ArticleEye and brain2023
Associations Between Thinner Retinal Neuronal Layers and Suboptimal Brain Structural Integrity in a Middle-Aged Cohort.
Article in Eye and brain, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- The Retinal Age Gap as a Marker of Accelerated Aging in the Early Course of Schizophrenia.Schizophrenia bulletin · 2026Article
- Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Measures of retinal health successfully capture risk for Alzheimer's disease and related dementias at midlife.Journal of Alzheimer's disease : JAD · 2025Article
- Association of retinal layer thickness with brain volume and cortical thickness in older adults.Scientific reports · 2025Article
- Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses.Diagnostics (Basel, Switzerland) · 2025Review
- Eye-brain connections revealed by multimodal retinal and brain imaging genetics.Nature communications · 2024Article
- Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy.European journal of neurology · 2024Article
- Association of retinal nerve layers thickness and brain imaging in healthy young subjects from the i-Share-Bordeaux study.Human brain mapping · 2023Article
- Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank.medRxiv : the preprint server for health sciences · 2023Article
- Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 6 countries.
Funding
Abstract
Purpose: The retina has potential as a biomarker of brain health and Alzheimer's disease (AD) because it is the only part of the central nervous system which can be easily imaged and has advantages over brain imaging technologies. Few studies have compared retinal and brain measurements in a middle-aged sample. The objective of our study was to investigate whether retinal neuronal measurements were associated with structural brain measurements in a middle-aged population-based cohort. Participants and Methods: Participants were members of the Dunedin Multidisciplinary Health and Development Study (n=1037; a longitudinal cohort followed from birth and at ages 3, 5, 7, 9, 11, 13, 15, 18, 21, 26, 32, 38, and most recently at age 45, when 94% of the living Study members participated). Retinal nerve fibre layer (RNFL) and ganglion cell-inner plexiform layer (GC-IPL) thickness were measured by optical coherence tomography (OCT). Brain age gap estimate (brainAGE), cortical surface area, cortical thickness, subcortical grey matter volumes, white matter hyperintensities, were measured by magnetic resonance imaging (MRI). Results: Participants with both MRI and OCT data were included in the analysis (RNFL n=828, female n=413 [49.9%], male n=415 [50.1%]; GC-IPL n=825, female n=413 [50.1%], male n=412 [49.9%]). Thinner retinal neuronal layers were associated with older brain age, smaller cortical surface area, thinner average cortex, smaller subcortical grey matter volumes, and increased volume of white matter hyperintensities. Conclusion: These findings provide evidence that the retinal neuronal layers reflect differences in midlife structural brain integrity consistent with increased risk for later AD, supporting the proposition that the retina may be an early biomarker of brain health.
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Registered trials
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