BACKGROUND: 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), ganglion cell-inner plexiform layer (mGCIPL), ganglion cell complex (mGCC) and total macular thicknesses were obtained from OCT. 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 2,131 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 volumes (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. CONCLUSION: Markers of retinal neurodegeneration are associated with smaller brain volumes. Our findings suggest that retinal structures may be a biomarker providing information about important brain structures in healthy, older adults
