LORETA Neurofeedback at Precuneus: A Standard Approach for Use in Incarcerated Populations With Substance Use Problems
DOI:
https://doi.org/10.15540/nr.12.3.213Keywords:
Substance Use Disorders, neurofeedback therapy, Peniston protocol, Scott-Kaiser modification, qEEG, relapse preventionAbstract
Introduction. The objective for this case grouping study was to evaluate the feasibility and application of a standard protocol of LORETA neurofeedback (LNFB) at the precuneus to aid inmates in reducing symptomatic issues and recidivism in a local correctional facility. LNFB is a noninvasive, operant conditioning technique for improving neural signatures of self-regulation to reduce stress and the experiences of psychopathology as measured by objective tests. Methods. This case grouping includes 63 individuals (19 female) with a mean age of 37.11 (SD = 9.69). All participants signed informed consent and completed objective measures and EEG/LORETA baseline data. All participants completed 20 sessions of LNFB at precuneus targeting α current source density (CSD) on 20 consecutive business days. Results. Significant reductions on most scales of the PAI were present post-LNFB training. The sLORETA data shows significant differences in all ranges of current source density in medial and inferior frontal regions, anterior cingulate, and parietal regions posttraining. Among the 63 participants, 74.6% had not been rearrested for any reason postrelease. Additionally, 82.5% had not been rearrested due to substance use postrelease. Discussion. This case grouping offers support to the potential use of standard procedures for LNFB protocol targeting the left precuneus in aiding inmates with substance use disorders (SUD) in achieving better self-regulation and reducing relapse and rearrest rates.
References
Belenko, S., Hiller, M., & Hamilton, L. (2013). Treating substance use disorders in the criminal justice system. Current Psychiatry Reports, 15(11), Article 414. https://doi.org/10.1007/s11920-013-0414-z
Binswanger, I. A., Nowels, C., Corsi, K. F., Glanz, J., Long, J., Booth, R. E., & Steiner, J. F. (2012). Return to drug use and overdose after release from prison: a qualitative study of risk and protective factors. Addiction Science & Clinical Practice, 7(1), Article 3. https://doi.org/10.1186/1940-0640-7-3
Blom, J. L., & Anneveldt, M. (1982). An electrode cap tested. Electroencephalography and Clinical Neurophysiology, 54(5), 591–594. https://doi.org/10.1016/0013-4694(82)90046-3
Bronson, J., Stroop, J., Zimmer, S., & Berzofsky, M. (2017). Drug use, dependence, and abuse among state prisoners and jail inmates, 2007-2009. Bureau of Justice Statistics. https://bjs.ojp.gov/library/publications/drug-use-dependence-and-abuse-among-state-prisoners-and-jail-inmates-2007-2009
Brucker, D. L. (2007). Substance abuse treatment participation and employment outcomes for public disability beneficiaries with substance use disorders. The Journal of Behavioral Health Services & Research, 34(3), 290–308. https://doi.org/10.1007/s11414-007-9073-3
Buckner, R. L. (2012). The serendipitous discovery of the brain's default network. NeuroImage, 62(2), 1137–1145. https://doi.org/10.1016/j.neuroimage.2011.10.035
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain's default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124(1), 1–38. https://doi.org/10.1196/annals.1440.011
Burton, H., Snyder, A. Z., & Raichle, M. E. (2004). Default brain functionality in blind people. Proceeding of the National Academy of Sciences of the United States of America, 101(43), 15500–15505. https://doi.org/10.1073/pnas.0406676101
