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Kaliuzhna M, Carruzzo F, Kuenzi N, Tobler PN, Kirschner M, Geffen T, Katthagen T, Böge K, Zierhut MM, Schlagenhauf F, Kaiser S. Adaptive coding of reward in schizophrenia, its change over time and relationship to apathy. Brain 2024; 147:2459-2470. [PMID: 38608149 PMCID: PMC11224610 DOI: 10.1093/brain/awae112] [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: 12/22/2023] [Revised: 03/11/2024] [Accepted: 03/16/2024] [Indexed: 04/14/2024] Open
Abstract
Adaptive coding of reward is the process by which neurons adapt their response to the context of available compensations. Higher rewards lead to a stronger brain response, but the increase of the response depends on the range of available rewards. A steeper increase is observed in a narrow range and a more gradual slope in a wider range. In schizophrenia, adaptive coding appears to be affected in different domains, especially in the reward domain. Here, we tested adaptive coding of reward in a large group of patients with schizophrenia (n = 86) and control subjects (n = 66). We assessed: (i) the association between adaptive coding deficits and symptoms; (ii) the longitudinal stability of deficits (the same task was performed 3 months apart); and (iii) the stability of results between two experimental sites. We used functional MRI and the monetary incentive delay task to assess adaptation of participants to two different reward ranges: a narrow range and a wide range. We used a region-of-interest analysis to evaluate adaptation within striatal and visual regions. Patients and control subjects underwent a full demographic and clinical assessment. We found reduced adaptive coding in patients, with a decreased slope in the narrow reward range with respect to that of control participants, in striatal but not visual regions. This pattern was observed at both research sites. Upon retesting, patients increased their narrow-range slopes, showing improved adaptive coding, whereas control subjects slightly reduced them. At retesting, patients with overly steep slopes in the narrow range also showed higher levels of negative symptoms. Our data confirm deficits in reward adaptation in schizophrenia and reveal an effect of practice in patients, leading to improvement, with steeper slopes upon retesting. However, in some patients, an excessively steep slope may result in poor discriminability of larger rewards, owing to early saturation of the brain response. Together, the loss of precision of reward representation in new (first exposure, underadaptation) and more familiar (retest, overadaptation) situations might contribute to the multiple motivational symptoms in schizophrenia.
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Affiliation(s)
- Mariia Kaliuzhna
- Clinical and Experimental Psychopathology Laboratory, Department of Psychiatry, University of Geneva, 1205 Geneva, Switzerland
| | - Fabien Carruzzo
- Clinical and Experimental Psychopathology Laboratory, Department of Psychiatry, University of Geneva, 1205 Geneva, Switzerland
| | - Noémie Kuenzi
- Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Philippe N Tobler
- Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, 8006 Zurich, Switzerland
| | - Matthias Kirschner
- Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Tal Geffen
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Teresa Katthagen
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Kerem Böge
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Marco M Zierhut
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Florian Schlagenhauf
- Department of Psychiatry and Psychotherapy, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Stefan Kaiser
- Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland
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2
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Namgung JY, Park Y, Park Y, Kim CY, Park BY. Diffusion time-related structure-function coupling reveals differential association with inter-individual variations in body mass index. Neuroimage 2024; 291:120590. [PMID: 38548036 DOI: 10.1016/j.neuroimage.2024.120590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/13/2024] Open
Abstract
Body mass index (BMI) is an indicator of obesity, and recent neuroimaging studies have demonstrated that inter-individual variations in BMI are associated with altered brain structure and function. However, the mechanism underlying the alteration of structure-function correspondence according to BMI is under-investigated. In this study, we studied structural and functional connectivity derived from diffusion MRI tractography and inter-regional correlations of functional MRI time series, respectively. We combined the structural and functional connectivity information using the Riemannian optimization approach. First, the low-dimensional principal eigenvectors (i.e., gradients) of the structural connectivity were generated by applying diffusion map embedding with varying diffusion times. A transformation was identified so that the structural and functional embeddings share the same coordinate system, and subsequently, the functional connectivity matrix was simulated. Then, we generated gradients from the simulated functional connectivity matrix. We found the most apparent cortical hierarchical organization differentiating between low-level sensory and higher-order transmodal regions in the middle of the diffusion time, indicating that the hierarchical organization of the brain may reflect the intermediate mechanisms of mono- and polysynaptic communications. Associations between the functional gradients and BMI were strongest when the hierarchical structure was the most evident. Moreover, the gradient-BMI association map was related to the microstructural features, and the findings indicated that the BMI-related structure-function coupling was significantly associated with brain microstructure, particularly in higher-order transmodal areas. Finally, transcriptomic association analysis revealed the potential biological underpinnings specifying gene enrichment in the striatum, hypothalamus, and cortical cells. Our findings provide evidence that structure-function correspondence is strongly coupled with BMI when hierarchical organization is the most apparent and that the associations are related to the multiscale properties of the brain, leading to an advanced understanding of the neural mechanisms related to BMI.
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Affiliation(s)
| | - Yeongjun Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Yunseo Park
- Department of Data Science, Inha University, Incheon, Republic of Korea
| | - Chae Yeon Kim
- Department of Data Science, Inha University, Incheon, Republic of Korea
| | - Bo-Yong Park
- Department of Data Science, Inha University, Incheon, Republic of Korea; Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea.
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3
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Dunn JP, Lamichhane B, Smith GI, Garner A, Wallendorf M, Hershey T, Klein S. Dorsal striatal response to taste is modified by obesity and insulin resistance. Obesity (Silver Spring) 2023; 31:2065-2075. [PMID: 37475685 PMCID: PMC10767984 DOI: 10.1002/oby.23799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVE In preclinical models, insulin resistance in the dorsal striatum (DS) contributes to overeating. Although human studies support the concept of central insulin resistance, they have not investigated its effect on consummatory reward-induced brain activity. METHODS Taste-induced activation was assessed in the caudate and putamen of the DS with blood oxygen level-dependent (BOLD) functional magnetic resonance imaging. Three phenotypically distinct groups were studied: metabolically healthy lean, metabolically healthy obesity, and metabolically unhealthy obesity (MUO; presumed to have central insulin resistance). Participants with MUO also completed a weight loss intervention followed by a second functional magnetic resonance imaging session. RESULTS The three groups were significantly different at baseline consistent with the design. The metabolically healthy lean group had a primarily positive BOLD response, the MUO group had a primarily negative BOLD response, and the metabolically healthy obesity group had a response in between the two other groups. Food craving was predicted by taste-induced activation. After weight loss in the MUO group, taste-induced activation increased in the DS. CONCLUSIONS These data support the hypothesis that insulin resistance and obesity contribute to aberrant responses to taste in the DS, which is only partially attenuated by weight loss. Aberrant responses to food exposure may be a barrier to weight loss.
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Affiliation(s)
- Julia P. Dunn
- VA St. Louis Health Care System, St. Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Bidhan Lamichhane
- Department of Neurosurgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Gordon I. Smith
- Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Amy Garner
- VA St. Louis Health Care System, St. Louis, Missouri, USA
| | - Michael Wallendorf
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Tamara Hershey
- Departments of Psychiatry and Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Samuel Klein
- Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
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4
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Burger KS. Food reinforcement architecture: A framework for impulsive and compulsive overeating and food abuse. Obesity (Silver Spring) 2023; 31:1734-1744. [PMID: 37368515 PMCID: PMC10313138 DOI: 10.1002/oby.23792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 06/29/2023]
Abstract
Few reward-based theories address key drivers of susceptibility to food cues and consumption beyond fullness. Decision-making and habit formation are governed by reinforcement-based learning processes that, when overstimulated, can drive unregulated hedonically motivated overeating. Here, a model food reinforcement architecture is proposed that uses fundamental concepts in reinforcement and decision-making to identify maladaptive eating habits that can lead to obesity. This model is unique in that it identifies metabolic drivers of reward and incorporates neuroscience, computational decision-making, and psychology to map overeating and obesity. Food reinforcement architecture identifies two paths to overeating: a propensity for hedonic targeting of food cues contributing to impulsive overeating and lack of satiation that contributes to compulsive overeating. A combination of those paths will result in a conscious and subconscious drive to overeat independent of negative consequences, leading to food abuse and/or obesity. Use of this model to identify aberrant reinforcement learning processes and decision-making systems that can serve as markers of overeating risk may provide an opportunity for early intervention in obesity.
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Affiliation(s)
- Kyle S Burger
- Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
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5
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Becetti I, Bwenyi EL, de Araujo IE, Ard J, Cryan JF, Farooqi IS, Ferrario CR, Gluck ME, Holsen LM, Kenny PJ, Lawson EA, Lowell BB, Schur EA, Stanley TL, Tavakkoli A, Grinspoon SK, Singhal V. The Neurobiology of Eating Behavior in Obesity: Mechanisms and Therapeutic Targets: A Report from the 23rd Annual Harvard Nutrition Obesity Symposium. Am J Clin Nutr 2023; 118:314-328. [PMID: 37149092 PMCID: PMC10375463 DOI: 10.1016/j.ajcnut.2023.05.003] [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] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 04/03/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023] Open
Abstract
Obesity is increasing at an alarming rate. The effectiveness of currently available strategies for the treatment of obesity (including pharmacologic, surgical, and behavioral interventions) is limited. Understanding the neurobiology of appetite and the important drivers of energy intake (EI) can lead to the development of more effective strategies for the prevention and treatment of obesity. Appetite regulation is complex and is influenced by genetic, social, and environmental factors. It is intricately regulated by a complex interplay of endocrine, gastrointestinal, and neural systems. Hormonal and neural signals generated in response to the energy state of the organism and the quality of food eaten are communicated by paracrine, endocrine, and gastrointestinal signals to the nervous system. The central nervous system integrates homeostatic and hedonic signals to regulate appetite. Although there has been an enormous amount of research over many decades regarding the regulation of EI and body weight, research is only now yielding potentially effective treatment strategies for obesity. The purpose of this article is to summarize the key findings presented in June 2022 at the 23rd annual Harvard Nutrition Obesity Symposium entitled "The Neurobiology of Eating Behavior in Obesity: Mechanisms and Therapeutic Targets." Findings presented at the symposium, sponsored by NIH P30 Nutrition Obesity Research Center at Harvard, enhance our current understanding of appetite biology, including innovative techniques used to assess and systematically manipulate critical hedonic processes, which will shape future research and the development of therapeutics for obesity prevention and treatment.
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Affiliation(s)
- Imen Becetti
- Division of Pediatric Endocrinology, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA, United States.
| | - Esther L Bwenyi
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, United States; Nutrition Obesity Research Center at Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Ivan E de Araujo
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, United States; Diabetes, Obesity, and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Jamy Ard
- Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States; Bariatric and Weight Management Center, Wake Forest Baptist Health, Winston-Salem, NC, United States; Center on Diabetes, Obesity, and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC, United States; Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States; Hypertension and Vascular Research Center, Cardiovascular Sciences Center, Wake Forest University School of Medicine, Winston-Salem, NC, United States; Maya Angelou Center for Healthy Equity, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - John F Cryan
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland; APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Ismaa Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom; Wellcome-Medical Research Council (MRC) Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom; Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, United Kingdom
| | - Carrie R Ferrario
- Department of Pharmacology, Psychology Department (Biopsychology Area), University of Michigan, Ann Arbor, MI, United States
| | - Marci E Gluck
- National Institutes of Health, Phoenix, AZ, United States; National Institute of Diabetes and Digestive and Kidney Disease, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, Phoenix, AZ, United States
| | - Laura M Holsen
- Harvard Medical School, Boston, MA, United States; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States; Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
| | - Paul J Kenny
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, United States; Diabetes, Obesity, and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Elizabeth A Lawson
- Nutrition Obesity Research Center at Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States; Department of Medicine, Harvard Medical School, Boston, MA, United States; Neuroendocrine Unit, Massachusetts General Hospital, Boston, MA, United States
| | - Bradford B Lowell
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Ellen A Schur
- Division of General Internal Medicine, University of Washington, Seattle, WA, United States; Univeristy of Washington Medicine Diabetes Institute, University of Washington, Seattle, WA, United States; Univeristy of Washington Nutrition and Obesity Research Center, University of Washington, Seattle, WA, United States; Clinical and Translational Research Services Core, University of Washington, Seattle, WA, United States
| | - Takara L Stanley
- Division of Pediatric Endocrinology, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA, United States; Metabolism Unit, Massachusetts General Hospital, Boston, MA, United States; Nutrition Obesity Research Center at Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Ali Tavakkoli
- Division of General and Gastrointestinal (GI) Surgery, Center for Weight Management and Wellness, Advanced Minimally Invasive Fellowship, Harvard Medical School, Boston, MA, United States
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, United States; Nutrition Obesity Research Center at Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Vibha Singhal
- Division of Pediatric Endocrinology, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Pediatric Endocrinology and Obesity Medicine, Massachusetts General Hospital, Boston, MA, United States; Pediatric Program MGH Weight Center, Massachusetts General Hospital, Boston, MA, United States
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6
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Nelson TD, Stice E. Contextualizing the Neural Vulnerabilities Model of Obesity. Nutrients 2023; 15:2988. [PMID: 37447312 DOI: 10.3390/nu15132988] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
In recent years, investigators have focused on neural vulnerability factors that increase the risk of unhealthy weight gain, which has provided a useful organizing structure for obesity neuroscience research. However, this framework, and much of the research it has informed, has given limited attention to contextual factors that may interact with key vulnerabilities to impact eating behaviors and weight gain. To fill this gap, we propose a Contextualized Neural Vulnerabilities Model of Obesity, extending the existing theory to more intentionally incorporate contextual factors that are hypothesized to interact with neural vulnerabilities in shaping eating behaviors and weight trajectories. We begin by providing an overview of the Neural Vulnerabilities Model of Obesity, and briefly review supporting evidence. Next, we suggest opportunities to add contextual considerations to the model, including incorporating environmental and developmental context, emphasizing how contextual factors may interact with neural vulnerabilities to impact eating and weight. We then synthesize earlier models and new extensions to describe a Contextualized Neural Vulnerabilities Model of Obesity with three interacting components-food reward sensitivity, top-down regulation, and environmental factors-all within a developmental framework that highlights adolescence as a key period. Finally, we propose critical research questions arising from the framework, as well as opportunities to inform novel interventions.
