Stanford Pain Relief Innovations Lab Guest Speaker Series: Event-related Potentials as Biomarkers in Substance use Disorders and Treatment (RECORDING)

Friday, July 7, 2023, 12:00 AM - Monday, July 6, 2026, 11:59 PM, On Demand

The Stanford Pain Relief Innovations lab, hosted by Dr. Beth Darnall, PhD, presents an online guest speaker series, inviting visiting professors in Pain Medicine, Pain Management and Pain Science. This lecture discusses event-related potentials as biomarkers in substance use disorders and treatment, presented by Rebecca Houston, PhD. Dr. Rebecca Houston is the director of the RIT Neurobehavioral Research Laboratory and an Associate Professor in the Health and Addictions Research Center and Department of Psychology at the Rochester Institute of Technology.

  Release Date: July 7, 2023
  Expiration Date: July 6, 2026
  Estimated Time to Complete: 1.0 hour
  Registration Fee: FREE
 *Originally recorded 07/14/2022

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AMA PRA Category 1 Credits™ (1.00 hours), AAPA Category 1 CME credits (1.00 hours), ACPE Contact Hours (1.00 hours), ANCC Contact Hours (1.00 hours), APA Continuing Education credits (1.00 hours), ASWB Continuing Education (ACE) credits (1.00 hours), Non-Physician Participation Credit (1.00 hours)

1. Describe event-related potentials (ERPs).
2. List advantages of using ERPs as a research tool for understanding neurocognitive processes in substance use and misuse.
3. Describe the potential uses for ERPs as biomarkers for substance use treatment outcomes.

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

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Stanford Medicine designates this Enduring Material for a maximum of 1.00 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

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Stanford Medicine designates this knowledge-based activity for a maximum of 1.0 hours. Credit will be provided to NABP CPE Monitor within 60 days after the activity completion. 

UAN#: JA0000751-0000-23-015-H08-P

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Stanford Medicine designates this Enduring Material for a maximum of 1.0 ANCC contact hours.  

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References:

Anderson, N. E., Baldridge, R. M., & Stanford, M. S. (2011). P3a amplitude predicts successful 
treatment program completion in substance-dependent individuals. Substance use & misuse, 46(5), 669–677. https://doi.org/10.3109/10826084.2010.528123

Bahji, A., Crockford, D., & El-Guebaly, N. (2022). Neurobiology and Symptomatology of Post-
Acute Alcohol Withdrawal: A Mixed-Studies Systematic Review. Journal of studies on alcohol and drugs, 83(4), 461–469. https://doi.org/10.15288/jsad.2022.83.461

Bauer L. O. (2001). CNS recovery from cocaine, cocaine and alcohol, or opioid dependence: a 
P300 study. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 112(8), 1508–1515. https://doi.org/10.1016/s1388-2457(01)00583-1

Bauer L. O. (1997). Frontal P300 decrements, childhood conduct disorder, family history, and 
the prediction of relapse among abstinent cocaine abusers. Drug and alcohol dependence, 44(1), 1–10. https://doi.org/10.1016/s0376-8716(96)01311-7

Chung, T., Noronha, A., Carroll, K. M., Potenza, M. N., Hutchison, K., Calhoun, V. D., Gabrieli, 
J. D., Morgenstern, J., Nixon, S. J., Wexler, B. E., Brewer, J., Ray, L., Filbey, F., Strauman, T. J., Kober, H., & Feldstein Ewing, S. W. (2016). Brain mechanisms of Change in Addictions Treatment: Models, Methods, and Emerging Findings. Current addiction reports, 3(3), 332–342. https://doi.org/10.1007/s40429-016-0113-z

Donovan, D. M., Anton, R. F., Miller, W. R., Longabaugh, R., Hosking, J. D., Youngblood, M., 
& COMBINE Study Research Group (2008). Combined pharmacotherapies and behavioral interventions for alcohol dependence (The COMBINE Study): examination of posttreatment drinking outcomes. Journal of studies on alcohol and drugs, 69(1), 5–13. https://doi.org/10.15288/jsad.2008.69.5

Dousset, C., Schroder, E., Ingels, A., Kajosch, H., Hanak, C., Veeser, J., Amiot, M., Kornreich, 
C., & Campanella, S. (2022). Intact Error-Related Negativity at the Start of a Three-Week Detoxification Program Reflects a Short-Term Protective Factor Against Relapse in Alcoholic Patients: Some Preliminary Evidence from a Follow-up Event-Related Potentials Study. Clinical EEG and neuroscience, 53(4), 316–325. https://doi.org/10.1177/15500594221076579

