Proceedings of the 2019 ISNR Annual Conference
DOI:
https://doi.org/10.15540/nr.6.4.197Keywords:
Neurofeedback, QEEG, neuromodulation, neurotherapy, ISNRAbstract
Selected Abstracts of Conference Presentations at the 2019 International Society for Neurofeedback and Research (ISNR) 27th Conference, Denver, Colorado, USA
References
---Understanding (and Improving) Neurofeedback Efficacy: A Multidisciplinary Endeavor
Davelaar, E. J. (2017). Testing the specificity of EEG neurofeedback training on first- and second-order measures of attention. In D. Schmorrow & C. Fidopiastis (Eds.), AC 2017: Augmented Cognition. Neurocognition and Machine Learning. Lecture Notes in Computer Science (Vol. 10284, pp. 19–27). Switzerland: Springer. https://doi.org/10.1007/978-3-319-58628-1_2
Davelaar, E. J. (2018). Mechanisms of neurofeedback: A computation-theoretic approach. Neuroscience, 378, 175–188. https://doi.org/10.1016/j.neuroscience.2017.05.052
Davelaar, E. J., Barnby, J. M., Almasi, S., & Eatough, V. (2018). Differential subjective experiences in learners and non-learners in frontal alpha neurofeedback: piloting a mixed-method approach. Frontiers in Human Neuroscience, 12, 402. https://doi.org/10.3389/fnhum.2018.00402
---Epilepsy and the Foundation of NF
Boutros, N. (2009). Epileptiform discharges in psychiatric patients: A controversy in need of resurrection. Clinical EEG and Neuroscience, 40(4), 239–244. https://doi.org/10.1177/155005940904000406
Boutros, N. N., Kirollos, S. B., Pogarell, O., & Gallinat, J. (2014). Predictive value of isolated epileptiform discharges for a favorable therapeutic response to antiepileptic drugs in nonepileptic psychiatric patients. Journal of Clinical Neurophysiology, 31(1), 21–30. https://doi.org/10.1097/WNP.0000000000000023
Millichap, J. G., Millichap, J. J., & Stack, C. V. (2011). Utility of the electroencephalogram in attention deficit hyperactivity disorder. Clinical EEG and Neuroscience, 42(3), 180–184. https://doi.org/10.1177/155005941104200307
Swatzyna, R. J., Tarnow, J. D., Proler, M. L., Roark, A. J., MacInerney, E. K., & Kozlowski, G. P. (2017). Retrospective analysis of nonepileptic patients with isolated epileptiform discharges treated with anticonvulsants. Clinical EEG and Neuroscience, 48(5), 322–326. https://doi.org/10.1177/1550059417695896
Swatzyna, R. J., Tarnow, J. D., Turner, R. P., Roark, A. J., MacInerney, E. K., & Kozlowski, G. P. (2017). Integration of EEG into psychiatric practice: A step toward precision medicine for autism spectrum disorder. Journal of Clinical Neurophysiology, 34(3), 230–235. https://doi.org/10.1097/WNP.0000000000000365
---Critical Brain Dynamics: A Novel Framework for Assessing and Regulating Brain Dynamics
Arviv, O., Medvedovsky, M., Sheintuch, L., Goldstein, A., & Shriki, O. (2016). Deviations from critical dynamics in interictal epileptiform activity. The Journal of Neuroscience, 36(48), 12276–12292. https://doi.org/10.1523/JNEUROSCI.0809-16.2016
Fekete, T., Omer, D. B., O’Hashi, K., Grinvald, A., van Leeuwen, C., & Shriki O. (2018). Critical dynamics, anesthesia and information integration: Lessons from multi-scale criticality analysis of voltage imaging data. NeuroImage, 183, 919–933. https://doi.org/10.1016/j.neuroimage.2018.08.026
Shriki, O., Alstott, J., Carver, F., Holroyd, T., Henson, R. N. A., Smith, M. L., … Plenz D. (2013). Neuronal avalanches in the resting MEG of the human brain, The Journal of Neuroscience, 33(16), 7079–7090. https://doi.org/10.1523/JNEUROSCI.4286-12.2013
---Preventing Murder: Treating Violent Behavior with NFB + BFB
Beauregard, M. & Lévesque, J. (2006). Functional magnetic resonance imaging investigation of the effects of neurofeedback training on the neural bases of selective attention and response inhibition in children with attention-deficit/hyperactivity disorder. Applied Psychophysiology and Biofeedback, 31(1), 3–20. https://doi.org/10.1007/s10484-006-9001-y
Ghaziri, J., Tucholka, A., Larue, V., Blanchette-Sylvestre, M., Reyburn, G., Gilbert, G., Lévesque, J. & M. Beauregard. (2013). Neurofeedback training induces changes in white and gray matter. Clinical EEG and Neuroscience, 44(4), 265–272. https://doi.org/10.1177/1550059413476031
Nelson, R. J. & Trainor, B. C. (2007). Neural mechanisms of aggression. Nature Reviews Neuroscience, 8, 536–546. https://doi.org/10.1038/nrn2174
Oded, Y. (2018). Integrating mindfulness and biofeedback in the treatment of posttraumatic stress disorder. Biofeedback, 46(2), 37–47.
Quirk, D. A. (1995). Composite biofeedback donditioning and dangerous offenders: III. Journal of Neurotherapy, 1(2), 44–54. https://doi.org/10.1080/10874208.2012.10491665
Repple, J., Pawliczek, C. M., Voss, B., Siegel, S., Schneider, F. Kohn, N., & Habel, U. (2017). From provocation to aggression: The neural network. BMC Neuroscience, 18(1), 73. https://doi.org/10.1186/s12868-017-0390-z
Reynolds, R. & Quirk, D. (2018). A simple and effective cure for criminality. Toronto, Canada: Ex Libris.
Sterman, M. B. (2000). Basic concepts and clinical findings in the treatment of seizure disorders with EEG operant conditioning. Clinical EEG and Neuroscience, 31(1), 45–55. https://doi.org/10.1177/155005940003100111
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2013). Brain structures associated with executive functions during everyday events in a non-clinical sample. Brain Structure and Function, 218(4), 1017–1032. https://doi.org/10.1007/s00429-012-0444-z
Thompson, M., & Thompson, L. (2015). Functional neuroanatomy: Organized with reference to networks, lobes of the brain, 10-20 sites, and Brodmann areas. Wheat Ridge, CO: Association for Applied Psychophysiology.
---Infraslow Neurofeedback for Military Trauma
Aladjalova, N. A. (1957). Infra-slow rhythmic oscillations of the steady potential of the cerebral cortex. Nature, 179(4567), 957–959. https://doi.org/10.1038/179957a0
Aladjalova, N. A. (1964). Slow electrical processes in the brain (Vol. 7, 1st ed.). Amsterdam: Elsevier Science.
Daniels, J. K., Frewen, P., McKinnon, M. C., & Lanius, R. A. (2011). Default mode alterations in posttraumatic stress disorder related to early-life trauma: A developmental perspective. Journal of Psychiatry & Neuroscience, 36(1), 56–59. https://doi.org/10.1503/jpn.100050
DiCara, L. (Ed.). (1974). Limbic and autonomic nervous systems research. New York, NY: Plenum Press.
Lecci, S., Fernandez, L. M. J., Weber, F. D., Cardis, R., Chatton, J.-Y., Born, J., & Lüthi, A. (2017). Coordinated infraslow neural and cardiac oscillations mark fragility and offline periods in mammalian sleep. Science Advances, 3(2), e1602026. https://doi.org/10.1126/sciadv.1602026
LeDoux, J. E., & Pine, D. S. (2017). Using neuroscience to help understand fear and anxiety: A two-system framework. The American Journal of Psychiatry, 173(11), 1083–1093. https://doi.org/10.1176/appi.ajp.2016.16030353
Palva, J. M., & Palva, S. (2012). Infra-slow fluctuations in electrophysiological recordings, bloodoxygenation-level-dependent signals, and psychophysical time series. NeuroImage, 62(4), 2201–2211. https://doi.org/10.1016/j.neuroimage.2012.02.060
Sherin, J. E., & Nemeroff, C. B. (2011). Post-traumatic stress disorder: The neurobiological impact of psychological trauma. Dialogues in Clinical Neuroscience, 13(3), 263–278.
