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Ha OR, Lim SL. The role of emotion in eating behavior and decisions. Front Psychol 2023; 14:1265074. [PMID: 38130967 PMCID: PMC10733500 DOI: 10.3389/fpsyg.2023.1265074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
The present paper aims to provide the latest perspectives and future directions on the association between emotions and eating behavior. We discussed individual differences in the impact of negative emotions on eating, emotional eating as disinhibited eating decisions with heightened reward values of and sensitivity to palatable foods in response to negative emotions and social isolation, in addition to emotional eating as maladaptive coping strategies under negative emotion and stress, hedonic (pleasure-oriented) eating decisions mediated by the brain reward system, and self-controlled (health-oriented) eating decisions mediated by the brain control system. Perspectives on future directions were addressed, including the development of early eating phenotypes in infancy, shared neural mechanisms mediated by the ventromedial prefrontal cortex and the dorsolateral prefrontal cortex in emotion and eating decision regulation, possible roles of interoception incorporating hunger and satiety signals, gut microbiome, the insula and the orbitofrontal cortex, and emotional processing capacities in hedonic eating and weight gain.
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Affiliation(s)
| | - Seung-Lark Lim
- Department of Psychology, University of Missouri – Kansas City, Kansas City, MO, United States
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2
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Carnell S, Thapaliya G, Jansen E, Chen L. Biobehavioral susceptibility for obesity in childhood: Behavioral, genetic and neuroimaging studies of appetite. Physiol Behav 2023; 271:114313. [PMID: 37544571 PMCID: PMC10591980 DOI: 10.1016/j.physbeh.2023.114313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 06/06/2023] [Accepted: 07/31/2023] [Indexed: 08/08/2023]
Abstract
Modern food environments are conducive to overeating and weight gain, but not everyone develops obesity. One reason for this may be that individuals differ in appetitive characteristics, or traits, that manifest early in life and go on to influence their behavioral susceptibility to gain and maintain excess weight. Classic studies showing that eating behavior in children can be measured by behavioral paradigms such as tests of caloric compensation and eating in the absence of hunger inspired the development and validation of psychometric instruments to assess appetitive characteristics in children and infants. A large body of evidence now suggests that food approach traits increase obesity risk, while food avoidant traits, such as satiety responsiveness, decrease obesity risk. Twin studies and genetic association studies have demonstrated that appetitive characteristics are heritable, consistent with a biological etiology. However, family environment factors are also influential, with mounting evidence suggesting that genetic and environmental risk factors interact and correlate with consequences for child eating behavior and weight. Further, neuroimaging studies are revealing that individual differences in responses to visual food cues, as well as to small tastes and larger amounts of food, across a number of brain regions involved in reward/motivation, cognitive control and other functions, may contribute to individual variation in appetitive behavior. Growing evidence also suggests that variation on psychometric measures of appetite is associated with regional differences in brain structure, and differential patterns of resting state functional connectivity. Large prospective studies beginning in infancy promise to enrich our understanding of neural and other biological underpinnings of appetite and obesity development in early life, and how the interplay between genetic and environmental factors affects appetitive systems. The biobehavioral susceptibility model of obesity development and maintenance outlined in this narrative review has implications for prevention and treatment of obesity in childhood.
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Affiliation(s)
- Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA.
| | - Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Elena Jansen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
| | - Liuyi Chen
- Division of Psychiatric Neuroimaging, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA
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Sadler JR, Thapaliya G, Ranganath K, Gabay A, Chen L, Smith KR, Osorio RS, Convit A, Carnell S. Paediatric obesity and metabolic syndrome associations with cognition and the brain in youth: Current evidence and future directions. Pediatr Obes 2023; 18:e13042. [PMID: 37202148 PMCID: PMC10826337 DOI: 10.1111/ijpo.13042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 05/20/2023]
Abstract
Obesity and components of the metabolic syndrome (MetS) are associated with differences in brain structure and function and in general and food-related cognition in adults. Here, we review evidence for similar phenomena in children and adolescents, with a focus on the implications of extant research for possible underlying mechanisms and potential interventions for obesity and MetS in youth. Current evidence is limited by a relative reliance on small cross-sectional studies. However, we find that youth with obesity and MetS or MetS components show differences in brain structure, including alterations in grey matter volume and cortical thickness across brain regions subserving reward, cognitive control and other functions, as well as in white matter integrity and volume. Children with obesity and MetS components also show some evidence for hyperresponsivity of food reward regions and hyporesponsivity of cognitive control circuits during food-related tasks, altered brain responses to food tastes, and altered resting-state connectivity including between cognitive control and reward processing networks. Potential mechanisms for these findings include neuroinflammation, impaired vascular reactivity, and effects of diet and obesity on myelination and dopamine function. Future observational research using longitudinal measures, improved sampling strategies and study designs, and rigorous statistical methods, promises to further illuminate dynamic relationships and causal mechanisms. Intervention studies targeted at modifiable biological and behavioural factors associated with paediatric obesity and MetS can further inform mechanisms, as well as test whether brain and behaviour can be altered for beneficial outcomes.
