ORIGINAL RESEARCH article
Front. Neurol.
Sec. Cognitive and Behavioral Neurology
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1626518
Cerebellar Gray Matter Atrophy and Altered Structural Covariance Networks Are Associated with Cognitive Impairment in Type 2 Diabetes Mellitus
Provisionally accepted- 1Guangzhou University of Chinese Medicine, Guangzhou, China
- 2Other
- 3The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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Background The prevalence of type 2 diabetes mellitus (T2DM) is steadily increasing, with central nervous system complications commonly manifesting as mild cognitive impairment and dementia. However, the neuropathophysiological mechanisms underlying T2DM-related cognitive dysfunction remain poorly understood. Method This study employed voxel-based morphometry (VBM) and seed-to-voxel structural covariance network (SCN) analyses to investigate alterations in cerebellar gray matter volume (GMV) and SCNs in T2DM, as well as their associations with cognitive performance. Intergroup differences were assessed using two-sample t-tests with Gaussian random field correction. Results VBM analysis revealed significant GMV reductions in the bilateral cerebellar Crus I, left lobule I–IV, left Crus II, left lobule IX, and right lobule VIIb in T2DM participants. Seed-to-voxel SCN analysis further demonstrated decreased covariance between the left Crus I and the left middle temporal gyrus, middle occipital gyrus, and angular gyrus, along with increased covariance between the left lobule I–IV and the right caudate nucleus. Correlation analysis revealed that GMV of the left Crus I was positively associated with Clock Drawing Test scores, while GMV of the right Crus I correlated positively with auditory verbal learning test (AVLT) scores. In addition, GMV of the right lobule VIIb was positively associated with both AVLT and grooved pegboard test (GPT) scores, and GMV of the left lobule IX was positively correlated with GPT scores. With respect to network integrity, reduced SCN connectivity between the left Crus I and the default mode network (DMN) was negatively correlated with AVLT and the color word test performance, whereas enhanced SCN connectivity between the left lobule I–IV and the right caudate nucleus was negatively correlated with AVLT scores, while positively correlated with trail making test–A performance. Conclusions By integrating VBM and SCN approaches, this study demonstrated that cerebellar GMV atrophy and abnormal structural covariance in T2DM were closely associated with cognitive dysfunction. These findings highlight the role of disrupted cerebro-cerebellar connectivity in the pathophysiology of T2DM-related cognitive impairment.
Keywords: type 2 diabetes mellitus, Cerebellar gray matter, Caudate Nucleus, voxel-based morphometry, structural covariance network, cognitive impairment, Default Mode Network
Received: 11 May 2025; Accepted: 22 Sep 2025.
Copyright: © 2025 Long, Xue, Hu, Chu and Qiu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shijun Qiu, qiu-sj@163.com
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