Feldstein Ewing, S. W., & Chung, T. (2013). Neuroimaging mechanisms of change in 
psychotherapy for addictive behaviors: emerging translational approaches that bridge biology and behavior. Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 27(2), 329–335. https://doi.org/10.1037/a0031491

Fink, B. C., Steele, V. R., Maurer, M. J., Fede, S. J., Calhoun, V. D., & Kiehl, K. A. (2016). 
Brain potentials predict substance abuse treatment completion in a prison sample. Brain and behavior, 6(8), e00501. https://doi.org/10.1002/brb3.501

Garrison, K. A., & Potenza, M. N. (2014). Neuroimaging and biomarkers in addiction treatment. 
Current psychiatry reports, 16(12), 513. https://doi.org/10.1007/s11920-014-0513-5

Glenn, S. W., Sinha, R., & Parsons, O. A. (1993). Electrophysiological indices predict 
resumption of drinking in sober alcoholics. Alcohol (Fayetteville, N.Y.), 10(2), 89–95. https://doi.org/10.1016/0741-8329(93)90086-4

Houston, R. J., & Schlienz, N. J. (2018). Event-Related Potentials as Biomarkers of Behavior 
Change Mechanisms in Substance Use Disorder Treatment. Biological psychiatry. Cognitive neuroscience and neuroimaging, 3(1), 30–40. https://doi.org/10.1016/j.bpsc.2017.09.006

Koob, G. F., & Volkow, N. D. (2016). Neurobiology of addiction: a neurocircuitry analysis. The 
lancet. Psychiatry, 3(8), 760–773. https://doi.org/10.1016/S2215-0366(16)00104-8

Kwako, L. E., Momenan, R., Litten, R. Z., Koob, G. F., & Goldman, D. (2016). Addictions 
Neuroclinical Assessment: A Neuroscience-Based Framework for Addictive Disorders. Biological psychiatry, 80(3), 179–189. https://doi.org/10.1016/j.biopsych.2015.10.024

Kwako, L. E., Schwandt, M. L., Ramchandani, V. A., Diazgranados, N., Koob, G. F., Volkow, 
N. D., Blanco, C., & Goldman, D. (2019). Neurofunctional Domains Derived From Deep Behavioral Phenotyping in Alcohol Use Disorder. The American journal of psychiatry, 176(9), 744–753. https://doi.org/10.1176/appi.ajp.2018.18030357

Luck, S. J., & Kappenman, E. S. (2017). Electroencephalography and event-related brain 
potentials. In J. T. Cacioppo, L. G. Tassinary, & G. G. Berntson (Eds.), Handbook of psychophysiology (pp. 74–100). Cambridge University Press.

Marhe, R., van de Wetering, B. J., & Franken, I. H. (2013). Error-related brain activity predicts 
cocaine use after treatment at 3-month follow-up. Biological psychiatry, 73(8), 782–788. https://doi.org/10.1016/j.biopsych.2012.12.016

Merner, A. R., Schlauch, R. C., Schlienz, N. J., & Houston, R. J. (2015). Self-report and 
neurophysiological validation of the Substance Use Risk Profile impulsivity and sensation-seeking scales. Presented at the International Society for Research on Impulsivity meeting, Toronto, Ontario, Canada. 

Namkoong, K., Lee, E., Lee, C. H., Lee, B. O., & An, S. K. (2004). Increased P3 amplitudes 
induced by alcohol-related pictures in patients with alcohol dependence. Alcoholism, clinical and experimental research, 28(9), 1317–1323. https://doi.org/10.1097/01.alc.0000139828.78099.69

Parsons O. A. (1994). Neuropsychological measures and event-related potentials in alcoholics: 
interrelationships, long-term reliabilities, and prediction of resumption of drinking. Journal of clinical psychology, 50(1), 37–46. https://doi.org/10.1002/1097-4679(199401)50:1<37::aid-jclp2270500105>3.0.co;2-0

Parvaz, M. A., Moeller, S. J., Malaker, P., Sinha, R., Alia-Klein, N., & Goldstein, R. Z. (2017). 
Abstinence reverses EEG-indexed attention bias between drug-related and pleasant stimuli in cocaine-addicted individuals. Journal of psychiatry & neuroscience : JPN, 42(2), 78–86. https://doi.org/10.1503/jpn.150358

Petit, G., Cimochowska, A., Cevallos, C., Cheron, G., Kornreich, C., Hanak, C., Schroder, E., 
Verbanck, P., & Campanella, S. (2015). Reduced processing of alcohol cues predicts abstinence in recently detoxified alcoholic patients in a three-month follow up period: an ERP study. Behavioural brain research, 282, 84–94. https://doi.org/10.1016/j.bbr.2014.12.057

