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时间决策相关的大脑状态可预测青少年药物滥用干预反应。

Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses.

机构信息

University of North Carolina at Chapel Hill, USA.

Geisel School of Medicine at Dartmouth College, USA.

出版信息

Neuroimage Clin. 2019;24:101968. doi: 10.1016/j.nicl.2019.101968. Epub 2019 Aug 5.

Abstract

Adolescent drug misuse represents a major risk factor for long-term drug use disorders. However, wide individual differences in responses to first-line behavioral therapies targeting adolescent drug misuse limit critical early intervention. Identifying the neural signatures of those adolescents most likely to respond to an intervention would potentially guide personalized strategies for reducing drug misuse. Prior to a 14-week evidence-based intervention involving combinations of contingency management, motivational enhancement, and cognitive behavioral therapy, thirty adolescent alcohol and/or cannabis users underwent fMRI while performing a reward delay discounting (DD) task tapping an addiction-related cognition. Intervention responses were longitudinally characterized by both urinalysis and self-report measures of the percentage of days used during treatment and in post-treatment follow-up. Group independent component analysis (ICA) of task fMRI data identified neural processing networks related to DD task performance. Separate measures of wholesale recruitment during immediate reward choices and within-network functional connectivity among selective networks significantly predicted intervention-related changes in drug misuse frequency. Specifically, heightened pre-intervention engagement of a temporal lobe "reward motivation" network for impulsive choices on the DD task predicted poorer intervention outcomes, while modes of functional connectivity within the reward motivation network, a prospection network, and a posterior insula network demonstrated robust associations with intervention outcomes. Finally, the pre-intervention functional organization of the prospection network also predicted post-intervention drug use behaviors for up to 6 months of follow-up. Multiple functional variations in the neural processing networks supporting preference for immediate and future rewards signal individual differences in readiness to benefit from an effective behavioral therapy for reducing adolescent drug misuse. The implications for efforts to boost therapy responses are discussed.

摘要

青少年药物滥用是导致长期药物使用障碍的主要危险因素。然而,针对青少年药物滥用的一线行为疗法的反应存在广泛的个体差异,限制了关键的早期干预。确定那些最有可能对干预措施做出反应的青少年的神经特征,可能有助于指导减少药物滥用的个性化策略。在进行一项为期 14 周的循证干预之前,该干预包括结合了强化管理、动机增强和认知行为疗法,三十名青少年酒精和/或大麻使用者在执行奖励延迟折扣(DD)任务时接受了 fMRI 检查,该任务涉及与成瘾相关的认知。干预反应通过尿液分析和治疗期间及治疗后随访期间使用天数的自我报告来进行纵向描述。任务 fMRI 数据的组独立成分分析(ICA)确定了与 DD 任务表现相关的神经处理网络。即时奖励选择过程中的整体募集和选择性网络内的功能连接的单独测量,显著预测了药物滥用频率的干预相关变化。具体而言,DD 任务冲动选择中颞叶“奖励动机”网络的预先干预参与度较高,预示着干预结果较差,而奖励动机网络、前瞻性网络和后岛叶网络内的功能连接模式与干预结果具有很强的关联。最后,前瞻性网络的预干预功能组织也预测了干预后的药物使用行为,最长可达 6 个月的随访期。支持即时和未来奖励偏好的神经处理网络的多种功能变化表明,个体对减少青少年药物滥用的有效行为疗法的准备程度存在差异。讨论了提高治疗反应的努力的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d99b/6699467/3fc94834da3f/ga1.jpg

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