Mesoscale functional organization and connectivity of color, disparity, and naturalistic texture in human second visual area

Although parallel processing has been extensively studied in the low-level geniculostriate pathway and the high-level dorsal and ventral visual streams, less is known at the intermediate-level visual areas. In this study, we employed high-resolution fMRI at 7T to investigate the columnar and laminar organizations for color, disparity, and naturalistic texture in the human secondary visual cortex (V2), and their informational connectivity with lower- and higher-order visual areas. Although fMRI activations in V2 showed reproducible interdigitated color-selective thin and disparity-selective thick ‘stripe’ columns, we found no clear evidence of columnar organization for naturalistic textures. Cortical depth-dependent analyses revealed the strongest color-selectivity in the superficial layers of V2, along with both feedforward and feedback informational connectivity with V1 and V4. Disparity selectivity was similar across different cortical depths of V2, which showed significant feedforward and feedback connectivity with V1 and V3ab. Interestingly, the selectivity for naturalistic texture was strongest in the deep layers of V2, with significant feedback connectivity from V4. Thus, while local circuitry within cortical columns is crucial for processing color and disparity information, feedback signals from V4 are involved in generating the selectivity for naturalistic textures in area V2.

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Publication Details

Journal
eLife
Published
2025-03-20
DOI
https://doi.org/10.7554/elife.93171.3
Citations
3
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
4.29

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article

Mesoscale functional organization and connectivity of color, disparity, and naturalistic texture in human second visual area

Nihong Chen, Hailin Ai, Chengwen Liu, Peng Zhang et al.
3 citations
eLife
Visual perception and processing mechanisms
4.29
article

Mesoscale functional organization and connectivity of color, disparity, and naturalistic texture in human second visual area

Nihong Chen, Hailin Ai, Chengwen Liu, Peng Zhang, Wei‐Ru Lin
article en
3 citations

Abstract

Although parallel processing has been extensively studied in the low-level geniculostriate pathway and the high-level dorsal and ventral visual streams, less is known at the intermediate-level visual areas. In this study, we employed high-resolution fMRI at 7T to investigate the columnar and laminar organizations for color, disparity, and naturalistic texture in the human secondary visual cortex (V2), and their informational connectivity with lower- and higher-order visual areas. Although fMRI activations in V2 showed reproducible interdigitated color-selective thin and disparity-selective thick ‘stripe’ columns, we found no clear evidence of columnar organization for naturalistic textures. Cortical depth-dependent analyses revealed the strongest color-selectivity in the superficial layers of V2, along with both feedforward and feedback informational connectivity with V1 and V4. Disparity selectivity was similar across different cortical depths of V2, which showed significant feedforward and feedback connectivity with V1 and V3ab. Interestingly, the selectivity for naturalistic texture was strongest in the deep layers of V2, with significant feedback connectivity from V4. Thus, while local circuitry within cortical columns is crucial for processing color and disparity information, feedback signals from V4 are involved in generating the selectivity for naturalistic textures in area V2.

eLifeVol. 13
McGovern Institute for Brain Research (US), Hunan Normal University (CN), Chinese Academy of Sciences (CN), Czech Academy of Sciences, Institute of Biophysics (CZ), Institute of Art (PL), National Science Centre (PL), University of Chinese Academy of Sciences (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 7%
Visual perception and processing mechanisms
4.29
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