Sinha, R. (2008). Chronic stress, drug use, and vulnerability to addiction. Annals of the New York Academy of Sciences, 1141(1), 105¬–130. https://doi.org/10.1196/annals.1441.030
Smith, M. L. (2013). Infra-slow fluctuation training; On the down-low in neuromodulation. NeuroConnections, Fall 2013, 38–46.
Smith, M. L., Collura, T. F., Ferrara, J., & de Vries, J. (2014). Infra-slow fluctuation training in clinical practice: A technical history. NeuroRegulation, 1(2), 187–207. https://doi.org/10.15540/nr.1.2.187
Van der Kolk, B. A. (2006). Clinical implications of neuroscience research in PTSD. Annals of the New York Academy of Sciences, 1071(1), 277–293. https://doi.org/10.1196/annals.1364.022
Van der Kolk, B. A. (2014). The body keeps the score: Brain, mind, and body in the health of trauma. New York, NY: Penguin Books.
Vanhatalo, S., Palva, J. M., Holmes, M. D., Miller, J. W., Voipio, J., & Kaila, K. (2004). Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proceedings of the National Academy of Sciences of the United States of America, 101(14), 5053–5057. https://doi.org/10.1073/pnas.0305375101
---Neural Oscillations Induced with Photobiomodulation Could Improve Neurofeedback Outcomes
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
Heinrich, M. D., Sanguinetti, J. L., Hicks, G., Gibsona, B. C., Mullins, T. S., Aragon, D. F., … Clark, V. P. (2019, February). Photobiomodulation for cognitive enhancement in healthy adults. Poster presented at the Brain Stimulation Conference 2019, Vancouver, BC, Canada.
Lim, L. (2018). The growing evidence for photobiomodulation as a promising treatment for Alzheimer’s disease. Journal of Biosciences and Medicine, 6(12), 100–110. https://doi.org/10.4236/jbm.2018.612010
Salehpour, F., Mahmoudi, J., Kamari, F., Sadigh-Eteghad, S., Rasta, S. H., & Hamblin, M. R. (2018). Brain photobiomodulation Therapy: A narrative review. Molecular Neurobiology, 55(8), 6601–6636. https://doi.org/10.1007/s12035-017-0852-4
Saltmarche, A. E., Naeser, M. A., Ho, K. F., Hamblin, M. R., & Lim, L. (2017). Significant Improvement in Cognition in Mild to Moderately Severe Dementia Cases Treated with Transcranial Plus Intranasal Photobiomodulation: Case Series Report. Photomed Laser Surg. 35(8): 432–441. https://doi.org/10.1089/pho.2016.4227
Zomorrodi, R., Saltmarche, A. E., Loheswaran, G., Ho, K. F., & Lim, L. (2017, July). Complementary EEG evidence for a significantly improved Alzheimer’s disease case after photobiomodulation treatment. Poster presented at the Alzheimer’s Association International Conference 2017, London, England.
Zomorrodi, R., Loheswaran, G., Pushparaj, A., & Lim L. (2019). Pulsed near infrared transcranial and intranasal photobiomodulation significantly modulates neural oscillations: A pilot exploratory study. Scientific Reports, 9, 6309. https://doi.org/10.1038/s41598-019-42693-x
---The Feasibility and Validity of Cerebellar EEG Biofeedback
Cebolla, A. M., Petieau, M., Dan, B., Balazs, L., McIntyre, J., & Cheron, G. (2016). Cerebellar contribution to visuo-attentional alpha rhythm: Insights from weightlessness. Scientific Reports, 6, 37824. https://doi.org/10.1038/srep37824
Cebolla, A.-M., Palmero-Soler, E., Leroy, A. & Cheron, G. (2017). EEG spectral generators involved in motor imagery: A swLORETA study. Frontiers in Psychology, 8, 2133. https://doi.org/10.3389/fpsyg.2017.02133
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994). Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. Journal of Computer Assisted Tomography, 18(2), 192–205. https://doi.org/10.1097/00004728-199403000-00005
Mazziotta, J. C., Toga, A. W., Evans, A., Fox, P., & Lancaster, J. (1995). A probabilistic atlas of the human brain: Theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). NeuroImage, 2(2, Part A), 89–101. https://doi.org/10.1006/nimg.1995.1012
Palmero Soler, E., Dolan, K., Hadamschek, V., & Tass, P.A. (2007). swLORETA: A novel approach to robust source localization and synchronization tomography. Physics in Medicine & Biology, 52(7), 1783–1800. https://doi.org/10.1088/0031-9155/52/7/002
Schmahmann, J. D., Doyon, J., McDonald, D., Holmes, C., Lavoie, K., Hurwitz, A. S., … Petrides, M. (1999). Three-dimensional MRI atlas of the human cerebellum in proportional stereotaxic space. NeuroImage, 10(3), 233–260. https://doi.org/10.1006/nimg.1999.0459
---Peak Performance in Sports: Factors that Impair Performance and Means of Improving It
Broadhurst, P. L. (1959). The interaction of task difficulty and motivation: The Yerkes-Dodson law revived. Acta Psychologica, 16, 321–338. https://doi.org/10.1016/0001-6918(59)90105-2
Hutchison, M. (1993, July). Mind Over Matter = Muscle. Muscle & Fitness, July, 1–5.
Siever, D., & Collura, T. (2017). Chapter 3 – Audio–visual entrainment: Physiological mechanisms and clinical outcomes. Rhythmic Stimulation Procedures in Neuromodulation, 51–95. https://doi.org/10.1016/B978-0-12-803726-3.00003-1
---Optical Model of Transcranial Infrared Light and the Penetration Rate to Prefrontal Lobe
Anders, J. J., Lanzafame, R. J., & Arany, P. R. (2015). Low-level light/laser therapy versus photobiomodulation therapy. Photomedicine and Laser Surgery, 33(4), 183¬¬–184. https://doi.org/10.1089/pho.2015.9848
Anders, J. J., Moges, H., Wu, X., Erbele, I. D., Alberico, S. L., Saidu, E. K., … Pryor, B. A. (2014). In vitro and in vivo optimization of infrared laser treatment for injured peripheral nerves. Lasers in Surgery and Medicine, 46(1), 34–45. https://doi.org/10.1002/lsm.22212
Barrett, D. W., & Gonzalez-Lima, F. (2013). Transcranial infrared laser stimulation produces beneficial cognitive and emotional effects in humans. Neuroscience, 230, 13–23. https://doi.org/10.1016/j.neuroscience.2012.11.016
Blanco, N. J., Saucedo, C. L., & Gonzalez-Lima, F. (2017). Transcranial infrared laser stimulation improves rule-based, but not information-integration, category learning in humans. Neurobiology of Learning and Memory, 139, 69–75. https://doi.org/10.1016/j.nlm.2016.12.016
Rojas, J. C., & Gonzalez-Lima, F. (2017). Transcranial low-level laser (light) therapy for neurocognitive enhancement. In M. R. Hamblin, M. V. P. de Sousa, & T. Agrawal (Eds.), Handbook of low-level laser therapy (1st ed., pp. 1057–1076). Singapore: Pan Stanford Publishing.