Cannon, R. L. (2014). Parietal foci for attention deficit/hyperactivity disorder: Targets for LORETA neurofeedback with outcomes. Applied Psychophysiology & Biofeedback, 42, 47–57. https://doi.org/10.5298/1081-5937-42.2.01
Cannon, R. L., & Baldwin, D. R. (2012). EEG current source density and the phenomenology of the default network. Clinical and EEG Neuroscience, 43(4), 257–267. https://doi.org/10.1177/1550059412449780
Cannon, R. L., Baldwin, D. R., Diloreto, D. J., Phillips, S. T., Shaw, T. L., & Levy, J. J. (2014). LORETA neurofeedback in the precuneus: Operant conditioning in basic mechanisms of self-regulation. Clinical EEG Neuroscience, 45(4), 238–248. https://doi.org/10.1177/1550059413512796
Cannon, R. L., Lubar, J., & Baldwin, D. (2008). Self-perception and experiential schemata in the addicted brain. Applied Psychophysiology and Biofeedback, 33(4), 223–238. https://doi.org/10.1007/s10484-008-9067-9
Cannon, R. L., Strunk, W., Carroll, S., & Carroll, S. (2018). LORETA neurofeedback at precuneus in 3-year-old female with intrauterine drug exposure. NeuroRegulation, 5(2), 75–82. https://doi.org/10.15540/nr.5.2.75
Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., Sonuga-Barke, E. J. S., Rotrosen, J., Adler, L. A., & Milham, M. P. (2008). Cingulate-precuneus interactions: A new locus of dysfunction in adult attention-deficit/hyperactivity disorder. Biological Psychiatry, 63(3), 332–337. https://doi.org/10.1016/j.biopsych.2007.06.025
Cavanna, A. E. (2007). The precuneus and consciousness. CNS Spectrums, 12(7), 545–552. https://doi.org/10.1017/s1092852900021295
Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129(3), 564–583. https://doi.org/10.1093/brain/awl004
Chandler, R. K., Fletcher, B. W., & Volkow, N. D. (2009). Treating drug abuse and addiction in the criminal justice system: Improving public health and safety. JAMA, 301(2), 183–190. https://doi.org/10.1001/jama.2008.976
Craig, A. D. (2002). How do you feel? Interoception: The sense of the physiological condition of the body. Nature Reviews Neuroscience, 3(8), 655–666. https://doi.org/10.1038/nrn894
Craig, A. D. (2009a). Emotional moments across time: A possible neural basis for time perception in the anterior insula. Philosohical Transactions of the Royal Society B Biological Sciences, 364(1525), 1933–1942. https://doi.org/10.1098/rstb.2009.0008
Craig, A. D. (2009b). How do you feel—Now? The anterior insula and human awareness. Nature Reviews Neuroscience, 10(1), 59–70. https://doi.org/10.1038/nrn2555
Craig, A. D. (2011a). Interoceptive cortex in the posterior insula: Comment on Garcia-Larrea et al. 2010 Brain 133, 2528. Brain, 134(4), e166. https://doi.org/10.1093/brain/awq308
Craig, A. D. (2011b). Significance of the insula for the evolution of human awareness of feelings from the body. Annals of the New York Academy of Sciences, 1225(1), 72–82. https://doi.org/10.1111/j.1749-6632.2011.05990.x
Cunningham, S. I., Tomasi, D., & Volkow, N. D. (2017). Structural and functional connectivity of the precuneus and thalamus to the default mode network. Human Brain Mapping, 38(2), 938–956. https://doi.org/10.1002/hbm.23429
Dadario, N. B., & Sughrue, M. E. (2023). The functional role of the precuneus. Brain, 146(9), 3598–3607. https://doi.org/10.1093/brain/awad181
Dadashi, M., Birashk, B., Taremian, F., Asgarnejad, A. A., & Momtazi, S. (2015). Effects of increase in amplitude of occipital alpha & theta brain waves on global functioning level of patients with GAD. Basic and Clinical Neuroscience, 6(1), 14–20.
