ArticleNeural plasticity2020
Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy.
Article in Neural plasticity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Parcellation-based tractographic modeling of the salience network through meta-analysis.Brain and behavior · 2022Pooled it
- Cortical functional and structural alterations in rhegmatogenous retinal detachment: a multimodal analysis using surface-based independent component analysis, morphometry, and machine learning.Quantitative imaging in medicine and surgery · 2025Article
- Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study.Quantitative imaging in medicine and surgery · 2025Article
- Genetic mechanisms of dynamic functional connectivity density in diabetic retinopathy brains: a combined transcriptomic and resting-state functional magnetic resonance imaging study.Frontiers in cellular neuroscience · 2025Article
- Extensive Dynamic Functional Network Connectivity Alterations in Diabetic Retinopathy Among Patients with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Functional-structural decoupling in visual network is associated with cognitive decline in patients with type 2 diabetes mellitus: evidence from a multimodal MRI analysis.Brain imaging and behavior · 2024Article
- Specific static and dynamic functional network connectivity changes in thyroid-associated ophthalmopathy and it predictive values using machine learning.Frontiers in neuroscience · 2024Article
- Aberrant Neurovascular Coupling in Diabetic Retinopathy Using Arterial Spin Labeling (ASL) and Functional Magnetic Resonance Imaging (fMRI) methods.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Aberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals.Cognitive neurodynamics · 2023Article
- Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity.Journal of computational neuroscience · 2023Article
- Comprehensive bibliometric research in neuroscience: focusing on ophthalmology.Frontiers in neuroscience · 2023Article
- Alteration of brain functional networks induced by electroacupuncture stimulation in rats with ischemia-reperfusion: An independent component analysis.Frontiers in neuroscience · 2022Article
- Disrupted intra- and inter-network connectivity in unilateral acute tinnitus with hearing loss.Frontiers in aging neuroscience · 2022Article
- Dynamic Changes of Amplitude of Low-Frequency Fluctuations in Patients With Diabetic Retinopathy.Frontiers in neurology · 2021Article
- Altered Functional Connectivity Strength of Primary Visual Cortex in Subjects with Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic retinopathy (DR) patients are at an increased risk of cognitive decline and dementia. There is accumulating evidence that specific functional and structural architecture changes in the brain are related to cognitive impairment in DR patients. However, little is known regarding whether the functional architecture of resting-state networks (RSNs) changes in DR patients. The purpose of this study was to investigate the intranetwork functional connectivity (FC) and functional network connectivity (FNC) of RSN changes in DR patients using independent component analysis (ICA). Thirty-four DR patients (18 men and 16 women; mean age, 53.53 ± 8.67 years) and 38 nondiabetic healthy controls (HCs) (15 men and 23 women; mean age, 48.63 ± 11.83 years), closely matched for age, sex, and education, underwent resting-state magnetic resonance imaging scans. ICA was applied to extract the nine RSNs. Then, two-sample
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.