Proceedings of the 2022 ISNR Annual Conference: Keynote and Plenary Presentations

Authors

  • International Society of NeuroRegulation and Research (ISNR)

DOI:

https://doi.org/10.15540/nr.9.4.187

Keywords:

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

Abstract

Abstracts of Keynote and Plenary Presentation sessions from the 2022 ISNR Annual Conference.

References

--Freeze! You're Under Too Much Stress: Utilizing Neurofeedback for the Mitigation of Law Enforcement Stressors

Arnetz, B. B., Nevedal, D. C., Lumley, M. A., Backman, L., & Lublin, A. (2009). Trauma resilience training for police: Psychophysiological and performance effects. Journal of Police and Criminal Psychology, 24(1), 1–9. https://doi.org/10.1007/s11896-008-9030-y

Carlan, P. E., & Nored, L. S. (2008). An examination of officer stress: Should police departments implement mandatory counseling? Journal of Police and Criminal Psychology, 23(1), 8–15. https://doi.org/10.1007/s11896-008-9015-x

Kaldewaij, R., Koch, S. B. J., Hashemi, M. M., Zhang, W., Klumpers, F., & Roelofs, K. (2021). Anterior prefrontal brain activity during emotion control predicts resilience to post-traumatic stress symptoms. Nature Human Behaviour, 5, 1055–1064. https://doi.org/10.1038/s41562-021-01055-2

Law Enforcement and Mental Health Wellness Act, 163 U.S.C. § 867 (2017).

Loftus, B. (2010). Police occupational culture: Classic themes, altered times. Policing & Society, 20(1), 1–20. https://doi.org/10.1080/10439460903281547

Rajaratnam, S. W., Barger, L. K., Lockley, S. W., Shea, S. A., Wang, W., Landrigan, C. P., O’Brien, C. S., Qadri, S., Sullivan, J. P., Cade, B. E., Epstein, L. J., White, D. P., & Czeisler, C. A., (2011). Sleep disorders, health, and safety in police officers. JAMA, 306(23). 2567–2578. https://doi.org/10.1001/jama.2011.1851

Shucard, J. L., Cox, J., Shucard, D. W., Fetter, H., Chung, C., Ramasamy, D., & Violanti, J. (2012). Symptoms of posttraumatic stress disorder and exposure to traumatic stressors are related to brain structural volumes and behavioral measures of affective stimulus processing in police officers. Psychiatry Research: Neuroimaging, 204(1), 25–31. https://doi.org/10.1016/j.pscychresns.2012.04.006

Van der Kolk, B. A., Hodgdon, H., Gapen, M., Musicaro, R., Suvak, M. K., Hamlin, E., & Spinazzola, J. (2016). A randomized controlled study of neurofeedback for chronic PTSD. PLoS ONE, 11(12), Article e0166752. https://doi.org/10.1371/journal.poe.0166752

Violanti, J. M., & Paton, D. (Eds.) (1999). Police trauma: Psychological aftermath of civilian combat. Charles C Thomas Publisher, Ltd.

Wester, S. R., Arndt, D., Sedivy, S. K., & Arndt, L. (2010). Male police officers and stigma associated with counseling: The role of anticipated risks, anticipated benefits and gender role conflict. Psychology of Men & Masculinity, 11(4), 286–302. https://doi.org/10.1037/a0019108

--Determining the Effectiveness of Bioregulation Therapy/Pulsed Magnetic Frequency on the Reduction of Anxiety Symptoms

Blase, K., Vermetten, E., Lehrer, P., & Gevirtz, R. (2021). Neurophysiological approach by self-control of your stress-related autonomic nervous system with depression, stress and anxiety patients. International Journal of Environmental Research and Public Health, 18(7), 3329. https://doi.org/10.3390/ijerph18073329

Borges, B., Hosek, R., & Esposito, S. (2019). Effects of PEMF (pulsed electromagnetic field) stimulation on chronic pain and anxiety utilizing decreased treatment frequency and duration application. Frontiers in Neurology, 10. https://doi.org/10.3389/conf.fneur.2019.62.00007

