Analysis of Brain Network Patterns in Type 2 Diabetes Based on Multimodal Magnetic Resonance Imaging
Abstract: 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.
Keywords: multimodal magnetic resonance imaging; type 2 diabetes; brain network mechanism; insulin resistance; cognitive impairment
Contact:
LIU Zhenyu
E-mail: zhenyu.liu@ia.ac.cn
The State Key Laboratory of Management and Control for Complex Systems