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Affiliation(s)
- Timothy D Nelson
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Eric Stice
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
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7
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Edwin Thanarajah S, DiFeliceantonio AG, Albus K, Kuzmanovic B, Rigoux L, Iglesias S, Hanßen R, Schlamann M, Cornely OA, Brüning JC, Tittgemeyer M, Small DM. Habitual daily intake of a sweet and fatty snack modulates reward processing in humans. Cell Metab 2023; 35:571-584.e6. [PMID: 36958330 DOI: 10.1016/j.cmet.2023.02.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/21/2022] [Accepted: 02/23/2023] [Indexed: 03/25/2023]
Abstract
Western diets rich in fat and sugar promote excess calorie intake and weight gain; however, the underlying mechanisms are unclear. Despite a well-documented association between obesity and altered brain dopamine function, it remains elusive whether these alterations are (1) pre-existing, increasing the individual susceptibility to weight gain, (2) secondary to obesity, or (3) directly attributable to repeated exposure to western diet. To close this gap, we performed a randomized, controlled study (NCT05574660) with normal-weight participants exposed to a high-fat/high-sugar snack or a low-fat/low-sugar snack for 8 weeks in addition to their regular diet. The high-fat/high-sugar intervention decreased the preference for low-fat food while increasing brain response to food and associative learning independent of food cues or reward. These alterations were independent of changes in body weight and metabolic parameters, indicating a direct effect of high-fat, high-sugar foods on neurobehavioral adaptations that may increase the risk for overeating and weight gain.
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Affiliation(s)
- Sharmili Edwin Thanarajah
- Max Planck Institute for Metabolism Research, Cologne, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
| | - Alexandra G DiFeliceantonio
- Fralin Biomedical Research Institute at Virginia Tech Carilion & Department of Human Nutrition, Foods, and Exercise, College of Agriculture and Life Sciences, Roanoke, VA, USA
| | - Kerstin Albus
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD) & Excellence Center for Medical Mycology (ECMM), Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | | | - Lionel Rigoux
- Max Planck Institute for Metabolism Research, Cologne, Germany
| | - Sandra Iglesias
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Ruth Hanßen
- Max Planck Institute for Metabolism Research, Cologne, Germany; Policlinic for Endocrinology, Diabetes and Preventive Medicine (PEPD), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Marc Schlamann
- Department of Neuroradiology, University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Oliver A Cornely
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD) & Excellence Center for Medical Mycology (ECMM), Faculty of Medicine and University Hospital Cologne, Cologne, Germany; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany; Clinical Trials Centre Cologne (ZKS Köln), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Jens C Brüning
- Max Planck Institute for Metabolism Research, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Policlinic for Endocrinology, Diabetes and Preventive Medicine (PEPD), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Marc Tittgemeyer
- Max Planck Institute for Metabolism Research, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
| | - Dana M Small
- Modern Diet and Physiology Research Center, New Haven, CT, USA; Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA.
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8
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Ely AV, Wetherill RR. Reward and inhibition in obesity and cigarette smoking: Neurobiological overlaps and clinical implications. Physiol Behav 2023; 260:114049. [PMID: 36470508 PMCID: PMC10694810 DOI: 10.1016/j.physbeh.2022.114049] [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] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022]
Abstract
Cigarette smoking and obesity are the leading causes of premature morbidity and mortality and increase the risk of all-cause mortality four-fold when comorbid. Individuals with these conditions demonstrate neurobiological and behavioral differences regarding how they respond to rewarding stimuli or engage in inhibitory control. This narrative review examines the role of reward and inhibition in cigarette smoking and obesity independently, as well as recent research demonstrating an effect of increased body mass index (BMI) on neurocognitive function in individuals who smoke. It is possible that chronic smoking and overeating of highly palatable food, contributing to obesity, dysregulates reward neurocircuitry, subsequently leading to hypofunction of brain networks associated with inhibitory control. These brain changes do not appear to be specific to food or nicotine and, as a result, can potentiate continued cross-use. Changes to reward and inhibitory function due to increased BMI may also make cessation more difficult for those comorbid for obesity and smoking.
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Affiliation(s)
- Alice V Ely
- Cooper University Health Care, Center for Healing, Division of Addiction Medicine, Camden, NJ 08103, USA.
| | - Reagan R Wetherill
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
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9
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Fazzino TL, Kong KL. A new paradigm for investigating the etiology of obesity in early childhood: Exposure to added sugars and hyper-palatable foods in infancy and dysregulation of food reinforcement processes. Obes Rev 2023; 24:e13526. [PMID: 36358033 DOI: 10.1111/obr.13526] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 08/17/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022]
Affiliation(s)
- Tera L Fazzino
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA.,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA
| | - Kai Ling Kong
- Baby Health Behavior Lab, Division of Health Services and Outcomes Research, Children's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri-Kansas City, Kansas City, Missouri, USA.,Department of Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, USA
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10
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Medawar E, Zedler M, de Biasi L, Villringer A, Witte AV. Effects of single plant-based vs. animal-based meals on satiety and mood in real-world smartphone-embedded studies. NPJ Sci Food 2023; 7:1. [PMID: 36596802 PMCID: PMC9810708 DOI: 10.1038/s41538-022-00176-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 12/15/2022] [Indexed: 01/04/2023] Open
Abstract
Adopting plant-based diets high in fiber may reduce global warming and obesity prevalence. Physiological and psychological determinants of plant-based food intake remain unclear. As fiber has been linked with improved gut-brain signaling, we hypothesized that a single plant-based (vegetarian and vegan) compared to an animal-based (animal flesh) meal, would induce higher satiety, higher mood and less stress. In three large-scale smartphone-based studies, adults (nall = 16,379) ranked satiety and mood before and after meal intake. Meal intake induced satiety and higher mood. Plant-based meal choices did not explain differences in post-meal hunger. Individuals choosing a plant-based meal reported slightly higher mood before and smaller mood increases after the meal compared to those choosing animal-based meals. Protein content marginally mediated post-meal satiety, while gender and taste ratings had a strong effect on satiety and mood in general. We could not detect the profound effects of plant-based vs. animal-based meals on satiety and mood.
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Affiliation(s)
- Evelyn Medawar
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
- Charité - Universitätsmedizin Berlin; Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Marie Zedler
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Larissa de Biasi
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin; Humboldt-Universität zu Berlin, Berlin, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
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11
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Pearce AL, Fuchs BA, Keller KL. The role of reinforcement learning and value-based decision-making frameworks in understanding food choice and eating behaviors. Front Nutr 2022; 9:1021868. [PMID: 36483928 PMCID: PMC9722736 DOI: 10.3389/fnut.2022.1021868] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/04/2022] [Indexed: 11/23/2022] Open
Abstract
The obesogenic food environment includes easy access to highly-palatable, energy-dense, "ultra-processed" foods that are heavily marketed to consumers; therefore, it is critical to understand the neurocognitive processes the underlie overeating in response to environmental food-cues (e.g., food images, food branding/advertisements). Eating habits are learned through reinforcement, which is the process through which environmental food cues become valued and influence behavior. This process is supported by multiple behavioral control systems (e.g., Pavlovian, Habitual, Goal-Directed). Therefore, using neurocognitive frameworks for reinforcement learning and value-based decision-making can improve our understanding of food-choice and eating behaviors. Specifically, the role of reinforcement learning in eating behaviors was considered using the frameworks of (1) Sign-versus Goal-Tracking Phenotypes; (2) Model-Free versus Model-Based; and (3) the Utility or Value-Based Model. The sign-and goal-tracking phenotypes may contribute a mechanistic insight on the role of food-cue incentive salience in two prevailing models of overconsumption-the Extended Behavioral Susceptibility Theory and the Reactivity to Embedded Food Cues in Advertising Model. Similarly, the model-free versus model-based framework may contribute insight to the Extended Behavioral Susceptibility Theory and the Healthy Food Promotion Model. Finally, the value-based model provides a framework for understanding how all three learning systems are integrated to influence food choice. Together, these frameworks can provide mechanistic insight to existing models of food choice and overconsumption and may contribute to the development of future prevention and treatment efforts.
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Affiliation(s)
- Alaina L. Pearce
- Social Science Research Institute, Pennsylvania State University, University Park, PA, United States
- Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States
| | - Bari A. Fuchs
- Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States
| | - Kathleen L. Keller
- Social Science Research Institute, Pennsylvania State University, University Park, PA, United States
- Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States
- Department of Food Science, Pennsylvania State University, University Park, PA, United States
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12
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Abstract
The modern obesogenic environment contains an abundance of food cues (e.g., sight, smell of food) as well cues that are associated with food through learning and memory processes. Food cue exposure can lead to food seeking and excessive consumption in otherwise food-sated individuals, and a high level of food cue responsivity is a risk factor for overweight and obesity. Similar food cue responses are observed in experimental rodent models, and these models are therefore useful for mechanistically identifying the neural circuits mediating food cue responsivity. This review draws from both experimental rodent models and human data to characterize the behavioral and biological processes through which food-associated stimuli contribute to overeating and weight gain. Two rodent models are emphasized - cue-potentiated feeding and Pavlovian-instrumental transfer - that provide insight in the neural circuits and peptide systems underlying food cue responsivity. Data from humans are highlighted that reveal physiological, psychological, and neural mechanisms that connect food cue responsivity with overeating and weight gain. The collective literature identifies connections between heightened food cue responsivity and obesity in both rodents and humans, and identifies underlying brain regions (nucleus accumbens, amygdala, orbitofrontal cortex, hippocampus) and endocrine systems (ghrelin) that regulate food cue responsivity in both species. These species similarities are encouraging for the possibility of mechanistic rodent model research and further human research leading to novel treatments for excessive food cue responsivity in humans.
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Affiliation(s)
- Scott E Kanoski
- Department of Biological Sciences, Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA, USA
| | - Kerri N Boutelle
- Department of Pediatrics, Herbert Wertheim School of Public Health and Human Longevity Science, and Psychiatry, University of California San Diego, San Diego, CA, USA.
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13
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Kung PH, Soriano-Mas C, Steward T. The influence of the subcortex and brain stem on overeating: How advances in functional neuroimaging can be applied to expand neurobiological models to beyond the cortex. Rev Endocr Metab Disord 2022; 23:719-731. [PMID: 35380355 PMCID: PMC9307542 DOI: 10.1007/s11154-022-09720-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 12/13/2022]
Abstract
Functional neuroimaging has become a widely used tool in obesity and eating disorder research to explore the alterations in neurobiology that underlie overeating and binge eating behaviors. Current and traditional neurobiological models underscore the importance of impairments in brain systems supporting reward, cognitive control, attention, and emotion regulation as primary drivers for overeating. Due to the technical limitations of standard field strength functional magnetic resonance imaging (fMRI) scanners, human neuroimaging research to date has focused largely on cortical and basal ganglia effects on appetitive behaviors. The present review draws on animal and human research to highlight how neural signaling encoding energy regulation, reward-learning, and habit formation converge on hypothalamic, brainstem, thalamic, and striatal regions to contribute to overeating in humans. We also consider the role of regions such as the mediodorsal thalamus, ventral striatum, lateral hypothalamus and locus coeruleus in supporting habit formation, inhibitory control of food craving, and attentional biases. Through these discussions, we present proposals on how the neurobiology underlying these processes could be examined using functional neuroimaging and highlight how ultra-high field 7-Tesla (7 T) fMRI may be leveraged to elucidate the potential functional alterations in subcortical networks. Focus is given to how interactions of these regions with peripheral endocannabinoids and neuropeptides, such as orexin, could be explored. Technical and methodological aspects regarding the use of ultra-high field 7 T fMRI to study eating behaviors are also reviewed.
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Affiliation(s)
- Po-Han Kung
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia
| | - Carles Soriano-Mas
- Psychiatry and Mental Health Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Neuroscience Program, L'Hospitalet de Llobregat, Spain
- CIBERSAM, Carlos III Health Institute, Madrid, Spain
- Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain
| | - Trevor Steward
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia.
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14
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Alterations in Functional and Structural Connectivity of Basal Ganglia Network in Patients with Obesity. Brain Topogr 2022; 35:453-463. [PMID: 35780276 DOI: 10.1007/s10548-022-00906-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 06/15/2022] [Indexed: 11/02/2022]
Abstract
Obesity is related to overconsumption of high-calorie (HiCal) food, which is modulated by brain reward and inhibitory control circuitries. The basal ganglia (BG) are a key set of nuclei within the reward circuitry, but obesity-associated functional and structural abnormalities of BG have not been well studied. Resting-state functional MRI with independent component analysis (ICA) and probabilistic tractography were employed to investigate differences in BG-related functional-(FC) and structural connectivity (SC) between 32 patients with obesity (OB) and 35 normal-weight (NW) participants. Compared to NW, OB showed significantly lower FC strength in the caudate nucleus within the BG network, and seed-based FC analysis showed lower FC between caudate and dorsolateral prefrontal cortex (DLPFC), which was negatively correlated with craving for HiCal food cues. Further SC analysis revealed that OB showed lower SC than NW between left caudate and left DLPFC as measured with fractional anisotropy (FA). Alterations in FC and SC between caudate and DLPFC in obese patients, which highlights the role of BG network in modulating the balance between reward and inhibitory-control.
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15
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Coquery N, Gautier Y, Serrand Y, Meurice P, Bannier E, Thibault R, Constant A, Moirand R, Val-Laillet D. Brain Responses to Food Choices and Decisions Depend on Individual Hedonic Profiles and Eating Habits in Healthy Young Women. Front Nutr 2022; 9:920170. [PMID: 35811938 PMCID: PMC9263555 DOI: 10.3389/fnut.2022.920170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/06/2022] [Indexed: 01/17/2023] Open
Abstract
The way different food consumption habits in healthy normal-weight individuals can shape their emotional and cognitive relationship with food and further disease susceptibility has been poorly investigated. Documenting the individual consumption of Western-type foods (i.e., high-calorie, sweet, fatty, and/or salty) in relation to psychological traits and brain responses to food-related situations can shed light on the early neurocognitive susceptibility to further diseases and disorders. We aimed to explore the relationship between eating habits, psychological components of eating, and brain responses as measured by blood oxygen level-dependent functional magnetic resonance imaging (fMRI) during a cognitive food choice task and using functional connectivity (FC) during resting-state fMRI (rsfMRI) in a population of 50 healthy normal-weight young women. A Food Consumption Frequency Questionnaire (FCFQ) was used to classify them on the basis of their eating habits and preferences by principal component analysis (PCA). Based on the PCA, we defined two eating habit profiles, namely, prudent-type consumers (PTc, N = 25) and Western-type consumers (WTc, N = 25), i.e., low and high consumers of western diet (WD) foods, respectively. The first two PCA dimensions, PCA1 and PCA2, were associated with different psychological components of eating and brain responses in regions involved in reward and motivation (striatum), hedonic evaluation (orbitofrontal cortex, OFC), decision conflict (anterior cingulate cortex, ACC), and cognitive control of eating (prefrontal cortex). PCA1 was inversely correlated with the FC between the right nucleus accumbens and the left lateral OFC, while PCA2 was inversely correlated with the FC between the right insula and the ACC. Our results suggest that, among a healthy population, distinct eating profiles can be detected, with specific correlates in the psychological components of eating behavior, which are also related to a modulation in the reward and motivation system during food choices. We could detect different patterns in brain functioning at rest, with reduced connectivity between the reward system and the frontal brain region in Western-type food consumers, which might be considered as an initial change toward ongoing modified cortico-striatal control.
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Affiliation(s)
- Nicolas Coquery
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
| | - Yentl Gautier
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
| | - Yann Serrand
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
| | - Paul Meurice
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
| | - Elise Bannier
- Inria, CRNS, Inserm, IRISA UMR 6074, Empenn U1228, Univ Rennes, Rennes, France
- CHU Rennes, Department of Radiology, Rennes, France
| | - Ronan Thibault
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
- Unité de Nutrition, CHU Rennes, Rennes, France
| | - Aymery Constant
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
- EHESP, School of Public Health, Rennes, France
| | - Romain Moirand
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
- Unité d’Addictologie, CHU Rennes, Rennes, France
| | - David Val-Laillet
- INRAE, INSERM, Univ Rennes, CHU Rennes, Nutrition Metabolisms and Cancer Institute, NuMeCan, Rennes, France
- *Correspondence: David Val-Laillet,
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16
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Bjorlie K, Forbush KT, Chapa DAN, Richson BN, Johnson SN, Fazzino TL. Hyper-palatable food consumption during binge-eating episodes: A comparison of intake during binge eating and restricting. Int J Eat Disord 2022; 55:688-696. [PMID: 35194821 DOI: 10.1002/eat.23692] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE The study aim was to elucidate the degree to which hyper-palatable foods (HPF) are consumed during binge episodes compared to restricting episodes, and to test the association between HPF intake during each episode and respective episode frequency. METHOD This study was a secondary analysis of data from a larger study on eating disorders. The present sample included adults (N = 147, 83% women) diagnosed with sub-threshold (41%) or full-threshold (59%) bulimia nervosa (BN). Foods consumed during binge and restricting episodes were assessed using the Eating Pathology Symptoms Inventory-Clinician Rated Version. A standardized definition of HPF developed previously was applied to foods consumed during binge and restricting episodes. A Wilcoxon matched-pairs signed-rank test was used to test the difference between total caloric intake from HPF (KcalHPF) and percentage of caloric intake from HPF (PercHPF) during binge episodes relative to restricting episodes. Four linear regression models tested HPF intake (KcalHPF and PercHPF) during both episode types (binge and restricting) as predictors of respective episode frequency. RESULTS There was a significant difference between median KcalHPF (1846.6 vs. 279.6; Z = -13.38, p < .001) and PercHPF during binge compared to restricting episodes (95% vs. 61%; Z = -7.35, p < .001). Regression analyses demonstrated that KcalHPF during binge episodes was significantly associated with binge episode frequency (B = 0.002; p < .001), but not PercHPF (p = .287). DISCUSSION Results suggest that HPF may be primarily consumed during binge episodes among individuals with BN, and may be associated with greater binge-eating frequency. PUBLIC SIGNIFICANCE Findings from the current study support an underlying assumption of theoretical models of binge eating, suggesting that highly rewarding, hyper-palatable foods (HPF), may constitute the vast majority of energy intake during binge-eating episodes. Additionally, a substantial amount of energy intake from HPF may occur during restricting episodes among people with bulimia nervosa. Greater HPF intake during binge eating may also be associated with binge-eating severity.
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Affiliation(s)
- Kayla Bjorlie
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA.,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | | | - Brianne N Richson
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | - Sarah N Johnson
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA
| | - Tera L Fazzino
- Department of Psychology, University of Kansas, Lawrence, Kansas, USA.,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA
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17
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van Ruiten CC, Ten Kulve JS, van Bloemendaal L, Nieuwdorp M, Veltman DJ, IJzerman RG. Eating behavior modulates the sensitivity to the central effects of GLP-1 receptor agonist treatment: a secondary analysis of a randomized trial. Psychoneuroendocrinology 2022; 137:105667. [PMID: 35033928 DOI: 10.1016/j.psyneuen.2022.105667] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 12/07/2021] [Accepted: 01/09/2022] [Indexed: 10/19/2022]
Abstract
AIMS We investigated if individuals with higher emotional eating scores are less sensitive to the effects of a GLP-1RA on central responses to food cues. Additionally, we investigated the associations of higher external and restraint eating scores with the sensitivity to the central effects of GLP-1RA. METHODS This secondary analysis of a randomized crossover study in people with obesity and type 2 diabetes, consisted of two periods of 12-week treatment with liraglutide or insulin glargine. Using functional MRI, we assessed the relation between baseline eating behavior and the effects of the GLP-1RA liraglutide compared with insulin after 10 days and 12 weeks of treatment on brain responses to food cues. RESULTS After 10 days, higher emotional eating scores were associated with less pronounced GLP-1RA induced reductions in brain responses to food pictures in the amygdala, insula and caudate nucleus. In addition, higher emotional eating scores tended to be associated with less pronounced GLP-1RA increases in brain responses to chocolate milk receipt in the caudate nucleus and insula. After 12 weeks, there were no significant associations between emotional eating scores and liraglutide-induced changes in brain responses to food cues. After 10 days, baseline external eating scores were associated with less pronounced GLP-1RA induced reductions in brain responses to food pictures in the insula, amygdala and orbitofrontal cortex. After 12 weeks, baseline restraint eating scores were associated with more GLP-1RA induced reductions in brain responses to food pictures in the insula and caudate nucleus, and with more GLP-1RA induced reductions in brain responses to the anticipation of chocolate milk in the caudate nucleus. CONCLUSIONS Our findings indicate that individuals with higher baseline emotional eating scores are less sensitive to the central effect of GLP-1RA treatment. Additionally, external eating may also decrease, whereas restraint eating may increase the sensitivity to the treatment effects of GLP-1RAs. These insights may help to optimize treatment strategies for obesity and to select patient groups with better efficacy of GLP-1RA treatment.
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Affiliation(s)
- Charlotte C van Ruiten
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Jennifer S Ten Kulve
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Liselotte van Bloemendaal
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Location VU University Medical Center, Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Center, Location AMC, Amsterdam, The Netherlands; Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam, The Netherlands, Amsterdam University Medical Center, Location AMC, Amsterdam, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, The Netherlands
| | - Richard G IJzerman
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Location VU University Medical Center, Amsterdam, The Netherlands
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18
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van Ruiten CC, Veltman DJ, Nieuwdorp M, IJzerman RG. Brain Activation in Response to Low-Calorie Food Pictures: An Explorative Analysis of a Randomized Trial With Dapagliflozin and Exenatide. Front Endocrinol (Lausanne) 2022; 13:863592. [PMID: 35600575 PMCID: PMC9114766 DOI: 10.3389/fendo.2022.863592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND AND AIM Sodium-glucose cotransporter-2 inhibitors (SGLT2i) induce less weight loss than expected. This may be explained by SGLT2i-induced alterations in central reward and satiety circuits, contributing to increased appetite and food intake. This hyperphagia may be specific to high-calorie foods. Glucagon-like peptide-1 receptor agonists (GLP-1RA) are associated with lower preferences for high-calorie foods, and with decreased activation in areas regulating satiety and reward in response to high-calorie food pictures, which may reflect this lower preference for energy-dense foods. To optimize treatment, we need a better understanding of how intake is controlled, and how [(un)healthy] food choices are made. The aim of the study was to investigate the effects of dapagliflozin, exenatide, and their combination on brain activation in response to low-calorie food pictures. METHODS We performed an exploratory analysis of a larger, 16-week, double-blind, randomized, placebo-controlled trial. Sixty-eight subjects with obesity and type 2 diabetes were randomized to dapagliflozin, exenatide, dapagliflozin plus exenatide, or double placebo. Using functional MRI, the effects of treatments on brain responses to low-calorie food pictures were assessed after 10 days and 16 weeks. RESULTS Dapagliflozin versus placebo decreased activity in response to low-calorie food pictures, in the caudate nucleus, insula, and amygdala after 10 days, and in the insula after 16 weeks. Exenatide versus placebo increased activation in the putamen in response to low-calorie food pictures after 10 days, but not after 16 weeks. Dapagliflozin plus exenatide versus placebo had no effect on brain responses, but after 10 days dapagliflozin plus exenatide versus dapagliflozin increased activity in the insula and amygdala in response to low-calorie food pictures. CONCLUSION Dapagliflozin decreased activation in response to low-calorie food pictures, which may reflect a specific decreased preference for low-calorie foods, in combination with the previously found increased activation in response to high-calorie foods, which may reflect a specific preference for high-calorie foods, and may hamper SGLT2i-induced weight loss. Exenatide treatment increased activation in response to low-calorie foods. Combination treatment may lead to more favorable brain responses to low-calorie food cues, as we observed that the dapagliflozin-induced decreased response to low-calorie food pictures had disappeared.
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Affiliation(s)
- Charlotte C. van Ruiten
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Vrije University Medical Center (VUmc), Amsterdam, Netherlands
- *Correspondence: Charlotte C. van Ruiten,
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam University Medical Center, Vrije University Medical Center (VUmc), Amsterdam, Netherlands
| | - Max Nieuwdorp
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Vrije University Medical Center (VUmc), Amsterdam, Netherlands
- Department of Vascular Medicine, Amsterdam University Medical Center (AMC), Amsterdam, Netherlands
| | - Richard G. IJzerman
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Vrije University Medical Center (VUmc), Amsterdam, Netherlands
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19
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The role of the nucleus accumbens and ventral pallidum in feeding and obesity. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110394. [PMID: 34242717 DOI: 10.1016/j.pnpbp.2021.110394] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 05/31/2021] [Accepted: 06/29/2021] [Indexed: 02/04/2023]
Abstract
Obesity is a growing global epidemic that stems from the increasing availability of highly-palatable foods and the consequent enhanced calorie consumption. Extensive research has shown that brain regions that are central to reward seeking modulate feeding and evidence linking obesity to pathology in such regions have recently started to accumulate. In this review we focus on the contribution of two major interconnected structures central to reward processing, the nucleus accumbens and the ventral pallidum, to obesity. We first review the known literature linking these structures to feeding behavior, then discuss recent advances connecting pathology in the nucleus accumbens and ventral pallidum to obesity, and finally examine the similarities and differences between drug addiction and obesity in the context of these two structures. The understanding of how pathology in brain regions involved in reward seeking and consumption may drive obesity and how mechanistically similar obesity and addiction are, is only now starting to be revealed. We hope that future research will advance knowledge in the field and open new avenues to studying and treating obesity.
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20
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Abstract
PURPOSE OF REVIEW The current article discusses five neural vulnerability theories for weight gain and reviews evidence from prospective studies using imaging and behavioral measures reflecting neural function, as well as randomized experiments with humans and animals that are consistent or inconsistent with these theories. RECENT FINDINGS Recent prospective imaging studies examining predictors of weight gain and response to obesity treatment, and repeated-measures imaging studies before and after weight gain and loss have advanced knowledge of etiologic processes and neural plasticity resulting from weight change. Overall, data provide strong support for the incentive sensitization theory of obesity and moderate support for the reward surfeit theory, inhibitory control deficit theory, and dynamic vulnerability model of obesity, which attempted to synthesize the former theories into a single etiologic model. Data provide little support for the reward deficit theory. Important directions for future studies are delineated.
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Affiliation(s)
- Eric Stice
- Department of Psychiatry, Stanford University, Stanford, CA, 94305, USA.
| | - Sonja Yokum
- Oregon Research Institute, Eugene, OR, 97403, USA
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21
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Tan Z, Li G, Zhang W, Wang J, Hu Y, Li H, Zhang L, Lv S, Jia Z, Li X, Han Y, Cui G, Manza P, Volkow ND, Nie Y, Ji G, Wang GJ, Zhang Y. Obese Individuals Show Disrupted Dynamic Functional Connectivity between Basal Ganglia and Salience Networks. Cereb Cortex 2021; 31:5676-5685. [PMID: 34240115 DOI: 10.1093/cercor/bhab190] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/11/2021] [Accepted: 06/02/2021] [Indexed: 11/14/2022] Open
Abstract
Previous functional magnetic resonance imaging (fMRI) studies have showed obesity (OB)-related alterations in intrinsic functional connectivity (FC) within and between different resting-state networks (RSNs). However, few studies have examined dynamic functional connectivity (DFC). Thus, we employed resting-state fMRI with independent component analysis (ICA) and DFC analysis to investigate the alterations in FC within and between RSNs in 56 individuals with OB and 46 normal-weight (NW) controls. ICA identified six RSNs, including basal ganglia (BG), salience network (SN), right executive control network/left executive control network, and anterior default-mode network (aDMN)/posterior default-mode network. The DFC analysis identified four FC states. OB compared with NW had more occurrences and a longer mean dwell time (MDT) in state 2 (positive connectivity of BG with other RSN) and also had higher FC of BG-SN in other states. Body mass index was positively correlated with MDT and FCs of BG-aDMN (state 2) and BG-SN (state 4). DFC analysis within more refined nodes of RSNs showed that OB had more occurrences and a longer MDT in state 1 in which caudate had positive connections with the other network nodes. The findings suggest an association between caudate-related and BG-related positive FC in OB, which was not revealed by traditional FC analysis, highlighting the utility of adding DFC to the more conventional methods.
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Affiliation(s)
- Zongxin Tan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Guanya Li
- 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
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Hao Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Lei Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Shuai Lv
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Zhenzhen Jia
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Xiaohua Li
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi 710038, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 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, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
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Difference in neural reactivity to taste stimuli and visual food stimuli in neural circuits of ingestive behavior. Brain Imaging Behav 2021; 14:1395-1405. [PMID: 30734916 DOI: 10.1007/s11682-019-00048-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Brain responses to sight and taste of foods have been examined to provide insights into neural substrates of ingestive behavior. Since the brain response to food images and taste stimuli are overlapped in neural circuits of eating behavior, each food cue would influence eating behavior in a partly similar manner. However, because few studies have examined the differences in brain responses to each food cue, the variation in neural sensitivity to these food cues or specific brain response to each food cue remain unclear. We thus performed a repeated measures functional magnetic resonance imaging (fMRI) study to examine brain responses to the image and taste of various foods for direct comparisons of the brain response to each food cue. Thirty-five healthy adolescents (age: 14-19 years [mean: 17 years], males = 16, females = 19) underwent two fMRI scans, a food image fMRI scan for measurement of brain response to food images, and a taste stimulus fMRI scan for measurement of brain response to taste stimuli. Food images evoked brain responses in the visual information processing regions, anterior insula, striatum, and pre-/postcentral gyrus compared to taste stimuli, whereas taste stimuli induced brain responses in the mid-insula and limbic regions compared to food images. These results imply that food images tend to evoke brain responses in regions associated with food reward anticipation and food choice, whereas taste stimuli tend to induce brain responses in regions involved in assigning existent incentive values to foods based on existent energy homeostatic status.
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Ludwig M, Richter M, Goltermann J, Redlich R, Repple J, Flint C, Grotegerd D, Koch K, Leehr EJ, Meinert S, Hülsmann C, Enneking V, Kugel H, Hahn T, Baune BT, Dannlowski U, Opel N. Novelty seeking is associated with increased body weight and orbitofrontal grey matter volume reduction. Psychoneuroendocrinology 2021; 126:105148. [PMID: 33513455 DOI: 10.1016/j.psyneuen.2021.105148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/18/2021] [Accepted: 01/18/2021] [Indexed: 10/22/2022]
Abstract
Novelty seeking (NS) has previously been identified as a personality trait that is associated with elevated body mass index (BMI) and obesity. Of note, both obesity and reduced impulse control - a core feature of NS - have previously been associated with grey matter volume (GMV) reductions in the orbitofrontal cortex (OFC). Yet, it remains unknown, if body weight-related grey matter decline in the OFC might be explained by higher levels of NS. To address this question, we studied associations between NS, BMI and brain structure in 355 healthy subjects. Brain images were pre-processed using voxel-based morphometry (VBM). BMI was calculated from self-reported height and weight. The Tridimensional Personality Questionnaire (TPQ) was used to assess NS. NS and BMI were associated positively (r = .137, p = .01) with NS being a significant predictor of BMI (B = 0.172; SE B = 0.05; ß = 0.184; p = 0.001). Significant associations between BMI and GMV specifically in the OFC (x = -44, y = 56, z = -2, t(350) = 4.34, k = 5, pFWE = 0.011) did not uphold when correcting for NS in the model. In turn, a significant negative association between NS and OFC GMV was found independent of BMI (x = -2, y = 48, z = -10, t(349) = 4.42, k = 88, pFWE = 0.008). Body mass-related grey matter decrease outside the OFC could not be attributed to NS. Our results suggest that body-weight-related orbitofrontal grey matter reduction can at least partly be linked to higher levels of NS. Given the pivotal role of the OFC in overweight as well as cognitive domains such as impulse inhibition, executive control and reward processing, its association with NS seems to provide a tenable neurobiological correlate for future research.
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Affiliation(s)
- Marius Ludwig
- Department of Psychiatry, University of Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Germany
| | | | - Ronny Redlich
- Department of Psychiatry, University of Münster, Germany; Department of Psychology, University of Halle, Germany
| | | | - Claas Flint
- Department of Psychiatry, University of Münster, Germany; Department of Mathematics and Computer Science, University of Münster, Germany
| | | | - Katharina Koch
- Department of Psychiatry, University of Münster, Germany
| | | | | | | | | | - Harald Kugel
- Institute of Clinical Radiology, University of Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Germany; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Germany.
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Sigala DM, Stanhope KL. An Exploration of the Role of Sugar-Sweetened Beverage in Promoting Obesity and Health Disparities. Curr Obes Rep 2021; 10:39-52. [PMID: 33411311 PMCID: PMC7788552 DOI: 10.1007/s13679-020-00421-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/17/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The mechanistic role of sugar-sweetened beverage (SSB) in the etiology of obesity is undetermined. We address whether, compared to other foods, does consumption of SSB (1) automatically lead to failure to compensate for the energy it contains? (2) fail to elicit homeostatic hormone responses? (3) promote hedonic eating through activation of the brain's reward pathways? We followed the evidence to address: (4) Would restriction of targeted marketing of SSB and other unhealthy foods to vulnerable populations decrease their prevalence of obesity? RECENT FINDINGS The data are lacking to demonstrate that SSB consumption promotes body weight gain compared with isocaloric consumption of other beverages or foods and that this is linked to its failure to elicit adequate homeostatic hormone responses. However, more recent data have linked body weight gain to reward activation in the brain to palatable food cues and suggest that sweet tastes and SSB consumption heightens the reward response to food cues. Studies investigating the specificity of these responses have not been conducted. Nevertheless, the current data provide a biological basis to the body of evidence demonstrating that the targeted marketing (real life palatable food cues) of SSB and other unhealthy foods to vulnerable populations, including children and people of color and low socioeconomic status, is increasing their risk for obesity. While the mechanisms for the association between SSB consumption and body weight gain cannot be identified, current scientific evidence strongly suggests that proactive environmental measures to reduce exposure to palatable food cues in the form of targeting marketing will decrease the risk of obesity in vulnerable populations.
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Affiliation(s)
- Desiree M. Sigala
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California (UC), Davis, 2211 VM3B, Davis, CA 95616 USA
| | - Kimber L. Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California (UC), Davis, 2211 VM3B, Davis, CA 95616 USA
- Basic Sciences, Touro University of California, Vallejo, CA USA
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25
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Metaplasticity in the Ventral Pallidum as a Potential Marker for the Propensity to Gain Weight in Chronic High-Calorie Diet. J Neurosci 2020; 40:9725-9735. [PMID: 33199503 DOI: 10.1523/jneurosci.1809-20.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 10/03/2020] [Accepted: 10/06/2020] [Indexed: 12/30/2022] Open
Abstract
A major driver of obesity is the increasing palatability of processed foods. Although reward circuits promote the consumption of palatable food, their involvement in obesity remains unclear. The ventral pallidum (VP) is a key hub in the reward system that encodes the hedonic aspects of palatable food consumption and participates in various proposed feeding circuits. However, there is still no evidence for its involvement in developing diet-induced obesity. Here we examine, using male C57BL6/J mice and patch-clamp electrophysiology, how chronic high-fat high-sugar (HFHS) diet changes the physiology of the VP and whether mice that gain the most weight differ in their VP physiology from others. We found that 10-12 weeks of HFHS diet hyperpolarized and decreased the firing rate of VP neurons without a major change in synaptic inhibitory input. Within the HFHS group, the top 33% weight gainers (WGs) had a more hyperpolarized VP with longer latency to fire action potentials on depolarization compared with bottom 33% of weight gainers (i.e., non-weight gainers). WGs also showed synaptic potentiation of inhibitory inputs both at the millisecond and minute ranges. Moreover, we found that the tendency to potentiate the inhibitory inputs to the VP might exist in overeating mice even before exposure to HFHS, thus making it a potential property of being an overeater. These data point to the VP as a critical player in obesity and suggest that hyperpolarized membrane potential of, and potentiated inhibitory inputs to, VP neurons may play a significant role in promoting the overeating of palatable food.SIGNIFICANCE STATEMENT In modern world, where highly palatable food is readily available, overeating is often driven by motivational, rather than metabolic, needs. It is thus conceivable that reward circuits differ between obese and normal-weight individuals. But is such difference, if it exists, innate or does it develop with overeating? Here we reveal synaptic properties in the ventral pallidum, a central hub of reward circuits, that differ between mice that gain the most and the least weight when given unlimited access to highly palatable food. We show that these synaptic differences also exist without exposure to palatable food, potentially making them innate properties that render some more susceptible than others to overeat. Thus, the propensity to overeat may have a strong innate component embedded in reward circuits.
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Morales I, Berridge KC. 'Liking' and 'wanting' in eating and food reward: Brain mechanisms and clinical implications. Physiol Behav 2020; 227:113152. [PMID: 32846152 PMCID: PMC7655589 DOI: 10.1016/j.physbeh.2020.113152] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 01/02/2023]
Abstract
It is becoming clearer how neurobiological mechanisms generate 'liking' and 'wanting' components of food reward. Mesocorticolimbic mechanisms that enhance 'liking' include brain hedonic hotspots, which are specialized subregions that are uniquely able to causally amplify the hedonic impact of palatable tastes. Hedonic hotspots are found in nucleus accumbens medial shell, ventral pallidum, orbitofrontal cortex, insula cortex, and brainstem. In turn, a much larger mesocorticolimbic circuitry generates 'wanting' or incentive motivation to obtain and consume food rewards. Hedonic and motivational circuitry interact together and with hypothalamic homeostatic circuitry, allowing relevant physiological hunger and satiety states to modulate 'liking' and 'wanting' for food rewards. In some conditions such as drug addiction, 'wanting' is known to dramatically detach from 'liking' for the same reward, and this may also occur in over-eating disorders. Via incentive sensitization, 'wanting' selectively becomes higher, especially when triggered by reward cues when encountered in vulnerable states of stress, etc. Emerging evidence suggests that some cases of obesity and binge eating disorders may reflect an incentive-sensitization brain signature of cue hyper-reactivity, causing excessive 'wanting' to eat. Future findings on the neurobiological bases of 'liking' and 'wanting' can continue to improve understanding of both normal food reward and causes of clinical eating disorders.
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Affiliation(s)
- Ileana Morales
- Department of Psychology, University of Michigan, Ann Arbor, Michigan 48109-1043, United States.
| | - Kent C Berridge
- Department of Psychology, University of Michigan, Ann Arbor, Michigan 48109-1043, United States
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27
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Luo Q, Zhang L, Huang CC, Zheng Y, Kanen JW, Zhao Q, Yao Y, Quinlan EB, Jia T, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Walter H, Whelan R, Sahakian BJ, Schumann G, Li F, Feng J, Desrivières S, Robbins TW. Association between childhood trauma and risk for obesity: a putative neurocognitive developmental pathway. BMC Med 2020; 18:278. [PMID: 33054810 PMCID: PMC7559717 DOI: 10.1186/s12916-020-01743-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 08/11/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Childhood trauma increases the risk for adult obesity through multiple complex pathways, and the neural substrates are yet to be determined. METHODS Participants from three population-based neuroimaging cohorts, including the IMAGEN cohort, the UK Biobank (UKB), and the Human Connectome Project (HCP), were recruited. Voxel-based morphometry analysis of both childhood trauma and body mass index (BMI) was performed in the longitudinal IMAGEN cohort; validation of the findings was performed in the UKB. White-matter connectivity analysis was conducted to study the structural connectivity between the identified brain region and subdivisions of the hypothalamus in the HCP. RESULTS In IMAGEN, a smaller frontopolar cortex (FPC) was associated with both childhood abuse (CA) (β = - .568, 95%CI - .942 to - .194; p = .003) and higher BMI (β = - .086, 95%CI - .128 to - .043; p < .001) in male participants, and these findings were validated in UKB. Across seven data collection sites, a stronger negative CA-FPC association was correlated with a higher positive CA-BMI association (β = - 1.033, 95%CI - 1.762 to - .305; p = .015). Using 7-T diffusion tensor imaging data (n = 156), we found that FPC was the third most connected cortical area with the hypothalamus, especially the lateral hypothalamus. A smaller FPC at age 14 contributed to higher BMI at age 19 in those male participants with a history of CA, and the CA-FPC interaction enabled a model at age 14 to account for some future weight gain during a 5-year follow-up (variance explained 5.8%). CONCLUSIONS The findings highlight that a malfunctioning, top-down cognitive or behavioral control system, independent of genetic predisposition, putatively contributes to excessive weight gain in a particularly vulnerable population, and may inform treatment approaches.
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Affiliation(s)
- Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
- Developmental and Behavioral Pediatric Department & Child Primary Care Department, Ministry of Education Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, People's Republic of China
- State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Human Phenome Institute, Fudan University, Shanghai, 200433, People's Republic of China
| | - Lingli Zhang
- Developmental and Behavioral Pediatric Department & Child Primary Care Department, Ministry of Education Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, People's Republic of China
| | - Chu-Chung Huang
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, 2005 Songhu Road, Shanghai, 200438, People's Republic of China
| | - Jonathan W Kanen
- Departments of Psychiatry and Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Qi Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
| | - Ye Yao
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
| | - Erin B Quinlan
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | | | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, Commissariat à L'énergie Atomique, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2-12, Berlin, Germany
| | - Jean-Luc Martinot
- Institute National de la Santé et de la Recherche Médicale Unit 1000, Neuroimaging and Psychiatry, University Paris Sud-Paris Saclay, University Paris Descartes, Paris, France
- Service Hospitalier Frédéric Joliot, Orsay, France
- Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institute National de la Santé et de la Recherche Médicale Unit 1000, Neuroimaging and Psychiatry, University Paris Sud-Paris Saclay, University Paris Descartes, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
- Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Währinger Gürtel, Vienna, Austria
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Barbara J Sahakian
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
- Developmental and Behavioral Pediatric Department & Child Primary Care Department, Ministry of Education Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, People's Republic of China
- Departments of Psychiatry and Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Fei Li
- Developmental and Behavioral Pediatric Department & Child Primary Care Department, Ministry of Education Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, People's Republic of China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China.
- Department of Computer Science, University of Warwick, Coventry, UK.
- Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, People's Republic of China.
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Trevor W Robbins
- Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, People's Republic of China
- Departments of Psychiatry and Psychology and the Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
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28
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A L, Sf M, Fh W, J M, J B. Love at first taste: Activation in reward-related brain regions during single-trial naturalistic appetitive conditioning in humans. Physiol Behav 2020; 224:113014. [PMID: 32553642 DOI: 10.1016/j.physbeh.2020.113014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/09/2020] [Accepted: 06/12/2020] [Indexed: 12/30/2022]
Abstract
Palatable food can trigger appetitive responses, such as salivation and approach tendencies. Though evolutionarily functional, these conditioned responses can encourage overeating and obesity when food is abundant. The current study examines the neural correlates of 'denovo' Pavlovian appetitive conditioning, pairing one class of unknown objects (conditioned stimuli, CS) with their sweet taste (unconditioned stimulus, US) during a single trial. To do so, 23 participants consumed unknown (marzipan) objects of one particular color (CS+) while only interacting with control stimuli of different color and shape (CS-). After this single-trial conditioning procedure, participants viewed and rated images of the marzipan figures and the control objects during functional magnetic resonance imaging (fMRI). Relative to the CS-, the CS+ elicited stronger activation in the dorsal striatum, a brain region associated with cue-reward coupling. Furthermore, conditioning effects in subjective 'craving', defined as increased palatability and desire to eat, were observed, and these were positively related to conditioning effects in the amygdala, a brain region associated with the need-dependent value of a reward. Thus, the study identified reward-related brain regions involved in single-trial appetitive learning, thereby providing a potential mechanism that contributes to the etiology of food craving. These findings might help to understand clinically relevant food cravings in individuals with eating or weight related concerns and might support the development of extinction based treatments.
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Affiliation(s)
- Lender A
- Department of Psychology, Centre for Cognitive Neuroscience, Paris-Lodron-University of Salzburg, Hellbrunner Str. 34, 5020 Salzburg, Austria.
| | - Miedl Sf
- Department of Psychology, Division of Clinical Psychology and Psychopathology, Paris-Lodron-University of Salzburg, Hellbrunner Str. 34, 15020 Salzburg, Austria
| | - Wilhelm Fh
- Department of Psychology, Division of Clinical Psychology and Psychopathology, Paris-Lodron-University of Salzburg, Hellbrunner Str. 34, 15020 Salzburg, Austria
| | - Miller J
- Department of Psychology, Centre for Cognitive Neuroscience, Paris-Lodron-University of Salzburg, Hellbrunner Str. 34, 5020 Salzburg, Austria
| | - Blechert J
- Department of Psychology, Centre for Cognitive Neuroscience, Paris-Lodron-University of Salzburg, Hellbrunner Str. 34, 5020 Salzburg, Austria
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29
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Gutierrez R, Fonseca E, Simon SA. The neuroscience of sugars in taste, gut-reward, feeding circuits, and obesity. Cell Mol Life Sci 2020; 77:3469-3502. [PMID: 32006052 PMCID: PMC11105013 DOI: 10.1007/s00018-020-03458-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 01/06/2020] [Accepted: 01/10/2020] [Indexed: 12/19/2022]
Abstract
Throughout the animal kingdom sucrose is one of the most palatable and preferred tastants. From an evolutionary perspective, this is not surprising as it is a primary source of energy. However, its overconsumption can result in obesity and an associated cornucopia of maladies, including type 2 diabetes and cardiovascular disease. Here we describe three physiological levels of processing sucrose that are involved in the decision to ingest it: the tongue, gut, and brain. The first section describes the peripheral cellular and molecular mechanisms of sweet taste identification that project to higher brain centers. We argue that stimulation of the tongue with sucrose triggers the formation of three distinct pathways that convey sensory attributes about its quality, palatability, and intensity that results in a perception of sweet taste. We also discuss the coding of sucrose throughout the gustatory pathway. The second section reviews how sucrose, and other palatable foods, interact with the gut-brain axis either through the hepatoportal system and/or vagal pathways in a manner that encodes both the rewarding and of nutritional value of foods. The third section reviews the homeostatic, hedonic, and aversive brain circuits involved in the control of food intake. Finally, we discuss evidence that overconsumption of sugars (or high fat diets) blunts taste perception, the post-ingestive nutritional reward value, and the circuits that control feeding in a manner that can lead to the development of obesity.
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Affiliation(s)
- Ranier Gutierrez
- Laboratory of Neurobiology of Appetite, Department of Pharmacology, CINVESTAV, 07360, Mexico City, Mexico.
| | - Esmeralda Fonseca
- Laboratory of Neurobiology of Appetite, Department of Pharmacology, CINVESTAV, 07360, Mexico City, Mexico
| | - Sidney A Simon
- Department of Neurobiology, Duke University Medical Center, Durham, NC, 27710, USA
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30
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Zhang P, Wu GW, Yu FX, Liu Y, Li MY, Wang Z, Ding HY, Li XS, Wang H, Jin M, Zhang ZY, Zhao PF, Li J, Yang ZH, Lv H, Zhang ZT, Wang ZC. Abnormal Regional Neural Activity and Reorganized Neural Network in Obesity: Evidence from Resting-State fMRI. Obesity (Silver Spring) 2020; 28:1283-1291. [PMID: 32510870 DOI: 10.1002/oby.22839] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 04/02/2020] [Accepted: 04/05/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE This study aimed to investigate regional neural activity and regulation of patterns in the reorganized neural network of obesity and explore the correlation between brain activities and eating behavior. METHODS A total of 23 individuals with obesity and 23 controls with normal weight were enrolled. Functional magnetic resonance imaging (fMRI) data were acquired using 3.0-T MRI. Amplitude of low-frequency fluctuation and functional connectivity (FC) analyses were conducted using Data Processing Assistant for resting-state fMRI and Resting-State fMRI Data Analysis Toolkit (REST). RESULTS The group with obesity showed increased amplitude of low-frequency values in left fusiform gyrus/amygdala, inferior temporal gyrus (ITG), hippocampus/parahippocampal gyrus, and bilateral caudate but decreased values in right superior temporal gyrus. The group with obesity showed increased FC between left caudate and right superior temporal gyrus, left fusiform gyrus/amygdala and left ITG, right caudate and left fusiform gyrus/amygdala, and right caudate and left hippocampus/parahippocampal gyrus. Dutch Eating Behavior Questionnaire-Emotional scores were positively correlated with FC between left hippocampus/parahippocampal gyrus and right caudate but negatively correlated with FC between left fusiform gyrus/amygdala and left ITG. CONCLUSIONS The study indicated the reorganized neural network presented as a bilateral cross-regulation pattern across hemispheres between reward and various appetite-related functional processing, thus affecting emotional and external eating behavior. These results could provide further evidence for neuropsychological underpinnings of food intake and their neuromodulatory therapeutic potential in obesity.
