic activity to varying pain reduction cognitive strategies in hypnosis,” Clinical Neurophysiology, vol. 112, no. 8, pp. 1475–1485, 2001. View at Publisher · View at Google Scholar
  5. J. Sarnthein and D. Jeanmonod, “High thalamocortical theta coherence in patients with neurogenic pain,” NeuroImage, vol. 39, no. 4, pp. 1910–1917, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. S. W. G. Derbyshire, A. K. P. Jones, F. Creed et al., “Cerebral responses to noxious thermal stimulation in chronic low back pain patients and normal controls,” NeuroImage, vol. 16, no. 1, pp. 158–168, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. P. Y. Geha and A. V. Apkarian, “Brain imaging findings in neuropathic pain,” Current Pain and Headache Reports, vol. 9, no. 3, pp. 184–188, 2005. View at Google Scholar · View at Scopus
  8. M. de Tommaso, G. Libro, M. Guido, V. Sciruicchio, L. Losito, and F. Puca, “Heat pain thresholds and cerebral event-related potentials following painful CO2 laser stimulation in chronic tension-type headache,” Pain, vol. 104, no. 1-2, pp. 111–119, 2003. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Stern, D. Jeanmonod, and J. Sarnthein, “Persistent EEG overactivation in the cortical pain matrix of neurogenic pain patients,” NeuroImage, vol. 31, no. 2, pp. 721–731, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Valeriani, L. Rambaud, and F. Mauguière, “Scalp topography and dipolar source modelling of potentials evoked by CO2 laser stimulation of the hand,” Electroencephalography and Clinical Neurophysiology, vol. 100, no. 4, pp. 343–353, 1996. View at Publisher · View at Google Scholar · View at Scopus
  11. B. Bromm and J. Lorenz, “Neurophysiological evaluation of pain,” Electroencephalography and Clinical Neurophysiology, vol. 107, no. 4, pp. 227–253, 1998. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Medina and H. B. Coslett, “From maps to form to space: touch and the body schema,” Neuropsychologia, vol. 48, no. 3, pp. 645–654, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. 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 · View at Scopus
  14. 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 · View at Scopus
  15. A. Delorme and S. Makeig, “EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis,” Journal of Neuroscience Methods, vol. 134, no. 1, pp. 9–21, 2004. View at Publisher · View at Google Scholar · View at Scopus
  16. X. Li, X. Yao, J. Fox, and J. G. Jefferys, “Interaction dynamics of neuronal oscillations analysed using wavelet transforms,” Journal of Neuroscience Methods, vol. 160, no. 1, pp. 178–185, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Farge, E. Goirand, Y. Meyer, F. Pascal, and M. V. Wickerhauser, “Improved predictability of two-dimensional turbulent flows using wavelet packet compression,” Fluid Dynamics Research, vol. 10, no. 4–6, pp. 229–250, 1992. View at Google Scholar · View at Scopus
  18. A. Smilde, R. Bro, and P. Geladi, Multi-Way Analysis with Applications in the Chemical Sciences, John Wiley & Sons, England, UK, 2004.
