Altered individual-based morphological brain network in type 2 diabetes mellitus
Type 2 diabetes mellitus (T2DM) is recognized as a risk factor for cognitive decline, potentially linked to disrupted network connectivity. However, few previous studies have examined individual-based morphological brain networks in T2DM and their association with clinical characteristics. In our st...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Brain Research Bulletin |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0361923025000401 |
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| author | Wang Yan Ge Limin Sun Zhizhong Cao Zidong Qiu Shijun |
| author_facet | Wang Yan Ge Limin Sun Zhizhong Cao Zidong Qiu Shijun |
| author_sort | Wang Yan |
| collection | DOAJ |
| description | Type 2 diabetes mellitus (T2DM) is recognized as a risk factor for cognitive decline, potentially linked to disrupted network connectivity. However, few previous studies have examined individual-based morphological brain networks in T2DM and their association with clinical characteristics. In our study, we enrolled 123 patients with T2DM and 91 healthy controls (HC). We constructed the networks using symmetric Kullback–Leibler (KL) divergence-based similarity (KLS) and calculated various global and nodal metrics based on graph theory to describe the topological properties of the networks. Firstly, T2DM exhibited increased nodal degree in the left para-hippocampus, left amygdala, left precuneus, bilateral putamen, and right inferior temporal gyrus, and the concentrations of glycosylated hemoglobin (HbA1c) were positively correlated with the nodal degree of the left precuneus. Secondly, we identified hypo-connected and hyper-connected subnetworks, primarily involved with reward circuits and attention network, respectively. Lastly, altered morphological connectivity (MC) was linked to cognitive performance, and the aforementioned subnetworks may serve as predictors of cognitive performance. In conclusion, this study provided neuroimaging evidence for understanding cognitive changes by analyzing the properties and connections of individual-based morphological brain networks (MBNs) in T2DM patients. |
| format | Article |
| id | doaj-art-e4cd7662960a4731bfd3361cd94aac6a |
| institution | Kabale University |
| issn | 1873-2747 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Research Bulletin |
| spelling | doaj-art-e4cd7662960a4731bfd3361cd94aac6a2025-02-06T05:11:01ZengElsevierBrain Research Bulletin1873-27472025-03-01222111228Altered individual-based morphological brain network in type 2 diabetes mellitusWang Yan0Ge Limin1Sun Zhizhong2Cao Zidong3Qiu Shijun4Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, China; Corresponding author at: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.Type 2 diabetes mellitus (T2DM) is recognized as a risk factor for cognitive decline, potentially linked to disrupted network connectivity. However, few previous studies have examined individual-based morphological brain networks in T2DM and their association with clinical characteristics. In our study, we enrolled 123 patients with T2DM and 91 healthy controls (HC). We constructed the networks using symmetric Kullback–Leibler (KL) divergence-based similarity (KLS) and calculated various global and nodal metrics based on graph theory to describe the topological properties of the networks. Firstly, T2DM exhibited increased nodal degree in the left para-hippocampus, left amygdala, left precuneus, bilateral putamen, and right inferior temporal gyrus, and the concentrations of glycosylated hemoglobin (HbA1c) were positively correlated with the nodal degree of the left precuneus. Secondly, we identified hypo-connected and hyper-connected subnetworks, primarily involved with reward circuits and attention network, respectively. Lastly, altered morphological connectivity (MC) was linked to cognitive performance, and the aforementioned subnetworks may serve as predictors of cognitive performance. In conclusion, this study provided neuroimaging evidence for understanding cognitive changes by analyzing the properties and connections of individual-based morphological brain networks (MBNs) in T2DM patients.http://www.sciencedirect.com/science/article/pii/S0361923025000401Type 2 diabetes mellitusIndividual-based morphological brain networkGrapy theoryCognitive impairmentMorphological connectivity |
| spellingShingle | Wang Yan Ge Limin Sun Zhizhong Cao Zidong Qiu Shijun Altered individual-based morphological brain network in type 2 diabetes mellitus Brain Research Bulletin Type 2 diabetes mellitus Individual-based morphological brain network Grapy theory Cognitive impairment Morphological connectivity |
| title | Altered individual-based morphological brain network in type 2 diabetes mellitus |
| title_full | Altered individual-based morphological brain network in type 2 diabetes mellitus |
| title_fullStr | Altered individual-based morphological brain network in type 2 diabetes mellitus |
| title_full_unstemmed | Altered individual-based morphological brain network in type 2 diabetes mellitus |
| title_short | Altered individual-based morphological brain network in type 2 diabetes mellitus |
| title_sort | altered individual based morphological brain network in type 2 diabetes mellitus |
| topic | Type 2 diabetes mellitus Individual-based morphological brain network Grapy theory Cognitive impairment Morphological connectivity |
| url | http://www.sciencedirect.com/science/article/pii/S0361923025000401 |
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