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Affiliation(s)
- Jennifer R. Sadler
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kushi Ranganath
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrea Gabay
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
| | - Liuyi Chen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kimberly R. Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ricardo S. Osorio
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
- Nathan Kline Institute, Orangeburg, New York, USA
| | - Antonio Convit
- Department of Psychiatry, New York University School of Medicine, New York, New York, USA
- Nathan Kline Institute, Orangeburg, New York, USA
| | - Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Godet A, Fortier A, Bannier E, Coquery N, Val-Laillet D. Interactions between emotions and eating behaviors: Main issues, neuroimaging contributions, and innovative preventive or corrective strategies. Rev Endocr Metab Disord 2022; 23:807-831. [PMID: 34984602 DOI: 10.1007/s11154-021-09700-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/29/2021] [Indexed: 12/13/2022]
Abstract
Emotional eating is commonly defined as the tendency to (over)eat in response to emotion. Insofar as it involves the (over)consumption of high-calorie palatable foods, emotional eating is a maladaptive behavior that can lead to eating disorders, and ultimately to metabolic disorders and obesity. Emotional eating is associated with eating disorder subtypes and with abnormalities in emotion processing at a behavioral level. However, not enough is known about the neural pathways involved in both emotion processing and food intake. In this review, we provide an overview of recent neuroimaging studies, highlighting the brain correlates between emotions and eating behavior that may be involved in emotional eating. Interaction between neural and neuro-endocrine pathways (HPA axis) may be involved. In addition to behavioral interventions, there is a need for a holistic approach encompassing both neural and physiological levels to prevent emotional eating. Based on recent imaging, this review indicates that more attention should be paid to prefrontal areas, the insular and orbitofrontal cortices, and reward pathways, in addition to regions that play a major role in both the cognitive control of emotions and eating behavior. Identifying these brain regions could allow for neuromodulation interventions, including neurofeedback training, which deserves further investigation.
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Affiliation(s)
- Ambre Godet
- Nutrition Metabolisms and Cancer (NuMeCan), INRAE, INSERM, Univ Rennes, St Gilles, France
| | - Alexandra Fortier
- Nutrition Metabolisms and Cancer (NuMeCan), INRAE, INSERM, Univ Rennes, St Gilles, France
| | - Elise Bannier
- CRNS, INSERM, IRISA, INRIA, Univ Rennes, Empenn Rennes, France
- Radiology Department, Rennes University Hospital, Rennes, France
| | - Nicolas Coquery
- Nutrition Metabolisms and Cancer (NuMeCan), INRAE, INSERM, Univ Rennes, St Gilles, France
| | - David Val-Laillet
- Nutrition Metabolisms and Cancer (NuMeCan), INRAE, INSERM, Univ Rennes, St Gilles, France.
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Chang RS, Cerit H, Hye T, Durham EL, Aizley H, Boukezzi S, Haimovici F, Goldstein JM, Dillon DG, Pizzagalli DA, Holsen LM. Stress-induced alterations in HPA-axis reactivity and mesolimbic reward activation in individuals with emotional eating. Appetite 2022; 168:105707. [PMID: 34562531 PMCID: PMC8671188 DOI: 10.1016/j.appet.2021.105707] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Emotional eating has emerged as a contributing factor to overeating, potentially leading to obesity or disordered eating behaviors. However, the underlying biological mechanisms related to emotional eating remain unclear. The present study examined emotional, hormonal, and neural alterations elicited by an acute laboratory stressor in individuals with and without emotional eating. METHODS Emotional (n = 13) and non-emotional eaters (n = 15) completed two main study visits, one week apart: one visit included a Stress version and the other a No-stress version of the Maastricht Acute Stress Task (MAST). Immediately pre- and post-MAST, blood was drawn for serum cortisol and participants rated their anxiety level. After the MAST, participants completed a Food Incentive Delay (FID) task during functional magnetic resonance imaging (fMRI), followed by an ad libitum snack period. RESULTS Emotional eaters exhibited elevated anxiety (p = 0.037) and cortisol (p = 0.001) in response to the Stress MAST. There were no changes in anxiety or cortisol among non-emotional eaters in response to the Stress MAST or in either group in response to the No-stress MAST. In response to the Stress MAST, emotional eaters exhibited reduced activation during anticipation of food reward in mesolimbic reward regions (caudate: p = 0.014, nucleus accumbens: p = 0.022, putamen: p = 0.013), compared to non-emotional eaters. Groups did not differ in snack consumption. CONCLUSIONS These data indicate disrupted neuroendocrine and neural responsivity to psychosocial stress amongst otherwise-healthy emotional eaters, who demonstrated hyperactive HPA-axis response coupled with hypoactivation in reward circuitry. Differential responsivity to stress may represent a risk factor in the development of maladaptive eating behaviors.
