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Retinal Nerve Fiber Layer Measures and Cognitive Function in the EPIC-Norfolk Cohort Study
Anthony P Khawaja1, Michelle P Y Chan2, Jennifer L Y Yip3
1Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom 2NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Op.
Investigative Ophthalmology & Visual Science
|April 20, 2016
Summary
Thicker retinal nerve fiber layer (RNFL) thickness in older adults was linked to better cognitive function scores. However, these associations were weak and not yet predictive of cognitive decline.
Area of Science:
- Ophthalmology
- Neuroscience
- Gerontology
Background:
- Cognitive decline is a significant concern in aging populations.
- Retinal nerve fiber layer (RNFL) thickness, measurable via optical coherence tomography, is a potential indicator of neurological health.
Purpose of the Study:
- To investigate the association between RNFL thickness and cognitive function in older British adults.
- To determine if RNFL thickness can serve as a biomarker for cognitive performance.
Main Methods:
- Utilized data from 5563 participants in the European Prospective Investigation of Cancer (EPIC) Norfolk cohort study.
- Assessed RNFL thickness using Heidelberg Retina Tomograph (HRT) and cognitive function with multiple tests including SF-MMSE, HVLT, and NART.
- Employed multivariable linear regression, adjusting for various demographic and clinical factors.
Main Results:
- A thicker RNFL was significantly associated with better scores on the SF-MMSE, HVLT, and NART.
- These associations remained significant even after further adjustments, indicating a robust link.
- Mean participant age was 67 years, with data from a large cohort.
Conclusions:
- A significant association exists between RNFL thickness and cognitive performance across various domains including global function, learning, and memory.
- The observed associations were weak and currently lack predictive value for cognitive decline.
- Further research is needed to elucidate the underlying biological mechanisms and confirm clinical utility.

