Proceedings of the 2022 ISNR Annual Conference: Poster Presentations


  • International Society of NeuroRegulation and Research (ISNR)



ISNR, conference proceedings, neurofeedback, qeeg, neuromodulation, neuroregulation


Abstracts of Poster presentations at the 2022 ISNR Annual Conference.


--QEEG Individualized Protocols for the Treatment of Alcohol Use Disorder

Da, B. L., Im, G. Y., & Schiano, T. D. (2020). Coronavirus Disease 2019 hangover: A rising tide of alcohol use disorder and alcohol-associated liver disease. Hepatology, 72(3), 1102–1108.

Dousset, C., Kajosch, H., Ingels, A., Schröder, E., Kornreich, C., & Campanella, S. (2020). Preventing relapse in alcohol disorder with EEG-neurofeedback as a neuromodulation technique: A review and new insights regarding its application. Addictive Behaviors, 106, Article 106391.

Hammond, D. C. (2010). The need for individualization in neurofeedback: Heterogeneity in QEEG patterns associated with diagnoses and symptoms. Applied Psychophysiology and Biofeedback, 35(1), Article 31.

Hammond, D. C., Walker, J., Hoffman, D., Lubar, J. F., Trudeau, D., Gurnee, R., & Horvat, J. (2004). Standards for the use of quantitative electroencephalography (QEEG) in neurofeedback: A position paper of the International Society for Neuronal Regulation. Journal of Neurotherapy, 8(1), 5–27.

Peniston, E. G., & Kulkosky, P. J. (1989). Alpha-theta-brainwave training and beta-endorphin levels in alcoholics. Alcoholism-Clinical and Experimental Research, 13(2), 271–279.

Peniston, E. G., & Kulkosky, P. J. (1990). Alcoholic personality and alpha-theta brainwave training. Medical Psychotherapy: An International Journal, 3, 37–55.

Saunders, J. B., Aasland, O. G., Babor, T. F., de La Fuente, J. R., & Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction, 88(6), 791–804.

Scott, W., & Kaiser, D. (1998). Augmenting chemical dependency treatment with neurofeedback training. Journal of Neurotherapy, 3(1), 66.

Sokhadze, T. M., Cannon, R. L., & Trudeau, D. L. (2008). EEG biofeedback as a treatment for substance use disorders: Review, rating of efficacy, and recommendations for further research. Applied Psychophysiology and Biofeedback, 33(1), 1–28.

Thatcher, R. W., Lubar, J. F., & Koberda, J. L. (2019). Z-Score EEG biofeedback: Past, present, and future. Biofeedback, 47(4), 89–103.

--Comparison Between Audiovisual and Visual Beta Neurofeedback for Attention Enhancement

Chaney, W. R. (2005). Top-of-hour break renews attention span. Teaching Professor, 19(6), 1–5.

Hamid, A., Shahzad, T., Faridi, S., & Nadeem, A. (2020). Frequency of behavioural tendencies resembling attention-deficit hyperactivity disorders in undergraduate medical students: a cross sectional study. Journal of the Pakistan Medical Association, 70(9), 1671–1675.

Hunkin, H., King, D. L., & Zajac, I. T. (2021). EEG neurofeedback during focused attention meditation: Effects on state mindfulness and meditation experiences. Mindfulness, 12(4), 841–851.

Jurewicz, K., Paluch, K., Kublik, E., Rogala, J., Mikicin, M., & Wróbel, A. (2018). EEG-neurofeedback training of beta band (12–22 Hz) affects alpha and beta frequencies—A controlled study of a healthy population. Neuropsychologia, 108, 13–24.

Thomas, K. P., Vinod, A. P., & Guan, C. (2013). Design of an online EEG based neurofeedback game for enhancing attention and memory. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 433–436.

--Dynamics of the Psycho-Emotional State and fMRI Neuroimaging During Biofeedback Training Course

Berman, M. G., Jonides, J., & Nee, D. E. (2006). Studying mind and brain with fMRI. Social Cognitive and Affective Neuroscience, 1(2), 158–161.

