Abstract：
BACKGROUND: Heavy alcohol use and its associated conditions, such as alcohol use disorder, impact millions of individuals worldwide. While our understanding of the neurobiological correlates of alcohol use has evolved substantially, we still lack models that incorporate whole-brain neuroanatomical, functional, and pharmacological information under one framework.
METHODS: Here, we utilized diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in 130 individuals with a high amount of current alcohol use. We compared these alcohol-using individuals to 308 individuals with minimal use of any substances.
RESULTS: We found that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Furthermore, using separately acquired positron emission tomography data, we deployed an in silico evaluation demonstrating that decreased D2 receptor levels, as found previously in individuals with alcohol use disorder, may relate to our observed findings.
CONCLUSIONS: This work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of heavy alcohol use.
METHODS: Here, we utilized diffusion and functional magnetic resonance imaging to investigate alterations to brain dynamics in 130 individuals with a high amount of current alcohol use. We compared these alcohol-using individuals to 308 individuals with minimal use of any substances.
RESULTS: We found that individuals with heavy alcohol use had less dynamic and complex brain activity, and through leveraging network control theory, had increased control energy to complete transitions between activation states. Furthermore, using separately acquired positron emission tomography data, we deployed an in silico evaluation demonstrating that decreased D2 receptor levels, as found previously in individuals with alcohol use disorder, may relate to our observed findings.
CONCLUSIONS: This work demonstrates that whole-brain, multimodal imaging information can be combined under a network control framework to identify and evaluate neurobiological correlates and mechanisms of heavy alcohol use.
摘要：
背景：重度饮酒（HAU）及其相关条件，如酒精使用障碍（AUD），影响全球数百万人。虽然我们对酒精使用的神经生物学相关性的理解已经有了很大的发展，我们仍然缺乏结合全脑神经解剖学的模型，功能，和药理学信息在一个框架下。
方法：这里，我们利用弥散和功能磁共振成像来研究N=130名当前酒精使用量较高的个体的脑动力学改变。我们将这些使用酒精的个体与N=308个个体进行了比较，其中使用了最少的任何物质。
结果：我们发现患有HAU的个体的动态和复杂的大脑活动较少，通过利用网络控制理论，增加了控制能量以完成激活状态之间的转换。Further,使用单独获取的正电子发射断层扫描(PET)数据，我们进行了计算机评估，证明D2受体水平降低，正如以前在AUD个体中发现的那样，可能与我们观察到的发现有关。
结论：这项工作表明，全脑，多模态成像信息可以在网络控制框架下组合，以识别和评估重度酒精使用的神经生物学相关性和机制。
方法：这里，我们利用弥散和功能磁共振成像来研究N=130名当前酒精使用量较高的个体的脑动力学改变。我们将这些使用酒精的个体与N=308个个体进行了比较，其中使用了最少的任何物质。
结果：我们发现患有HAU的个体的动态和复杂的大脑活动较少，通过利用网络控制理论，增加了控制能量以完成激活状态之间的转换。Further,使用单独获取的正电子发射断层扫描(PET)数据，我们进行了计算机评估，证明D2受体水平降低，正如以前在AUD个体中发现的那样，可能与我们观察到的发现有关。
结论：这项工作表明，全脑，多模态成像信息可以在网络控制框架下组合，以识别和评估重度酒精使用的神经生物学相关性和机制。
