Table of Contents Author Guidelines Submit a Manuscript
International Journal of Alzheimer’s Disease
Volume 2011, Article ID 547024, 6 pages
http://dx.doi.org/10.4061/2011/547024
Clinical Study

Electromyographic Activity in the EEG in Alzheimer's Disease: Noise or Signal?

1Neuropsychology, Department of Neurology, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
2Department of Psychology, Clinical, Health and Neuropsychology, Faculty of Social Sciences, Leiden University, P.O. Box 9555, 2300 RB Leiden, The Netherlands
3Clinical Neurophysiology, Department of Neurology, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
4Department of Gerontology and Geriatrics, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
5Department of Radiology, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
6Department of Neurology, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands

Received 8 November 2010; Accepted 26 January 2011

Academic Editor: Sara Määttä

Copyright © 2011 Karin van der Hiele 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. Jeong, “EEG dynamics in patients with Alzheimer's disease,” Clinical Neurophysiology, vol. 115, no. 7, pp. 1490–1505, 2004. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  2. K. Bennys, G. Rondouin, C. Vergnes, and J. Touchon, “Diagnostic value of quantitative EEG in Alzheimer's disease,” Neurophysiologie Clinique, vol. 31, no. 3, pp. 153–160, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. V. Jelic, S. E. Johansson, O. Almkvist et al., “Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer's disease,” Neurobiology of Aging, vol. 21, no. 4, pp. 533–540, 2000. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Grunwald, F. Busse, A. Hensel et al., “Correlation between cortical θ activity and hippocampal volumes in health, mild cognitive impairment, and mild dementia,” Journal of Clinical Neurophysiology, vol. 18, no. 2, pp. 178–184, 2001. View at Google Scholar · View at Scopus
  5. A. Stevens, T. Kircher, M. Nickola, M. Bartels, N. Rosellen, and H. Wormstall, “Dynamic regulation of EEG power and coherence is lost early and globally in probable DAT,” European Archives of Psychiatry and Clinical Neuroscience, vol. 251, no. 5, pp. 199–204, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. K. van der Hiele, A. A. Vein, A. van der Welle et al., “EEG and MRI correlates of mild cognitive impairment and Alzheimer's disease,” Neurobiology of Aging, vol. 28, no. 9, pp. 1322–1329, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  7. Z. Y. Jiang, “Study on EEG power and coherence in patients with mild cognitive impairment during working memory task,” Journal of Zhejiang University Science B, vol. 6, no. 12, pp. 1213–1219, 2005. View at Google Scholar · View at Scopus
  8. K. van der Hiele, A. A. Vein, C. G. S. Kramer et al., “Memory activation enhances EEG abnormality in mild cognitive impairment,” Neurobiology of Aging, vol. 28, no. 1, pp. 85–90, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  9. D. Adamis, S. Sahu, and A. Treloar, “The utility of EEG in dementia: a clinical perspective,” International Journal of Geriatric Psychiatry, vol. 20, no. 11, pp. 1038–1045, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  10. R. J. Croft and R. J. Barry, “Removal of ocular artifact from the EEG: a review,” Neurophysiologie Clinique, vol. 30, no. 1, pp. 5–19, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. D. Hagemann and E. Naumann, “The effects of ocular artifacts on (lateralized) broadband power in the EEG,” Clinical Neurophysiology, vol. 112, no. 2, pp. 215–231, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. I. I. Goncharova, D. J. McFarland, T. M. Vaughan, and J. R. Wolpaw, “EMG contamination of EEG: spectral and topographical characteristics,” Clinical Neurophysiology, vol. 114, no. 9, pp. 1580–1593, 2003. View at Publisher · View at Google Scholar · View at Scopus
  13. R. P. Brenner, R. F. Ulrich, and D. G. Spiker, “Computerized EEG spectral analysis in elderly normal, demented and depressed subjects,” Electroencephalography and Clinical Neurophysiology, vol. 64, no. 6, pp. 483–492, 1986. View at Google Scholar · View at Scopus
  14. R. J. Croft and R. J. Barry, “EOG correction of blinks with saccade coefficients: a test and revision of the aligned-artefact average solution,” Clinical Neurophysiology, vol. 111, no. 3, pp. 444–451, 2000. View at Publisher · View at Google Scholar · View at Scopus
  15. R. J. Croft, J. S. Chandler, R. J. Barry, N. R. Cooper, and A. R. Clarke, “EOG correction: a comparison of four methods,” Psychophysiology, vol. 42, no. 1, pp. 16–24, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  16. T. Gasser, J. C. Schuller, and U. S. Gasser, “Correction of muscle artifacts in the EEG power spectrum,” Clinical Neurophysiology, vol. 116, no. 9, pp. 2044–2050, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  17. T. P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne, and T. J. Sejnowski, “Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects,” Clinical Neurophysiology, vol. 111, no. 10, pp. 1745–1758, 2000. View at Publisher · View at Google Scholar · View at Scopus
  18. T. P. Jung, S. Makeig, C. Humphries et al., “Removing electroencephalographic artifacts by blind source separation,” Psychophysiology, vol. 37, no. 2, pp. 163–178, 2000. View at Publisher · View at Google Scholar · View at Scopus
  19. R. C. Petersen, G. E. Smith, S. C. Waring, R. J. Ivnik, E. G. Tangalos, and E. Kokmen, “Mild cognitive impairment: clinical characterization and outcome,” Archives of Neurology, vol. 56, no. 3, pp. 303–308, 1999. View at Google Scholar · View at Scopus
  20. G. McKhann, D. Drachman, M. Folstein et al., “Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease,” Neurology, vol. 34, no. 7, pp. 939–944, 1984. View at Google Scholar · View at Scopus
  21. J. I. Skeikh and J. A. Yesavage, “Geriatric Depression Scale (GDS): recent evidence and development of a shorter version,” in Clinical Gerontology: A Guide to Assessment and Intervention, T. L. Brink, Ed., pp. 165–173, The Haworth Press, New York, NY, USA, 1986. View at Google Scholar
  22. D. I. Kaufer, J. L. Cummings, P. Ketchel et al., “Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory,” Journal of Neuropsychiatry and Clinical Neurosciences, vol. 12, no. 2, pp. 233–239, 2000. View at Publisher · View at Google Scholar · View at Scopus
  23. P. Aalten, M. E. De Vugt, R. Lousberg et al., “Behavioral problems indementia: a factor analysis of the neuropsychiatric inventory,” Dementia and Geriatric Cognitive Disorders, vol. 15, no. 2, pp. 99–105, 2003. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  24. M. Roth, E. Tym, and C. Q. Mountjoy, “CAMDEX. A standardised instrument for the diagnosis of mental disorder in the elderly with special reference to the early detection of dementia,” British Journal of Psychiatry, vol. 149, pp. 698–709, 1986. View at Google Scholar · View at Scopus
  25. G. E. Schwartz, P. L. Fair, and P. Salt, “Facial muscle patterning to affective imagery in depressed and nondepressed subjects,” Science, vol. 192, no. 4238, pp. 489–491, 1976. View at Google Scholar · View at Scopus
  26. M. M. Bradley, “Emotion and motivation,” in Handbook of Psychophysiology, J. Cacioppo, L. Tassinary, and G. Berntson, Eds., pp. 602–643, Cambridge University Press, Cambridge, UK, 2000. View at Google Scholar