Proceedings of the 2018 ISNR Annual Conference

  • International Society for Neurofeedback and Research (ISNR)
Keywords: neurofeedback, neuromodulation, EEG, qEEG, neurotherapy, ISNR


Selected Abstracts of Conference Presentations at the 2018 International Society for Neurofeedback and Research (ISNR) 26th Annual Conference, Glendale, AZ, USA


-----Tuning the Traumatized Brain: LORETA Z-score Neurofeedback and Heart Rate Variability Biofeedback for Chronic PTSD

Foster, D. S., & Thatcher, R. W. (2015). Surface and LORETA neurofeedback in the treatment of post-traumatic stress disorder and mild traumatic brain injury. In R. W. Thatcher & D. S. Foster (Eds.), Z score neurofeedback: Clinical applications (pp. 59–92). San Diego, CA: Academic Press.

Gapen, M., van der Kolk, B. A., Hamlin, E., Hirshberg, L., Suvak, M., & Spinazzola, J. (2016). A pilot study of neurofeedback for chronic PTSD. Applied Psychophysiology and Biofeedback, 41(3), 251–261.

Huang-Storms, L., Bodenhamer-Davis, E., Davis, R., & Dunn, J. (2006). QEEG-guided neurofeedback for children with histories of abuse and neglect: Neurodevelopmental rationale and pilot study. Journal of Neurotherapy, 10(4), 3–16.

Kluetsch, R. C., Ros, T., Théberge, J., Frewen, P. A., Calhoun, V. D., Schmahl, C., … Lanius, R. A. (2014). Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback. Acta Psychiatrica Scandinavica, 130(2), 123–136.

Lanius, R. A., Frewen, P. A., Tursich, M., Jetly, R., & McKinnon, M. C. (2015). Restoring large-scale brain networks in PTSD and related disorders: A proposal for neuroscientifically-informed treatment interventions. European Journal of Psychotraumatology, 6(1). /ejpt.v6.27313

Paret, C., Kluetsch, R., Ruf, M., Demirakca, T., Hoesterey, S., Ende, G., & Schmahl, C. (2014). Down-regulation of amygdala activation with real-time fMRI neurofeedback in a healthy female sample. Frontiers in Behavioral Neuroscience, 8, 299.

Peniston, E. G., & Kulkosky, P. J. (1991). Alpha-theta brainwave neurofeedback therapy for Vietnam veterans with combat-related post-traumatic stress disorder. Medical Psychotherapy, 4, 47–60.

Peniston, E. G., Marrinan, D. A., Deming, W. A., & Kulkosky, P. J. (1993). EEG alpha-theta brainwave synchronization in Vietnam theater veterans with combat-related post-traumatic stress disorder and alcohol abuse. Advances in Medical Psychotherapy, 6, 37–50.

Pop-Jordanova, N., & Zorcec, T. (2004). Child trauma, attachment and biofeedback mitigation. Prilozi / Makedonska Akademija Na Naukite I Umetnostite, Oddelenie Za Biološki I Medicinski Nauki = Contributions / Macedonian Academy of Sciences and Arts, Section of Biological and Medical Sciences, 25(1–2), 103–114.

Ros, T., Baars, B. J., Lanius, R. A., & Vuilleumier, P. (2014). Tuning pathological brain oscillations with neurofeedback: A systems neuroscience framework. Frontiers in Human Neuroscience, 8, 1008.

Smith, W. D. (2008). The effect of neurofeedback training on PTSD symptoms of depression and attention problems among military veterans. Capella University. Retrieved from

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), e0166752.

-----Personalized EEG-Neurofeedback as a Treatment for ADHD

Arns, M., de Ridder, S., Strehl, U., Breteler, M., & Coenen, A. (2009). Efficacy of neurofeedback treatment in ADHD: The effects on inattention, impulsivity and hyperactivity: A meta-analysis. Clinical EEG Neuroscience, 40(3), 180–189.

Arns, M., Drinkenburg, W., & Kenemans, J. L. (2012). The effects of qEEG-informed neurofeedback in ADHD: An open-label pilot study. Applied Psychophysiology and Biofeedback, 37(3), 171–180.

Johnstone, J., Gunkelman, J., & Lunt, J. (2005). Clinical database development: Characterization of EEG phenotypes. Clinical EEG and Neuroscience, 36(2), 99–107.

-----The Nonlinear Brain: Investigating Neural Entrainment Using Missing Pulse Rhythms

Bauer, A.-K. R., Kreutz, G., & Herrmann, C. S. (2015). Individual musical tempo preference correlates with EEG beta rhythm. Psychophysiology, 52(4), 600–604.