Brunoni, A. R., Sampaio-Junior, B., Moffa, A. H., Aparício, L. V., Gordon, P., Klein, I., Rios, R. M., Razza, L. B., Loo, C., Padberg, F., & Valiengo, L. (2018). Noninvasive brain stimulation in psychiatric disorders: a primer. Brazilian Journal of Psychiatry, 41(1), 70–81. https://doi.org/10.1590/1516-4446-2017-0018

Fitzgerald, P. B. (2011). The emerging use of brain stimulation treatments for psychiatric disorders. Australian and New Zealand Journal of Psychiatry, 45(11), 923–938. https://doi.org/10.3109/00048674.2011.615294

Groen, R. N., van Gils, A., Emerencia, A. C., Bos, E. H., & Rosmalen, J. G. M. (2021). Exploring temporal relationships among worrying, anxiety, and somatic symptoms. Journal of Psychosomatic Research, 146, Article 110293. https://doi.org/10.1016/j.jpsychores.2020.110293

Martiny, K., Lunde, M., & Bech, P. (2010). Transcranial low voltage pulsed electromagnetic fields in patients with treatment-resistant depression. Biological Psychiatry, 68(2), 163–169. https://doi.org/10.1016/j.biopsych.2010.02.017

Sandyk, R. (1997). II. Therapeutic effects of alternating current pulsed electromagnetic fields in multiple sclerosis. The Journal of Alternative and Complementary Medicine, 3(4), 365–386.

Shaw, K., Symington, S., & Havas, M. (2017). Pilot study: Pulsed electromagnetic field therapy (PEMFT) alleviates symptoms of osteoarthritis. Novel Techniques in Arthritis & Bone Research, 1(5), 1–8.

Slee, A., Nazareth, I., Bondaronek, P., Liu, Y., Cheng, Z., & Freemantle, N. (2019). Pharmacological treatments for generalized anxiety disorder: A systematic review and network meta-analysis. The Lancet, 393(10173), 768–777. https://doi.org/10.1016/s0140-6736(18)31793-8

Trock, D. H., Bollet, A. J., Markoll, R. (1994). The effect of pulsed electromagnetic fields in the treatment of osteoarthritis of the knee and cervical spine. Report of randomized, double blind, placebo controlled trials. Journal of Rheumatology, 21(10), 1903–1911.

--Treating Acute COVID-19 with Photobiomodulation—Clinical Trial Results and Implications for Long Haul

Ailioaie, L. M., & Litscher, G. (2021). Probiotics, photobiomodulation, and disease management: Controversies and challenges. International Journal of Molecular Sciences, 22(9), Article 4942. https://doi.org/10.3390/ijms22094942

Aisaiti, A., Zhou, Y., Wen, Y., Zhou, W., Wang, C., Zhao, J., Yu, L, Zhang, J, Wang, K., & Svensson, P. (2021). Effect of photobiomodulation therapy on painful temporomandibular disorders. Scientific Reports, 11, Article 9049. https://doi.org/10.1038/s41598-021-87265-0

Aleixo-Junior, I. d. O., Leal-Junior, E. C. P., Casalechi, H. L., Vanin, A. A., de Paiva, P. R. V., dos Santos Monteiro Machado, C., Dias, L. B., Lino, M. M. A., Teixeira, A. M., Johnson, D. S., & Tomazoni, S. S. (2021). Immediate effects of photobiomodulation therapy combined with a static magnetic field on the subsequent performance: A preliminary randomized crossover triple-blinded placebo-controlled trial. Biomedical Optics Express, 12(11), 6940–6953. https://doi.org/10.1364/BOE.442075

Costa, S., G., Barioni, E. D., Ignácio, A., Albuquerque, J., Câmara, N. O. S., Pavani, C., Vitoretti, L. B., Damazo, A. S., Farsky, S. H. P., & Lino-Dos-Santos-Franco, A. (2017). Beneficial effects of red light-emitting diode treatment in experimental model of acute lung injury induced by sepsis. Scientific Reports, 7(1), 12670. https://doi.org/10.1038/s41598-017-13117-5