Del Boca, F. K., & Noll, J. A. (2000). Truth or consequences: The validity of self-report data in health services research on addictions. Addiction, 95(Suppl. 3), S347–S360. https://doi.org/10.1080/09652140020004278
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995). Contributions of anterior cingulate cortex to behaviour. Brain, 118(1), 279–306. https://doi.org/10.1093/brain/118.1.279
Dunigan, R., Acevedo, A., Campbell, K., Garnick, D. W., Horgan, C. M., Huber, A., Lee, M. T., Panas, L., & Ritter, G. A. (2014). Engagement in outpatient substance abuse treatment and employment outcomes. The Journal of Behavioral Health Services & Research, 41(1), 20–36. https://doi.org/10.1007/s11414-013-9334-2
Fahrion, S. L., Walters, E. D., Coyne, L., & Allen, T. (1992). Alterations in EEG amplitude, personality factors, and brain electrical mapping after alpha-theta brainwave training: A controlled case study of an alcoholic in recovery. Alcoholism: Clinical and Experimental Research, 16(3), 547–552. https://doi.org/10.1111/j.1530-0277.1992.tb01415.x
Faridi, A., Taremian, F., & Thatcher, R. W. (2024). Comparative Analysis of LORETA z score neurofeedback and cognitive rehabilitation on quality of life and response inhibition in individuals with opioid addiction. Clinical EEG and Neuroscience, 56(2), 131–139. https://doi.org/10.1177/15500594241283069
Faridi, A., Taremian, F., Thatcher, R. W., Dadashi, M., & Moloodi, R. (2022). Comparing LORETA z score neurofeedback and cognitive rehabilitation regarding their effectiveness in reducing craving in opioid addicts. Basic and Clinical Neuroscience, 13(1), 81–96. https://doi.org/10.32598/bcn.2021.1946.1
Feldstein Ewing, S. W., & Chung, T. (2019). Precuneus: A key on the road to translation. Alcoholism: Clinical and Experimental Research, 43(6), 1063–1065. https://doi.org/10.1111/acer.14026
Fielenbach, S., Donkers, F. C. L., Spreen, M., Visser, H. A., & Bogaerts, S. (2018). Neurofeedback training for pychiatric disorders associated with criminal offending: A review. Frontiers in Psychiatry, 8, Article 313. https://doi.org/10.3389/fpsyt.2017.00313
Flanagin, V. L., Klinkowski, S., Brodt, S., Graetsch, M., Roselli, C., Glasauer, S., & Gais, S. (2023). The precuneus as a central node in declarative memory retrieval. Cerebral Cortex, 33(10), 5981–5990. https://doi.org/10.1093/cercor/bhac476
Fomina, T., Lohmann, G., Erb, M., Ethofer, T., Scholkopf, B., & Grosse-Wentrup, M. (2016). Self-regulation of brain rhythms in the precuneus: A novel BCI paradigm for patients with ALS. Journal of Neural Engineering, 13(6), Article 066021. https://doi.org/10.1088/1741-2560/13/6/066021
Fox, H. C., Hong, K.-I. A., Siedlarz, K., & Sinha, R. (2008). Enhanced sensitivity to stress and drug/alcohol craving in abstinent cocaine-dependent individuals compared to social drinkers. Neuropsychopharmacology, 33(4), 796–805. https://doi.org/10.1038/sj.npp.1301470
Gadea, M., Alino, M., Hidalgo, V., Espert, R., & Salvador, A. (2020). Effects of a single session of SMR neurofeedback training on anxiety and cortisol levels. Neurophysiologie Clinique, 50(3), 167–173. https://doi.org/10.1016/j.neucli.2020.03.001
Gevensleben, H., Moll, G. H., Rothenberger, A., & Heinrich, H. (2014). Neurofeedback in attention-deficit/hyperactivity disorder — Different models, different ways of application. Frontiers in Human Neuroscience, 8, Article 846. https://doi.org/10.3389/fnhum.2014.00846
Gomez, D., Jason, L. A., Contreras, R., DiGangi, J., & Ferrari, J. R. (2014). Vocational training and employment attainment among substance abuse recovering individuals within a communal living environment. Therapeutic Communities, 35(2), 42–47. https://doi.org/10.1108/TC-03-2014-0008
Greenfield, S. F., Back, S. E., Lawson, K., & Brady, K. T. (2007). Substance abuse in women. Psychiatric Clinics of North America, 33(2), 339–355. https://doi.org/10.1016/j.psc.2010.01.004
Gupta, R. K., Afsar, M., Yadav, R. K.,Shukla, D. P., & Rajeswaran, J. (2020). Effect of EEG neurofeedback training in patients with moderate–Severe traumatic brain injury: A clinical and electrophysiological outcome study. NeuroRegulation, 7(2), 75–83. https://doi.org/10.15540/nr.7.2.75
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001). Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(7), 4259–4264. https://doi.org/10.1073/pnas.071043098
Hammond, D.C. (2011). What is neurofeedback: An update. Journal of Neurotherapy: Investigations in Neuromodulation, Neurofeedback and Applied Neuroscience, 15(4), 305–336. https://doi.org/10.1080/10874208.2011.623090
Haney, C. (2006). Reforming punishment: Psychological limits to the pains of imprisonment. American Psychological Association.
