Abstract

Although the contrast sensitivity function (CSF) is a particularly useful way of characterising functional vision, its measurement relies on observers making reliable perceptual reports. Such procedures can be challenging when testing children. Here we describe a system for measuring the CSF using an automated analysis of optokinetic nystagmus (OKN); an involuntary oscillatory eye movement made in response to drifting stimuli, here spatial-frequency (SF) band-pass noise. Quantifying the strength of OKN in the stimulus direction allows us to estimate contrast sensitivity across a range of SFs. We compared the CSFs of 30 observers with normal vision measured using both OKN and perceptual report. The approaches yield near-identical CSFs (mean R = 0.95) that capture subtle intra-observer variations in visual acuity and contrast sensitivity (both R = 0.84, p < 0.0001). Trial-by-trial analysis reveals high correlation between OKN and perceptual report, a signature of a common neural mechanism for determining stimulus direction. We also observe conditions where OKN and report are significantly decorrelated as a result of a minority of observers experiencing direction-reversals that are not reflected by OKN. We conclude that there are a wide range of stimulus conditions for which OKN can provide a valid alternative means of measuring of the CSF.

Highlights

  • The contrast sensitivity function (CSF) is a useful way of characterising functional vision, its measurement relies on observers making reliable perceptual reports

  • Note that the peaks of these functions are shifted in relation to one another: at high spatial frequencies (SFs) most optokinetic nystagmus (OKN) is elicited at low velocities, while for low SFs more OKN is elicited at high velocities

  • We have described an automated method for measuring a contrast sensitivity function (CSF) using an automated analysis of optokinetic nystagmus (OKN) and compared the results to a CSF obtained using conventional perceptual report (ΨCSF)

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Summary

Introduction

The contrast sensitivity function (CSF) is a useful way of characterising functional vision, its measurement relies on observers making reliable perceptual reports. In the lab one measures the minimum contrast (threshold) supporting detection of a pattern at different spatial frequencies (SFs), to derive a psychophysical contrast sensitivity function ΨCSF2 Such a procedure is too slow to use in the clinic, and adaptive alternatives[3,4] use Bayesian inference to determine the optimal combination of contrast and SF to present on a given trial. Alternative, objective estimates of the CSF have been obtained with scalp-recordings of visual-evoked potentials (VEPs) that correlate well with psychophysical measurements at lower SFs (transient VEPs, R2 = 0.81 with dynamic stimuli[9]) Both pattern-reversal VEPs10,11 and “sweep” VEPs (that cycles through a set of SFs and contrasts) produce CSFs of similar shape to the ΨCSF, but with substantially lower sensitivity (e.g. 0.62–0.79 log units[12]). Like OFR, MT/MST is involved in generation of OKN e.g. lesions in these areas in macaques leads to inaccurate tracking during OKN21

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