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预测兴奋剂依赖的治疗结果。

Predicting treatment outcome in stimulant dependence.

作者信息

Reske Martina, Paulus Martin P

机构信息

Department of Psychiatry, University of California San Diego, La Jolla, CA92037-0985, USA.

出版信息

Ann N Y Acad Sci. 2008 Oct;1141:270-83. doi: 10.1196/annals.1441.011.

DOI:10.1196/annals.1441.011
PMID:18991963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2757631/
Abstract

The purpose of this review is to highlight some of the issues that need to be addressed to optimally use functional neuroimaging as a clinical tool to predict outcomes in substance use disorders. First, the importance of recognizing the clinical heterogeneity of the substance use disorders population is highlighted. We also emphasize that empirical and theoretical analyses support the idea that the courses of substance use disorders are relatively independent of the types of substance being used. Second, various approaches to the measurement and characterization of the longitudinal courses of substance use disorders are summarized. Third, predictors of outcomes are reviewed and their limitations are discussed. Within this context, we describe aspects of our work that focus on using functional magnetic resonance imaging to predict outcomes. Fourth, we discuss future directions, critical experiments, and the utility of functional neuroimaging as a clinical tool.

摘要

本综述的目的是强调一些为了将功能神经影像学作为预测物质使用障碍预后的临床工具而需要解决的问题。首先,强调了认识物质使用障碍人群临床异质性的重要性。我们还强调,实证和理论分析支持这样一种观点,即物质使用障碍的病程相对独立于所使用物质的类型。其次,总结了测量和描述物质使用障碍纵向病程的各种方法。第三,回顾了预后的预测因素并讨论了其局限性。在此背景下,我们描述了我们工作中专注于使用功能磁共振成像来预测预后的方面。第四,我们讨论了未来的方向、关键实验以及功能神经影像学作为临床工具的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/2757631/693c757cef85/nihms58442f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/2757631/693c757cef85/nihms58442f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/2757631/693c757cef85/nihms58442f1.jpg

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本文引用的文献

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Nine-year psychiatric trajectories and substance use outcomes: an application of the group-based modeling approach.九年的精神病发展轨迹与物质使用结果:基于群体建模方法的应用
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