Petit, G., Cimochowska, A., Kornreich, C., Hanak, C., Verbanck, P., & Campanella, S. (2014). 
Neurophysiological correlates of response inhibition predict relapse in detoxified alcoholic patients: some preliminary evidence from event-related potentials. Neuropsychiatric disease and treatment, 10, 1025–1037. https://doi.org/10.2147/NDT.S61475

Pfund, R. A., Hallgren, K. A., Maisto, S. A., Pearson, M. R., & Witkiewitz, K. (2021). Dose of 
psychotherapy and long-term recovery outcomes: An examination of attendance patterns in alcohol use disorder treatment. Journal of consulting and clinical psychology, 89(12), 1026–1034. https://doi.org/10.1037/ccp0000703

Porjesz, B., & Begleiter, H. (1996). Effects of alcohol on electrophysiological activity of the 
brain. In H. Begleiter, & B. Kissin (Eds.), The pharmacology of alcohol and alcohol dependence; The pharmacology of alcohol and alcohol dependence, pp. 207-247. Oxford University Press.

Porjesz, B., & Begleiter, H. (1985). The use of event-related potentials in the study of 
alcoholism: implications for the study of drugs of abuse. NIDA research monograph, 62, 77-99.

Ray, L. A., Meredith, L. R., Kiluk, B. D., Walthers, J., Carroll, K. M., & Magill, M. (2020). 
Combined Pharmacotherapy and Cognitive Behavioral Therapy for Adults With Alcohol or Substance Use Disorders: A Systematic Review and Meta-analysis. JAMA network open, 3(6), e208279. https://doi.org/10.1001/jamanetworkopen.2020.8279

Robinson, J. D., Versace, F., Engelmann, J. M., Cui, Y., Slapin, A., Oum, R., & Cinciripini, P. 
M. (2015). The motivational salience of cigarette-related stimuli among former, never, and current smokers. Experimental and clinical psychopharmacology, 23(1), 37–48. https://doi.org/10.1037/a0038467

Senn, S., Volken, T., Rösner, S., & Wieber, F. (2022). What is the relapse risk during treatment? 
Survivor analysis of single and multiple relapse events in inpatients with alcohol use disorder as part of an observational study. Journal of substance abuse treatment, 138, 108754. https://doi.org/10.1016/j.jsat.2022.108754

Substance Abuse and Mental Health Services Administration. (2021). Key substance use and 
mental health indicators in the United States: Results form the 2020 National Survey on Drug Use and Health (HHS Publication No. PEP21-07-01-003, NSDUH Series H-56). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. https://www.samhsa.gov/data/sites/default/files/reports/rpt35325/NSDUHFFRPDFWHTMLFiles2020/2020NSDUHFFR1PDFW102121.pdf

Tunison, E., Sylvain, R., Sterr, J., Hiley, V., & Carlson, J. M. (2019). No Money, No Problem: 
Enhanced Reward Positivity in the Absence of Monetary Reward. Frontiers in human neuroscience, 13, 41. https://doi.org/10.3389/fnhum.2019.00041

Volkow, N. D. (2022). Making Addiction Treatment More Realistic And Pragmatic: The Perfect 
Should Not Be The Enemy Of The Good. Health Affairs. https://doi.org/10.1377/forefront.20211221.691862

Volkow, N. D., & Boyle, M. (2018). Neuroscience of Addiction: Relevance to Prevention and 
Treatment. The American journal of psychiatry, 175(8), 729–740. https://doi.org/10.1176/appi.ajp.2018.17101174

Volkow, N. D., Woodcock, J., Compton, W. M., Throckmorton, D. C., Skolnick, P., Hertz, S., & 
Wargo, E. M. (2018). Medication development in opioid addiction: Meaningful clinical end points. Science translational medicine, 10(434), eaan2595. https://doi.org/10.1126/scitranslmed.aan2595

Wan, L., Baldridge, R. M., Colby, A. M., & Stanford, M. S. (2010). Association of P3 amplitude 
to treatment completion in substance dependent individuals. Psychiatry research, 177(1-2), 223–227. https://doi.org/10.1016/j.psychres.2009.01.033

Witkiewitz K. (2013). "Success" following alcohol treatment: moving beyond abstinence. 
Alcoholism, clinical and experimental research, 37 Suppl 1, E9–E13. https://doi.org/10.1111/acer.12001

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