ArticleGeneral psychiatry2023
Connectome-based predictive modelling can predict follow-up craving after abstinence in individuals with opioid use disorders.
Article in General psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 11 citations in OpenAlex.
- Longitudinal brain dynamics and prediction of craving changes in individuals with methamphetamine use disorder.Translational psychiatry · 2026Article
- Blunted modulation of hierarchical brain organization in opioid use disorder.Research square · 2026Article
- Functional Brain Network Predictors of Abstinence Treatment Outcomes in Methamphetamine Use Disorder.CNS neuroscience & therapeutics · 2026Article
- Investigating Bidirectional Causal Relationships Between Imaging-Derived Brain Phenotypes and Sedative-Hypnotic Use Disorder: A Mendelian Randomization Study.Addiction biology · 2026Article
- Connectome-based predictive modelling of problematic gaming in youth from the ABCD study.Journal of behavioral addictions · 2026Article
- The effect of 6 Hz transcranial alternating current stimulation over the prefrontal cortex on reward learning in men with methamphetamine use disorder: A pilot randomised double-blind trial.General psychiatry · 2026Article
- Brain network segregation is associated with drug use severity in individuals with opioid use disorder.Drug and alcohol dependence · 2025Article
- Altered resting-state network connectivity in internet gaming disorder.Annals of general psychiatry · 2025Article
- Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods.Journal of behavioral addictions · 2024Review
- Stress and substance use disorders: risk, relapse, and treatment outcomes.The Journal of clinical investigation · 2024Review
- An electroencephalography connectome predictive model of craving for methamphetamine.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for individual-level prognosis based on neuroimage data in substance use disorders (SUD). Aims: This prospective cohort study aimed to assess neuroimaging biomarkers for individual response to protracted abstinence in opioid users using connectome-based predictive modelling (CPM). Methods: One hundred and eight inpatients with OUD underwent structural and functional magnetic resonance imaging (fMRI) scans at baseline. The Heroin Craving Questionnaire (HCQ) was used to assess craving levels at baseline and at the 8-month follow-up of abstinence. CPM with leave-one-out cross-validation was used to identify baseline networks that could predict follow-up HCQ scores and changes in HCQ (HCQ Results: CPM could predict craving changes induced by long-term abstinence, as shown by a significant correlation between predicted and actual HCQ Conclusions: These findings highlight the potential applications of CPM to predict the craving level of individuals after protracted abstinence, as well as the generalisation ability; the identified brain networks might be the focus of innovative therapies in the future.
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.