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Related Concept Videos

Vision01:24

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
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Related Experiment Video

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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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A method for mapping retinal images in early visual cortical areas.

Matthew Defenderfer1, Pinar Demirayak1, Kristina M Visscher1

  • 1Civitan International Research Center, University of Alabama at Birmingham, Birmingham, AL; Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL.

Neuroimage
|November 19, 2021
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Summary

This study introduces a novel, user-friendly method to map retinal objects onto the visual cortex without functional scans. The software models retinal representations, aiding research in patient populations with fixation difficulties.

Keywords:
Population receptive fieldRetino-cortical mappingVisual cortexfMRIretinotopic map

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Medical Imaging

Background:

  • The visual cortex exhibits well-defined retinotopic organization, crucial for understanding visual processing.
  • Current retino-cortical mapping methods (functional localizers, population receptive field mapping) are time-consuming, require participant compliance, and depend on stable fixation.
  • These limitations pose challenges in patient populations, particularly those with difficulties maintaining fixation.

Purpose of the Study:

  • To develop a user-friendly method for transforming retinal objects into their corresponding cortical surface representations.
  • To enable retino-cortical mapping without the need for dedicated functional magnetic resonance imaging (fMRI) scans.
  • To provide a tool beneficial for research involving patient populations with fixation instability.

Main Methods:

  • Modeled the retinal representation of each cortical vertex as a 2D Gaussian, using a published retinotopic atlas for location and spatial extent.
  • Calculated the expected cortical response to a retinal object by multiplying the object with the Gaussian population receptive field (pRF) of each vertex.
  • Validated the method using Blood-oxygen-level-dependent (BOLD) data and showed good agreement with predicted values.

Main Results:

  • The developed method successfully transformed retinal objects to their expected cortical representations.
  • Validation using BOLD data confirmed good agreement between predicted and actual activation patterns.
  • The approach allows for cortical localization of visual stimuli or retinal defects without functional scanning.

Conclusions:

  • A novel, user-friendly software tool was developed for retino-cortical mapping without functional scans.
  • This method overcomes limitations of existing techniques, especially for patient populations with fixation instability.
  • The publicly available software can advance research in visual neuroscience and clinical applications.