Large, E. W. (2010). Neurodynamics of music. In M. R. Jones, R. R. Fay, & A. N. Popper (Eds.), Springer Handbook of Auditory Research, Volume 36: Music perception (Vol. 36, pp. 201–231). Springer Science+Business Media, LLC. Retrieved from

Large, E. W., Herrera, J. A., & Velasco, M. J. (2015). Neural networks for beat perception in musical rhythm. Frontiers in Systems Neuroscience, 9, 159.

Repp, B. H. (2005a). Rate limits of on-beat and off-beat tapping with simple auditory rhythms: 2. The roles of different kinds of accent. Music Perception, 23(2), 165–188.

Repp, B. H. (2005b). Sensorimotor synchronization: A review of the tapping literature. Psychonomic Bulletin & Review, 12(6), 969–992.

Tal, I., Large, E. W., Rabinovitch, E., Wei, Y., Schroeder, C. E., Poeppel, D., & Golumbic, E. Z. (2017). Neural entrainment to the beat: The “missing-pulse” phenomenon. The Journal of Neuroscience, 37(26), 6331–6341.

-----Noninvasive Cranial Nerve Stimulation for Human Cognitive Performance Enhancement

Berry, S. M., Broglio, K., Bunker, M., Jayewardene, A., Olin, B., & Rush, A. J. (2013). A patient‑level meta‑analysis of studies evaluating vagus nerve stimulation therapy for treatment‑resistant depression. Medical Devices: Evidence and Research, 6, 17–35.

DeGiorgio, C. M., Soss, J., Cook, I. A., Markovic, D., Gornbein, J., Murray, D., … Heck, C. N. (2013). Randomized controlled trial of trigeminal nerve stimulation for drug-resistant epilepsy. Neurology, 80(9), 786–791.

Sara, S. J. (2009). The locus coeruleus and noradrenergic modulation of cognition. Nature Reviews Neuroscience, 10(3), 211–223.

Tyler, W. J., Boasso, A. M., Mortimore, H. M., Silva, R. S., Charlesworth, J. D., Marlin, M. A., … Pal, S. K. (2015). Transdermal neuromodulation of noradrenergic activity suppresses psychophysiological and biochemical stress responses in humans. Scientific Reports, 5, 13865.

-----The Effects of ALAY and High Beta Down-train Neurofeedback for Patients Who Comorbid with Major Depressive Disorder and Anxiety Symptoms

Bruder, G. E., Fong, R., Tenke, C. E., Leite, P., Towey, J. P., Stewart, J. E., ... Quitkin, F. M. (1997). Regional brain asymmetries in major depression with or without an anxiety disorder: A quantitative electroencephalographic study. Biological Psychiatry, 41(9), 939–948.

Grin-Yatsenko, V. A., Baas, I., Ponomarev, V. A., & Kropotov, J. D. (2009). EEG power spectra at early stages of depressive disorders. Journal of Clinical Neurophysiology, 26(6), 401–406.

Mathersul, D., Williams, L. M., Hopkinson, P. J., & Kemp, A. H. (2008). Investigating models of affect: Relationships among EEG alpha asymmetry, depression, and anxiety. Emotion, 8(4), 560–572.

Yamada, M., Kimura, M., Mori, T., & Endo, S. (1995). EEG power and coherence in presenile and senile depression. Characteristic findings related to differences between anxiety type and retardation type. Nihon Ika Daigaku Zasshi = Journal of Nippon Medical School, 62(2), 176–185.

-----Lateralized Readiness Potentials in Children with Autism Spectrum Disorder During Posner Cueing Task: An Event-related EEG Study

Dowell, L. R., Mahone, E. M., & Mostofsky, S. H. (2009). Association of postural knowledge and basic motor skill with dyspraxia in autism: Implication for abnormalities in disturbed connectivity and motor learning. Neuropsychology, 23(5), 563–570.

Eimer, M. (1998). The lateralized readiness potential as an on-line measure of central response activation processes. Behavior Research Methods, Instruments, & Computers, 30(1), 146–156.

Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32(1), 3–25.

Weimer, A. K., Schatz, A. M., Lincoln, A., Ballantyne, A. O., & Trauner, D. A. (2001). “Motor” impairment in Asperger syndrome: Evidence for a deficit in propioception. Journal of Developmental & Behavioral Pediatrics, 22(2), 92–101.

-----The Importance of Morphology and Montaging in EEG

Buzsáki, G. (2006). Rhythms of the brain. New York, NY: Oxford University Press.

Buzsáki, G., & Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science, 304(5679), 1926–1929.

Sporns, O., Tononi, G., & Edelman, G. M. (2000a). Connectivity and complexity: The relationship between neuroanatomy and brain dynamics. Neural Networks, 13(8–9), 909–922.

Sporns, O., Tononi, G., & Edelman, G. M. (2000b). Theoretical neuroanatomy: Relating anatomical and functional connectivity in graphs and cortical connection matrices. Cerebral Cortex, 10(2), 127–141.