Humphreys, K., & Tucker, J. A. (2002). Toward more responsive and effective intervention systems for alcohol-related problems. Addiction, 97(2), 126–132. https://doi.org/10.1046/j.1360-0443.2002.00004.x
Johnson, S., MacDonald, S. F., Cheverie, M., Myrick, C., & Fischer, B. (2012). Prevalence and trends of non-medical opioid and other drug use histories among federal correctional inmates in methadone maintenance treatment in Canada. Drug and Alcohol Dependence, 124(1–2), 172–176. https://doi.org/10.1016/j.drugalcdep.2011.12.014
Kaskutas, L. A. (1998a). Methodology and characteristics of programs and clients in the social model process evaluation. Journal of Substance Abuse & Addiction Treatment, 15(1), 19–25. https://doi.org/10.1016/s0740-5472(97)00245-6
Kaskutas, L. A. (1998b). The social model approach to substance abuse recovery. Journal of Substance Abuse Treatment, 15(1), 5–6. https://doi.org/10.1016/s0740-5472(97)00243-2
Kaskutas, L. A., Bond, J., & Humphreys, K. (2002). Social networks as mediators of the effect of Alcoholics Anonymous. Addiction, 97(7), 891–900. https://doi.org/10.1046/j.1360-0443.2002.00118.x
Kelley, L., Strunk, W., Cannon, R. L., & Leighton, J. (2019). EEG source localization and attention differences between children exposed to drugs in utero and those with attention deficit/hyperactivity disorder: A pilot study. NeuroRegulation, 6(1), 23–37. https://doi.org/10.15540/nr.6.1.23
Kelly, J. F., Humphreys, K., & Ferri, M. (2020). Alcoholics Anonymous and other 12-step programs for alcohol use disorder. Cochrane Database of Systematic Reviews, 3(CD012880). https://doi.org/10.1002/14651858.CD012880.pub2
Kleber, H. D. (2007). Pharmacologic treatments for opioid dependence: Detoxification and maintenance options. Dialogues in Clinical Neuroscience, 9(4), 455–470. https://doi.org/10.31887/DCNS.2007.9.2/hkleber
Knyazev, G. G., & Slobodskoy-Plusnin, J. Y. (2009). Substance use underlying behavior: Investigation of theta and high frequency oscillations in emotionally relevant situations. Clinical EEG and Neuroscience, 40(1), 1-4. https://doi.org/10.1177/155005940904000106
Knyazev, G. G., Slobodskoj-Plusnin, J. Y., & Bocharov, A. V. (2009). Event-related delta and theta synchronization during explicit and implicit emotion processing. Neuroscience, 164(4), 1588–1600. https://doi.org/10.1016/j.neuroscience.2009.09.057
Landenberger, N. A., & Lipsey, M. W. (2005). The positive effects of cognitive-behavioral programs for offenders: A meta-analysis of factors associated with effective treatment. Journal of Experimental Criminology, 1(4), 451–476. https://doi.org/10.1007/s11292-005-3541-7
Lubar, J. F. (1997). Neocortical dynamics: Implications for understanding the role of neurofeedback and related techniques for the enhancement of attention. Applied Psychophysiology and Biofeedback, 22(2), 111–126. https://doi.org/10.1023/a:1026276228832
Magill, M., Gaume, J., Apodaca, T. R., Walthers, J., Mastroleo, N. R., Borsari, B., & Longabaugh, R. (2014). The technical hypothesis of motivational interviewing: A meta-analysis of MI’s key causal model. Journal of Consulting and Clinical Psychology, 82(6), 973–983. https://doi.org/10.1037/a0036833
Magill, M., & Ray, L. A. (2009). Cognitive-behavioral treatment with adult alcohol and illicit drug users: A meta-analysis of randomized controlled trials. Journal of Studies on Alcohol and Drugs, 70(4), 516–527. https://doi.org/10.15288/jsad.2009.70.516
Mattick, R. P., Breen, C., Kimber, J., & Davoli, M. (2014). Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence. Cochrane Database of Systematic Reviews, 2(CD002207). https://doi.org/10.1002/14651858.CD002207.pub4
McCrady, B. S. (2013). Health-care reform provides an opportunity for evidence-based alcohol treatment in the USA: The National Institute for Health and Clinical Excellence (NICE) guideline as a model. Addiction, 108(2), 231–232. https://doi.org/10.1111/j.1360-0443.2012.04052.x
McLellan, A. T., Lewis, D. C., O'Brien, C. P., & Kleber, H. D. (2000). Drug dependence, a chronic medical illness: implications for treatment, insurance, and outcomes evaluation. JAMA, 284(13), 1689–1695. https://doi.org/10.1001/jama.284.13.1689
Miller, W. R. (2000). Rediscovering fire: Small interventions, large effects. Psychology of Addictive Behaviors, 14(1), 6–18. https://doi.org/10.1037/0893-164X.14.1.6
Moore, K. E., Roberts, W., Reid, H. H., Smith, K. M. Z., Oberleitner, L. M. S., & McKee, S. A. (2019). Effectiveness of medication-assisted treatment for opioid use in prison and jail settings: A meta-analysis and systematic review. Journal of Substance Abuse Treatment, 99, 32–43. https://doi.org/10.1016/j.jsat.2018.12.003
Najavits, L. M., Weiss, R. D., & Shaw, S. R. (2010). The link between substance abuse and posttraumatic stress disorder in women: A research review. American Journal on Addictions, 6(4), 273–283.