Hamblin, M. R. (2016). Shining light on the head: Photobiomodulation for brain disorders. BBA Clinical, 6, 113–124. https://doi.org/10.1016/j.bbacli.2016.09.002

Hamblin, M. R. (2017). Mechanisms and applications of the anti-inflammatory effects of photobiomodulation. AIMS Biophysics, 4(3), 337–361. https://doi.org/10.3934/biophy.2017.3.337

Liu, T. C.-Y., Zeng, C.-C., Jiao, J.-L., & Liu, S.-H. (2003). The mechanism of low-intensity laser irradiation effects on virus. Proceedings Volume 5254, Third International Conference on Photonics and Imaging in Biology and Medicine. Wuhan, China. https://doi.org/10.1117/12.546134

Soheilifar, S., Fathi, H., & Naghdi, N. (2020). Photobiomodulation therapy as a high potential treatment modality for COVID-19. Lasers in Medical Science, 36, 935–938. https://doi.org/10.1007/s10103-020-03206-9

--Neurophysiological Psychological and Social Assessment to Define an Integrative Treatment of Neurofeedback and Psychotherapy

Bach, B., & Bernstein, D. P. (2019). Schema therapy conceptualization of personality functioning and traits in ICD-11 and DSM-5. Current Opinion in Psychiatry, 32(1), 38–49. https://doi.org/10.1097/YCO.0000000000000464

Bertolotti, G., Zotti, A. M., Michielin, P., Vidotto, G., & Sanavio, E. (1990). A computerized approach to cognitive behavioural assessment: An introduction to CBA-2.0 primary scales. Journal of Behavior Therapy and Experimental Psychiatry, 21(1), 21–27. https://doi.org/10.1016/0005-7916(90)90045-m

Cantor, D. S., & Chabot, R. (2009). QEEG studies in the assessment and treatment of childhood disorders. Clinical EEG and Neuroscience, 40(2), 113–121. https://doi.org/10.1177/155005940904000209

Dadomo, H., Panzeri, M., Caponcello, D., Carmelita, A., & Grecucci, A. (2018). Schema therapy for emotional dysregulation in personality disorders: A review. Current Opinion in Psychiatry, 31(1), 43–49. https://doi.org/10.1097/YCO.0000000000000380

Kesebir, S., & Yosmaoğlu, A. (2018). QEEG in affective disorder: About to be a biomarker, endophenotype and predictor of treatment response. Heliyon, 4(8), Article e00741. https://doi.org/10.1016/j.heliyon.2018.e00741

Loose, C., & Pietrowsky, R. (2016). Schematherapie bei Kindern und Jugendlichen—eine konzeptuelle und evidenzbasierte übersicht [Schema therapy with children and adolescents—a conceptual and evidence-based overview]. Zeitschrift fur Kinder- und Jugendpsychiatrie und Psychotherapie, 44(6), 432–442. https://doi.org/10.1024/1422-4917/a000443

Rogel, A., Loomis, A. M., Hamlin, E., Hodgdon, H., Spinazzola, J., & van der Kolk, B. (2020). The impact of neurofeedback training on children with developmental trauma: A randomized controlled study. Psychological Trauma: Theory, Research, Practice and Policy, 12(8), 918–929. https://doi.org/10.1037/tra0000648

Ross, M. C., Heilicher, M., & Cisler, J. M. (2021). Functional imaging correlates of childhood trauma: A qualitative review of past research and emerging trends. Pharmacology, Biochemistry and Behavior, 211, Article 173297. https://doi.org/10.1016/j.pbb.2021.173297

Spoto, A., Bottesi, G., Sanavio, E., & Vidotto, G. (2013). Theoretical foundations and clinical implications of formal psychological assessment. Psychotherapy and Psychosomatics, 82(3), 197–199. https://doi.org/10.1159/000345317

Zens, C. (2019). Schematherapie bei psychosomatischen Störungen [Schema Therapy for psychosomatic disorders]. Therapeutische Umschau, 76(5), 239–246. https://doi.org/10.1024/0040-5930/a001094