Stern, J. M. (2005). Atlas of EEG patterns (2nd ed.). Philadelphia, PA: Lippincott Williams & Wilkins.

-----The Impact of Using Effective Connectivity Measures (Granger Causality) in Guiding Neurofeedback

Coben, R., Middlebrooks, M., Lightstone, H. & Corbell, M. (in press). Four- channel multivariate coherence training: Development and evidence in support of a new form of neurofeedback. Frontiers in Neural Technology.

Coben, R., Mohammad-Rezazadeh, I., & Cannon, R. L. (2014). Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: A theory of mixed over-and under-connectivity. Frontiers in Human Neuroscience, 8, 45.

Friston, K., Moran, R., & Seth, A. K. (2013). Analysing connectivity with Granger causality and dynamic causal modelling. Current Opinion in Neurobiology, 23(2), 172–178.

Kuś, R., Kamiński, M., & Blinowska, K. J. (2004). Determination of EEG activity propagation: Pair-wise versus multichannel estimate. IEEE Transactions on Biomedical Engineering, 51(9), 1501–1510.

-----Trends in Scientific Research Reflect and Predict the Clinical Relevance of (EEG) Biomarkers

Arns, M., Conners, C. K., & Kraemer, H. C. (2013). A decade of EEG theta/beta research in ADHD: A meta-analysis. Journal of Attentional Disorders, 17(5), 374–383.

Pavlenko, V. B., Chernyi, S. V., & Goubkina, D. G. (2009). EEG correlates of anxiety and emotional stability in adult healthy subjects. Neurophysiology, 41(5), 337–345.

Perlis, M. L., Merica, H., Smith, M. T., & Giles, D. E. (2001). Beta EEG activity and insomnia. Sleep Medicine Reviews, 5(5), 363–374.

-----Understanding the Mysterious 40 Hz Brain System for Attention, Learning, and Feeling Good

Cowan, J., & Albers, S. (2017). Manual for the Peak Brain Happiness Trainer. Goshen, KY: Peak Achievement Training.

Cowan, J. D., & Starman, J. D. (2011). Understanding and activating your brain’s pleasure systems. Retrieved from

Knutson, B., Fong, G. W., Bennett, S. M., Adams, C. M., & Hommer, D. (2003). A region of mesial prefrontal cortex tracks monetarily rewarding outcomes: Characterization with rapid event-related fMRI. NeuroImage, 18(2), 263–272.

Llinás, R., Ribary, U., Contreras, D., & Pedroarena, C. (1998). The neuronal basis for consciousness. Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 353(1377), 1841–1849.

Rubik, B. (2011). Neurofeedback-enhanced gamma brainwaves from the prefrontal cortical region of meditators and non-meditators and associated subjective experiences. Journal of Alternative and Complementary Medicine, 17(2), 109–115.

Sokhadze, E. (2012). Peak performance training 7sing prefrontal EEG biofeedback. Biofeedback, 40(1), 7–15. /10.5298/1081-5937-39.3.4

Sokhadze, E., & Daniels, R. (2016). Effects of prefrontal 40 Hz-centered EEG band neurofeedback on emotional state and cognitive functions in adolescents. Adolescent Psychiatry, 6(4), 116-129.

Sokhadze, E., Stewart, C., El-Baz, A., Ramaswamy, R., Hollifield, M., & Tasman, A. (2009). Induced EEG gamma oscillations in response to drug- and stress-related cues in cocaine addicts and patients with dual diagnosis. Journal of Neurotherapy, 13(4), 270–271.

Wang, Y., Sokhadze, E. M., El-Baz, A. S., Li, X., Sears, L., Casanova, M. F., & Tasman, A. (2016). Relative power of specific EEG bands and their ratios during neurofeedback training in children with autism spectrum disorder. Frontiers in Human Neuroscience, 9, 723.

-----Gender Differences in Quantitative EEG Volumetric Analysis Shortly After Sport Concussion Injury in High School Athletes

Cantu, R. C. (2010). The role of concussion history and gender in recovery from soccer-related concussion. Yearbook of Sports Medicine, 2010, 29–30.

Hamson-Utley, J. J., Schulte, S., Fowler, L., Glodowski, C., Scharmann, S., Podlog, L., … Ashley, A. (2013, July). Concussion-related neuroproteins: A comparison of gender differences in extreme sports. Poster presented at the 122nd Annual Conference of the American Psychological Association, Honolulu, HI.

Ims, P. D., & Kerasidis, H. (2018, April). Re-training the injured brain: A case series in sLORETA neurofeedback as an acute concussion intervention in youth. Poster session presented at the 49th Annual Association for Applied Psychophysiology and Biofeedback Conference, Orlando, FL.

