Evidence map›Paper›PMID 38153752›Full record

ArticleInvestigative ophthalmology & visual science2023

The Association of Retinal Microvasculature With Gray Matter Changes and Structural Covariance Network: A Voxel-Based Morphometry Study.

Junfeng Liu, Wendan Tao, Xiaonan Guo, William Robert Kwapong, Chen Ye, Anmo Wang, Xinmao Wu, Zhetao Wang, Ming Liu

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Junfeng LiuDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Wendan TaoDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Xiaonan GuoSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
William Robert KwapongDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Chen YeDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Anmo WangDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Xinmao WuDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Zhetao WangDepartment of Radiology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Ming LiuDepartment of Neurology, West China Hospital, Sichuan University China, Chengdu, Sichuan Province, China.
Sichuan University · CNWest China Hospital of Sichuan University · CNYanshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Increasing evidence suggests that retinal microvasculature may reflect global cerebral atrophy. However, little is known about the relation of retinal microvasculature with specific brain regions and brain networks. Therefore, we aimed to unravel the association of retinal microvasculature with gray matter changes and structural covariance network using a voxel-based morphometry (VBM) analysis. Methods: One hundred and forty-four volunteers without previously known neurological diseases were recruited from West China Hospital, Sichuan University between April 1, 2021, and December 31, 2021. Retinal microvasculature of superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) were measured by optical coherence tomography angiography using an automatic segmentation. The VBM and structural covariance network analyses were applied to process brain magnetic resonance imaging (MRI) images. The associations of retinal microvasculature with voxel-wise gray matter volumes and structural covariance network were assessed by linear regression models. Results: In the study, 137 participants (mean age = 59.72 years, 37.2% men) were included for the final analysis. Reduced perfusion in SVP was significantly associated with reduced voxel-wise gray matter volumes of the brain regions including the insula, putamen, occipital, frontal, and temporal lobes, all of which were located in the anterior part of the brain supplied by internal carotid artery, except the occipital lobe. In addition, these regions were also involved in visual processing and cognitive impairment (such as left inferior occipital gyrus, left lingual gyrus, and right parahippocampal gyrus). In regard to the structural covariance, the perfusions in SVP were positively related to the structural covariance of the left lingual gyrus seed with the left middle occipital gyrus, the right middle occipital gyrus, and the left middle frontal gyrus. Conclusions: Poor perfusion in SVP was correlated with reduced voxel-wise gray matter volumes and structural covariance networks in regions related to visual processing and cognitive impairment. It suggests that retinal microvasculature may offer a window to identify aging related cerebral alterations.

Indexed as

Cerebral CortexGray MatterBrainFemaleHumansMaleMicrovesselsMiddle AgedOccipital Lobe

Identifiers

PMID38153752
PMCPMC10756243
OpenAlexW4390347592

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.