Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort

Sharon Y.L. Chua, Gerassimos Lascaratos, Denize Atan, Bing Zhang, Charles Reisman, Sir Peng Tee Khaw, Stephen M Smith, Paul M Matthews, Axel Petzold, Nicholas J Strouthidis, Paul J. Foster, Anthony P. Khawaja*, Praveen J Patel

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

21 Citations (Scopus)
92 Downloads (Pure)


Background and purpose Current methods to diagnose neurodegenerative diseases are costly and invasive. Retinal neuroanatomy may be a biomarker for more neurodegenerative processes and can be quantified in vivo using optical coherence tomography (OCT), which is inexpensive and noninvasive. We examined the association of neuroretinal morphology with brain MRI image‐derived phenotypes (IDPs) in a large cohort of healthy older people. Methods UK Biobank participants aged 40 to 69 years old underwent comprehensive examinations including ophthalmic and brain imaging assessments. Macular retinal nerve fibre layer (mRNFL), macular ganglion cell‐inner plexiform layer (mGCIPL), macular ganglion cell complex (mGCC) and total macular thicknesses were obtained from OCT. Magnetic resonance imaging (MRI) IDPs assessed included total brain, grey matter, white matter and hippocampal volume. Multivariable linear regression models were used to evaluate associations between retinal layers thickness and brain MRI IDPs, adjusting for demographic factors and vascular risk factors. Results A total of 2131 participants (mean age 55 years; 51% women) with both gradable OCT images and brain imaging assessments were included. In multivariable regression analysis, thinner mGCIPL, mGCC and total macular thickness were all significantly associated with smaller total brain (p < 0.001), grey matter and white matter volume (p < 0.01), and grey matter volume in the occipital pole (p < 0.05). Thinner mGCC and total macular thicknesses were associated with smaller hippocampal volume (p < 0.02). No association was found between mRNFL and the MRI IDPs. Conclusions Markers of retinal neurodegeneration are associated with smaller brain volumes. Our findings suggest that retinal structure may be a biomarker providing information about important brain structure in healthy older adults.
Original languageEnglish
Pages (from-to)1490-1498
Number of pages9
JournalEuropean Journal of Neurology
Issue number5
Early online date20 Jan 2021
Publication statusPublished - May 2021


  • brain MRI markers
  • cognitive impairment
  • optical coherence tomography
  • retinal layers
  • retinal neurodegeneration


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