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

AbstractEpidemiological 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.IntroductionMounting epidemiological data implicate sleep loss as a risk factor for obesity in both children and adults worldwide1. Moreover, sleep deprivation alters appetite regulating hormones and increases caloric intake2,3. Given the continued decline in sleep duration in industrialized nations, mirrored by the steep rise in obesity in these same populations1, understanding the association between sleep loss and weight gain has become of paramount concern for global public health.Despite such population level as well as peripheral body evidence, the central brain mechanisms explaining the impact of sleep deprivation on appetitive food desire that can lead to weight gain remain unknown. Discovering such neural dysfunction may represent a critical component to understanding the link between sleep loss and obesity2. It would further contribute to a central nervous system explanation for the failure to appropriately regulate dietary intake and thus develop or maintain obesity under conditions of insufficient sleep. Using a food desire task in combination with human functional MRI (fMRI), here we sought to characterize the impact of sleep loss on the brain mechanisms governing appetitive food desire.The study focused a priori on a discreet set of well characterized cortical and subcortical regions of interest (ROIs) known to be instrumental in appetitive desire and food stimulus evaluation4. At the cortical level, the anterior insular cortex, lateral orbital frontal cortex and anterior cingulate cortex, all have well established roles in signalling stimulus value across contexts, including appetitive choices, and in integrating food features that govern preferences (for example, the odour and flavour of food)5,6. Moreover, disrupted functional activity within frontal cortex, including these anterior cortical regions, is widely considered to be one hallmark of sleep loss7. At the subcortical level, both the amygdala and the ventral striatum have been strongly implicated in governing the motivation to eat4. The amygdala has consistently demonstrated responsivity to food stimuli, especially when the salience of food stimuli is high8. Activity in the ventral striatum in response to foods accurately predicts immediate food intake9, binge eating10 as well as real world weight gain11. Moreover, previous work has demonstrated that activity in the amygdala and striatum in other (non appetitive) affective tasks is elevated following sleep loss12,13.Building on this established literature, the current study sought to test two non mutually exclusive hypotheses regarding the central brain mechanisms that may lead to weight promoting food choices following sleep loss. One hypothesis is that failure to recruit cortical regions necessary for optimal evaluation of food stimuli (the anterior cingulate, the lateral orbitofrontal cortex and the anterior insula) leads to improper food choice selection (that is, choosing items with greater weight gain potential). A second hypothesis is that excessive reactivity in two subcortical regions known to signal food salience and promote eating behaviour (the amygdala and the ventral striatum) may exaggerate food salience and motivated consumption for appetitive food stimuli, also leading to weight gain potential. The findings reported here demonstrate not only reduced recruitment of all three key cortical regions necessary for food stimulus evaluation but also amplified subcortical amygdala (yet not ventral striatal) reactivity under sleep deprivation. Such changes offer a novel explanatory brain mechanism by which insufficient sleep may lead to altered food choices and thus imitation van cleef and arpels pendant the development or maintenance of obesity.ResultsNeural responses to food desire under sleep deprivationCompared to the sleep rested state, sleep deprivation significantly diminished activity in all three cortical ROIs the anterior cingulate cortex (T=3.87; P=0.0008), lateral orbital frontal cortex (T=2.08; P=0.0491) and anterior insular cortex (T=2.63; P=0.0154) as food desire progressively increased (Fig. 1a). This was further confirmed by t tests of van cleef pendant necklace replica averaged parameter estimate activity extracted from 5 mm spheres placed around these literature based ROIs (see Methods). Note that the significance threshold is PT=3.08; P=0.0055), compared with the sleep rested state (Fig. 1b). In contrast, this profile of amplified subcortical reactivity was not observed in ventral striatum (T=0.28; P=0.7852), showing no significant difference between the sleep deprivation and rested conditions. Of note, the amygdala also survives correction for five comparisons if these regions are taken as a family of independent tests. Additionally, complimenting the average activity analysis approach, described above, all ROIs of significance also demonstrated clusters of activity that survived familywise error rate correction for multiple comparisons within these small volumes (PTable 1). For completeness, and as this is the first study to our knowledge to assess neural responses to food desire after sleep loss, Table 2 reports exploratory whole brain activation differences between sleep rested and deprived conditions (Pt tests). In summary, sleep deprivation diminished activity in an established set of cortical appetitive evaluation regions as food desire progressively increased, yet triggered a converse amplification in subcortical amygdala reactivity known to signal food salience in the context of appetitive choice8. Importantly, self reported hunger levels were no different between the sleep rested and sleep deprived conditions (P=0.28; see Fig. 2), indicating that differences in brain activity could not be explained on the basis of hunger differences alone. In addition, sleep deprivation resulted in 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 23 participants. Whole brain analysis (above) are thresholded at PPt tests across 23 participants and PTable 2 reports whole brain activation differences between sleep rested and deprived conditions beyond our a priori ROIs (Pt tests). Hunger levels were significantly greater before the scan compared