Isik Ayse Ilkay, Naumer Marcus J, Kaiser Jochen, Buschenlange Christian, Wiesmann Sandro, Czoschke Stefan, Yalachkov Yavor
Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany; Institute of Medical Psychology, Goethe-University, Frankfurt am Main, Germany.
Institute of Medical Psychology, Goethe-University, Frankfurt am Main, Germany.
Neuroimage Clin. 2017 Jun 17;15:753-760. doi: 10.1016/j.nicl.2017.06.021. eCollection 2017.
In the later stages of addiction, automatized processes play a prominent role in guiding drug-seeking and drug-taking behavior. However, little is known about the neural correlates of automatized drug-taking skills and drug-related action knowledge in humans. We employed functional magnetic resonance imaging (fMRI) while smokers and non-smokers performed an orientation affordance task, where compatibility between the hand used for a behavioral response and the spatial orientation of a priming stimulus leads to shorter reaction times resulting from activation of the corresponding motor representations. While non-smokers exhibited this behavioral effect only for control objects, smokers showed the affordance effect for both control and smoking-related objects. Furthermore, smokers exhibited reduced fMRI activation for smoking-related as compared to control objects for compatible stimulus-response pairings in a sensorimotor brain network consisting of the right primary motor cortex, supplementary motor area, middle occipital gyrus, left fusiform gyrus and bilateral cingulate gyrus. In the incompatible condition, we found higher fMRI activation in smokers for smoking-related as compared to control objects in the right primary motor cortex, cingulate gyrus, and left fusiform gyrus. This suggests that the activation and performance of deeply embedded, automatized drug-taking schemata employ less brain resources. This might reduce the threshold for relapsing in individuals trying to abstain from smoking. In contrast, the interruption or modification of already triggered automatized action representations require increased neural resources.
在成瘾的后期阶段,自动化过程在引导觅药和服药行为中起着重要作用。然而,关于人类自动化服药技能和与药物相关的行动知识的神经关联,我们所知甚少。我们利用功能磁共振成像(fMRI)技术,让吸烟者和非吸烟者执行一项定向可供性任务,在该任务中,用于行为反应的手与启动刺激的空间方向之间的兼容性会因相应运动表征的激活而导致反应时间缩短。非吸烟者仅对控制对象表现出这种行为效应,而吸烟者对控制对象和与吸烟相关的对象均表现出可供性效应。此外,在由右侧初级运动皮层、辅助运动区、枕中回、左侧梭状回和双侧扣带回组成的感觉运动脑网络中,与控制对象相比,吸烟者在与吸烟相关的兼容刺激 - 反应配对中表现出fMRI激活减少。在不兼容的情况下,我们发现与控制对象相比,吸烟者在右侧初级运动皮层、扣带回和左侧梭状回中与吸烟相关的fMRI激活更高。这表明深度嵌入的自动化服药模式的激活和执行使用的大脑资源较少。这可能会降低试图戒烟的个体复吸的阈值。相反,对已经触发的自动化动作表征的中断或修改需要增加神经资源。