Disrupted topological organization of human brain connectome in diabetic retinopathy patients

There is increasing neuroimaging evidence that type 2 diabetes patients with retinal microvascular complications show abnormal brain functional and structural architecture and are at an increased risk of cognitive decline and dementia. However, changes in the topological properties of the functional...

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Bibliographic Details
Published in:Neuropsychiatric disease and treatment 2019-08, Vol.15, p.2487-2502
Main Authors: Huang, Xin, Tong, Yan, Qi, Chen-Xing, Xu, Yang-Tao, Dan, Han-Dong, Shen, Yin
Format: Article
Language:English
Subjects:
Acuity
Alzheimer's disease
Blood glucose
Brain
Brain architecture
Cognition & reasoning
Cognitive ability
Data processing
Dementia
Dementia disorders
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetic neuropathy
Diabetic retinopathy
Fasting
functional connectome
Glaucoma
Glucose
graph theory
Magnetic resonance imaging
Medical imaging
Metabolism
Microvasculature
Myopia
Neurodegeneration
Neuroimaging
Neurophysiology
Original Research
Plasma
Real estate industry
resting-state functional magnetic resonance imaging
Retinal detachment
Retinopathy
Sensorimotor system
Somatotropin
Structure-function relationships
Type 2 diabetes
Women
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Summary:There is increasing neuroimaging evidence that type 2 diabetes patients with retinal microvascular complications show abnormal brain functional and structural architecture and are at an increased risk of cognitive decline and dementia. However, changes in the topological properties of the functional brain connectome in diabetic retinopathy (DR) patients remain unknown. The aim of this study was to explore the topological organization of the brain connectome in DR patients using graph theory approaches. Thirty-five DR patients (18 males and 17 females) and 38 healthy controls (HCs) (18 males and 20 females), matched for age, sex, and education, underwent resting-state magnetic resonance imaging scans. Graph theory analysis was performed to investigate the topological properties of brain functional connectome at both global and nodal levels. Both DR and HC groups showed high-efficiency small-world network in their brain functional networks. Notably, the DR group showed reduction in the clustering coefficient ( =0.0572) and local efficiency ( =0.0151). Furthermore, the DR group showed reduced nodal centralities in the default-mode network (DMN) and increased nodal centralities in the visual network (VN) (
ISSN:1176-6328
1178-2021
1178-2021
DOI:10.2147/NDT.S214325