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Visual-Gustatory Interaction: Orbitofrontal and Insular Cortices Mediate the Effect of High-Calorie Visual Food Cues on Taste Pleasantness

Overview of attention for article published in PLOS ONE, March 2012
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Title
Visual-Gustatory Interaction: Orbitofrontal and Insular Cortices Mediate the Effect of High-Calorie Visual Food Cues on Taste Pleasantness
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032434
Pubmed ID
Authors

Kathrin Ohla, Ulrike Toepel, Johannes le Coutre, Julie Hudry

Abstract

Vision provides a primary sensory input for food perception. It raises expectations on taste and nutritional value and drives acceptance or rejection. So far, the impact of visual food cues varying in energy content on subsequent taste integration remains unexplored. Using electrical neuroimaging, we assessed whether high- and low-calorie food cues differentially influence the brain processing and perception of a subsequent neutral electric taste. When viewing high-calorie food images, participants reported the subsequent taste to be more pleasant than when low-calorie food images preceded the identical taste. Moreover, the taste-evoked neural activity was stronger in the bilateral insula and the adjacent frontal operculum (FOP) within 100 ms after taste onset when preceded by high- versus low-calorie cues. A similar pattern evolved in the anterior cingulate (ACC) and medial orbitofrontal cortex (OFC) around 180 ms, as well as, in the right insula, around 360 ms. The activation differences in the OFC correlated positively with changes in taste pleasantness, a finding that is an accord with the role of the OFC in the hedonic evaluation of taste. Later activation differences in the right insula likely indicate revaluation of interoceptive taste awareness. Our findings reveal previously unknown mechanisms of cross-modal, visual-gustatory, sensory interactions underlying food evaluation.

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Geographical breakdown

Country Count As %
United States 2 1%
Netherlands 2 1%
Germany 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Israel 1 <1%
Unknown 144 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 22%
Student > Master 27 18%
Researcher 23 15%
Student > Bachelor 18 12%
Professor > Associate Professor 7 5%
Other 22 14%
Unknown 21 14%
Readers by discipline Count As %
Psychology 51 34%
Agricultural and Biological Sciences 20 13%
Neuroscience 18 12%
Medicine and Dentistry 10 7%
Nursing and Health Professions 5 3%
Other 19 13%
Unknown 29 19%