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Behavior, Psychology and Sociology

Health, pleasure, and fullness: changing mindset affects brain responses and portion size selection in adults with overweight and obesity

Abstract

Background

Increased portion size is an essential contributor to the current obesity epidemic. The decision of how much to eat before a meal begins (i.e. pre-meal planning), and the attention assigned to this task, plays a vital role in our portion control.

Objective

We investigated whether pre-meal planning can be influenced by a shift in mindset in individuals with overweight and obesity in order to influence portion size selection and brain activity.

Design

We investigated the neural underpinnings of pre-meal planning in 36 adults of different weight groups (BMI < 25 kg/m2 and BMI ≥ 25 kg/m2) by means of functional magnetic resonance imaging. To examine the important role of attentional focus, participants were instructed to focus their mindset on the health effects of food, expected pleasure, or their intention to stay full until dinnertime, while choosing their portion size for lunch.

Results

We observed that participants of all weight groups reduced their portion size when adopting a health mindset, which was accompanied by enhanced activation of the self-control network (i.e. left prefrontal cortex). Fullness and pleasure mindsets resulted in contrasting reward responses in individuals with overweight and obesity compared to normal-weight individuals. Under the pleasure mindset, persons with overweight and obesity showed heightened activity in parts of the taste cortex (i.e. right frontal operculum), while the fullness mindset caused reduced activation in the ventral striatum, an important component of the reward system. Moreover, participants with overweight and obesity did not modify their behaviour under the pleasure mindset and selected larger portions than the normal-weight group.

Conclusions

We were able to identify specific brain response patterns as participants made a final choice of a portion size. The results demonstrate that different brain responses and behaviours during pre-meal planning can inform the development of effective strategies for healthy weight management.

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References

  1. Bhanji JP, Beer JS. Taking a different perspective: mindset influences neural regions that represent value and choice. Soc Cogn Affect Neurosci. 2012;7:782–93.

    Article  PubMed  Google Scholar 

  2. Hare TA, Malmaud J, Rangel A. Focusing attention on the health aspects of foods changes value signals in vmPFC and improves dietary choice. J Neurosci. 2011;31:11077–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Spetter MS, Malekshahi R, Birbaumer N, Luhrs M, van der Veer AH, Scheffler K, et al. Volitional regulation of brain responses to food stimuli in overweight and obese subjects: a real-time fMRI feedback study. Appetite. 2017;112:188–95.

    Article  PubMed  Google Scholar 

  4. Petit O, Merunka D, Anton JL, Nazarian B, Spence C, Cheok AD, et al. Health and pleasure in consumers’ dietary food choices: individual differences in the brain’s value system. PLoS ONE. 2016;11:e0156333.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Hare TA, Camerer CF, Rangel A. Self-control in decision-making involves modulation of the vmPFC valuation system. Science. 2009;324:646–8.

    Article  CAS  PubMed  Google Scholar 

  6. Goldman RL, Canterberry M, Borckardt JJ, Madan A, Byrne TK, George MS, et al. Executive control circuitry differentiates degree of success in weight loss following gastric-bypass surgery. Obesity (Silver Spring). 2013;21:2189–96.

    Article  Google Scholar 

  7. Hege MA, Stingl KT, Ketterer C, Haring HU, Heni M, Fritsche A, et al. Working memory-related brain activity is associated with outcome of lifestyle intervention. Obesity (Silver Spring). 2013;21:2488–94.

    Article  CAS  Google Scholar 

  8. Han JE, Boachie N, Garcia-Garcia I, Michaud A, Dagher A. Neural correlates of dietary self-control in healthy adults: a meta-analysis of functional brain imaging studies. Physiol Behav. 2018;192:98–108.

    Article  CAS  PubMed  Google Scholar 

  9. Brooks SJ, Cedernaes J, Schioth HB. Increased prefrontal and parahippocampal activation with reduced dorsolateral prefrontal and insular cortex activation to food images in obesity: a meta-analysis of fMRI studies. PLoS ONE. 2013;8:e60393.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Hege MA, Stingl KT, Kullmann S, Schag K, Giel KE, Zipfel S, et al. Attentional impulsivity in binge eating disorder modulates response inhibition performance and frontal brain networks. Int J Obes (Lond). 2015;39:353–60.

    Article  CAS  Google Scholar 

  11. Brunstrom JM. Mind over platter: pre-meal planning and the control of meal size in humans. Int J Obes (Lond). 2014;38:S9–12.

    Article  Google Scholar 

  12. Labbe D, Rytz A, Brunstrom JM, Forde CG, Martin N. Influence of BMI and dietary restraint on self-selected portions of prepared meals in US women. Appetite. 2017;111:203–7.