National Alliance on Mental Illness (NAMI). (2022). Mental health treatment while incarcerated. https://www.nami.org/Advocacy/Policy-Priorities/Improving-Health/Mental-Health-Treatment-While-Incarcerated.
National Institute on Drug Abuse (NIDA). (2020a). DrugFacts: Criminal justice. National Institutes of Health, U.S. Department of Health and Human Services. https://nida.nih.gov/publications/drugfacts/criminal-justice
National Institute on Drug Abuse (NIDA). (2020b). Treatment and recovery. National Institutes of Health, U.S. Department of Health and Human Services. https://nida.nih.gov/publications/drugfacts/treatment-and-recovery
Nooripour, R., Sikström, S., Ghanbari, N., Hosseinian, S., Hassani-Abharian, P., & Ilanloo, H. (2021). Neurofeedback rehabilitation reduces anxiety in methamphetamine abusers. NeuroRegulation, 8(3), 128–136. https://doi.org/10.15540/nr.8.3.128
Owens, M. D., Hallgren, K. A., Ladd, B. O., Rynes, K., McCrady, B. S., & Epstein, E. (2013). Associations between relationship satisfaction and drinking urges for women in alcohol behavioral couples and individual therapy. Alcoholism Treatment Quarterly, 31(4), 415–430. https://doi.org/10.1080/07347324.2013.831668
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
Prison Policy Initiative. (2022). Chronic punishment: The unmet mental health needs of people in prison. https://www.prisonpolicy.org/reports/chronicpunishment.html
Raichle, M. E. (2015). The brain's default mode network. Annual Review of Neuroscience, 38, 433–447. https://doi.org/10.1146/annurev-neuro-071013-014030
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 676–682. https://doi.org/10.1073/pnas.98.2.676
Raichle, M. E., & Snyder, A. Z. (2007). A default mode of brain function: A brief history of an evolving idea. NeuroImage, 37(4), 1083–1090. https://doi.org/10.1016/j.neuroimage.2007.02.041
Rolls, E. T. (2021). The neuroscience of emotional disorders. Handbook of Clinical Neurology, 183, 1–26. https://doi.org/10.1016/B978-0-12-822290-4.00002-5
Rolls, E. T., Hornak, J., Wade, D., & McGrath, J. (1994). Emotion-related learning in patients with social and emotional changes associated with frontal lobe damage. Journal of Neurology, Neurosurgery & Psychiatry, 57(12), 1518–1524. https://doi.org/10.1136/jnnp.57.12.1518
Santa Barbara County Probation Department. (2021). Neurofeedback recidivism reduction project. https://www.sbprobation.org/sbcprob/CCPWorkgroup/Documents/2021/NeurofeedackProjPresentoCCPSubgrp_09.22.21.pdf
Saxby, E., & Peniston, E. G. (1995). Alpha-theta brainwave neurofeedback training: An effective treatment for male and female alcoholics with depressive symptoms. Journal of Clinical Psychology, 51(5), 685–693. https://doi.org/10.1002/1097-4679(199509)51:5<685::aid-jclp2270510514>3.0.co;2-k
Schilbach, L., Eickhoff, S. B., Mojzisch, A., & Vogeley, K. (2008). What's in a smile? Neural correlates of facial embodiment during social interaction. Social Neuroscience, 3(1), 37–50. https://doi.org/10.1080/17470910701563228
Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., & Vogeley, K. (2008). Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the "default system" of the brain. Consciousness and Cognition, 17(2), 457–467. https://doi.org/10.1016/j.concog.2008.03.013
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
Shannon, B. J., & Buckner, R. L. (2004). Functional-anatomic correlates of memory retrieval that suggest nontraditional processing roles for multiple distinct regions within posterior parietal cortex. The Journal of Neuroscience, 24(45), 10084–10092. https://doi.org/10.1523/JNEUROSCI.2625-04.2004
