Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in extrastriate body area Article Swipe
Giuseppe Marrazzo
,
Federico De Martino
,
Agustín Lage‐Castellanos
,
Maarten J. Vaessen
,
Béatrice de Gelder
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.12.19.521151
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.12.19.521151
Previous research has focused on the role of the extrastriate body area (EBA) in category-specific body representation, but the specific features that are represented in this area are not well understood. This study used ultra-high field fMRI and banded ridge regression to investigate the coding of body images by comparing the performance of three encoding models in predicting brain activity in ventral visual cortex and specifically the EBA. Our results suggest that EBA represents body stimuli based on a combination of low-level visual features and postural features. Author Summary Historically, research on body representation in the brain has focused on category-specific representation, using fMRI to investigate the most posterior body selective region, the extrastriate body area (EBA). However, the role of this area in body perception is still not well understood. This study aims to clarify the role of EBA, in coding information about body images. Using ultra-high field neuroimaging (fMRI) and advanced encoding techniques we tested different computational hypotheses to understand how body images are represented in EBA. Our results suggest that EBA represents bodies using a combination of low-level properties and postural information extracted from the stimulus.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.12.19.521151
- https://www.biorxiv.org/content/biorxiv/early/2022/12/20/2022.12.19.521151.full.pdf
- OA Status
- green
- References
- 67
- Related Works
- 10
- OpenAlex ID
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- DOI
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https://doi.org/10.1101/2022.12.19.521151Digital Object Identifier
- Title
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Voxelwise encoding models of body stimuli reveal a representational gradient from low-level visual features to postural features in extrastriate body areaWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-12-20Full publication date if available
- Authors
-
Giuseppe Marrazzo, Federico De Martino, Agustín Lage‐Castellanos, Maarten J. Vaessen, Béatrice de GelderList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.12.19.521151Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2022/12/20/2022.12.19.521151.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/12/20/2022.12.19.521151.full.pdfDirect OA link when available
- Concepts
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Extrastriate cortex, Neuroimaging, Perception, Stimulus (psychology), Psychology, Body schema, Visual field, Neuroscience, Visual cortex, Cognitive psychology, Pattern recognition (psychology), Artificial intelligence, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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67Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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