Evidence map›Paper›PMID 36909943›Full record

ArticleFrontiers in aging neuroscience2023

Correlation between retinal structure and brain multimodal magnetic resonance imaging in patients with Alzheimer's disease.

Xiaoli Hao, Weiwei Zhang, Bin Jiao, Qijie Yang, Xinyue Zhang, Ruiting Chen, Xin Wang, Xuewen Xiao, Yuan Zhu, Weihua Liao and 2 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
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

12 authors.

Xiaoli HaoDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Weiwei ZhangDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Bin JiaoDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Qijie YangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Xinyue ZhangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Ruiting ChenDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Xin WangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Xuewen XiaoDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Yuan ZhuDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Dongcui WangDepartment of Radiology, Xiangya Hospital of Central South University, Changsha, China.
Lu ShenDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The retina imaging and brain magnetic resonance imaging (MRI) can both reflect early changes in Alzheimer's disease (AD) and may serve as potential biomarker for early diagnosis, but their correlation and the internal mechanism of retinal structural changes remain unclear. This study aimed to explore the possible correlation between retinal structure and visual pathway, brain structure, intrinsic activity changes in AD patients, as well as to build a classification model to identify AD patients. Methods: In the study, 49 AD patients and 48 healthy controls (HCs) were enrolled. Retinal images were obtained by optical coherence tomography (OCT). Multimodal MRI sequences of all subjects were collected. Spearman correlation analysis and multiple linear regression models were used to assess the correlation between OCT parameters and multimodal MRI findings. The diagnostic value of combination of retinal imaging and brain multimodal MRI was assessed by performing a receiver operating characteristic (ROC) curve. Results: Compared with HCs, retinal thickness and multimodal MRI findings of AD patients were significantly altered ( Conclusion: Our study demonstrated that retinal structure change was related to the loss of integrity of white matter fiber tracts in the visual pathway and the decreased LGN volume and functional metabolism of V1 in AD patients. Trans-synaptic axonal retrograde lesions may be the underlying mechanism. Combining retinal imaging and multimodal MRI may provide new insight into the mechanism of retinal structural changes in AD and may serve as new target for early auxiliary diagnosis of AD.

Indexed as

Alzheimer’s diseasebiomarkermultimodal magnetic resonance imagingretinavisual pathway

Identifiers

PMID36909943
PMCPMC9992546

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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.