five

Reduced gray matter volume in the default-mode network associated with insulin resistance

收藏
DataONE2023-12-18 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:b77db051be13e5a675bda9ecd338c00f872b0011771003db11acbd712c6cb4b7
下载链接
链接失效反馈
官方服务:
资源简介:
Insulin resistance may lead to structural and functional abnormalities of the human brain. However, the mechanism by which insulin resistance impairs the brain remains elusive. In this study, we used two large neuroimaging databases to investigate the brain regions where insulin resistance was associated with the gray matter volume and to examine the resting-state functional connectivity between these brain regions and each hypothalamic nucleus. Insulin resistance was associated with reduced gray matter volume in the regions of the default-mode and limbic networks in the cerebral cortex in older adults. Resting-state functional connectivity was prominent between these networks and the paraventricular nucleus of the hypothalamus, a hypothalamic interface connecting functionally with the cerebral cortex. Furthermore, we found a significant correlation in these networks between insulin resistance-related gray matter volume reduction and network paraventricular nucleus of the hypothalamus r..., Data from the Bunkyo Health Study, which aimed to prevent diseases requiring long-term care in older people, was used in the present study. Of 1629 participants in the database, insulin-dependent T2DM patients were excluded, and then the data of 1609 without any missing data were analyzed. We analyzed the gray matter volumes using a VBM software implemented in SPM12 and insulin resistance (HOMA-IR) was calculated using fasting blood sampling data. We also analyzed the functional connectivity between the HOMA-IR-related cerebral region and the hypothalamic nuclei. For this analysis, we used the data of resting-state functional images of HCP (N = 418)., , # Reduced gray matter volume in the default-mode network associated with insulin resistance **Saki Asano et al. (2023) Cerebral Cortex 33:11225–11234, 2023.** This study investigated the association of insulin resistance with the gray matter volume (GMV) and resting-state functional connectivity (RSFC) in the human brain using a cohort dataset including structural images and blood samples from >1000 older adults in Japan and the Human Connectome Project (HCP) dataset of RSFC. The Nifti file showing that the regional GMV reduction was negatively associated with homeostasis model assessment for insulin resistance (HOMA-IR) is provided. The Cifti files showing that the activity of hypothalamic nuclei was correlated with those of cerebrocortical parcels are provided. ## The regional GMV reduction was negatively associated with HOMA-IR We observed that the GMV reduction in the precuneus, superior frontal gyrus, medial frontal gyrus, parietal operculum, and ventromedial prefrontal cor...
创建时间:
2025-07-25
二维码
社区交流群
二维码
科研交流群
商业服务