ArticleFrontiers in neuroscience2021
Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Assessment of Hippocampal, Prefrontal Cortical, and Striatal Dopaminergic Circuitry Underlying Altered Social Behavior in Diabetes.Molecular neurobiology · 2026Article
- Gender-dependent association between cardiovascular health and cognitive function in chinese older adults: a community based cohort study.Cerebral circulation - cognition and behavior · 2026Article
- Association between Life's Essential 8 and cognitive function among older adults in the United States.Scientific reports · 2024Article
- Molecular mechanisms underlying hyperglycemia associated cognitive decline.IBRO neuroscience reports · 2023Review
- Cortical gray matter microstructural alterations in patients with type 2 diabetes mellitus.Brain and behavior · 2022Article
- Altered cortical thickness, degree centrality, and functional connectivity in middle-age type 2 diabetes mellitus.Frontiers in neurology · 2022Article
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Authors and funding
13 authors at 4 institutions in 1 country.
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Abstract
Diabetes with high blood glucose levels may damage the brain nerves and thus increase the risk of dementia. Previous studies have shown that dementia can be reflected in altered brain structure, facilitating computer-aided diagnosis of brain diseases based on structural magnetic resonance imaging (MRI). However, type 2 diabetes mellitus (T2DM)-mediated changes in the brain structures have not yet been studied, and only a few studies have focused on the use of brain MRI for automated diagnosis of T2DM. Hence, identifying MRI biomarkers is essential to evaluate the association between changes in brain structure and T2DM as well as cognitive impairment (CI). The present study aims to investigate four methods to extract features from MRI, characterize imaging biomarkers, as well as identify subjects with T2DM and CI.
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