PlumX Metrics
Embed PlumX Metrics

Color and Spatial Frequency Provide Functional Signatures of Retinotopic Visual Areas

bioRxiv, ISSN: 2692-8205
2022
  • 0
    Citations
  • 0
    Usage
  • 0
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Color and Spatial Frequency ProvideFunctional Signatures of RetinotopicVisual Areas (Updated September 5, 2023)

2023 SEP 15 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Life Science Daily -- According to news reporting based on a preprint

Article Description

Primate vision relies on retinotopically organized cortex defined by representations of hemifield (upper versus lower visual field), eccentricity (fovea versus periphery), and area (V1, V2, V3, V4). To test for the functional signatures of these organizing principles, we used fMRI to measure responses to colored gratings with varying spatial frequency, color, and saturation across rentinotopically defined parcels in macaque monkeys. Using an approach we call Sparse Supervised Embedding (SSE), we identified stimulus features that differed most across the cortical parcels. Constraining the model according to each voxel’s eccentricity revealed the expected variation of spatial frequency and S-cone modulation with eccentricity. Constraining according to voxel dorsal-ventral location and retinotopic area, revealed two additional components which together provide unexpected functional signatures. First earlier visual areas were more sensitive to contrast and saturation compared to later areas. Second, ventral parcels responded less to luminance contrast and more to color, particularly along the orange-blue intermediate axis in cone-opponent color space. This dorsal-ventral asymmetry resembles differences between candidate dorsal and ventral subdivisions of human V4 but extends to include all retinotopic visual areas, with a magnitude that increased from V1 to V4. Overall, our study demonstrates SSE as a data-driven tool for generating hypotheses about cortical function and behavior, and provides insight into the functional roles of different retinotopic areas.

Bibliographic Details

Spencer R. Loggia; Stuart J. Duffield; Kurt Braunlich; Bevil R. Conway

Cold Spring Harbor Laboratory

Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; Immunology and Microbiology; Neuroscience; Pharmacology, Toxicology and Pharmaceutics

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know