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Dataset Information

Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus.


ABSTRACT:

Objective

To investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.

Methods

A total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients. Then two methods, Jensen-Shannon divergence-based similarities (JSDs) and Kullback-Leibler divergence-based similarities (KLDs), were used to construct individual morphometric brain networks based on gray ma

SUBMITTER: Shen D 

PROVIDER: S-EPMC11754055 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature