ArticleDialogues in clinical neuroscience2023
Connectome-based prediction of craving in gambling disorder and cocaine use disorder.
Article in Dialogues in clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Connectome-based encoding of subjective drug responses to acute oral methamphetamine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Trial
- Efficacy and Neural Mechanisms of Mindfulness Meditation Among Adults With Internet Gaming Disorder: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Functional Brain Network Predictors of Abstinence Treatment Outcomes in Methamphetamine Use Disorder.CNS neuroscience & therapeutics · 2026Article
- Connectome-based predictive modelling of problematic gaming in youth from the ABCD study.Journal of behavioral addictions · 2026Article
- Connectome-based prediction of problematic use of social media in adolescents: Findings from the ABCD study.NeuroImage · 2026Article
- Predicting individual incubation of opioid craving by whole-brain functional connectivity.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Reinstating motivational states: Electrical signatures of craving and neural mind reading.PloS one · 2026Article
- Craving as a transdiagnostic marker of addiction? A perspective for behavioral addictions.Frontiers in behavioral neuroscience · 2026Article
- Craving Prediction From fMRI Drug Cue Reactivity in Methamphetamine Use Disorder: A Parsimonious Neurobiological Model.Brain and behavior · 2025Article
- Mindfulness meditation reduces symptoms and modulates neural circuitry in comorbid internet gaming disorder and depression.PNAS nexus · 2025Article
- Cocaine Cues Used in Experimental Research: A Systematic Review.Brain sciences · 2025Review
- Recommendations for Diagnosing and Quantifying treatment outcomes in clinical trials of compulsive sexual behavior disorder.Addictive behaviors reports · 2025Review
- Network state dynamics underpin basal craving in a transdiagnostic population.Molecular psychiatry · 2025Article
- The Neurocircuitry of Substance Use Disorder, Treatment, and Change: A Resource for Clinical Psychiatrists.The American journal of psychiatry · 2024Review
- Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods.Journal of behavioral addictions · 2024Review
- Intrinsic connectivity demonstrates a shared role of the posterior cingulate for cue reactivity in both gambling and cocaine use disorders.Addictive behaviors · 2024Article
- Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking.Brain sciences · 2024Article
- Network state dynamics underpin craving in a transdiagnostic population.medRxiv : the preprint server for health sciences · 2023Article
- Bidirectional connectivity alterations in schizophrenia: a multivariate, machine-learning approach.Frontiers in psychiatry · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
introductionCraving, involving intense and urgent desires to engage in specific behaviours, is a feature of addictions. Multiple studies implicate regions of salience/limbic networks and basal ganglia, fronto-parietal, medial frontal regions in craving in addictions. However, prior studies have not identified common neural networks that reliably predict craving across substance and behavioural addictions.
methodsFunctional magnetic resonance imaging during an audiovisual cue-reactivity task and connectome-based predictive modelling (CPM), a data-driven method for generating brain-behavioural models, were used to study individuals with cocaine-use disorder and gambling disorder. Functions of nodes and networks relevant to craving were identified and interpreted based on meta-analytic data.
resultsCraving was predicted by neural connectivity across disorders. The highest degree nodes were mostly located in the prefrontal cortex. Overall, the prediction model included complex networks including motor/sensory, fronto-parietal, and default-mode networks. The decoding revealed high functional associations with components of memory, valence ratings, physiological responses, and finger movement/motor imagery.
conclusionsCraving could be predicted across substance and behavioural addictions. The model may reflect general neural mechanisms of craving despite specificities of individual disorders. Prefrontal regions associated with working memory and autobiographical memory seem important in predicting craving. For further validation, the model should be tested in diverse samples and contexts.
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