--Bang, Bottoms Up: The Complexities of Comorbid Trauma and Substance Abuse

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

Bari, A., DiCesare, J., Babayan, D., Runcie, M., Sparks, H., & Wilson, B. (2018). Neuromodulation for substance addiction in human subjects: A review. Neuroscience & Biobehavioral Reviews, 95, 33–43. https://doi.org/10.1016/j.neubiorev.2018.09.013

Centers for Disease Control and Prevention. (2020, December 18). Overdose deaths accelerating during COVID-19. U.S. Department of Health and Human Services. https://www.cdc.gov/media/releases/2020/p1218-overdose-deaths-covid-19.html

Ersche, K. D., Meng, C., Ziauddeen, H., Stochl, J., Williams, G. B., Bullmore, E. T., & Robbins, T. W. (2020). Brain networks underlying vulnerability and resilience to drug addiction. Proceedings of the National Academy of Sciences of the United States of America, 117(26), 15253–15261. https://doi.org/10.1073/pnas.2002509117

Horn, S. R., Roos, L. E., Berkman, E. T., & Fisher, P. A. (2018). Neuroendocrine and immune pathways from pre- and perinatal stress to substance abuse. Neurobiology of Stress, 9, 140–150. https://doi.org/10.1016/j.ynstr.2018.09.004

Kadam, M., Sinha, A., Nimkar, S., Matcheswalla, Y., & De Sousa, A. (2017). A comparative study of factors associated with relapse in alcohol dependence and opioid dependence. Indian Journal of Psychological Medicine, 39(5), 627–633. https://doi.org/10.4103/IJPSYM.IJPSYM_356_17

Le, T. M., Potvin, S., Zhornitsky, S., & Li, C.-S. R. (2021). Distinct patterns of prefrontal cortical disengagement during inhibitory control in addiction: A meta-analysis based on population characteristics. Neuroscience & Biobehavioral Reviews, 127, 255–269. https://doi.org/10.1016/j.neubiorev.2021.04.028

Salavrakos, M., Leclercq, S., De Timary, P., & Dom, G. (2021). Microbiome and substances of abuse. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 105, Article 110113. https://doi.org/10.1016/j.pnpbp.2020.110113

Simpson, T. L., Goldberg, S. B., Louden, D. K. N., Blakey, S. M., Hawn, S. E., Lott, A., Browne, K. C., Lehavot, K., & Kaysen, D. (2021). Efficacy and acceptability of interventions for co-occurring PTSD and SUD: A meta-analysis. Journal of Anxiety Disorders, 84, Article 102490. https://doi.org/10.1016/j.janxdis.2021.102490

--Is Artificial Intelligence the Answer to More Accessible Neurotherapy? Automating Individualized Care to Meet the Current Mental Health Crisis

Becker, J. H., Lin, J. J., Doernberg, M., Stone, K., Navis, A., Festa, J. R., & Wisnivesky, J. P. (2021). Assessment of cognitive function in patients after COVID-19 infection. JAMA Network Open, 4(10), Article e2130645. https://doi.org/10.1001/jamanetworkopen.2021.30645

Berntson, G. G., Cacioppo, J. T., & Bosch, J. A. (2016). From homeostasis to allodynamic regulation. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson (Eds.), Handbook of psychophysiology (4th ed., pp. 401–426). Cambridge University Press. https://doi.org/10.1017/9781107415782.018

Groeneveld, K. M., Mennenga, A. M., Heidelberg, R. C., Martin, R. E., Tittle, R. K., Meeuwsen, K. D., Walker, L. A., & White, E. K. (2019). Z-Score neurofeedback and heart rate variability training for adults and children with symptoms of attention-deficit/hyperactivity disorder: A retrospective study. Applied Psychophysiology and Biofeedback, 44(4), 291–308. https://doi.org/10.1007/s10484-019-09439-x

