Multivariate representation of food preferences in the human brain

Brain and Cognition
Luca PogodaBernd Weber

Abstract

One major goal in decision neuroscience is to investigate the neuronal mechanisms being responsible for the computation of product preferences. The aim of the present fMRI study was to investigate whether similar patterns of brain activity, reflecting category dependent and category independent preference signals, can be observed in case of different food product categories (i.e. chocolate bars and salty snacks). To that end we used a multivariate searchlight approach in which a linear support vector machine (l-SVM) was trained to distinguish preferred from non-preferred chocolate bars and subsequently tested its predictive power in case of chocolate bars (within category prediction) and salty snacks (across category prediction). Preferences were measured by a binary forced choice decision paradigm before the fMRI task. In the scanner, subjects saw only one product per trial which they had to rate after presentation. Consistent with previous multi voxel pattern analysis (MVPA) studies, we found category dependent preference signals in the ventral parts of medial prefrontal cortex (mPFC), but also in dorsal anterior cingulate cortex (dACC) and dorsolateral prefrontal cortex (dlPFC). Category independent preference signals were o...Continue Reading

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Citations

Nov 5, 2016·Brain and Cognition·Raffaella I Rumiati, Giuseppe di Pellegrino
Dec 3, 2016·The Proceedings of the Nutrition Society·Gareth LengPaul A M Smeets
May 10, 2019·PloS One·Enrico CollantoniAngela Favaro
Mar 15, 2018·International Journal of Obesity : Journal of the International Association for the Study of Obesity·Gene-Jack WangNora D Volkow

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