Evidence map›Paper›PMID 33369822›Full record

ArticleEuropean journal of neurology2021

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, Peng T Khaw, Stephen M Smith, Paul M Matthews, Axel Petzold, Nicholas G Strouthidis and 4 more

Abstract read
In one paragraph

Article in European journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
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  5. Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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  15. Retinal Thinning in Adults with Autism Spectrum Disorder.Journal of autism and developmental disorders · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sharon Y L ChuaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.ORCID 0000-0002-2501-0948
Gerassimos LascaratosKings College Hospital, London, UK.
Denize AtanBristol Eye Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Bing ZhangDepartment of Psychiatry, University of Oxford, Oxford, UK.
Charles ReismanTopcon Healthcare Solutions, Research and Development, Oakland, NJ, USA.
Peng T KhawNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Stephen M SmithCentre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Paul M MatthewsDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.
Axel PetzoldNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Nicholas G StrouthidisNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Paul J FosterNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Anthony P KhawajaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Praveen J PatelNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
UK Biobank Eye, Vision Consortium

Funding

Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/T040912/1
6 · The paper itself

Abstract

background and purposeCurrent 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.

methodsUK 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.

resultsA 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.

conclusionsMarkers 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.

Indexed as

Biological Specimen BanksRetinal Ganglion CellsAdultAgedBrainCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetinaTomography, Optical CoherenceUnited Kingdombrain MRI markerscognitive impairmentoptical coherence tomographyretinal layersretinal neurodegeneration

Identifiers

PMID33369822
PMCPMC8261460

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.