ArticleDrug and alcohol dependence2015
Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse.
Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is the Construct of Relapse Heuristic, and Does It Advance Alcohol Use Disorder Clinical Practice?Journal of studies on alcohol and drugs · 2016Pooled it
- Stimulant-like subjective effects of alcohol are not related to resting-state connectivity in healthy men.Cerebral cortex (New York, N.Y. : 1991) · 2023Trial
- A History of Methamphetamine Use Disorder in People with HIV Is Associated with Altered Functional Response to Risky Choice.Viruses · 2026Article
- Early abstinence in severe alcohol use disorder: MCP-1 decline, choroid plexus shrinkage, and region-specific grey-matter volume changes.Translational psychiatry · 2026Article
- Weight gained during treatment predicts 6-month body mass index in a large sample of patients with anorexia nervosa using ensemble machine learning.The International journal of eating disorders · 2024Article
- Neural responses to reward, threat, and emotion regulation and transition to hazardous alcohol use.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Article
- Amphetamine use disorder is associated with striatum hypoactivation during anticipation of loss and reward.Journal of psychopharmacology (Oxford, England) · 2024Article
- Resting-state electroencephalography theta predicts neurofeedback treatment 4-month follow-up response in nicotine addiction.General psychiatry · 2023Article
- Sign-tracking modulates reward-related neural activation to reward cues, but not reward feedback.The European journal of neuroscience · 2022Article
- Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study.JMIR research protocols · 2021Article
- Better living through understanding the insula: Why subregions can make all the difference.Neuropharmacology · 2021Review
- Neuropsychosocial markers of binge drinking in young adults.Molecular psychiatry · 2021Article
- Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.Personality neuroscience · 2021Article
- Disturbances across whole brain networks during reward anticipation in an abstinent addiction population.NeuroImage. Clinical · 2020Article
- Identifying factors associated with opioid cessation in a biracial sample using machine learning.Exploration of medicine · 2020Article
- Substance Use Disorders and COVID-19: Multi-Faceted Problems Which Require Multi-Pronged Solutions.Frontiers in psychiatry · 2020Article
- What Difference Does it Make? Risk-Taking Behavior in Obesity after a Loss is Associated with Decreased Ventromedial Prefrontal Cortex Activity.Journal of clinical medicine · 2019Article
- Alterations in resting-state functional connectivity in substance use disorders and treatment implications.Progress in neuro-psychopharmacology & biological psychiatry · 2019Review
- The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder.Cognitive neuropsychiatry · 2019Article
- Bouncing back: Brain rehabilitation amid opioid and stimulant epidemics.NeuroImage. Clinical · 2019Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
backgroundNearly half of individuals with substance use disorders relapse in the year after treatment. A diagnostic tool to help clinicians make decisions regarding treatment does not exist for psychiatric conditions. Identifying individuals with high risk for relapse to substance use following abstinence has profound clinical consequences. This study aimed to develop neuroimaging as a robust tool to predict relapse.
methods68 methamphetamine-dependent adults (15 female) were recruited from 28-day inpatient treatment. During treatment, participants completed a functional MRI scan that examined brain activation during reward processing. Patients were followed 1 year later to assess abstinence. We examined brain activation during reward processing between relapsing and abstaining individuals and employed three random forest prediction models (clinical and personality measures, neuroimaging measures, a combined model) to generate predictions for each participant regarding their relapse likelihood.
results18 individuals relapsed. There were significant group by reward-size interactions for neural activation in the left insula and right striatum for rewards. Abstaining individuals showed increased activation for large, risky relative to small, safe rewards, whereas relapsing individuals failed to show differential activation between reward types. All three random forest models yielded good test characteristics such that a positive test for relapse yielded a likelihood ratio 2.63, whereas a negative test had a likelihood ratio of 0.48.
conclusionsThese findings suggest that neuroimaging can be developed in combination with other measures as an instrument to predict relapse, advancing tools providers can use to make decisions about individualized treatment of substance use disorders.
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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.