Neurofeedback

Authors

  • Abrar Hasan Jaber University of Baghdad- College of Arts
  • Buthaina Mansour Al-Hilo University of Baghdad- College of Arts

DOI:

https://doi.org/10.31973/aj.v2i137.1627

Keywords:

brain waves, treatment protocols, mental disorders

Abstract

The Neurofeedback technique is one of the most prominent, modern and developed therapeutic techniques based on mindfulness. There have been several studies searching for the extent of its impact as a form of effective conditioning of the brain’s electrical activity, which enhances positive activity by acting and preventing the emergence of negative activity, and working on changing the surface of brain cells, which affects the effectiveness of the brain and improving the performance of cognitive therapies in it. Different patterns of electrical activity can be identified by placing electrodes on the scalp and recording those cortical activities of the nearby brain regions -known as brain waves- and through capacities and frequencies the different frequency components in the brain are categorized into delta waves, theta, alpha, beta, and Gama, each one representing a certain physiological function and any defect in it represents various symptoms of mental disorders, so the reorganization of these waves helps to recover from these symptoms. There are different types of neurological feedback, including superficial neural feedback, used to change the amplitude or speed of certain brain waves in certain locations of the brain to treat a specific disorder, and slow cortical nerve feedback to improve the direction of slow cortical potentials, and neurological feedback data provides responses or observations about blood flow to the brain, and it also presents a continuous comparison of changes in the electrical activity in the brain with a systematic database to provide continuous feedback. The functional magnetic resonance imaging technology “fMRI” is the latest type of neural feedback to regulate brain activity based on the activity feedback from the deep cortical regions of the brain.

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References

Angelakis, E. Lubar, J. F., Frederick, J.& Stathopoulou, S.(2001). The role of slow-wave EEG activity in reading. Journal of Neurotherapy, 5, 5-25.

Bartholdy, S., Musiat, P., Campbell, I. C., & Schmidt, U. (2013). The potential of neurofeedback in the treatment of Eating Disorders: A Review of the Literature. European Eating Disorders Review, 21(6), 456-463.

Blume, W.T,& Kaibara,M. (1995). Atlas of adult electroencepbalography. New York:Raven press

Breteler, M. H., Arns, M., Peters, S., Giepmans, I., & Verhoeven, L. (2010). Improvements in spelling after QEEG-based neurofeedback in dyslexia: a randomized controlled treatment study. Applied Psychophysiol Biofeedback, 35(1), 5-11.

Budzynski, T. (2009a). Introduction to quantitative EEG and neuro-feedback: Advanced theory and applications (2nd ed.). Amsterdam, Elsevier: Academic Press.

Budzynski,T.H.(1999).From EEG to neurofeedback. In J Evans & A.Arbarbanel(Eds), Introduction to quantitive EEG and neurofeedback (pp,65-79). San Diego, CA:Academic Press.

Christiansen, H., Reh, V., Schmidt, M. H., & Rief, W. (2014). Slow cortical potential neurofeedback and self-management training in outpatient care for children with ADHD: Study protocol and first preliminary results of a randomized controlled trial. Frontiers Human Neuroscience, 8(943), 1-15

Congedo, M., Lubar, J., Joffe, D. (2004). Low-Resolution Electromagnetic Tomography Neurofeedback. IEEE Transactions on Rehabilitation Engineering, Institute of Electrical and Electronics Engineers, 12 (4), 387-97.

Demos JN. (2014), Getting started with neurofeedback. Translated by Azarangi D, Rahmanian m, Danjeh. org. Tehran.

Dempster, T. (2012). An investigation into the optimum training paradigm for alpha electroencephalographic Edmonton, AB:Comptronic Devices Limited.

Egner, T., & Gruzelier, J. H. (2004). EEG Biofeedback of low beta band components: frequency-specific effects on variables of attention and event - related brain potentials. Clinical Neurophysiology, 115(1), 131-139.

Escolano, C., Aguilar, M., & Minguez, J. (2011). EEG-based up¬per alpha neurofeedback training improves working memory performance. International Conference of the IEEE Engineering in Medicine and Biology Society, 2327-2330.

