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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Main Authors: Arjen Alink, Alexander Walther, Alexandra Krugliak, Nikolaus Kriegeskorte
Format: Article
Language:English
Published: Nature Publishing Group 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-07036-8
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spelling 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
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