Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
Neuroscience and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada.
Biol Psychiatry. 2023 Sep 1;94(5):393-404. doi: 10.1016/j.biopsych.2023.01.018. Epub 2023 Feb 1.
High-level alcohol consumption causes neuroplastic changes in the brain that promote pathological drinking behavior. Some of these changes have been characterized in defined brain circuits and cell types, but unbiased approaches are needed to explore broader patterns of adaptations.
We used whole-brain c-Fos mapping and network analysis to assess patterns of neuronal activity during alcohol withdrawal and following reaccess in a well-characterized model of alcohol dependence. Mice underwent 4 cycles of chronic intermittent ethanol to increase voluntary alcohol consumption, and a subset underwent forced swim stress to further escalate consumption. Brains were collected either 24 hours (withdrawal) or immediately following a 1-hour period of alcohol reaccess. c-fos counts were obtained for 110 brain regions using iDISCO and ClearMap. Then, we classified mice as high or low drinkers and used graph theory to identify changes in network properties associated with high-drinking behavior.
During withdrawal, chronic intermittent ethanol mice displayed widespread increased c-Fos expression relative to air-exposed mice, independent of forced swim stress. Reaccess drinking reversed this increase. Network modularity, a measure of segregation into communities, was increased in high-drinking mice after alcohol reaccess relative to withdrawal. The cortical amygdala showed increased cross-community coactivation during withdrawal in high-drinking mice, and cortical amygdala silencing in chronic intermittent ethanol mice reduced voluntary drinking.
Alcohol withdrawal in dependent mice causes changes in brain network organization that are attenuated by reaccess drinking. Olfactory brain regions, including the cortical amygdala, drive some of these changes and may play an important but underappreciated role in alcohol dependence.
大量饮酒会导致大脑发生神经可塑性变化,从而促进病理性饮酒行为。这些变化中的一些已经在特定的大脑回路和细胞类型中得到了描述,但需要采用无偏倚的方法来探索更广泛的适应模式。
我们使用全脑 c-Fos 映射和网络分析来评估在一种经过充分研究的酒精依赖模型中,酒精戒断期间和重新摄入酒精后大脑神经元活动的模式。小鼠经历了 4 个周期的慢性间歇性乙醇处理,以增加自愿饮酒量,其中一部分小鼠接受强迫游泳应激以进一步增加饮酒量。在 24 小时(戒断)或重新摄入酒精 1 小时后收集大脑。使用 iDISCO 和 ClearMap 获得了 110 个脑区的 c-fos 计数。然后,我们将小鼠分为高饮酒组和低饮酒组,并使用图论来识别与高饮酒行为相关的网络特性变化。
在戒断期间,慢性间歇性乙醇处理的小鼠与空气暴露的小鼠相比,表现出广泛的 c-Fos 表达增加,而不受强迫游泳应激的影响。重新摄入酒精会逆转这种增加。网络模块性,即社区之间隔离的度量,在重新摄入酒精后,高饮酒组的小鼠网络中有所增加。在高饮酒组的小鼠中,戒断期间皮质杏仁核显示出跨社区的协同激活增加,而慢性间歇性乙醇处理的小鼠中皮质杏仁核的沉默减少了自愿饮酒。
依赖小鼠的酒精戒断会导致大脑网络组织发生变化,而重新摄入酒精会减轻这些变化。嗅觉脑区,包括皮质杏仁核,驱动了其中的一些变化,并且可能在酒精依赖中发挥着重要但未被充分认识的作用。