» Articles » PMID: 39329222

Frequency-of-seeing Curves (psychometric Functions) for Perimetric Stimuli in Age-related Macular Degeneration

Overview
Date 2024 Sep 27
PMID 39329222
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Frequency-of-seeing (FoS) curves (psychometric functions) for perimetric stimuli have been widely used in computer simulations of new visual field test procedures. FoS curves for age-related macular degeneration (AMD) are not available in the literature and are needed for the development of improved microperimetry test procedures, which are of particular interest for use as clinical trial endpoints.

Methods: Data were refitted from a previous study to generate FoS curves for 20 participants with AMD, each tested at nine locations within the central 10°. Stimulus parameters, background luminance and dB scale were matched to the MAIA-2 microperimeter, and stimuli were presented in a method of constant stimuli to build up FoS curves over multiple runs. FoS curves were fitted with a modified cumulative Gaussian function. The relationship between sensitivity and slope of fitted FoS curves was modelled by robust linear regression, producing models both with and without an eccentricity parameter.

Results: FoS curves were satisfactorily fitted to data from 174 visual field locations in 20 participants (age 65-83 years, 11 female). Each curve was made up of a median of 243 (range 177-297) stimulus presentations over a median of 12 (range 9-32) levels. Median sensitivity was 25.5 dB (range 3.8-31.4 dB). The median slope (SD of fitted function) was 1.6 dB (range 0.5-8.5 dB). As in previous studies of other conditions, the slope of fitted FoS curves increased as sensitivity decreased (p < 0.001).

Conclusions: FoS are provided for participants with AMD, as well as models of the relationship between sensitivity and slope. These fitted models and data may be useful for computer simulation studies of microperimetry procedures. Full details of the fitted curves are provided as supporting information.

Citing Articles

Frequency-of-seeing curves (psychometric functions) for perimetric stimuli in age-related macular degeneration.

Denniss J, Baggaley H, Astle A Ophthalmic Physiol Opt. 2024; 45(1):301-307.

PMID: 39329222 PMC: 11629837. DOI: 10.1111/opo.13396.

References
1.
Ferris 3rd F, Wilkinson C, Bird A, Chakravarthy U, Chew E, Csaky K . Clinical classification of age-related macular degeneration. Ophthalmology. 2013; 120(4):844-51. PMC: 11551519. DOI: 10.1016/j.ophtha.2012.10.036. View

2.
Russell R, Crabb D, Malik R, Garway-Heath D . The relationship between variability and sensitivity in large-scale longitudinal visual field data. Invest Ophthalmol Vis Sci. 2012; 53(10):5985-90. DOI: 10.1167/iovs.12-10428. View

3.
Henson D, Chaudry S, Artes P, Faragher E, Ansons A . Response variability in the visual field: comparison of optic neuritis, glaucoma, ocular hypertension, and normal eyes. Invest Ophthalmol Vis Sci. 2000; 41(2):417-21. View

4.
Turpin A, Artes P, McKendrick A . The Open Perimetry Interface: an enabling tool for clinical visual psychophysics. J Vis. 2012; 12(11). DOI: 10.1167/12.11.22. View

5.
Turpin A, Morgan W, McKendrick A . Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST. Transl Vis Sci Technol. 2018; 7(5):35. PMC: 6213773. DOI: 10.1167/tvst.7.5.35. View