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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
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Related Experiment Video

Updated: Oct 10, 2025

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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Prediction of glaucoma severity using parameters from the electroretinogram.

Marc Sarossy1, Jonathan Crowston2, Dinesh Kumar3

  • 1Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC, Australia. marc@sarossy.com.

Scientific Reports
|December 14, 2021
PubMed
Summary

This study reveals that electroretinogram (ERG) markers beyond the photopic negative response (PhNR) can better predict glaucoma severity. Utilizing all ERG parameters, especially with non-linear models, enhances the assessment of retinal ganglion cell function.

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Area of Science:

  • Ophthalmology
  • Neuroscience
  • Medical Imaging

Background:

  • Glaucoma is an optic neuropathy characterized by progressive retinal ganglion cell (RGC) loss.
  • Functional changes in RGCs precede detectable cell loss.
  • The electroretinogram (ERG), particularly the photopic negative response (PhNR), is used to assess RGC function.

Purpose of the Study:

  • To investigate if additional ERG parameters, non-linear modeling (MARS), and achromatic stimuli improve glaucoma severity prediction.
  • To compare the predictive power of PhNR alone versus comprehensive ERG markers.
  • To evaluate the utility of achromatic versus chromatic stimuli in ERG-based glaucoma assessment.

Main Methods:

  • Recorded ERGs, including PhNR, a-wave, b-wave, i-wave, and b- to i-wave trough, from 103 eyes of 55 glaucoma patients.
  • Utilized both chromatic (red-on-blue) and achromatic (white-on-white) stimuli of equal luminance.
  • Applied linear and multivariate adaptive regression splines (MARS) models to predict glaucoma severity determined by perimetry and OCT.

Main Results:

  • All ERG markers collectively predicted glaucoma severity significantly better than PhNR alone (P ≤ 0.02).
  • MARS models outperformed linear models when using all ERG markers (P = 0.01).
  • No significant difference was found between achromatic and chromatic stimulus models.

Conclusions:

  • The photopic ERG contains substantial information beyond the conventional PhNR for characterizing RGC function and predicting glaucoma severity.
  • Comprehensive analysis of ERG parameters, particularly with advanced modeling techniques like MARS, offers a more robust assessment of glaucoma.
  • Achromatic stimuli are as effective as chromatic stimuli for this purpose.