Literature DB >> 33531414

Population Receptive Field Shapes in Early Visual Cortex Are Nearly Circular.

Garikoitz Lerma-Usabiaga1,2,3, Jonathan Winawer4, Brian A Wandell5,2.   

Abstract

The visual field region where a stimulus evokes a neural response is called the receptive field (RF). Analytical tools combined with functional MRI (fMRI) can estimate the RF of the population of neurons within a voxel. Circular population RF (pRF) methods accurately specify the central position of the pRF and provide some information about the spatial extent (diameter) of the RF. A number of investigators developed methods to further estimate the shape of the pRF, for example, whether the shape is more circular or elliptical. There is a report that there are many pRFs with highly elliptical pRFs in early visual cortex (V1-V3; Silson et al., 2018). Large aspect ratios (>2) are difficult to reconcile with the spatial scale of orientation columns or visual field map properties in early visual cortex. We started to replicate the experiments and found that the software used in the publication does not accurately estimate RF shape: it produces elliptical fits to circular ground-truth data. We analyzed an independent data set with a different software package that was validated over a specific range of measurement conditions, to show that in early visual cortex the aspect ratios are <2. Furthermore, current empirical and theoretical methods do not have enough precision to discriminate ellipses with aspect ratios of 1.5 from circles. Through simulation we identify methods for improving sensitivity that may estimate ellipses with smaller aspect ratios. The results we present are quantitatively consistent with prior assessments using other methodologies.SIGNIFICANCE STATEMENT We evaluated whether the shape of many population receptive fields (RFs) in early visual cortex is elliptical and differs substantially from circular. We evaluated two tools for estimating elliptical models of the pRF; one tool was valid over the measured compliance range. Using the validated tool, we found no evidence that confidently rejects circular fits to the pRF in visual field maps V1, V2, and V3. The new measurements and analyses are consistent with prior theoretical and experimental assessments in the literature.
Copyright © 2021 the authors.

Entities:  

Keywords:  fMRI; population receptive field; visual cortex

Year:  2021        PMID: 33531414      PMCID: PMC7984596          DOI: 10.1523/JNEUROSCI.3052-20.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  30 in total

1.  Population receptive field estimates in human visual cortex.

Authors:  Serge O Dumoulin; Brian A Wandell
Journal:  Neuroimage       Date:  2007-09-29       Impact factor: 6.556

Review 2.  How Visual Cortical Organization Is Altered by Ophthalmologic and Neurologic Disorders.

Authors:  Serge O Dumoulin; Tomas Knapen
Journal:  Annu Rev Vis Sci       Date:  2018-06-11       Impact factor: 6.422

3.  Efficient Receptive Field Tiling in Primate V1.

Authors:  Ian Nauhaus; Kristina J Nielsen; Edward M Callaway
Journal:  Neuron       Date:  2016-08-04       Impact factor: 17.173

4.  Measurement of population receptive fields in human early visual cortex using back-projection tomography.

Authors:  Clint A Greene; Serge O Dumoulin; Ben M Harvey; David Ress
Journal:  J Vis       Date:  2014-01-22       Impact factor: 2.240

Review 5.  Computational neuroimaging and population receptive fields.

Authors:  Brian A Wandell; Jonathan Winawer
Journal:  Trends Cogn Sci       Date:  2015-04-04       Impact factor: 20.229

6.  Spatial elongation of population receptive field profiles revealed by model-free fMRI back-projection.

Authors:  Christian Merkel; Jens-Max Hopf; Mircea Ariel Schoenfeld
Journal:  Hum Brain Mapp       Date:  2018-02-20       Impact factor: 5.038

7.  Orientation decoding depends on maps, not columns.

Authors:  Jeremy Freeman; Gijs Joost Brouwer; David J Heeger; Elisha P Merriam
Journal:  J Neurosci       Date:  2011-03-30       Impact factor: 6.167

8.  Differential Sampling of Visual Space in Ventral and Dorsal Early Visual Cortex.

Authors:  Edward H Silson; Richard C Reynolds; Dwight J Kravitz; Chris I Baker
Journal:  J Neurosci       Date:  2018-01-30       Impact factor: 6.167

9.  Modulating the global orientation bias of the visual system changes population receptive field elongations.

Authors:  Christian Merkel; Jens-Max Hopf; Mircea Ariel Schoenfeld
Journal:  Hum Brain Mapp       Date:  2019-12-24       Impact factor: 5.038

10.  A validation framework for neuroimaging software: The case of population receptive fields.

Authors:  Garikoitz Lerma-Usabiaga; Noah Benson; Jonathan Winawer; Brian A Wandell
Journal:  PLoS Comput Biol       Date:  2020-06-25       Impact factor: 4.475

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  5 in total

1.  Population receptive fields in nonhuman primates from whole-brain fMRI and large-scale neurophysiology in visual cortex.

Authors:  P Christiaan Klink; Xing Chen; Wim Vanduffel; Pieter R Roelfsema
Journal:  Elife       Date:  2021-11-03       Impact factor: 8.140

2.  Divisive normalization unifies disparate response signatures throughout the human visual hierarchy.

Authors:  Marco Aqil; Tomas Knapen; Serge O Dumoulin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-16       Impact factor: 12.779

3.  Population receptive fields of human primary visual cortex organised as DC-balanced bandpass filters.

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Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

4.  Mapping spatial frequency preferences across human primary visual cortex.

Authors:  William F Broderick; Eero P Simoncelli; Jonathan Winawer
Journal:  J Vis       Date:  2022-03-02       Impact factor: 2.240

5.  Topology-preserving smoothing of retinotopic maps.

Authors:  Yanshuai Tu; Duyan Ta; Zhong-Lin Lu; Yalin Wang
Journal:  PLoS Comput Biol       Date:  2021-08-02       Impact factor: 4.779

  5 in total

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