TY - JOUR
T1 - Population receptive fields in non-human primates from whole-brain fmri and large-scale neurophysiology in visual cortex
AU - Christiaan Klink, P.
AU - Chen, Xing
AU - Vanduffel, Wim
AU - Roelfsema, Pieter R.
N1 - Funding Information: 785907, “Human Brain Project SGA1 and SGA2”), and the Friends Foundation of the Netherlands Institute Funding Information: This work was supported by NWO (Crossover Program 17619 ?INTENSE?; STW-Perspectief P15-42 ?NESTOR?; VENI 451.13.023), the European Union FP7 (ERC 339490 ?Cortic_al_gorithms?), the Human Brain Project (agreements 720270 and 785907, ?Human Brain Project SGA1 and SGA2?), and the Friends Foundation of the Netherlands Institute for Neuroscience. Funding Information: We thank Jonathan Williford for his contributions to the fMRI preprocessing pipeline; Pieter Buur, Wietske van der Zwaag, Diederick Stoffers, and the Laboratory of Neuro-and Psychophysiology of KU Leuven for technical assistance in setting up the non-human primate MR infrastructure; Kor Brandsma, Anneke Ditewig, and Lex Beekman for animal care and biotechnical assistance; Feng Wang for help with electrophysiology data collection; Chris van der Togt for help with data management; and Tomas Knapen and Serge Dumoulin for fruitful discussion and comments on an earlier version of the manuscript. This work was supported by NWO (Crossover Program 17619 “INTENSE”; STW-Perspectief P15-42 “NESTOR”; VENI 451.13.023), the European Union FP7 (ERC 339490 “Cortic_al_gorithms”), the Human Brain Project (agreements 720270 and Publisher Copyright: © 2021, eLife Sciences Publications Ltd. All rights reserved.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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 non-human 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 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.
AB - 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 non-human 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 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.
UR - http://www.scopus.com/inward/record.url?scp=85120170255&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120170255&partnerID=8YFLogxK
U2 - https://doi.org/10.7554/eLife.67304
DO - https://doi.org/10.7554/eLife.67304
M3 - Article
C2 - 34730515
SN - 2050-084X
VL - 10
SP - 1
EP - 35
JO - eLife
JF - eLife
M1 - e67304
ER -