The sum of its parts--effects of gastric distention, nutrient content and sensory stimulation on brain activation

Maartje S Spetter, Cees de Graaf, Monica Mars, Max A Viergever, Paul A M Smeets, Maartje S Spetter, Cees de Graaf, Monica Mars, Max A Viergever, Paul A M Smeets

Abstract

During food consumption the brain integrates multiple interrelated neural and hormonal signals involved in the regulation of food intake. Factors influencing the decision to stop eating include the foods' sensory properties, macronutrient content, and volume, which in turn affect gastric distention and appetite hormone responses. So far, the contributions of gastric distention and oral stimulation by food on brain activation have not been studied. The primary objective of this study was to assess the effect of gastric distention with an intra-gastric load and the additional effect of oral stimulation on brain activity after food administration. Our secondary objective was to study the correlations between hormone responses and appetite-related ratings and brain activation. Fourteen men completed three functional magnetic resonance imaging sessions during which they either received a naso-gastric infusion of water (stomach distention), naso-gastric infusion of chocolate milk (stomach distention + nutrients), or ingested chocolate-milk (stomach distention + nutrients + oral exposure). Appetite ratings and blood parameters were measured at several time points. During gastric infusion, brain activation was observed in the midbrain, amygdala, hypothalamus, and hippocampus for both chocolate milk and water, i.e., irrespective of nutrient content. The thalamus, amygdala, putamen and precuneus were activated more after ingestion than after gastric infusion of chocolate milk, whereas infusion evoked greater activation in the hippocampus and anterior cingulate. Moreover, areas involved in gustation and reward were activated more after oral stimulation. Only insulin responses following naso-gastric infusion of chocolate milk correlated with brain activation, namely in the putamen and insula. In conclusion, we show that normal (oral) food ingestion evokes greater activation than gastric infusion in stomach distention and food intake-related brain areas. This provides neural evidence for the importance of sensory stimulation in the process of satiation.

Trial registration: ClinicalTrials.gov NCT01644539.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Experimental design.
Figure 1. Experimental design.
A: Flow diagram. B: Timeline of events during one fMRI run (total duration 35 min). Every block represents one 4.5-min time bin. At all illustrated time points (t = min) blood was drawn and fullness, desire to eat and anxiety were rated.*During this time bin chocolate milk was infused or ingested, or water was infused.
Figure 2. Effect of gastric infusion of…
Figure 2. Effect of gastric infusion of water and chocolate milk on brain activity compared to baseline.
Left panel: T-map of the increased response to chocolate milk and water infusion versus baseline overlaid onto the mean anatomical scan, thresholded at P

Figure 3. Changes in brain activity after…

Figure 3. Changes in brain activity after treatment for the three conditions. Left panel: T-map…

Figure 3. Changes in brain activity after treatment for the three conditions. Left panel: T-map of the increased response to oral chocolate milk stimulation after administration versus baseline overlaid onto the mean anatomical scan, thresholded at P
Right panel: Mean parameter estimates (a.u. ± SEM) over time from selected significant clusters. Area under the curve was greater for the oral condition in all brain areas, and for the control condition in the putamen (all P

Figure 4. Correlation between fullness and insulin…

Figure 4. Correlation between fullness and insulin changes (from baseline) and changes in brain activity…