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Affiliation(s)
- Rose Seoyoung Chang
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - Hilâl Cerit
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Taryn Hye
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - E. Leighton Durham
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - Harlyn Aizley
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA
| | - Sarah Boukezzi
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Florina Haimovici
- Department of Psychiatry, Brigham and Women’s Hospital, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Jill M. Goldstein
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Department of Psychiatry, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Department of Obstetrics and Gynecology, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA
| | - Daniel G. Dillon
- Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA
| | - Diego A. Pizzagalli
- Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA,McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA
| | - Laura M. Holsen
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Department of Psychiatry, Brigham and Women’s Hospital, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Corresponding author: Laura Holsen, Ph.D., Division of Women’s Health, 1620 Tremont St., BC-3, Brigham and Women’s Hospital, Boston, MA 02120,
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Smith KE, Luo S, Mason TB. A systematic review of neural correlates of dysregulated eating associated with obesity risk in youth. Neurosci Biobehav Rev 2021; 124:245-266. [PMID: 33587960 DOI: 10.1016/j.neubiorev.2021.02.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/01/2021] [Accepted: 02/06/2021] [Indexed: 12/23/2022]
Abstract
Dysregulated eating among children and adolescents is associated with a wide range of negative mental and physical health outcomes, including obesity. However, less is known regarding underlying neural mechanisms underlying such behaviors. Therefore, the present manuscript systematically reviewed neuroimaging research examining dysregulated eating behavior linked to excess weight in children and adolescents. A systematic literature search identified 23 eligible studies, the majority of which were cross-sectional functional magnetic resonance imaging (fMRI) studies and excluded participants with psychiatric disorders. Dysregulated eating was captured by measures of eating styles and eating self-regulation, eating disorder behaviors, food addiction, objective measures of non-homeostatic eating and caloric restriction. While preliminary, findings suggested eating dysregulation was related to aberrant functioning within the frontostriatal and frontoparietal regions involved in self-regulatory processes, as well as regions involved in satiety signaling and interoception. This heterogeneous body of research is continually growing and may have potential to inform future prevention and intervention approaches. Results also identified several important limitations to consider and highlight key areas for future research.
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Affiliation(s)
- Kathryn E Smith
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
| | - Shan Luo
- Department of Psychology, University of Southern California, Los Angeles, CA, United States; Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Tyler B Mason
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
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Wu H, Adler S, Azagury DE, Bohon C, Safer DL, Barbosa DAN, Bhati MT, Williams NR, Dunn LB, Tass PA, Knutson BD, Yutsis M, Fraser A, Cunningham T, Richardson K, Skarpaas TL, Tcheng TK, Morrell MJ, Roberts LW, Malenka RC, Lock JD, Halpern CH. Brain-Responsive Neurostimulation for Loss of Control Eating: Early Feasibility Study. Neurosurgery 2020; 87:1277-1288. [PMID: 32717033 PMCID: PMC8599841 DOI: 10.1093/neuros/nyaa300] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/02/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Loss of control (LOC) is a pervasive feature of binge eating, which contributes significantly to the growing epidemic of obesity; approximately 80 million US adults are obese. Brain-responsive neurostimulation guided by the delta band was previously found to block binge-eating behavior in mice. Following novel preclinical work and a human case study demonstrating an association between the delta band and reward anticipation, the US Food and Drug Administration approved an Investigational Device Exemption for a first-in-human study. OBJECTIVE To assess feasibility, safety, and nonfutility of brain-responsive neurostimulation for LOC eating in treatment-refractory obesity. METHODS This is a single-site, early feasibility study with a randomized, single-blinded, staggered-onset design. Six subjects will undergo bilateral brain-responsive neurostimulation of the nucleus accumbens for LOC eating using the RNS® System (NeuroPace Inc). Eligible participants must have treatment-refractory obesity with body mass index ≥ 45 kg/m2. Electrophysiological signals of LOC will be characterized using real-time recording capabilities coupled with synchronized video monitoring. Effects on other eating disorder pathology, mood, neuropsychological profile, metabolic syndrome, and nutrition will also be assessed. EXPECTED OUTCOMES Safety/feasibility of brain-responsive neurostimulation of the nucleus accumbens will be examined. The primary success criterion is a decrease of ≥1 LOC eating episode/week based on a 28-d average in ≥50% of subjects after 6 mo of responsive neurostimulation. DISCUSSION This study is the first to use brain-responsive neurostimulation for obesity; this approach represents a paradigm shift for intractable mental health disorders.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Casey H Halpern
- Correspondence: Casey H. Halpern, MD, Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive (R-227), Stanford, CA 94305-5327, USA.
