Intra-striatal dopaminergic inter-subject covariance in social drinkers and non-treatment-seeking alcohol use disorder participants

IF 3.1 3区 医学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Addiction Biology Pub Date : 2024-11-22 DOI:10.1111/adb.70008
Evgeny J. Chumin, Mario Dzemidzic, Karmen K. Yoder
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Abstract

One of the neurobiological correlates of alcohol use disorder (AUD) is the disruption of striatal dopaminergic function. Although regional differences in dopamine (DA) tone/function have been well studied, interregional relationships (represented as inter-subject covariance) have not been investigated and may offer a novel avenue for understanding DA tone. Positron emission tomography (PET) data with [11C]raclopride in 22 social drinking controls and 17 AUD participants were used to generate group-level striatal covariance (partial Pearson correlation) networks, which were compared edgewise as well as on global network metrics and community structure. An exploratory analysis examined the impact of tobacco cigarette use status. Striatal covariance was validated in an independent publicly available [18F]fallypride PET sample of healthy volunteers. Striatal covariance of control participants from both data sets showed a clear bipartition of the network into two distinct communities, one in the anterior and another in the posterior striatum. This organization was disrupted in the AUD participants' network, which showed significantly lower network metrics compared with the control participants' network. Stratification by cigarette use suggests differential consequences on group covariance networks. This work demonstrates that network neuroscience can quantify group differences in striatal DA and that its interregional interactions offer new insight into the consequences of AUD.

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社交饮酒者和不寻求治疗的酒精使用障碍参与者的纹状体内多巴胺能受试者间协方差。
酒精使用障碍(AUD)的神经生物学相关因素之一是纹状体多巴胺能功能的破坏。虽然多巴胺(DA)调节/功能的区域差异已经得到了很好的研究,但区域间的关系(表现为受试者间的协方差)尚未得到研究,而这可能为了解多巴胺调节提供了一个新的途径。利用正电子发射断层扫描(PET)数据对 22 名社会饮酒对照组和 17 名 AUD 参与者进行了[11C]raclopride 分析,生成了组级纹状体协方差(部分皮尔逊相关性)网络,并对其边缘以及全局网络指标和群落结构进行了比较。一项探索性分析研究了吸烟状况的影响。纹状体协方差在独立公开的健康志愿者[18F]呋喃肽 PET 样本中得到了验证。两组数据中对照组参与者的纹状体协方差显示,网络明显分为两个不同的群落,一个位于前纹状体,另一个位于后纹状体。这种组织结构在澳大拉德参与者的网络中被破坏,与对照组参与者的网络相比,澳大拉德参与者的网络指标明显较低。根据吸烟情况进行分层表明,这对群体协方差网络产生了不同的影响。这项研究表明,网络神经科学可以量化纹状体DA的群体差异,其区域间的相互作用为了解AUD的后果提供了新的视角。
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来源期刊
Addiction Biology
Addiction Biology 生物-生化与分子生物学
CiteScore
8.10
自引率
2.90%
发文量
118
审稿时长
6-12 weeks
期刊介绍: Addiction Biology is focused on neuroscience contributions and it aims to advance our understanding of the action of drugs of abuse and addictive processes. Papers are accepted in both animal experimentation or clinical research. The content is geared towards behavioral, molecular, genetic, biochemical, neuro-biological and pharmacology aspects of these fields. Addiction Biology includes peer-reviewed original research reports and reviews. Addiction Biology is published on behalf of the Society for the Study of Addiction to Alcohol and other Drugs (SSA). Members of the Society for the Study of Addiction receive the Journal as part of their annual membership subscription.
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