Sung, K.-B., Kao, T.-C., Zhan, C.-S., & Lin, T.-X. (2019, April). Comparison of photon energy distributions in the prefrontal cortex between 810 nm and 1064 nm for optimizing photobiomodulation effects. Paper presented at the Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA, BRAIN, NTM, OMA, OMP), The Optical Society (Optical Society of America, 2019), Tucson, AZ. https://doi.org/10.1364/BRAIN.2019.BW4A.5
Tian, F., Hase, S. N., Gonzalez-Lima, F., & Liu, H. (2016). Transcranial laser stimulation improves human cerebral oxygenation. Lasers in Surgery and Medicine, 48(4), 343–349. https://doi.org/10.1002/lsm.22471
Vargas, E., Barrett, D. W., Saucedo, C. L., Huang, L.-D., Abraham, J. A., Tanaka, H., ... Gonzalez-Lima, F. (2017). Beneficial neurocognitive effects of transcranial laser in older adults. Lasers in Medical Science, 32(5), 1153–1162. https://doi.org/10.1007/s10103-017-2221-y
Wang, X., Tian, F., Soni, S. S., Gonzalez-Lima, F., & Liu, H. (2016). Interplay between up-regulation of cytochrome-c-oxidase and hemoglobin oxygenation induced by near-infrared laser. Scientific Reports, 6, 30540. https://doi.org/10.1038/srep30540
---All Artifacts
Johnstone, J. (2005, September). QEEG patterns: Subgroups, profiles, phenotypes. Paper presented at the 13th Annual Conference of the International Society for Neuronal Regulation (ISNR), Denver, CO.
La Vaque, T. J., Hammond, D. C., Trudeau, D., Monastra, V., Perry, J., Lehrer, P., … Sherman, R. (2002). Template for developing guidelines for the evaluation of the clinical efficacy of psychophysiological interventions. Applied Psychophysiology and Biofeedback, 27(4), 273–281. https://doi.org/10.1023/A:1021061318355
Niedermeyer, E., & Lopes da Silva, F. (1993). EEG patterns and genetics. In E. Niedermeyer & F. Lopes da Silva, Electroencephalography: Basic principles, clinical applications and related fields (3rd ed., pp. 192–195). Baltimore, MD: Lippincott, Williams & Wilkins.
Prichep, L. S., & John, E. R. (1992). QEEG profiles of psychiatric disorders. Brain Topography, 4(4), 249–257. https://doi.org/10.1007/BF01135562
---Correlations Between Quantitative EEG Volumetric Analysis and Computerized Cognitive Testing Shortly After Sport Concussion Injury in High School Athletes
Barr, W. B., Prichep, L. S., Chabot, R., Powell, M. R., & McCrea, M., (2012). Measuring brain electrical activity to track recovery from sport-related concussion. Brain Injury, 26(1), 58–66. https://doi.org/10.3109/02699052.2011.608216
Bricolo, A., Turazzi, S., Faccioli, F., Odorizzi, F., Sciaretta, G., & Erculiani, P. (1978). Clinical application of compressed spectral array in long-term EEG monitoring of comatose patients. Electroencephalography and Clinical Neurophysiology, 45(2), 211–225. https://doi.org/10.1016/0013-4694(78)90005-6
Cannon, R., Baldwin, D. R., Shaw, T. L., Diloreto, D. J., Phillips, S. M., Scruggs, A. M., & Riehl, T. C. (2012) Reliability of quantitative EEG (qEEG) measures and LORETA current source density at 30 days. Neuroscience Letters, 518(1), 27–31. https://doi.org/10.1016/j.neulet.2012.04.035
Cannon, R., Kerson, C., & Hampshire, A. (2011). sLORETA and fMRI detection of medial prefrontal default network anomalies in adult ADHD. Journal of Neurotherapy, 15(4), 358–373, https://doi.org/10.1080/10874208.2011.623093
Duffy, F. H., Bartels, P. H., & Burchfiel, J. L. (1981). Significance probability mapping: An aid in the topographic analysis of brain electrical activity. Electroencephalography and Clinical Neurophysiology, 51(5), 455–462. https://doi.org/10.1016/0013-4694(81)90221-2
Duncan, C. C., Kosmidis, M. H., & Mirsky, A. F. (2003). Event–related potential assessment of information processing after closed head injury. Psychophysiology, 40(1), 45–59. https://doi.org/10.1111/1469-8986.00006
Duncan, C. C., Kosmidis, M. H., & Mirsky, A. F. (2005). Closed head injury-related information processing deficits: An event-related potential analysis. International Journal of Psychophysiology, 58(2–3), 133–157. https://doi.org/10.1016/j.ijpsycho.2005.05.011
Giza, C. C., & Hovda, D. A. (2014). The new neurometabolic cascade of concussion. Neurosurgery, 75(Suppl. 4), S24–S33. https://doi.org/10.1227/NEU.0000000000000505
Gosselin, N., Bottari, C., Chen, J.-K., Huntgeburth, S. C., De Beaumont, L., Petrides, M., ... Ptito, A. (2012). Evaluating the cognitive consequences of mild traumatic brain injury and concussion by using electrophysiology. Neurosurgical Focus, 33(6), E7. https://doi.org/10.3171/2012.10.FOCUS12253
Gosselin, N., Lassonde, M., Petit, D., Leclerc, S., Mongrain, V., Collie, A., & Montplaisir, J. (2009). Sleep following sport-related concussions. Sleep Medicine, 10(1), 35–46. https://doi.org/10.1016/j.sleep.2007.11.023
Haglund, Y., & Persson, H. E. (1990). Does Swedish amateur boxing lead to chronic brain damage. 3.A retrospective clinical neurophysiological study. Acta Neurologica Scandinavica, 82(6), 353–360. https://doi.org/10.1111/j.1600-0404.1990.tb03316.x
Hanley, D., Prichep, L. S., Bazarian, J., Huff, J. S., Naunheim, R., Garrett, J., … Hack, D. C. (2017) Emergency department triage of traumatic head injury using a brain electrical activity biomarker: A multisite prospective observational validation trial. Academic Emergency Medicine, 24(5), 617–627. https://doi.org/10.1111/acem.13175
Jasper, H. H. (1958). The ten-twenty electrode system of the International Federation. Electroencephalography and Clinical Neurophysiology, 10, 371–375.
John, E. R. (1977). Neurometrics: Clinical applications of quantitative electrophysiology. Hillsdale, NJ: L. Erlbaum Associates.
Koberda, L. (2015). Z-Score LORETA neurofeedback as a potential therapy in cognitive dysfunction and dementia. Journal of Psychology & Clinical Psychiatry, 1(6), 00037. https://doi.org/10.15406/jpcpy.2014.01.00037
Kutas, M., & Hillyard, S. A. (1980). Reading senseless sentences: Brain potentials reflect semantic incongruity. Science, 207(4427), 203–205. https://doi.org/10.1126/science.7350657
Ledwidge, P. S., & Molfese, D. L. (2016). Long-term effects of concussion on electrophysiological indices of attention in varsity college athletes: An event-related potential and standardized low-resolution brain electromagnetic tomography approach. Journal of Neurotrauma, 33(23), 2081–2090. https://doi.org/10.1089/neu.2015.4251
McCrea, M., Prichep, L., Powell, M., Chabot, R., & Barr, W. (2010). Acute effects and recovery after sport-related concussion: A neurocognitive and quantitative brain electrical activity study. Journal of Head Trauma Rehabilitation, 25(4), 283–292. https://doi.org/10.1097/HTR.0b013e3181e67923
NIH SBIR Contract # NS72370-000, Rest Technologies, Chris Mann, Jerald Simmons, Continuous EEG Monitoring Methodologies, Awarded 1997.
Pascual-Marqui, R. D. (1999). Review of methods for solving the EEG inverse problem. International Journal of Bioelectromagnetism, 1(1), 75–86.
Pascual-Marqui, R. D. (2002). Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical details. (2002) Methods & Findings in Experimental & Clinical Pharmacology, 24(Suppl. D), 5–12.