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., Mintum, M. A., Wang, S., Coalson, R. S., & Raichle, M. E. (2009). The default mode network and self-referential processes in depression. Proceedings of the National Academy of Sciences of the United States of America, 106(6), 1942–1947. https://doi.org/10.1073/pnas.0812686106
Sherba, R. T., Coxe, K. A., Gersper, B. E., & Linley, J. V. (2018). Employment services and substance abuse treatment. Journal of Substance Abuse & Addiction Treatment, 87, 70–78. https://doi.org/10.1016/j.jsat.2018.01.015
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
Sinha, R. (2009). Modeling stress and drug craving in the laboratory: Implications for addiction treatment development. Addiction Biology, 14(1), 84–98. https://doi.org/10.1111/j.1369-1600.2008.00134.x
Sokhadze, T. M., Cannon, R. L., & Trudeau, D. L. (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
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
Thibault, R. T., & Raz, A. (2016). When can neurofeedback join the clinical armamentarium? The Lancet Psychiatry, 3(6), 497–498. https://doi.org/10.1016/s2215-0366(16)30040-2
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
Vincent, J. L., Kahn, I., Van Essen, D. C., & Buckner, R. L. (2010). Functional connectivity of the macaque posterior parahippocampal cortex. Journal of Neurophysiology, 103(2), 793–800. https://doi.org/10.1152/jn.00546.2009
Volkow, N. D., Koob, G. F., & McLellan, A. T. (2016). Neurobiologic advances from the brain disease model of addiction. The New England Journal of Medicine, 374(4), 363–371. https://doi.org/10.1056/NEJMra1511480
Wolff, N., Morgan, R. D., Shi, J., Huening, J., & Fisher, W. H. (2011). Thinking styles and emotional states of male and female prison inmates by mental disorder status. Psychiatric Services, 62(12), 1485–1493. https://doi.org/10.1176/appi.ps.000432011
Wuttke Institute. (2021). Recidivism reduction through neurofeedback. https://wuttkeinstitute.com/recidivism-reduction.
Zaller, N. D., Gorvine, M. M., Ross, J., Mitchell, S. G., Taxman, F. S., & Farabee, D. (2022). Providing substance use disorder treatment in correctional settings: Knowledge gaps and proposed research priorities—Overview and commentary. Addiction Science & Clinical Practice, 17(1), Article 69. https://doi.org/10.1186/s13722-022-00351-0
Zhang, B., Qi, S., Liu, S., Liu, X., Wei, X., & Ming, D. (2021). Altered spontaneous neural activity in the precuneus, middle and superior frontal gyri, and hippocampus in college students with subclinical depression. BMC Psychiatry, 21(1), Article 280. https://doi.org/10.1186/s12888-021-03292-1
Zhang, L., Huang, Y., Zhang, Y., Xin, W., Shao, Y., & Yang, Y. (2019). Enhanced high-frequency precuneus-cortical effective connectivity is associated with decreased sensory gating following total sleep deprivation. NeuroImage, 197, 255–263. https://doi.org/10.1016/j.neuroimage.2019.04.057
Zhang, R., Zhang, L., Wei, S., Wang, P., Jiang, X., Tang, Y., & Wang, F. (2020). Increased amygdala-paracentral lobule/precuneus functional connectivity associated with patients with mood disorder and suicidal behavior. Frontiers in Human Neuroscience, 14, Article 585664. https://doi.org/10.3389/fnhum.2020.585664
Zhang, S., & Li, C.-S. R. (2010). A neural measure of behavioral engagement: task-residual low-frequency blood oxygenation level-dependent activity in the precuneus. NeuroImage, 49(2), 1911–1918. https://doi.org/10.1016/j.neuroimage.2009.09.004
Zuvekas, S. H., & Hill, S. C. (2000). Income and employment among homeless people: The role of mental health, health and substance abuse. Journal of Mental Health Policy and Economics, 3(3), 153–163. https://doi.org/10.1002/mhp.94
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Copyright (c) 2025 Rex L Cannon, Carol Mills, Marc Geroux, Lisa Zahrt, Kevin Boluyt, Richard Webber, David Cook
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