Kerasidis, H., & Ims, P. D. (2017, July). sLORETA quantitative EEG analysis demonstrates persistent EEG changes beyond clinical recovery from sport concussion in high school athletes: A volumetric study. Poster session presented at 4th Annual American Academy of Neurology Sports Concussion Conference, Jacksonville, FL.

Miyashita, T. L., Diakogeorgiou, E., & VanderVegt, C. (2016). Gender differences in concussion reporting among high school athletes. Sports Health, 8(4), 359–363.

Mollayeva, T., El-Khechen-Richandi, G., & Colantonio, A. (2018). Sex & gender considerations in concussion research. Concussion, 3(1).

Tanveer, S., Zecavati, N., Delasobera, E. B., & Oyegbile, T. O. (2017). Gender differences in concussion and postinjury cognitive rindings in an older and younger pediatric population. Pediatric Neurology, 70, 44–49. /10.1016/j.pediatrneurol.2017.02.001

-----Social, Spiritual, Psychological, and Physiological Predictors of Well-being of Military Veterans: A Pilot Study of a Viable, Holistic, and Predictive Model of Well-being

Avey, J. B. (2014). The left side of psychological capital: New evidence on the antecedents of PsyCap. Journal of Leadership & Organizational Studies, 21(2), 141–149.

Del Brutto, O. H., Mera, R. M., Del Brutto, V. J., Maestre, G. E., Gardener, H., Zambrano, M., & Wright, C. B. (2015). Influence of depression, anxiety and stress on cognitive performance in community-dwelling older adults living in rural Ecuador: Results of the Atahualpa Project. Geriatrics & Gerontology International, 15(4), 508–514.

Faraji, M., & Begzadeh, S. (2017). The relationship between organizational commitment and spiritual intelligence with job performance in physical education staff in east Azerbaijan province. International Journal of Management, Accounting & Economics, 4(5), 565–577.

Fatisson, J., Oswald, V., & Lalonde, F. (2016). Influence diagram of physiological and environmental factors affecting heart rate variability: An extended literature overview. Heart International, 11(1), e32–e40.

Howell, R. T., Kern, M. L., & Lyubomirsky, S. (2007). Health benefits: Meta-analytically determining the impact of well-being on objective health outcomes. Health Psychology Review, 1(1), 83–136.

Kent, P., Hawthorne, G., Kjaer, P., Manniche, C., & Albert, H. (2015). A Danish version of the Friendship Scale: Translation and validation of a brief measure of social isolation. Social Indicators Research, 120(1), 181–195.

King, D. B., & DeCicco, T. L. (2009). A viable model and self-report measure of spiritual intelligence. The International Journal of Transpersonal Studies, 28(1), 68–85.

Lathan, C., Spira, J. L., Bleiberg, J., Vice, J., & Tsao, J. W. (2013). Defense Automated Neurobehavioral Assessment (DANA)—Psychometric properties of a new field-deployable neurocognitive assessment tool. Military Medicine, 178(4), 365–371.

Lorenz, T., Beer, C., Pütz, J., & Heinitz, K. (2016). Measuring psychological capital: Construction and validation of the Compound PsyCap Scale (CPC-12). PloS ONE, 11(4), 1–17.

Luthans, F., Youssef, C. M., Sweetman, D. S., & Harms, P. D. (2013). Meeting the Leadership Challenge of Employee Well-Being Through Relationship PsyCap and Health PsyCap. Journal of Leadership & Organizational Studies, 20(1), 118–133.

Thatcher, R. W., North, D. M., Biver, C. J. & Zhou, L. (2017). Brain Function Index. Retrieved from

-----Altered States NeuroMeditation: Current Approaches, Preliminary Findings, and Future Applications

Carhart-Harris, R. L., Erritzoe, D., Williams, T., Stone, J. M., Reed, L. J., Colasanti, A., … Nutt, D. J., (2012). Neural correlates of the psychedelic state as determined by fMRI studies with psilocybin. Proceedings of the National Academy of Sciences (PNAS), 109(6), 2138–2143.

Crane, R. (2007). Infinite potential: A neurofeedback pioneer looks back and ahead. In T. H. M. Press (Ed.), Handbook of neurofeedback: Dynamics and clinical applications: Haworth series in neurotherapy (pp. 3–21). Binghamton, NY: CYC Press.

Tarrant, J. (2017). Neuromeditation: An introduction and overview. In T. F. Collura & J. A. Frederick (Eds.), Clinician’s companion to QEEG and neurofeedback (annotated and with an introduction by J. Kiffer). New York, NY: Taylor & Francis.

Trudeau, D. L. (2016). Experiences with alpha theta: Its origins in studies of meditation. In A. Martins-Mourao, & C. Kerson (Eds.), Alpha-theta training in the 21st century: A handbook for clinicians and researchers (pp. 36-64). Murfreesboro, TN: Foundation for Neurofeedback and Neuromodulation Research (FNNR).

