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The brain, obesity and addiction: an EEG neuroimaging study

Overview of attention for article published in Scientific Reports, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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12 news outlets
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5 X users
reddit
3 Redditors
podcasts
1 podcast

Readers on

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174 Mendeley
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Article details
Title
The brain, obesity and addiction: an EEG neuroimaging study
Published in
Scientific Reports, September 2016
DOI 10.1038/srep34122
Pubmed ID
Authors
Abstract

Obesity is among the greatest challenges facing healthcare systems with 20% of the world's population afflicted. Great controversy exists whether obesity can be regarded as an addictive disorder or not. Recently the Yale Food Addiction Scale questionnaire has been developed as a tool to identify individuals with traits of addiction towards food. Using clinical and source localized EEG data we dichotomize obesity. Brain activity in food-addicted and non-food-addicted obese people is compared to alcohol-addicted and non-addicted lean controls. We show that food addiction shares common neural brain activity with alcohol addiction. This 'addiction neural brain activity' consists of the dorsal and pregenual anterior cingulate cortex, parahippocampal area and precuneus. Furthermore, common neural obesity neural brain activity exists as well. The 'obesity neural brain activity' consists of dorsal and pregenual anterior cingulate cortex, posterior cingulate extending into the precuneus/cuneus as well as the parahippocampal and inferior parietal area. However food-addicted differ from non-food-addicted obese people by opposite activity in the anterior cingulate gyrus. This food addiction and non-food-addiction obesity dichotomy demonstrates there is at least 2 different kinds of obesity with overlapping network activity, but different in anterior cingulate cortex activity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Singapore 1 <1%
Unknown 173 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 29 17%
Researcher 23 13%
Student > Bachelor 22 13%
Student > Ph. D. Student 20 11%
Student > Doctoral Student 11 6%
Other 29 17%
Unknown 40 23%
Readers by discipline
Readers by discipline Count As %
Psychology 31 18%
Neuroscience 21 12%
Medicine and Dentistry 18 10%
Engineering 9 5%
Biochemistry, Genetics and Molecular Biology 8 5%
Other 31 18%
Unknown 56 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 12 January 2026.
All research outputs
#515,954
of 32,945,511 outputs
Outputs from Scientific Reports
#5,604
of 178,527 outputs
Outputs of similar age
#7,400
of 325,469 outputs
Outputs of similar age from Scientific Reports
#138
of 3,803 outputs
Altmetric has tracked 32,945,511 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 178,527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 3,803 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.