Abstract #1232

Brain structural changes in type 2 diabetes mellitus: a DTI and VBM study

Qian Sun¹, YuChuan Hu¹, LinFeng Yan¹, Ying Yu ¹, Xin-tao Hu², Yu Han¹, DanDan Zheng³, Xu-Feng Liu ⁴, Wen Wang¹, and GuangBin Cui¹

¹Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi’an, China, People's Republic of, ²Northwestern Polytechnical University, Xi’an, China, People's Republic of, ³MR Research China, GE Healthcare China, Beijing, China, People's Republic of, ⁴Department of Endocrinology, Tangdu Hospital, Fourth Military Medical University, Xi’an, China, People's Republic of

More than 20.4% of the elderly population have diabetes in china, among which Type 2 Diabetes Mellitus (T2DM) accounts for 90%. T2DM is a major risk factor for cardiovascular disease and has been consistently associated with an increased risk of incident dementia, as well as with cognitive deficits and increased brain atrophy. T2DM related cognitive decline may be partly due to neuroanatomical alterations revealed by structural MR. Diffusion tensor imaging (DTI) has been used to quantify microstructural alterations in white matter that may also impact cognition. Fractional anisotropy (FA) and average diffusion coefficient( DCavg ) value derived from DTI reflect verall white matter health, maturation, and organization6.Voxel-based morphometry (VBM), which reflects brain volume, can be used in early detecting brain structural abnormalities in T2DM patients. Our research aims to detect brain microstructure changes in T2DM patients both in white matter (WM) and grey matter (GM) based on global DTI and VBM.

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