Schoenhuber, R., Gentilini, M., & Orlando, A. (1988). Prognostic value of auditory brain-stem responses for late postconcussion symptoms following minor head injury. Journal of Neurosurgery, 68(5), 742–744. https://doi.org/10.3171/jns.1988.68.5.0742
Thatcher, R. W., Walker, R. A., Biver, C. J., North, D. N., & Curtin, R. (2003). Quantitative EEG normative databases: Validation and clinical correlation. Journal of Neurotherapy, 7(3–4), 87–121. https://doi.org/10.1300/J184v07n03_05
Thatcher, R. W., Walker, R. A., Gerson, I., Geisler, F. H. (1989). EEG discriminant analyses of mild head trauma, Electroencephalography and Clinical Neurophysiology, 73(2), 94–106. https://doi.org/10.1016/0013-4694(89)90188-0
Thompson, M., Thompson, L., & Reid-Chung, A. (2015). Treating postconcussion syndrome with LORETA Z-Score neurofeedback and heart rate variability biofeedback: Neuroanatomical/neurophysiological rationale, methods, and case examples. Biofeedback, 43(1), 15–26. https://doi.org/10.5298/1081-5937-43.1.07
Vespa, P. M., Nuwer, M. R., Juhász, C., Alexander, M., Nenov, V., Martin, N., & Becker, D. P. (1997). Early detection of vasospasm after acute subarachnoid hemorrhage using continuous EEG ICU monitoring. Electroencephalography and Clinical Neurophysiology, 103(6), 607–615. https://doi.org/10.1016/s0013-4694(97)00071-0
Vitacco, D., Brandeis, D., Pascual‐Marqui, R., & Martin, E. (2002). Correspondence of event‐related potential tomography and functional magnetic resonance imaging during language processing. Human Brain Mapping, 17(1), 4–12. https://doi.org/10.1002/hbm.10038
---Integration of Neurofeedback in the Drug Court Treatment Model: A Pilot Study
Fisher, C. (2009). An overview of alpha-theta neurofeedback and its treatment effectiveness for substance abuse. Retrieved from http://www.bmedreport.com/archives/6071
Peniston, E. G. (1998). The Peniston-Kulkosky brainwave neurofeedback therapeutic protocol: The future of psychotherapy for alcoholism/PTSD/behavioral medicine. Retrieved from http://www.aaets.org/article47.htm
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. https://doi.org/10.1111/j.1530-0277.1989.tb00325.x
Pollack, V. E., Volavka, J., Goodwin, D. W., Medrick, S. A., Gabrielli, W. F., Knop, J., & Schulsinger, F. (1983). The EEG after alcohol in men at risk for alcoholism. Archives of General Psychiatry, 40(8), 857¬–864.
Ritvo, J. I., Martin, L. F., & Fehling, P. D. (2015). Community-based treatment. In M. Galanter, H. D. Kleber, & K. Brady (Eds.), The American Psychiatric Publishing Textbook of Substance Abuse Treatment (5th ed., pp. 531–543). Washington, DC: American Psychiatric Publishing.
Scott, W. C., Kaiser, D., Othmer, S., & Sideroff, S. I. (2005). Effects of an EEG biofeedback protocol on a mixed substance abusing population. The American Journal of Drug and Alcohol Abuse, 31(3), 455–469. https://doi.org/10.1081/ada-200056807
---Heart Rate Variability: Psychological Factors and a Novel Technique for Dramatically Enhanced Results
Moss, D. (2004). Heart rate variability and biofeedback. Psychophysiology Today: The Magazine for Mind-Body Medicine, 1, 4–11.
Siever, D. (2012). Heart rate variability and Audio-visual entrainment. Retrieved from http://mindalive.com/index.cfm/research/hrv-ave/
Winkelmann, T., Thayer, J. F., Pohlack, S., Nees, F., Grimm, O., & Flor, H. (2017). Structural brain correlates of heart rate variability in a healthy young adult population. Brain Structure and Function, 222(2), 1061–1068. https://doi.org/10.1007/s00429-016-1185-1
---Understanding the Neurophysiology of PTSD, Moral Injury, and Posttraumatic Growth: How It Can Guide Training Protocols
Ames, D., Erickson, Z., Youssef, N. A., Arnold, I., Adamson, C. S., Sones, A. C., … Koenig, H. G. (2019). Moral injury, religiosity, and suicide risk in U.S. veterans and active duty military with PTSD symptoms. Military Medicine, 184(3–4), e271–e278. https://doi.org/10.1093/milmed/usy148
Cerdá, M. (2014). Posttraumatic growth in the aftermath of a disaster: Looking for the role of gender. Social Psychiatry and Psychiatric Epidemiology, 49(12), 1859–1860. https://doi.org/10.1007/s00127-014-0949-2
Currier, J. M., Drescher, K. D., Holland, J. M., Lisman, R., & Foy, D. W. (2016). Spirituality, forgiveness, and quality of life: Testing a mediational model with military veterans with PTSD. The International Journal for the Psychology of Religion, 26(2), 167–179. https://doi.org/10.1080/10508619.2015.1019793
Currier, J. M., Holland, J. M., & Malott, J. (2015). Moral injury, meaning making, and mental health in returning veterans. Journal of Clinical Psychology, 71(3), 229–240. https://doi.org/10.1002/jclp.22134
Joseph, S. (2009). Growth following adversity: Positive psychological perspectives on posttraumatic stress. Psihologijske Teme [Psychological Topics], 18(2), 335–343.
---Emotions: Exposing the Neurological Pathways that Far Too Often Control Our Behaviors
Bonnstetter, B. J., Bonnstetter, R. J., Hebets, D., & Collura, T. F. (2015). U.S. Patent No. 9,060,702. Washington, DC: U.S. Patent and Trademark Office.
Bonnstetter, B. J., Bonnstetter, R. J., Hebets, D., & Collura, T. F. (2016). Canadian Patent No. 2,808,691. Gatineau, Québec: Canadian Intellectual Property Office.
Bonnstetter, R. J., Gehrig, E., & Hebets, D. (2018). Response process validation protocol using neurophenomenological gamma asymmetry. NeuroRegulation, 5(3), 93–102. https://doi.org/10.15540/nr.5.3.93
Bonnstetter, R. J., Hebets, D. & Wigton, N. L. (2015). Frontal gamma asymmetry in response to soft skills stimuli: A pilot study. NeuroRegulation, 2(2), 70–85. https://doi.org/10.15540/nr.2.2.70
Collura, T. F., Wigton, N. L., Zalaquett, C., Chatters-Smith, S. S., & Bonnstetter, R. J. (2016). The value of EEG-based electromagnetic tomographic analysis in human performance and mental health. Biofeedback, 44(2), 58–65. https://doi.org/10.5298/1081-5937-44.2.03
Collura, T. F., Zalaquett, C. P., Bonnstetter, R. J., & Chatters, S. J. (2014). Toward an operational model of decision making, emotional regulation, and mental health impact. Advances in Mind-Body Medicine, 28(4), 18–33.
Damasio, A. R., Tranel, D. & Damasio, H. (1991). Somatic markers and the guidance of behaviour: Theory and preliminary testing. In H. S. Levin, H. M. Eisenberg & A. L. Benton (Eds.), Frontal lobe function and dysfunction (pp. 217–229). New York, NY: Oxford University Press.
Davidson, R. J. (1992). Emotion and affective style: Hemispheric substrates. Psychological Science, 3(1), 39–43. https://doi.org/10.1111/j.1467-9280.1992.tb00254.x
Davidson, R. J. (2000). Affective style, psychopathology, and resilience: Brain mechanisms and plasticity. American Psychologist, 55(11), 1196–1214. https://doi.org/10.1037/0003-066X.55.11.1196
Davidson, R. J. (2002). Anxiety and affective style: Role of prefrontal cortex and amygdala. Biological Psychiatry, 51(1), 68–80. https://doi.org/10.1016/S0006-3223(01)01328-2
Davidson, R. J. (2004). What does the prefrontal cortex “do” in affect: Perspectives on frontal EEG asymmetry research. Biological Psychology, 67(1–2), 219–234. https://doi.org/10.1016/j.biopsycho.2004.03.008
Davidson, R. J., Ekman, P., Saron, C. D., Senulis, J. A., & Friesen, W. V. (1990). Approach-withdrawal and cerebral asymmetry: Emotional expression and brain physiology: I. Journal of Personality and Social Psychology, 58(2), 330–341. https://doi.org/10.1037/0022-3514.58.2.330
Davidson, R. J., Pizzagalli, D., Nitschke, J. B., & Kalin, N. H. (2003). Parsing the subcomponents of emotion and disorders of emotion: Perspectives from affective neuroscience. In R. J. Davidson, K. R. Scherer, & H. H. Goldsmith (Eds.), Series in affective science. Handbook of affective sciences (pp. 8–24). New York, NY: Oxford University Press.
