Evidence map›Paper›PMID 29935103›Full record

ArticleHuman brain mapping2018

Thinner retinal layers are associated with changes in the visual pathway: A population-based study.

Unal Mutlu, Mohammad K Ikram, Gennady V Roshchupkin, Pieter W M Bonnemaijer, Johanna M Colijn, Johannes R Vingerling, Wiro J Niessen, Mohammad A Ikram, Caroline C W Klaver, Meike W Vernooij

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  6. 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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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

10 authors at 1 institution in 1 country.

Unal MutluDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0001-5497-0545
Mohammad K IkramDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Gennady V RoshchupkinDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
Pieter W M BonnemaijerDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Johanna M ColijnDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Johannes R VingerlingDepartment of Ophthalmology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Wiro J NiessenDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
Mohammad A IkramDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Caroline C W KlaverDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Meike W VernooijDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence shows that thinner retinal nerve fiber layer (RNFL) and ganglion cell layer (GCL), assessed on optical coherence tomography (OCT), are reflecting global brain atrophy. Yet, little is known on the relation of these layers with specific brain regions. Using voxel-based analysis, we aimed to unravel specific brain regions associated with these retinal layers. We included 2,235 persons (mean age: 67.3 years, 55% women) from the Rotterdam Study (2007-2012) who had gradable retinal OCT images and brain magnetic resonance imaging (MRI) scans, including diffusion tensor (DT) imaging. Thicknesses of peripapillary RNFL and perimacular GCL were measured using an automated segmentation algorithm. Voxel-based morphometry protocols were applied to process DT-MRI data. We investigated the association between retinal layer thickness with voxel-wise gray matter density and white matter microstructure by performing linear regression models. We found that thinner RNFL and GCL were associated with lower gray matter density in the visual cortex, and with lower fractional anisotropy and higher mean diffusivity in white matter tracts that are part of the optic radiation. Furthermore, thinner GCL was associated with lower gray matter density of the thalamus. Thinner RNFL and GCL are associated with gray and white matter changes in the visual pathway suggesting that retinal thinning on OCT may be specifically associated with changes in the visual pathway rather than with changes in the global brain. These findings may serve as a basis for understanding visual symptoms in elderly patients, patients with Alzheimer's disease, or patients with posterior cortical atrophy.

Indexed as

AgedAlgorithmsBrainCohort StudiesCross-Sectional StudiesFemaleHumansImage Processing, Computer-AssistedMaleOrgan SizePattern Recognition, AutomatedRetinaTomography, Optical CoherenceVisual Pathwaysbrainmagnetic resonance imagingpopulation-based studyretinavisual pathwaysvoxel-based morphometry

Identifiers

PMID29935103
PMCPMC6866563
OpenAlexW2810161440

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.