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Affiliation(s)
- Peng Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Guo-Wei Wu
- School of Language Science and Art, Jiang Su Normal University, Xuzhou, China
| | - Feng-Xia Yu
- Medical Imaging Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yang Liu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Meng-Yi Li
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Zheng Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - He-Yu Ding
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiao-Shuai Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hao Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Mei Jin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zheng-Yu Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Peng-Fei Zhao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zheng-Han Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhong-Tao Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Zhen-Chang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Szabo‐Reed AN, Martin LE, Hu J, Yeh H, Powell J, Lepping RJ, Patrician TM, Breslin FJ, Donnelly JE, Savage CR. Modeling interactions between brain function, diet adherence behaviors, and weight loss success. Obes Sci Pract 2020; 6:282-292. [PMID: 32523717 PMCID: PMC7278911 DOI: 10.1002/osp4.403] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 01/06/2020] [Accepted: 01/07/2020] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Obesity is linked to altered activation in reward and control brain circuitry; however, the associated brain activity related to successful or unsuccessful weight loss (WL) is unclear. METHODS Adults with obesity (N = 75) completed a baseline functional magnetic resonance imaging (fMRI) scan before entering a WL intervention (ie,3-month diet and physical activity [PA] program). We conducted an exploratory analysis to identify the contributions of baseline brain activation, adherence behavior patterns, and the associated connections to WL at the conclusion of a 3-month WL intervention. Food cue-reactivity brain regions were functionally identified using fMRI to index brain activation to food vs nonfood cues. Food consumption, PA, and class attendance were collected weekly during the 3-month intervention. RESULTS The left middle frontal gyrus (L-MFG, BA 46) and right middle frontal gyrus (R-MFG; BA 9) were positively activated when viewing food compared with nonfood images. Structural equation modeling with bootstrapping was used to investigate a hypothesized path model and revealed the following significant paths: (1) attendance to 3-month WL, (2) R-MFG to attendance, and (3) indirect effects of R-MFG through attendance on WL. CONCLUSION Findings suggest that brain activation to appetitive food cues predicts future WL through mediating session attendance, diet, and PA. This study contributes to the growing evidence of the importance of food cue reactivity and self-regulation brain regions and their impact on WL outcomes.
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Affiliation(s)
- Amanda N. Szabo‐Reed
- Department of Internal MedicineUniversity of Kansas Medical CenterKansas CityKansas
| | - Laura E. Martin
- Department of Population Health HealthUniversity of Kansas Medical CenterKansas CityKansas
- Hoglund Brain Imaging CenterUniversity of Kansas Medical CenterKansas CityKansas
| | - Jinxiang Hu
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Hung‐Wen Yeh
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Joshua Powell
- Graduate School of Social WorkUniversity of DenverDenverColorado
| | - Rebecca J. Lepping
- Hoglund Brain Imaging CenterUniversity of Kansas Medical CenterKansas CityKansas
| | - Trisha M. Patrician
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
| | - Florance J. Breslin
- Center for Brain, Biology and BehaviorUniversity of Nebraska‐LincolnLincolnNebraska
| | - Joseph E. Donnelly
- Department of Internal MedicineUniversity of Kansas Medical CenterKansas CityKansas
| | - Cary R. Savage
- Department of BiostatisticsUniversity of Kansas Medical CenterKansas CityKansas
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Sadler JR, Shearrer GE, Papantoni A, Gordon-Larsen P, Burger KS. Behavioral and physiological characteristics associated with learning performance on an appetitive probabilistic selection task. Physiol Behav 2020; 223:112984. [PMID: 32473929 DOI: 10.1016/j.physbeh.2020.112984] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 05/20/2020] [Accepted: 05/23/2020] [Indexed: 01/24/2023]
Abstract
Individuals show meaningful variability in food choices. Choices are affected by individual differences in sensitivity to food reward and punishment, so understanding correlates of response to food reinforcement can help characterize food choices. Here, we examined behavioral and physiological correlates of individual differences in how individuals learn from food reward and punishment, as measured by performance on an appetitive probabilistic selection task that used sweet and bitter tastes as reinforcement. Sensitivity to food reward, sensitivity to food punishment, and overall learning performance were measured in 89 adults. Multivariate linear regressions were used to test if variables including body mass index (BMI), external eating, emotional eating, behavioral inhibition/behavioral activation scales (BIS/BAS), and perceived sensitivity to reward and punishment (SPQ/SRQ) were associated with measures of learning performance. External eating (β=-.035, p=.019), BIS (β=-.066, p=.004), and SPQ (β=.003, p=.023) were associated with overall learning performance. BMI (β=-.000, p=.012), emotional eating (β=.055, p=.006), and external eating (β=-.062, p=.004) were associated with sensitivity to food reward. No variables were associated with sensitivity to food punishment. In post hoc analyses, the interaction of sex and SPQ was associated with overall performance (β=-.005, p=.025), such that the relationship was positive in women only (β=.006, p=0.002). Results support that, controlling for key individual characteristics, BMI and susceptibility to food cues are associated with lower sensitivity to food reward, which may affect future food choices and eating behavior.
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Affiliation(s)
- Jennifer R Sadler
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Grace E Shearrer
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Afroditi Papantoni
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Kyle S Burger
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Derman RC, Ferrario CR. Affective Pavlovian motivation is enhanced in obesity susceptible populations: Implications for incentive motivation in obesity. Behav Brain Res 2020; 380:112318. [DOI: 10.1016/j.bbr.2019.112318] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 08/20/2019] [Accepted: 10/18/2019] [Indexed: 10/25/2022]
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Masterson TD, Bobak C, Rapuano KM, Shearrer GE, Gilbert-Diamond D. Association between regional brain volumes and BMI z-score change over one year in children. PLoS One 2019; 14:e0221995. [PMID: 31536539 PMCID: PMC6752809 DOI: 10.1371/journal.pone.0221995] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 08/19/2019] [Indexed: 11/19/2022] Open
Abstract
PURPOSE Associations between brain region volume and weight status have been observed in children cross-sectionally. However, it is unclear if differences in brain region volume precede weight gain. METHODS Two high-quality structural brain images were obtained approximately one year apart in 53 children aged 9-12 years old. Children's height and weight were also measured at each scan. Structural images were processed using the FreeSurfer software-package providing volume measures for regions of interest including the entorhinal cortex, nucleus accumbens, and hippocampus. Age- and sex-adjusted BMI z-scores (BMIz) were calculated at both timepoints. The association between brain region volume and BMIz was examined cross-sectionally using linear regression and longitudinally using structural equation modeling. All models were adjusted by estimated cranial volume to account for individual variation in head size and were corrected for multiple comparisons (pFDR<0.05). RESULTS The sample of children was primarily healthy weight at baseline (79.78%). Cross-sectionally at the one-year follow-up, a positive relationship was observed between right hippocampal volume and BMIz (β = 0.43, 95% CI = (0.10, 0.77)). Longitudinally a negative relationship was observed between right entorhinal volume at baseline and BMIz at the one-year follow-up (β = -0.25, 95% CI = (-0.44, -0.07)). CONCLUSION These results suggest that measured volumes from certain regions of the brain that have been associated with BMI in adults are associated with both concurrent BMIz and BMIz change over one-year in a primarily healthy weight sample of children. As the entorhinal cortex integrates signals from both reward and control regions, this region may be particularly important to weight management during child development.
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Affiliation(s)
- Travis D. Masterson
- Department of Epidemiology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Carly Bobak
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Kristina M. Rapuano
- Department of Psychology, Yale University, New Haven, Connecticut, United States of America
| | - Grace E. Shearrer
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire, United States of America
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35
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Towards a Translational Approach to Food Addiction: Implications for Bulimia Nervosa. CURRENT ADDICTION REPORTS 2019. [DOI: 10.1007/s40429-019-00264-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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36
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Stice E, Burger K. Neural vulnerability factors for obesity. Clin Psychol Rev 2019; 68:38-53. [PMID: 30587407 PMCID: PMC6397091 DOI: 10.1016/j.cpr.2018.12.002] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 10/05/2018] [Accepted: 12/17/2018] [Indexed: 01/09/2023]
Abstract
Multiple theories identify neural vulnerability factors that may increase risk for overeating and weight gain. Early cross-sectional neuroimaging studies were unable to determine whether aberrant neural responsivity was a risk factor for or a consequence of overeating. More recent obesity risk, prospective, repeated-measures, and experimental neuroimaging studies with humans have advanced knowledge of etiologic processes and neural plasticity resulting from overeating. Herein, we review evidence from these more rigorous human neuroimaging studies, in conjunction with behavioral measures reflecting neural function, as well as experiments with animals that investigated neural vulnerability theories for overeating. Findings provide support for the reward surfeit theory that posits that individuals at risk for obesity initially show hyper-responsivity of reward circuitry to high-calorie food tastes, which theoretically drives elevated intake of such foods. However, findings provide little support for the reward deficit theory that postulates that individuals at risk for obesity show an initial hypo-responsivity of reward circuitry that motives overeating. Further, results provide support for the incentive sensitization and dynamic vulnerability theories that propose that overconsumption of high-calorie foods results in increased reward and attention region responsivity to cues that are associated with hedonic reward from intake of these high-calorie foods via conditioning, as well as a simultaneous decrease in reward region responsivity to high-calorie food tastes. However, there is little evidence that this induced reduction in reward region response to high-calorie food tastes drives an escalation in overeating. Finally, results provide support for the theory that an initial deficit in inhibitory control and a bias for immediate reward contribute to overconsumption of high-calorie foods. Findings imply that interventions that reduce reward and attention region responsivity to food cues and increase inhibitory control should reduce overeating and excessive weight gain, an intervention theory that is receiving support in randomized trials.
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Affiliation(s)
- Eric Stice
- Oregon Research Institute, Eugene, OR, USA.
| | - Kyle Burger
- University of North Carolina, Chapel Hill, NC, USA
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37
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Byrne JEM, Tremain H, Leitan ND, Keating C, Johnson SL, Murray G. Circadian modulation of human reward function: Is there an evidentiary signal in existing neuroimaging studies? Neurosci Biobehav Rev 2019; 99:251-274. [PMID: 30721729 DOI: 10.1016/j.neubiorev.2019.01.025] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 01/22/2019] [Accepted: 01/24/2019] [Indexed: 12/22/2022]
Abstract
Reward functioning in animals is modulated by the circadian system, but such effects are poorly understood in the human case. The aim of this study was to address this deficit via a systematic review of human fMRI studies measuring one or more proxies for circadian function and a neural reward outcome. A narrative synthesis of 15 studies meeting inclusion criteria identified 13 studies that show a circadian impact on the human reward system, with four types of proxy (circadian system biology, downstream circadian rhythms, circadian challenge, and time of day) associated with neural reward activation. Specific reward-related regions/networks subserving this effect included the medial prefrontal cortex, ventral striatum, putamen and default mode network. The circadian effect was observed in measures of both reward anticipation and reward receipt, with more consistent evidence for the latter. Findings are limited by marked heterogeneity across study designs. We encourage a systematic program of research investigating circadian-reward interactions as an adapted biobehavioural feature and as an aetiological mechanism in reward-related pathologies.
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Affiliation(s)
- Jamie E M Byrne
- Centre for Mental Health, Swinburne University of Technology, PO Box 312 John St Hawthorn, VIC, 3122, Australia
| | - Hailey Tremain
- Centre for Mental Health, Swinburne University of Technology, PO Box 312 John St Hawthorn, VIC, 3122, Australia
| | - Nuwan D Leitan
- Centre for Mental Health, Swinburne University of Technology, PO Box 312 John St Hawthorn, VIC, 3122, Australia
| | - Charlotte Keating
- Centre for Mental Health, Swinburne University of Technology, PO Box 312 John St Hawthorn, VIC, 3122, Australia
| | - Sheri L Johnson
- Department of Psychology, University of California, Berkeley, 3210, Tolman Hall, Berkeley, CA, 94720-1650, USA
| | - Greg Murray
- Centre for Mental Health, Swinburne University of Technology, PO Box 312 John St Hawthorn, VIC, 3122, Australia.
