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成瘾中注意力偏向的神经相关物。

Neural correlates of attentional bias in addiction.

机构信息

1School of Psychological Sciences,University of Melbourne,Melbourne,Victoria,Australia.

2Institute of Psychology,Erasmus University Rotterdam,Rotterdam,The Netherlands.

出版信息

CNS Spectr. 2014 Jun;19(3):231-8. doi: 10.1017/S1092852913000473. Epub 2013 Aug 6.

Abstract

A small but growing neuroimaging literature has begun to examine the neural mechanisms underlying the difficulty that substance-use dependent (SUD) groups have with ignoring salient, drug-related stimuli. Drug-related attentional bias appears to implicate the countermanding forces of cognitive control and reward salience. Basic cognitive neuroscience research suggests that ignoring emotionally evocative stimuli in our environment requires both up-regulation of control networks and down-regulation of processing in emotion and reward regions. Research to date suggests that attentional biases for drug-related stimuli emerge from a failure to sufficiently increase control of attention over salient, but task-irrelevant stimuli. While SUD samples have typically shown increased activity in the cognitive control regions (ie, lateral prefrontal and dorsal anterior cingulate), during attentional bias such increases appear to have been insufficient for the concomitant increases in processing by the emotion/reward regions (ie, amygdala, insula, and striatum). Given the potential contribution of attentional biases to perpetuating drug use and the development of interventions (both pharmaceutical and cognitive-behavioral) to treat biases, understanding the neural basis of successfully reducing bias remains an important, but as yet unanswered, question for our field.

摘要

越来越多的神经影像学研究开始探究物质使用障碍(SUD)人群难以忽视明显的与药物相关刺激的神经机制。与药物相关的注意力偏向似乎涉及认知控制和奖励显著性的相互制衡。基础认知神经科学研究表明,忽视我们环境中情感唤起的刺激需要同时上调控制网络,并下调情绪和奖励区域的处理。迄今为止的研究表明,对与药物相关的刺激的注意力偏向源于对显著但与任务无关的刺激的注意力控制不足。虽然 SUD 样本通常在认知控制区域(即外侧前额叶和背侧前扣带回)显示出增加的活动,但在注意力偏向期间,这种增加似乎不足以伴随情绪/奖励区域(即杏仁核、脑岛和纹状体)的处理增加。鉴于注意力偏向可能对持续使用药物和治疗偏向的干预措施(包括药物和认知行为)有潜在贡献,了解成功减少偏向的神经基础仍然是我们领域的一个重要但尚未回答的问题。

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