Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity.

ABSTRACT: Type 2 diabetes mellitus (T2DM) is reported to cause widespread changes in brain function, leading to cognitive impairments. Research using resting-state functional magnetic resonance imaging data already aims to understand functional changes in complex brain connectivity systems. However, no previous studies with dynamic causal modelling (DCM) tried to investigate large-scale effective connectivity in diabetes. We aimed to examine the differences in large-scale resting state networks in diabetic and obese patients using combined DCM and graph theory methodologies. With the participation of 70 subjects (43 diabetics, 27 obese), we used cross-spectra DCM to estimate connectivity between 36 regions, subdivided into seven resting networks (RSN) commonly recognized in the literature. We assess

SUBMITTER: Aranyi SC 

PROVIDER: S-EPMC9840595 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature