Brainwaves Activities during Resting State: A Neurofeedback Case Study

  • Nur Afiqah Mohd Radi University Malaysia Sarawak
  • Nurul Hanim Nasaruddin Universiti Malaysia Sarawak
Keywords: resting state, neurofeedback, electroencephalogram


Neurofeedback training (NFT) on a healthy participant was used to analyse brainwave activity during resting state. Electrodes were placed on the prefrontal cortex and at reference sites to conduct the experiment. The patient was asked to remain still and rest by sitting in a chair. The technology was then used to record the electrical waves emitted by brain activities. After ten cycles with a break interval, theta, alpha, and high beta brainwaves were discovered. There were statistically significant brainwaves in the prefrontal cortex. Remarkably, the ascending high beta oscillation range was the highest, while the alpha wave was the lowest, contradicting earlier results. Anxiety, excitement, and focus were thought to be associated with the highest range of high beta waves.


Aamidfar, M., Azimi, L., Azizi, M. R., & Heysieattalab, S. (2017). Changes in the brain's bioelectrical activity in cognition, consciousness, and mental disorders. Medical Journal of The Islamic Republic of Iran, 31(53), 307-312.

Angelidis, A., Barry, R. J., Blasio, F. M. D., Fogarty, J. S., Putman, P., & Son, D. V. (2019). Frontal EEG theta/beta ratio during mind-wandering episodes. Biological Psychology, 140, 19-27.

Arman, F., Balcisoy, S., Cetin, M., Ekici, B., Eroglu, G., & Gurkan, M. (2018). Can we predict who will respond more to neurofeedback with resting state EEG?. 2018 Medical Technologies National Congress (TIPTEKNO).

Barry, R. J., Clarke, A. R., Johnstone, S. J., Magee, C. A., & Rushby, J. A. (2007). EEG differences between eyes-closed and eyes-open resting conditions. Clinical Neurophysiology, 118(12), 2765-2773.

Barry, R. J., Karamacoska, D., & Steiner, G. Z. (2017). Resting state intrinsic EEG impacts ongoing stimulus-response processes. Psychophysiology, 54(6), 894-903.

Barry, R. J., Blasio, F. M. D., Does, W. V. D., Putman, P., & Son, D. V. (2019). Electroencephalography theta/beta ratio covaries with mind wandering and functional connectivity in the executive control network. Annals of the New York Academy of Sciences, 1452(1), 52-64.

Bastiaansen, M. C. M., Hagoort, P., Norris, D. G., Oostenveld, R., Petersson, K. M., & Scheeringa, R. (2008). Frontal theta EEG activity correlated negatively with the default mode network in the resting state. International Journal of Psychophysiology, 67(3), 242-251.

Becker, B., Goebel, R., Kendrick, K., Li, J., Li, K., Luhrs, M., Sindermann, C., Yao, S., Zhao, F., Zhao, W., & Zhao, Z. (2019). Real-Time Functional Connectivity-Informed Neurofeedback of Amygdala-Frontal Pathways Reduces Anxiety. Psychotherapy and Psychosomatics, 88(1), 5-15.

Birn, R. M., Kirk, G. R., Meier, T. B., Meyerand, M. E., Molloy, E. K., Nair, V. A., Patriat, R., & Prabhakaran, V. (2014). The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated. Neuroimage, 78, 463-473.

Bischoff, M., Blecker, C., Gebhardt, H., Morgen, K., Sammer, G., Stark, R., & Vaitl, D. (2007). Relationship between Regional Hemodynamic Activity and Simultaneously Recorded EEG-Theta Associated with Mental Arithmetic-Induced Workload. Human Brain Mapping, 28, 793-803.

Bohnen, J. L., & Sunder, K. R. (2017). The progression of neurofeedback: an evolving paradigm in addiction treatment and relapse prevention. MOJ Addiction Medicine & Therapy, 3(3), 75-78.

Burke, M. R., Bunce, D., Delvenne, J. F., & Scally, B. (2018). Resting-state EEG power and connectivity are associated with alpha peak frequency slowing in healthy ageing. Neurobiology of Aging, 71, 149-155.

Castanon, A. N., Chai, X .J., Cohen, B. M., Gabrieli, J. D. E., Gabrieli, S. W., McCarthy, J. M., Ongur, D., & Shinn, A. K. (2011). Abnormal Medial prefrontal Cortex Resting-State Connectivity in Bipolar Disorder and Schizophrenia. Neuropsychopharmacology, 36(10), 2009-2017.

Chen, Y., Li, J., Shao, S., Xiao, Y., Wu, J., & Zhou, Q. (2021). Decreased resting-state alpha band activation and functional connectivity after sleep deprivation. Scientific Reports, 11(1).

Cheon, E., Choi, J. H., & Koo, B. H. (2016). The Efficacy of Neurofeedback in Patients with Major Depressive Disorder: An Open Labelled Prospective Study. Applied Psychophysiology and Biofeedback, 41(1), 107-110.

Cherry, K. (2020, June 3). What Is Operant Conditioning and How Does It Work?. Retrieved from,story%20again%20in%20the%20future.

