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Home NEWS Science News Biology

Our weight tells how we assess food

Bioengineer by Bioengineer
September 22, 2017
in Biology
Reading Time: 2 mins read
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"It can be considered an instance of 'embodiment' in which our brain interacts with our body". This is the comment made by Raffaella Rumiati, neuroscientist at the International School for Advanced Studies – SISSA in Trieste, on the results of research carried out by her group which reveals that the way we process different foods changes in accordance with our body mass index. With two behavioural and electroencephalographic experiments, the study demonstrated that people of normal weight tend to associate natural foods such as apples with their sensory characteristics such as sweetness or softness. On the other hand, processed foods such as pizzas are generally associated with their function or the context in which they are eaten such as parties or picnics. &laquoThe results are in line with the theory according to which sensory characteristics and the functions of items are processed differently by the brain», comments Giulio Pergola, the work's primary author. &laquoThey represent an important step forward in our understanding of the mechanisms at the basis of the assessments we make of food». But that's not all. Recently published in the Biological Psychology journal, the research also highlighted the ways in which underweight people pay greater attention to natural foods and overweight people to processed foods. Even when subjected to the same stimuli, these two groups show different electroencephalography signals. These results show once again the importance of cognitive neuroscience also in the understanding of extremely topical clinical fields such as dietary disorders.

###

USEFUL LINK:

Full paper: http://www.sciencedirect.com/science/article/pii/S0301051117302302

Media Contact

Chiara Saviane – SISSA
[email protected]
39-040-378-7230

http://www.sissa.it

https://www.sissa.it/news/natural-vs-tranformed

Related Journal Article

http://dx.doi.org/10.1016/j.biopsycho.2017.09.001

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