Figure 4. Correlation between fullness and insulin changes (from baseline) and changes in brain activity in corresponding time bins during the gastric condition (n = 14, 5 time bins per subject, T-maps are thresholded at P
Left pane: T-map of selected significant correlations overlaid onto the mean anatomical scan. A: Correlation T-map and scatter plot showing the parameter estimates of the ACC peak voxel at MNI (−6, −16, 30) against fullness changes. B: Correlation T-map and scatter plot showing the parameter estimates of the putamen peak voxel (34, 0, 6) against insulin changes. C: Correlation T-map and scatter plot of the parameter estimates of the insula peak voxel at MNI (−38, 0, 2) plotted against insulin changes.
Similar articles
Cited by
References
    1. World Health Organization (2000) Obesity: preventing and managing the global epidemic. World Health Organ Tech Rep Ser 894: 1–253. - PubMed
    1. Westerterp KR (2010) Physical activity, food intake, and body weight regulation: insights from doubly labeled water studies. Nutr Rev 68: 148–154. - PubMed
    1. Blundell JE, Lawton CL, Cotton JR, Macdiarmid JI (1996) Control of human appetite: implications for the intake of dietary fat. Annu Rev Nutr 16: 285–319. - PubMed
    1. Blundell JE, Halford JC (1994) Regulation of nutrient supply: the brain and appetite control. Proc Nutr Soc 53: 407–418. - PubMed
    1. Stratton RJ, Stubbs RJ, Elia M (2008) Bolus tube feeding suppresses food intake and circulating ghrelin concentrations in healthy subjects in a short-term placebo-controlled trial. Am J Clin Nutr 88: 77–83. - PubMed
Show all 70 references
Publication types
MeSH terms
Associated data
Grant support
This work was financed by the Dutch Technology Foundation STW (http://www.stw.nl/en/) under grant nr. 07438. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Figure 3. Changes in brain activity after…
Figure 3. Changes in brain activity after treatment for the three conditions. Left panel: T-map of the increased response to oral chocolate milk stimulation after administration versus baseline overlaid onto the mean anatomical scan, thresholded at P
Right panel: Mean parameter estimates (a.u. ± SEM) over time from selected significant clusters. Area under the curve was greater for the oral condition in all brain areas, and for the control condition in the putamen (all P

Figure 4. Correlation between fullness and insulin…

Figure 4. Correlation between fullness and insulin changes (from baseline) and changes in brain activity…

Figure 4. Correlation between fullness and insulin changes (from baseline) and changes in brain activity in corresponding time bins during the gastric condition (n = 14, 5 time bins per subject, T-maps are thresholded at P
Left pane: T-map of selected significant correlations overlaid onto the mean anatomical scan. A: Correlation T-map and scatter plot showing the parameter estimates of the ACC peak voxel at MNI (−6, −16, 30) against fullness changes. B: Correlation T-map and scatter plot showing the parameter estimates of the putamen peak voxel (34, 0, 6) against insulin changes. C: Correlation T-map and scatter plot of the parameter estimates of the insula peak voxel at MNI (−38, 0, 2) plotted against insulin changes.
Figure 4. Correlation between fullness and insulin…
Figure 4. Correlation between fullness and insulin changes (from baseline) and changes in brain activity in corresponding time bins during the gastric condition (n = 14, 5 time bins per subject, T-maps are thresholded at P
Left pane: T-map of selected significant correlations overlaid onto the mean anatomical scan. A: Correlation T-map and scatter plot showing the parameter estimates of the ACC peak voxel at MNI (−6, −16, 30) against fullness changes. B: Correlation T-map and scatter plot showing the parameter estimates of the putamen peak voxel (34, 0, 6) against insulin changes. C: Correlation T-map and scatter plot of the parameter estimates of the insula peak voxel at MNI (−38, 0, 2) plotted against insulin changes.