Davidson, R. J., Schwartz, G. E., Saron, C., Bennett, J., & Goleman, D. J. (1979). Frontal versus parietal EEG asymmetry during positive and negative affect. Psychophysiology, 16, 202–203.
Gordon, E., Barnett, K. J., Cooper, N. J., Tran, N., & Williams, L. M. (2008). An “integrative neuroscience” platform: Application to profiles of negativity and positivity bias. Journal of Integrative Neuroscience, 7(3), 345–366. https://doi.org/10.1142/S0219635208001927
Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review. 108(4), 814–834. https://doi.org/10.1037/0033-295x.108.4.814
Harmon-Jones, E. (2004). Contributions from research on anger and cognitive dissonance to understanding the motivational functions of asymmetrical frontal brain activity. Biological Psychology, 67(1–2), 51–76. https://doi.org/10.1016/j.biopsycho.2004.03.003
Kim, J. (1993). Supervenience and mind: Selected philosophical essays. Cambridge, UK: Cambridge University Press.
Kim, J. (1999). Making sense of emergence. Philosophical Studies, 95(1-2), 3–36. https://doi.org/10.1023/A:1004563122154
Nitschke, J. B., Heller, W., Etienne, M. A., & Miller, G. A. (2004). Prefrontal cortex activity differentiates processes affecting memory in depression. Biological Psychology, 67(1–2), 125–143. https://doi.org/10.1016/j.biopsycho.2004.03.004
Naccache, L., Gaillard, R., Adam, C., Hasboun, D., Clémenceau, S., Baulac, M., … Cohen, L. (2005). A direct intracranial record of emotions evoked by subliminal words. Proceedings of the National Academy of Sciences of the United States of America, 102(21), 7713–7717. https://doi.org/10.1073/pnas.0500542102
Oakes, T. R., Pizzagalli, D. A., Hendrick, A. M., Horras, K. A., Larson, C. L., Abercrombie, H. C., … Davidson, R. J. (2004). Functional coupling of simultaneous electrical and metabolic activity in the human brain. Human Brain Mapping, 21(4), 257–270. https://doi.org/10.1002/hbm.20004
Pascual-Marqui, R. D. (2002). Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical details. Methods and Findings in Experimental and Clinical Pharmacology, 24(Suppl. D), 5–12.
Pizzagalli, D. A., Greischar, L. L., & Davidson, R. J. (2003). Spatio-temporal dynamics of brain mechanisms in aversive classical conditioning: High-density event-related potential and brain electrical tomography analyses. Neuropsychologia, 41(2), 184–194. https://doi.org/10.1016/S0028-3932(02)00148-3
Pizzagalli, D. A., Nitschke, J. B., Oakes, T. R., Hendrick, A. M., Horras, K. A., Larson, C. L., … Davidson, R. J. (2002). Brain electrical tomography in depression: the importance of symptom severity, anxiety, and melancholic features. Biological Psychiatry, 52(2), 73–85. https://doi.org/10.1016/S0006-3223(02)01313-6
Pizzagalli, D., Pascual-Marqui, R. D., Nitschke, J. B., Oakes, T. R., Larson, C. L., Abercrombie, H. C., … Davidson, R. J. (2001). Anterior cingulate activity as a predictor of degree of treatment response in major depression: Evidence from brain electrical tomography analysis. The American Journal of Psychiatry 158(3), 405–415. https://doi.org/10.1176/appi.ajp.158.3.405
Rock, D. (2008). SCARF: A brain-based model for collaborating with and influencing others. NeuroLeadership Journal, 1, 1–9.
Rolls, E. T. (1999). The brain and emotion. New York, NY: Oxford University Press.
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. https://doi.org/10.1080/10874208.2013.759032
The KEY Institute for Brain-Mind Research. (2014). Zürich, Switzerland: University of Zurich. Retrieved from http://www.uzh.ch/keyinst/
Sireci, S. G., & Sukin, T. (2013). Test validity. In K. F. Geisinger, B. A. Bracken, J. F. Carlson, J.-I. C. Hansen, N. R. Kuncel, S. P. Reise, & M. C. Rodriguez (Eds.), APA handbooks in psychology. APA handbook of testing and assessment in psychology, Vol. 1. Test theory and testing and assessment in industrial and organizational psychology (Ch. 4, pp. 61–84). Washington, DC: American Psychological Association. https://doi.org/10.1037/14047-004
---To Neuromarkers And Beyond: Importance of Identifying Neuromarkers and Biomarkers to Predict and Improve Treatment Outcome for People with Developmental Trauma
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.
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. https://doi.org/10.1300/J184v10n04_02
Tan, G., Dao, T. K., Farmer, L., Sutherland, R. J., & Gevirtz, R. (2011). Heart rate variability (HRV) and posttraumatic stress disorder (PTSD): A pilot study. Applied Psychophysiology and Biofeedback, 36(1), 27–35. https://doi.org/10.1007/s10484-010-9141-y
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(1–2), 33–44. https://doi.org/10.1016/s0149-7634(03)00007-1
---The Effect of NeuroField Neurostimulation and Neuromdulation on Acute Opiate Detoxification
Antonenko, D., Faxel, M., Grittner, U., Lavidor, M., & Flöel, A. (2016). Effects of transcranial alternating current stimulation on Cognitive Functions in healthy young and older adults. Neural Plasticity, 2016, 4274127. https://doi.org/10.1155/2016/4274127
Bikson, M., Grossman, P., Thomas, C., Zannou, A. L., Jiang, J., Adnan, T., … Woods, A. J. (2016). Safety of transcranial direct current stimulation: Evidenced based update 2016. Brain Stimulation, 9(5), 641–661. https://doi.org/10.1016/j.brs.2016.06.004
Brunoni, A. R., Moffa, A. H., Fregni, F., Palm, U., Padberg, F., Blumberger, D., … Loo, C. K. (2016) Transcranial direct current stimulation for acute major depressive episodes: Meta-analysis of individual patient data. The British Journal of Psychiatry, 208(6), 522–531. https://doi.org/10.1192/bjp.bp.115.164715
Palm, U., Chalah, M. A., Padberg, F., Al-Ani, T., Abdellaoui, M., Sorel, M., … Ayache, S. S. (2016). Effects of transcranial random noise stimulation (tRNS) on affect, pain and attention in multiple sclerosis. Restorative Neurology and Neuroscience, 34(2), 189–199. https://doi.org/10.3233/RNN-150557
Van den Heuvel, M. P., & Sporns, O. (2011). Rich-club organization of the human connectome. The Journal of Neuroscience, 31(44), 15775–15786. https://doi.org/10.1523/JNEUROSCI.3539-11.2011
---The Psychology of Adopting Medical Device Innovations in Mental Healthcare: The Case of Neurofeedback in the United States and the Netherlands
Denis, J.-L., Hébert, Y., Langley, A., Lozeau, D., & Trottier, L.-H. (2002). Explaining diffusion patterns for complex health care innovations. Health Care Management Review, 27(3), 60–73. https://doi.org/10.1097/00004010-200207000-00007
Epocrates. (2016). Attention deficit hyperactivity disorder in children: Common Vignette 1. Retrieved from https://online.epocrates.com/diseases/14222/Attention-deficithyperactivity-disorder-in-children/Common-Vignette
Epstein, R. M., Siegel, D. J., & Silberman, J. (2008). Self-monitoring in clinical practice: A challenge for medical educators. Journal of Continuing Education in the Health Professions, 28(1), 5–13. https://doi.org/10.1002/chp.149
European Commission. (2016). Joint-Statement on Mental Health for the EU Health Policy Platform on Mental Health and Policy. Retrieved from https://ec.europa.eu/health/sites/health/files/interest _groups/docs/ev_20161205_co02_en.pdf
HollandZorg. (2016). Alternative therapies and medicines. Ministry of Health, Government of the Netherlands. Retrieved from https://www.hollandzorg.com/dutch-healthcare-insurance/reimbursements/alternative-therapies-and-medicines
Latour, B. (1990). Technology is society made durable. The Sociological Review, 38(S1), 103–131. https://doi.org/10.1111/j.1467-954X.1990.tb03350.x
Pigott, H. E., Cannon, R., & Trullinger, M. (2018). The fallacy of sham-controlled neurofeedback trials: A reply to Thibault and Colleagues (2018). Journal of Attention Disorders. https://doi.org/10.1177/1087054718790802
Rogers, E. M. (2010). Diffusion of innovations (5th ed.). New York, NY: Free Press.
