ArticleFrontiers in aging neuroscience2023
Correlation between retinal structure and brain multimodal magnetic resonance imaging in patients with Alzheimer's disease.
Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The Visual System in Alzheimer's Disease: A Multilevel Review of Pathology, Monitoring, and Intervention.Vision (Basel, Switzerland) · 2026Review
- Microglial regulation of synaptic plasticity in transsynaptic degeneration of glaucoma.Frontiers in neuroscience · 2026Review
- Association of retinal layer thickness with brain volume and cortical thickness in older adults.Scientific reports · 2025Article
- Visual Function in Alzheimer's Disease: Current Understanding and Potential Mechanisms Behind Visual Impairment.Journal of clinical medicine · 2025Review
- Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- OCT in Oncology and Precision Medicine: From Nanoparticles to Advanced Technologies and AI.Bioengineering (Basel, Switzerland) · 2025Review
- Retinal Microstructural and Microvascular Changes in Alzheimer Disease: A Review.International ophthalmology clinics · 2025Review
- Early detection of mild cognitive impairment utilizing ocular biomarker-based risk scoring nomogram.Frontiers in aging neuroscience · 2025Article
- Outer Retinal Thinning is Associated With Brain Atrophy in Early Age-Related Macular Degeneration.American journal of ophthalmology · 2025Article
- Retinal biomarkers for the risk of Alzheimer's disease and frontotemporal dementia.Frontiers in aging neuroscience · 2024Article
- Retinal manifestations and their diagnostic significance in Alzheimer's disease.Journal of Alzheimer's disease reportsReview
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The retina imaging and brain magnetic resonance imaging (MRI) can both reflect early changes in Alzheimer's disease (AD) and may serve as potential biomarker for early diagnosis, but their correlation and the internal mechanism of retinal structural changes remain unclear. This study aimed to explore the possible correlation between retinal structure and visual pathway, brain structure, intrinsic activity changes in AD patients, as well as to build a classification model to identify AD patients. Methods: In the study, 49 AD patients and 48 healthy controls (HCs) were enrolled. Retinal images were obtained by optical coherence tomography (OCT). Multimodal MRI sequences of all subjects were collected. Spearman correlation analysis and multiple linear regression models were used to assess the correlation between OCT parameters and multimodal MRI findings. The diagnostic value of combination of retinal imaging and brain multimodal MRI was assessed by performing a receiver operating characteristic (ROC) curve. Results: Compared with HCs, retinal thickness and multimodal MRI findings of AD patients were significantly altered ( Conclusion: Our study demonstrated that retinal structure change was related to the loss of integrity of white matter fiber tracts in the visual pathway and the decreased LGN volume and functional metabolism of V1 in AD patients. Trans-synaptic axonal retrograde lesions may be the underlying mechanism. Combining retinal imaging and multimodal MRI may provide new insight into the mechanism of retinal structural changes in AD and may serve as new target for early auxiliary diagnosis of AD.
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