Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Feb;36(2):394-402.
doi: 10.2337/dc12-1112. Epub 2012 Oct 15.

Neural correlates of stress- and food cue-induced food craving in obesity: association with insulin levels

Affiliations

Neural correlates of stress- and food cue-induced food craving in obesity: association with insulin levels

Ania M Jastreboff et al. Diabetes Care. 2013 Feb.

Abstract

Objective: Obesity is associated with alterations in corticolimbic-striatal brain regions involved in food motivation and reward. Stress and the presence of food cues may each motivate eating and engage corticolimibic-striatal neurocircuitry. It is unknown how these factors interact to influence brain responses and whether these interactions are influenced by obesity, insulin levels, and insulin sensitivity. We hypothesized that obese individuals would show greater responses in corticolimbic-striatal neurocircuitry after exposure to stress and food cues and that brain activations would correlate with subjective food craving, insulin levels, and HOMA-IR.

Research design and methods: Fasting insulin levels were assessed in obese and lean subjects who were exposed to individualized stress and favorite-food cues during functional MRI.

Results: Obese, but not lean, individuals exhibited increased activation in striatal, insular, and hypothalamic regions during exposure to favorite-food and stress cues. In obese but not lean individuals, food craving, insulin, and HOMA-IR levels correlated positively with neural activity in corticolimbic-striatal brain regions during favorite-food and stress cues. The relationship between insulin resistance and food craving in obese individuals was mediated by activity in motivation-reward regions including the striatum, insula, and thalamus.

Conclusions: These findings demonstrate that obese, but not lean, individuals exhibit increased corticolimbic-striatal activation in response to favorite-food and stress cues and that these brain responses mediate the relationship between HOMA-IR and food craving. Improving insulin sensitivity and in turn reducing corticolimbic-striatal reactivity to food cues and stress may diminish food craving and affect eating behavior in obesity.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Within-group neural response differences in cue condition contrasts. Axial brain slices in the obese and lean groups of neural activation differences observed in contrasts comparing favorite-food cue vs. neutral-relaxing conditions (A) and stress versus neutral-relaxing conditions (B) (threshold of P < 0.01, FWE corrected). Obese individuals show increased activation in the insula, putamen, inferior frontal gyrus (IFG), and middle temporal gyrus (MTG) in both contrasts; lean individuals do not show such activations. The color scale provides t values of the functional activity. Talairach z levels are indicated. hypothal, hypothalamus; L, left; parahipp, parahippocampus; R, right.
Figure 2
Figure 2
Whole-brain, voxel-based correlation analyses with HOMA-IR. Axial brain slices and corresponding scatterplots show correlations between neural activation (β weights) in the obese group during the favorite-food cue condition with HOMA-IR (A) and the stress condition with HOMA-IR (B). The lean group did not exhibit correlations between neural activations with these regions. Maps are thresholded at P < 0.05 (FWE corrected). The color scale provides P values. Talairach z levels are indicated. β Weight values are depicted on the y-axis. IFG, inferior frontal gyrus; L, left; R, right. (A high-quality color representation of this figure is available in the online issue.)
Figure 3
Figure 3
Whole-brain, voxel-based correlation analyses with food craving. Axial brain slices showing correlations between food-craving ratings and neural activation in the stress condition in the obese (A) and lean (B) groups (thresholded at P < 0.05, FWE corrected). Representative scatterplots are presented from key relevant brain regions within each group. The color scale provides P values. Talairach coordinate z levels are indicated. β Weight values are depicted on the y-axis. (A high-quality color representation of this figure is available in the online issue.)
Figure 4
Figure 4
Mediation model: Overlapping brain regions mediate the effect observed between HOMA-IR and food craving in obese individuals. A: Correlation between HOMA-IR levels and food craving ratings in the obese and lean groups. B: Overlapping regions of neural activation. C: Diagram representation of the mediation model of HOMA-IR, regional brain activation, and food craving in obese individuals. Overlap brain maps for each condition were generated from individual maps during the three conditions that were thresholded at P < 0.05, FWE corrected, and that examined within each condition the correlations between 1) brain activation and HOMA-IR values and 2) brain activation and subjective food craving values. A cluster size of 108 was subsequently applied the overlap maps. Talairach z levels are indicated. Subjective food craving correlation brain maps overlapped with HOMA-IR correlation brain maps in the obese group in the three conditions (favorite-food cue, stress cue, and neutral-relaxing cue).
Figure 4
Figure 4
Mediation model: Overlapping brain regions mediate the effect observed between HOMA-IR and food craving in obese individuals. A: Correlation between HOMA-IR levels and food craving ratings in the obese and lean groups. B: Overlapping regions of neural activation. C: Diagram representation of the mediation model of HOMA-IR, regional brain activation, and food craving in obese individuals. Overlap brain maps for each condition were generated from individual maps during the three conditions that were thresholded at P < 0.05, FWE corrected, and that examined within each condition the correlations between 1) brain activation and HOMA-IR values and 2) brain activation and subjective food craving values. A cluster size of 108 was subsequently applied the overlap maps. Talairach z levels are indicated. Subjective food craving correlation brain maps overlapped with HOMA-IR correlation brain maps in the obese group in the three conditions (favorite-food cue, stress cue, and neutral-relaxing cue).

Similar articles

Cited by

References

    1. World Health Organization Obesity and Overweight Fact Sheet [article online], 2011. Accessed 15 July 2012
    1. Ogden CL, Carroll MD, McDowell MA, Flegal KM. Obesity Among Adults in the United States–No Statistically Significant Chance Since 2003–2004. NCHS Data Brief, 2007, p. 1–8 - PubMed
    1. Berthoud HR. Homeostatic and non-homeostatic pathways involved in the control of food intake and energy balance. Obesity (Silver Spring) 2006;14(Suppl. 5):197S–200S - PubMed
    1. Tataranni PA, DelParigi A. Functional neuroimaging: a new generation of human brain studies in obesity research. Obes Rev 2003;4:229–238 - PubMed
    1. Adam TC, Epel ES. Stress, eating and the reward system. Physiol Behav 2007;91:449–458 - PubMed

Publication types