Evidence map›Paper›PMID 38975942›Full record

ArticleInvestigative ophthalmology & visual science2024

Contributions of Brain Microstructures and Metabolism to Visual Field Loss Patterns in Glaucoma Using Archetypal and Information Gain Analyses.

Yueyin Pang, Ji Won Bang, Anisha Kasi, Jeremy Li, Carlos Parra, Els Fieremans, Gadi Wollstein, Joel S Schuman, Mengyu Wang, Kevin C Chan

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Yueyin PangDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Ji Won BangDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Anisha KasiDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Jeremy LiDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Carlos ParraDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Els FieremansDepartment of Radiology, New York University Grossman School of Medicine, New York, New York, United States.
Gadi WollsteinDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.
Joel S SchumanWills Eye Hospital, Philadelphia, Pennsylvania, United States.
Mengyu WangSchepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States.
Kevin C ChanDepartment of Ophthalmology, New York University Grossman School of Medicine, New York, New York, United States.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Novel Glaucoma Diagnostics for Structure and Function - Renewal - 1R01EY013178 · NEI · WILLS EYE HEALTH SYSTEM · PI Joel S Schuman · 2000 to 2026
$17.5M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
Glaucoma Neuroimaging in Humans and Experimental Animal ModelsR01EY028125 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHAN, KEVIN C · 2017 to 2021
$2.2M
NEI NIH HHS R01 EY013178NEI NIH HHS R01 EY028125NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS088040
6 · The paper itself

Abstract

Purpose: To investigate the contributions of the microstructural and metabolic brain environment to glaucoma and their association with visual field (VF) loss patterns by using advanced diffusion magnetic resonance imaging (dMRI), proton magnetic resonance spectroscopy (MRS), and clinical ophthalmic measures. Methods: Sixty-nine glaucoma and healthy subjects underwent dMRI and/or MRS at 3 Tesla. Ophthalmic data were collected from VF perimetry and optical coherence tomography. dMRI parameters of microstructural integrity in the optic radiation and MRS-derived neurochemical levels in the visual cortex were compared among early glaucoma, advanced glaucoma, and healthy controls. Multivariate regression was used to correlate neuroimaging metrics with 16 archetypal VF loss patterns. We also ranked neuroimaging, ophthalmic, and demographic attributes in terms of their information gain to determine their importance to glaucoma. Results: In dMRI, decreasing fractional anisotropy, radial kurtosis, and tortuosity and increasing radial diffusivity correlated with greater overall VF loss bilaterally. Regionally, decreasing intra-axonal space and extra-axonal space diffusivities correlated with greater VF loss in the superior-altitudinal area of the right eye and the inferior-altitudinal area of the left eye. In MRS, both early and advanced glaucoma patients had lower gamma-aminobutyric acid (GABA), glutamate, and choline levels than healthy controls. GABA appeared to associate more with superonasal VF loss, and glutamate and choline more with inferior VF loss. Choline ranked third for importance to early glaucoma, whereas radial kurtosis and GABA ranked fourth and fifth for advanced glaucoma. Conclusions: Our findings highlight the importance of non-invasive neuroimaging biomarkers and analytical modeling for unveiling glaucomatous neurodegeneration and how they reflect complementary VF loss patterns.

Indexed as

Tomography, Optical CoherenceVisual FieldsVisual Field TestsAdultAgedBrainDiffusion Magnetic Resonance ImagingFemaleGlaucomaGlaucoma, Open-AngleHumansIntraocular PressureMaleMiddle AgedProton Magnetic Resonance SpectroscopyVision Disorders

Identifiers

PMID38975942
PMCPMC11232899

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.