Keywords: Dementia, Brain Connectivity, Dementia, Diabetes
Motivation: Address the common issue of cognitive decline in type 2 diabetes (T2D) patients, lacking a simple cognitive assessment method.
Goal(s): Use a connectome-based prediction model (CPM) to identify neurobiological patterns linked to cognitive performance in T2D patients.
Approach: CPM was used with leave-one-out cross-validation on a training cohort of 592 T2D patients and validated the model on two independent sets.
Results: CPM successfully predicted cognitive performance, showing replicability. We found differences in network strengths between T2D with and without MCI, indicated high diagnostic potential for MCI. In a treatment sample, the model indicated changes in network strength linked to cognitive improvement.
Impact: The whole-brain functional network strengths could serve as a potential neural biomarker of global cognitive performance in T2D.
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