Literature DB >> 16840874

Evaluation of a two-stage neural model of glaucomatous defect: an approach to reduce test-retest variability.

Fei Pan1, William H Swanson, Mitchell W Dul.   

Abstract

PURPOSE: The purpose of this study is to model perimetric defect and variability and identify stimulus conditions that can reduce variability while retaining good ability to detect glaucomatous defects.
METHODS: The two-stage neural model of Swanson et al. was extended to explore relations among perimetric defect, response variability, and heterogeneous glaucomatous ganglion cell damage. Predictions of the model were evaluated by testing patients with glaucoma using a standard luminance increment 0.43 degrees in diameter and two innovative stimuli designed to tap cortical mechanisms tuned to low spatial frequencies. The innovative stimuli were a luminance-modulated Gabor stimulus (0.5 c/deg) and circular equiluminant red-green chromatic stimuli whose sizes were close to normal Ricco's areas for the chromatic mechanism. Seventeen patients with glaucoma were each tested twice within a 2-week period. Sensitivities were measured at eight locations at eccentricities from 10 degrees to 21 degrees selected in terms of the retinal nerve fiber bundle patterns. Defect depth and response (test-retest) variability were compared for the innovative stimuli and the standard stimulus.
RESULTS: The model predicted that response variability in defective areas would be lower for our innovative stimuli than for the conventional perimetric stimulus with similar defect depths if detection of the chromatic and Gabor stimuli was mediated by spatial mechanisms tuned to low spatial frequencies. Experimental data were consistent with these predictions. Depth of defect was similar for all three stimuli (F = 1.67, p > 0.19). Mean response variability was lower for the chromatic stimulus than for the other stimuli (F = 5.58, p < 0.005) and was lower for the Gabor stimulus than for the standard stimulus in areas with more severe defects (t = 2.68, p < 0.005). Variability increased with defect depth for the standard and Gabor stimuli (p < 0.005) but not for the chromatic stimulus (slope less than zero).
CONCLUSIONS: Use of large perimetric stimuli detected by cortical mechanisms tuned to low spatial frequencies can make it possible to lower response variability without comprising the ability to detect glaucomatous defect.

Entities:  

Mesh:

Year:  2006        PMID: 16840874      PMCID: PMC1808334          DOI: 10.1097/01.opx.0000225091.60457.f4

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  52 in total

1.  Chromatic and achromatic defects in patients with progressing glaucoma.

Authors:  P Pearson; W H Swanson; R L Fellman
Journal:  Vision Res       Date:  2001-04       Impact factor: 1.886

2.  False-negative responses in glaucoma perimetry: indicators of patient performance or test reliability?

Authors: 
Journal:  Am J Ophthalmol       Date:  2000-11       Impact factor: 5.258

3.  Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm.

Authors:  V C Smith; J Pokorny
Journal:  Vision Res       Date:  1975-02       Impact factor: 1.886

4.  Modeling the dynamics of light adaptation: the merging of two traditions.

Authors:  N Graham; D C Hood
Journal:  Vision Res       Date:  1992-07       Impact factor: 1.886

5.  Variability in patients with glaucomatous visual field damage is reduced using size V stimuli.

Authors:  M Wall; K E Kutzko; B C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  1997-02       Impact factor: 4.799

6.  Test-retest variability in glaucomatous visual fields.

Authors:  A Heijl; A Lindgren; G Lindgren
Journal:  Am J Ophthalmol       Date:  1989-08-15       Impact factor: 5.258

7.  The use of different-sized stimuli in automated perimetry.

Authors:  J T Wilensky; J R Mermelstein; H G Siegel
Journal:  Am J Ophthalmol       Date:  1986-06-15       Impact factor: 5.258

8.  Probability summation and regional variation in contrast sensitivity across the visual field.

Authors:  J G Robson; N Graham
Journal:  Vision Res       Date:  1981       Impact factor: 1.886

9.  Quantitative estimations of foveal and extra-foveal retinal circuitry in humans.

Authors:  J Sjöstrand; V Olsson; Z Popovic; N Conradi
Journal:  Vision Res       Date:  1999-09       Impact factor: 1.886

10.  Threshold and variability properties of matrix frequency-doubling technology and standard automated perimetry in glaucoma.

Authors:  Paul H Artes; Donna M Hutchison; Marcelo T Nicolela; Raymond P LeBlanc; Balwantray C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-07       Impact factor: 4.799

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  20 in total

1.  Estimation of spatial scale across the visual field using sinusoidal stimuli.

Authors:  Kelsey M Keltgen; William H Swanson
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-02-02       Impact factor: 4.799

2.  Development and evaluation of a linear staircase strategy for the measurement of perimetric sensitivity.

Authors:  Rizwan Malik; William H Swanson; David F Garway-Heath
Journal:  Vision Res       Date:  2006-06-09       Impact factor: 1.886

3.  Ganglion cell loss and age-related visual loss: a cortical pooling analysis.

Authors:  Pauline M Pearson; Laura A Schmidt; Emily Ly-Schroeder; William H Swanson
Journal:  Optom Vis Sci       Date:  2006-07       Impact factor: 1.973

4.  A cortical pooling model of spatial summation for perimetric stimuli.

Authors:  Fei Pan; William H Swanson
Journal:  J Vis       Date:  2006-10-13       Impact factor: 2.240

5.  Variability of visual field measurements is correlated with the gradient of visual sensitivity.

Authors:  Harry J Wyatt; Mitchell W Dul; William H Swanson
Journal:  Vision Res       Date:  2007-02-23       Impact factor: 1.886

6.  Assessment of contrast gain signature in inferred magnocellular and parvocellular pathways in patients with glaucoma.

Authors:  Hao Sun; William H Swanson; Brian Arvidson; Mitchell W Dul
Journal:  Vision Res       Date:  2008-05-23       Impact factor: 1.886

7.  Automated perimetry: using gaze-direction data to improve the estimate of scotoma edges.

Authors:  Harry J Wyatt
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-07-29       Impact factor: 4.799

Review 8.  Does Retinal Ganglion Cell Loss Precede Visual Field Loss in Glaucoma?

Authors:  Donald C Hood
Journal:  J Glaucoma       Date:  2019-11       Impact factor: 2.503

9.  Rapid pupil-based assessment of glaucomatous damage.

Authors:  Yanjun Chen; Harry J Wyatt; William H Swanson; Mitchell W Dul
Journal:  Optom Vis Sci       Date:  2008-06       Impact factor: 1.973

10.  Evaluation of the Structure-Function Relationship in Glaucoma Using a Novel Method for Estimating the Number of Retinal Ganglion Cells in the Human Retina.

Authors:  Ali S Raza; Donald C Hood
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-08       Impact factor: 4.799

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