Quantitative Electroencephalogaphy (QEEG) and Neurofeedback Training (NFT) for Elderly with Mild Cognitive Impairment (MCI)

  • Authors

    • Nur Hartini Mardan
    • Norsiah Fauzan
    2018-08-08
    https://doi.org/10.14419/ijet.v7i3.22.17118
  • Cognitive enhancement, elderly, mild cognitive impairment, neurofeedback, QEEG
  • Neurofeedback training (NFT) has been widely used to alter the brain activity to enhance the brain function. This study aimed to apply neurofeedback to enhance the cognitive performance in elderly with Mild Cognitive Impairment (MCI) by focusing on alpha wave in the neurofeedback training as it is positively associated with cognitive decline in elderly. 10 subjects who passed the criteria were assigned to experimental and control group. With 15 sessions of alpha neurofeedback, increase in alpha absolute power was rewarded while simultaneous suppression of theta and beta2 were done in experimental group. Results showed that after completion of neurofeedback, all subjects in experimental group learn to increase their alpha absolute power while mixed result was recorded for suppression of theta and high beta either at individual, inter and intra group level. Cognitive results in individual level revealed that pattern of increase and decrease of score was regular in experimental group and at grouped level, significant increment observed in Digit Span and Symbol Search in experimental group only. These results suggest that MCI elderly could learn to increase specific components of EEG activity that such enhanced activity may facilitate in working memory and processing speed enhancement.

     

     

  • References

    1. [1] Baker, M., Akrofi, K., Schiffer, R., & Boyle, M. W. (2008). EEG patterns in mild cognitive impairment (MCI) patients. The Open Neuroimaging Journal, 2(1), 52–55.

      [2] Rosdinom, R., Fazli, A., Ruzyanei, N. J., Azlin, B., & Srijit, D. (2011). Factors associated with cognitive impairment in patients with Parkinson disease: an urban study. Clinical Therapeutics, 162(1), 23–29.

      [3] Frank, D. L., Khorshid, L., Kiffer, J. F., Moravec, C. S., & McKee, M. G. (2010). Biofeedback in medicine: who, when, why and how? Mental Health in Family Medicine, 7(2), 85–91.

      [4] Angelakis, E., Stathopoulou, S., Frymiare, J. L., Green, D. L., Lubar, J. F., & Kounios, J. (2007). EEG neurofeedback: a brief overview and an example of peak alpha frequency training for cognitive enhancement in the elderly. The Clinical Neuropsychologist, 21(1), 110–129.

      [5] Becerra, J., Fernández, T., Roca-Stappung, M., Díaz-Comas, L., Galán, L., Bosch, J., … Harmony, T. (2012). Neurofeedback in healthy elderly human subjects with electroencephalographic risk for cognitive disorder. Journal of Alzheimer’s Disease, 28(2), 357–367.

      [6] Hanslmayr, S., Sauseng, P., Doppelmayr, M., Schabus, M., & Klimesch, W. (2005). Increasing individual upper alpha power by neurofeedback improves cognitive performance in human subjects. Applied Psychophysiology and Biofeedback, 30(1), 1–10.

      [7] Penttilä, M., Partanen, J. V., Soininen, H., & Riekkinen, P. J. (1985). Quantitative analysis of occipital EEG in different stages of Alzheimer’s disease. Electroencephalography and Clinical Neurophysiology, 60(1), 1–6.

      [8] Prichep, L. S., John, E. R., Ferris, S. H., Reisberg, B., Almas, M., Alper, K., & Cancro, R. (1994). Quantitative EEG correlates of cognitive deterioration in the elderly. Neurobiology of Aging, 15(1), 85–90.

      [9] Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Research. Brain Research Reviews, 29(2–3), 169–195.

      [10] Lecomte, G., & Juhel, J. (2011). The Effects of Neurofeedback Training on Memory Performance in Elderly Subjects. Psychology, 2(8), 846–846.

      [11] Ibrahim, N. M., Shohaimi, S., Chong, H.-T., Rahman, A. H. A., Razali, R., Esther, E., & Basri, H. B. (2009). Validation Study of the Mini-Mental State Examination in a Malay-Speaking Elderly Population in Malaysia. Dementia and Geriatric Cognitive Disorders, 27(3), 247–253. https://doi.org/10.1159/000203888

      [12] Razali, R., Baharudin, A., Jaafar, N. R. N., Sidi, H., Rosli, A. H., Hooi, K. B., … Elias, N. A. (2012). Factors associated with mild cognitive impairment among elderly patients attending medical clinics in Universiti Kebangsaan Malaysia Medical Centre. Sains Malaysiana, 41(5), 641–647.

