Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Department of Rehabilitation, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Neurosci Bull. 2021 Mar;37(3):287-297. doi: 10.1007/s12264-020-00580-w. Epub 2020 Sep 25.
Subcortical vascular mild cognitive impairment (svMCI) is a common prodromal stage of vascular dementia. Although mounting evidence has suggested abnormalities in several single brain network metrics, few studies have explored the consistency between functional and structural connectivity networks in svMCI. Here, we constructed such networks using resting-state fMRI for functional connectivity and diffusion tensor imaging for structural connectivity in 30 patients with svMCI and 30 normal controls. The functional networks were then parcellated into topological modules, corresponding to several well-defined functional domains. The coupling between the functional and structural networks was finally estimated and compared at the multiscale network level (whole brain and modular level). We found no significant intergroup differences in the functional-structural coupling within the whole brain; however, there was significantly increased functional-structural coupling within the dorsal attention module and decreased functional-structural coupling within the ventral attention module in the svMCI group. In addition, the svMCI patients demonstrated decreased intramodular connectivity strength in the visual, somatomotor, and dorsal attention modules as well as decreased intermodular connectivity strength between several modules in the functional network, mainly linking the visual, somatomotor, dorsal attention, ventral attention, and frontoparietal control modules. There was no significant correlation between the altered module-level functional-structural coupling and cognitive performance in patients with svMCI. These findings demonstrate for the first time that svMCI is reflected in a selective aberrant topological organization in multiscale brain networks and may improve our understanding of the pathophysiological mechanisms underlying svMCI.
皮质下血管性轻度认知障碍 (svMCI) 是血管性痴呆的常见前驱阶段。尽管越来越多的证据表明几种单一脑网络指标存在异常,但很少有研究探讨 svMCI 中功能连接网络和结构连接网络之间的一致性。在这里,我们使用静息态 fMRI 构建了功能连接网络,使用弥散张量成像构建了结构连接网络,纳入了 30 名 svMCI 患者和 30 名正常对照。然后,我们将功能网络划分为拓扑模块,对应于几个明确的功能域。最后,在多尺度网络水平(全脑和模块水平)上估计和比较了功能网络和结构网络之间的耦合。我们没有发现全脑功能-结构耦合在两组间存在显著差异;然而,在 svMCI 组中,背侧注意模块的功能-结构耦合显著增加,腹侧注意模块的功能-结构耦合显著降低。此外,svMCI 患者的功能网络中还存在多个模块之间的视觉、躯体运动和背侧注意模块内的模块间连接强度降低,以及视觉、躯体运动、背侧注意、腹侧注意和额顶控制模块之间的模块间连接强度降低。svMCI 患者改变的模块水平功能-结构耦合与认知表现之间无显著相关性。这些发现首次表明,svMCI 反映了多尺度脑网络中选择性异常拓扑组织,并可能有助于我们理解 svMCI 的病理生理机制。