Literature DB >> 34730515

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

P Christiaan Klink1,2, Xing Chen1, Wim Vanduffel3,4,5,6, Pieter R Roelfsema1,2,7.   

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.
© 2021, Klink et al.

Entities:  

Keywords:  neuroimaging; neurophysiology; neuroscience; nonhuman primate; population receptive field; rhesus macaque; vision

Mesh:

Substances:

Year:  2021        PMID: 34730515      PMCID: PMC8641953          DOI: 10.7554/eLife.67304

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  159 in total

1.  Modeling center-surround configurations in population receptive fields using fMRI.

Authors:  Wietske Zuiderbaan; Ben M Harvey; Serge O Dumoulin
Journal:  J Vis       Date:  2012-03-08       Impact factor: 2.240

2.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey.

Authors:  J J Knierim; D C van Essen
Journal:  J Neurophysiol       Date:  1992-04       Impact factor: 2.714

3.  Compressive spatial summation in human visual cortex.

Authors:  Kendrick N Kay; Jonathan Winawer; Aviv Mezer; Brian A Wandell
Journal:  J Neurophysiol       Date:  2013-04-24       Impact factor: 2.714

4.  Attention Priority Map of Face Images in Human Early Visual Cortex.

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Journal:  J Neurosci       Date:  2017-11-13       Impact factor: 6.167

5.  Topographic representations of object size and relationships with numerosity reveal generalized quantity processing in human parietal cortex.

Authors:  Ben M Harvey; Alessio Fracasso; Natalia Petridou; Serge O Dumoulin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

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

Review 7.  Vascular and neural basis of the BOLD signal.

Authors:  Patrick J Drew
Journal:  Curr Opin Neurobiol       Date:  2019-07-21       Impact factor: 6.627

8.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.

Authors:  Timo van Kerkoerle; Matthew W Self; Bruno Dagnino; Marie-Alice Gariel-Mathis; Jasper Poort; Chris van der Togt; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-09       Impact factor: 11.205

9.  Response to short-term deprivation of the human adult visual cortex measured with 7T BOLD.

Authors:  Paola Binda; Jan W Kurzawski; Claudia Lunghi; Laura Biagi; Michela Tosetti; Maria Concetta Morrone
Journal:  Elife       Date:  2018-11-26       Impact factor: 8.140

10.  Population receptive field (pRF) measurements of chromatic responses in human visual cortex using fMRI.

Authors:  Lauren E Welbourne; Antony B Morland; Alex R Wade
Journal:  Neuroimage       Date:  2017-11-14       Impact factor: 6.556

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  3 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.  Mapping the visual world to the human brain.

Authors:  Betina Ip; Holly Bridge
Journal:  Elife       Date:  2021-12-03       Impact factor: 8.140

3.  1024-channel electrophysiological recordings in macaque V1 and V4 during resting state.

Authors:  Xing Chen; Aitor Morales-Gregorio; Julia Sprenger; Alexander Kleinjohann; Shashwat Sridhar; Sacha J van Albada; Sonja Grün; Pieter R Roelfsema
Journal:  Sci Data       Date:  2022-03-11       Impact factor: 6.444

  3 in total

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