Summary Neuroimaging is becoming increasingly common in obesity research as investigators try to understand the neurological underpinnings of appetite and body weight in humans. Positron emission tomography (PET), functional magnetic resonance imaging (fMRI) and magnetic resonance imaging (MRI) studies examining responses to food intake and food cues, dopamine function and brain volume in lean vs. obese individuals are now beginning to coalesce in identifying irregularities in a range of regions implicated in reward (e.g. striatum, orbitofrontal cortex, insula), emotion and memory (e.g. amygdala, hippocampus), homeostatic regulation of intake (e.g. hypothalamus), sensory and motor processing (e.g. insula, precentral gyrus), and cognitive control and attention (e.g. prefrontal cortex, cingulate). Studies of weight change in children and adolescents, and those at high genetic risk for obesity, promise to illuminate causal processes. Studies examining specific eating behaviours (e.g. external eating, emotional eating, dietary restraint) are teaching us about the distinct neural networks that drive components of appetite, and contribute to the phenotype of body weight. Finally, innovative investigations of appetite-related hormones, including studies of abnormalities (e.g. leptin deficiency) and interventions (e.g. leptin replacement, bariatric surgery), are shedding light on the interactive relationship between gut and brain. The dynamic distributed vulnerability model of eating behaviour in obesity that we propose has scientific and practical implications.

Objective Eating behavior traits measured in early life predict eating behavior and weight trajectories later in development, and may be associated with certain parental feeding behaviors. Our goal was to investigate the relationship between a range of feeding behaviors, and preschoolers’ appetitive traits. Method Four hundred thirty-nine parents of UK 3–5 year olds completed scales measuring authoritarian vs. authoritative forms of limiting (Restriction vs. Monitoring) and promoting (Pressuring vs. Prompting) intake, as well as Emotional and Instrumental Feeding. Parents also completed scales measuring child Food responsiveness and Satiety responsiveness. Child BMI z-scores were calculated based on measured heights and weights. Results Parental Restriction was significantly associated with greater child Food responsiveness (p <.001), but parental Monitoring was not. Parental Pressuring was significantly associated with greater child Satiety responsiveness (p <.001), while parental Prompting was not. Parental Instrumental and Emotional feeding were both associated with greater child Food responsiveness (p <.001). All relationships were independent of child BMI z-score. Discussion Prospective data are needed to determine whether the parent–child feeding relationships identified here promote, or protect against, the development of eating pathology in children. However, our results suggest that cross-sectional associations depend on the style (e.g., authoritarian vs. authoritative), as well as the type of feeding behavior measured.

We come into the world with enduring predispositions towards food, which interact with environmental factors to influence our eating behaviors and weight trajectories. But our fates are not sealed – by learning more about this process we can identify ways to intervene. To advance this goal this we need to be able to assess appetitive traits such as food cue responsiveness and satiety sensitivity at different developmental stages. Assessment methods might include behavioral measures (e.g. eating behavior tests, psychometric questionnaires), but also biomarkers such as brain responses to food cues measured using fMRI. Evidence from infants, children and adolescents suggests that these indices of appetite differ not only with body weight, but also with familial obesity risk as assessed by parent weight, which reflects both genetic and environmental influences, and may provide a useful predictor of obesity development. Behavioral and neural approaches have great potential to inform each other: examining eating behavior can help us identify meaningful appetitive endophenotypes whose neural bases can be probed, while increasing knowledge of the shared neurobiology underlying appetite, obesity, and related behaviors and disorders may ultimately lead to innovative generalized interventions. Another challenge will be to combine comprehensive behavioral and neural assessments of appetitive traits with measures of relevant genetic and environmental factors within long-term prospective studies. This approach may help to identify the biobehavioral precursors of obesity, and lay the foundations for targeted neurobehavioral interventions that can interrupt the pathway to excess weight.

Studies were reviewed under the categories of anorexia nervosa, bulimia nervosa, and mixed or miscellaneous samples, with more studies falling into the last category than in the first two. Recent findings have continued to show that weight suppression is related to a wide variety of biological and behavioral features in both diagnosed and sub-clinical samples. Weight suppression promotes weight gain which is anathema to individuals with eating disorders, putting them in a biobehavioral bind that appears to prolong their disorder. Priorities for future research are to understand the mechanisms underlying the effects of weight suppression, evaluate new ways of defining weight suppression, and study its implications for modifying treatment.

