The impact of sleep deprivation on food desire in the human brain

Stephanie M Greer, Andrea N Goldstein, Matthew P Walker, Stephanie M Greer, Andrea N Goldstein, Matthew P Walker

Abstract

Epidemiological evidence supports a link between sleep loss and obesity. However, the detrimental impact of sleep deprivation on central brain mechanisms governing appetitive food desire remains unknown. Here we report that sleep deprivation significantly decreases activity in appetitive evaluation regions within the human frontal cortex and insular cortex during food desirability choices, combined with a converse amplification of activity within the amygdala. Moreover, this bi-directional change in the profile of brain activity is further associated with a significant increase in the desire for weight-gain promoting high-calorie foods following sleep deprivation, the extent of which is predicted by the subjective severity of sleep loss across participants. These findings provide an explanatory brain mechanism by which insufficient sleep may lead to the development/maintenance of obesity through diminished activity in higher-order cortical evaluation regions, combined with excess subcortical limbic responsivity, resulting in the selection of foods most capable of triggering weight-gain.

Figures

Fig. 1. Neural consequences of sleep deprivation…
Fig. 1. Neural consequences of sleep deprivation on food desirability
Sleep deprivation lead to marked decreases in the anterior cingulate, left lateral orbital frontal cortex and anterior insula reactivity to food desirability (A). In addition, sleep deprivation lead to a significant increase in amygdala reactivity to food desirability but no significant difference in ventral striatum reactivity (B). All parameter estimates are from a GLM with a parametric contrast of individual “want” ratings from twenty-three participants. Whole brain analysis (above) thresholded at p<0.005 for display purposes for sleep deprivation increases (B) and decreases (A). Region of interest analysis (below) are mean parameter estimates with standard errors of the mean extracted from 5mm spheres centered at foci taken form previous literature (See methods; circles indicate general areas of interest not specific foci; * indicates p<0.05 uncorrected for paired t-tests across 23 participants and ** indicates p<0.05 with Bonferroni correction for five regions of interest). For completeness, and since this is the first study to our knowledge to assess neural responses to food desire after sleep loss, Table 2 reports whole brain activation differences between sleep rested and deprived conditions (p<0.001 uncorrected using voxel-wise paired t-tests). Error bars are s.d.
Fig. 2. Self reported hunger levels
Fig. 2. Self reported hunger levels
Collected using a visual analog scale with a 10cm line, y-axis is in millimeters. There were no significant differences between sleep rested and sleep deprived sessions either at arrival or before the scan session. However, hunger levels were significantly greater before the scan compared to arrival in both groups (p

Fig. 3. Behavioral consequences of sleep deprivation…

Fig. 3. Behavioral consequences of sleep deprivation on food desirability

Behavioral responses (taken from in-scan…

Fig. 3. Behavioral consequences of sleep deprivation on food desirability
Behavioral responses (taken from in-scan ratings) are shown for the percentage of wanted high and low calorie items respectively (A) and the degree to which individual differences in sleepiness (after sleep deprivation) predict high-calorie choices (B). High/low calorie items are based on median split on Calories per serving; wanted items were collapsed across “somewhat” and “strongly” wanted ratings (* indicates p<0.05; paired t-test across 23 participants). Error bars are s.d.

Fig. 4. Food desire task trial structure

Fig. 4. Food desire task trial structure

Participants saw and rated 80 food items on…

Fig. 4. Food desire task trial structure
Participants saw and rated 80 food items on a scale from 1–4 according to how much they wanted the food item at that moment under sleep rested and sleep deprived conditions.
Fig. 3. Behavioral consequences of sleep deprivation…
Fig. 3. Behavioral consequences of sleep deprivation on food desirability
Behavioral responses (taken from in-scan ratings) are shown for the percentage of wanted high and low calorie items respectively (A) and the degree to which individual differences in sleepiness (after sleep deprivation) predict high-calorie choices (B). High/low calorie items are based on median split on Calories per serving; wanted items were collapsed across “somewhat” and “strongly” wanted ratings (* indicates p<0.05; paired t-test across 23 participants). Error bars are s.d.
Fig. 4. Food desire task trial structure
Fig. 4. Food desire task trial structure
Participants saw and rated 80 food items on a scale from 1–4 according to how much they wanted the food item at that moment under sleep rested and sleep deprived conditions.

