Keywords: Brain Connectivity, DiabetesTo screen type 2 diabetes mellitus(T2DM)-specific effective connective (EC) network, the dynamic features of which may contribute to distinguishing T2DM patients with mild cognitive impairment (T2DM-MCI) from controls. Screening of resting-state functional MRI (rs-fMRI) data from early T2DM, T2DM-related static causality network mainly consisted of nodes in visual and sensorimotor network. In the visual-motor network, the fractional windows and mean dwell time of strong dEC state in T2DM-MCI patients were significantly higher than controls. The sum of dECs (sumdEC) could effective distinguish the mT2DM-MCI indicating sumdEC to be a promising biomarker for the early cognitive impairment in T2DM.
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