ArticleBrain and behavior2025
Deteriorated Gray Matter Connectome in Diabetic Kidney Disease: A Graph Theory Analysis of Individual-Level Gray Matter Morphological Networks.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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5 authors.
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Abstract
introductionCognitive impairment is frequently observed in patients with diabetes mellitus (DM), and this condition worsens in those with diabetic kidney disease (DKD). However, the precise neural mechanisms involved are still not fully understood. The present study aimed to investigate the topological organization of individual-level gray matter (GM) structural networks in patients with DKD and its association with clinical characteristics.
methodsStructural magnetic resonance imaging data were collected from 50 DKD patients, 65 DM patients, and 70 healthy controls (HCs). Following data processing, individualized similarity-based GM morphological networks were created. The topological properties of these networks were analyzed using graph theory analysis and compared among the three groups.
resultsBoth patient groups showed lower local efficiency and clustering coefficient (C
conclusionOur study indicates a progressive disruption of the GM structural connectome in patients with DKD compared to those without kidney complications. This disruption may be the underlying neural substrate that leads to more severe cognitive impairment in DKD patients.
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