ArticleBiological psychiatry2024
Blunted Neurobehavioral Loss Anticipation Predicts Relapse to Stimulant Drug Use.
Article in Biological psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Females have shorter scalp-to-cortex distances and receive stronger TMS electrical fields: Implications for clinical treatment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Deconstructing neural predictors of risky choice.PNAS nexus · 2025Article
- Neural responses to reward, threat, and emotion regulation and transition to hazardous alcohol use.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Article
- Enhanced motor network engagement during reward gain anticipation in fibromyalgia.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Neural response to threat and reward among young adults at risk for alcohol use disorder.Addiction biology · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPatients with stimulant use disorder experience high rates of relapse. While neurobehavioral mechanisms involved in initiating drug use have been studied extensively, less research has focused on relapse.
methodsTo assess motivational processes involved in relapse and diagnosis, we acquired functional magnetic resonance imaging responses to nondrug (monetary) gains and losses in detoxified patients with stimulant use disorder (n = 68) and community control participants (n = 42). In a prospective multimodal design, we combined imaging of brain function, brain structure, and behavior to longitudinally track subsequent risk for relapse.
resultsAt the 6-month follow-up assessment, 27 patients remained abstinent, but 33 had relapsed. Patients with blunted anterior insula (AIns) activity during loss anticipation were more likely to relapse, an association that remained robust after controlling for potential confounds (i.e., craving, negative mood, years of use, age, and gender). Lower AIns activity during loss anticipation was associated with lower self-reported negative arousal to loss cues and slower behavioral responses to avoid losses, which also independently predicted relapse. Furthermore, AIns activity during loss anticipation was associated with the structural coherence of a tract connecting the AIns and the nucleus accumbens, as was functional connectivity between the AIns and nucleus accumbens during loss processing. However, these neurobehavioral responses did not differ between patients and control participants.
conclusionsTaken together, the results of the current study show that neurobehavioral markers predicted relapse above and beyond conventional self-report measures, with a cross-validated accuracy of 72.7%. These findings offer convergent multimodal evidence that implicates blunted avoidance motivation in relapse to stimulant use and may therefore guide interventions targeting individuals who are most vulnerable to relapse.
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