-----Cognitive and Psychophysiological Test Operations as Assessment Tool for Neurofeedback Clinicians: A Pilot Study on Its Preliminary Normative Data and Validity

Brauer-Boone, K., Pontón, M. O., Gorsuch, R. L., González, J. J., & Miller, B. L. (1998). Factor analysis of tour measures of prefrontal lobe functioning. Archives of Clinical Neuropsychology, 13, 585–595.

De la Torre, G. G. (2002). El modelo funcional de atención en neuropsicología. Revista de Psicología General y Aplicada, 55(1), 113–121.

Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I., & Posner, M. I. (2005). The activation of attentional networks. NeuroImage, 26(2), 471–479.

Fan, J., McCandliss, B. D., Sommer, T., Raz, M., & Posner, M. I. (2002). Testing the efficiency and independence of attentional networks. Journal of Cognitive Neuroscience, 14(3), 340–347.

Pineda, D. A., Merchán, V., Rosselli, M., & Ardila, A. (2000). Estructura factorial de la función ejecutiva en estudiantes universitarios jóvenes = Factor structure of the executive function in young university students. Revista de Neurología, 31(12), 1112–1118.

Posner, M. I., & Dehaene, S. (1994). Attentional networks. Trends in Neurosciences, 17(2), 75–79.

Spikman, J., Kiers, H. A. L., Deelman, B. G., & van Zomeren, A. H. (2001). Construct validity of concepts of attention in healthy controls and patients with CHI. Brain and Cognition, 47(3), 446–460.

-----Training Blood Flow: nHEG Utilization for Specific qEEG Phenotypes in ASD

Chabot, R. J., Coben, R., Hirshberg, L. & Cantor, D. S. (2015). QEEG and VARETA based Neurophysiological Indices of Brain Dysfunction in Attention Deficit and Autistic Spectrum Disorder. Austin Journal of Autism & Related Disabilities, 1(2), 1007.

Dias, A. M., Van Deusen, A. M., Oda, E., & Bonfim, M. R. (2012) Clinical efficacy of a new automated hemoencephalographic neurofeedback protocol. Spanish Journal of Psychology, 15(3), 930–941.

Edelson, S. B., & Cantor, D. S. (1998). Autism: Xenobiotic influence. Toxicology and Industrial Health, 14(6), 799–811.

Kouijzer, M. E. J., van Schie, H. T., Gerrits, B. J. L., Buitelaar, J. K., & de Moor, J. M. H. (2013). Is EEG-biofeedback an Effective Treatment in Autism

Spectrum Disorders? A Randomized Controlled Trial. Applied Psychophysiology and Biofeedback, 38(1), 17–28.

Wilcox, J., Tsuang, M. T., Ledger, E., Algeo, J., & Schnurr, T. (2002). Brain perfusion in autism varies with age. Neuropsychobiology. 46, 13–16.

-----Applied Innovation in Clinical Practice — Let's Go Beyond Neurofeedback

Busscher, B., Spinhoven, P., van Gerwen, L. J., & de Geus, E. J. C. (2013). Anxiety sensitivity moderates the relationship of changes in physiological arousal with flight anxiety during in vivo exposure therapy. Behaviour Research and Therapy, 51(2), 98–105.

Ehrlich, I., Humeau, Y., Grenier, F., Ciocchi, S., Herry, C., & Lüthi, A. (2009). Amygdala inhibitory circuits and the control of fear memory. Neuron, 62(6), 757–771.

Feusner, J. D., Madsen, S., Moody, T. D., Bohon, C., Hembacher, E., Bookheimer, S. Y., & Bystritsky, A. (2012). Effects of cranial electrotherapy stimulation on resting state brain activity. Brain and Behavior, 2(3), 211–220.

Harper, M. L., Rasolkhani-Kalhorn, T., & Drozd, J. F. (2009). On the neural basis of EMDR therapy: Insights from qEEG studies. Traumatology, 15(2), 81–95.

Lande, R. G., & Gragnani, C. (2013). Efficacy of cranial electric stimulation for the treatment of insomnia: A randomized pilot study. Complementary Therapies in Medicine, 21(1), 8–13.

Pavlenko, V. B., Chernyi, S. V., & Goubkina, D. G. (2009). EEG correlates of anxiety and emotional stability in adult healthy subjects. Neurophysiology, 41(5), 337–345.

Serin, A., Hageman, N. S., & Kade, E. (2018). The therapeutic effect of bilateral alternating stimulation tactile form technology on the stress response. Journal of Biotechnology and Biomedical Science, 1(2), 42–47. /10.14302/issn.2576-6694.jbbs-18-1887

-----Multivariate Coherence Training for Developmental Trauma

Armes, C. A., & Coben, R. (2017, September). Impact of developmental trauma on brain function and connectivity. Presented at the International Society of Neurofeedback and Research 25th Annual Conference, Foxwoods, CT.