References

    1. World Health Organization (2000) Obesity: preventing and managing the global epidemic. World Health Organ Tech Rep Ser 894: 1–253.
    1. Westerterp KR (2010) Physical activity, food intake, and body weight regulation: insights from doubly labeled water studies. Nutr Rev 68: 148–154.
    1. Blundell JE, Lawton CL, Cotton JR, Macdiarmid JI (1996) Control of human appetite: implications for the intake of dietary fat. Annu Rev Nutr 16: 285–319.
    1. Blundell JE, Halford JC (1994) Regulation of nutrient supply: the brain and appetite control. Proc Nutr Soc 53: 407–418.
    1. Stratton RJ, Stubbs RJ, Elia M (2008) Bolus tube feeding suppresses food intake and circulating ghrelin concentrations in healthy subjects in a short-term placebo-controlled trial. Am J Clin Nutr 88: 77–83.
    1. Shide DJ, Caballero B, Reidelberger R, Rolls BJ (1995) Accurate energy compensation for intragastric and oral nutrients in lean males. Am J Clin Nutr 61: 754–764.
    1. Rolls BJ, Rowe EA, Rolls ET (1982) How sensory properties of foods affect human feeding behavior. Physiol Behav 29: 409–417.
    1. Sorensen LB, Moller P, Flint A, Martens M, Raben A (2003) Effect of sensory perception of foods on appetite and food intake: a review of studies on humans. Int J Obes Relat Metab Disord 27: 1152–1166.
    1. Rolls BJ, Rolls ET, Rowe EA, Sweeney K (1981) Sensory specific satiety in man. Physiol Behav 27: 137–142.
    1. Smeets AJ, Lejeune MP, Westerterp-Plantenga MS (2009) Effects of oral fat perception by modified sham feeding on energy expenditure, hormones and appetite profile in the postprandial state. Br J Nutr 101: 1360–1368.
    1. Cecil JE, Francis J, Read NW (1998) Relative contributions of intestinal, gastric, oro-sensory influences and information to changes in appetite induced by the same liquid meal. Appetite 31: 377–390.
    1. Zijlstra N, Mars M, de Wijk RA, Westerterp-Plantenga MS, de Graaf C (2008) The effect of viscosity on ad libitum food intake. Int J Obes (Lond) 32: 676–683.
    1. Weijzen PL, Smeets PA, de Graaf C (2009) Sip size of orangeade: effects on intake and sensory-specific satiation. Br J Nutr 102: 1091–1097.
    1. Cecil JE, Francis J, Read NW (1999) Comparison of the effects of a high-fat and high-carbohydrate soup delivered orally and intragastrically on gastric emptying, appetite, and eating behaviour. Physiol Behav 67: 299–306.
    1. Mackie AR, Rafiee H, Malcom P, Salt L, van Aken G (2013) Specific food structures supress appetite through reduced gastric emptying rate. Am J Physiol Gastrointest Liver Physiol 304: 1038–1043.
    1. Kringelbach ML, de Araujo I, Rolls ET (2004) Taste-related activity in the human dorsolateral prefrontal cortex. Neuroimage 21: 781–788.
    1. Small DM (2006) Central gustatory processing in humans. Adv Otorhinolaryngol 63: 191–220.
    1. Small DM, Green B (2011) A Proposed Model of a Flavor Modality. The Neural Bases of Multisensory Processes. pp. 705–726.
    1. Zatorre RJ, Jones-Gotman M, Evans AC, Meyer E (1992) Functional localization and lateralization of human olfactory cortex. Nature 360: 339–340.
    1. Kringelbach ML, Berridge KC (2010) The Neuroscience of Happiness and Pleasure. Soc Res (New York) 77: 659–678.
    1. Berridge KC (2003) Pleasures of the brain. Brain Cogn 52: 106–128.
    1. Hellstrom PM, Geliebter A, Naslund E, Schmidt PT, Yahav EK, et al. (2004) Peripheral and central signals in the control of eating in normal, obese and binge-eating human subjects. Br J Nutr 92 Suppl 1: S47–S57.
    1. Veldhuizen MG, Albrecht J, Zelano C, Boesveldt S, Breslin P, et al. (2011) Identification of human gustatory cortex by activation likelihood estimation. Hum Brain Mapp 32: 2256–2266.
    1. Lundstrom JN, Boesveldt S, Albrecht J (2011) Central Processing of the Chemical Senses: an Overview. ACS Chem Neurosci 2: 5–16.