Choi, G. Y., Choi, S. I., & Hwang, H. J. (2018). Individual identification based on resting-state EEG. 2018 6th International Conference on Brain-Computer Interface (BCI).

Deijin, J. B., Eichhorn, D., Ejik, L. V., Engelbregt, H. J., Karch, S., Keeser, D., Pogarell, O., & Suiker, E. M. (2016). Short and long-term effects of sham-controlled prefrontal EEG-neurofeedback training in healthy subjects. Clinical Neurophysiology, 124(4), 1931-1937.

Eades, L. H., Helvig, A., & Wade, S. (2016). Rest and the associated benefits in restorative sleep: a concept analysis. Journal of Advanced Nursing, 72(1), 62-72.

Galili, T. (2010, February 22). Post hoc analysis for Friedman's Test (R code). R-statistics blog. Retrieved from

Ghasemi, A., & Zahediasl, S. (2012). Normality Tests for Statistical Analysis: A Guide for Non-Statisticians. International Journal of Endocrinology Metabolism, 10(2), 486-489.

Greer, J. M. H., Hamilton, C., McMullon, M. E. G., Riby D. M., & Riby, L. M. (2021). An EEG investigation of alpha and beta activity during resting states in adults with Williams syndrome. BMC Psychology, 9, 72.

Gutmann, B., Hildebrand, C., Hollmann, W., Huldunker, T., Mierau, A., & Struder, H. K. (2015). Effects of Physical Exercise on Individual Resting State EEG Alpha Peak Frequency. Neural Plasticity, 2015, 717312.

Hampson, M., Gruner, P., Pittenger, C., Saksa, J., Scheinost, D., Stoica, T., & Wasylink, S. (2014). Resting state functional connectivity predicts neurofeedback response. Frontiers in Behavioural Neuroscience, 8, 338.

Hara, M., Ikeda, T., Kawakami, K., Kawakami, K., Matsushita, K., Nagase, Y., Nojima, I., Sugata, H., Tsuruta, K., Yagawa, S., & Yagi, K. (2020). Role of beta-band resting-state functional connectivity as a predictor of motor learning ability. NeuroImage, 210, 116562.

He, H., Qiu, S., Wang, S., Yi, W., & Zhang, C. (2020). The Lasting Effects of Low-Frequency Repetitive Transcranial Magnetic Stimulation on Resting State EEG in Healthy Subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(4). 832-841.

Hsiao, J. H., Lau, E. Y. Y., & Zhang, J. (2018). Sleep deprivation compromises resting-state emotional regulatory processes: An EEG study. Journal of Sleep Research, 28(3).

Hsieh, S., & Wang, J.R. (2013). Neurofeedback training improves attention and working memory performance. Clinical Neurophysiology, 124(12), 2406-2420.

Huang, J. (2019). Greater brain activity during the resting state and the control of activation during the performance of tasks. Scientific Reports, 9, 5027.

Jin, Z., Kong, X., Ling, L., Tan, B., & Ping, Y. (2013). The Difference of Brain Functional Connectivity between Eyes-Closed and Eyes-Open Using Graph Theoretical Analysis. Computational and Mathematical Methods in Medicine, 2013, 976365.

Jones, D. (2016, July 29). Biofeedback's early history. Retrieved from

Krauz, R., Kublik, E., Rogala, J., & Wrobel, A. (2020). Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance. Scientific Reports, 10,1-15.

Laerd Statistics. (n.d). Friedman Test in SPSS Statistics. Retrieved from

Laerd Statistics. (n.d). Testing for Normality using SPSS Statistics. Retrieved from

Limbrick, D. D., Raichle, M. E., Schlaggar, B. L., Shah, M. N., Shimony, J. S., Smyth, M. D., Snyder, A. Z., & Pizoli, C. E. (2011). Resting-state activity in development and maintenance of normal brain function. Proceedings of the National Academy of Sciences, 108(28), 11638-11643.

Mansourian, M., Marateb, H.R., & Marzbani, H. (2016). Neurofeedback: A Comprehensive Review on System Design, Methodology and Clinical Applications. Basic and Clinical Neuroscience Journal, 7(2). 143-158.

Piantoni, G., Romenjin, N., Smit, D. J., Someren, E. J. V., Werf, Y. D. V. D., & Verweij, I. M. (2014). Sleep deprivation leads to a loss of functional connectivity in frontal brain regions. BMC Neuroscience, 15, 88.

Sattar, FA., & Valdiya, PS. (2017). Biofeedback In Medical Practice. Medical Journal Armed Forces India, 55(1), 51-54. (2021, March 16). Resting vs Sleeping. Retrieved from,level%20of%20disengagement %20as%20sleep.

Strehl, U. (2014). What learning theories can teach us in designing neurofeedback treatments. Frontiers in Human Neuroscience, 8. 894.

How to Cite
Mohd Radi, N. A., & Nasaruddin, N. H. (2022). Brainwaves Activities during Resting State: A Neurofeedback Case Study. Journal of Cognitive Sciences and Human Development, 8(1), 100-111.