Escolano, C., Olivan, B., Lopez-del - Hoyo, Y., Garcia - Campayo, J., & Minguez, J. (2012). Double-blind single-session neuro¬feedback training in upper-alpha for cognitive enhancement of healthy subjects. Conference Proceedings of the IEEE Engineering in Medicine and Biology Society,4643-4647.

Gnecchi J. A. G., Herrera Garcia J. C., de Dios Ortiz Alvarado J. (2007). Auxiliary Neurofeedback System for Diagnostic of Attention Deficit Hyperactivity Disorder. Proceedings of the Electronics, Robotics and Automotive Mechanics Conference (pp. 135–138). Mexico: Morelos. doi: 10.1109/CERMA.2007.4367674. [CrossRef] [Google Scholar]

Gruzelier, J. (2009). A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cognitive Processing, 10(1), 101-109.

Gunkelman JD, Johnstone J. (2005). Neurofeedback and the brain. Journal of Adult Development; 12(2): 93-8

Gurnee,R (2003). Central 12-15 Hz activity in ADHD, Paper presented at the conference of the international society for Neuronal Regulation, Honston, TX.

Hammer, B. U., Colbert, A. P., Brown, K. A., & Ilioi, E. C. (2011). Neurofeedback for insomnia: a pilot study of Z-score SMR and individualized protocols. Applied Psychophysiol Biofeedback, 36(4), 251-264

Hammond,D.C.(1999). Roshi compared with the Rosenfeld detression protocol: A Case report. Journal of Neurotherapy, 3(3-4),63

Hammond,D.C.(2000). The role of 40 Hz activity and training (question1). The journal of Neurotherapy,4(2),95-100.

Heinrich, H., Gevensleben, H., & Strehl, U. (2007). Annotation: Neurofeedback-train your brain to train behaviour. Journal of Child Psychology and Psychiatry, 48(1), 3-16.

Horrell, T., El-Baz, A., Baruth, J., Tasman, A., Sokhadze, G., Stew¬art, C., et al. (2010). Neurofeedback Effects on Evoked and In¬duced EEG Gamma Band Reactivity to Drug-related Cues in Cocaine Addiction. Journal of Neurotherapy, 14(3), 195-216.

Hughes, J. R. (1994). EEG in clinical practice (2nd ed). Boston: Butterworth-Heinemann. Jasper, H. H., Solomon, C. (1938). Electroencephalographic analysis of behavior problems in children. American Journal of Psycbiatry, 95, 641-658.

Hurt E., Arnold L. E., Lofthouse N. (2014). Quantitative EEG Neurofeedback for the Treatment of Pediatric Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorders, Learning Disorders, and Epilepsy. Child and Adolescent Psychiatric Clinics of North America, 23( 3), 465– 486. [PubMed] [Google Scholar]

Ibric, V. L., & Dragomirescu, L. G. (2009). Neurofeedback in pain management. Department of Ecology, University of Bucharest , Romania.

Johnstone, J., & Gunkelman, J. (2003). Use of databases in QEEG evaluation. Journal of Neurotherby,7(3-4), 31-52.

Klimesch, W., 1999. EEG alpha and theta oscilliations reflect cognitive and memory performance: a review and analysis. Brain Res. Rev. 29, 169–195

Lubar , J. F., & Lubar J. O. (2002). Workshop at the meeting of the Future Health Winter Brain Conference, Miami, FL.

Marieb,E.N.(1995).Human anatomy and physiology (3rd ed.) Redwood city: CABEN. Jamin/ cumming.

Markovska-Simoska, S., Pop-Jordanova, N., & Georgiev, D. (2008). Simultaneous EEG and EMG biofeedback for peak performance in musicians. Prilozi, 29(1), 239-252.

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

McKnight, J. T., & Fehmi, L. G. (2001). Attention and neurofeedback synchrony training: clinical results and their significance. Journal of Neurotherapy, 5(1-2), 45-61.

Othmers,S.Othmer,S.F.,& Kaiser,D.A.(1991).EEG biofeedback: an emerging model for its global efficacy, In J.R. Evans & A.Arbarbanel (Eds.), Introduction to quantitative EEG and and neurofeedback (pp.243-310): san Diego, CA :Academic press

Peniston,E.G.,& Kulkosky, P.J.(1991).Alpha- theta brain wave neuro-feedback for Vietnam Veterans with combat-related post-traumatic stress disorder. Medical Psychotherapy,1-14.

