Neural dissociation between computational and perceived measures of curvature

There is substantial evidence to suggest that preference for visual curvature is a reliable phenomenon. Yet, little is known about the ways in which the encoding of curvature in the brain contributes to hedonic evaluation while participants are actively engaged in making choices about objects varying in curvature. To address this question, we reanalyzed fMRI data collected while participants made aesthetic judgments (beautiful vs. not beautiful) and approach-avoidance decisions (enter vs. exit) in relation to measures of (a) computational curvature, (b) perceived curvature, (c) perceived angularity, and (d) aesthetic pleasure in the domain of architecture. Our results show that a region in early visual cortex (BA 17) encompassing largely areas V2-V3 is sensitive to variation in computational curvature across both beauty judgments and approach-avoidance decisions, whereas a region encompassing the fusiform gyrus (BA 37) exhibits sensitivity to perceived curvature only when participants made beauty judgments. These results contribute to our understanding of the neurobiological basis of curvature preference by demonstrating that the sensitivity of the visual cortex to computational curvature is context invariant, whereas the sensitivity of the fusiform gyrus to perceived curvature varies by context.

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Publication Details

Journal
Scientific Reports
Published
2024-11-03
DOI
https://doi.org/10.1038/s41598-024-76931-8
Citations
6
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
2.06

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article

Neural dissociation between computational and perceived measures of curvature

Martin Skov, Gregor U. Hayn‐Leichsenring, Delaram Farzanfar, Dirk B. Walther et al.
6 citations
Scientific Reports
Aesthetic Perception and Analysis
2.06
article

Neural dissociation between computational and perceived measures of curvature

Martin Skov, Gregor U. Hayn‐Leichsenring, Delaram Farzanfar, Dirk B. Walther, Enric Munar, Pik Ki Ho, Oshin Vartanian
article en
6 citations

Abstract

There is substantial evidence to suggest that preference for visual curvature is a reliable phenomenon. Yet, little is known about the ways in which the encoding of curvature in the brain contributes to hedonic evaluation while participants are actively engaged in making choices about objects varying in curvature. To address this question, we reanalyzed fMRI data collected while participants made aesthetic judgments (beautiful vs. not beautiful) and approach-avoidance decisions (enter vs. exit) in relation to measures of (a) computational curvature, (b) perceived curvature, (c) perceived angularity, and (d) aesthetic pleasure in the domain of architecture. Our results show that a region in early visual cortex (BA 17) encompassing largely areas V2-V3 is sensitive to variation in computational curvature across both beauty judgments and approach-avoidance decisions, whereas a region encompassing the fusiform gyrus (BA 37) exhibits sensitivity to perceived curvature only when participants made beauty judgments. These results contribute to our understanding of the neurobiological basis of curvature preference by demonstrating that the sensitivity of the visual cortex to computational curvature is context invariant, whereas the sensitivity of the fusiform gyrus to perceived curvature varies by context.

Scientific ReportsVol. 14(1)
Copenhagen Business School (DK), University of Toronto (CA), Copenhagen University Hospital (DK), Jena University Hospital (DE), Heriot-Watt University Dubai (AE), Universitat de les Illes Balears (ES)
Social Sciences and Humanities Research Council of Canada, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 13%
Aesthetic Perception and Analysis
2.06
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