Hammond, D. C., Bodenhamer-Davis, G., Gluck, G., Stokes, D., Harper, S. H., Trudeau, D., MacDonald, M., Lunt, J., & Kirk, L. (2011). Standards of practice for neurofeedback and neurotherapy: A position paper of the international society for neurofeedback & research. Journal of Neurotherapy, 15(1), 54–64. https://doi.org/10.1080/10874208.2010.545760

Hershaw, J. N., & Hill-Pearson, C. A. (2022). Changes in EEG activity following live z-score training predict changes in persistent post-concussive symptoms: An exploratory analysis. Frontiers in Neurology, 13, Article 714913. https://doi.org/10.3389/fneur.2022.714913

Hershaw, J., Hill-Pearson, C. A., Arango, J. I., Souvignier, A. R., & Pazdan, R. M. (2020a). Changes in attentional processing following neurofeedback in patients with persistent post-concussive symptoms: A pilot study. Brain Injury, 34(13–14), 1723–1731. https://doi.org/10.1080/02699052.2020.1812720

Hershaw, J. N., Hill-Pearson, C. A., Arango, J. I., Souvignier, A. R., & Pazdan, R. M. (2020b). Semi-Automated neurofeedback therapy for persistent postconcussive symptoms in a military clinical setting: A feasibility study. Military Medicine, 185(3–4), e457–e465. https://doi.org/10.1093/milmed/usz335

Nelson, L. A., MacDonald, M., Stall, C., & Pazdan, R. (2013). Effects of interactive metronome therapy on cognitive functioning after blast-related brain injury: A randomized controlled pilot trial. Neuropsychology, 27(6), 666–679. https://doi.org/10.1037/a0034117

Schwab, K., Terrio, H. P., Brenner, L. A., Pazdan, R. M., McMillan, H. P., MacDonald, M., Hinds, S. R., & Scher, A. I. (2017). Epidemiology and prognosis of mild traumatic brain injury in returning soldiers: A cohort study. Neurology, 88(16), 1571–1579. https://doi.org/10.1212/WNL.0000000000003839

Wickwire, E. M., Williams, S. G., Roth, T., Capaldi, V. F., Jaffe, M., Moline, M., Motamedi, G. K., Morgan, G. W., Mysliwiec, V., Germain, A., Pazdan, R. M., Ferziger, R., Balkin, T. J., MacDonald, M. E., Macek, T. A., Yochelson, M. R., Scharf, S. M., & Lettieri, C. J. (2016). Sleep, sleep disorders, and mild traumatic brain injury. What we know and what we need to know: Findings from a national working group. Neurotherapeutics, 13(2), 403–417. https://doi.org/10.1007/s13311-016-0429-3

--PMS Dysphoria Syndrome: qEEG Correlates and sLORETA Default Mode Network and Implications for Trauma

Baller, E. B., Wei, S. M., Kohn, P. D., Rubinow, D. R., Alarcón, G., Schmidt, P. J., & Berman, K. (2013). Abnormalities of dorsolateral prefrontal function in women with premenstrual dysphoric disorder: A multimodal neuroimaging study. American Journal of Psychiatry, 170(3), 305–314. https://doi.org/10.1176/appi.ajp.2012.12030385

Clay, T. H. (2021). Reduced brain electric activity and default mode network (DMN) qEEG and sLORETA correlates in premenstrual syndrome dysphoric disorder (PMDD): A source localization study (Publication number, TBD) [Doctoral dissertation, Saybrook University]. ProQuest Dissertation database. URL, TBD)

De Bondt, T., Smeets, D., Pullens, P., Van Hecke, W., Jacquemyn, Y., & Parizel, P. M. (2015, October 22). Stability of resting state networks in the female brain during hormonal changes and their relation to premenstrual symptoms. Brain Research, 1624, 275–285. https://doi.org/10.1016/j.brainres.2015.07.045

Freeman, E. W., Halberstadt, S. M., Rickels, K., Legler, J. M., Lin, H., & Sammel, M. D. (2011). Core symptoms that discriminate premenstrual syndrome. Journal of Women’s Health, 20(1), 29–35. https://doi.org/10.1089/jwh.2010.2161

