Evidence map›Paper›PMID 38716763›Full record

ArticleEuropean journal of neurology2024

Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy.

Zihan Sun, Bing Zhang, Stephen Smith, Denize Atan, Anthony P Khawaja, Kelsey V Stuart, Robert N Luben, Mahantesh I Biradar, Thomas McGillivray, Praveen J Patel and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Zihan SunNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.ORCID https://orcid.org/0000-0002-5001-7113
Bing ZhangNational Clinical Research Centre for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Stephen SmithWellcome Centre for Integrative Neuroimaging (WIN Functional Magnetic Resonance Imaging Building), University of Oxford, Oxford, UK.
Denize AtanBristol Eye Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Anthony P KhawajaNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.
Kelsey V StuartNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.ORCID https://orcid.org/0000-0001-7353-8774
Robert N LubenNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.
Mahantesh I BiradarNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.
Thomas McGillivrayCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Praveen J PatelNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.
Peng T KhawNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.
Axel PetzoldQueen Square Institute of Neurology, University College London, Department of Molecular Neurosciences, Moorfields Eye Hospital and National Hospital for Neurology and Neurosurgery, London, UK.
Paul J FosterNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital National Health Service Foundation Trust and University College London Institute of Ophthalmology, London, UK.ORCID https://orcid.org/0000-0002-4755-177X
UK Biobank Eye and Vision Consortium

Funding

Alcon Research Institute Young Investigator AwardFight for Sight UKNational Institute for Health Research (NIHR) for a Biomedical Research Centre (BRC4) at Moorfields Eye Hospital NHS Foundation Trust and UCL (University College London) Institute of OphthalmologyThe Desmond FoundationThe Lister Institute for Preventive MedicineUK Research and Innovation (UKRI) Future Leaders Fellowship
6 · The paper itself

Abstract

background and purposeThe eye is a well-established model of brain structure and function, yet region-specific structural correlations between the retina and the brain remain underexplored. Therefore, we aim to explore and describe the relationships between the retinal layer thicknesses and brain magnetic resonance image (MRI)-derived phenotypes in UK Biobank.

methodsParticipants with both quality-controlled optical coherence tomography (OCT) and brain MRI were included in this study. Retinal sublayer thicknesses and total macular thickness were derived from OCT scans. Brain image-derived phenotypes (IDPs) of 153 cortical and subcortical regions were processed from MRI scans. We utilized multivariable linear regression models to examine the association between retinal thickness and brain regional volumes. All analyses were corrected for multiple testing and adjusted for confounders.

resultsData from 6446 participants were included in this study. We identified significant associations between volumetric brain 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) and the thickness of the innermost retinal sublayers and total macular thickness (all p < 3.3 × 10

conclusionsThinner inner and total retinal thicknesses are associated with smaller volumes of specific brain regions. Notably, these relationships extend beyond anatomically established retina-brain connections.

Indexed as

BrainMagnetic Resonance ImagingPhenotypeRetinaTomography, Optical CoherenceAdultAgedFemaleHumansMaleMiddle Agedimage‐derived phenotypesmagnetic resonance imagingoptical coherence tomographyretinal neurodegenerationretinal thickness

Identifiers

PMID38716763
PMCPMC11235673

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Registered trials

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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.