The representation of material categories in the brain

Using textures mapped onto virtual nonsense objects, it has recently been shown that early visual cortex plays an important role in processing material properties. Here, we examined brain activation to photographs of materials, consisting of wood, stone, metal and fabric surfaces. These photographs...

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Main Authors: Richard Henrikus Augustinus Hubertus Jacobs, Elisabeth eBaumgartner, Karl R. Gegenfurtner
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00146/full
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spelling doaj-1b3edce82061466781fd1c82853bcfb92020-11-24T23:21:54ZengFrontiers Media S.A.Frontiers in Psychology1664-10782014-03-01510.3389/fpsyg.2014.0014651175The representation of material categories in the brainRichard Henrikus Augustinus Hubertus Jacobs0Elisabeth eBaumgartner1Karl R. Gegenfurtner2Justus Liebig UniversitaetJustus Liebig UniversitaetJustus Liebig UniversitaetUsing textures mapped onto virtual nonsense objects, it has recently been shown that early visual cortex plays an important role in processing material properties. Here, we examined brain activation to photographs of materials, consisting of wood, stone, metal and fabric surfaces. These photographs were close-ups in the sense that the materials filled the image. In the first experiment, observers categorized the material in each image (i.e., wood, stone, metal, or fabric), while in an fMRI-scanner. We predicted the assigned material category using the obtained voxel patterns using a linear classifier. Region-of-interest and whole-brain analyses demonstrated material coding in the early visual regions, with lower accuracies for more anterior regions. There was little evidence for material coding in other brain regions. In the second experiment, we used an adaptation paradigm to reveal additional brain areas involved in the perception of material categories. Participants viewed images of wood, stone, metal, and fabric, presented in blocks with images of either different material categories (no adaptation) or images of different samples from the same material category (material adaptation). To measure baseline activation, blocks with the same material sample were presented (baseline adaptation). Material adaptation effects were found mainly in the parahippocampal gyrus, in agreement with fMRI-studies of texture perception. Our findings suggest that the parahippocampal gyrus, early visual cortex, and possibly the supramarginal gyrus are involved in the perception of material categories, but in different ways. The different outcomes from the two studies are likely due to inherent differences between the two paradigms. A third experiment suggested, based on anatomical overlap between activations, that spatial frequency information is important for within-category material discrimination.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00146/fullAdaptation, PhysiologicalCategorizationfMRImaterial perceptionMVPAtexture perception
collection DOAJ
language English
format Article
sources DOAJ
author Richard Henrikus Augustinus Hubertus Jacobs
Elisabeth eBaumgartner
Karl R. Gegenfurtner
spellingShingle Richard Henrikus Augustinus Hubertus Jacobs
Elisabeth eBaumgartner
Karl R. Gegenfurtner
The representation of material categories in the brain
Frontiers in Psychology
Adaptation, Physiological
Categorization
fMRI
material perception
MVPA
texture perception
author_facet Richard Henrikus Augustinus Hubertus Jacobs
Elisabeth eBaumgartner
Karl R. Gegenfurtner
author_sort Richard Henrikus Augustinus Hubertus Jacobs
title The representation of material categories in the brain
title_short The representation of material categories in the brain
title_full The representation of material categories in the brain
title_fullStr The representation of material categories in the brain
title_full_unstemmed The representation of material categories in the brain
title_sort representation of material categories in the brain
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2014-03-01
description Using textures mapped onto virtual nonsense objects, it has recently been shown that early visual cortex plays an important role in processing material properties. Here, we examined brain activation to photographs of materials, consisting of wood, stone, metal and fabric surfaces. These photographs were close-ups in the sense that the materials filled the image. In the first experiment, observers categorized the material in each image (i.e., wood, stone, metal, or fabric), while in an fMRI-scanner. We predicted the assigned material category using the obtained voxel patterns using a linear classifier. Region-of-interest and whole-brain analyses demonstrated material coding in the early visual regions, with lower accuracies for more anterior regions. There was little evidence for material coding in other brain regions. In the second experiment, we used an adaptation paradigm to reveal additional brain areas involved in the perception of material categories. Participants viewed images of wood, stone, metal, and fabric, presented in blocks with images of either different material categories (no adaptation) or images of different samples from the same material category (material adaptation). To measure baseline activation, blocks with the same material sample were presented (baseline adaptation). Material adaptation effects were found mainly in the parahippocampal gyrus, in agreement with fMRI-studies of texture perception. Our findings suggest that the parahippocampal gyrus, early visual cortex, and possibly the supramarginal gyrus are involved in the perception of material categories, but in different ways. The different outcomes from the two studies are likely due to inherent differences between the two paradigms. A third experiment suggested, based on anatomical overlap between activations, that spatial frequency information is important for within-category material discrimination.
topic Adaptation, Physiological
Categorization
fMRI
material perception
MVPA
texture perception
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00146/full
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