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Impaired Cross-Talk between Mesolimbic Food Reward Processing and Metabolic Signaling Predicts Body Mass Index

Overview of attention for article published in Frontiers in Behavioral Neuroscience, October 2014
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Title
Impaired Cross-Talk between Mesolimbic Food Reward Processing and Metabolic Signaling Predicts Body Mass Index
Published in
Frontiers in Behavioral Neuroscience, October 2014
DOI 10.3389/fnbeh.2014.00359
Pubmed ID
Authors

Joe J. Simon, Mandy Skunde, Maria Hamze Sinno, Timo Brockmeyer, Sabine C. Herpertz, Martin Bendszus, Wolfgang Herzog, Hans-Christoph Friederich

Abstract

The anticipation of the pleasure derived from food intake drives the motivation to eat, and hence facilitate overconsumption of food, which ultimately results in obesity. Brain imaging studies provide evidence that mesolimbic brain regions underlie both general as well as food-related anticipatory reward processing. In light of this knowledge, the present study examined the neural responsiveness of the ventral striatum (VS) in participants with a broad BMI spectrum. The study differentiated between general (i.e., monetary) and food-related anticipatory reward processing. We recruited a sample of volunteers with greatly varying body weights, ranging from a low BMI (below 20 kg/m(2)) over a normal (20-25 kg/m(2)) and overweight (25-30 kg/m(2)) BMI, to class I (30-35 kg/m(2)) and class II (35-40 kg/m(2)) obesity. A total of 24 participants underwent functional magnetic resonance imaging while performing both a food and monetary incentive delay task, which allows to measure neural activation during the anticipation of rewards. After the presentation of a cue indicating the amount of food or money to be won, participants had to react correctly in order to earn "snack points" or "money coins," which could then be exchanged for real food or money, respectively, at the end of the experiment. During the anticipation of both types of rewards, participants displayed activity in the VS, a region that plays a pivotal role in the anticipation of rewards. Additionally, we observed that specifically anticipatory food reward processing predicted the individual BMI (current and maximum lifetime). This relation was found to be mediated by impaired hormonal satiety signaling, i.e., increased leptin levels and insulin resistance. These findings suggest that heightened food reward motivation contributes to obesity through impaired metabolic signaling.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Romania 1 1%
Switzerland 1 1%
Unknown 85 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 27%
Researcher 14 16%
Student > Master 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 15 17%
Unknown 15 17%
Readers by discipline Count As %
Psychology 20 22%
Medicine and Dentistry 13 14%
Neuroscience 11 12%
Agricultural and Biological Sciences 8 9%
Nursing and Health Professions 3 3%
Other 11 12%
Unknown 24 27%
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 07 December 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,823
of 3,161 outputs
Outputs of similar age
#215,638
of 258,408 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#77
of 89 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.