Robbins,J.(2000a). Asymbony in the brain. New York: Atlantic Monthly press.

Ros, T., Moseley, M. J., Bloom, P. A., Benjamin, L., Parkinson, L. A., & Gruzelier, J. H. (2009). Optimizing microsurgical skills with EEG neurofeedback. BMC Neuroscience, 10(1), 87.

Rossi-Izquierdo, M., Ernst, A., Soto -Varela, A., Santos-Pérez, S., Faraldo - García, A., Sesar-Ignacio, Á., & Basta, D. (2013). Vi¬brotactile neurofeedback balance training in patients with Par¬kinson’s disease: Reducing the number of falls. Gait & Posture, 37(2), 195-200.

Rossiter, T. (2002). Neurofeedback for AD/HD: A ratio feedback case study and tutorial. Journal of Neurotherapy, 6(3), 9-35.

Rowan,A.J.,& Tolunsky, E.(2003).Primer of EEG with amini-atlas.Boston: Butterworth. Heinemann

Scott,W.,Brod,T,M.,Siderof,S.,Kaiser,D.,&Sagan,M.(2002,May).Type-specitic EEG biofeedback improves residential Substance abuse treatment. Poster presentation at the meeting of the American Psychiatric Association, Philadephia.Also

Siever,D.(1999).the rediscovery of audio-visual entrainment technology (version 5).

Siever,D.(2004).Applying andio-visual entrainment technology for attention and learning part III.Biofeedback.31(4),24-29.

Stampi,C.,Stone,P.,& Michimori,A.(1995).Anew quantitative method for assessing sleepiness;THE alpha attenuation test. Work stress,9,368-376.

Staufenbiel, S., Brouwer, A. M., Keizer, A., & Van Wouwe, N. (2014). Effect of beta and gamma neurofeedback on memory and- intelligence in the elderly. Biological Psychology, 95, 74-85.

Striefel, S. (1999). Ethical, legal, and professional pitfalls associated with neurofeedback services. In J. R. Evans & A. Arbarbanel (Eds.), Introduction to quantitative EEG and neurofeedback (pp. 371-399). San Diego, CA: Academic press.

Surmeli, T., Ertem, A., Eralp, E., & Kos, I. H. (2012). Schizophrenia and the efficacy of qEEG-guided neurofeedback treatment: a clinical case series. Clinical EEG and Neuroscience, 43(2), 133-144.

Thatcher,R.W.(1999).EEG Database-Guided Neurotherapy.IN J.R.Evans & A. Arbarbanel(Eds),Introduction to quantitative EEG and neurofeedback (pp.29-64).san Diego, Ca;ACADEMIC Press.

Vernon, D. J. (2005). Can neurofeedback training enhance per¬formance? An evaluation of the evidence with implications for future research. Applied Psychophysiol Biofeedback, 30(4), 347-364.

Walker, J. E. (2011). QEEG-guided neurofeedback for recurrent migraine headaches. Clinical EEG and Neuroscience, 42(1), 59-61.

Wenya, N., Lanshin, C., Rodrigues, J. P., Feng, W., Peng Un, M., Pui-In, M., et al. (2012). Neurofeedback for the treatment of schizo¬phrenia: Case study. Paper presented at the Virtual Environ¬ments Human-Computer Interfaces and Measurement Systems (VECIMS), IEEE International Conference on, Tianjin, China.

Yan, N., Wang, J., Liu, M., Zong, L., Jiao, Y., & Yue, J., et al. (2008). Designing a Brain-computer Interface Device for Neurofeed¬back Using Virtual Environments. Medical and Biological Engi¬neering, 28(3), 167-172.

Zandi-Mehran, Y., Firoozabadi, M., & Rostami, R. (2014). Im¬provement of Neurofeedback Therapy for Improved At¬tention Through Facilitation of Brain Activity Using Lo¬cal Sinusoidal Extremely Low Frequency Magnetic Field Exposure. Clinical EEG and Neuroscience, 46(2),1-13

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Published

2021-06-15

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Section

Educational and psychological sciences

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