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EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy, and Recommendations for Further Research
Open accessAbstract
Electroencephalographic (EEG) biofeedback has been employed in substance use disorder (SUD) over the last three decades. The SUD is a complex series of disorders with frequent comorbidities and EEG abnormalities of several types. EEG biofeedback has been employed in conjunction with other therapies and may be useful in enhancing certain outcomes of therapy. Based on published clinical studies and employing efficacy criteria adapted by the Association for Applied Psychophysiology and Biofeedback and the International Society for Neurofeedback and Research, alpha theta training-either alone for alcoholism or in combination with beta training for stimulant and mixed substance abuse and combined with residential treatment programs, is probably efficacious. Considerations of further research design taking these factors into account are discussed and descriptions of contemporary research are given.
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“In addition to these re-training paradigms, other paradigms have been developed which demonstrated promising results, such as evaluative conditioning (Houben et al., 2010), neurofeedback training (Sokhadze et al., 2008) and inhibition training in the context of problemrelated stimuli (Houben et al., 2011a), but these procedures have as yet only been tested in student samples.”
From Addiction, adolescence, and the integration of control and motivation (2011) · cites this paper as Sokhadze et al., 2008
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Metadata
- Authors
- Sokhadze, T. M., Cannon, R. L., & Trudeau, D. L.
- Affiliations
- University of Louisville (US)
- University of Tennessee at Knoxville (US)
- University of Minnesota (US)
- Corresponding author
- Sokhadze, Tato M.
- Cannon, Rex L.
- Trudeau, David L.
- Venue
- Applied Psychophysiology and Biofeedback
- Published
- 2008-01-24
- Volume
- 33
- Issue
- 1
- Pages
- 1-28
- ISSN
- 0363-3586 (ISSN-L)
- 1090-0586
- 1573-3270
- PMC
- PMC2259255
- OpenAlex
- W2598880572
- Cited by
- 222
- References
- 262
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 10 · 2023: 12 · 2022: 5 · 2021: 12 · 2020: 8 · 2019: 18 · 2018: 11 · 2017: 11 · 2016: 13 · 2015: 15 · 2014: 16 · 2013: 24 · 2012: 18
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Psychophysiology and Biofeedback (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (R03DA021821)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- neurofeedback, substance use disorders, alcoholism, stimulant abuse, residential treatment, treatment efficacy, EEG abnormalities
- MeSH terms
- Alcoholism, Alpha Rhythm, Central Nervous System Stimulants, Attention Deficit Disorder with Hyperactivity, Mental Disorders, Beta Rhythm, Biofeedback, Psychology, Brain Mapping, Electroencephalography, Frontal Lobe, Humans, Illicit Drugs, Theta Rhythm, Comorbidity, Cognitive Behavioral Therapy, Treatment Outcome, Event-Related Potentials, P300, Substance-Related Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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