      [13] Kropotov, J. D. (2010). Quantitative EEG, Event-Related Potentials and Neurotherapy. Academic Press.

      [14] Jensen, O., Gelfand, J., Kounios, J., & Lisman, J. E. (2002). Oscillations in the Alpha Band (9–12 Hz) Increase with Memory Load during Retention in a Short-term Memory Task. Cerebral Cortex, 12(8), 877–882. https://doi.org/10.1093/cercor/12.8.877

      [15] Thatcher, R.W., Krause, P.J., Hrybyk, M., (1976) Cortico-cortical associations and EEG coherence: a two-compartment model. Electroencephalography and Clincical Neurophysiology 64, 123–143

      [16] Cho, M. K., Jang, H. S., Jeong, S.-H., Jang, I.-S., Choi, B.-J., & Lee, M.-G. T. (2008). Alpha neurofeedback improves the maintaining ability of alpha activity. Neuroreport, 19(3), 315–317. https://doi.org/10.1097/WNR.0b013e3282f4f022

      [17] van Boxtel, G. J. M., Denissen, A. J. M., Jäger, M., Vernon, D., Dekker, M. K. J., Mihajlović, V., & Sitskoorn, M. M. (2012). A novel self-guided approach to alpha activity training. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 83(3), 282–294. https://doi.org/10.1016/j.ijpsycho.2011.11.004

      [18] Vernon, D. J. (2005). Can neurofeedback training enhance performance? An evaluation of the evidence with implications for future research. Applied Psychophysiology and Biofeedback, 30(4), 347–364. https://doi.org/10.1007/s10484-005-8421-4

      [19] Sterman, M. B. (2000). Basic concepts and clinical findings in the treatment of seizure disorders with EEG operant conditioning. Clinical EEG (Electroencephalography), 31(1), 45–55.

      [20] Rangaswamy, M., Porjesz, B., Chorlian, D. B., Wang, K., Jones, K. A., Kuperman, S., … Begleiter, H. (2004). Resting EEG in offspring of male alcoholics: beta frequencies. International Journal of Psychophysiology, 51(3), 239–251. https://doi.org/10.1016/j.ijpsycho.2003.09.003

      [21] Vernon, D., Egner, T., Cooper, N., Compton, T., Neilands, C., Sheri, A., & Gruzelier, J. (2003). The effect of training distinct neurofeedback protocols on aspects of cognitive performance. International Journal of Psychophysiology, 47(1), 75–85. https://doi.org/10.1016/S0167-8760(02)00091-0

      [22] Klimesch, W. (1997). EEG-alpha rhythms and memory processes. International Journal of Psychophysiology ,26, 319–340

      [23] Babiloni, C., Visser, P. J., Frisoni, G., De Deyn, P. P., Bresciani, L., Jelic, V., … Nobili, F. (2010). Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint. Neurobiology of Aging, 31(10), 1787–1798. https://doi.org/10.1016/j.neurobiolaging.2008.09.020

      [24] Nan, W., Rodrigues, J. P., Ma, J., Qu, X., Wan, F., Mak, P.-I., … Rosa, A. (2012). Individual alpha neurofeedback training effect on short term memory. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 86(1), 83–87. https://doi.org/10.1016/j.ijpsycho.2012.07.182

      [25] Wang, J.-R., & Hsieh, S. (2013). Neurofeedback training improves attention and working memory performance. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 124(12), 2406–2420. https://doi.org/10.1016/j.clinph.2013.05.020

      [26] Fry, A. F., & Hale, S. (1996). Processing Speed, Working Memory, and Fluid Intelligence: Evidence for a Developmental Cascade. Psychological Science, 7(4), 237–241. https://doi.org/10.1111/j.1467-9280.1996.tb00366.x

      [27] Kail, R., & Salthouse, T. A. (1994). Processing speed as a mental capacity. Acta Psychologica, 86(2–3), 199–225.

      [28] Nettelbeck, T., & Burns, N. R. (2010). Processing speed, working memory and reasoning ability from childhood to old age. Personality and Individual Differences, 48(4), 379–384. https://doi.org/10.1016/j.paid.2009.10.032

  • Downloads

  • How to Cite

    Hartini Mardan, N., & Fauzan, N. (2018). Quantitative Electroencephalogaphy (QEEG) and Neurofeedback Training (NFT) for Elderly with Mild Cognitive Impairment (MCI). International Journal of Engineering & Technology, 7(3.22), 32-36. https://doi.org/10.14419/ijet.v7i3.22.17118