Jun Wang1, Wenjuan Bai2, Pengfei ZHANG1, Wenjing HUANG1, Wanjun HU1, Guangyao LIU1, and Jing ZHANG1
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lan Zhou, China, 2Second School of Clinical Medicine, Lanzhou University, Lan Zhou, China
Type 2
diabetes mellitus (T2DM) is a serious public health problem, increase the risk of
neurological and psychiatric disorders, such as dementia and depression. The objective of this study was to explore the
effect of glucose fluctuation on T2DM patients using a new method named automated
fiber quantification (AFQ). In
addition, we also used SVM model to explore the value of different DTI
parameters in the classification of T2DM patients and normal patients. AFQ demonstrated
early significant differences between T2DM and HC groups. And these parameters may be associated with blood
glucose level.
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