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8
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Laparoscopic sleeve gastrectomy improves brain connectivity in obese patients. J Neurol 2020; 267:1931-1940. [DOI: 10.1007/s00415-020-09780-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/25/2020] [Accepted: 02/27/2020] [Indexed: 12/16/2022]
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9
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Yeung AWK. Associations of Gray Matter Volume and Perceived Intensity of Bitter Taste: a Voxel-Based Morphometry Study. CHEMOSENS PERCEPT 2019. [DOI: 10.1007/s12078-019-09272-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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10
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Li G, Ji G, Hu Y, Liu L, Jin Q, Zhang W, Liu L, Wang Y, Zhao J, von Deneen KM, Chen A, Cui G, Han Y, Wang H, Zhao Q, Wu K, Wiers CE, Tomasi D, Leggio L, Volkow ND, Nie Y, Zhang Y, Wang GJ. Reduced plasma ghrelin concentrations are associated with decreased brain reactivity to food cues after laparoscopic sleeve gastrectomy. Psychoneuroendocrinology 2019; 100:229-236. [PMID: 30388597 PMCID: PMC6802281 DOI: 10.1016/j.psyneuen.2018.10.022] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 10/23/2018] [Accepted: 10/23/2018] [Indexed: 12/26/2022]
Abstract
The "hunger" hormone ghrelin regulates food-intake and preference for high-calorie (HC) food through modulation of the mesocortico-limbic dopaminergic pathway. Laparoscopic sleeve gastrectomy (LSG) is an effective bariatric surgery to treat morbid obesity. We tested the hypothesis that LSG-induced reductions in appetite and total ghrelin levels in blood are associated with reduced prefrontal brain reactivity to food cues. A functional magnetic resonance imaging (fMRI) cue-reactivity task with HC and low-calorie (LC) food pictures was used to investigate brain reactivity in 22 obese participants tested before and one month after bariatric surgery (BS). Nineteen obese controls (Ctr) without surgery were also tested at baseline and one-month later. LSG significantly decreased (1) fasting plasma concentrations of total ghrelin, leptin and insulin, (2) craving for HC food, and (3) brain activation in the right dorsolateral prefrontal cortex (DLPFC) in response to HC vs. LC food cues (PFWE < 0.05). LSG-induced reduction in DLPFC activation to food cues were positively correlated with reduction in ghrelin levels and reduction in craving ratings for food. Psychophysiological interaction (PPI) connectivity analyses showed that the right DLPFC had stronger connectivity with the ventral anterior cingulate cortex (vACC) after LSG, and changes in BMI were negatively correlated with changes in connectivity between the right DLPFC and vACC in the LSG group only. These findings suggest that LSG-induced weight-loss may be related to reductions in ghrelin, possibly leading to decreased food craving and hypothetically reducing DLPFC response to the HC food cues.
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Affiliation(s)
- Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Li Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Qingchao Jin
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Lei Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Yuanyuan Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, Ya ngling, Shaanxi, 712100, China
| | - Karen M. von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
| | - Antao Chen
- Department of Psychology, Southwest University, Chongqing 400715, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, Shaanxi 710038, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi’an, Shaanxi 710038, China
| | - Huaning Wang
- Depart of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi’an, Shaanxi 710032, China
| | - Qingchuan Zhao
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, Shaanxi, 710032, China
| | - Kaichun Wu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, Shaanxi, 710032, China
| | - Corinde E. Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Lorenzo Leggio
- Section on Clinical Psychoneuroendocrinology and Neuropsychopharmacology, National Institute on Alcohol Abuse and Alcoholism and National Institute on Drug Abuse, Bethesda, MD 20892, USA
| | - Nora D. Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, Shaanxi, 710032, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China.