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38
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Sadler JR, Stice E, Shearrer GE, Burger KS. Individual differences in appeal of energy dense foods predicts lower body mass change during adolescence. Appetite 2019; 133:184-190. [PMID: 30408506 DOI: 10.1016/j.appet.2018.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 11/02/2018] [Accepted: 11/02/2018] [Indexed: 12/11/2022]
Abstract
Highly energy dense foods are often synonymous with high palatability, excess intake and weight gain. However, food preferences show individual differences. Food preferences are closely related to food intake, which can impact weight change over time. We examined whether the energy density of food images rated as appetizing and unappetizing foods related to baseline BMI and change in BMI over 3-year follow-up (n = 117; 45% Male, Baseline BMI: 21.1 ± 1.9. Participants completed hedonic visual analog scales (-100 to 100) ratings of 103 food images, and reported dietary intake at baseline, and had their height and weight directly measured over 3-year follow-up. Energy density (ED) of the food depicted in each image was calculated. For each participant, food images (kcal/g) were categorized into appetizing (32 images) and unappetizing foods (32 images) based on each individual's hedonic ratings. We observed significant interaction between energy density and hedonic value driven by an inverse relation between unappetizing food energy density and BMI change (p = 0.008). Specifically, participants who rated higher energy dense foods as unappetizing showed less weight gain (β= -0.83; p = 0.00052). There was no significant relation between the energy density of appetizing foods and weight change (p = 0.67), suggesting that dislike of highly energy dense foods more strongly associates with lower weight gain than preference for low energy dense foods. Post-hoc analyses revealed that individuals with a higher preference for low energy density foods showed less weight gain over 3-years (β = - 0.007, p = 0.02). Results support the idea that individual hedonic ratings for foods varying in energy density is a determinant of weight change in adolescents and may represent an important intervention target for obesity prevention programs.
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Affiliation(s)
- Jennifer R Sadler
- The Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric Stice
- Oregon Research Institute, Eugene, OR, USA
| | - Grace E Shearrer
- The Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kyle S Burger
- The Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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39
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Opel N, Redlich R, Repple J, Kaehler C, Grotegerd D, Dohm K, Zaremba D, Goltermann J, Steinmann LAM, Krughöfer R, Leehr EJ, Böhnlein J, Förster K, Bürger C, Meinert S, Enneking V, Emden D, Leenings R, Winter N, Heindel W, Kugel H, Thalamuthu A, Hahn T, Arolt V, Baune BT, Dannlowski U. Childhood maltreatment moderates the influence of genetic load for obesity on reward related brain structure and function in major depression. Psychoneuroendocrinology 2019; 100:18-26. [PMID: 30268003 DOI: 10.1016/j.psyneuen.2018.09.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 08/16/2018] [Accepted: 09/16/2018] [Indexed: 10/28/2022]
Abstract
Obesity is a clinically relevant and highly prevalent somatic comorbidity of major depression (MDD). Genetic predisposition and history of childhood trauma have both independently been demonstrated to act as risk factors for obesity and to be associated with alterations in reward related brain structure and function. We therefore aimed to investigate the influence of childhood maltreatment and genetic risk for obesity on structural and functional imaging correlates associated with reward processing in MDD. 161 MDD patients underwent structural and functional MRI during a frequently used card guessing paradigm. Main and interaction effects of a polygenic risk score for obesity (PRS) and childhood maltreatment experiences as assessed using the Childhood Trauma Questionnaire (CTQ) were investigated. We found that maltreatment experiences and polygenic risk for obesity significantly interacted on a) body mass index b) gray matter volume of the orbitofrontal cortex as well as on c) BOLD response in the right insula during reward processing. While polygenic risk for obesity was associated with elevated BMI as well as with decreased OFC gray matter and increased insular BOLD response in non-maltreated patients, these associations were absent in patients with a history of childhood trauma. No significant main effect of PRS or maltreatment on gray matter or BOLD response could be detected at the applied thresholds. The present study suggests that childhood maltreatment moderates the influence of genetic load for obesity on BMI as well as on altered brain structure and function in reward related brain circuits in MDD.
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Affiliation(s)
- Nils Opel
- Department of Psychiatry, University of Münster, Germany.
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Germany
| | | | - Claas Kaehler
- Department of Psychiatry, University of Münster, Germany; Department of Mathematics and Computer Science, University of Münster, Germany
| | | | - Katharina Dohm
- Department of Psychiatry, University of Münster, Germany
| | - Dario Zaremba
- Department of Psychiatry, University of Münster, Germany
| | | | | | | | | | | | | | | | | | | | - Daniel Emden
- Department of Psychiatry, University of Münster, Germany
| | | | - Nils Winter
- Department of Psychiatry, University of Münster, Germany
| | - Walter Heindel
- Institute of Clinical Radiology, University of Münster, Germany
| | - Harald Kugel
- Institute of Clinical Radiology, University of Münster, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Australia
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Germany
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Germany
| | - Bernhard T Baune
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Germany
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40
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Guzzardi MA, Iozzo P. Brain functional imaging in obese and diabetic patients. Acta Diabetol 2019; 56:135-144. [PMID: 29959509 DOI: 10.1007/s00592-018-1185-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/24/2018] [Indexed: 12/14/2022]
Abstract
Obesity and type 2 diabetes are associated with greater risk of brain damage. Over the last decade, functional imaging techniques (functional magnetic resonance imaging, fMRI, positron emission tomography, PET, electroencephalography, magnetoencephalography, near infrared spectroscopy) have been exploited to better characterize behavioral and cognitive processes, by addressing cerebral reactions to a variety of stimuli or tasks, including hormones and substrates (e.g., glucose, insulin, gut peptides), environmental cues (e.g., presentation of sensory stimuli), and cognitive tasks. Among these techniques, fMRI and PET are most commonly used, and this review focuses on results obtained with these techniques in relation to brain substrate metabolism, appetite control and food intake, and cognitive decline in obesity and type 2 diabetes. The available knowledge indicates that there are a series of cerebral abnormalities associating with, or preceding obesity and type 2 diabetes, including impaired substrate handling, insulin resistance, disruption of inter-organ cross-talk and of resting state networking. Some of these abnormalities are reversed by metabolic interventions, suggesting that they are partly a consequence rather than cause of disease. Therefore, causal implications and mechanisms remain to be determined.
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Affiliation(s)
- Maria Angela Guzzardi
- Institute of Clinical Physiology, National Research Council (CNR), Via Moruzzi 1, 56124, Pisa, Italy.
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council (CNR), Via Moruzzi 1, 56124, Pisa, Italy
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41
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Wulff AB, Tooley J, Marconi LJ, Creed MC. Ventral pallidal modulation of aversion processing. Brain Res 2018; 1713:62-69. [PMID: 30300634 DOI: 10.1016/j.brainres.2018.10.010] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/27/2018] [Accepted: 10/05/2018] [Indexed: 12/23/2022]
Abstract
Responding to aversive and rewarding stimuli is essential to survival. The ventral pallidum (VP) is a critical node in the mesolimbic network, being the primary output of the nucleus accumbens and projecting to the lateral habenula (LHb) and ventral tegmental area (VTA). The VP is thus poised to modulate the habenula-tegmental circuitry and contribute to processing both rewarding and aversive stimuli. Here, we integrate human functional imaging, behavioral pharmacology in rodents, and recent optogenetic circuit dissection studies of the VP with a focus on the role of the neurochemically-distinct subpopulations in aversion processing. These recent results support a model in which glutamatergic VP neurons play a unique role in aversion processing, while canonical GABAergic VP neurons promote reinforcement and encode the hedonic value of reward. Genetic ablation of glutamatergic, but not GABAergic VP neurons abolishes devaluation of natural reward (sucrose) by pairing with an aversive stimulus (lithium chloride injection). Both of these populations modulate activity throughout the LHb and VTA, which is necessary for expression of adaptive behavior in response to rewarding or aversive stimuli. Future work will address how neuromodulators such as endogenous opioids or dopamine shape function and plasticity within these distinct populations of VP neurons, when these subpopulations are engaged during learning responses to rewarding and aversive stimuli, and how their activity is altered in models of reward-related disorders. Answering these questions will be necessary to understand the basis and ultimately develop targeted therapies for disorders of reward/aversion processing, such as affective, chronic pain and substance use disorders.
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Affiliation(s)
- Andreas B Wulff
- University of Maryland School of Medicine, Department of Pharmacology, United States
| | - Jessica Tooley
- Washington University School of Medicine in St. Louis, Department of Anesthesiology, United States; University of Maryland School of Medicine, Department of Pharmacology, United States
| | - Lauren J Marconi
- University of Maryland School of Medicine, Department of Pharmacology, United States
| | - Meaghan C Creed
- Washington University School of Medicine in St. Louis, Department of Anesthesiology, United States
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42
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Stanhope KL, Goran MI, Bosy-Westphal A, King JC, Schmidt LA, Schwarz JM, Stice E, Sylvetsky AC, Turnbaugh PJ, Bray GA, Gardner CD, Havel PJ, Malik V, Mason AE, Ravussin E, Rosenbaum M, Welsh JA, Allister-Price C, Sigala DM, Greenwood MRC, Astrup A, Krauss RM. Pathways and mechanisms linking dietary components to cardiometabolic disease: thinking beyond calories. Obes Rev 2018; 19:1205-1235. [PMID: 29761610 PMCID: PMC6530989 DOI: 10.1111/obr.12699] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 03/09/2018] [Accepted: 03/31/2018] [Indexed: 12/11/2022]
Abstract
Calories from any food have the potential to increase risk for obesity and cardiometabolic disease because all calories can directly contribute to positive energy balance and fat gain. However, various dietary components or patterns may promote obesity and cardiometabolic disease by additional mechanisms that are not mediated solely by caloric content. Researchers explored this topic at the 2017 CrossFit Foundation Academic Conference 'Diet and Cardiometabolic Health - Beyond Calories', and this paper summarizes the presentations and follow-up discussions. Regarding the health effects of dietary fat, sugar and non-nutritive sweeteners, it is concluded that food-specific saturated fatty acids and sugar-sweetened beverages promote cardiometabolic diseases by mechanisms that are additional to their contribution of calories to positive energy balance and that aspartame does not promote weight gain. The challenges involved in conducting and interpreting clinical nutritional research, which preclude more extensive conclusions, are detailed. Emerging research is presented exploring the possibility that responses to certain dietary components/patterns are influenced by the metabolic status, developmental period or genotype of the individual; by the responsiveness of brain regions associated with reward to food cues; or by the microbiome. More research regarding these potential 'beyond calories' mechanisms may lead to new strategies for attenuating the obesity crisis.
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Affiliation(s)
- K L Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - M I Goran
- Department of Preventive Medicine, Diabetes and Obesity Research Institute, University of Southern California, Los Angeles, CA, USA
| | - A Bosy-Westphal
- Institute of Human Nutrition and Food Science, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - J C King
- Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | - L A Schmidt
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, USA
- California Clinical and Translational Science Institute, University of California, San Francisco, San Francisco, CA, USA
- Department of Anthropology, History, and Social Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - J-M Schwarz
- Touro University, Vallejo, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - E Stice
- Oregon Research Institute, Eugene, OR, USA
| | - A C Sylvetsky
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - P J Turnbaugh
- Department of Microbiology and Immunology, G.W. Hooper Research Foundation, University of California, San Francisco, San Francisco, CA, USA
| | - G A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - C D Gardner
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - P J Havel
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
- Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - V Malik
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A E Mason
- Department of Psychiatry, Osher Center for Integrative Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - E Ravussin
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - M Rosenbaum
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY, USA
| | - J A Welsh
- Department of Pediatrics, Emory University School of Medicine, Wellness Department, Children's Healthcare of Atlanta, Nutrition and Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA, USA
| | - C Allister-Price
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - D M Sigala
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - M R C Greenwood
- Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - A Astrup
- Department of Nutrition, Exercise, and Sports, Faculty of Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA, USA
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Decreased resting-state BOLD regional homogeneity and the intrinsic functional connectivity within dorsal striatum is associated with greater impulsivity in food-related decision-making and BMI change at 6-month follow up. Appetite 2018; 127:69-78. [DOI: 10.1016/j.appet.2018.04.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 04/02/2018] [Accepted: 04/26/2018] [Indexed: 01/26/2023]
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44
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Devoto F, Zapparoli L, Bonandrini R, Berlingeri M, Ferrulli A, Luzi L, Banfi G, Paulesu E. Hungry brains: A meta-analytical review of brain activation imaging studies on food perception and appetite in obese individuals. Neurosci Biobehav Rev 2018; 94:271-285. [PMID: 30071209 DOI: 10.1016/j.neubiorev.2018.07.017] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/06/2018] [Accepted: 07/25/2018] [Indexed: 11/24/2022]
Abstract
The dysregulation of food intake in chronic obesity has been explained by different theories. To assess their explanatory power, we meta-analyzed 22 brain-activation imaging studies. We found that obese individuals exhibit hyper-responsivity of the brain regions involved in taste and reward for food-related stimuli. Consistent with a Reward Surfeit Hypothesis, obese individuals exhibit a ventral striatum hyper-responsivity in response to pure tastes, particularly when fasting. Furthermore, we found that obese subjects display more frequent ventral striatal activation for visual food cues when satiated: this continued processing within the reward system, together with the aforementioned evidence, is compatible with the Incentive Sensitization Theory. On the other hand, we did not find univocal evidence in favor of a Reward Deficit Hypothesis nor for a systematic deficit of inhibitory cognitive control. We conclude that the available brain activation data on the dysregulated food intake and food-related behavior in chronic obesity can be best framed within an Incentive Sensitization Theory. Implications of these findings for a brain-based therapy of obesity are briefly discussed.