Attention-deficit/hyperactivity disorder (ADHD) and conditions involving excessive eating (e.g. obesity, binge / loss of control eating) are increasingly prevalent within pediatric populations, and correlational and some longitudinal studies have suggested inter-relationships between these disorders. In addition, a number of common neural correlates are emerging across conditions, e.g. functional abnormalities within circuits subserving reward processing and executive functioning. To explore this potential cross-condition overlap in neurobehavioral underpinnings, we selectively review relevant functional neuroimaging literature, specifically focusing on studies probing i) reward processing, ii) response inhibition, and iii) emotional processing and regulation, and outline three specific shared neurobehavioral circuits. Based on our review, we also identify gaps within the literature that would benefit from further research.

Obese individuals show altered neural responses to high-calorie food cues. Individuals with binge eating [BE], who exhibit heightened impulsivity and emotionality, may show a related but distinct pattern of irregular neural responses. However, few neuroimaging studies have compared BE and non-BE groups. To examine neural responses to food cues in BE, 10 women with BE and 10 women without BE (non-BE) who were matched for obesity (5 obese and 5 lean in each group) underwent fMRI scanning during presentation of visual (picture) and auditory (spoken word) cues representing high energy density (ED) foods, low-ED foods, and non-foods. We then compared regional brain activation in BE vs. non-BE groups for high-ED vs. low-ED foods. To explore differences in functional connectivity, we also compared psychophysiologic interactions [PPI] with dorsal anterior cingulate cortex [dACC] for BE vs. non-BE groups. Region of interest (ROI) analyses revealed that the BE group showed more activation than the non-BE group in the dACC, with no activation differences in the striatum or OFC. Exploratory PPI analyses revealed a trend towards greater functional connectivity with dACC in the insula, cerebellum, and supramarginal gyrus in the BE vs. non-BE group. Our results suggest that women with BE show hyper-responsivity in the dACC as well as increased coupling with other brain regions when presented with high-ED cues. These differences are independent of body weight, and appear to be associated with the BE phenotype.

Objective The obesogenic environment is pervasive, yet only some people become obese. We aimed to investigate whether obese individuals show differential neural responses to visual and auditory food cues, independent of cue modality. Design and Methods Obese (BMI 29;-41, n=10) and lean (BMI 20-24, n=10) females underwent fMRI scanning during presentation of auditory (spoken word) and visual (photograph) cues representing high energy-density [ED] and low-ED foods. We examined the effect of obesity on whole brain activation, and on functional connectivity with the midbrain/VTA. Results Obese compared with lean women showed greater modality-independent activation of the midbrain/VTA and putamen in response to high-ED (vs. low-ED) cues, as well as relatively greater functional connectivity between the midbrain/VTA and cerebellum (p<0.05 corrected). Conclusions Heightened modality-independent responses to food cues within the midbrain/VTA and putamen, and altered functional connectivity between the midbrain/VTA and cerebellum, could contribute to excessive food intake in obese individuals.

Background Rates of adolescent obesity and overweight are high. The offspring of overweight parents are at increased risk of becoming obese later in life. Investigating neural correlates of familial obesity risk and current overweight status in adolescence could help identify biomarkers that predict future obesity and that may serve as novel targets for obesity interventions. Objective Our primary aim was to use functional MRI to compare neural responses to words denoting high or low energy density (ED) foods and non-foods, in currently lean adolescents at higher compared with lower familial risk for obesity, and in overweight compared with lean adolescents. Secondary aims were to assess group differences in subjective appetite when viewing food and non-food words, and in objective ad libitum intake of high-ED foods in a laboratory setting. Design We recruited 36 adolescents (14–19y), of whom 10 were overweight, 16 lean with obese/overweight mothers (lean high-risk, “lean-HR”), and 10 lean with lean mothers (lean low-risk, “lean-LR”). All underwent fMRI scanning while they viewed words representing either high-ED foods, low-ED foods, or non-foods, and while they provided appetitive ratings in response to each word stimulus. They then consumed a multi-item ad libitum buffet meal. Results Food compared with non-food words activated a distributed emotion/reward system including insula and pregenual anterior cingulate cortex (ACC). Participants who were at increasing risk for obesity exhibited progressively weaker activation of an attentional/regulatory system including dorsolateral PFC, dorsal ACC, and basal ganglia nuclei (activation was greatest in lean-LR, intermediate in lean-HR, and weakest in the overweight group). These group differences were most apparent for neural responses to high- compared with low-ED foods. Lean-HR (compared with lean-LR and overweight) adolescents reported greater desire for high-ED foods. Meal intake was greatest for the overweight, then lean-HR, then lean-LR groups. Conclusions Adolescents at higher obesity risk exhibited reduced neural responses to high-ED food cues in a neural system that prototypically subserves attention and self-regulation. They also reported heightened appetitive responses to high-ED cues. Future interventions that promote the capacity for self-regulation could prevent youth who have a familial predisposition for obesity from translating risk into reality.