June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Associations of retinal layer thicknesses and regional brain volumes in UK Biobank
Author Affiliations & Notes
  • Zihan Sun
    University College London Institute of Ophthalmology, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Bing Zhang
    National Clinical Research Center for Ocular Diseases, Wenzhou Medical University Eye Hospital, Wenzhou, Zhejiang, China
  • Robert Luben
    University College London Institute of Ophthalmology, London, London, United Kingdom
  • Kelsey Vernon Stuart
    University College London Institute of Ophthalmology, London, London, United Kingdom
  • Mahantesh Biradar
    University College London Institute of Ophthalmology, London, London, United Kingdom
  • Tom MacGillivray
    The University of Edinburgh, Edinburgh, Edinburgh, United Kingdom
  • Praveen J Patel
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Naomi Allen
    University of Oxford, Oxford, Oxfordshire, United Kingdom
  • Denize Atan
    University of Bristol, Bristol, Bristol, United Kingdom
  • Peng Tee Khaw
    University College London Institute of Ophthalmology, London, London, United Kingdom
  • Stephen Smith
    University of Oxford, Oxford, Oxfordshire, United Kingdom
  • Anthony Khawaja
    University College London Institute of Ophthalmology, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Axel Petzold
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Paul Foster
    University College London Institute of Ophthalmology, London, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, London, United Kingdom
  • Footnotes
    Commercial Relationships   Zihan Sun None; Bing Zhang None; Robert Luben None; Kelsey Stuart None; Mahantesh Biradar None; Tom MacGillivray None; Praveen Patel None; Naomi Allen None; Denize Atan Siloton, Code C (Consultant/Contractor); Peng Khaw None; Stephen Smith None; Anthony Khawaja Abbvie, Aerie, Google Health, Novartis, Reichert, Santen, Thea, Code C (Consultant/Contractor), Heidelberg Engineering , Code F (Financial Support), Alcon, Code F (Financial Support); Axel Petzold Novartis, Code C (Consultant/Contractor), Heidelberg Engineering, Roche, Code F (Financial Support); Paul Foster None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 1755. doi:
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      Zihan Sun, Bing Zhang, Robert Luben, Kelsey Vernon Stuart, Mahantesh Biradar, Tom MacGillivray, Praveen J Patel, Naomi Allen, Denize Atan, Peng Tee Khaw, Stephen Smith, Anthony Khawaja, Axel Petzold, Paul Foster; Associations of retinal layer thicknesses and regional brain volumes in UK Biobank. Invest. Ophthalmol. Vis. Sci. 2023;64(8):1755.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The eye has proven potential as a marker to understand brain structure and function, yet region-specific structural correlations between the retina and the brain remain underexplored. We therefore aimed to describe the relationships between imaging-derived structural phenotypes of the retinal sub-layers and brains of UK Biobank participants.

Methods : Participants who had both quality-controlled optical coherence tomography (OCT) and brain magnetic resonance imaging (MRI) were eligible for this study. Total retinal and sublayer thickness were derived from OCT scans using the Topcon Advanced Boundary Segmentation tool. Image-derived phenotypes (IDP) of 153 cortical and subcortical regions were processed from structural MRI scans. Consequently, we examined 1530 pairs of retina-brain associations (10 retinal metrics×153 brain IDPs) using linear regression models. All analyses were corrected for multiple testing and adjusted for age, sex, imaging site, the time lapse between OCT and MRI scans, education level, mean arterial blood pressure, body mass index, smoking status, alcohol drinking status, diabetes, and spherical equivalent.

Results : In total, 6446 participants were included in the final analysis. Using multivariable linear regression, we identified several associations between volumetric MRI measures of subregions in the occipital lobe (intracalcarine cortex), parietal lobe (postcentral gyrus), cerebellum (lobules VI, VIIb, VIIIa, VIIIb and IX) and deep brain structures (thalamus, hippocampus, caudate, putamen, pallidum and accumbens) with the thickness of the innermost retinal layers (macular nerve fibre layer [mRNFL], ganglion cell-inner plexiform layer [GCIPL], and ganglion-cell complex [GCC]) and total retinal thickness. Despite sufficient power, we did not observe statistically significant associations between the brain IDPs and the thickness of the mid and outer retinal sub-layers.

Conclusions : Thinner inner and total retinal thickness is associated with smaller volumes of specific brain regions, including the intracalcarine cortex, postcentral gyrus, cerebellum, thalamus, hippocampus, and basal ganglia. The associations we found go beyond anatomically established retina-brain connections. These novel findings will be the subject of further modelling.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

 

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