Neurofeedback for Alcohol Use Disorder: Implications for Single-Case Research Design and Examining Craving Desire
DOI:
https://doi.org/10.15540/nr.11.4.338Keywords:
neurofeedback, ssingle-case research design,, Alcohol Use DisorderAbstract
Substance use disorder (SUD) and alcohol use disorder (AUD) persist as a significant concern in the United States despite increasing treatment options. Effective interventions to reduce cravings and prevent relapse are still sought after. During the pandemic, drinking behaviors and cravings exacerbated among individuals with AUD. Neurofeedback shows documented promise in addressing AUD, yet studies often lack comprehensive data on craving. In this quantitative study, participants with AUD received 12 neurofeedback sessions using the Peniston protocol as inspiration for session designs. Four research questions guided the study, examining pre–post qEEGs; pre, post, and follow-up AUDIT scores; and neurofeedback sessions data. The study also tracked changes in self-reported craving levels over time. Hypotheses predict improvement in post-qEEGs, posttreatment craving scores, and neurofeedback session averages following each neurofeedback session. The discussion will focus on the implications for neurofeedback for AUD, cravings, and single-case research designs.
References
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.). https://doi.org/10.1176/appi.books.9780890425787
Beauchamp, K. G. (1973). Signal processing using analog and digital techniques. George Allen & Unwin.
Borckardt, J. J. (2006). SMA time series analysis program for short time series data streams (Version 8.3.3.) [MacOS 64-Bit]. http://www.clinicalresearcher.org/software.htm
Congedo, M., & Lubar, J. F. (2003). Parametric and non-parametric analysis of QEEG: Normative database comparisons in electroencephalography, a simulation study on accuracy. In J. F. Lubar (Ed.), Quantitative electroencephalographic analysis (QEEG) databases for neurotherapy (pp. 1–29). The Haworth Medical Press.
Ciraulo, D. A., Barlow, D. H., Gulliver, S. B., Farchione, T., Morissette, S. B., Kamholz, B. W., Eisenmenger, K., Brown, B., Devine, E., Brown, T. A., & Knapp, C. M. (2013). The effects of venlafaxine and cognitive behavioral therapy alone and combined in the treatment of co-morbid alcohol use-anxiety disorders. Behaviour Research and Therapy, 51(11), 729–735. https://doi.org/10.1016/j.brat.2013.08.003
Dehghani-Arani, F., Rostami, R., & Nadali, H. (2013). Neurofeedback training for opiate addiction: Improvement of mental health and craving. Applied Psychophysiology and Biofeedback, 38, 133–141. https://doi.org/10.1007/s10484-013-9218-5
Demos, J. N. (2019). Getting started with EEG neurofeedback (2nd ed.). W. W. Norton & Company.
Dousset, C., Kajosch, H., Ingels, A., Schröder, E., Kornreich, C., & Campanella, S. (2020). Preventing relapse in alcohol disorder with EEG-neurofeedback as a neuromodulation technique: A review and new insights regarding its application. Addictive Behaviors, 106, Article 106391. https://doi.org/10.1016/j.addbeh.2020.106391
Edwards, A. C., Maes, H. H., Prescott, C. A., & Kendler, K. S. (2015). Multiple mechanisms influencing the relationship between alcohol consumption and peer alcohol use. Alcoholism: Clinical and Experimental Research, 39(2), 324–332. https://doi.org/10.1111/acer.12624
Fielenbach, S., Donkers, F. C. L., Spreen, M., & Bogaerts, S. (2019). The ability of forensic psychiatric patients with substance use disorder to learn neurofeedback. International Journal of Forensic Mental Health, 18(3), 187–199. https://doi.org/10.1080/14999013.2018.1485187
IBM Corp. (2021). IBM SPSS Statistics for Apple Macintosh (26) [Apple software]. IBM Corp., Armonk, N.Y., USA
Jones, M. S. (2015). Comparing DC offset and impedance readings in the assessment of electrode connection quality. NeuroRegulation, 2(1), 29–36. https://doi.org/10.15540/nr.2.1.29
Kavanagh, D. J., Statham, D. J., Feeney, G. F. X., Young, R. McD., May, J., Andrade, J., & Connor, J. P. (2013). Measurement of alcohol craving. Addictive Behaviors, 38(2), 1572–1584. https://doi.org/10.1016/j.addbeh.2012.08.004
Kazdin, A. E. (2021). Single‐case experimental designs: Characteristics, changes, and challenges. Journal of the Experimental Analysis of Behavior, 115(1), 56–85. https://doi.org/10.1002/jeab.638
La Vaque, T. J., Hammond, D. C., Trudeau, D., Monastra, V., Perry, J., Lehrer, P., Matheson, D., & 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
Lenz, A. S. (2015). Using single-case research designs to demonstrate evidence for counseling practices. Journal of Counseling & Development, 93(4), 387–393. https://doi.org/10.1002/jcad.12036
Lobo, M. A., Moeyaert, M., Cunha, A. B., & Babik, I. (2017). Single-case design, analysis, and quality assessment for intervention research. Journal of Neurologic Physical Therapy, 41(3), 187–197. https://doi.org/10.1097/NPT.0000000000000187
Manolov, R., & Solanas, A. (2018). Analytical options for single-case experimental designs: review and application to brain impairment. Brain Impairment, 19(1), 18–32. https://doi.org/10.1017/BrImp.2017.17
Omejc, N., Rojc, B., Battaglini, P., & Marusic, U. (2019). Review of the therapeutic neurofeedback method using electroencephalography: EEG neurofeedback. Bosnian Journal of Basic Medical Sciences, 19(3), 213–220. https://doi.org/10.17305/bjbms.2018.3785
Parker, R. I, & Vannest, K. (2009). An improved effect size for single-case research: Nonoverlap of all pairs. Behavior Therapy, 40, 357–367. https://doi.org/10.1016/j.beth.2008.10.006
Peniston, E. G., & Kulkosky, P. J. (1989). α-θ brainwave training and β-endorphin levels in alcoholics. Alcoholism: Clinical and Experimental Research, 13(2), 271–279. https://doi.org/10.1111/j.1530-0277.1989.tb00325.x
Peniston, E. G., & Kulkosky, P. J. (1990). Alcoholic personality and alpha-theta brainwave training. Medical Psychotherapy: An International Journal, 3, 37–55.
Saunders, J. B., Aasland, O. G., Babor, T. F., de La Fuente, J. R., & Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction, 88(6), 791–804. https://doi.org/10.1111/j.1360-0443.1993.tb02093.x
Schlauch, R. C., Crane, C. A., Connors, G. J., Dearing, R. L., & Maisto, S. A. (2019). The role of craving in the treatment of alcohol use disorders: The importance of competing desires and pretreatment changes in drinking. Drug and Alcohol Dependence, 199, 144–150. https://doi.org/10.1016/j.drugalcdep.2019.02.027
Scott, W., & Kaiser, D. (1998). Augmenting chemical dependency treatment with neurofeedback training. Journal of Neurotherapy, 3(1), 66.
Shepard, J. C. (2015). Neurofeedback training for substance use disorders: A review of the applicability in treatment. VISTAS Online, 68, 1–13.
Sokhadze, T., Cannon, R., & Trudeau, D. (2008). EEG biofeedback as a treatment for substance use disorders: Review, rating of efficacy, and recommendations for further research. Applied Psychophysiology and Biofeedback, 33(1), 1–28. https://doi.org/10.1007/s10484-007-9047-5
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