School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
The Affiliated Kangning Hospital of Wenzhou Medical University, Zhejiang Provincial Clinical Research Center for Mental Disorder, Wenzhou, 325007, China.
Transl Psychiatry. 2024 Jan 20;14(1):45. doi: 10.1038/s41398-024-02764-8.
Heavy cannabis use (HCU) exerts adverse effects on the brain. Structural covariance networks (SCNs) that illustrate coordinated regional maturation patterns are extensively employed to examine abnormalities in brain structure. Nevertheless, the unexplored aspect remains the developmental alterations of SCNs in young adults with HCU for three years, from the baseline (BL) to the 3-year follow-up (FU). These changes demonstrate dynamic development and hold potential as biomarkers. A total of 20 young adults with HCU and 22 matched controls were recruited. All participants underwent magnetic resonance imaging (MRI) scans at both the BL and FU and were evaluated using clinical measures. Both groups used cortical thickness (CT) and cortical surface area (CSA) to construct structural covariance matrices. Subsequently, global and nodal network measures of SCNs were computed based on these matrices. Regarding global network measures, the BL assessment revealed significant deviations in small-worldness and local efficiency of CT and CSA in young adults with HCU compared to controls. However, no significant differences between the two groups were observed at the FU evaluation. Young adults with HCU displayed changes in nodal network measures across various brain regions during the transition from BL to FU. These alterations included abnormal nodal degree, nodal efficiency, and nodal betweenness in widespread areas such as the entorhinal cortex, superior frontal gyrus, and parahippocampal cortex. These findings suggest that the topography of CT and CSA plays a role in the typical structural covariance topology of the brain. Furthermore, these results indicate the effect of HCU on the developmental changes of SCNs in young adults.
重度大麻使用（HCU）对大脑有不良影响。结构协变网络（SCNs）被广泛用于研究大脑结构的异常，这些网络描绘了协调的区域成熟模式。然而，尚未探索的是，在 HCU 的年轻成年人中，SCNs 在从基线（BL）到 3 年随访（FU）的三年内的发育变化。这些变化表明了动态发展，并具有作为生物标志物的潜力。共招募了 20 名 HCU 的年轻成年人和 22 名匹配的对照者。所有参与者都在 BL 和 FU 接受了磁共振成像（MRI）扫描，并进行了临床评估。两组均使用皮质厚度（CT）和皮质表面积（CSA）构建结构协变矩阵。随后，基于这些矩阵计算了 SCN 的全局和节点网络度量。关于全局网络度量，在 BL 评估中，与对照组相比，HCU 的年轻成年人的 CT 和 CSA 的小世界特性和局部效率存在显著偏差。然而，在 FU 评估中，两组之间没有发现显著差异。在从 BL 到 FU 的过渡过程中，HCU 的年轻成年人的节点网络度量在各个大脑区域都发生了变化。这些变化包括在广泛的大脑区域（如内嗅皮层、额上回和海马旁回）中出现异常的节点度、节点效率和节点中介度。这些发现表明 CT 和 CSA 的拓扑结构在大脑的典型结构协变拓扑中起作用。此外，这些结果表明 HCU 对年轻成年人 SCNs 的发育变化有影响。
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