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A set of highly connected regions in the brain network called \u201crich\u2010club\u201d are crucial high efficiency communication hubs in the brain. The abnormal rich\u2010club organization can reflect underlying abnormal brain function and metabolism, which receives increasing attention. Diabetes is one of the risk factors for neurological diseases, and most individuals with prediabetes will develop overt diabetes within their lifetime. However, the gradual impact of hyperglycemia on brain structures, including rich\u2010club organization, remains unclear. We hypothesized that the brain follows a special disrupted pattern of rich\u2010club organization in prediabetes and diabetes. We used cross\u2010sectional baseline data from the population\u2010based PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study, which included 2218 participants with a mean age of 61.3\u2009\u00b1\u20096.6\u2009years and 54.1% females comprising 1205 prediabetes, 504 diabetes, and 509 normal control subjects. The rich\u2010club organization and network properties of the structural networks derived from diffusion tensor imaging data were investigated using a graph theory approach. Linear mixed models were used to assess associations between rich\u2010club organization disruptions and the subjects' glucose status. Based on the graphical analysis methods, we observed the disrupted pattern of rich\u2010club organization was from peripheral regions mainly located in frontal areas to rich\u2010club regions mainly located in subcortical areas from prediabetes to diabetes. The rich\u2010club organization disruptions were associated with elevated glucose levels. These findings provided more details of the process by which hyperglycemia affects the brain, contributing to a better understanding of the potential neurological consequences. Furthermore, the disrupted pattern observed in rich\u2010club organization may serve as a potential neuroimaging marker for early detection and monitoring of neurological disorders in individuals with prediabetes or diabetes.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hbm.26598","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T09:58:36Z","timestamp":1707299916000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Disrupted pattern of rich\u2010club organization in structural brain network from prediabetes to diabetes: <scp>A<\/scp> population\u2010based study"],"prefix":"10.1002","volume":"45","author":[{"given":"Yijun","family":"Zhou","sequence":"first","affiliation":[{"name":"Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering Beihang University  Beijing 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