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA.
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11
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English LK, Masterson TD, Fearnbach SN, Tanofsky-Kraff M, Fisher J, Wilson SJ, Rolls BJ, Keller KL. Increased brain and behavioural susceptibility to portion size in children with loss of control eating. Pediatr Obes 2019; 14:e12436. [PMID: 30019382 PMCID: PMC7086471 DOI: 10.1111/ijpo.12436] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/26/2018] [Accepted: 05/21/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Portion size influences intake (i.e. the portion size effect [PSE]), yet determinants of susceptibility to the PSE are unclear. OBJECTIVE We tested whether children who reported an episode of loss of control (LOC) eating over the last 3 months would be more susceptible to the PSE and would show differential brain responses to food cues compared with children with no-LOC. METHODS Across five sessions, children (n = 47; 7-10 years) consumed four test meals at 100%, 133%, 167% and 200% conditions for portion size and completed a functional magnetic resonance imaging scan while viewing pictures of foods varied by portion size and energy density (ED). Incidence of LOC over the past 3 months was self-reported. Random coefficient models were tested for differences in the shape of the PSE curve by LOC status. A whole-brain analysis was conducted to determine response to food cues during the functional magnetic resonance imaging. RESULTS Reported LOC (n = 13) compared with no-LOC (n = 34) was associated with increased susceptibility to the PSE, as evidenced by a positive association with the linear slope (P < 0.005), and negative association with the quadratic slope (P < 0.05) of the intake curve. Children who reported LOC compared with no-LOC showed increased activation in the left cerebellum to small relative to large portions (P < 0.01) and right cerebellum to High-ED relative to Low-ED food cues (P < 0.01). CONCLUSION Children who reported LOC were more susceptible to the PSE and showed alterations in food-cue processing in the cerebellum, a hindbrain region implicated in satiety signalling.
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Affiliation(s)
- L. K. English
- Department of Nutritional Science, The Pennsylvania State University, State College, PA, USA
| | - T. D. Masterson
- Department of Nutritional Science, The Pennsylvania State University, State College, PA, USA
| | - S. N. Fearnbach
- Brain and Metabolism Imaging in Chronic Disease, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - M. Tanofsky-Kraff
- Department of Medical and Clinical Psychology, Uniformed Services University of Health Sciences, Bethesda, MD, USA
| | - J. Fisher
- Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - S. J. Wilson
- Department of Psychology, The Pennsylvania State University, State College, PA, USA
| | - B. J. Rolls
- Department of Nutritional Science, The Pennsylvania State University, State College, PA, USA
| | - K. L. Keller
- Department of Nutritional Science, The Pennsylvania State University, State College, PA, USA,Department of Food Science, The Pennsylvania State University, State College, PA, USA
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Canna A, Prinster A, Fratello M, Puglia L, Magliulo M, Cantone E, Pirozzi MA, Di Salle F, Esposito F. A low-cost open-architecture taste delivery system for gustatory fMRI and BCI experiments. J Neurosci Methods 2019; 311:1-12. [PMID: 30308211 DOI: 10.1016/j.jneumeth.2018.10.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 09/29/2018] [Accepted: 10/05/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Tasting is a complex process involving chemosensory perception and cognitive evaluation. Different experimental designs and solution delivery approaches may in part explain the variability reported in literature. These technical aspects certainly limit the development of taste-related brain computer interface devices. NEW METHOD We propose a novel modular, scalable and low-cost device for rapid injection of small volumes of taste solutions during fMRI experiments that gathers the possibility to flexibly increase the number of channels, allowing complex multi-dimensional taste experiments. We provide the full description of the hardware and software architecture and illustrate the application of the working prototype in single-subject event-related fMRI experiments by showing the BOLD responses to basic taste qualities and to five intensities of tastes during the course of perception. RESULTS The device is shown to be effective in activating multiple clusters within the gustatory pathway and a precise time-resolved event-related analysis is shown to be possible by the impulsive nature of the induced perception. COMPARISON WITH EXISTING METHOD(S) This gustometer represents the first implementation of a low-cost, easily replicable and portable device that is suitable for all kinds of fMRI taste experiments. Its scalability will boost the experimental design of more complex multi-dimensional fMRI studies of the human taste pathway. CONCLUSIONS The gustometer represents a valid open-architecture alternative to other available devices and its spread and development may contribute to an increased standardization of experimental designs in human fMRI studies of taste perception and pave the way to the development of novel taste-related BCIs.
