ArticleFrontiers in neuroscience2024
Altered cortical thickness-based structural covariance networks in type 2 diabetes mellitus.
Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Structural and functional brain abnormal alteration in patients with type 2 diabetes mellitus: A coordinate-based meta-analysis.Translational psychiatry · 2025Pooled it
- Brain-body interactions in systemic diseases: a survey from an imaging perspective.MedScience · 2026Review
- Integrated cortical-cognitive signatures identified by machine learning enable early detection of MCI in type 2 diabetes.Scientific reports · 2026Article
- Abnormal topological organization of structural covariance networks in early-stage Parkinson's disease patients with autonomic dysfunction.Quantitative imaging in medicine and surgery · 2025Article
- Cortical Surface Spatial Analysis Reveals Altered Brain Functional Network Topology in T2DM With Mild Cognitive Impairment.Brain and behavior · 2025Article
- Abnormal topological structure of structural covariance networks based on fractal dimension in noise induced hearing loss.Scientific reports · 2024Article
- Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus.Frontiers in neurology · 2024Article
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Authors and funding
10 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Cognitive impairment is a common complication of type 2 diabetes mellitus (T2DM), and early cognitive dysfunction may be associated with abnormal changes in the cerebral cortex. This retrospective study aimed to investigate the cortical thickness-based structural topological network changes in T2DM patients without mild cognitive impairment (MCI). Fifty-six T2DM patients and 59 healthy controls underwent neuropsychological assessments and sagittal 3-dimensional T1-weighted structural magnetic resonance imaging. Then, we combined cortical thickness-based assessments with graph theoretical analysis to explore the abnormalities in structural covariance networks in T2DM patients. Correlation analyses were performed to investigate the relationship between the altered topological parameters and cognitive/clinical variables. T2DM patients exhibited significantly lower clustering coefficient (C) and local efficiency (Elocal) values and showed nodal property disorders in the occipital cortical, inferior temporal, and inferior frontal regions, the precuneus, and the precentral and insular gyri. Moreover, the structural topological network changes in multiple nodes were correlated with the findings of neuropsychological tests in T2DM patients. Thus, while T2DM patients without MCI showed a relatively normal global network, the local topological organization of the structural network was disordered. Moreover, the impaired ventral visual pathway may be involved in the neural mechanism of visual cognitive impairment in T2DM patients. This study enriched the characteristics of gray matter structure changes in early cognitive dysfunction in T2DM patients.
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