Koci, A., & Strickland, O. (2007). Relationship of adolescent physical and sexual abuse to perimenstrual symptoms (PMS) in adulthood. Issues in Mental Health Nursing, 28(1), 75–87. https://doi.org/10.1080/01612840600996281

Leary, P. M., & Batho, K. (1979). Changes in the electroencephalogram related to the menstrual cycle. South African Medical Journal, 55(17), 666. https://pubmed.ncbi.nlm.nih.gov/572587

Ossewaarde, L., Hermans, E. J., van Wingen, G. A., Kooijman, S. C., Johansson, I.-M., Bäckström, T., & Fernández, G. (2010). Neural mechanisms underlying changes in stress-sensitivity across the menstrual cycle. Psychoneuroendocrinology, 35(1), 47–55. https://doi.org/10.1016/j.psyneuen.2009.08.011

Petersen, N., Ghahremani, D. G., Rapkin, A. J., Berman, S. M., Liang, L., & London, E. D. (2018). Brain activation during emotion regulation in women with premenstrual dysphoric disorder. Psychological Medicine, 48(11), 1795–1802. https://doi.org/10.1017/S0033291717003270

Solis-Ortiz, S., Ramos, J., Arce, C., Guevara, M. A., & Corsi-Cabrera, M. (1994). EEG oscillations during menstrual cycle. The International Journal of Neuroscience, 76(3–4), 279–292. https://doi.org/10.3109/00207459408986010

Strickland, O. L., & Cantor, D. S. (1990). Neurophysiological correlates of perimenstrual symptoms: A pilot study. Archives of Clinical Neuropsychology, 5(2), 218. https://doi.org/10.1093/arclin/5.2.218

--Frontal Gamma Microstates in Addiction and Recovery

Baehr, E., Rosenfeld, P., Baehr, R., & Earnest, C. (1998). Comparison of two EEG asymmetry indices in depressed patients vs. normal controls. International Journal of Psychophysiology, 31, 89–92. https://doi.org/10.1016/s0167-8760(98)00041-5

Bonnstetter, R. J., & Collura, T. F. (2020). Brain activation imaging in emotional decision making and mental health: A review—part 1. Clinical EEG and Neuroscience, 52(2), 98–104. https://doi.org/10.1177/1550059420916636

Choi, B. C. K., & Pak, A. W. P. (2005). A catalog of biases in questionnaires. Preventing Chronic Disease, 2(1), A13.

Coan, J. A., & Allen, J. J. B. (2003). Frontal EEG asymmetry and the behavioral activation and inhibition systems. Psychophysiology, 40(1), 106–114. https://doi.org/10.1111/1469-8986.00011

Custo, A., Van De Ville, D., Wells, W. M., Tomescu, M. I., Brunet, D., & Michel, C. M. (2017) Electroencephalographic resting-state networks: Source localization of microstates. Brain Connectivity, 7(10), 671–682. https://doi.org/10.1089/brain.2016.0476

Tomarken, A. J., Davidson, R. J., & Henriques, J. B. (1990). Resting frontal brain asymmetry predicts affective responses to films. Journal of Personality and Social Psychology, 59(4), 791–801. https://doi.org/10.1037/0022-3514.59.4.791

Van Honk, J., & Schutter, D. J. L. G. (2005). Dynamic brain systems in quest for emotional homeostasis. Behavioral and Brain Sciences, 28(2), 220–221. https://doi.org/10.1017/S0140525X05490044

Van Honk, J., & Schutter, D. J. L. G. (2006). From affective valence to motivational direction: The frontal asymmetry of emotion revised. Psychological Science, 17(11), 963–965. https://doi.org/10.1111/j.1467-9280.2006.01813.x

Wheeler, R. E., Davidson, R. J., & Tomarken, A. J. (1993). Frontal brain asymmetry and emotional reactivity: A biological substrate of affective style. Psychophysiology, 30(1), 82–89. https://doi.org/10.1111/j.1469-8986.1993.tb03207.x

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2022-12-30

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Vol. 9 No. 4 (2022)

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Proceedings

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