Toward EEG Spectral Analysis of Tomographic Neurofeedback for Depression

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 479)

Abstract

Neurofeedback (NF) or electroencephalography (EEG) biofeedback is a capable of expansion of brain–computer interface (BCI). It uses the fact of training subjects to achieve cortical oscillation modulations which has been facilitated using human–machine interface by making use of computer softwares. Up till now, many reports have focused on efficacy of NF in context of clinical and non clinical applications. In that direction, this work is focused to evaluate the spectral analysis of EEG signals for tomographic NF (a solution to EEG inverse problem). z-Score standardized low resolution electromagnetic tomography (sLORETA) NF has been provided to a patient detected with depression. Proposed work observed the increase in alpha, theta/beta ratio and decrease in beta after providing the 16 sessions. It illustrates the fact that tomographic NF could have greater impact on depression.

Keywords

EEG Neurofeedback Human–machine interface z-Scores sLORETA 

References

  1. 1.
    Gruzelier, J.H.: EEG-Neurofeedback for Optimising Performance. II: Creativity, the Performing Arts and Ecological Validity. Neuroscience and Biobehavioral Reviews, Vol. 44, No. 1 (2014) 142–158Google Scholar
  2. 2.
    Galka, A., Yamashita, O., Ozaki, T., Biscay, R. and Valdés-Sosa, P.: A Solution to the Dynamical Inverse Problem of EEG Generation Using Spatiotemporal Kalman Filtering. NeuroImage, Vol. 23, No. 2 (2004) 435–453Google Scholar
  3. 3.
    Grech, R., Cassar, T., Muscat, J., Camilleri, K.P., Fabri, S.G., Zervakis, M., Xanthopoulos, P., Sakkalis, V. and Vanrumste, B.: Review on Solving the Inverse Problem in EEG Source Analysis. Journal of NeuroEngineering and Rehabilitation, Vol. 5, No. 25 (2008) 1–33Google Scholar
  4. 4.
    Galka, A., Yamashita, O., Ozaki, T., Biscay, R., Valdés-Sosa, P.: A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering. NeuroImage 23 (2004) 435–453Google Scholar
  5. 5.
    Liechti, M.D., Maurizio, S., Heinrich, H., Jäncke, L., Meier, L., Steinhausen, H.C., Walitza, S., Drechsler, R. and Brandeis, D.: First clinical trial of tomographic neurofeedback in attention-deficit/hyperactivity disorder: evaluation of voluntary cortical control. Clin Neurophysiol., Vol. 123, No. 10 (2012) 1989–2005Google Scholar
  6. 6.
    Kamiya, J.: Operant Control of the EEG Alpha Rhythm and Some of Its Reported Effects on Consciousness. In: Tart C.T. (ed.), Altered States of Consciousness. Wiley, New York (1969) 519–529Google Scholar
  7. 7.
    Arns, M., de-Ridder, S., Streh, U., Breteler, M. and Coenen, A.: Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-Analysis. Clinical EEG Neuroscience, Vol. 40, No. 3 (2009) 180–9Google Scholar
  8. 8.
    Bakhtadze, S., Janelidze, M. and Khachapuridze, N.: Impact of Neurofeedback in Patients with Epilepsy. Epilepsy & Behavior, Vol. 17, No. 4 (2010) 598–599Google Scholar
  9. 9.
    Gruzelier, J.H.: EEG-Neurofeedback for Optimising Performance. I: A Review of Cognitive and Affective Outcome in Healthy Participants. Neuroscience and Biobehavioral Reviews, Vol. 44, No. 1 (2014) 124–141Google Scholar
  10. 10.
    Hammond, D.C.: Neurofeedback Treatment of Depression and Anxiety. Journal of Adult Development, Vol. 12, Nos. 2/3 (2005) 131–137Google Scholar
  11. 11.
    Baehr, E., Rosenfeld, J.P. and Baehr, R.: The Clinical Use of An Alpha Asymmetry Protocol in the Neurofeedback Treatment of Depression. Journal of Neurotherapy: Investigations in Neuromodulation, Neurofeedback and Applied Neuroscience,Vol. 2, No. 3 (1997) 11–18Google Scholar
  12. 12.
    Hammond, D.C.: Neurofeedback Treatment of Depression with the Roshi. Journal of Neurotherapy: Investigations in Neuromodulation, Neurofeedback and Applied Neuroscience, Vol. 4, No. 2 (2000) 45–56Google Scholar
  13. 13.
    Saxby, E. and Peniston, E.G.: Alpha-Theta Brainwave Neurofeedback Training: An Effective Treatment for Male and Female Alcoholics with Depressive Symptoms. Journal of Clinical Psychology, Vol. 51, No. 1 (1995) 685–693Google Scholar
  14. 14.
    Dias, A.M. and Deusen, A.V.: A New Neurofeedback Protocol for Depression. The Spanish Journal of Psychology, Vol. 14, No. 1 (2011) 374–384Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.UIETPanjab UniversityChandigarhIndia

Personalised recommendations