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Affiliation(s)
- Antonietta Canna
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Salerno, Italy.
| | - Anna Prinster
- Biostructure and Bioimaging Institute, National Research Council, Naples, Italy
| | | | - Luca Puglia
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Salerno, Italy
| | - Mario Magliulo
- Biostructure and Bioimaging Institute, National Research Council, Naples, Italy
| | - Elena Cantone
- Section of ENT, Department of Neuroscience, "Federico II" University, Naples, Italy
| | | | - Francesco Di Salle
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Salerno, Italy; Department of Diagnostic Imaging, University Hospital "San Giovanni di Dio e Ruggi D'Aragona", Salerno, Italy
| | - Fabrizio Esposito
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Salerno, Italy; Department of Diagnostic Imaging, University Hospital "San Giovanni di Dio e Ruggi D'Aragona", Salerno, Italy
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Giuliani NR, Merchant JS, Cosme D, Berkman ET. Neural predictors of eating behavior and dietary change. Ann N Y Acad Sci 2018; 1428:208-220. [PMID: 29543993 PMCID: PMC6139096 DOI: 10.1111/nyas.13637] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 01/11/2018] [Accepted: 01/16/2018] [Indexed: 01/10/2023]
Abstract
Recently, there has been an increase in the number of human neuroimaging studies seeking to predict behavior above and beyond traditional measurements such as self-report. This trend has been particularly notable in the area of food consumption, as the percentage of people categorized as overweight or obese continues to rise. In this review, we argue that there is considerable utility in this form of health neuroscience, modeling the neural bases of eating behavior and dietary change in healthy community populations. Further, we propose a model and accompanying evidence indicating that several basic processes underlying eating behavior, particularly reactivity, regulation, and valuation, can be predictive of behavior change. We also discuss future directions for this work.
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Affiliation(s)
- Nicole R. Giuliani
- Department of Special Education and Clinical Sciences, University of Oregon
- Center for Translational Neuroscience, University of Oregon
| | | | - Danielle Cosme
- Center for Translational Neuroscience, University of Oregon
- Department of Psychology, University of Oregon
| | - Elliot T. Berkman
- Center for Translational Neuroscience, University of Oregon
- Department of Psychology, University of Oregon
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Wu J, Willner CJ, Hill C, Fearon P, Mayes LC, Crowley MJ. Emotional eating and instructed food-cue processing in adolescents: An ERP study. Biol Psychol 2018; 132:27-36. [PMID: 29097149 PMCID: PMC5801158 DOI: 10.1016/j.biopsycho.2017.10.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 10/29/2017] [Accepted: 10/29/2017] [Indexed: 10/18/2022]
Abstract
We examined the P3 (250-500ms) and Late Positive Potential (LPP; 500-2000ms) event-related potentials (ERPs) to food vs. nonfood cues among adolescents reporting on emotional eating (EE) behavior. Eighty-six adolescents 10-17 years old were tested using an instructed food versus nonfood cue viewing task (imagine food taste) during high-density EEG recording. Self-report data showed that EE increased with age in girls, but not in boys. Both P3 and LPP amplitudes were greater for food vs. nonfood cues (food-cue bias). Exploratory analyses revealed that, during the LPP time period, greater EE was associated with a more positive food-cue bias in the fronto-central region. This heightened fronto-central food-cue bias LPP is in line with a more activated prefrontal attention system. The results suggest that adolescents with higher EE may engage more top-down cognitive resources to regulate their automatic emotional response to food cues, and/or they may exhibit greater reward network activation to food cues than do adolescents with lower EE, even in the absence of an emotional mood induction.
