ArticleBrain and behavior2016
Brain potentials predict substance abuse treatment completion in a prison sample.
Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Using physiological biomarkers in forensic psychiatry: a scoping review.Frontiers in psychiatry · 2025Pooled it
- Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead.Neuroscience and biobehavioral reviews · 2019Pooled it
- Cortical Complexity Alterations in Methamphetamine, Cannabis, and Opioid Users: An EEG-Based Analysis.Journal of biomedical physics & engineering · 2026Article
- Article
- A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment.Frontiers in human neuroscience · 2022Article
- Treating cocaine and opioid use disorder with transcranial magnetic stimulation: A path forward.Pharmacology, biochemistry, and behavior · 2021Review
- Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.Personality neuroscience · 2021Article
- A Multimodal Neuroprosthetic Interface to Record, Modulate and Classify Electrophysiological Biomarkers Relevant to Neuropsychiatric Disorders.Frontiers in bioengineering and biotechnology · 2021Article
- Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020Review
- Biomarkers and neuromodulation techniques in substance use disorders.Bioelectronic medicine · 2020Review
- Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective.Frontiers in psychology · 2020Review
- Cognitive Training for Very High Risk Incarcerated Adolescent Males.Frontiers in psychiatry · 2020Article
- Forging Neuroimaging Targets for Recovery in Opioid Use Disorder.Frontiers in psychiatry · 2019Review
- Accelerated Intermittent Theta-Burst Stimulation as a Treatment for Cocaine Use Disorder: A Proof-of-Concept Study.Frontiers in neuroscience · 2019Article
- Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.NeuroImage. Clinical · 2019Article
- Bouncing back: Brain rehabilitation amid opioid and stimulant epidemics.NeuroImage. Clinical · 2019Review
- Toward an integrative perspective on the neural mechanisms underlying persistent maladaptive behaviors.The European journal of neuroscience · 2018Article
- Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2018Article
- Investigating error-related processing in incarcerated adolescents with self-report psychopathy measures.Biological psychology · 2018Article
- Event-Related Potentials as Biomarkers of Behavior Change Mechanisms in Substance Use Disorder Treatment.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
introductionNational estimates suggest that up to 80% of prison inmates meet diagnostic criteria for a substance use disorder. Because more substance abuse treatment while incarcerated is associated with better post-release outcomes, including a reduced risk of accidental overdose death, the stakes are high in developing novel predictors of substance abuse treatment completion in inmate populations.
methodsUsing electroencephalography (EEG), this study investigated stimulus-locked ERP components elicited by distractor stimuli in three tasks (VO-Distinct, VO-Repeated, Go/NoGo) as a predictor of treatment discontinuation in a sample of male and female prison inmates. We predicted that those who discontinued treatment early would exhibit a less positive P3a amplitude elicited by distractor stimuli.
resultsOur predictions regarding ERP components were partially supported. Those who discontinued treatment early exhibited a less positive P3a amplitude and a less positive PC4 in the VO-D task. In the VO-R task, however, those who discontinued treatment early exhibited a more negative N200 amplitude rather than the hypothesized less positive P3a amplitude. The discontinuation group also displayed less positive PC4 amplitude. Surprisingly, there were no time-domain or principle component differences among the groups in the Go/NoGo task. Support Vector Machine (SVM) models of the three tasks accurately classified individuals who discontinued treatment with the best model accurately classifying 75% of inmates. PCA techniques were more sensitive in differentiating groups than the classic time-domain windowed approach.
conclusionsOur pattern of findings are consistent with the context-updating theory of P300 and may help identify subtypes of ultrahigh-risk substance abusers who need specialized treatment programs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.