Population receptive fields in nonhuman primates from whole-brain fMRI and large-scale neurophysiology in visual cortex
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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.
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Collaborative international projects such as the PRIMatE Resource Exchange offer advanced tools that allow fitting probabilistic retinotopic maps generated from large samples to any individual NHP brain.
“Collaborative international projects such as the PRIMatE Resource Exchange (PRIME-RE) offer advanced tools which allow to fit probabilistic retinotopic maps generated from large samples to any individual NHP brain (Klink et al., 2021; Messinger et al., 2021)”
From Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses (2024) · cites this paper as Klink et al., 2021
The Materials and methods section describes publicly available NHP imaging tools, and the Results say a probabilistic atlas was co-registered to an individual animal’s anatomy. Neither passage says the tools fit retinotopic maps derived from large samples to any individual NHP brain; the paper reports maps from two monkeys. No page numbers are provided in our copy. (LLM, conf=0.85)
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“…(PRIME-RE) offer advanced tools which allow to fit probabilistic retino-topic maps generated from large samples to any individual NHP brain ( Klink et al., 2021 ; Messinger et al., 2021 ) and it is currently possible to accurately predict human cortical receptive field mapping based on…”
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- Authors
- Klink, P. C., Chen, X., Vanduffel, W., & Roelfsema, P. R.
- Affiliations
- Netherlands Institute for Neuroscience (NL)
- Harvard University (US)
- Corresponding author
- Klink, P Christiaan
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2021-11-03
- Volume
- 10
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC8641953
- OpenAlex
- W3208755230
- Cited by
- 63
- References
- 163
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 13 · 2023: 9 · 2022: 5 · 2021: 5
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VENI 451.13.023, STW-Perspectief P15-42 "NESTOR", Crossover Program 17619 "INTENSE")
- FP7 Ideas: European Research Council (ERC 339490 "Cortic_al_gorithms")
- Human Brain Project (Agreements 720270 and 785907 "Human Brain Project SGA1 and SGA2")
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- population receptive field, non-human primates, visual cortex, area V1, area V4, retinotopic organization, BOLD signal, multi-unit activity, local field potentials, gamma power, whole-brain fMRI
- MeSH terms
- Animals, Brain, Brain Mapping, Electroencephalography, Macaca mulatta, Magnetic Resonance Imaging, Male, Neurons, Oxygen, Regional Blood Flow, Visual Cortex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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