Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA.
Duke University School of Medicine, Department of Psychiatry and Behavioral Sciences, 2400 Pratt Street, Durham, NC 27705, USA; Wake Forest University, School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA.
Drug Alcohol Depend. 2024 Oct 1;263:112416. doi: 10.1016/j.drugalcdep.2024.112416. Epub 2024 Aug 21.
Cocaine use (CU) is prevalent in people with HIV (PWH). Both conditions are linked to changes in cognitive functioning and neural network topology. The current study utilizes graph theory to investigate functional connectomics associated with HIV and CU, focusing on disruption of densely connected nodes called hubs.
Resting state functional magnetic resonance imaging (fMRI) from 206 adults (ages 22-55 years) were analyzed. A HIV x CU factorial design was implemented with participants in four groups: HIV+CU (n= 41), HIV only (n= 88), CU only (n= 36), and controls (n= 41). Functional connectomes were constructed, and thresholded graph metrics were calculated. Network centrality metrics - betweenness centrality (BC), participation coefficient (PC), and within module degree (WD) - were quantified into hub disruption indices (HDI). For each index, a 2×2 ANCOVA was performed controlling for education.
Participants were 68 % male and 74 % African-American with a mean age of 44.4 years. HIV and CU were associated with hub disruption in all three indices. Interactions were significant for HDI-PC and HDI-WD, such that HIV disease was associated with greater hub disruption among participants without CU, but not among participants with CU. Overall, lower global cognitive functioning was associated with greater hub disruption on all three indices.
Widespread hub disruption was evident in HIV disease and CU, highlighting topological reorganization in both diseases with neurocognitive effects. Hub-related measures inform functional connectivity disruptions in HIV disease and CU, particularly with respect to changes in network topology throughout the connectome.
可卡因使用（CU）在艾滋病毒（HIV）感染者（PWH）中很常见。这两种情况都与认知功能和神经网络拓扑结构的变化有关。本研究利用图论来研究与 HIV 和 CU 相关的功能连接组学，重点关注称为枢纽的密集连接节点的破坏。
分析了 206 名成年人（年龄 22-55 岁）的静息状态功能磁共振成像（fMRI）。采用 HIV×CU 析因设计，参与者分为四组：HIV+CU（n=41）、HIV 组（n=88）、CU 组（n=36）和对照组（n=41）。构建功能连接组，并计算阈值图度量。网络中心性度量-介数中心性（BC）、参与系数（PC）和模块内度（WD）-被量化为枢纽破坏指数（HDI）。对于每个指标，进行了 2×2 的 ANCOVA 分析，控制了教育程度。
参与者中 68%为男性，74%为非裔美国人，平均年龄为 44.4 岁。HIV 和 CU 与所有三个指标的枢纽破坏有关。对于 HDI-PC 和 HDI-WD，存在显著的交互作用，即 HIV 疾病与没有 CU 的参与者中更大的枢纽破坏有关，但与有 CU 的参与者无关。总的来说，较低的整体认知功能与所有三个指标上更大的枢纽破坏有关。
在 HIV 疾病和 CU 中明显存在广泛的枢纽破坏，突出了这两种疾病在神经认知方面的拓扑重组织。枢纽相关措施为 HIV 疾病和 CU 中的功能连接中断提供了信息，特别是在整个连接组中网络拓扑的变化。