    Article  PubMed  Google Scholar 

  13. Fay SH, Ferriday D, Hinton EC, Shakeshaft NG, Rogers PJ, Brunstrom JM. What determines real-world meal size? Evidence for pre-meal planning. Appetite. 2011;56:284–9.

    Article  PubMed  Google Scholar 

  14. Wilkinson LL, Hinton EC, Fay SH, Ferriday D, Rogers PJ, Brunstrom JM. Computer-based assessments of expected satiety predict behavioural measures of portion-size selection and food intake. Appetite. 2012;59:933–8.

    Article  PubMed  Google Scholar 

  15. Brunstrom JM, Shakeshaft NG. Measuring affective (liking) and non-affective (expected satiety) determinants of portion size and food reward. Appetite. 2009;52:108–14.

    Article  PubMed  Google Scholar 

  16. Brunstrom JM, Shakeshaft NG, Scott-Samuel NE. Measuring ‘expected satiety’ in a range of common foods using a method of constant stimuli. Appetite. 2008;51:604–14.

    Article  PubMed  Google Scholar 

  17. Hege MA, Veit R, Krumsiek J, Kullmann S, Heni M, Rogers PJ, et al. Eating less or more—mindset induced changes in neural correlates of pre-meal planning. Appetite. 2018;125:492–501.

    Article  PubMed  Google Scholar 

  18. Brunstrom JM, Rogers PJ. How many calories are on our plate? Expected fullness, not liking, determines meal-size selection. Obesity (Silver Spring). 2009;17:1884–90.

    Article  Google Scholar 

  19. Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada MLC, Jaime PC. The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018;21:5–17.

    Article  PubMed  Google Scholar 

  20. Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage. 2003;19:1233–9.

    Article  PubMed  Google Scholar 

  21. Harris JA, Benedict FG. A biometric study of human basal metabolism. Proc Natl Acad Sci USA. 1918;4:370–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Frank S, Kullmann S, Veit R. Food related processes in the insular cortex. Front Hum Neurosci. 2013;7:499.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Amodio DM, Frith CD. Meeting of minds: the medial frontal cortex and social cognition. Nat Rev Neurosci. 2006;7:268–77.

    Article  CAS  PubMed  Google Scholar 

  24. Siep N, Roefs A, Roebroeck A, Havermans R, Bonte M, Jansen A. Fighting food temptations: the modulating effects of short-term cognitive reappraisal, suppression and up-regulation on mesocorticolimbic activity related to appetitive motivation. Neuroimage. 2012;60:213–20.

    Article  PubMed  Google Scholar 

  25. Yokum S, Stice E. Cognitive regulation of food craving: effects of three cognitive reappraisal strategies on neural response to palatable foods. Int J Obes (Lond). 2013;37:1565–70.

    Article  CAS  Google Scholar 

  26. Kumar S, Grundeis F, Brand C, Hwang HJ, Mehnert J, Pleger B. Differences in insula and pre-/frontal responses during reappraisal of food in lean and obese humans. Front Hum Neurosci. 2016;10:233.

    PubMed  PubMed Central  Google Scholar 

  27. Stice E, Yokum S, Burger K, Rohde P, Shaw H, Gau JM. A pilot randomized trial of a cognitive reappraisal obesity prevention program. Physiol Behav. 2015;138:124–32.

    Article  CAS  PubMed  Google Scholar 

  28. Kohl SH, Veit R, Spetter MS, Gunther A, Rina A, Luhrs M, et al. Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: a randomized controlled trial in overweight and obese subjects. Neuroimage. 2019;191:596–609.

    Article  PubMed  Google Scholar 

  29. Kim SH, Chung JH, Kim TH, Lim SH, Kim Y, Lee YA, et al. The effects of repetitive transcranial magnetic stimulation on eating behaviors and body weight in obesity: a randomized controlled study. Brain Stimul. 2018;11:528–35.

    Article  PubMed  Google Scholar 

  30. Gluck ME, Viswanath P, Stinson EJ. Obesity, appetite, and the prefrontal cortex. Curr Obes Rep. 2017;6:380–8.

    Article  PubMed  Google Scholar 

  31. Heinitz S, Reinhardt M, Piaggi P, Weise CM, Diaz E, Stinson EJ, et al. Neuromodulation directed at the prefrontal cortex of subjects with obesity reduces snack food intake and hunger in a randomized trial. Am J Clin Nutr. 2017;106:1347–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Cornil Y, Chandon P. Pleasure as a substitute for size: how multisensory imagery can make people happier with smaller food portions. J Marketing Res. 2016;53:847–64.

