Effect of EEG neurofeedback therapy on addiction disorders: A systematic review and meta‐analysis.
Background and aim: Recently, electroencephalogram neurofeedback (EEG‐NF), a non‐invasive neuromodulation technique, has shown promising potential in treating addiction disorders. However, the heterogeneity of clinical populations and research methodologies make it challenging to reach consistent co...
| Publicado en: | Addiction Vol. 121; no. 2; pp. 225 - 239 |
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| Autores principales: | , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190769912&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190769912 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: Feb2026 vid: 121 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 190769912 187277208 190769912 190769912 10.1111/add.70164 190769912 ppf: 225 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Effect of EEG neurofeedback therapy on addiction disorders: A systematic review and meta‐analysis. aug: au: Wan, Huan Chen, Biao Li, Xiaoming Bu, Junjie affil: School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China sug: subj: Electroencephalography Treatment Outcomes Biofeedback Behavior, Addictive Prevention and Control Substance Use Disorders Prevention and Control Human Systematic Review Meta Analysis Behavior, Addictive Symptoms Confidence Intervals Dose-Response Relationship Biofeedback Classification Audiovisuals Regression Time Factors Age Factors Sex Factors Treatment Duration Checklists Publication Bias Evaluation PubMed Cochrane Library Embase Descriptive Statistics Adult Male Female Software Data Analysis Software Models, Statistical Funding Source Adult: 19-44 years Male Female ab: Background and aim: Recently, electroencephalogram neurofeedback (EEG‐NF), a non‐invasive neuromodulation technique, has shown promising potential in treating addiction disorders. However, the heterogeneity of clinical populations and research methodologies make it challenging to reach consistent conclusions regarding its efficacy. This meta‐analysis investigated the therapeutic effects of EEG‐NF on addiction disorders, including both substance and behavioral addictions. Methods: A systematic review was conducted in PubMed, Cochrane Library, Embase and Web of Science, including 17 randomized controlled trials (RCTs) published between 2000 and 2025 that utilized EEG‐NF for addiction treatment, with a total of 662 participants. Subgroup analyses were carried out based on addiction type and neurofeedback modality, alongside meta‐regression analyses considering publication year, sample size, age, sex, number of sessions and duration. Results: EEG‐NF statistically significantly alleviated addiction symptoms (Hedges'g = 0.85, P < 0.001), with stronger effects on substance addiction than behavioral addiction. Auditory feedback was the most effective modality, while audio‐visual feedback was less effective and visual feedback was the weakest. Despite significant heterogeneity, subgroup and meta‐regression analyses suggested that neurofeedback modalities and the number of neurofeedback sessions may be the primary factors influencing therapeutic efficacy. Conclusion: This systematic review and meta‐analysis provides robust evidence supporting the efficacy of electroencephalogram neurofeedback (EEG‐NF) in the treatment of addiction disorders, with particularly promising results for substance use disorders. Our findings underscore the critical need for protocol optimization, emphasizing both modality selection and careful dose–response calibration to maximize treatment outcomes. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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