Toward EEG Spectral Analysis of Tomographic Neurofeedback for Depression

  • Chamandeep KaurEmail author
  • Preeti Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 479)


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.


EEG Neurofeedback Human–machine interface z-Scores sLORETA 


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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.UIETPanjab UniversityChandigarhIndia

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