University of Bordeaux, INCIA, UMR 5287, F-33000 Bordeaux, France; CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France.
Neurobiol Dis. 2013 Nov;59:220-9. doi: 10.1016/j.nbd.2013.07.012. Epub 2013 Jul 30.
Among current theories of addiction, hedonic homeostasis dysregulation predicts that the brain reward systems, particularly the mesolimbic dopamine system, switch from a physiological state to a new "set point." In opiate addiction, evidence show that the dopamine system principal targets, prefrontal cortex (PFC), nucleus accumbens (NAC) and basolateral amygdala complex (BLA) also adapt to repeated drug stimulation. Here we investigated the impact of chronic morphine on the dynamics of the network of these three interconnected structures. For that purpose we performed simultaneous electrophysiological recordings in freely-moving rats subcutaneously implanted with continuous-release morphine pellets. Chronic morphine produced a shift in the network state underpinned by changes in Delta and Gamma oscillations in the LFP of PFC, NAC and BLA, in correlation to behavioral changes. However despite continuous stimulation by the drug, an apparent normalization of the network activity and state occurred after 2 days indicating large scale adaptations. Blockade of μ opioid receptors was nonetheless sufficient to disrupt this acquired new stability in morphine-dependent animals. In line with the homeostatic dysregulation theory of addiction, our study provides original direct evidence that the PFC-NAC-BLA network of the dependent brain is characterized by a de novo balance for which the drug of abuse becomes the main contributor.
在当前的成瘾理论中,享乐性平衡失调理论预测大脑奖励系统,特别是中脑边缘多巴胺系统,会从生理状态转变为新的“设定点”。在阿片类药物成瘾中,有证据表明,多巴胺系统的主要靶点,前额叶皮层(PFC)、伏隔核(NAC)和基底外侧杏仁核复合体(BLA),也会对反复的药物刺激产生适应性。在这里,我们研究了慢性吗啡对这三个相互连接的结构网络动态的影响。为此,我们在皮下植入持续释放吗啡丸的自由活动大鼠中进行了同时的电生理记录。慢性吗啡产生了网络状态的转变,这是由 PFC、NAC 和 BLA 的 LFP 中的 Delta 和 Gamma 振荡变化引起的,与行为变化相关。然而,尽管药物持续刺激,但在 2 天后,网络活动和状态明显出现正常化,表明存在大规模的适应。然而,μ 阿片受体的阻断足以破坏吗啡依赖动物获得的这种新稳定性。与成瘾的平衡失调理论一致,我们的研究提供了原始的直接证据,表明依赖大脑的 PFC-NAC-BLA 网络的特征是新的平衡,而滥用药物成为主要贡献者。