Activation in brain energy regulation and reward centers by food cues varies with choice of visual stimulus

E A Schur, N M Kleinhans, J Goldberg, D Buchwald, M W Schwartz, K Maravilla, E A Schur, N M Kleinhans, J Goldberg, D Buchwald, M W Schwartz, K Maravilla

Abstract

Objective: To develop a non-invasive method of studying brain mechanisms involved in energy homeostasis and appetite regulation in humans by using visual food cues that are relevant to individuals attempting weight loss.

Design: Functional magnetic resonance imaging (fMRI) was used to compare brain activation in regions of interest between groups of food photographs.

Participants: Ten healthy, non-obese women who were not dieting for weight loss.

Measurements: Independent raters viewed food photographs and evaluated whether the foods depicted should be eaten by individuals attempting a calorically-restricted diet. Based on their responses, we categorized photographs into 'non-fattening' and 'fattening' food groups, the latter characterized by high-caloric content and usually also high-fat or high-sugar content. Blood oxygen level-dependent (BOLD) response was measured by fMRI while participants viewed photographs of 'fattening' food, 'non-fattening' food, and non-food objects.

Results: Viewing photographs of fattening food compared with non-food objects resulted in significantly greater activation in the brainstem; hypothalamus; left amygdala; left dorsolateral prefrontal cortex; left orbitofrontal cortex; right insular cortex; bilateral striatum, including the nucleus accumbens, caudate nucleus, and putamen; bilateral thalamus; and occipital lobe. By comparison, only the occipital region had greater activation by non-fattening food than by object photographs. Combining responses to all food types resulted in attenuation of activation in the brainstem, hypothalamus, and striatum.

Conclusion: These findings suggest that, in non-obese women, neural circuits engaged in energy homeostasis and reward processing are selectively attuned to representations of high-calorie foods that are perceived as fattening. Studies to investigate hormonal action or manipulation of energy balance may benefit from fMRI protocols that contrast energy-rich food stimuli with non-food or low-calorie food stimuli.

Figures

Figure 1. Patterns of brain activation differ…
Figure 1. Patterns of brain activation differ in regions of interest based on the type of food depicted
Top row: Sagittal section through the hypothalamus (Talairach coordinate 6, 2, -12) for the contrasts of fattening food vs. objects, non-fattening food vs. objects, and all food vs. objects. Significant clusters (P

Figure 2. A comparison of brain activation…

Figure 2. A comparison of brain activation in regions of interest based on choice of…

Figure 2. A comparison of brain activation in regions of interest based on choice of control condition
Coronal sections through the amygdala (Talairach coordinates -24, -8, -24) for the contrasts of fattening food vs. objects and fattening food vs. non-fattening food. Significant clusters (P
Similar articles
Cited by
References
    1. Morton GJ, Cummings DE, Baskin DG, Barsh GS, Schwartz MW. Central nervous system control of food intake and body weight. Nature. 2006;443(7109):289–295. - PubMed
    1. Kelley AE, Baldo BA, Pratt WE, Will MJ. Corticostriatal-hypothalamic circuitry and food motivation: integration of energy, action and reward. Physiol Behav. 2005;86(5):773–795. - PubMed
    1. Stice E, Spoor S, Bohon C, Small DM. Relation between obesity and blunted striatal response to food is moderated by TaqIA A1 allele. Science. 2008;322(5900):449–452. - PMC - PubMed
    1. Wang GJ, Volkow ND, Telang F, et al. Exposure to appetitive food stimuli markedly activates the human brain. Neuroimage. 2004;21(4):1790–1797. - PubMed
    1. Cheng Y, Meltzoff AN, Decety J. Motivation modulates the activity of the human mirror-neuron system. Cereb Cortex. 2007;17(8):1979–1986. - PubMed
Show all 30 references
Publication types
MeSH terms
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Figure 2. A comparison of brain activation…
Figure 2. A comparison of brain activation in regions of interest based on choice of control condition
Coronal sections through the amygdala (Talairach coordinates -24, -8, -24) for the contrasts of fattening food vs. objects and fattening food vs. non-fattening food. Significant clusters (P

