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The representation of shape and texture in category‐selective regions of ventral‐temporal cortex
Author(s) -
Coggan David D.,
Watson David M.,
Wang Ao,
Brownbridge Robert,
Ellis Christopher,
Jones Kathryn,
Kilroy Charlotte,
Andrews Timothy J.
Publication year - 2022
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.15737
Subject(s) - texture (cosmology) , fusiform face area , univariate , artificial intelligence , pattern recognition (psychology) , representation (politics) , temporal cortex , neuroimaging , scale (ratio) , shape analysis (program analysis) , multivariate statistics , adaptation (eye) , psychology , computer vision , computer science , image (mathematics) , geography , neuroscience , face perception , cartography , perception , machine learning , static analysis , politics , political science , law , programming language
Neuroimaging studies using univariate and multivariate approaches have shown that the fusiform face area (FFA) and parahippocampal place area (PPA) respond selectively to images of faces and places. The aim of this study was to determine the extent to which this selectivity to faces or places is based on the shape or texture properties of the images. Faces and houses were filtered to manipulate their texture properties, while preserving the shape properties (spatial envelope) of the images. In Experiment 1, multivariate pattern analysis (MVPA) showed that patterns of fMRI response to faces and houses in FFA and PPA were predicted by the shape properties, but not by the texture properties of the image. In Experiment 2, a univariate analysis (fMR‐adaptation) showed that responses in the FFA and PPA were sensitive to changes in both the shape and texture properties of the image. These findings can be explained by the spatial scale of the representation of images in the FFA and PPA. At a coarser scale (revealed by MVPA), the neural selectivity to faces and houses is sensitive to variation in the shape properties of the image. However, at a finer scale (revealed by fMR‐adaptation), the neural selectivity is sensitive to the texture properties of the image. By combining these neuroimaging paradigms, our results provide insights into the spatial scale of the neural representation of faces and places in the ventral‐temporal cortex.