Jafarova, O., Mazhirina, K., Sokhadze, E., & Shtark, M. (2020). Self-regulation strategies and heart rate biofeedback training. Applied Psychophysiology and Biofeedback, 45(2), 87–98.

Mazhirina, K. G., Jafarova, O. A., Pervushina, O. N., & Redko, N. G. (2010). The development and mastering of the skills of self-regulation in the course of game biofeedback: Psychological analysis. Bulletin of the Siberian Medicine, 9(2), 129–133.

Shtark, M. B., Mazhirina, K., Rezakova, M., Savelov, A., Pokrovsky, M., & Jafarova, O. (2014). Neuroimaging phenomenology of the central self-regulation mechanisms. Journal of Behavioral and Brain Science, 4(1), 58–68.

--Real-Time fMRI-EEG Neurofeedback for Stroke Rehabilitation

Emmert, K., Kopel, R., Sulzer, J., Brühl, A. B., Berman, B. D., Linden, D. E. J., Horovitz, S. G., Breimhorst, M., Caria, A. Frank, S., Johnston, S., Long, Z., Pare, C., Robineau, F., Veit, R., Bartsch, A., Beckmann, C. F., … & Haller, S. (2016). Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? NeuroImage, 124(Part A), 806–812.

Kilner, J. M., Mattout, J., Henson, R., & Friston, K. J. (2005). Hemodynamic correlates of EEG: A heuristic. NeuroImage, 28(1), 280–286.

Marecek, R., Lamos, M., Mikl, M., Barton, M., Fajkus, J., Rektor, I., & Brazdil, M. (2016). What can be found in scalp EEG spectrum beyond common frequency bands. EEG-fMRI study. Journal of Neural Engineering, 13(4), Article 046026.

Meir-Hasson, Y., Kinreich, S., Podlipsky, I., Hendler, T., & Intrator, N. (2014). An EEG finger-print of fMRI deep regional activation. NeuroImage, 102(Part 1), 128–141.

Murta, T., Leite, M., Carmichael, D. W., Figueiredo, P., & Lemieux, L. (2015). Electrophysiological correlates of the BOLD signal for EEG-informed fMRI. Human Brain Mapping, 36(1), 391–414.

Rosa, M. J., Daunizeau, J., & Friston, K. J. (2010). EEG-fMRI integration: A critical review of biophysical modeling and data analysis approaches. Journal of Integrative Neuroscience, 9(4), 453–476.

Rudnev, V., Melnikov, M., Savelov, A., Shtark, M., & Sokhadze, E. (2021). fMRI-EEG fingerprint regression model for motor cortex. NeuroRegulation, 8(3), 162–172.

--Braingomo: An Innovative Smartphone-Based Neurofeedback Platform

Arns, M., Heinrich, H., & Strehl, U. (2014). Evaluation of neurofeedback in ADHD: The long and winding road. Biological Psychology, 95, 108–115.

Bussalb, A., Congedo, M., Barthélemy, Q., Ojeda, D., Acquaviva, E., Delorme, R., & Mayaud, L. (2019). Clinical and experimental factors influencing the efficacy of neurofeedback in ADHD: A meta-analysis. Frontiers in Psychiatry, 10, 35.

Chen, S.-M., Ramachandran, R., Mani, V., & Saraswathi, R. (2014). Recent advancements in electrode materials for the high-performance electrochemical supercapacitors: A review. International Journal of Electrochemical Science, 9(8), 4072–4085.

Cortese, S., Ferrin, M., Brandeis, D., Holtmann, M., Aggensteiner, P., Daley, D., Santosh, P., Simonoff, E., Stevenson, J., Stringaris, A., Sonuga-Barke, E. J. S., & European ADHD Guidelines Group (EAGG). (2016). Neurofeedback for attention-deficit/hyperactivity disorder: Meta-analysis of clinical and neuropsychological outcomes from randomized controlled trials. Journal of the American Academy of Child & Adolescent Psychiatry, 55(6), 444–455.