Smith, A. E., & Humphreys, M. S. (2006). Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping. Behavior Research Methods, 38(2), 262–279. https://doi.org/10.3758/BF03192778
Snyder, M. (1974). Self-monitoring of expressive behavior. Journal of Personality and Social Psychology, 30(4), 526–537. https://doi.org/10.1037/h0037039
Thibault, R. T., & Raz, A. (2017). The psychology of neurofeedback: Clinical intervention even if applied placebo. American Psychologist, 72(7), 679–688. https://doi.org/10.1037/amp0000118
Thibault, R. T., Veissière, S., Olson, J. A., & Raz, A. (2018). Treating ADHD with suggestion: Neurofeedback and placebo therapeutics. Journal of Attention Disorders, 22(8), 707–711. https://doi.org/10.1177/1087054718770012
Tukey, J. W. (1959). A quick compact two sample test to Duckworth's specifications. Technometrics, 1(1), 31–48. https://doi.org/10.1080/00401706.1959.10489847
Van Doren, J., Arns, M., Heinrich, H., Vollebregt, M. A., Strehl, U., & Loo, S. K. (2018). Sustained effects of neurofeedback in ADHD: A systematic review and meta-analysis. European Child & Adolescent Psychiatry, 28(3), 293–305. https://doi.org/10.1007/s00787-018-1121-4
Walshe, K., & Rundall, T. G. (2001). Evidence-based management: From theory to practice in health care. The Milbank Quarterly, 79(3), 429–457. https://doi.org/10.1111/1468-0009.00214
---An Integrative Neurotherapy Approach to Balancing the Gut-Brain Axis
Bell, A., & Ross, K. M. (2014). The neuro psycho physiological effects of chronic and excessive stress. American International Journal of Social Science, 3(1), 159–173.
Bischoff, S. C., Barbara, G., Buurman, W., Ockhuizen, T., Schulzke, J.-D., Serino, M., … Wells, J. M. (2014). Intestinal permeability—A new target for disease prevention and therapy. BMC Gastroenterology, 14, 189. https://doi.org/10.1186/s12876-014-0189-7
Cryan, J. F., & Dinan, T. G. (2012). Mind-altering microorganisms: The impact of the gut microbiota on brain and behaviour. Nature Reviews Neuroscience, 13(10), 701–712. https://doi.org/10.1038/nrn3346
De Palman, G., Collins, S. M., Bercik, P., & Verdu, E. F. (2014). The microbiota-gut-brain axis in gastrointestinal disorders: Stressed bugs, stressed brain or both? The Journal of Physiology, 592(14), 2989–2997. https://doi.org/10.1113/jphysiol.2014.273995
De Palma, G., Vida, C., Santacruz, A., De Castro, N. M., De la Fuente, M., & Sanz, Y. (2014). Impaired responses to gliadin and gut microbes of immune cells from mice with altered stress-related behavior and premature immune senescence. Journal of Neuroimmunology, 276(1), 47–57. https://doi.org/10.1016/j.jneuroim.2014.08.007
Grenham, S., Clarke, G., Cryan, J. F., & Dinan, T. G. (2011). Brain-gut-microbe communication in health and disease. Frontiers in Physiology, 2, 94. https://doi.org/10.3389/fphys.2011.00094
Mayer, E. A. (2011). Gut feelings: The emerging biology of gut–brain communication. Nature Reviews Neuroscience, 12(8), 453–466. https://doi.org/10.1038/nrn3071
Mayer, E. A., Knight, R., Mazmanian, S. K., Cryan, J. F., & Tillisch, K. (2014). Gut microbes and the brain: Paradigm shift in neuroscience. The Journal of Neuroscience, 34(46), 15490–15496. https://doi.org/10.1523/JNEUROSCI.3299-14.2014
---Meta-Analysis of Mulitvariate Coherence Neurofeedback research
Blinowska, K. J. (2011). Review of the methods of determination of directed connectivity from multichannel data. Medical & Biological Engineering & Computing, 49(5), 521–529. https://doi.org/10.1007/s11517-011-0739-x
Coben, R. (2013). Neurofeedback for autistic disorders: Emerging empirical evidence. In M. F. Casanova, A. S. El-Baz, & J. S. Suri (Eds.), Imaging the Brain in Autism (pp. 107–134). New York, NY: Springer. https://doi.org/10.1007/978-1-4614-6843-1_6
Coben, R., Middlebrooks, M., Lightstone, H., & Corbell, M. (2018). Four channel multivariate coherence training: Development and evidence in support of a new form of neurofeedback. Frontiers in Neuroscience, 12, 729. https://doi.org/10.3389/fnins.2018.00729
Coben, R., Wright, E. K., Decker, S. L., & Morgan, T. (2015). The impact of coherence neurofeedback on reading delays in learning disabled children: A randomized controlled study. NeuroRegulation, 2(4), 168–178. https://doi.org/10.15540/nr.2.4.168
Fernández, T., Herrera, W., Harmony, T., Díaz-Comas, L., Santiago, E., Sánchez, L., ... Valdés, G. P. (2003). EEG and behavioral changes following neurofeedback treatment in learning disabled children. Clinical Electroencephalography, 34(3), 145–152. https://doi.org/10.1177/155005940303400308
Frey, J., Mühl, C., Lotte, F., & Hachet, M. (2013). Review of the use of electroencephalography as an evaluation method for human-computer interaction. Proceedings from the International Conference on Physiological Computing Interface Workshop and Training Course (pp. 214¬–223), Lisbon, Portugal.
Gevensleben, H., Holl, B., Albrecht, B., Schlamp, D., Kratz, O., Studer, P., … Heinrich, H. (2010). European Child & Adolescent Psychiatry, 19(9), 715–724. https://doi.org/10.1007/s00787-010-0109-5
Kouijzer, M. E. J., de Moor, J. M. H., Gerrits, B. J. L., Buitelaar, J. K., & van Schie, H. T. (2009). Long-term effects of neurofeedback treatment in autism. Research in Autism Spectrum Disorders, 3(2), 496–501. https://doi.org/10.1016/j.rasd.2008.10.003
Sterman, M. B., & Egner, T. (2006). Foundation and practice of neurofeedback for the treatment of epilepsy. Applied Psychophysiology and Biofeedback, 31(1), 21. https://doi.org/10.1007/s10484-006-9002-x
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. https://doi.org/10.3389/fnhum.2015.00723
---The Wisdom of Morphology
Chatrian, G. E., Bergamini, L., Dondey, M., Klass, D. W., Lennox, M., Buchthal, I., & Petersen, I. (1974). A glossary of terms most commonly used by clinical electroencephalographers, Electroencephalography and Clinical Neurophysiology, 37, 538–548.
