October 2020
Volume 20, Issue 11
Open Access
Vision Sciences Society Annual Meeting Abstract  |   October 2020
Decoding representations of food images within the ventral visual stream
Author Affiliations & Notes
  • Carol Coricelli
    SISSA (Trieste, Italy)
  • Kevin M. Stubbs
    Brain and Mind Institute, University of Western Ontario (London, Canada)
  • Raffaella I. Rumiati
    SISSA (Trieste, Italy)
    ANVUR (Rome, Italy)
  • Jody C. Culham
    Brain and Mind Institute, University of Western Ontario (London, Canada)
    Department of Psychology, University of Western Ontario (London, Canada)
  • Footnotes
    Acknowledgements  Natural Sciences and Engineering Research Council of Canada, Canada First Research Excellence Fund “BrainsCAN” grant
Journal of Vision October 2020, Vol.20, 267. doi:https://doi.org/10.1167/jov.20.11.267
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      Carol Coricelli, Kevin M. Stubbs, Raffaella I. Rumiati, Jody C. Culham; Decoding representations of food images within the ventral visual stream. Journal of Vision 2020;20(11):267. doi: https://doi.org/10.1167/jov.20.11.267.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Food represents one of the most rewarding stimuli present in nature since it is necessary for our survival. Neuroimaging studies have revealed food-selective activation across a broad network of human brain regions, including areas within the ventral visual stream implicated in recognition of visual stimulus categories, including objects and bodies. However, the nature of visual food representations has not been systematically explored. We used representational similarity analysis (RSA) on multivoxel pattern data from functional magnetic resonance imaging (fMRI at 3 Tesla) to investigate whether representations of food stimuli are distinct from those for other visual categories. Moreover, we examined the degree to which representations of food and other stimuli could be accounted for by low-level properties (i.e., similarity in retinal size, luminance, elongation, texture, or silhouette overlap). Healthy normal-weight individuals (n=22) performed a one-back task in the scanner while viewing colored pictures of different object categories (food, body parts, utensils, objects, scrambled images), matched for retinal size and where possible, familiar size in the real world. RSA was applied to regions of interest (ROIs) within the visual system (including early visual cortex, ventral occipito-temporal cortex and lateral occipito-temporal cortex LOTC), and within a food-selective region (orbitofrontal cortex, OFC). RSA revealed distinct activation patterns for food stimuli in each ROI; that is, food images evoked activation patterns similar to other food images but distinct from other object categories. Visual areas also showed distinctions between different categories of non-food stimuli (e.g., bodies vs. tools); whereas food-selective OFC did not, showing only a difference between food and non-food stimuli. Statistical evaluation of competing models suggested that the representation of food images was not simply related to low-level visual properties. Taken together, our results suggest distinct neural representations of food stimuli that warrant further study, ideally with real food rather than images.

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