近年来，糖尿病发病率急剧上升，已成为继肿瘤、心血管疾病之后又一严重烕胁人类健康的重大疾病。2014年我国糖尿病患病人数达1.14亿，高居世界首位，糖尿病已成为我国一大公共卫生问题。糖尿病造成的持续性血糖升高是心脑血管疾病、失明、肾功能衰竭的主要致病因，也是引起中枢神经系统病变的重要因素。糖尿病诱发脑病起病隐匿，当临床症状出现时，脑组织往往已经发生了较为明显的改变。现代神经影像技术的发展为解析糖尿病脑病的神经机制提供了新手段。本项目拟采用多模态磁共振成像技术，以II型糖尿病患者为研究对象，采取交叉实验设计与纵向实验设计的实验设计模式，构建多模态、多时点的糖尿病患者复杂脑网络模型，探索脑网络拓扑属性的异常改变及其随病程发展的变化，并结合糖尿病生理病理指标及认知等行为指标，研究糖尿病患者脑功能、结构网络相互作用的神经生理机制及其与病理、行为之间的关系，从而揭示糖尿病患者脑网络异常的内在神经机制。

In recent years, the incidence of diabetes increased sharply, and diabetes has become another major disease that threatens human health in addition to cardiovascular disease and tumor. In China, 114 million people have diabetes in 2014, ranking the first in the world. Diabetes has become a major public health problem in our country. Continuous hyperglycemia caused by diabetes is a major cause of cardiovascular disease, blindness, renal failure, and it is also an important cause of central nervous system diseases. Diabetic encephalopathy often occurred with no obvious symptoms, when clinical symptoms appear, brain tissue often has occurred obvious changes. Modern neuroimaging provides a new means for the research of diabetic encephalopathy. In this project, we intend to combine multimodal MRI, adopting cross-sectional design and longitudinal design on type II diabetes mellitus patients. We will construct multi-modal whole brain networks during the experiment and make correlation analysis between brain network models and pathological information of diabetes such as insulin resistance and behavioral performance such as MMSE to explore the topological properties of the brain networks in type II diabetes mellitus patients. The project may reveal the neural mechanism of diabetic encephalopathy in the brain network level.