Nunez, P. L. (1995). Neocortical dynamics and human EEG rhythms. New York, NY: Oxford University Press.
Sanei, S., & Chambers, J. A. (2007). EEG signal processing. Hoboken, NJ: John Wiley & Sons, Inc.
---Cognitive Function Enhancement Through Photobiomodulation on Prefrontal Lobe and the EEG measurements
Anders, J. J., Lanzafame, R. J., & Arany, P. R. (2015). Low-level light/laser therapy versus photobiomodulation therapy. Photomedicine and Laser Surgery, 33(4), 183–184. https://doi.org/10.1089/pho.2015.9848
Anders, J. J., Moges, H., Wu, X., Erbele, I. D., Alberico, S. L., Saidu, E. K., ... Pryor, B. A. (2014). In vitro and in vivo optimization of infrared laser treatment for injured peripheral nerves. Lasers in Surgery and Medicine, 46(1), 34–45. https://doi.org/10.1002/lsm.22212
Barrett, D. W., & Gonzalez-Lima, F. (2013). Transcranial infrared laser stimulation produces beneficial cognitive and emotional effects in humans. Neuroscience, 230, 13–23. https://doi.org/10.1016/j.neuroscience.2012.11.016
Blanco, N. J., Saucedo, C. L., & Gonzalez-Lima, F. (2017). Transcranial infrared laser stimulation improves rule-based, but not information- integration, category learning in humans. Neurobiology of Learning and Memory, 139, 69–75. https://doi.org/10.1016/j.nlm.2016.12.016
Rojas, J. C., & Gonzalez-Lima, F. (2017). Transcranial low-level laser (light) therapy for neurocognitive enhancement. In M. R. Hamblin, M. V. P. de Sousa, & T. Agrawal (Eds.), Handbook of low-level laser therapy (1st ed., pp. 1057¬–1076). Singapore: Pan Stanford Publishing.
Tian, F., Hase, S. N., Gonzalez-Lima, F., & Liu, H. (2016). Transcranial laser stimulation improves human cerebral oxygenation. Lasers in Surgery and Medicine, 48(4), 343–349. https://doi.org/10.1002/lsm.22471
Vargas, E., Barrett, D. W., Saucedo, C. L., Huang, L.-D., Abraham, J. A., Tanaka, H., ... Gonzalez-Lima, F. (2017). Beneficial neurocognitive effects of transcranial laser in older adults. Lasers in Medical Science, 32(5), 1153–1162. https://doi.org/10.1007/s10103-017-2221-y
Wang, X., Tian, F., Soni, S. S., Gonzalez-Lima, F., & Liu, H. (2016). Interplay between up-regulation of cytochrome-c-oxidase and hemoglobin oxygenation induced by near-infrared laser. Scientific Reports, 6, 30540. https://doi.org/10.1038/srep30540
---Dosage of Low Frequency rTMS Affects Event-Related Potentials and Evoked and Induced 40 Hz Gamma Oscillations in Autism Spectrum Disorder
Achenbach, T. M., & Rescorla, L. A. (2012). Multicultural guide for the ASEBA forms and profiles for ages 1½–18 (2nd ed.). Burlington, VT: University of Vermont.
Aman, M. G., & Singh, N. N. (1994). Aberrant behavior checklist – community. Supplementary manual. East Aurora, NY: Slosson Educational Publications.
Bodfish, J. W., Symons, F. J., & Lewis, M. H. (1999). Repetitive behavior scale. Morganton, NC: Western Carolina Center Research Reports.
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. https://doi.org/10.1177/1073858403253552
Casanova, M. F., Sokhadze, E., Opris, I., Wang, Y., & Li, X. (2015). Autism spectrum disorders: Linking neuropathological findings to treatment with transcranial magnetic stimulation. Acta Paediatrica, 104(4), 346–355. https://doi.org/10.1111/apa.12943
Constantino, J. N., & Gruber, C. P. (2005). The social responsiveness scale (SRS): manual. Los Angeles CA: Western Psychological Services.
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. https://doi.org/10.1034/j.1601-183X.2003.00037.x
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. https://doi.org/10.1007/s10803-008-0662-7
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. https://doi.org/10.1007/s10484-014-9264-7
Uzunova, G., Pallanti, S., & Hollander, E. (2016). Excitatory/inhibitory imbalance in autism spectrum disorders: Implications for interventions and therapeutics. The World Journal of Biological Psychiatry, 17(3), 174–186. https://doi.org/10.3109/15622975.2015.1085597
---Incorporation of Neurofeedback to Improve Sustained Attention During Learning Tasks
Vernon, D., Egner, T., Cooper, N., Compton, T., Neilands, C., Sheri, A., & Gruzelier, J. (2003). The effect of training distinct neurofeedback protocols on aspects of cognitive performance. International Journal of Psychophysiology, 47(1), 75–85. https://dx.doi.org/10.1016/S0167-8760(02)00091-0
---Neurofeedback: Behavioral and Neural Changes in College Students with ADHD
American Academy of Pediatrics. (2011). Neurofeedback, Hypnotherapy, and Guided Imagery. Retrieved from http://www.healthychildren.org/English/health-issues/conditions/adhd/Pages/Hypnotherapy-Guided-Imagery-and-Biofeedback.aspx
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (5th ed.). Washington, DC: Author.
Arns, M., Conners, C. K., & Kraemer, H. C. (2013). A decade of EEG theta/beta ratio research in ADHD: A meta-analysis. Journal of Attention Disorders, 17(5), 374–383. https://doi.org/10.1177/1087054712460087
DuPaul, G. J., Weyandt, L. L., O'Dell, S. M., & Varejao, M. (2009). College students with ADHD: Current status and future directions. Journal of Attention Disorders, 13(3), 234–250. https://doi.org/10.1177/1087054709340650
---Neurofeedback: Performance-Based Profile Changes in the ADHD-Afflicted Brain
American Academy of Pediatrics. (2011). Neurofeedback, Hypnotherapy, and Guided Imagery. Retrieved from http://www.healthychildren.org/English/health-issues/conditions/adhd/Pages/Hypnotherapy-Guided-Imagery-and-Biofeedback.aspx
Breteler, M. H. M., Arns, M., Peters, S., Giepmans, I., & Verhoeven, L. (2010). Improvements in spelling after QEEG-based neurofeedback in dyslexia: A randomized controlled treatment study. Applied Psychophysiology and Biofeedback, 35(1), 5–11. https://doi.org/10.1007/s10484-009-9105-2
Croona, C., Kihlgren, M., Lundberg, S., Eeg-Olofsson, O., & Eeg-Olofsson, K. E. (1999). Neuropsychological findings in children with childhood epilepsy with centrotemporal spikes. Developmental Medicine & Child Neurology, 41(12), 813–818. https://doi.org/10.1111/j.1469-8749.1999.tb00547.x
Gevensleben, H., Holl, B., Albrecht, B., Vogel, C., Schlamp, D., Kratz, O., … Heinrich, H. (2009), Is neurofeedback an efficacious treatment for ADHD? A randomized controlled clinical trial. Journal of Child Psychology and Psychiatry, 50(7), 780–789. https://doi.org/10.1111/j.1469-7610.2008.02033.x
Goldstein, S. (2011). Attention-deficit/ hyperactivity disorder. In S. Goldstein & C. R. Reynolds (Eds.), Handbook of Neurodevelopmental and Genetic Disorders in Children (2nd ed.). New York, NY: The Guilford Press.