  19. R. Bro and H. A. L. Kiers, “A new efficient method for determining the number of components in PARAFAC models,” Journal of Chemometrics, vol. 17, no. 5, pp. 274–286, 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. E. Acar and B. Yener, “Unsupervised multiway data analysis: a literature survey,” IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 1, pp. 6–20, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. F. Estienne, N. Matthijs, D. L. Massart, P. Ricoux, and D. Leibovici, “Multi-way modelling of high-dimensionality electroencephalographic data,” Chemometrics and Intelligent Laboratory Systems, vol. 58, no. 1, pp. 59–71, 2001. View at Publisher · View at Google Scholar · View at Scopus
  22. X. Li, C. P. Bowers, and T. Schnier, “Classification of energy consumption in buildings with outlier detection,” IEEE Transactions on Industrial Electronics, vol. 57, no. 11, pp. 3639–3644, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. R. A. Harshman, “Foundations of the PARAFAC procedure: models and conditions for an" explanatory" multi-modal factor analysis,” UCLA Working Papers in Phonetics, vol. 16, no. 1, pp. 1–84, 1970. 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 · View at Scopus
  25. E. Acar, C. A. Bingo, H. Bingo, and B. Yener, “Computational analysis of epileptic focus localization,” in Proceedings of the 4th IASTED International Conference on Biomedical Engineering, pp. 317–322, February 2006. View at Scopus
  26. C. Pazzaglia and M. Valeriani, “Brain-evoked potentials as a tool for diagnosing neuropathic pain,” Expert Review of Neurotherapeutics, vol. 9, no. 5, pp. 759–771, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. J. E. Fox, M. Bikson, and J. G. Jefferys, “The effect of neuronal population size on the development of epileptiform discharges in the low calcium model of epilepsy,” Neuroscience Letters, vol. 411, no. 2, pp. 158–161, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Lorenz, K. Grasedyck, and B. Bromm, “Middle and long latency somatosensory evoked potentials after painful laser stimulation in patients with fibromyalgia syndrome,” Electroencephalography and Clinical Neurophysiology, vol. 100, no. 2, pp. 165–168, 1996. View at Publisher · View at Google Scholar
  29. K. L. Casey, J. Lorenz, and S. Minoshima, “Insights into the pathophysiology of neuropathic pain through functional brain imaging,” Experimental Neurology, vol. 184, no. 1, pp. S80–S88, 2003. View at Publisher · View at Google Scholar · View at Scopus
  30. V. Neugebauer, V. Galhardo, S. Maione, and S. C. Mackey, “Forebrain pain mechanisms,” Brain Research Reviews, vol. 60, no. 1, pp. 226–242, 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. X. Moisset and D. Bouhassira, “Brain imaging of neuropathic pain,” NeuroImage, vol. 37, supplement 1, pp. S80–S88, 2007. View at Publisher · View at Google Scholar · View at Scopus
  32. A. V. Apkarian, P. S. Thomas, B. R. Krauss, and N. M. Szeverenyi, “Prefrontal cortical hyperactivity in patients with sympathetically mediated chronic pain,” Neuroscience Letters, vol. 311, no. 3, pp. 193–197, 2001. View at Publisher · View at Google Scholar
  33. N. Picard and P. L. Strick, “Motor areas of the medial wall: a review of their location and functional activation,” Cerebral Cortex, vol. 6, no. 3, pp. 342–353, 1996. View at Publisher · View at Google Scholar · View at Scopus
  34. M. P. Jensen, J. M. Romano, J. A. Turner, A. B. Good, and L. H. Wald, “Patient beliefs predict patient functioning: further support for a cognitive-behavioural model of chronic pain,” Pain, vol. 81, no. 1-2, pp. 95–104, 1999. View at Publisher · View at Google Scholar · View at Scopus
  35. P. Rainville, B. Carrier, R. K. Hofbauer, M. C. Bushnell, and G. H. Duncan, “Dissociation of sensory and affective dimensions of pain using hypnotic modulation,” Pain, vol. 82, no. 2, pp. 159–171, 1999. View at Publisher · View at Google Scholar · View at Scopus
  36. J. L. Davis, “Use of sibutramine hydrochloride monohydrate in the treatment of the painful peripheral neuropathy of diabetes,” Diabetes Care, vol. 23, no. 10, pp. 1594–1595, 2000. View at Google Scholar · View at Scopus
  37. S. Ohara, N. E. Crone, N. Weiss, and F. A. Lenz, “Analysis of synchrony demonstrates "pain networks" defined by rapidly switching, task-specific, functional connectivity between pain-related cortical structures,” Pain, vol. 123, no. 3, pp. 244–253, 2006. View at Publisher · View at Google Scholar · View at Scopus
  38. R. M. Stern, W. J. Ray, and K. S. Quigley, Psychophysiological Recording, Oxford University Press, New York, NY, USA, 2nd edition, 2001.
  39. C. Babiloni, G. Frisoni, F. Vecchio et al., “Global functional coupling of resting EEG rhythms is abnormal in mild cognitive impairment and Alzheimer's disease: a multicenter EEG study,” Journal of Psychophysiology, vol. 23, no. 4, pp. 224–234, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. J. Dersh, P. B. Polatin, and R. J. Gatchel, “Chronic pain and psychopathology: research findings and theoretical considerations,” Psychosomatic Medicine, vol. 64, no. 5, pp. 773–786, 2002. View at Publisher · View at Google Scholar · View at Scopus