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Estimating average single-neuron visual receptive field sizes by fMRI

Keliris, GA; Li, Q; Papanikolaou, A; Logothetis, NK; Smirnakis, SM; (2019) Estimating average single-neuron visual receptive field sizes by fMRI. Proceedings of the National Academy of Sciences of The United States of America , 116 (13) pp. 6425-6434. 10.1073/pnas.1809612116. Green open access

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Abstract

The noninvasive estimation of neuronal receptive field (RF) properties in vivo allows a detailed understanding of brain organization as well as its plasticity by longitudinal following of potential changes. Visual RFs measured invasively by electrophysiology in animal models have traditionally provided a great extent of our current knowledge about the visual brain and its disorders. Voxel-based estimates of population RF (pRF) by functional magnetic resonance imaging (fMRI) in humans revolutionized the field and have been used extensively in numerous studies. However, current methods cannot estimate single-neuron RF sizes as they reflect large populations of neurons with individual RF scatter. Here, we introduce an approach to estimate RF size using spatial frequency selectivity to checkerboard patterns. This method allowed us to obtain noninvasive, average single-neuron RF estimates over a large portion of human early visual cortex. These estimates were significantly smaller compared with prior pRF methods. Furthermore, fMRI and electrophysiology experiments in nonhuman primates demonstrated an exceptionally good match, validating the approach.

Type: Article
Title: Estimating average single-neuron visual receptive field sizes by fMRI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1073/pnas.1809612116
Publisher version: https://doi.org/10.1073/pnas.1809612116
Language: English
Additional information: This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). For further information please see: https://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, visual cortex, population receptive fields, fMRI, electrophysiology, computational modeling, SPATIAL STRUCTURE, STRIATE CORTEX, NATURAL IMAGES, FUNCTIONAL MRI, CORTICAL MAPS, REORGANIZATION, MONKEY, ORIENTATION, TOPOGRAPHY, SCATTER
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: http://discovery.ucl.ac.uk/id/eprint/10074305
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