Cook, A., Spinazzola, J., Ford, J., Lanktree, C., Blaustein, M., Cloitre, M., … van der Kolk, B. (2005). Complex trauma in children and adolescents. Psychiatric Annals, 35(5), 390–398.

Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A. M., Edwards, V., ... Marks, J. S. (1998). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. American Journal of Preventive Medicine, 14(4), 245–258.

Huang-Storms, L., Bodenhamer-Davis, E., Davis, R., & Dunn, J. (2006). QEEG-guided neurofeedback for children with histories of abuse and neglect: Neurodevelopmental rationale and pilot study. Journal of Neurotherapy, 10(4), 3–16.

Teicher, M. H., Andersen, S. L., Polcari, A., Anderson, C. M., Navalta, C. P., & Kim, D. M. (2003). The neurobiological consequences of early stress and childhood maltreatment. Neuroscience & Biobehavioral Reviews, 27(1), 33–44.

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), e0166752.

-----The Effect of Infraslow Frequency Neurofeedback on Quantitative Electroencephalogram and Autonomic Nervous System Function in Adults with Anxiety and Related Diseases

Bazhenov, M., & Timofeev, I. (2006). Thalamocortical oscilations. Scholarpedia, 1(6), 1319.

Camp, R. M., Remus, J. L., Kalburgi, S. N., Porterfield, V. M., & Johnson, J. D. (2012). Fear conditioning can contribute to behavioral changes observed in a repeated stress model. Behavioural Brain Research, 233(2), 536–544.

Collura, T. F. (2014). Technical foundations of neurofeedback. New York, NY: Routlege/Taylor & Francis.

Goldstein, D. S., Bentho, O., Park, M. Y., & Sharabi, Y. (2011). Low-frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Experimental Physiology, 96(12), 1255–1261.

Hallman, D., & Lyskov, E. (2012). Autonomic regulation in musculoskeletal pain. Retrieved on July 15, 2017, from Intech Open Science:

Lőrincz, M., Geall, F., Bao, Y., Crunelli, V., & Hughes, S. W. (2009). ATP-dependent infra-slow (< 0.1 Hz) oscillations in thalamic networks. PLoS One, 4(2), e4447.

Peper E, Harvey, R., Lin, I., Tylova, H., & Moss, D. (2007). Is there more to blood volume pulse than heart rate variability, respiratory sinus arrhythmia, and cardiorespiratory synchrony? Biofeedback, 35(2), 54–61.

Smith, M. L., Collura, T. F., Ferrera, J., & de Vries, J. (2014). Infra-slow fluctuation training in clinical practice: A technical history. NeuroRegulation, 1(2), 187–207.

-----The Human Compassion Circuit

Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., … Ochsner, K. N. (2014). Cognitive reappraisal of emotion: A meta-analysis of human neuroimaging studies. Cerebral Cortex, 24(11), 2981–2990.

de Waal, F. (2009). The age of empathy. New York, NY: Three Rivers Press.

Fehse, K., Silveira, S., Elvers, K., & Blautzik, J. (2015). Compassion, guilt and innocence: An fMRI study of responses to victims who are responsible for their fate. Social Neuroscience, 10(3), 243–252.

Gallese, V., Keysers, C., & Rizzolatti, G. (2004). A unifying view of the basis of social cognition. Trends in Cognitive Sciences, 8(9), 396–403.

Goetz, J. L., Keltner, D., & Simon-Thomas, E. (2010). Compassion: An evolutionary analysis and empirical review. Psychological Bulletin, 136(3), 351–374.

Kédia, G., Berthoz, S., Wessa, M., Hilton, D., & Martinot, J.-L. (2008). An agent harms a victim: A functional magnetic resonance imaging study on specific moral emotions. Journal of Cognitive Neuroscience, 20(10), 1788–1798.

Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012). The brain basis of emotion: A meta-analytic review. Behavioral and Brain Sciences, 35(3), 121–143.

Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., & Davidson, R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proceedings of the National Academy of Sciences, 101(46), 16369–16373.

Ochsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S. Gabrieli, J. D. E, & Gross, J. J. (2004). For better or for worse: Neural systems supporting the cognitive down- and up-regulation of negative emotion. NeuroImage, 23(2), 483–499.

Ochsner, K. N., Ray, R. R., Hughes, B., McRae, K., Cooper, J. C., Weber, J., … Gross, J. J. (2009). Bottom-up and top-down processes in emotion generation: Common and distinct neural mechanisms. Psychological Science, 20(11), 1322–1331.

Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002). Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI. NeuroImage, 16(2), 331–348.

Porges, S. W. (2003). The Polyvagal Theory: Phylogenetic contributions to social behavior. Physiology and Behavior, 79, 503–513.

Premack, D., & Woodruff, G. (1978). Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1(4), 515–526.

Singer, T. (2006). The neuronal basis and ontogeny of empathy and mind reading: Review of literature and implications for future research. Neuroscience and Behavioral Reviews, 30(6), 855–863.

Singer, T., Critchley, H. D., & Preuschoff, K. (2009). A common role of insula in feelings, empathy and uncertainty. Trends in Cognitive Sciences, 13(8), 334–340.

-----Neurofeedback: An Effective Treatment for Symptoms of Posttraumatic Stress Disorder in Veterans

McReynolds, C. J., Bell, J., & Lincourt, T. M. (2017). Neurofeedback: A noninvasive treatment for symptoms of posttraumatic stress disorder in veterans. NeuroRegulation, 4(3–4), 114–124.

-----The Frontal Alpha Asymmetry and Neurofeedback in Patients with Major Depressive Disorder

Baehr, E., Rosenfeld, J. P., & Baehr, R. (2001). Clinical use of an alpha asymmetry neurofeedback protocol in the treatment of mood disorders: Follow-up study one to five years post therapy. Journal of Neurotherapy, 4(4), 11–18.

Cheon, E.-J., Koo, B.-H., & Choi, J.-H. (2016). The efficacy of neurofeedback in patients with major depressive disorder: An open labeled prospective study. Applied Psychophysiology and Biofeedback, 41(1), 103–110.

Choi, S. W., Chi, S. E., Chung, S. Y., Kim, J. W., Ahn, C. Y., & Kim, H. T. (2011). Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study. Neuropsychobiology, 63(1), 43–51.

Davidson, R. J. (1998). Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums. Psychophysiology, 35(5), 607–614.

Wang, S.-Y., Lin, I.-M., Peper, E., Chen, Y.-T., Tang, T.-C., Yeh, Y.-C., ... Chu, C.-C. (2016). The efficacy of neurofeedback among patients with major depressive disorder: Preliminary study. NeuroRegulation, 3(3), 127–134. /10.15540/nr.3.3.127

-----A Real-time fMRI Neurofeedback for Mild to Severe Depression Compared to Frontal Alpha-asymmetry Neurofeedback and Cognitive–Behavioral Therapy

Hamilton, J. P., Glover, G. H., Bagarinao, E., Chang, C., Mackey, S., Sacchet, M. D., & Gotlib, I. H. (2016). Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder. Psychiatry Research, 249, 91–96.

Johnston, S., Linden, D. E. J., Healy, D., Goebel, R., Habes, I., & Boehm, S. G. (2011). Upregulation of emotion areas through neurofeedback with a focus on positive mood. Cognitive Affective, & Behavioral Neuroscience, 11(1), 44–51.

Linden, D. E. J., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., … Goebel, R. (2012). Real-time self-regulation of emotion networks in patients with depression. PLoS One, 7(6), 38115.

Young, K. D., Siegle, G. J., Zotev, V., Phillips, R., Misaki, M., Yuan, H., … Bodurka, J. (2017). Randomized clinical trial of real-time fMRI amygdala neurofeedback for major depressive disorder: Effects on symptoms and autobiographical memory recall. The American Journal of Psychiatry, 174(8), 748–755.

-----Preliminary Evidence for Stress-Reducing Effects of Bilateral Alternating Stimulation Tactile (BLAST) Following Significant Quantitative Electroencephalography (qEEG) Reduction in Beta Wave Activity

Busscher, B., Spinhoven, P., van Gerwen, L. J., & de Geus, E. J. C. (2013). Anxiety sensitivity moderates the relationship of changes in physiological arousal with flight anxiety during in vivo exposure therapy. Behaviour Research and Therapy, 51(2), 98–105.

Ehrlich, I., Humeau, Y., Grenier, F., Ciocchi, S., Herry, C., & Lüthi, A. (2009). Amygdala inhibitory circuits and the control of fear memory. Neuron, 62(6), 757¬–771.

Harper, M. L., Rasolkhani-Kalhorn, T., & Drozd, J. F. (2009). On the neural basis of EMDR therapy: Insights from qEEG studies. Traumatology, 15(2), 81–95.

Pavlenko, V. B., Chernyi, S. V., & Goubkina, D. G. (2009). EEG correlates of anxiety and emotional stability in adult healthy subjects. Neurophysiology, 41(5), 337–345.

Serin, A., Hageman, N. S., & Kade, E. (2018). The therapeutic effect of bilateral alternating stimulation tactile form technology on the stress response. Journal of Biotechnology and Biomedical Science, 1(2), 42¬–47.