    Article  Google Scholar 

  33. Rogers PJ. Combating excessive eating: a role for four evidence-based remedies. Obesity. 2018;26:S18–S24.

    Article  PubMed  Google Scholar 

  34. Hampshire A, Chamberlain SR, Monti MM, Duncan J, Owen AM. The role of the right inferior frontal gyrus: inhibition and attentional control. Neuroimage. 2010;50:1313–9.

    Article  PubMed  Google Scholar 

  35. Erika-Florence M, Leech R, Hampshire A. A functional network perspective on response inhibition and attentional control. Nat Commun. 2014;5:4073.

    Article  CAS  PubMed  Google Scholar 

  36. Veldhuizen MG, Bender G, Constable RT, Small DM. Trying to detect taste in a tasteless solution: modulation of early gustatory cortex by attention to taste. Chem Senses. 2007;32:569–81.

    Article  PubMed  Google Scholar 

  37. Veldhuizen MG, Gitelman DR, Small DM. An fMRI study of the interactions between the attention and the gustatory networks. Chemosens Percept. 2012;5:117–27.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Stice E, Yokum S. Relation of neural response to palatable food tastes and images to future weight gain: Using bootstrap sampling to examine replicability of neuroimaging findings. Neuroimage. 2018;183:522–31.

    Article  CAS  PubMed  Google Scholar 

  39. 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;117:924–35.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Knutson B, Greer SM. Anticipatory affect: neural correlates and consequences for choice. Philos Trans R Soc Lond B Biol Sci. 2008;363:3771–86.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Simon JJ, Skunde M, Hamze Sinno M, Brockmeyer T, Herpertz SC, Bendszus M, et al. Impaired cross-talk between mesolimbic food reward processing and metabolic signaling predicts body mass index. Front Behav Neurosci. 2014;8:359.

    PubMed  PubMed Central  Google Scholar 

  43. van der Laan LN, de Ridder DT, Viergever MA, Smeets PA. The first taste is always with the eyes: a meta-analysis on the neural correlates of processing visual food cues. Neuroimage. 2011;55:296–303.

    Article  PubMed  Google Scholar 

  44. Smeets PA, de Graaf C, Stafleu A, van Osch MJ, Nievelstein RA, van der Grond J. Effect of satiety on brain activation during chocolate tasting in men and women. Am J Clin Nutr. 2006;83:1297–305.

    Article  CAS  PubMed  Google Scholar 

  45. Yousuf M, Heldmann M, Gottlich M, Munte TF, Donamayor N. Neural processing of food and monetary rewards is modulated by metabolic state. Brain Imaging Behav 2017;12:1379–92.

  46. Devoto F, Zapparoli L, Bonandrini R, Berlingeri M, Ferrulli A, Luzi L, et al. Hungry brains: a meta-analytical review of brain activation imaging studies on food perception and appetite in obese individuals. Neurosci Biobehav Rev. 2018;94:271–85.

    Article  CAS  PubMed  Google Scholar 

  47. Kroemer NB, Small DM. Fuel not fun: reinterpreting attenuated brain responses to reward in obesity. Physiol Behav. 2016;162:37–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Mathar D, Neumann J, Villringer A, Horstmann A. Failing to learn from negative prediction errors: Obesity is associated with alterations in a fundamental neural learning mechanism. Cortex. 2017;95:222–37.

    Article  PubMed  Google Scholar 

  49. Schultz W. Dopamine reward prediction error coding. Dialogues Clin Neurosci. 2016;18:23–32.

    PubMed  PubMed Central  Google Scholar 

  50. Medic N, Ziauddeen H, Forwood SE, Davies KM, Ahern AL, Jebb SA, et al. The presence of real food usurps hypothetical health value judgment in overweight people. eNeuro. 2016. https://doi.org/10.1523/ENEURO.0025-16.2016.

  51. Rolls BJ, Roe LS, James BL, Sanchez CE. Does the incorporation of portion-control strategies in a behavioral program improve weight loss in a 1-year randomized controlled trial? Int J Obes (Lond). 2017;41:434–42.

    Article  CAS  Google Scholar 

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Acknowledgements

This work was supported by the European Union Seventh Framework Programme (FP7/2007-2013) under Grant Agreement 607310 (Nudge-it) and a grant (01GIO925) from the Federal Ministry of Education and Research (BMBF) to the German Center for Diabetes Research (DZD e.V.) and the Helmholtz Alliance ICEMED-Imaging and Curing Environmental Metabolic Diseases.

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Correspondence to Stephanie Kullmann.

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Veit, R., Horstman, L.I., Hege, M.A. et al. Health, pleasure, and fullness: changing mindset affects brain responses and portion size selection in adults with overweight and obesity. Int J Obes 44, 428–437 (2020). https://doi.org/10.1038/s41366-019-0400-6

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