Evidence map›Paper›PMID 34730515›Full record

ArticleeLife2021

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

P Christiaan Klink, Xing Chen, Wim Vanduffel, Pieter R Roelfsema

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

41 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
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  7. Spatial Frequency Tuning Follows Scale Invariance in the Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Task-Dependent Visual Topographic Connectivity in the Human Cerebellum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Article
  10. Sensory reformatting for a working visual memory.Trends in cognitive sciences · 2025
    Review
  11. Article
  12. 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
  13. 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
  14. Article
  15. Article
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  20. Characterizing Human Disparity Tuning Properties Using Population Receptive Field Mapping.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

P Christiaan KlinkNetherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands.ORCID 0000-0002-6784-7842
Xing ChenNetherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands.ORCID 0000-0002-3589-1750
Wim VanduffelLaboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven, Belgium.
Pieter R RoelfsemaNetherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands.ORCID 0000-0002-1625-0034
Netherlands Institute for Neuroscience · NLAllen Institute for Brain Science · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population receptive field (pRF) modeling is a popular fMRI method to map the retinotopic organization of the human brain. While fMRI-based pRF maps are qualitatively similar to invasively recorded single-cell receptive fields in animals, it remains unclear what neuronal signal they represent. We addressed this question in awake nonhuman primates comparing whole-brain fMRI and large-scale neurophysiological recordings in areas V1 and V4 of the visual cortex. We examined the fits of several pRF models based on the fMRI blood-oxygen-level-dependent (BOLD) signal, multi-unit spiking activity (MUA), and local field potential (LFP) power in different frequency bands. We found that pRFs derived from BOLD-fMRI were most similar to MUA-pRFs in V1 and V4, while pRFs based on LFP gamma power also gave a good approximation. fMRI-based pRFs thus reliably reflect neuronal receptive field properties in the primate brain. In addition to our results in V1 and V4, the whole-brain fMRI measurements revealed retinotopic tuning in many other cortical and subcortical areas with a consistent increase in pRF size with increasing eccentricity, as well as a retinotopically specific deactivation of default mode network nodes similar to previous observations in humans.

Indexed as

AnimalsBrainBrain MappingElectroencephalographyMacaca mulattaMagnetic Resonance ImagingMaleNeuronsOxygenRegional Blood FlowVisual CortexOxygenneuroimagingneurophysiologyneurosciencenonhuman primatepopulation receptive fieldrhesus macaquevision

Identifiers

PMID34730515
PMCPMC8641953
OpenAlexW3208755230

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.