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Affiliation(s)
- Jia Wu
- Yale Child Study Center, Yale School of Medicine, New Haven, CT
| | | | - Claire Hill
- School of Psychology & Clinical Language Sciences, University of Reading, UK
| | - Pasco Fearon
- Division of Psychology & Language Sciences, University College London, UK
| | - Linda C. Mayes
- Yale Child Study Center, Yale School of Medicine, New Haven, CT
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Meng Q, Han Y, Ji G, Li G, Hu Y, Liu L, Jin Q, von Deneen KM, Zhao J, Cui G, Wang H, Tomasi D, Volkow ND, Liu J, Nie Y, Zhang Y, Wang GJ. Disrupted topological organization of the frontal-mesolimbic network in obese patients. Brain Imaging Behav 2018; 12:1544-1555. [DOI: 10.1007/s11682-017-9802-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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16
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Getting to the heart of the matter: Does aberrant interoceptive processing contribute towards emotional eating? PLoS One 2017; 12:e0186312. [PMID: 29045451 PMCID: PMC5646794 DOI: 10.1371/journal.pone.0186312] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 09/28/2017] [Indexed: 11/22/2022] Open
Abstract
According to estimates from Public Health England, by 2034 70% of adults are expected to be overweight or obese, therefore understanding the underpinning aetiology is a priority. Eating in response to negative affect contributes towards obesity, however, little is known about the underlying mechanisms. Evidence that visceral afferent signals contribute towards the experience of emotion is accumulating rapidly, with the emergence of new influential models of ‘active inference’. No longer viewed as a ‘bottom up’ process, new interoceptive facets based on ‘top down’ predictions have been proposed, although at present it is unclear which aspects of interoception contribute to aberrant eating behaviour and obesity. Study one examined the link between eating behaviour, body mass index and the novel interoceptive indices; interoceptive metacognitive awareness (IAw) and interoceptive prediction error (IPE), as well as the traditional measures; interoceptive accuracy (IAc) and interoceptive sensibility (IS). The dissociation between these interoceptive indices was confirmed. Emotional eaters were characterised by a heightened interoceptive signal but reduced meta-cognitive awareness of their interoceptive abilities. In addition, emotional eating correlated with IPE; effects that could not be accounted for by differences in anxiety and depression. Study two confirmed the positive association between interoceptive accuracy and emotional eating using a novel unbiased heartbeat discrimination task based on the method of constant stimuli. Results reveal new and important mechanistic insights into the processes that may underlie problematic affect regulation in overweight populations.
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17
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Kishi M, Sadachi H, Nakamura J, Tonoike M. Functional magnetic resonance imaging investigation of brain regions associated with astringency. Neurosci Res 2017; 122:9-16. [DOI: 10.1016/j.neures.2017.03.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 03/14/2017] [Accepted: 03/29/2017] [Indexed: 11/30/2022]
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18
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Wu S, Cai T, Luo X. Validation of the Dutch Eating Behavior Questionnaire (DEBQ) in a sample of Chinese adolescents. PSYCHOL HEALTH MED 2016; 22:282-288. [DOI: 10.1080/13548506.2016.1173712] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Hofmann J, Ardelt-Gattinger E, Paulmichl K, Weghuber D, Blechert J. Dietary restraint and impulsivity modulate neural responses to food in adolescents with obesity and healthy adolescents. Obesity (Silver Spring) 2015; 23:2183-9. [PMID: 26381395 DOI: 10.1002/oby.21254] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Revised: 07/16/2015] [Accepted: 07/16/2015] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Despite alarming prevalence rates, surprisingly little is known about neural mechanisms underlying eating behavior in juveniles with obesity. To simulate reactivity to modern food environments, event-related potentials (ERP) to appetizing food images (relative to control images) were recorded in adolescents with obesity and healthy adolescents. METHODS Thirty-four adolescents with obesity (patients) and 24 matched healthy control adolescents watched and rated standardized food and object images during ERP recording. Personality (impulsivity) and eating styles (trait craving and dietary restraint) were assessed as potential moderators. RESULTS Food relative to object images triggered larger early (P100) and late (P300) ERPs. More impulsive individuals had considerably larger food-specific P100 amplitudes in both groups. Controls with higher restraint scores showed reduced food-specific P300 amplitudes and subjective palatability ratings whereas patients with higher restraint scores showed increased P300 and palatability ratings. CONCLUSIONS This first ERP study in adolescents with obesity and controls revealed impulsivity as a general risk factor in the current obesogenic environment by increasing food-cue salience. Dietary restraint showed paradoxical effects in patients, making them more vulnerable to visual food-cues. Salutogenic therapeutic approaches that deemphasize strict dietary restraint and foster healthy food choice might reduce such paradoxical effects.
