Evidence map›Paper›PMID 32733188›Full record

ArticleFrontiers in neuroscience2020

Mapping the Contrast Sensitivity of the Visual Field With Bayesian Adaptive qVFM.

Pengjing Xu, Luis A Lesmes, Deyue Yu, Zhong-Lin Lu

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Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Pengjing XuCollege of Optometry, The Ohio State University, Columbus, OH, United States.
Luis A LesmesAdaptive Sensory Technology, Inc., San Diego, CA, United States.
Deyue YuCollege of Optometry, The Ohio State University, Columbus, OH, United States.
Zhong-Lin LuDivision of Arts and Sciences, NYU Shanghai, Shanghai, China.

Funding

Efficient Assessment of Visual Deficits and Rehabilitation Methods in AmblyopiaR01EY021553 · NEI · OHIO STATE UNIVERSITY · PI LU, ZHONG-LIN · 2012 to 2016
$2.1M
Efficient Assessment of Visual Deficits in Low VisionR01EY025658 · NEI · OHIO STATE UNIVERSITY · PI YU, DEYUE · 2016 to 2020
$1.9M
NEI NIH HHS R01 EY021553NEI NIH HHS R01 EY025658
6 · The paper itself

Abstract

Current clinical evaluation, which focuses on central vision, could be improved through characterization of residual vision with peripheral testing of visual acuity, contrast sensitivity, color vision, crowding, and reading speed. Assessing visual functions in addition to light sensitivity, a comprehensive visual field map (VFM) would be valuable for detecting and managing eye diseases. In a previous study, we developed a Bayesian adaptive qVFM method that combines a global module for preliminary assessment of the VFM's shape and a local module for assessment at individual retinal locations. The method was validated in measuring the light sensitivity VFM. In this study, we extended the qVFM method to measure contrast sensitivity across the visual field. In both simulations and psychophysics, we sampled 64 visual field locations (48 x 48 deg) and compared the qVFM method with a procedure that tested each retinal location independently (qFC; Lesmes et al., 2015). In each trial, subjects were required to identify a single optotype (size: 2.5 x 2.5 deg), one of 10 filtered Sloan letters. To compare the accuracy and precision of the two methods, three simulated eyes were tested in 1,280 trials with each method. In addition, data were collected from 10 eyes (5 OS, 5 OD) of five normal observers. For simulations, the average RMSE of the estimated contrast sensitivity with the qVFM and qFC methods were 0.057 and 0.100 after 320 trials, and 0.037 and 0.041 after 1,280 trials [all in log10 units, represent as

Indexed as

active learningautomated perimetryBayesian adaptive testingcontrast sensitivityperipheral visionSloan lettersvisual-filed map

Identifiers

PMID32733188
PMCPMC7358309

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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.