The Suisun Summit 2022: Emerging Themes and Open Questions in qEEG and Neurotherapies

Authors

  • Rogene M. Eichler West Northwest Neuro Professionals, LLC, Seattle, Washington, USA
  • Mary Tracy NeuroTraining Strategies, Davis, California, USA
  • Ronald J. Swatzyna Houston Neuroscience Brain Center, Houston, Texas, USA
  • Robert P. Turner Network Neurology Health, Charleston, South Carolina, USA
  • Michael Pierce Grey Matters Neurofeedback & Counseling, Lakewood, Colorado, USA
  • Mark Jones University of Texas at San Antonio, Well Mind Center, San Antonio, Texas, USA
  • Nicky Whittredge Saybrook University, Pasadena, California, USA
  • Jessica Eure Virginia Center for Neurofeedback, Attachment & Trauma, Charlottesville, Virginia, USA
  • Giancarlo Licata Vital Brain Health, Pasadena, California, USA
  • Taylor Capozziello Elite Physiology, Inc, San Francisco, California, USA
  • Rachman Chung NeuroAxis Health, San Francisco, California, USA
  • Clementine Clerc OPTIMA neurofeedback, Marseille, France
  • Shari Johansson Grey Matters Neurofeedback & Counseling, Lakewood, Colorado, USA
  • Myler Leachman Convergent Brain Diagnostics, PC, El Dorado Hills, California, USA
  • Christy Lewis The Biofeedback, Education, & Training Center, PLLC, Plano, Texas, USA
  • Yvonne Tate TRS Neurofeedback, Lakewood, Colorado, USA
  • Gay L. Teurman Brain Health Clinic, Sacramento, California, USA
  • Crystal Turman Wellspring Counseling Services, LLC, Satellite Beach, Florida, USA
  • Linda Weber Mindful Feedback, London, Ontario, Canada
  • Mica Stumpf East Bay Agency for Children, Oakland, California, USA
  • Jay Gunkelman Private Consulting, Suisun, California, USA

DOI:

https://doi.org/10.15540/nr.10.1.42

Keywords:

EEG, qEEG, neurofeedback, education, conference review, best practices

Abstract

The Suisun Summit 2022 was a gathering of 70 clinicians, educators, and researchers in quantitative electroencephalography and neurofeedback. During this 5-day event, several themes emerged in talks or discussion groups: EEG/qEEG Reading Skills; Medication Effects and Pharmaco-EEG; Technological Advancements; Emerging Concerns; and Growing Community Prestige through Research. Participants were asked to summarize what they believed to be the most important messages from the event to share with colleagues who were not in attendance, resulting in this review. A unifying concept for all the themes was a desire for higher quality, standardized EEG/qEEG education that provides depth as well as breadth. Models of clinical care that encourage open communication with prescribers and functional medicine specialists were strongly emphasized. Abstracts from all presentations are attached in Addendum B.

References

Arns, M., Gunkelman, J., Breteler, M., & Spronk, D. (2008). EEG phenotypes predict treatment outcome to stimulants in children with ADHD. Journal of Integrative Neuroscience, 7(03), 421–438. https://doi.org/10.1142/s0219635208001897

Byrom, B., McCarthy, M., Schueler, P. & Muehlhauser, W. (2018). Brain monitoring devices in neuroscience clinical research: The potential of remote monitoring using sensors, wearables, and mobile devices. Clinical Pharmacology & Therapeutics, 104(1), 59–71. https://doi.org/10.1002/cpt.1077

Gunkelman, J. (2014). Medication prediction with electroencephalography phenotypes and biomarkers. Biofeedback, 42(2), 68–73. https://doi.org/10.5298/1081-5937-42.2.03

Lakhani, N. (2022, October 23). Exposure to environmental toxins may be root of rise in neurological disorders. The Guardian. https://www.theguardian.com/us-news/2022/oct/23/environmental-toxins-neurological-disorders-parkinsons-alzheimers

Leichsenring, F, Steinert, C, Rabung, S, & loannidis, J. P. A. (2022). The efficacy of psychotherapies for mental disorders in adults: An umbrella review and meta-analytic evaluation of recent meta-analyses. World Psychiatry, 21(1), 133–145. https://doi.org/10.1002/wps.20941

Lin, C.-C. K. (2005). EEG manifestations in metabolic encephalopathy. Acta Neurologica Taiwanica, 14(3), 151–161.

