Literature DB >> 18484840

What limits performance in the amblyopic visual system: seeing signals in noise with an amblyopic brain.

Dennis M Levi1, Stanley A Klein, Inning Chen.   

Abstract

Amblyopia results in a loss of visual acuity, contrast sensitivity, and position acuity. However, the nature of the neural losses is not yet fully understood. Here we report the results of experiments using noise to try to better understand the losses in amblyopia. Specifically, in one experiment we compared the performance of normal, amblyopic, and ideal observers for detecting a localized signal (a discrete frequency pattern or DFP) in fixed contrast white noise. In a second experiment, we used visibility-scaled noise and varied both the visibility of the noise (from 2 to 20 times the noise detection threshold) and the spatial frequency of the signal. Our results show a loss of efficiency for detection of known signals in noise that increases with the spatial frequency of the signal in observers with amblyopia. To determine whether the loss of efficiency was a consequence of a mismatched template, we derived classification images. We found that although the amblyopic observers' template was shifted to lower spatial frequencies, the shift was insufficient to account for their threshold elevation. Reduced efficiency in the amblyopic visual system may reflect a high level of internal noise, a poorly matched position template, or both. To analyze the type of internal noise we used an "N-pass" technique, in which observers performed the identical experiment N times (where N = 3 or 4). The amount of disagreement between the repeated trials enables us to parse the internal noise into random noise and consistent noise beyond that due to the poorly matched template. Our results show that the amblyopes' reduced efficiency for detecting signals in noise is explained in part by reduced template efficiency but to a greater extent by increased random internal noise. This loss is more or less independent of external noise contrast over a log unit range of external noise.

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Year:  2008        PMID: 18484840     DOI: 10.1167/8.4.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  22 in total

1.  Psychophysical reverse correlation with multiple response alternatives.

Authors:  Huanping Dai; Christophe Micheyl
Journal:  J Exp Psychol Hum Percept Perform       Date:  2010-08       Impact factor: 3.332

Review 2.  Linking assumptions in amblyopia.

Authors:  Dennis M Levi
Journal:  Vis Neurosci       Date:  2013-07-24       Impact factor: 3.241

3.  Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia.

Authors:  Katerina Acar; Lynne Kiorpes; J Anthony Movshon; Matthew A Smith
Journal:  J Neurophysiol       Date:  2019-09-25       Impact factor: 2.714

4.  Effects of anisometropic amblyopia on visuomotor behavior, I: saccadic eye movements.

Authors:  Ewa Niechwiej-Szwedo; Herbert C Goltz; Manokaraananthan Chandrakumar; Zahra A Hirji; Agnes M F Wong
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-07-29       Impact factor: 4.799

5.  Effects of anisometropic amblyopia on visuomotor behavior, part 2: visually guided reaching.

Authors:  Ewa Niechwiej-Szwedo; Herbert C Goltz; Manokaraananthan Chandrakumar; Zahra Hirji; J Douglas Crawford; Agnes M F Wong
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-02-09       Impact factor: 4.799

6.  Both saccadic and manual responses in the amblyopic eye of strabismics are irreducibly delayed.

Authors:  Christina Gambacorta; Jian Ding; Suzanne P McKee; Dennis M Levi
Journal:  J Vis       Date:  2018-03-01       Impact factor: 2.240

7.  Noisy Spiking in Visual Area V2 of Amblyopic Monkeys.

Authors:  Ye Wang; Bin Zhang; Xiaofeng Tao; Janice M Wensveen; Earl L Smith; Yuzo M Chino
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

8.  Rethinking amblyopia 2020.

Authors:  Dennis M Levi
Journal:  Vision Res       Date:  2020-08-28       Impact factor: 1.886

9.  Mechanisms underlying perceptual learning of contrast detection in adults with anisometropic amblyopia.

Authors:  Chang-Bing Huang; Zhong-Lin Lu; Yifeng Zhou
Journal:  J Vis       Date:  2009-10-27       Impact factor: 2.240

10.  Stochastic model for detection of signals in noise.

Authors:  Stanley A Klein; Dennis M Levi
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2009-11       Impact factor: 2.129

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