Multi-area visuotopic map complexes in macaque striate and extra-striate cortex

Polimeni, J.R.; Balasubramanian, M.; Schwartz, E.L.

doi:10.1016/j.visres.2006.03.006

Cited by 72Visual perception and processing mechanismsTactile and Sensory InteractionsFace Recognition and Perception

Multi-area visuotopic map complexes in macaque striate and extra-striate cortex

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Polimeni, J.R., Balasubramanian, M., Schwartz, E.L.·2006·Vision Research

DOI 10.1016/j.visres.2006.03.006PMC PMC2248457

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Abstract

We propose that a simple, closed-form mathematical expression-the Wedge-Dipole mapping-provides a concise approximation to the full-field, two-dimensional topographic structure of macaque V1, V2, and V3. A single map function, which we term a map complex, acts as a simultaneous descriptor of all three areas. Quantitative estimation of the Wedge-Dipole parameters is provided via 2DG data of central-field V1 topography and a publicly available data set of full-field macaque V1 and V2 topography. Good quantitative agreement is obtained between the data and the model presented here. The increasing importance of fMRI-based brain imaging motivates the development of more sophisticated two-dimensional models of cortical visuotopy, in contrast to the one-dimensional approximations that have been in common use. One reason is that topography has traditionally supplied an important aspect of "ground truth," or validation, for brain imaging, suggesting that further development of high-resolution fMRI will be facilitated by this data analysis. In addition, several important insights into the nature of cortical topography follow from this work. The presence of anisotropy in cortical magnification factor is shown to follow mathematically from the shared boundary conditions at the V1-V2 and V2-V3 borders, and therefore may not causally follow from the existence of columnar systems in these areas, as is widely assumed. An application of the Wedge-Dipole model to localizing aspects of visual processing to specific cortical areas-extending previous work in correlating V1 cortical magnification factor to retinal anatomy or visual psychophysics data-is briefly discussed.

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Many aspects of the model, including the transformation from visual space to cortical surface, will easily generalize to higher visual areas.
“Many aspects of our model, including the transformation from visual space to cortical surface63,65,92, will easily generalize to these higher visual areas.”
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“• In Equations 1, 2, 3 and 4 we use a = 0.75 , k = 17.3 , b = 120 , and α = 0.95 , based on a fit by Polimeni et al., 2006 on data of the human V1 from Horton, 1991 .”
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Authors: Polimeni, J. R., Balasubramanian, M., & Schwartz, E. L.
Affiliations: Boston University (US)
Corresponding author: Schwartz, E.L.
ORCID: Balasubramanian, M.
Schwartz, E.L.
Venue: Vision Research
Publisher: Elsevier BV
Published: 2006-10
Volume: 46
Issue: 20
Pages: 3336-3359
ISSN: 0042-6989 (ISSN-L)
DOI: 10.1016/j.visres.2006.03.006
PMC: PMC2248457
OpenAlex: W2102263824
Cited by: 71
References: 109
Citations by year: 2026: 2 · 2025: 4 · 2024: 6 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 3 · 2017: 1 · 2016: 3 · 2015: 6 · 2014: 2 · 2013: 5 · 2012: 7
FWCI: 1.62
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 2482 d)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Vision Research (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
OpenBU (Boston University) (submittedVersion)
Funders: National Institutes of Health
National Institute of Biomedical Imaging and Bioengineering (R01EB001550, EB001550)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords: extrastriate cortex
MeSH terms: Animals, Brain Mapping, Macaca fascicularis, Magnetic Resonance Imaging, Models, Neurological, Visual Cortex, Visual Fields

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Multi-area visuotopic map complexes in macaque striate and extra-striate cortex

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