scispace - formally typeset
Open AccessJournal ArticleDOI

Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues

Reads0
Chats0
TLDR
It is shown that children genetically at risk for obesity exhibit stronger reward-related responses to real-world food cues in the nucleus accumbens, a brain area canonically associated with reward processing, which may contribute to unhealthy eating behaviors later in life.
Abstract
Obesity is a major public health concern that involves an interaction between genetic susceptibility and exposure to environmental cues (e.g., food marketing); however, the mechanisms that link these factors and contribute to unhealthy eating are unclear. Using a well-known obesity risk polymorphism (FTO rs9939609) in a sample of 78 children (ages 9-12 y), we observed that children at risk for obesity exhibited stronger responses to food commercials in the nucleus accumbens (NAcc) than children not at risk. Similarly, children at a higher genetic risk for obesity demonstrated larger NAcc volumes. Although a recessive model of this polymorphism best predicted body mass and adiposity, a dominant model was most predictive of NAcc size and responsivity to food cues. These findings suggest that children genetically at risk for obesity are predisposed to represent reward signals more strongly, which, in turn, may contribute to unhealthy eating behaviors later in life.

read more

Citations
More filters
Journal ArticleDOI

The dopamine motive system: implications for drug and food addiction.

TL;DR: Dopamine contributes to addiction and obesity through its differentiated roles in reinforcement, motivation and self-regulation, referred to here as the 'dopamine motive system', which, if compromised, can result in increased, habitual and inflexible responding.
Journal ArticleDOI

Supra-Additive Effects of Combining Fat and Carbohydrate on Food Reward

TL;DR: It is demonstrated for the first time that foods high in fat and carbohydrate are valued more than foods containing only fat or carbohydrate and that this effect is associated with greater recruitment of central reward circuits.
Journal ArticleDOI

Neurobehavioral correlates of obesity are largely heritable.

TL;DR: It is found that obesity as measured by BMI has considerable genetic overlap with brain and cognitive measures, which supports the theory that obesity is inherited via brain function and may inform intervention strategies.
Journal ArticleDOI

Learning one’s genetic risk changes physiology independent of actual genetic risk

TL;DR: Randomly informing people that they had a high or low genetic risk of obesity changed their gene-related physiology and subjective experience in a manner consistent with the perceived risk, regardless of their actual genetic risk.
Journal ArticleDOI

μ-opioid receptor system mediates reward processing in humans.

TL;DR: Using PET and fMRI, individual differences in brain μ-opioid receptor density predict the strength of the neural response to highly palatable foods in humans.
References
More filters
Journal ArticleDOI

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

TL;DR: In this paper, a technique for automatically assigning a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from a manually labeled training set is presented.
Journal ArticleDOI

Power failure: why small sample size undermines the reliability of neuroscience

TL;DR: It is shown that the average statistical power of studies in the neurosciences is very low, and the consequences include overestimates of effect size and low reproducibility of results.
Journal ArticleDOI

A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

TL;DR: A genome-wide search for type 2 diabetes–susceptibility genes identified a common variant in the FTO (fat mass and obesity associated) gene that predisposes to diabetes through an effect on body mass index (BMI).
Journal ArticleDOI

Multiple Comparisons among Means

TL;DR: In this paper, the authors considered the possibility of picking in advance a number (say m) of linear contrasts among k means, and then estimating these m linear contrasts by confidence intervals based on a Student t statistic, in such a way that the overall confidence level for the m intervals is greater than or equal to a preassigned value.
Journal ArticleDOI

PsychoPy--Psychophysics software in Python.

TL;DR: A new free suite of software tools designed to make this task easier, using the latest advances in hardware and software, written in the Python interpreted language using entirely free libraries are described.
Related Papers (5)