Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort. (20th January 2021)

• Record Type: Journal Article
• Authors: Chua, Sharon Y. L.; Lascaratos, Gerassimos; Atan, Denize; Zhang, Bing; Reisman, Charles; Khaw, Peng T.; Smith, Stephen M.; Matthews, Paul M.; Petzold, Axel; Strouthidis, Nicholas G.; Foster, Paul J.; Khawaja, Anthony P.; Patel, Praveen J.
• Is Part Of: European journal of neurology. Volume 28:Number 5(2021)
• Page Start: 1490
• Page End: 1498
• Publication Date: 2021-01-20
• Subjects: brain MRI markers -- cognitive impairment -- optical coherence tomography -- retinal layers -- retinal neurodegeneration; Neurology -- Periodicals; Nervous system -- Diseases -- Periodicals; 616.8
• DOI: 10.1111/ene.14706
• Languages: English
• ISSNs: 1351-5101

Abstract

Abstract: 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. Abstract : Thinner inner retinal layers and total macular thickness were associated with smaller brain volumes in a cohort of healthy UK Biobank adults. Our findings suggest that retinal structure may be a biomarker for processes affecting brain structure.