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Altered dynamics between neural systems sub-serving decisions for unhealthy food

Overview of attention for article published in Frontiers in Neuroscience, November 2014
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Title
Altered dynamics between neural systems sub-serving decisions for unhealthy food
Published in
Frontiers in Neuroscience, November 2014
DOI 10.3389/fnins.2014.00350
Pubmed ID
Authors

Qinghua He, Lin Xiao, Gui Xue, Savio Wong, Susan L. Ames, Bin Xie, Antoine Bechara

Abstract

Using BOLD functional magnetic resonance imaging (fMRI) techniques, we examined the relationships between activities in the neural systems elicited by the decision stage of the Iowa Gambling Task (IGT), and food choices of either vegetables or snacks high in fat and sugar. Twenty-three healthy normal weight adolescents and young adults, ranging in age from 14 to 21, were studied. Neural systems implicated in decision-making and inhibitory control were engaged by having participants perform the IGT during fMRI scanning. The Youth/Adolescent Questionnaire, a food frequency questionnaire, was used to obtain daily food choices. Higher consumption of vegetables correlated with higher activity in prefrontal cortical regions, namely the left superior frontal gyrus (SFG), and lower activity in sub-cortical regions, namely the right insular cortex. In contrast, higher consumption of fatty and sugary snacks correlated with lower activity in the prefrontal regions, combined with higher activity in the sub-cortical, insular cortex. These results provide preliminary support for our hypotheses that unhealthy food choices in real life are reflected by neuronal changes in key neural systems involved in habits, decision-making and self-control processes. These findings have implications for the creation of decision-making based intervention strategies that promote healthier eating.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Italy 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 15 17%
Student > Bachelor 11 12%
Student > Master 9 10%
Student > Doctoral Student 4 4%
Other 8 9%
Unknown 24 27%
Readers by discipline Count As %
Psychology 28 31%
Medicine and Dentistry 8 9%
Neuroscience 7 8%
Nursing and Health Professions 6 7%
Agricultural and Biological Sciences 4 4%
Other 7 8%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 November 2014.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#8,669
of 11,542 outputs
Outputs of similar age
#189,981
of 275,904 outputs
Outputs of similar age from Frontiers in Neuroscience
#97
of 114 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.