Literature DB >> 23954427

Rapid and persistent adaptability of human oculomotor control in response to simulated central vision loss.

Miyoung Kwon1, Anirvan S Nandy, Bosco S Tjan.   

Abstract

The central region of the human retina, the fovea, provides high-acuity vision. The oculomotor system continually brings targets of interest into the fovea via ballistic eye movements (saccades). Thus, the fovea serves both as the locus for fixations and as the oculomotor reference for saccades. This highly automated process of foveation is functionally critical to vision and is observed from infancy. How would the oculomotor system adjust to a loss of foveal vision (central scotoma)? Clinical observations of patients with central vision loss suggest a lengthy adjustment period, but the nature and dynamics of this adjustment remain unclear. Here, we demonstrate that the oculomotor system can spontaneously and rapidly adopt a peripheral locus for fixation and can rereference saccades to this locus in normally sighted individuals whose central vision is blocked by an artificial scotoma. Once developed, the fixation locus is retained over weeks in the absence of the simulated scotoma. Our data reveal a basic guiding principle of the oculomotor system that prefers control simplicity over optimality. We demonstrate the importance of a visible scotoma on the speed of the adjustment and suggest a possible rehabilitation regimen for patients with central vision loss.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23954427      PMCID: PMC3773263          DOI: 10.1016/j.cub.2013.06.056

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  37 in total

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  26 in total

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5.  Homeostatic plasticity in human extrastriate cortex following a simulated peripheral scotoma.

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6.  Cortical Reorganization of Peripheral Vision Induced by Simulated Central Vision Loss.

Authors:  Nihong Chen; Kilho Shin; Rachel Millin; Yongqian Song; MiYoung Kwon; Bosco S Tjan
Journal:  J Neurosci       Date:  2019-02-27       Impact factor: 6.167

7.  Introduction to Special Issue on Perceptual Learning.

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8.  Suboptimal eye movements for seeing fine details.

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9.  Towards a whole brain model of Perceptual Learning.

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10.  Natural image and receptive field statistics predict saccade sizes.

Authors:  Jason M Samonds; Wilson S Geisler; Nicholas J Priebe
Journal:  Nat Neurosci       Date:  2018-10-22       Impact factor: 24.884

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