References

    1. Cappuccio FP, et al. Meta-analysis of short sleep duration and obesity in children and adults. Sleep. 2008;31:619–626.
    1. Hanlon EC, Van Cauter E. Quantification of sleep behavior and of its impact on the cross-talk between the brain and peripheral metabolism. Proc Natl Acad Sci U S A. 2011;108(Suppl 3):15609–15616.
    1. Brondel L, Romer MA, Nougues PM, Touyarou P, Davenne D. Acute partial sleep deprivation increases food intake in healthy men. Am J Clin Nutr. 2010;91:1550–1559.
    1. Tang DW, Fellows LK, Small DM, Dagher A. Food and drug cues activate similar brain regions: a meta-analysis of functional MRI studies. Physiol Behav. 2012;106:317–324.
    1. Small DM, Prescott J. Odor/taste integration and the perception of flavor. Exp Brain Res. 2005;166:345–357.
    1. Hollmann M, et al. Neural correlates of the volitional regulation of the desire for food. Int J Obes (Lond) 2012;36:648–655.
    1. Muzur A, Pace-Schott EF, Hobson JA. The prefrontal cortex in sleep. Trends Cogn Sci. 2002;6:475–481.
    1. 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.
    1. Lawrence NS, Hinton EC, Parkinson JA, Lawrence AD. Nucleus accumbens response to food cues predicts subsequent snack consumption in women and increased body mass index in those with reduced self-control. Neuroimage. 2012;63:415–422.
    1. Wang GJ, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obesity (Silver Spring) 2011;19:1601–1608.
    1. Demos KE, Heatherton TF, Kelley WM. Individual differences in nucleus accumbens activity to food and sexual images predict weight gain and sexual behavior. J Neurosci. 2012;32:5549–5552.
    1. Venkatraman V, Chuah YM, Huettel SA, Chee MW. Sleep deprivation elevates expectation of gains and attenuates response to losses following risky decisions. Sleep. 2007;30:603–609.
    1. Yoo SS, Gujar N, Hu P, Jolesz FA, Walker MP. The human emotional brain without sleep--a prefrontal amygdala disconnect. Curr Biol. 2007;17:R877–R878.
    1. Hoddes E, Zarcone V, Smythe H, Phillips R, Dement WC. Quantification of sleepiness: a new approach. Psychophysiology. 1973;10:431–436.
    1. Nedeltcheva AV, et al. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009;89:126–133.
    1. Botvinick MM. Conflict monitoring and decision making: reconciling two perspectives on anterior cingulate function. Cogn Affect Behav Neurosci. 2007;7:356–366.
    1. Critchley HD, et al. Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence. Brain. 2003;126:2139–2152.
    1. Stuss DT. Functions of the frontal lobes: relation to executive functions. J Int Neuropsychol Soc. 2011;17:759–765.
    1. Craig AD. Interoception: the sense of the physiological condition of the body. Curr Opin Neurobiol. 2003;13:500–505.
    1. Zald DH. The human amygdala and the emotional evaluation of sensory stimuli. Brain Res Brain Res Rev. 2003;41:88–123.
    1. Schmid SM, et al. Short-term sleep loss decreases physical activity under free-living conditions but does not increase food intake under time-deprived laboratory conditions in healthy men. Am J Clin Nutr. 2009;90:1476–1482.
    1. Markwald RR, et al. Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain. Proc Natl Acad Sci U S A. 2013;110:5695–5700.
    1. Spiegel K, Tasali E, Penev P, Van Cauter E. Brief communication: Sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141:846–850.
    1. Jung CM, et al. Energy expenditure during sleep, sleep deprivation and sleep following sleep deprivation in adult humans. J Physiol. 2011;589:235–244.
    1. Penev PD. Update on energy homeostasis and insufficient sleep. J Clin Endocrinol Metab. 2012;97:1792–1801.
    1. Knutson KL, Spiegel K, Penev P, Van Cauter E. The metabolic consequences of sleep deprivation. Sleep Med Rev. 2007;11:163–178.
    1. Romeijn N, et al. Cold hands, warm feet: sleep deprivation disrupts thermoregulation and its association with vigilance. Sleep. 2012;35:1673–1683.
    1. Van Cauter E, et al. Impact of sleep and sleep loss on neuroendocrine and metabolic function. Horm Res. 2007;67(Suppl 1):2–9.
    1. Saper CB. Staying awake for dinner: hypothalamic integration of sleep, feeding, and circadian rhythms. Prog Brain Res. 2006;153:243–252.
    1. Baron KG, Reid KJ, Kern AS, Zee PC. Role of sleep timing in caloric intake and BMI. Obesity (Silver Spring) 2011;19:1374–1381.
    1. Wilson MM, Morley JE. Invited review: Aging and energy balance. J Appl Physiol. 2003;95:1728–1736.
    1. Wang GJ, Volkow ND, Thanos PK, Fowler JS. Imaging of brain dopamine pathways: implications for understanding obesity. J Addict Med. 2009;3:8–18.
    1. Klem GH, Luders HO, Jasper HH, Elger C. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. Electroencephalogr Clin Neurophysiol Suppl. 1999;52:3–6.
    1. Rechtschaffen A, Kales A. Los Angeles, CA: US Govenment Pringing Office, US Public Health Service; 1968.
    1. Siep N, et al. Hunger is the best spice: an fMRI study of the effects of attention, hunger and calorie content on food reward processing in the amygdala and orbitofrontal cortex. Behav Brain Res. 2009;198:149–158.
    1. Hare TA, Camerer CF, Rangel A. Self-control in decision-making involves modulation of the vmPFC valuation system. Science. 2009;324:646–648.
    1. Poldrack RA. Region of interest analysis for fMRI. Soc Cogn Affect Neurosci. 2007;2:67–70.
    1. Poldrack RA, Mumford JA. Independence in ROI analysis: where is the voodoo? Soc Cogn Affect Neurosci. 2009;4:208–213.
    1. Knutson B, Wimmer GE, Kuhnen CM, Winkielman P. Nucleus accumbens activation mediates the influence of reward cues on financial risk taking. Neuroreport. 2008;19:509–513.
    1. Small DM, et al. Dissociation of neural representation of intensity and affective valuation in human gustation. Neuron. 2003;39:701–711.
    1. Beaver JD, et al. Individual differences in reward drive predict neural responses to images of food. J Neurosci. 2006;26:5160–5166.
    1. Small DM, et al. Human cortical gustatory areas: a review of functional neuroimaging data. Neuroreport. 1999;10:7–14.

Source: PubMed

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