    1. van der Laan LN, de Ridder DT, Viergever MA, Smeets PA (2011) The first taste is always with the eyes: a meta-analysis on the neural correlates of processing visual food cues. Neuroimage 55: 296–303.
    1. Wang GJ, Tomasi D, Backus W, Wang R, Telang F, et al. (2008) Gastric distention activates satiety circuitry in the human brain. Neuroimage 39: 1824–1831.
    1. Stephan E, Pardo JV, Faris PL, Hartman BK, Kim SW, et al. (2003) Functional neuroimaging of gastric distention. J Gastrointest Surg 7: 740–749.
    1. de Graaf C, Blom WA, Smeets PA, Stafleu A, Hendriks HF (2004) Biomarkers of satiation and satiety. Am J Clin Nutr 79: 946–961.
    1. Mars M, Stafleu A, de Graaf C (2012) Use of satiety peptides in assessing the satiating capacity of foods. Physiol Behav 105: 483–488.
    1. Cummings DE, Overduin J (2007) Gastrointestinal regulation of food intake. J Clin Invest 117: 13–23.
    1. Delzenne N, Blundell J, Brouns F, Cunningham K, de Graaf C, et al. (2010) Gastrointestinal targets of appetite regulation in humans. Obes Rev 11: 234–250.
    1. Blundell JE, Gillett A (2001) Control of food intake in the obese. Obes Res 9 Suppl 4: 263S–270S.
    1. Batterham RL, ffytche DH, Rosenthal JM, Zelaya FO, Barker GJ, et al. (2007) PYY modulation of cortical and hypothalamic brain areas predicts feeding behaviour in humans. Nature 450: 106–109.
    1. Naslund E, Hellstrom PM (2007) Appetite signaling: from gut peptides and enteric nerves to brain. Physiol Behav 92: 256–262.
    1. Hillebrand JJ, de Wied D, Adan RA (2002) Neuropeptides, food intake and body weight regulation: a hypothalamic focus. Peptides 23: 2283–2306.
    1. Frank S, Linder K, Kullmann S, Heni M, Ketterer C, et al. (2012) Fat intake modulates cerebral blood flow in homeostatic and gustatory brain areas in humans. Am J Clin Nutr 95: 1342–1349.
    1. Van Strien T (1997) The concurrent validity of a classification of dieters with low versus high susceptibility toward failure of restraint. Addict Behav 22: 587–597.
    1. Van Strien T, Frijters JER, Bergers GPA, Defares PB (1986) The Dutch Eating Behaviour Questionnaire (DEBQ) for assessment of restrained, emotional and external eating behaviour. Int J Eat Disord 295–315.
    1. Kroemer NB, Krebs L, Kobiella A, Grimm O, Vollstadt-Klein S, et al. (2012) (Still) Longing for food: Insulin reactivity modulated repsonse to food pictures. Human Brain Mapping In press.
    1. Smeets PA, Vidarsdottir S, de Graaf C, Stafleu A, van Osch MJ, et al. (2007) Oral glucose intake inhibits hypothalamic neuronal activity more effectively than glucose infusion. Am J Physiol Endocrinol Metab 293: E754–E758.
    1. Friston K, Holmes AP, Worsley KJ, Poline JP, Frith CD, et al. (1994) Statistical parametric maps in functional imaging. A general linear approach. Human Brain Mapping 2: 189–210.
    1. Evans AD, Collins DL, Millst SR, Brown ED, Kelly RL, et al. (1993) 3D statistical neuroanatomical models from 305 MRI volumes. Proc IEEE Nucl Sci Symp Med Imaging 3: 1813–1817.
    1. McKie S, Del-Ben C, Elliott R, Williams S, del Vai N, et al. (2005) Neuronal effects of acute citalopram detected by pharmacoMRI. Psychopharmacology (Berl) 180: 680–686.
    1. Lassman DJ, McKie S, Gregory LJ, Lal S, D'Amato M, et al. (2010) Defining the role of cholecystokinin in the lipid-induced human brain activation matrix. Gastroenterology 138: 1514–1524.
    1. Small DM, Zatorre RJ, Dagher A, Evans AC, Jones-Gotman M (2001) Changes in brain activity related to eating chocolate: from pleasure to aversion. Brain 124: 1720–1733.
    1. Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH (2003) An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 19: 1233–1239.
    1. Berthoud HR (2002) Multiple neural systems controlling food intake and body weight. Neurosci Biobehav Rev 26: 393–428.
    1. Berthoud HR (2011) Metabolic and hedonic drives in the neural control of appetite: who is the boss? Curr Opin Neurobiol 21: 888–896.