with study arrival (the evening before) in both groups (Pt tests across 23 participants).Behavioural changes in food desire under sleep deprivationComplimenting these changes in brain responsivity, we further examined whether sleep deprivation triggered an increase in desirability for food items carrying the greatest weight gain promoting potential; that is, high calorie food items. Relative to the sleep rested state, sleep deprivation resulted in a significant increase in the proportion of 'wanted' food items of high caloric content (T=2.21, P=0.04). In contrast, no corresponding differences between the sleep rested and sleep deprived states were observed for low calorie items (T=1.15, P=0.26; Fig. 3a). Calorie average increase. Additionally, the level of caloric content across food items significantly predicted the extent to which desirability ratings increased after sleep deprivation, such that the highest calorie foods accrued the largest increase in desirability ratings following sleep deprivation (Spearman's r=0.23, P=0.04). Further implicating an association with insufficient sleep, increasing perceived severity of sleep deprivation across individuals, indexed by self reported subjective sleepiness14, was positively and significantly correlated with the percentage of wanted high calorie foods in the sleep deprived state (Fig. 3b), and this correlation remained significant when controlling for body mass index (BMI) using linear regression (T=3.41, P=0.003). Confirming the specificity of this finding to the state of sleep deprivation, no such association between subjective sleepiness and percentage of wanted high calorie foods was observed in the sleep rested state (r=0.19; P=0.39). Additionally, BMI was not correlated with the percentage of high calorie choices in either the sleep rested or sleep deprived condition (r=0.23, P=0.30, and r=0.05, P=0.80, respectively), consistent with previous studies examining calories from snacks rather than meals15. Therefore, paralleling the observed change in the neural reactivity, sleep deprivation induced a concomitant behavioural profile of increased desire for weight gain promoting (high calorie) food choices, with inter individual differences in the magnitude of such a change in food choice behaviour being accounted for by the severity of perceived subjective sleepiness. High/low calorie items are based on the median split of calories per serving; wanted items were collapsed across 'somewhat' and 'strongly' wanted ratings (Pt test across 23 participants).DiscussionTaken together, these findings establish a disrupting impact of sleep deprivation that blunts activity in established appetitive evaluation regions5 within the human frontal and insular cortex during food desirability choices, yet a converse subcortical amplification of reactivity within the amygdala, known to code salience in the context of food decisions8. Furthermore, these neural changes were associated with a significant increase in appetitive desire for weight gain promoting (high calorie) food items following sleep loss, the magnitude of which was proportional to the subjective severity of sleep loss across participants. In addition, these changes occurred despite participants consuming more calories during the sleep deprivation session (provided in a controlled manner in order to offset any increased energy expenditure). Moreover, participants' self reported hunger levels were not different in the sleep rested and sleep deprivation session, suggesting that the condition of sleep loss, rather than metabolic need or hunger, acts as a primary factor influencing the observed changes.The characterization of these neural and behavioural changes following sleep loss may provide several explanatory insights into a central nervous system (brain) mechanism by which insufficient sleep leads to the development/maintenance of obesity.First, these data describe a profile of bi directional change in responsivity in appetitive relevant brain regions following sleep deprivation. All three cortical ROIs demonstrated activity reductions following sleep loss in response to increasing food desire, while one of the two subcortical target ROIs the amygdala, associated with salience signaling of food items expressed significant increases in response to food desirability. Interestingly, no significant differences in reactivity were observed in the classical reward region of the ventral striatum following sleep loss. It is important to note that although these brain areas do have specific and recognized functional roles in the context of appetitive food stimulus evaluation and choice, as we examined using the current task, these regions are not limited to performing such functions. For example, the anterior cingulate has been associated with conflict monitoring16 as well as autonomic (especially cardiovascular) regulation17; the orbital frontal cortex has been associated with inhibitory control18; the anterior insula has been associated with interoception19 and the amygdala has been associated with fear and arousal processing20. Although our interpretation of the impact of sleep loss on these regions is made within the context of appetitive food evaluation and choice, due to the nature of the task, they may nevertheless extend beyond appetitive processes, and include alterations in other functions such as those described above.Second, this collection of brain changes may not only help account for recognized shifts in dietary intake and altered food choices following insufficient sleep3 but further reconcile potentially dissonant previous findings. Prior reports have demonstrated that sleep restriction leads to increased caloric intake following sleep loss under non laboratory or 'free living' conditions (where food selection was not fixed)3, fitting with impoverished mechanisms of appetitive evaluation and choice regulated by the frontal lobe as well as heightened salience signaling within the amygdala. However, such altered food choices following sleep loss can also occur without any significant change in the ratings of the hedonic qualities of food pleasantness or food desire when smelling foods directly3, consistent with our observations of unaltered responding in this reward related region of ventral striatum. Furthermore, such