在可卡因使用障碍中的差异性大规模网络功能连接与吸毒结果相关
Paul S Regier1, Nathan M Hager2, Michael Gawrysiak2,3
1Perelman School of Medicine, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA. pregier@pennmedicine.upenn.edu.
Scientific reports
|March 21, 2025
概括
在可卡因使用障碍 (CUD) 中的大脑网络差异是使用功能性MRI识别的. 突出网络和默认模式网络中的异常连接可能是CUD干预的关键目标.
科学领域:
- 神经科学是一个神经科学.
- 成研究 研究成研究
- 脑部成像 脑部成像
背景情况:
- 可卡因使用障碍 (CUD) 与大脑结构和功能的改变有关.
- 三重网络模型,包括突出 (SN),执行控制 (ECN) 和默认模式 (DMN) 网络,对于理解与成有关的大脑变化是有价值的.
- 休息状态功能连接 (rsFC) 的差异可能会将CUD患者与对照者区分开来,并与治疗结果相关联.
研究的目的:
- 调查CUD和健康对照 (CON) 个体之间的rsFC差异.
- 探索在CUD组中发现的rsFC差异与药物使用结果之间的关联.
- 确定特定的大脑网络,特别是前置默认模式网络 (aDMN),是否与CUD有关.
主要方法:
- 用功能磁共振成像 (fMRI) 来收集38名CUD和34名CONs患者的休息状态数据.
- 集团信息导向独立组件分析 (GIG-ICA) 和支持向量机器被用来分析三重网络和亚皮层连接.
- 开发了一个分类模型,以根据rsFC模式区分CUD和CON组.
主要成果:
- 分类器准确地区分了CUD和CON,准确度为77.1%,灵敏度为73.8%,特异性为80.0% (AUC=0.87).
- 与CONs相比,患有CUD的个体显示SN-aDMN和ECN-aDMN rsFC明显更强.
- CUD与皮下区域和三重网络之间的改变rsFC有关,通常以减少连接性为特征.
结论:
- 在三重网络和亚皮层区域内和之间异常的rsFC是CUD的特征.
- 前置默认模式网络 (aDMN) 在区分CUD和CON方面发挥着重要作用,可能是潜在的治疗目标.
- 与aDMN和rECN的状连接与CUD组中不同药物使用结果有关.
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