Kadosh, K. C., & Staunton, G. (2019). A systematic review of the psychological factors that influence neurofeedback learning outcomes. NeuroImage, 185, 545–555.

Marzbani, H., Marateb, H. R., & Mansourian, M. (2016). Neurofeedback: A comprehensive review on system design, methodology and clinical applications. Basic and Clinical Neuroscience, 7(2), 143–158.

Van Doren, J., Arns, M., Heinrich, H., Vollebregt, M. A., Strehl, U., & Loo, S. (2019). Sustained effects of neurofeedback in ADHD: A systematic review and meta-analysis. European Child & Adolescent Psychiatry, 28(3), 293–305.

--QEEG-Guided sLORETA Neurofeedback Effects on Event-Related Potentials and Cognitive Performance on a Stroke Sufferer: A Case Study

Kober, S. E., Schweiger, D., Reichert, J. L., Neuper, C., & Wood, G. (2017). Upper alpha based neurofeedback training in chronic stroke: Brain plasticity processes and cognitive effects. Applied Psychophysiology and Biofeedback, 42(1), 69–83.

Kober, S. E., Schweiger, D., Witte, M., Reichert, J. L., Grieshofer, P., Neuper, C., & Wood, G. (2015). Specific effects of EEG based neurofeedback training on memory functions in post-stroke victims. Journal of NeuroEngineering and Rehabilitation, 12, Article 107.

Koberda, L. (2015). LORETA Z-score neurofeedback effectiveness in rehabilitation of patients suffering from Traumatic Brain Injury. Journal of Neurology and Neurobiology, 1(4).

Koberda, L., Koberda, P., Moses, A., Winslow, J., Bienkiewicz, A., & Koberda, L. (2014). Z-score LORETA neurofeedback as a potential therapy for ADHD. Biofeedback, 42(2), 74–81

Koberda, J. L., & Stodolska-Koberda, U. (2014). Z-score LORETA Neurofeedback as a potential rehabilitation modality in patients with CVA. Journal of Neurology & Stroke, 1(5), 00029.

Mihara, M., Fujimoto, H., Hattori, N., Otomune, H., Kajiyama, Y., Konaka, K., Watanabe, Y., Hiramatsu, Y., Sunada, Y., Miyai, I., & Mochizuki, H. (2021). Effect of neurofeedback facilitation on poststroke gait and balance recovery: A randomized controlled trial. Neurology, 96(21), e2587–e2598.

--Effect of TMS on EEG Biomarker in a Patient with PTSD Performance on a Stroke Sufferer: A Case Study

Duvinage, M., Castermans, T., Petieau, M., Hoellinger, T., Cheron, G., & Dutoit, T. (2013). Performance of the Emotiv Epoc headset for P300-based applications. BioMedical Engineering OnLine, 12(1), Article 56.

Jonas, D. E., Cusack, K., Forneris, C. A., Wilkins, T. M., Sonis, J., Middleton, J. C., Feltner, C., Meredith, D., Cavanaugh, J., Brownley, K. A., Olmsted, K. R., Greenblatt, A., Weil, A., & Gaynes, B. N. (2013). Psychological and pharmacological treatments for adults with posttraumatic stress disorder (PTSD) [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US), (Report No.: 13-EHC011-EF.), 3–8.

Sendi, M. S. E., Inman, C. S., Bijanki, K. R., Blanpain, L., Park, J. K., Hamann, S., Gross, R. E., Willie, J. T., & Mahmoudi, B. (2021). Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning. Brain Stimulation, 14(6), 1511–1519.

Yehuda, R., Hoge, C. W., McFarlane, A. C., Vermetten, E., Lanius, R. A., Nievergelt, C. M., Hobfoll, S. E., Koenen, K. C., Neylan, T. C., & Hyman, S. E. (2015). Post-traumatic stress disorder. Nature Reviews Disease Primers, 1(October), Article 15057.

