Evidence map›Paper›PMID 39614308›Full record

ReviewJournal of neuroinflammation2024

Imaging the eye as a window to brain health: frontier approaches and future directions.

Hasan U Banna, Mary Slayo, James A Armitage, Blanca Del Rosal, Loretta Vocale, Sarah J Spencer

Abstract readReview
In one paragraph

Review in Journal of neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Complement in brain and eye disease: shared mechanisms, convergent pathologies, and common therapeutic opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  9. Article
  10. Beyond the dataset: integrating public voices in data science.Research involvement and engagement · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. 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

6 authors.

Hasan U BannaSchool of Health and Biomedical Sciences, RMIT University, Bundoora, Melbourne, VIC, Australia.
Mary SlayoSchool of Health and Biomedical Sciences, RMIT University, Bundoora, Melbourne, VIC, Australia.
James A ArmitageSchool of Medicine (Optometry), Deakin University, Waurn Ponds, VIC, Australia.
Blanca Del RosalSchool of Science, RMIT University, Melbourne, VIC, Australia.
Loretta VocaleSchool of Health and Biomedical Sciences, RMIT University, Bundoora, Melbourne, VIC, Australia.
Sarah J SpencerSchool of Health and Biomedical Sciences, RMIT University, Bundoora, Melbourne, VIC, Australia. sarah.spencer@rmit.edu.au.

Funding

ARC DP230101331JPND JPND2021-650-233NHMRC 2019196
6 · The paper itself

Abstract

Recent years have seen significant advances in diagnostic testing of central nervous system (CNS) function and disease. However, there remain challenges in developing a comprehensive suite of non- or minimally invasive assays of neural health and disease progression. Due to the direct connection with the CNS, structural changes in the neural retina, retinal vasculature and morphological changes in retinal immune cells can occur in parallel with disease conditions in the brain. The retina can also, uniquely, be assessed directly and non-invasively. For these reasons, the retina may prove to be an important "window" for revealing and understanding brain disease. In this review, we discuss the gross anatomy of the eye, focusing on the sensory and non-sensory cells of the retina, especially microglia, that lend themselves to diagnosing brain disease by imaging the retina. We include a history of ocular imaging to describe the different imaging approaches undertaken in the past and outline current and emerging technologies including retinal autofluorescence imaging, Raman spectroscopy, and artificial intelligence image analysis. These new technologies show promising potential for retinal imaging to be used as a tool for the diagnosis of brain disorders such as Alzheimer's disease and others and the assessment of treatment success.

Indexed as

BrainAnimalsBrain DiseasesHumansOptical ImagingRetina

Identifiers

PMID39614308
PMCPMC11606158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.