    1. Gottfried JA, O'Doherty J, Dolan RJ (2003) Encoding predictive reward value in human amygdala and orbitofrontal cortex. Science 301: 1104–1107.
    1. Zald DH, Pardo JV (1997) Emotion, olfaction, and the human amygdala: amygdala activation during aversive olfactory stimulation. Proc Natl Acad Sci U S A 94: 4119–4124.
    1. Berthoud HR (2004) Mind versus metabolism in the control of food intake and energy balance. Physiol Behav 81: 781–793.
    1. Davidson TL, Jarrard LE (1993) A role for hippocampus in the utilization of hunger signals. Behav Neural Biol 59: 167–171.
    1. Davidson TL, Kanoski SE, Schier LA, Clegg DJ, Benoit SC (2007) A potential role for the hippocampus in energy intake and body weight regulation. Curr Opin Pharmacol 7: 613–616.
    1. Del Parigi A, Chen K, Gautier JF, Salbe AD, Pratley RE, et al. (2002) Sex differences in the human brain's response to hunger and satiation. Am J Clin Nutr 75: 1017–1022.
    1. Min DK, Tuor UI, Chelikani PK (2011) Gastric distention induced functional magnetic resonance signal changes in the rodent brain. Neuroscience 179: 151–158.
    1. Haruno M, Kawato M (2006) Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. J Neurophysiol 95: 948–959.
    1. Berns GS, McClure SM, Pagnoni G, Montague PR (2001) Predictability modulates human brain response to reward. J Neurosci 21: 2793–2798.
    1. Rolls ET (2007) Sensory processing in the brain related to the control of food intake. Proc Nutr Soc 66: 96–112.
    1. Reilly S (1998) The role of the gustatory thalamus in taste-guided behavior. Neurosci Biobehav Rev 22: 883–901.
    1. Cerf-Ducastel B, Van de Moortele PF, MacLeod P, Le BD, Faurion A (2001) Interaction of gustatory and lingual somatosensory perceptions at the cortical level in the human: a functional magnetic resonance imaging study. Chem Senses 26: 371–383.
    1. Haase L, Cerf-Ducastel B, Buracas G, Murphy C (2007) On-line psychophysical data acquisition and event-related fMRI protocol optimized for the investigation of brain activation in response to gustatory stimuli. J Neurosci Methods 159: 98–107.
    1. O'Doherty J, Rolls ET, Francis S, Bowtell R, McGlone F (2001) Representation of pleasant and aversive taste in the human brain. J Neurophysiol 85: 1315–1321.
    1. Malik S, McGlone F, Dagher A (2011) State of expectancy modulates the neural response to visual food stimuli in humans. Appetite 56: 302–309.
    1. Cecil JE, Castiglione K, French S, Francis J, Read NW (1998) Effects of intragastric infusions of fat and carbohydrate on appetite ratings and food intake from a test meal. Appetite 30: 65–77.
    1. Cantu P, Savojardo D, Barelli MV, Buonamici V, Bertinieri G, et al. (2008) Cardiovascular effects of gastric intubation and distension in healthy humans. Neurogastroenterol Motil 20: 304–310.
    1. Haase L, Cerf-Ducastel B, Murphy C (2009) Cortical activation in response to pure taste stimuli during the physiological states of hunger and satiety. Neuroimage 44: 1008–1021.
    1. Spetter MS, de Graaf C, Viergever MA, Smeets PA (2012) Anterior cingulate taste activation predicts ad libitum intake of sweet and savory drinks in healthy, normal-weight men. J Nutr 142: 795–802.
    1. Cornier MA, Von Kaenel SS, Bessesen DH, Tregellas JR (2007) Effects of overfeeding on the neuronal response to visual food cues. Am J Clin Nutr 86: 965–971.
    1. Tataranni PA, Gautier JF, Chen K, Uecker A, Bandy D, et al. (1999) Neuroanatomical correlates of hunger and satiation in humans using positron emission tomography. Proc Natl Acad Sci U S A 96: 4569–4574.
    1. Volkow ND, Wang GJ, Fowler JS, Logan J, Jayne M, et al. (2002) “Nonhedonic” food motivation in humans involves dopamine in the dorsal striatum and methylphenidate amplifies this effect. Synapse 44: 175–180.

Source: PubMed

3
Předplatit