Evidence map›Paper›PMID 39919834›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Characterizing Human Disparity Tuning Properties Using Population Receptive Field Mapping.

Ivan Alvarez, Alessandro Mancari, I Betina Ip, Andrew J Parker, Holly Bridge

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. The Richness of Vision in the Mammalian Brain: Neural Codes for Visual Perception and Behavior in Three Dimensions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  2. Receptive fields from single-neuron recording and MRI reveal similar information coding for binocular depth.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ivan AlvarezOxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 0LN, United Kingdom.ORCID 0000-0003-2815-2666
Alessandro MancariDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom.
I Betina IpOxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 0LN, United Kingdom.
Andrew J ParkerDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, United Kingdom.ORCID 0000-0001-5800-0407
Holly BridgeOxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 0LN, United Kingdom holly.bridge@ndcn.ox.ac.uk.ORCID 0000-0002-8089-6198

Funding

Department of Health NIHR203316Medical Research Council G0802171Medical Research Council MR/K014382/1Medical Research Council MR/V034723/1Wellcome Trust 203139
6 · The paper itself

Abstract

Our visual percept of small differences in depth is largely informed by binocular stereopsis, the ability to decode depth from the horizontal offset between the retinal images in each eye. While multiple cortical areas are associated with stereoscopic processing, it is unclear how tuning to specific binocular disparities is organized across the human visual cortex. We used 3 T functional magnetic resonance imaging to generate population receptive fields (pRFs) in response to modulation of binocular disparity to characterize the neural tuning to disparity. We also used psychophysics to measure stereoacuity thresholds compared with backgrounds at different depths (pedestal disparity). Ten human participants (seven females) observed correlated or anticorrelated random-dot stereograms with disparity ranging from -0.3 to 0.3°, and responses were modeled as one-dimensional tuning curves along the depth dimension. First, we demonstrate that lateral and dorsal visual areas show the greatest proportion of vertices selective for binocular disparity. Second, with binocularly correlated stimuli, we show a polynomial relationship between preferred disparity and tuning curve width, with sharply tuned disparity responses at near-zero disparities, and broader disparity tuning profiles at near or far disparities. This relationship held across visual areas and was not present for anticorrelated stimuli. Finally, the individual thresholds for psychophysical stereoacuity at the three different pedestal disparities were broadly related to pRF tuning width in area V1, suggesting a possible limit for fine stereopsis at the earliest level of cortical processing. Together, these findings point to heterogeneity of disparity processing across human visual areas, comparable with nonhuman primates.

Indexed as

Brain MappingVision DisparityVisual CortexVisual FieldsAdultDepth PerceptionFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationVision, BinocularYoung Adultbinocular disparitydisparity tuningMRIpopulation receptive fieldpsychophysics

Identifiers

PMID39919834
PMCPMC7617416

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.