Abstract #1887

Disrupted resting-state salience network in type 2 diabetes with and without mild cognitive impairment

Yumeng Lei¹, Dongsheng Zhang¹, Fei Qi², Man Wang², Jie Gao¹, Min Tang¹, Yu Su², Zhirong Shao², Kai Ai³, and Xiaoling Zhang¹

¹Department of MRI, Shaanxi Provincial People’s Hospital, Xi'an, China, ²Xi'an Medical University, Xi’an, China, ³Philips Healthcare, Xi'an, China

To investigate the underlying mechanisms of cognitive decline in patients with diabetes, data-driven independent component analysis (ICA) was applied to resting-state fMRI images from 34 type 2 diabetes mellitus (T2DM) patients with normal cognition (DMCN) and 31 T2DM patients with cognitive impairment (DMCI), and 31 healthy controls (HC) to identify the difference in salience network (SN). The resting-state functional connectivity (rs-FC) alteration are different and complicated among HC, DMCN and DMCI groups, and also are correlated to neuropsychological scores, indicated that altered SN rs-FC in T2DM patients are closely related to cognitive impairment.

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