基于Connectome的预测建模可以预测阿片类药物使用障碍患者戒断后的后续渴望
Wenhan Yang1, Jungong Han2, Jing Luo3
1The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
General psychiatry
|January 3, 2024
概括
基于Connectome的预测建模准确地预测了在戒断期间患有阿片类药物使用障碍的人群的渴望变化. 已确定的大脑网络为未来的成治疗提供了目标.
科学领域:
- 神经科学是一个神经科学.
- 成研究 研究成研究
- 精神病学是一个精神病学.
背景情况:
- 戒断后阿片类药物使用障碍 (OUD) 康复的个体差异值得注意.
- 神经成像预测模型显示,对物质使用障碍 (SUD) 的个人预后有前途.
研究的目的:
- 评估神经成像生物标志物,以预测阿片类药物使用者对长期戒断的个人反应.
- 为此评估使用基于连接组的预测建模 (CPM).
主要方法:
- 一项前性队列研究,涉及108名OUD住院患者.
- 基线时的结构性和功能性MRI扫描,基线时的海洛因渴望问卷 (HCQ) 和8个月的随访.
- 采用CPM和leave-one-out交叉验证来预测HCQ分数和变化,在单独的SUD样本中进行验证.
主要成果:
- 在戒断期间,CPM成功预测了渴望变化 (HCQ随访:r=0.417,p<0.001;HCQ变化:r=0.334,p=0.002).
- 关键的预测网络包括体力运动,突出,默认模式和正面-对面网络.
- 特定的连接模式 (例如,FPN-SMN,SCN-DMN) 与渴望水平相关.
结论:
- CPM可以预测禁酒后的渴望水平,并证明了可概括性.
- 已确定的大脑网络代表了在成治疗中的新型治疗干预措施的潜在目标.
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