-----Event-related Potential Study of Illusory Figure Processing Deficits in Children with Autism Spectrum Disorder

Baruth, J. M., Casanova, M., Sears, L., & Sokhadze, E. (2010). Early-stage visual processing abnormalities in high-functioning autism spectrum disorder (ASD). Translational Neuroscience, 1(2), 177–187.

Bomba, M. D., & Pang, E. W. (2004). Cortical auditory evoked potentials in autism: A review. International Journal of Psychophysiology, 53(3), 161–169.

Cui, T., Wang, P. P., Liu, S., & Zhang, X. (2017). P300 amplitude and latency in autism spectrum disorder: A meta-analysis. European Child & Adolescent Psychiatry, 26(2),177–190.

Kanizsa, G. (1976). Subjective contours. Scientific American, 234(4), 48–52.

Kemner, C., van der Gaag, R. J., Verbaten, M., & van Engeland, H. (1999). ERP differences among subtypes of pervasive developmental disorders. Biological Psychiatry, 46(6), 781–789.

Sokhadze, E., Baruth, J., El-Baz, A., Horrell, T., Sokhadze, G., Carroll, T., … Casanova, M. F. (2010). Impaired error monitoring and correction function in autism. Journal of Neurotherapy, 14(2), 79–95.

Sokhadze, E. M., Baruth, J. M., Sears, L., Sokhadze, G. E., El-Baz, A. S., Williams, E. L., … Casanova, M. F. (2012). Event-related potential study of attention regulation during illusory figure categorization task in ADHD, autism spectrum disorder, and typical children. Journal of Neurotherapy, 16(1), 12–31.

Sokhadze, E., Baruth, J., Tasman, A., Sears, L., Mathai, G., El-Baz, A. & Casanova, M. F. (2009). Event-related potential study of novelty processing abnormalities in autism. Applied Psychophysiology and Biofeedback, 34(1), 37–51.

Townsend, J., Westerfield, M., Leaver, E., Makeig, S., Jung, T.-P., Pierce, K., & Courchesne, E. (2001). Event-related brain response abnormalities in autism: Evidence for impaired cerebello-frontal spatial attention networks. Cognitive Brain Research, 11(1), 127–145.

-----Effects rTMS-based Neuromodulation Dosage on Event-related Potentials and Evoked and Induced Gamma Oscillations in Children with Autism Spectrum Disorder

Casanova, M. F., Buxhoeveden, D., & Gomez, J. (2003). Disruption in the inhibitory architecture of the cell minicolumn: Implications for autism. The Neuroscientist, 9(6), 496–507.

Rubenstein, J. L. R., & Merzenich, M. M. (2003). Model of autism: Increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior, 2(5), 255–267.

Sokhadze, E., Baruth, J., Tasman, A., Mansoor, M., Ramaswamy, R., Sears, L., … Casanova, M. F. (2010). Low-frequency repetitive transcranial magnetic stimulation (rTMS) affects event-related potential measures of novelty processing in autism. Applied Psychophysiology and Biofeedback, 35(2), 147–161.

Sokhadze, E. M., El-Baz, A., Baruth, J., Mathai, G., Sears, L., & Casanova, M. F. (2009). Effects of low-frequency repetitive transcranial magnetic stimulation (rTMS) on gamma frequency oscillations and event-related potentials during processing of illusory figures in autism. Journal of Autism and Developmental Disorders, 39(4), 619–634.

Sokhadze, E. M., El-Baz, A. S., Tasman, A., Sears, L. L., Wang, Y., Lamina, E. V., & Casanova, M. F. (2014). Neuromodulation integrating rTMS and neurofeedback for the treatment of autism spectrum disorder: An exploratory study. Applied Psychophysiology and Biofeedback, 39(3–4), 237–257.

Uzunova, G., Pallanti, S., & Hollander, E. (2016). Excitatory/inhibitory imbalance in autism spectrum disorders: Implications for interventions and therapeutics. The World Journal Biological Psychiatry, 17(3), 174–186.

-----Using Neurofeedback to Lower Anxiety Symptoms: A Follow-up Study

Dreis, S. M., Gouger, A. M., Perez, E. G., Russo, G. M., Fitzsimmons, M. A., & Jones, M. S. (2015). Using neurofeedback to lower anxiety symptoms using individualized qEEG protocols: A pilot study. NeuroRegulation, 2(3), 137–148.

Lu, Y., Wang, C., Su, L., Ma, Z., Li, S., & Fan, Y. (2017). Effects of neurofeedback on panic disorder patients’ anxiety. NeuroQuantology, 15(3).

Mennella, R., Patron, E., & Palomba, D. (2017). Frontal alpha asymmetry neurofeedback for the reduction of negative affect and anxiety. Behaviour Research and Therapy, 92, 32–40.