Glaucoma Classification Through SSVEP-Derived ON- and OFF-Pathway Features

Electrophysiological estimates of visual signal delay should be considered in future clinical diagnostic tools as they make a material contribution to the classification of glaucomatous eyes.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2026-01-05
DOI
https://doi.org/10.1167/tvst.15.1.2
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Glaucoma Classification Through SSVEP-Derived ON- and OFF-Pathway Features

R. Tibshirani, Alexandra Yakovleva, Jeffrey L. Goldberg, Anthony M. Norcia et al.
Translational Vision Science & Technology
Retinal Imaging and Analysis
article

Glaucoma Classification Through SSVEP-Derived ON- and OFF-Pathway Features

R. Tibshirani, Alexandra Yakovleva, Jeffrey L. Goldberg, Anthony M. Norcia, Martin T. W. Scott, Hui Xu
article en

Abstract

Electrophysiological estimates of visual signal delay should be considered in future clinical diagnostic tools as they make a material contribution to the classification of glaucomatous eyes.

Translational Vision Science & TechnologyVol. 15(1)
Stanford University (US)
Glaucoma Research Foundation, Research to Prevent Blindness
Openalex Percentile: Top 98%
Retinal Imaging and Analysis
DOIOpen Access PDFOpenAlex
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