Zandvakili, A., Philip, N. S., Jones, S. R., Tyrka, A. R., Greenberg, B. D., & Carpenter, L. L. (2019). Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study. Journal of Affective Disorders, 252(March), 47–54.

--Loreta Z-Score Neurofeedback in Nine Clients with Anxiety and Posterior Cingulated Deviations

Drobnjak, S. (2013). Brief symptom inventory. In M. D. Gellman & J. R. Turner (Eds.), Encyclopedia of behavioral medicine (pp. 269–270). Springer New York.

Duric, N. S., Assmus, J., Gundersen, D., & Elgen, I. B. (2012). Neurofeedback for the treatment of children and adolescents with ADHD: a randomized and controlled clinical trial using parental reports. BMC Psychiatry, 12, Article 107.

Koberda, J. L. (2015). LORETA Z-score neurofeedback-effectiveness in rehabilitation of patients suffering from traumatic brain injury. Journal of Neurology and Neurobiology, 1(4).

Koberda, J. L., Koberda, P., Moses, A., Winslow, J., Bienkiewicz, A., & Koberda, L. (2014). Z-Score LORETA neurofeedback as a potential therapy for ADHD. Biofeedback, 42(2), 74–81.

Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K. D., Wood, G., Whitfield-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Van De Ville, D., Todder, D., Surmeli, T., Sulzer, J. S., Strehl, U., Sterman, M. B., Steiner, N. J., Sorger, B., Soekadar, S. R., Sitaram, R., Sherlin, L. H., … Thibault, R. T. (2019, January 23). Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain, 143(6), 1674–1685.

Thatcher, R. W. (2013). Latest developments in live Z-Score training: Symptom check list, phase reset, and Loreta Z-Score biofeedback. Journal of Neurotherapy, 17(1), 69–87.

Thatcher, R. W., & Lubar, J. F. (Eds.) (2015). Z Score neurofeedback: Clinical applications. Academic Press.

Thatcher, R. W., North, D., & Biver, C. (2005). Evaluation and validity of a LORETA normative EEG database. Clinical EEG and Neuroscience, 36(2), 116–122.

Thatcher, R. W., Walker, B. A., Biver, C. J., North, D. M., & Curtin, R. (2003). Sensitivity and specificity of an EEG database: Validation and clinical correlation. Journal of Neurotherapy, 7(3/4), 87–121.

Wigton, N. L. (2013, 2013/10/01). Clinical perspectives of 19-channel Z-Score neurofeedback: Benefits and limitations. Journal of Neurotherapy, 17(4), 259–264.

Wigton, N., & Krigbaum, G. (2015, 08/10). A review of qEEG-guided neurofeedback. NeuroRegulation, 2(3), 149–155.

--The Application of Biofeedback and Neurofeedback in Underserved Children and Adolescents in Pediatric Neurology

Antle, A. N., Chesick, L., Sridharan, S. K., & Cramer, E. (2018). East meets west: a mobile brain-computer system that helps children living in poverty learn to self-regulate. Personal and Ubiquitous Computing, 22, 839–866.

Antle, A. N., McLaren, E. S., Fiedler, H., & Johnson, N. (2019). Evaluating the impact of a mobile neurofeedback app for young children at school and home. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery: New York, NY.

Caporino, N. E., Chen, J. I., & Karver, M. S. (2014). Preliminary examination of ethnic group differences in adolescent girls' attitudes toward depression treatments. Cultural Diversity & Ethnic Minority Psychology, 20(1), 37–42.

DeBarros, A. M. V. (2020). Examining psychotherapeutic treatment approach preference in a Hispanic population. ProQuest Dissertations & Theses Global.

Gooch, L., Pracht, E., & Borenstein, A. (2017). The burden of neurological disease in the United States: A summary report and call to action. Annals of Neurology, 81(4), 479–484.

Kelley, M. (1997). Native Americans, neurofeedback, and substance abuse theory: Three year outcome of alpha/theta neurofeedback training in the treatment of problem drinking among Dine' (Navajo) people. Journal of Neurotherapy, 2(3), 24–60.