Leach, J. P., Stephen, L. J., Salveta, C., & Brodie, M. J. (2006). Which electroencephalography (EEG) for epilepsy? The relative usefulness of different EEG protocols in patients with possible epilepsy. Journal of Neurology, Neurosurgery & Psychiatry, 77(9), 1040–1042. https://doi.org/10.1136/jnnp.2005.084871
McGonigal, A., Oto, M., Russell, A. J. C., Greene, J., & Duncan, R. (2002). Outpatient video EEG recording in the diagnosis of non-epileptic seizures: A randomised controlled trial of simple suggestion techniques. Journal of Neurology, Neurosurgery & Psychiatry, 72(4), 549–551. https://doi.org/10.1136/jnnp.72.4.549
Mormann, F., Lehnertz, K., David, P., & Elger, C. E. (2000). Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Physica D: Nonlinear Phenomenon, 144(3–4), 358–369. https://doi.org/10.1016/S0167-2789(00)00087-7
Thatcher, R. W., Walker, R. A., Gerson, I., & Geisler, F. H. (1989). EEG discriminant analyses of mild head trauma. Electroencephalography and clinical neurophysiology, 73(2), 94–106. https://doi.org/10.1016/0013-4694(89)90188-0
Walker, J. E. (2010). Recent advances in quantitative EEG as an aid to diagnosis and as a guide to neurofeedback training for cortical hypofunctions, hyperfunctions, disconnections, and hyperconnections: Improving efficacy in complicated neurological and psychological disorders. Applied Psychophysiology and Biofeedback, 35, 25–27. https://doi.org/10.1007/s10484-009-9107-0
Woods, S. P., Lovejoy, D. W., & Ball, J. D. (2002). Neuropsychological characteristics of adults with ADHD: a comprehensive review of initial studies. The Clinical Neuropsychologist, 16(1), 12–34. https://doi.org/10.1076/clin.16.1.12.8336
---Pilot Study of the Efficacy of Mobile Neurofeedback for Attention-Deficit/Hyperactivity Disorder (ADHD)
Arns, M., deRidder, 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 and Neuroscience, 40(3), 180–189. https://doi.org/10.1177/155005940904000311
Lofthouse, N., Arnold, L. E., Hersch, S., Hurt, E., & DeBeus, R. (2012). A review of neurofeedback treatment for pediatric ADHD. Journal of Attention Disorders, 16(5), 351–372. https://doi.org/10.1177/1087054711427530
Micoulaud-Franchi, J.-A., Geoffroy, P. A., Fond, G., Lopez, R., Bioulac, S., & Philip, P. (2014). EEG neurofeedback treatments in children with ADHD: An updated meta-analysis of randomized controlled trials. Frontiers in Human Neuroscience, 8, 906. https://doi.org/10.3389/fnhum.2014.00906
---Predictors of Neurofeedback Outcomes Following qEEG Individualized Protocols for Anxiety
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. https://doi.org/10.15540/nr.2.3.137
National Institute of Mental Health (2017). Any Anxiety Disorder. Retrieved from https://www.nimh.nih.gov/health/statistics/any-anxiety-disorder.shtml#part_155094
---Psychophysiological Correlates of Prefrontal Neurofeedback in Children with Autism Spectrum Disorder: Pilot Study
Achenbach, T. M., & Rescorla, L. A. (2012). Multicultural guide for the ASEBA forms and profiles for ages 1½–18 (2nd ed.). Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families.
Aman, M. G., & Singh, N. N. (1994). Aberrant behavior checklist – community. Supplementary manual. East Aurora, NY: Slosson Educational Publications.
Sokhadze, E. M., Casanova, M. F., Casanova, E. L., Klusek, J., & Roberts, J. (2019). Autonomic nervous system dysfunctions in children with autism spectrum disorder. In E. M. Sokhadze & M. F. Casanova (Eds.), Autism Spectrum Disorder: Neuromodulation, Neurofeedback and Sensory Integration Approaches to Research and Treatment (pp. 169–206). Murfreesboro, TN, FNNR
---Stuttering Throughout Development: A Case Series of Neuromodulation Patients
Bingham, B. (2013). Multi-modal treatment of stuttering: A case study showing neurofeedback coupled with traditional speech therapy. ISNR 20th Annual Conference. International Society for Neurofeedback and Research, Orlando, FL.
Chang, S.-E., Garnett, E. O., Etchell, A., & Chow, H. M. (2018). Functional and neuroanatomical bases of developmental stuttering: Current insights. The Neuroscientist, 107385841880359. https://doi.org/10.1177/1073858418803594
Craig-McQuaide, A., Akram, H., Zrinzo, L., & Tripoliti, E. (2014). A review of brain circuitries involved in stuttering. Frontiers in Human Neuroscience, 8, 884. https://doi.org/10.3389/fnhum.2014.00884
Einarsdóttir, J., & Ingham, R. J. (2008). The effect of stuttering measurement training on judging stuttering occurrence in preschool children who stutter. Journal of Fluency Disorders, 33(3), 167–179. https://doi.org/10.1016/j.jfludis.2008.05.004
Ingham, R. J., Ingham, J. C., Euler, H. A., & Neumann, K. (2018). Stuttering treatment and brain research in adults: A still unfolding relationship. Journal of Fluency Disorders, 55, 106–119. https://doi.org/10.1016/j.jfludis.2017.02.003
Kent, R. D. (2000). Research on speech motor control and its disorders: A review and prospective. Journal of Communication Disorders, 33(5), 391–428. https://doi.org/10.1016/S0021-9924(00)00023-X
Monastra, V. J. (2005). Electroencephalographic biofeedback (neurotherapy) as a treatment for attention deficit hyperactivity disorder: Rationale and empirical foundation. Child and Adolescent Psychiatric Clinics of North America, 14(1), 55–82. https://doi.org/10.1016/j.chc.2004.07.004
Özge, A., Toros, F., & Çömelekoǧlu, Ü. (2004). The role of hemispheral asymmetry and regional activity of quantitative EEG in children with stuttering. Child Psychiatry and Human Development, 34(4), 269–280. https://doi.org/10.1023/B:CHUD.0000020679.15106.a4
Postma, A., Kolk, H., & Povel, D.-J. (1990). On the relation among speech errors, disfluencies, and self-repairs. Language and Speech, 33(1), 19–29. https://doi.org/10.1177/002383099003300102
Ratcliff-Baird, B. (2008). ADHD and stuttering: Similar EEG profiles suggest neurotherapy as an adjunct to traditional speech therapies. Journal of Neurotherapy, 5(4), 5–22. https://doi.org/10.1300/J184v05n04_02
---The Effect of Thermal Biofeedback on Migraine, Disability, and Quality of Life in an Underserved Pediatric Neurology Population
Bellini, B., Arruda, M., Cescut, A., Saulle, C., Persico, A., Carotenuto, M., ... Guidetti, V. (2013). Headache and comorbidity in children and adolescents. The Journal of Headache and Pain, 14, 79. https://doi.org/10.1186/1129-2377-14-79
Chu, H.-T., Liang, C.-S., Lee, J.-T., Yeh, T.-C., Lee, M.-S., Sung, Y.-F., & Yang, F.-C. (2018). Associations between depression/anxiety and headache frequency in migraineurs: A cross-sectional study. Headache, 58(3), 407–415. https://doi.org/10.1111/head.13215
DeMaagd, G. (2008). The pharmacological management of migraine, part 1: Overview and abortive therapy. P & T, 33(7), 404–416.
Hu, X. H., Markson, L. E., Lipton, R. B., Stewart, W. F., & Berger, M. L. (1999). Burden of migraine in the United States: Disability and economic costs. Archives of Internal Medicine, 159(8), 813–818. https://doi.org/10.1001/archinte.159.8.813
Powers, S. W., Coffey, C. S., Chamberlin, L. A., Ecklund, D. J., Klingner, E. A., Yankey, J. W., … Hershey, A. D. (2017). Trial of amitriptyline, topiramate, and placebo for pediatric migraine. The New England Journal of Medicine, 376(2), 115–124. https://doi.org/10.1056/NEJMoa1610384
Stubberud, A., Varkey, E., McCrory, D. C., Pedersen, S. A., & Linde, M. (2016). Biofeedback as prophylaxis for pediatric migraine: A meta-analysis. Pediatrics, 138(2), e20160675. https://.doi.org/10.1542/peds.2016-0675
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