Evidence map›Paper›PMID 41910525›Full record

ArticleInvestigative ophthalmology & visual science2026

Detailed Outer Retinal Assessment in Parkinson's Disease Using Directional OCT.

Jingjing Lin, Pei Ying Lee, Katie K N Tran, David I Finkelstein, Bang V Bui, Christine T O Nguyen

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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.

Jingjing LinDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
Pei Ying LeeDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
Katie K N TranDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
David I FinkelsteinFlorey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.
Bang V BuiDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
Christine T O NguyenDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to compare outer retinal thickness and reflectivity using directional OCT between people living with Parkinson's disease (PD) and age-matched controls. Methods: Fourteen neurologist-confirmed people living with PD and 18 age-matched healthy controls participated. To measure the true outer nuclear layer (ONL) (composed of photoreceptor cell bodies) rather than the conventional presumed or standard ONL (ONL plus Henle fiber layer [HFL], which includes photoreceptor processes), off-axis (directional) OCT scans were acquired by altering the incident beam angle. Combined with on-axis (standard) line scans to yield HFL, true ONL and HFL thicknesses as well as ellipsoid zone (EZ) reflectivity were measured and compared between groups using a mixed-effects analysis. Results: Directional OCT revealed that true ONL comprises 63% of the presumed ONL thickness. Compared with healthy controls, the PD group showed a thicker true ONL and a thinner HFL (P < 0.05), whereas the combined ONL and HFL thickness was not different (P > 0.05). The EZ band exhibited lower reflectance in PD participants than healthy controls at the fovea and parafoveal regions (P < 0.05). Conclusions: Directional OCT reveals that people with PD have a thicker photoreceptor nuclear layer and a thinner layer of photoreceptor processes. These opposing effects are not detectable using standard on-axis OCT alone. The EZ band is rich in mitochondria, and a lower reflectivity in PD participants may be indicative of metabolic changes in PD. These detailed examinations of the outer retina facilitate a deeper understanding of PD-related photoreceptor changes.

Indexed as

Parkinson DiseaseRetinaTomography, Optical CoherenceAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID41910525
PMCPMC13037748

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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.