Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information
Abstract The orientation of a visual grating can be decoded from human primary visual cortex (V1) using functional magnetic resonance imaging (fMRI) at conventional resolutions (2–3 mm voxel width, 3T scanner). It is unclear to what extent this information originates from different spatial scales of...
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2017-08-01
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Online Access: | https://doi.org/10.1038/s41598-017-07036-8 |
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doaj-d6b7c509d52343e1b5b4e0610772ad392020-12-08T02:16:27ZengNature Publishing GroupScientific Reports2045-23222017-08-01711910.1038/s41598-017-07036-8Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern informationArjen Alink0Alexander Walther1Alexandra Krugliak2Nikolaus Kriegeskorte3MRC Cognition and Brain Sciences UnitMRC Cognition and Brain Sciences UnitUniversity of BirminghamMRC Cognition and Brain Sciences UnitAbstract The orientation of a visual grating can be decoded from human primary visual cortex (V1) using functional magnetic resonance imaging (fMRI) at conventional resolutions (2–3 mm voxel width, 3T scanner). It is unclear to what extent this information originates from different spatial scales of neuronal selectivity, ranging from orientation columns to global areal maps. According to the global-areal-map account, fMRI orientation decoding relies exclusively on fMRI voxels in V1 exhibiting a radial or vertical preference. Here we show, by contrast, that 2-mm isotropic voxels in a small patch of V1 within a quarterfield representation exhibit reliable opposite selectivities. Sets of voxels with opposite selectivities are locally intermingled and each set can support orientation decoding. This indicates that global areal maps cannot fully account for orientation information in fMRI and demonstrates that fMRI also reflects fine-grained patterns of neuronal selectivity.https://doi.org/10.1038/s41598-017-07036-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arjen Alink Alexander Walther Alexandra Krugliak Nikolaus Kriegeskorte |
spellingShingle |
Arjen Alink Alexander Walther Alexandra Krugliak Nikolaus Kriegeskorte Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information Scientific Reports |
author_facet |
Arjen Alink Alexander Walther Alexandra Krugliak Nikolaus Kriegeskorte |
author_sort |
Arjen Alink |
title |
Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information |
title_short |
Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information |
title_full |
Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information |
title_fullStr |
Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information |
title_full_unstemmed |
Local opposite orientation preferences in V1: fMRI sensitivity to fine-grained pattern information |
title_sort |
local opposite orientation preferences in v1: fmri sensitivity to fine-grained pattern information |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2017-08-01 |
description |
Abstract The orientation of a visual grating can be decoded from human primary visual cortex (V1) using functional magnetic resonance imaging (fMRI) at conventional resolutions (2–3 mm voxel width, 3T scanner). It is unclear to what extent this information originates from different spatial scales of neuronal selectivity, ranging from orientation columns to global areal maps. According to the global-areal-map account, fMRI orientation decoding relies exclusively on fMRI voxels in V1 exhibiting a radial or vertical preference. Here we show, by contrast, that 2-mm isotropic voxels in a small patch of V1 within a quarterfield representation exhibit reliable opposite selectivities. Sets of voxels with opposite selectivities are locally intermingled and each set can support orientation decoding. This indicates that global areal maps cannot fully account for orientation information in fMRI and demonstrates that fMRI also reflects fine-grained patterns of neuronal selectivity. |
url |
https://doi.org/10.1038/s41598-017-07036-8 |
work_keys_str_mv |
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