Neural responsivity during soft drink intake, anticipation, and advertisement exposure in habitually consuming youth

Obesity

Volumn 22, Issue 2, 2014, Pages 441-450

  Burger, Kyle S ^a   Stice, Eric ^a  

^a OREGON RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADOLESCENT BEHAVIOR; ADVERTISING AS TOPIC; ANTICIPATION, PSYCHOLOGICAL; ATTENTION; CARBONATED BEVERAGES; CEREBRAL CORTEX; CROSS-SECTIONAL STUDIES; CUES; DAIRY PRODUCTS; DIETARY FATS; DIETARY SUCROSE; FEMALE; FOOD HABITS; FRONTAL LOBE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEURONS; OREGON; SOMATOSENSORY CORTEX; VISUAL CORTEX;

EID: 84895901371     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.20563     Document Type: Article

References (40)

1. Brownell KD, Farley T, Willett WC, et al. The public health and economic benefits of taxing sugar-sweetened beverages. N Engl J Med 2009; 361: 1599-1605.
2. Ludwig DS, Peterson KE, Gortmaker SL,. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 2001; 357: 505-508.
3. Malik VS, Schulze MB, Hu FB,. Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 2006; 84: 274-288.
4. Harnack L, Stang J, Story M,. Soft drink consumption among US children and adolescents: nutritional consequences. J Am Diet Assoc 1999; 99: 436-441.
5. Powell LM, Szczypka G, Chaloupka FJ,. Exposure to food advertising on television among US children. Arch Pediatr Adolesc Med 2007; 161: 553-560.
6. Wilde P,. Self-regulation and the response to concerns about food and beverage marketing to children in the United States. Nutr Rev 2009; 67: 155-166.
7. 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: 410-421.
8. Stice E, Yokum S, Burger KS, Epstein LH, Small DM,. Youth at risk for obesity show greater activation of striatal and somatosensory regions to food. J Neurosci 2011; 31: 4360-4366.
9. 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: 636-647.
10. Bruce AS, Holsen LM, Chambers RJ, et al. Obese children show hyperactivation to food pictures in brain networks linked to motivation, reward and cognitive control. Int J Obes 2010; 34: 1494-1500.
11. Ng J, Stice E, Yokum S, Bohon C,. An fMRI study of obesity, food reward, and perceived caloric density. Does a low-fat label make food less appealing? Appetite 2011; 57: 65-72.
12. Stice E, Spoor S, Bohon C, Veldhuizen MG, Small DM,. Relation of reward from food intake and anticipated food intake to obesity: a functional magnetic resonance imaging study. J Abnorm Psychol 2008; 117: 924-935.
13. Frank GK, Reynolds JR, Shott ME, et al. Anorexia nervosa and obesity are associated with opposite brain reward response. Neuropsychopharmacology 2012; 37: 2031-2046.
14. Green E, Jacobson A, Haase L, Murphy C,. Reduced nucleus accumbens and caudate nucleus activation to a pleasant taste is associated with obesity in older adults. Brain Res 2011; 22: 109-117.
15. Burger KS, Stice E,. Elevated energy intake is correlated with hyper-responsivity in attentional, gustatory, and reward brain regions while anticipating palatable food receipt. Am J Clin Nutr 2013; 97: 1188-1194.
16. Burger KS, Stice E,. Frequent ice cream consumption is associated with reduced striatal response to receipt of an ice cream-based milkshake. Am J Clin Nutr 2012; 95: 810-817.
17. Green E, Murphy C,. Altered processing of sweet taste in the brain of diet soda drinkers. Physiol Behav 2012; 107: 560-567.
18. Burger KS, Stice E,. Variability in reward responsivity and obesity: evidence from brain imaging studies. Curr Drug Abuse Rev 2011; 4: 182-189.
19. Kenny PJ,. Reward mechanisms in obesity: new insights and future directions. Neuron 2011; 69 (4): 664-679.
20. McClure SM, Li J, Tomlin D, Cypert KS, Montague LM, Montague PR,. Neural correlates of behavioral preference for culturally familiar drinks. Neuron 2004; 44: 379-387.
21. Smeets PA, Weijzen P, deGraaf C, Viergever MA,. Consumption of caloric and non-caloric versions of a soft drink differentially affects brain activation during tasting. NeuroImage 2011; 54: 1367-1374.
22. Filbey FM, Myers US, DeWitt S,. Reward circuit function in high BMI individuals with compulsive overeating: similarities with addiction. NeuroImage 2012; 63: 1800-1806.
23. Story M, French S,. Food advertising and marketing directed at children and adolescents in the US. Int J Behav Nutr Phys Act 2004; 1: 1-17.
24. Gorn GJ,. The effects of music in advertising on choice behavior: a classical conditioning approach. J Marketing 1982; 46: 94-101.
25. Reimann M, Castaño R, Zaichkowsky J, Bechara A,. How we relate to brands: psychological and neurophysiological insights into consumer-brand relationships. J Consum Psychol 2011; 22: 128-142.
26. Schaefer M, Knuth M, Rumpel F,. Striatal response to favorite brands as a function of neuroticism and extraversion. Brain Res 2011; 1425: 83-89.
27. Schaefer M, Rotte M,. Thinking on luxury or pragmatic brand products: brain responses to different categories of culturally based brands. Brain Res 2007; 1165: 98-104.
28. Stoll M, Baecke S, Kenning P,. What they see is what they get? An fMRI study on neural correlates of attractive packaging. J Consum Behav 2008; 7: 342-359.
29. Bruce AS, Bruce JM, Black WR, et al. Branding and a child's brain: an fMRI study of neural responses to logos. Soc Cogn Affect Neurosci 2013. doi: 10.1093/scan/nss109.
30. Bruce AS, Lepping RJ, Bruce JM, et al. Brain responses to food logos in obese and healthy weight children. J Pediatr 2013; 162: 759-764.
31. Harris JL,. Sugary drink FACTS: evaluating sugary drink nutrition and marketing to youth. Rudd Center for Food Policy and Obesity; 2011.
32. Zald DH, Pardo JV,. Cortical activation induced by intraoral stimulation with water in humans. Chem Senses 2000; 25: 267-275.
33. Thesen S, Heid O, Mueller E, Schad LR,. Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 2000; 44: 457-465.
34. Forman S, Cohen J, Fitzgerald M, Eddy W, Mintun M, Noll D,. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn Reson Med 1995; 33: 636-647.
35. Nolan-Poupart S, Veldhuizen MG, Geha P, Small DM,. Midbrain response to milkshake correlates with ad libitum milkshake intake in the absence of hunger. Appetite 2012; 60: 168-174.
36. Maddock RJ,. The retrosplenial cortex and emotion: new insights from functional neuroimaging of the human brain. Trends Neurosci 1999; 22: 310-316.
37. Deppe M, Schwindt W, Kugel H, Plassmann H, Kenning P,. Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. J Neuroimaging 2005; 15: 171-182.
38. Knutson B, Rick S, Wimmer GE, Prelec D, Loewenstein G,. Neural predictors of purchases. Neuron 2007; 53: 147-156.
39. Berkman ET, Falk EB, Lieberman MD,. In the trenches of real-world self-control neural correlates of breaking the link between craving and smoking. Psychol Sci 2011; 22: 498-506.
40. Ridderinkhof KR, van den Wildenberg WP, Segalowitz SJ, Carter CS,. Neurocognitive mechanisms of cognitive control: the role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain Cogn 2004; 56: 129-140.