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Affiliation(s)
- F Devoto
- fMRI Unit, IRCSS Istituto Ortopedico Galeazzi, Milan, Italy; Department of Psychology and PhD Program in Neuroscience of the School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - L Zapparoli
- fMRI Unit, IRCSS Istituto Ortopedico Galeazzi, Milan, Italy
| | - R Bonandrini
- Department of Psychology and NeuroMi - Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - M Berlingeri
- DISTUM, Department of Humanistic Studies, University of Urbino Carlo Bo, Urbino, Italy; Center of Developmental Neuropsychology, ASUR Marche, Area Vasta 1, Pesaro, Italy
| | - A Ferrulli
- Endocrinology and Metabolic Diseases Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - L Luzi
- Endocrinology and Metabolic Diseases Unit, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - G Banfi
- fMRI Unit, IRCSS Istituto Ortopedico Galeazzi, Milan, Italy; University Vita e Salute San Raffaele, Milan, Italy
| | - E Paulesu
- fMRI Unit, IRCSS Istituto Ortopedico Galeazzi, Milan, Italy; Department of Psychology and NeuroMi - Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy.
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45
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Clarke RE, Verdejo-Garcia A, Andrews ZB. The role of corticostriatal-hypothalamic neural circuits in feeding behaviour: implications for obesity. J Neurochem 2018; 147:715-729. [PMID: 29704424 DOI: 10.1111/jnc.14455] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 04/11/2018] [Accepted: 04/13/2018] [Indexed: 02/02/2023]
Abstract
Emerging evidence from human imaging studies suggests that obese individuals have altered connectivity between the hypothalamus, the key brain region controlling energy homeostasis, and cortical regions involved in decision-making and reward processing. Historically, animal studies have demonstrated that the lateral hypothalamus is the key hypothalamic region involved in feeding and reward. The lateral hypothalamus is a heterogeneous structure comprised of several distinct types of neurons which are scattered throughout. In addition, the lateral hypothalamus receives inputs from a number of cortical brain regions suggesting that it is uniquely positioned to be a key integrator of cortical information and metabolic feedback. In this review, we summarize how human brain imaging can inform detailed animal studies to investigate neural pathways connecting cortical regions and the hypothalamus. Here, we discuss key cortical brain regions that are reciprocally connected to the lateral hypothalamus and are implicated in decision-making processes surrounding food.
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Affiliation(s)
- Rachel E Clarke
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Vic., Australia.,Department of Physiology, Monash University, Clayton, Vic., Australia
| | - Antonio Verdejo-Garcia
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Vic., Australia
| | - Zane B Andrews
- Monash Biomedicine Discovery Institute, Monash University, Clayton, Vic., Australia.,Department of Physiology, Monash University, Clayton, Vic., Australia
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46
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Lee Y, Kroemer NB, Oehme L, Beuthien-Baumann B, Goschke T, Smolka MN. Lower dopamine tone in the striatum is associated with higher body mass index. Eur Neuropsychopharmacol 2018; 28:719-731. [PMID: 29705023 DOI: 10.1016/j.euroneuro.2018.03.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 03/07/2018] [Accepted: 03/12/2018] [Indexed: 02/01/2023]
Abstract
Existing literature suggests that striatal dopamine (DA) tone may be altered in individuals with higher body mass index (BMI), but evidence accrued so far only offers an incomplete view of their relationship. Here, we characterized striatal DA tone using more comprehensive measures within a larger sample than previously reported. In addition, we explored if there was a relationship between striatal DA tone and disinhibited eating. 60 healthy participants underwent a 6-[18F]fluoro-L-3,4-dihydroxyphenylalanine (18F-DOPA) positron emission tomography (PET) scan. Disinhibited eating was measured with the Three-Factor Eating Questionnaire on a baseline visit. Individual whole-brain PET parameter estimates, namely 18F-DOPA influx rate constant (kocc i.e. DA synthesis capacity), 18F-DA washout rate (kloss) and effective distribution volume ratio (EDVR= kocc/ kloss), were derived with a reversible-tracer graphical analysis approach. We then computed parameter estimates for three regions-of-interests (ROIs), namely the ventral striatum, putamen and caudate. Overweight/mildly obese individuals had lowered EDVR than normal weight individuals in all three ROIs. The most prominent of these associations, driven by lowered kocc (r = -.28, p = .035) and heightened kloss (r = .48, p < .001), was found in the ventral striatum (r = -.46, p < .001). Disinhibition was greater in higher-BMI individuals (r = .31, p = .015), but was unrelated to PET measures and did not explain the relationship between PET measures and BMI. In sum, our findings resonate with the notion that overweight/mildly obese individuals have lower striatal DA tone and suggest new avenues for investigating their underlying mechanisms.
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Affiliation(s)
- Ying Lee
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nils B Kroemer
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany; Department of General Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Liane Oehme
- Department of Nuclear Medicine, Technische Universität Dresden, Dresden, Germany
| | | | - Thomas Goschke
- Department of Psychology and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
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47
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Greater mindful eating practice is associated with better reversal learning. Sci Rep 2018; 8:5702. [PMID: 29632306 PMCID: PMC5890263 DOI: 10.1038/s41598-018-24001-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 03/22/2018] [Indexed: 12/12/2022] Open
Abstract
Mindfulness-based interventions are thought to reduce compulsive behavior such as overeating by promoting behavioral flexibility. Here the main aim was to provide support for mindfulness-mediated improvements in reversal learning, a direct measure of behavioral flexibility. We investigated whether an 8-week mindful eating intervention improved outcome-based reversal learning relative to an educational cooking (i.e., active control) intervention in a non-clinical population. Sixty-five healthy participants with a wide BMI range (19–35 kg/m2), who were motivated to change their eating habits, performed a deterministic reversal learning task that enabled the investigation of reward- and punishment-based reversal learning at baseline and following the intervention. No group differences in reversal learning were observed. However, time invested in the mindful eating, but not the educational cooking intervention correlated positively with changes in reversal learning, in a manner independent of outcome valence. These findings suggest that greater amount of mindfulness practice can lead to increased behavioral flexibility, which, in turn, might help overcome compulsive eating in clinical populations.
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48
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Leigh SJ, Lee F, Morris MJ. Hyperpalatability and the Generation of Obesity: Roles of Environment, Stress Exposure and Individual Difference. Curr Obes Rep 2018; 7:6-18. [PMID: 29435959 DOI: 10.1007/s13679-018-0292-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW This review investigates how exposure to palatable food and its associated cues alters appetite regulation and feeding behaviour to drive overeating and weight gain. RECENT FINDINGS Both supraphysiological and physiological feeding systems are affected by exposure to palatable foods and its associated cues. Preclinical research, largely using rodents, has demonstrated that palatable food modulates feeding-related neural systems and food-seeking behaviour by recruiting the mesolimbic reward pathway. This is supported by studies in adolescents which have shown that mesolimbic activity in response to palatable food cues and consumption predicts future weight gain. Additionally, stress exposure, environmental factors and individual susceptibility have been shown to modulate the effects of highly palatable foods on behaviour. Further preclinical research using free-choice diets modelling the modern obesogenic environment is needed to identify how palatable foods drive overeating. Moreover, future clinical research would benefit from more appropriate quantification of palatability, making use of rating systems and surveys.
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Affiliation(s)
- Sarah-Jane Leigh
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - Frances Lee
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - Margaret J Morris
- Department of Pharmacology, School of Medical Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
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Bétry C, Thobois S, Laville M, Disse E. Deep brain stimulation as a therapeutic option for obesity: A critical review. Obes Res Clin Pract 2018; 12:260-269. [PMID: 29475604 DOI: 10.1016/j.orcp.2018.02.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 01/29/2018] [Accepted: 02/06/2018] [Indexed: 12/19/2022]
Abstract
Despite a better understanding of obesity pathophysiology, treating this disease remains a challenge. New therapeutic options are needed. Targeting the brain is a promising way, considering both the brain abnormalities in obesity and the effects of bariatric surgery on the gut-brain axis. Deep brain stimulation could be an alternative treatment for obesity since this safe and reversible neurosurgical procedure modulates neural circuits for therapeutic purposes. We aimed to provide a critical review of published clinical and preclinical studies in this field. Owing to the physiology of eating and brain alterations in people with obesity, two brain areas, namely the hypothalamus and the nucleus accumbens are putative targets. Preclinical studies with animal models of obesity showed that deep brain stimulation of hypothalamus or nucleus accumbens induces weight loss. The mechanisms of action remain to be fully elucidated. Preclinical data suggest that stimulation of nucleus accumbens reduces food intake, while stimulation of hypothalamus could increase resting energy expenditure. Clinical experience with deep brain stimulation for obesity remains limited to six patients with mixed results, but some clinical trials are ongoing. Thus, drawing clear conclusions about the effectiveness of this treatment is not yet possible, even if the results of preclinical studies are encouraging. Future clinical studies should examine its efficacy and safety, while preclinical studies could help understand its mechanisms of action. We hope that our review will provide ways to design further studies.
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Affiliation(s)
- Cécile Bétry
- Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France; The Medical School, University of Nottingham, Nottingham, UK.
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hopital Neurologique Pierre Wertheimer, Service de neurologie C, Lyon, France; Université de Lyon, Université Claude Bernard Lyon 1, Faculté de médecine Lyon Sud Charles Merieux, Lyon, France; CNRS, Institut des Sciences Cognitives Marc Jeannerot, UMR 5229, Bron, France
| | - Martine Laville
- Service d'Endocrinologie-Diabétologie-Maladies de la nutrition, Centre Intégré de l'Obésité, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France; Unité INSERM 1060, Laboratoire CARMEN, CENS-Centre Européen pour la Nutrition et la Santé, Centre de Recherche en Nutrition Humaine Rhône-Alpes., Université Claude Bernard Lyon 1, Pierre Bénite, France
| | - Emmanuel Disse
- Service d'Endocrinologie-Diabétologie-Maladies de la nutrition, Centre Intégré de l'Obésité, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France; Unité INSERM 1060, Laboratoire CARMEN, CENS-Centre Européen pour la Nutrition et la Santé, Centre de Recherche en Nutrition Humaine Rhône-Alpes., Université Claude Bernard Lyon 1, Pierre Bénite, France
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50
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Wardle MC, Lopez-Gamundi P, Flagel SB. Measuring appetitive conditioned responses in humans. Physiol Behav 2018; 188:140-150. [PMID: 29408238 DOI: 10.1016/j.physbeh.2018.02.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 01/16/2018] [Accepted: 02/02/2018] [Indexed: 12/30/2022]
Abstract
Clinical and preclinical findings suggest that individuals with abnormal responses to reward cues (stimuli associated with reward) may be at risk for maladaptive behaviors including obesity, addiction and depression. Our objective was to develop a new paradigm for producing appetitive conditioning using primary (food) rewards in humans, and investigate the equivalency of several outcomes previously used to measure appetitive responses to conditioned cues. We used an individualized food reward, and multimodal subjective, psychophysiological and behavioral measures of appetitive responses to a conditioned stimulus (CS) that predicted delivery of that food. We tested convergence among these measures of appetitive response, and relationships between these measures and action impulsivity, a putative correlate of appetitive conditioning. 90 healthy young adults participated. Although the paradigm produced robust appetitive conditioning in some measures, particularly psychophysiological ones, there were not strong correlations among measures of appetitive responses to the CS, as would be expected if they indexed a single underlying process. In addition, there was only one measure that related to impulsivity. These results provide important information for translational researchers interested in appetitive conditioning, suggesting that various measures of appetitive conditioning cannot be treated interchangeably.
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Affiliation(s)
- Margaret C Wardle
- Center for Neurobehavioral Research on Addiction, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, 1941 East Rd., BBSB 1st Floor CNRA, Houston, TX 77054, USA.
| | - Paula Lopez-Gamundi
- Center for Neurobehavioral Research on Addiction, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, 1941 East Rd., BBSB 1st Floor CNRA, Houston, TX 77054, USA
| | - Shelly B Flagel
- Department of Psychiatry, University of Michigan, USA; Molecular and Behavioral Neuroscience Institute, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI 48109, USA
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