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快感缺失预测药物成瘾者复吸的研究进展

Blunted Neurobehavioral Loss Anticipation Predicts Relapse to Stimulant Drug Use.

机构信息

Department of Psychology, Stanford University, Palo Alto, California.

Department of Psychology, Stanford University, Palo Alto, California.

出版信息

Biol Psychiatry. 2024 Feb 1;95(3):256-265. doi: 10.1016/j.biopsych.2023.07.020. Epub 2023 Aug 9.

Abstract

BACKGROUND

Patients 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.

METHODS

To 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.

RESULTS

At 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.

CONCLUSIONS

Taken 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.

摘要

背景

患有兴奋剂使用障碍的患者复发率很高。虽然已经广泛研究了涉及开始使用药物的神经行为机制,但对复发的研究较少。

方法

为了评估与复发和诊断相关的动机过程,我们获取了已戒除兴奋剂使用障碍的患者(n=68)和社区对照参与者(n=42)在接受非药物(货币)收益和损失时的功能性磁共振成像响应。在前瞻性多模态设计中,我们结合脑功能、脑结构和行为成像,对随后的复发风险进行纵向跟踪。

结果

在 6 个月的随访评估中,27 名患者保持戒断,但 33 名患者复发。在预期损失期间,前岛叶(AIns)活动减弱的患者更有可能复发,这种关联在控制潜在混杂因素(即渴望、负面情绪、使用年限、年龄和性别)后仍然很强烈。在预期损失期间,AIns 活动减少与对损失线索的自我报告负面唤醒减少以及避免损失的行为反应较慢有关,这也独立预测了复发。此外,在预期损失期间,AIns 活动与连接 AIns 和伏隔核的束的结构连贯性有关,在损失处理过程中,AIns 和伏隔核之间的功能连接也是如此。然而,这些神经行为反应在患者和对照组之间没有差异。

结论

综上所述,当前研究的结果表明,神经行为标志物预测复发的准确性高于传统的自我报告测量,交叉验证的准确性为 72.7%。这些发现提供了收敛的多模态证据,表明在兴奋剂使用复发中存在回避动机减弱,因此可能指导针对最容易复发的个体的干预措施。

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