Loo, S. K., Bilder, R. M., Cho, A. L., Sturm, A., Cowen, J., Walshaw, P., Levitt, J., Del’Homme, M., Piacentini, J., McGough, J. J., & McCracken, J. T. (2016). Effects of d-methylphenidate, guanfacine, and their combination on electroencephalogram resting state spectral power in attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 55(8), 674–682. https://doi.org/10.1016/j.jaac.2016.04.020

Mehra, A. (2022, November 11). Personalized medicine industry sizeworth $~500 billion by 2027. Market Research Firm. https://www.marketsandmarkets.com/PressReleases/personalizedmedicine

Nunez, P. L., & Srinivasan R. (2006). Electric fields of the Brain: The Neurophysics of EEG. Oxford University Press.

Schomer, D. L., & da Silva, F. H. L. (Eds.) (2011). Niedermeyer’s electroencephalography: Basic principles, clinical applications, and related fields (6th ed.). Lippincott Williams & Wilkins.

Siever, D., & Collura, T. (2017). Chapter 3 - Audio–visual entrainment: Physiological mechanisms and clinical outcomes. In J. R. Evans, & R. P. Turner, Rhythmic stimulation procedures in neuromodulation (pp. 51–95). Academic Press. https://doi.org/10.1016/b978-0-12-803726-3.00003-1

Swatzyna, R. J., Kozlowski, G. P., & Tarnow, J. D. (2015). Pharmaco-EEG: A study of individualized medicine in clinical practice. Clinical EEG and Neuroscience, 46(3), 192–196. https://doi.org/10.1177/1550059414556120

Swatzyna, R. J., Tarnow, J. D., Tannous, J. D., Pillai, V., Schieszler, C., & Kozlowski, G. P. (2014). EEG/QEEG technology identifies neurobiomarkers critical to medication selection and treatment in refractory cases. Journal of Psychology & Clinical Psychiatry, 1(7), 00046. https://doi.org/10.15406/jpcpy.2014.01.00046

Van der Kolk, B. A. (1994). The body keeps the score: Memory and the evolving psychobiology of posttraumatic stress. Harvard Review of Psychiatry, 1(5), 253–265. https://doi.org/10.3109/10673229409017088

Ventriglio, A., Bellomo, A., di Gioia, I., Di Sabatino, D., Favale, D., De Berardis, D., & Cianconi, P. (2021). Environmental pollution and mental health: A narrative review of literature. CNS Spectrums, 26(1), 51–61. https://doi.org/10.1017/s1092852920001303

Weber, D., McCarthy, D., & Pathmanathan, J. (2016). An effective automated method for teaching EEG interpretation to neurology residents. Seizure, 40, 10–12. https://doi.org/10.1016/j.seizure.2016.05.009

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Published

2023-03-30

Issue

Vol. 10 No. 1 (2023)

Section

Proceedings

License

Copyright (c) 2023 Rogene M. Eichler West, Mary Tracy, Ronald J. Swatzyna, Robert P. Turner, Michael Pierce, Mark Jones, Nicky Whittredge, Jessica Eure, Giancarlo Licata, Taylor Capozziello, Rachman Chung, Clementine Clerc, Shari Johansson, Myler Leachman, Christy Lewis, Yvonne Tate, Gay L. Teurman, Crystal Turman, Linda Weber, Mica Stumpf, Jay Gunkelman

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