a neural dissociation may additionally explain why some studies have failed to observe increases in caloric intake under sleep restriction when food choices are limited to small selection arrays and eating opportunities are fixed15,21, as increases in knock off van cleef and arpels alhambra pendant the motivated drive to eat in the absence of food choices has been primarily associated with activity in the ventral striatum (independent of the effects of sleep loss)9. Therefore, one plausible interpretation emerging from our data is that impoverished recruitment of cortical regions involved in appetitive choice selection following sleep loss, combined with enhanced responsivity from the amygdala, may result in improper valuation of food stimulus features, shifting behavioural choice selection to high calorie desirable items driven more so by salience, when food is available. The current neural observations would therefore predict that if a range of freely attainable food choices and eating opportunities are offered (as is ecologically the case in the majority of real world situations), then the effect of sleep deprivation would lead to a significant increase in food consumption choices considered non optimal in the context of obesity (that is, high calorie items).Third, and congruent with these predictions, these changes in neural reactivity to food desirability under sleep deprivation were additionally accompanied by a significant shift in preferences for food items carrying the highest caloric content. While a shift in food desire ratings was observed following sleep deprivation, the controlled eating schedule of the study precluded the ability to measure actual changes in caloric intake under ad libitum (rather than controlled) food availability. Interestingly, this alteration in food desire, coinciding with changes in brain activity, is consistent with previous behavioural findings describing increases in actual caloric intake following sleep loss when ad libitum food conditions are presented3,22 and increased cravings for higher caloric food categories (for example, sweet, salty and starchy foods)23. Given the established increase in energy needs induced by sleep deprivation22,24,25, the shift towards increased caloric intake and high calorie choice preferences identified in the current experiment, supports an adaptive homoeostatic function to recover such energy expended. However, a recent study that assessed ad libitum caloric intake as well as energy expenditure in sleep restricted humans reported increased calorie consumption beyond that which could be explained by expended energy or altered metabolic rate22. Moreover, this increase in calorie intake resulted in significant gains in weight. This finding leads to the hypothesis that changes in central nervous system disruption due to sleep loss, such as the alterations in appetitive brain signaling discovered in the current study, may trigger decisions that lead to increased calorie consumption in excess of energy expenditure changes, one consequence of which is weight gain. Consistent with this proposal, we additionally demonstrated that the magnitude of change (increase) in desire for high calorie foods was positively correlated with the perceived subjective severity of sleep deprivation across participants (indexed in the measure of sleepiness). These neural and behavioral data provide indirect support linking the state of sleep deprivation, and the subjective severity of this state, to altered internal homoeostasis following extended time awake, consistent with already established alterations in other primal homeostatic functions such as metabolic balance and temperature regulation following sleep loss26,27. This may reflect a progressive deterioration in the brain and body systems that regulate and maintain optimal energy balance, one expression of which is select cortical and subcortical dysfunction leading to increases in energy consumption through heightened desire for high calorie foods.Finally, and related to such whole organism considerations, elegant work has characterized peripheral body changes in appetite and metabolism regulating hormones following sleep loss that can lead to weight gain2,26,28. Our findings help establish a pattern of central nervous system dysfunction that stands alongside these peripheral body changes following sleep deprivation that, together, may converge on a common impact of sleep loss on weight gain potential. An important next step will be to examine whether these peripheral and central nervous system pathways of sleep loss dependent dysfunction actively interact, thus providing the first whole organism mechanistic account underlying a relationship between sleep loss and obesity.Beyond the implications stated above, it is important to note that the current findings should be considered in the context of several limitations. First, this study used a carefully controlled feeding schedule that was standardized across participants, which did not allow us to assess actual changes in calories consumed due to sleep deprivation (although, refer to the studies by Brondel et al.3 and Markwald et al.22) or to assess the relationship between neural responses and behavioural shifts in actual calories consumed. Furthermore, due to this limitation, it will be important for future studies to assess whether access to ad libitum high calorie food would normalize the observed brain responses under sleep deprivation potentially due to reduced motivational demands for high calorie items after consumption. Second, all scan sessions for this study took place during the morning. As both appetite and sleep patterns are significantly influenced by circadian phase29, future studies will be needed to examine the interactions of measurements at different circadian phases. Indeed, recent behavioural studies indicate that the largest impact of sleep loss on altered food choices occurs during the evening22,30, leading to the prediction that changes observed in the current study would be further exaggerated when repeated later in the day. BMI). An important future challenge will be to examine whether similar alterations caused by sleep deprivation are expressed across a broader age and body mass

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