Liu Huanghui, Liu Jun, Liu Huasheng, Peng Limin, Feng Zhichao, Rong Pengfei, Shen Hui, Hu Dewen, Zeng Ling-Li, Wang Wei
Department of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
Front Neurosci. 2019 Jul 16;13:731. doi: 10.3389/fnins.2019.00731. eCollection 2019.
Previous neuroimaging studies have demonstrated type 2 diabetes (T2D)-related brain structural and functional changes are partly associated with cognitive decline. However, less is known about the underlying mechanisms. Chronic hyperglycemia and microvascular complications are the two of most important risk factors related to cognitive decline in diabetes. Cerebral small vessel diseases (CSVDs), such as those defined by lacunar infarcts, white matter hyperintensities (WMHs) and microhemorrhages, are also associated with an increased risk of cognitive decline and dementia. In this study, we examined brain magnetic resonance imaging (MRI) changes in patients in the early stages of T2D without CSVDs to focus on glucose metabolism factors and to avoid the interference of vascular risk factors on T2D-related brain damage.
T2D patients with disease durations of less than 5 years and without any signs of CSVDs ( = 34) were compared with healthy control subjects ( = 24). Whole-brain region-based functional connectivity was analyzed with network-based statistics (NBS), and brain surface morphology was examined. In addition, the Montreal Cognitive Assessment (MoCA) was conducted for all subjects.
At the whole-brain region-based functional connectivity level, thirty-three functional connectivities were changed in T2D patients relative to those in controls, mostly manifested as pathological between-network positive connectivity and located mainly between the sensory-motor network and auditory network. Some of the connectivities were positively correlated with blood glucose level, insulin resistance, and MoCA scores in the T2D group. The network-level analysis showed between-network hyperconnectivity in T2D patients, but no significant changes in within-network connectivity. In addition, there were no significant differences in MoCA scores or brain morphology measures, including cortical thickness, surface area, mean curvature, and gray/white matter volume, between the two groups.
The findings indicate that pathological between-network positive connectivity occurs in the early stages of T2D without CSVDs. The abnormal connectivity may indicate that the original balance of mutual antagonistic/cooperative relationships between the networks is broken, which may be a neuroimaging basis for predicting cognitive decline in early T2D patients.
既往神经影像学研究表明,2型糖尿病(T2D)相关的脑结构和功能变化与认知功能下降部分相关。然而,其潜在机制尚不清楚。慢性高血糖和微血管并发症是糖尿病认知功能下降的两个最重要危险因素。脑小血管疾病(CSVD),如由腔隙性梗死、白质高信号(WMH)和微出血所定义的疾病,也与认知功能下降和痴呆风险增加有关。在本研究中,我们检查了无CSVD的T2D早期患者的脑磁共振成像(MRI)变化,以关注葡萄糖代谢因素,并避免血管危险因素对T2D相关脑损伤的干扰。
将疾病病程小于5年且无任何CSVD迹象的T2D患者(n = 34)与健康对照者(n = 24)进行比较。采用基于网络的统计方法(NBS)分析全脑基于区域的功能连接,并检查脑表面形态。此外,对所有受试者进行蒙特利尔认知评估(MoCA)。
在全脑基于区域的功能连接水平上,T2D患者相对于对照组有33个功能连接发生改变,主要表现为病理性的网络间正性连接,主要位于感觉运动网络和听觉网络之间。T2D组中一些连接与血糖水平、胰岛素抵抗和MoCA评分呈正相关。网络水平分析显示T2D患者存在网络间高连接性,但网络内连接性无显著变化。此外,两组之间的MoCA评分或脑形态学指标,包括皮质厚度、表面积、平均曲率和灰质/白质体积,均无显著差异。
研究结果表明,在无CSVD的T2D早期阶段出现病理性的网络间正性连接。这种异常连接可能表明网络之间相互拮抗/合作关系的原始平衡被打破,这可能是预测早期T2D患者认知功能下降的神经影像学基础。