References

    1. Morton GJ, Cummings DE, Baskin DG, Barsh GS, Schwartz MW. Central nervous system control of food intake and body weight. Nature. 2006;443(7109):289–295.
    1. Kelley AE, Baldo BA, Pratt WE, Will MJ. Corticostriatal-hypothalamic circuitry and food motivation: integration of energy, action and reward. Physiol Behav. 2005;86(5):773–795.
    1. Stice E, Spoor S, Bohon C, Small DM. Relation between obesity and blunted striatal response to food is moderated by TaqIA A1 allele. Science. 2008;322(5900):449–452.
    1. Wang GJ, Volkow ND, Telang F, et al. Exposure to appetitive food stimuli markedly activates the human brain. Neuroimage. 2004;21(4):1790–1797.
    1. Cheng Y, Meltzoff AN, Decety J. Motivation modulates the activity of the human mirror-neuron system. Cereb Cortex. 2007;17(8):1979–1986.
    1. Cornier MA, Von Kaenel SS, Bessesen DH, Tregellas JR. Effects of overfeeding on the neuronal response to visual food cues. American Journal of Clinical Nutrition. 2007;86(4):965–971.
    1. Farooqi IS, Bullmore E, Keogh J, Gillard J, O'Rahilly S, Fletcher PC. Leptin regulates striatal regions and human eating behavior. Science. 2007;317(5843):1355.
    1. Fuhrer D, Zysset S, Stumvoll M. Brain activity in hunger and satiety: an exploratory visually stimulated FMRI study. Obesity. 2008;16(5):945–950.
    1. Holsen LM, Zarcone JR, Thompson TI, et al. Neural mechanisms underlying food motivation in children and adolescents. Neuroimage. 2005;27(3):669–676.
    1. Killgore WD, Young AD, Femia LA, Bogorodzki P, Rogowska J, Yurgelun-Todd DA. Cortical and limbic activation during viewing of high- versus low-calorie foods. Neuroimage. 2003;19(4):1381–1394.
    1. Simmons WK, Martin A, Barsalou LW. Pictures of appetizing foods activate gustatory cortices for taste and reward. Cereb Cortex. 2005;15(10):1602–1608.
    1. Rothemund Y, Preuschhof C, Bohner G, et al. Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals. Neuroimage. 2007;37(2):410–421.
    1. LaBar KS, Gitelman DR, Parrish TB, Kim YH, Nobre AC, Mesulam MM. Hunger selectively modulates corticolimbic activation to food stimuli in humans. Behav Neurosci. 2001;115(2):493–500.
    1. Baicy K, London ED, Monterosso J, et al. Leptin replacement alters brain response to food cues in genetically leptin-deficient adults. Proc Natl Acad Sci U S A. 2007;104(46):18276–18279.
    1. Stoeckel LE, Weller RE, Cook EW, Twieg DB, Knowlton RC, Cox JE. Widespread reward-system activation in obese women in response to pictures of high-calorie foods. Neuroimage. 2008;41(2):636–647.
    1. Rosenbaum M, Sy M, Pavlovich K, Leibel RL, Hirsch J. Leptin reverses weight loss-induced changes in regional neural activity responses to visual food stimuli. J Clin Invest. 2008;118(7):2583–2591.
    1. Uher R, Treasure J, Heining M, Brammer MJ, Campbell IC. Cerebral processing of food-related stimuli: effects of fasting and gender. Behav Brain Res. 2006;169(1):111–119.
    1. Afari N, Noonan C, Goldberg J, et al. University of Washington Twin Registry: construction and characteristics of a community-based twin registry. Twin Res Hum Genet. 2006;9(6):1023–1029.
    1. Figlewicz DP, Evans SB, Murphy J, Hoen M, Baskin DG. Expression of receptors for insulin and leptin in the ventral tegmental area/substantia nigra (VTA/SN) of the rat. Brain Res. 2003;964(1):107–115.
    1. Naleid AM, Grace MK, Cummings DE, Levine AS. Ghrelin induces feeding in the mesolimbic reward pathway between the ventral tegmental area and the nucleus accumbens. Peptides. 2005;26(11):2274–2279.
    1. Porubska K, Veit R, Preissl H, Fritsche A, Birbaumer N. Subjective feeling of appetite modulates brain activity: An fMRI study. Neuroimage. 2006;32(3):1273–1280.
    1. Rolls ET. Taste, olfactory, and food texture processing in the brain, and the control of food intake. Physiol Behav. 2005;85(1):45–56.
    1. Del Parigi A, Chen K, Gautier JF, et al. Sex differences in the human brain's response to hunger and satiation. Am J Clin Nutr. 2002;75(6):1017–1022.
    1. Wang GJ, Volkow ND, Telang F, et al. Evidence of gender differences in the ability to inhibit brain activation elicited by food stimulation. Proc Natl Acad Sci U S A. 2009;106(4):1249–1254.
    1. DelParigi A, Chen K, Salbe AD, et al. Successful dieters have increased neural activity in cortical areas involved in the control of behavior. Int J Obes (Lond) 2007;31(3):440–448.
    1. Sun T, Walsh CA. Molecular approaches to brain asymmetry and handedness. Nat Rev Neurosci. 2006;7(8):655–662.
    1. Ojemann JG, Akbudak E, Snyder AZ, McKinstry RC, Raichle ME, Conturo TE. Anatomic localization and quantitative analysis of gradient refocused echo-planar fMRI susceptibility artifacts. Neuroimage. 1997;6(3):156–167.
    1. Del Parigi A, Gautier JF, Chen K, et al. Neuroimaging and obesity: mapping the brain responses to hunger and satiation in humans using positron emission tomography. Ann N Y Acad Sci. 2002;967:389–397.
    1. Ahima RS, Antwi DA. Brain regulation of appetite and satiety. Endocrinol Metab Clin North Am. 2008;37(4):811–823.
    1. Logothetis N. What we can and cannot do with fMRI. Nature. 2008;453:869–878.

Source: PubMed

3
Předplatit