Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Drug Alcohol Depend. 2024 Sep 1;262:111405. doi: 10.1016/j.drugalcdep.2024.111405. Epub 2024 Jul 26.
Cannabis is commonly used in the United States. However, chronic cannabis use has been linked to alterations in white matter (WM) integrity. Studies investigating WM in people who use cannabis (PWC) have produced varying results, which may be due to a variety of factors, including a focus on individual WM tracts. Here, we examined WM connectivity using a module-based approach to help clarify whether cannabis use is associated with differences in WM organization.
Connectomics is used to map complex networks of inter and intra-connected cortical and subcortical regions. A key concept of brain organization is the presence of groups of densely interconnected regions, referred to as modules. Here, we used WM structural connectivity estimates to compare connectome organization between adults who used cannabis regularly (n=53), and adults who did not use cannabis (n=60). We quantified aspects of network organization both across the whole brain and within specific modules.
There were no significant results between groups after correcting for multiple comparisons for whole-brain metrics. When considering group differences in network organization metrics for 10 identified modules, we observed that adult PWC showed higher within-module degree, local efficiency, and network strength in a right subcortical module relative to adults that did not use cannabis.
These results suggest that cannabis use in adults is associated with alterations of subcortical WM network organization. The observed differences in WM organization may be due to the involvement of the endocannabinoid system in the alteration of WM growth processes.
大麻在美国被广泛使用。然而,慢性大麻使用与脑白质(WM)完整性的改变有关。研究表明,使用大麻的人(PWC)的 WM 存在差异,但结果不一,这可能是由于多种因素所致,包括对个体 WM 束的关注。在这里,我们使用基于模块的方法来检查 WM 连接性,以帮助澄清大麻使用是否与 WM 组织的差异有关。
连接组学用于绘制皮质和皮质下区域之间相互连接和内部连接的复杂网络。大脑组织的一个关键概念是存在大量密集连接的区域组,称为模块。在这里,我们使用 WM 结构连接估计来比较经常使用大麻的成年人(n=53)和不使用大麻的成年人(n=60)之间的连接组组织。我们量化了整个大脑和特定模块内网络组织的各个方面。
在对全脑指标进行多次比较校正后,两组之间没有显著差异。当考虑到 10 个识别模块的网络组织指标的组间差异时,我们观察到与不使用大麻的成年人相比,成年 PWC 在一个右侧皮质下模块中表现出更高的模块内度、局部效率和网络强度。
这些结果表明,成年人使用大麻与皮质下 WM 网络组织的改变有关。WM 组织的观察到的差异可能是由于内源性大麻素系统参与了 WM 生长过程的改变。