ReviewProgress in neuro-psychopharmacology & biological psychiatry2018
Toward biomarkers of the addicted human brain: Using neuroimaging to predict relapse and sustained abstinence in substance use disorder.
Review in Progress in neuro-psychopharmacology & biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 6 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
63 citing papers in PubMed, 6 syntheses or guidelines pooled it, 118 citations in OpenAlex.
- Threats to external validity in the neuroprediction of substance use treatment outcomes.The American journal of drug and alcohol abuse · 2023Pooled it
- The brain in social context: A systematic review of substance use and social processing from adolescence to young adulthood.Developmental cognitive neuroscience · 2022Pooled it
- Structural and functional brain recovery in individuals with substance use disorders during abstinence: A review of longitudinal neuroimaging studies.Drug and alcohol dependence · 2022Pooled it
- Neural reward circuit dysfunction as a risk factor for bipolar spectrum disorders and substance use disorders: A review and integration.Clinical psychology review · 2021Pooled it
- Structural and Functional Neural Targets of Addiction Treatment in Adolescents and Young Adults: A Systematic Review and Meta-Analysis.Journal of child and adolescent psychopharmacology · 2019Pooled it
- Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Pooled it
- Predicting IGD treatment outcomes across interventions using a whole-brain functional connectome biomarker.Dialogues in clinical neuroscience · 2027Trial
- Cortical and subcortical microstructure integrity changes after repetitive transcranial magnetic stimulation therapy in cocaine use disorder and relates to clinical outcomes.Addiction biology · 2024Trial
- Personalized prediction of treatment response during the acute phase of schizophrenia based on the connectome-based predictive model.European archives of psychiatry and clinical neuroscience · 2026Article
- Electrophysiology and Functional Magnetic Resonance Imaging of Cue Craving: Potential Biomarkers for Therapeutic Neuromodulation in Addiction.Biological psychiatry global open science · 2026Review
- Investigating hierarchical control among functional networks disrupted by opioid use disorder using effective connectivity.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Magnetic Resonance Imaging Textural Changes Are More Sensitive Than Volumetric Changes in the Amygdala of Cocaine Use Disorder Patients.NMR in biomedicine · 2026Article
- Modification of inhibitory control and craving through transcranial direct current stimulation as an add-on treatment for substance use disorder: protocol for a randomized controlled study.BMC psychology · 2025Article
- Brain structural magnetic resonance imaging predictors of brief intervention response in individuals with alcohol use disorder.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Article
- Cognitive Dysfunction in the Addictions (CDiA): protocol for a neuron-to-neighbourhood collaborative research program.Frontiers in psychiatry · 2025Article
- Emerging neuromodulation treatments for opioid and stimulant use disorders.Frontiers in human neuroscience · 2025Review
- Frontal White Matter Changes and Craving Recovery in Inpatients With Heroin Use Disorder.JAMA network open · 2024Article
- Neuroimaging Biomarkers in Addiction.medRxiv : the preprint server for health sciences · 2024Article
- FRONTAL WHITE MATTER CHANGES INDICATE RECOVERY WITH INPATIENT TREATMENT IN HEROIN ADDICTION.medRxiv : the preprint server for health sciences · 2024Article
- Non-local diffusion-based biomarkers in patients with cocaine use disorder.Neuroimage. Reports · 2024Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The ability to predict relapse is a major goal of drug addiction research. Clinical and diagnostic measures are useful in this regard, but these measures do not fully and consistently identify who will relapse and who will remain abstinent. Neuroimaging approaches have the potential to complement these standard clinical measures to optimize relapse prediction. The goal of this review was to survey the existing drug addiction literature that either used a baseline functional or structural neuroimaging phenotype to longitudinally predict a clinical outcome, or that examined test-retest of a neuroimaging phenotype during a course of abstinence or treatment. Results broadly suggested that, relative to individuals who sustained abstinence, individuals who relapsed had (1) enhanced activation to drug-related cues and rewards, but reduced activation to non-drug-related cues and rewards, in multiple corticolimbic and corticostriatal brain regions; (2) weakened functional connectivity of these same corticolimbic and corticostriatal regions; and (3) reduced gray and white matter volume and connectivity in prefrontal regions. Thus, beyond these regions showing baseline group differences, reviewed evidence indicates that function and structure of these regions can prospectively predict - and normalization of these regions can longitudinally track - important clinical outcomes including relapse and adherence to treatment. Future clinical studies can leverage this information to develop novel treatment strategies, and to tailor scarce therapeutic resources toward individuals most susceptible to relapse.
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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.