神经认知测量在成瘾中的临床相关性。
The clinical relevance of neurocognitive measures in addiction.
作者信息
Marhe Reshmi, Luijten Maartje, Franken Ingmar H A
机构信息
Institute of Psychology, Erasmus University Rotterdam , Rotterdam , Netherlands ; Department of Child and Adolescent Psychiatry, VU University Medical Center , Amsterdam , Netherlands.
Institute of Psychology, Erasmus University Rotterdam , Rotterdam , Netherlands ; Behavioural Science Institute, Radboud University Nijmegen , Nijmegen , Netherlands.
出版信息
Front Psychiatry. 2014 Jan 10;4:185. doi: 10.3389/fpsyt.2013.00185.
Abstract
One of the major challenges in addiction treatment is relapse prevention, as rates of relapse following treatment remain very high across the main classes of drugs of abuse. Relapse prevention could be improved by a better understanding of the factors that influence treatment outcomes, including better predictors of risk of relapse following treatment. Recent developments in cognitive neuroscience point to neurocognitive measures (i.e., brain-imaging measures during cognitive-task performance) as potential predictors of relapse. These might even be better predictors than self-report measures, such as craving. We first give an overview of the current state of the field, and then discuss the outstanding challenges and future directions in this area of research.
摘要
成瘾治疗的主要挑战之一是预防复发，因为在主要几类滥用药物中，治疗后的复发率仍然很高。通过更好地理解影响治疗结果的因素，包括治疗后复发风险的更好预测指标，可以改进复发预防。认知神经科学的最新进展指出，神经认知测量（即认知任务执行过程中的脑成像测量）是复发的潜在预测指标。这些指标甚至可能比自我报告测量（如渴望程度）更能准确预测复发。我们首先概述该领域的当前状况，然后讨论这一研究领域中尚未解决的挑战和未来方向。
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