Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Mean Phase Coherence as a Supplementary Measure to Diagnose Alzheimer's Disease with Quantitative Electroencephalogram (qEEG)

  • Che, Hui-Je (Department of Biomedical Engineering, Yonsei University) ;
  • Jung, Young-Jin (Department of Biomedical Engineering, Yonsei University) ;
  • Lee, Seung-Hwan (Department of Neuropsychiatry, Inje University Ilsan-Paik Hospital) ;
  • Im, Chang-Hwan (Department of Biomedical Engineering, Yonsei University)
  • Received : 2009.12.21
  • Accepted : 2010.01.25
  • Published : 2010.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.

Keywords

References

  1. J. F. Lubar, Quantitative Electroencephalographic Analysis (QEEG) Databases for Neurotherapy: Description, Validation, and Application, The Haworth Medical Press, 2003.
  2. G. Adler, S. Brassen, and A. Jajcevic, "EEG coherence in Alzheimer's dementia," J. Neural Transm., vol. 110, pp. 1051-1058, 2003. https://doi.org/10.1007/s00702-003-0024-8
  3. T. Dierks, V. Jelic, P. Julin, K. Maurer, L. O. Wahlund, O. Almkvist, W. K. Strik, and B. Winblad, "EEG-microstates in mild memory impairment and Alzheimer's disease: Possible association with disturbed information processing," J. Neural Transm., vol. 104, pp. 483-495, 1997. https://doi.org/10.1007/BF01277666
  4. W. K. Strik, R. Chiaramonti, G. C. Muscas, M. Paganini, T. J. Mueller, A. J. Fallgatter, A. Versari, and R. Zappoli, "Decreased EEG microstate duration and anteriorisation of the brain electrical fields in mild and moderate dementia of the Alzheimer type," Psychiatry Res., vol. 75, pp. 183-191, 1997. https://doi.org/10.1016/S0925-4927(97)00054-1
  5. A. Deslandes, H. Veiga, M. Cagy, A. Fiszman, R. Piedade, and P. Ribeiro, "Quantitative electroencephalography (qEEG) to discriminate Primary Degenerative Dementia from Major Depressive Disorder (Depression)," Arq. Neuropsiquiatr., vol. 62, pp. 44-50, 2004. https://doi.org/10.1590/S0004-282X2004000100008
  6. F. Mormann, K. Lehnertz, P. David, and C. E. Elger, "Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients," Physica D, vol. 144, pp. 358-369, 2000. https://doi.org/10.1016/S0167-2789(00)00087-7
  7. C. A. Schevon, J. Cappell, R. Emerson, J. Isler, P. Grieve, R. Goodman, G. McKhann, H. Weiner, W. Doyle, R. Kuzniecky, O. Devinsky, and F. Gilliam, "Cortical abnormalities in epilepsy revealed by local EEG synchrony," NeuroImage, vol. 35, pp. 140-148, 2007. https://doi.org/10.1016/j.neuroimage.2006.11.009
  8. S. H. Lee, J. K. Wynn, M. F. Green, H. Kim, K. J. Lee, M. Nam, J. K. Park, and Y. C. Chung, "Quantitative EEG and low resolution electromagnetic tomography (LORETA) imaging of patients with persistent auditory hallucinations," Schizophr. Res. vol. 83, pp. 111-119, 2006. https://doi.org/10.1016/j.schres.2005.11.025
  9. L. Leocani and G. Comi, "EEG coherence in pathological conditions," J. Clin. Neurophysiol., vol. 16, pp. 548-555, 1999. https://doi.org/10.1097/00004691-199911000-00006
  10. G. Pfurtscheller and C. Andrew, "Event-related changes of band power and coherence: Methodology and interpretation," J. Clin. Neurophysiol., vol. 16, pp. 512-519, 1999. https://doi.org/10.1097/00004691-199911000-00003
  11. M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, "Phase synchronization of chaotic oscillators," Phys. Rev. Lett., vol. 76, pp. 1804-1807, 1996. https://doi.org/10.1103/PhysRevLett.76.1804
  12. L. Aftanas and S. Golosheykin, "Impact of regular meditation practice on EEG activity at rest and during evoked negative emotions," Int. J. Neurosci., vol. 115, pp. 893-909, 2005. https://doi.org/10.1080/00207450590897969
  13. B. Bruce, "Synchronized thinking: Brain activity linked to schizophrenia, skillful medication," Science News, vol. 166, p. 310, 2004. https://doi.org/10.2307/4015767
  14. C. Lehmann, T. Koenig, V. Jelic, L. Prichep, R. E. John, L. O. Wahlund, Y. Dodge, and T. Dierks, "Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG)," J. Neurosci. Methods, vol. 161, pp. 342-350, 2007. https://doi.org/10.1016/j.jneumeth.2006.10.023