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Affiliation(s)
- Johannes Hofmann
- Center for Cognitive Neuroscience, Department of Psychology, University of Salzburg, Austria
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Obesity Academy Austria, Salzburg, Austria
| | - Elisabeth Ardelt-Gattinger
- Center for Cognitive Neuroscience, Department of Psychology, University of Salzburg, Austria
- Obesity Academy Austria, Salzburg, Austria
| | - Katharina Paulmichl
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
- Obesity Academy Austria, Salzburg, Austria
| | - Daniel Weghuber
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Obesity Academy Austria, Salzburg, Austria
| | - Jens Blechert
- Center for Cognitive Neuroscience, Department of Psychology, University of Salzburg, Austria
- Obesity Academy Austria, Salzburg, Austria
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van Strien T, Levitan RD, Engels RC, Homberg JR. Season of birth, the dopamine D4 receptor gene and emotional eating in males and females. Evidence of a genetic plasticity factor? Appetite 2015; 90:51-7. [DOI: 10.1016/j.appet.2015.02.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 02/16/2015] [Accepted: 02/18/2015] [Indexed: 01/08/2023]
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21
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Jarcho JM, Tanofsky-Kraff M, Nelson EE, Engel SG, Vannucci A, Field SE, Romer AL, Hannallah L, Brady SM, Demidowich AP, Shomaker LB, Courville AB, Pine DS, Yanovski JA. Neural activation during anticipated peer evaluation and laboratory meal intake in overweight girls with and without loss of control eating. Neuroimage 2015; 108:343-53. [PMID: 25550068 PMCID: PMC4323624 DOI: 10.1016/j.neuroimage.2014.12.054] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Revised: 12/15/2014] [Accepted: 12/18/2014] [Indexed: 10/24/2022] Open
Abstract
The interpersonal model of loss of control (LOC) eating proposes that socially distressing situations lead to anxious states that trigger excessive food consumption. Self-reports support these links, but the neurobiological underpinnings of these relationships remain unclear. We therefore examined brain regions associated with anxiety in relation to LOC eating and energy intake in the laboratory. Twenty-two overweight and obese (BMIz: 1.9±0.4) adolescent (15.8±1.6y) girls with LOC eating (LOC+, n=10) and without LOC eating (LOC-, n=12) underwent functional magnetic resonance imaging (fMRI) during a simulated peer interaction chatroom paradigm. Immediately after the fMRI scan, girls consumed lunch ad libitum from a 10,934-kcal laboratory buffet meal with the instruction to "let yourself go and eat as much as you want." Pre-specified hypotheses regarding activation of five regions of interest were tested. Analysis of fMRI data revealed a significant group by peer feedback interaction in the ventromedial prefrontal cortex (vmPFC), such that LOC+ had less activity following peer rejection (vs. acceptance), while LOC- had increased activity (p<.005). Moreover, functional coupling between vmPFC and striatum for peer rejection (vs. acceptance) interacted with LOC status: coupling was positive for LOC+, but negative in LOC- (p<.005). Activity of fusiform face area (FFA) during negative peer feedback from high-value peers also interacted with LOC status (p<.005). A positive association between FFA activation and intake during the meal was observed among only those with LOC eating. In conclusion, overweight and obese girls with LOC eating may be distinguished by a failure to engage regions of prefrontal cortex implicated in emotion regulation in response to social distress. The relationship between FFA activation and food intake supports the notion that heightened sensitivity to incoming interpersonal cues and perturbations in socio-emotional neural circuits may lead to overeating in order to cope with negative affect elicited by social discomfort in susceptible youth.
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Affiliation(s)
- Johanna M Jarcho
- Section on Development and Affective Neuroscience, National Institute of Mental Health, National Institutes of Health (NIH), 9000 Rockville Pike, Bldg 15K, Bethesda, MD 20892, USA
| | - Marian Tanofsky-Kraff
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA; Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA.
| | - Eric E Nelson
- Section on Development and Affective Neuroscience, National Institute of Mental Health, National Institutes of Health (NIH), 9000 Rockville Pike, Bldg 15K, Bethesda, MD 20892, USA
| | - Scott G Engel
- Neuropsychiatric Research Institute and University of North Dakota School of Medicine and Health Sciences, 700 1st Ave S, Fargo, ND 58103, USA
| | - Anna Vannucci
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA; Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Sara E Field
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA; Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Adrienne L Romer
- Section on Development and Affective Neuroscience, National Institute of Mental Health, National Institutes of Health (NIH), 9000 Rockville Pike, Bldg 15K, Bethesda, MD 20892, USA
| | - Louise Hannallah
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA; Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Sheila M Brady
- Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Andrew P Demidowich
- Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Lauren B Shomaker
- Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Amber B Courville
- Nutrition Department, Clinical Center, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
| | - Daniel S Pine
- Section on Development and Affective Neuroscience, National Institute of Mental Health, National Institutes of Health (NIH), 9000 Rockville Pike, Bldg 15K, Bethesda, MD 20892, USA
| | - Jack A Yanovski
- Section on Growth and Obesity, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, DHHS, 10 Center Dr, Bethesda, MD 20892, USA
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