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Weerdmeester, J., van Rooij, M. M. J. W., Engels, R. C. M. E., & Granic, I. (2020). An integrative model for the effectiveness of biofeedback interventions for anxiety regulation: Viewpoint. Journal of Medical Internet Research, 22(7), Article e14958.

Zhu, J. M., Breslau, J., & McConnell, K. J. (2021). Medicaid managed care network adequacy standards for mental health care access: Balancing flexibility and accountability. JAMA Health Forum, 2(5), Article e210280.

--Power Spectrum Analysis in a SMR/Theta Neurofeedback Protocol Using Different Behavioral Strategies

Brickwedde, M., Krüger, M. C., & Dinse, H. R. (2019). Somatosensory alpha oscillations gate perceptual learning efficiency. Nature Communications, 10(1), Article 263.

Crivelli, D., Fronda, G., & Balconi, M. (2019). Neurocognitive enhancement effects of combined mindfulness—neurofeedback training in sport. Neuroscience, 412, 83–93.

Dessy, E., Mairesse, O., van Puyvelde, M., Cortoos, A., Neyt, X., & Pattyn, N. (2020). Train your brain? Can we really selectively train specific EEG frequencies with neurofeedback training. Frontiers in Human Neuroscience, 14, Article 22.

Gonçalves, Ó. F., Carvalho, S., Mendes, A. J., Leite, J., & Boggio, P. S. (2018). Neuromodulating attention and mind-wandering processes with a single session real time EEG. Applied Psychophysiology and Biofeedback, 43(2), 143–151.

Gruzelier, J., Inoue, A., Smart, R., Steed, A., & Steffert, T. (2010). Acting performance and flow state enhanced with sensory-motor rhythm neurofeedback comparing ecologically valid immersive VR and training screen scenarios. Neuroscience Letters, 480(2), 112–116.

Jirayucharoensak, S., Israsena, P., Pan-ngum, S., Hemrungrojn, S., & Maes, M. (2019). A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment. Clinical Interventions in Aging, 14, 347–360.

Pei, G., Wu, J., Chen, D., Guo, G., Liu, S., Hong, M., & Yan, T. (2018). Effects of an integrated neurofeedback system with dry electrodes: EEG acquisition and cognition assessment. Sensors, 18(10), Article 3396.

--Effect of Transcutaneous Electrical Nerve Stimulation of the Auricular Branch of the Vagus Nerve for the Treatment of Anxiety

Badran, B. W., Mithoefer, O. J., Summer, C. E., LaBate, N. T., Glusman, C. E., Badran, A. W., DeVries, W. H., Summers, P. M., Austelle, C. W., McTeague, L. M., Borckardt, J. J., & George, M. S. (2018). Short trains of transcutaneous auricular vagus nerve stimulation (taVNS) have parameter-specific effects on heart rate. Brain Stimulation, 11(4), 699–708.

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De Couck, M., Cserjesi, R., Caers, R., Zijlstra, W. P., Widjaja, D., Wolf, N., Luminet, O., Ellrich, J., & Gidron, Y. (2017). Effects of short and prolonged transcutaneous vagus nerve stimulation on heart rate variability in healthy subjects. Autonomic Neuroscience: Basic & Clinical, 203, 88–96.

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Warren, C. M., Tona, K. D., Ouwerkerk, L., van Paridon, J., Poletiek, F., van Steenbergen, H., Bosch, J. A., & Nieuwenhuis, S. (2019). The neuromodulatory and hormonal effects of transcutaneous vagus nerve stimulation as evidenced by salivary alpha-amylase, salivary cortisol, pupil diameter, and the P3 event-related potential. Brain Stimulation, 12(3), 635–642.

Yakunina, N., Kim, S. S., & Nam, E.-C. (2017). Optimization of transcutaneous vagus nerve stimulation using functional MRI. Neuromodulation: Journal of the International Neuromodulation Society, 20(3), 290–300.