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Xia H, Wu Q, Shields GS, Nie H, Hu X, Liu S, Zhou Z, Chen H, Yang Y. Neural activity and connectivity are related to food preference changes induced by food go/no-go training. Neuropsychologia 2024; 201:108919. [PMID: 38825226 DOI: 10.1016/j.neuropsychologia.2024.108919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/26/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
Simply withholding a response while viewing an appetizing food, over the course of many presentations (i.e., during food go/no-go training) can modify individuals' food preferences-which could, in turn, promote healthier eating behaviors. However, the neural mechanisms underlying this food go/no-go training-induced change in food preferences are still relatively unclear. We addressed this issue in the present functional magnetic resonance imaging (fMRI) study. To this end, we administered a novel passive viewing task before and after food go/no-go training to 91 participants in the scanner. Participants' food preferences were measured with a binary food choice task. At the behavioral level, we found the expected training effect on food preferences: Participants preferred go over no-go foods following training. At the neural level, we found that changes in food preferences were associated with training-related go vs. no-go differences in activity and functional connectivity, such as less activity in the anterior cingulate cortex and superior frontal gyrus but greater functional connectivity between the superior frontal gyrus and middle occipital gyrus. Critically, Dynamic causal modeling showed that this preference change effect was largely driven by top-down influence from the superior frontal gyrus to the middle occipital gyrus. Together, these findings suggest a neural mechanism of the food go/no-go training effect-namely, that the food-viewing-related interplay between prefrontal regions and visual regions might be related to the food preference change following food go/no-go training.
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Affiliation(s)
- Haishuo Xia
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Qian Wu
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Grant S Shields
- Department of Psychological Science, University of Arkansas, Fayetteville, AR, USA
| | - Haoyu Nie
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Xin Hu
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Shiyu Liu
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Zhehan Zhou
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, China; Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, China.
| | - Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, China.
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Devoto F, Mariano M, Gornetti E, Paulesu E, Zapparoli L. Trait food craving predicts functional connectivity between dopaminergic midbrain and the fusiform food area during eating imagery. Front Psychiatry 2024; 15:1396376. [PMID: 38774434 PMCID: PMC11107427 DOI: 10.3389/fpsyt.2024.1396376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/18/2024] [Indexed: 05/24/2024] Open
Abstract
Neurofunctional coupling between the dopaminergic midbrain (i.e., ventral tegmental area, VTA) and higher-order visual regions may contribute to food craving, leading to the onset or maintenance of obesity. We recently showed that the VTA resting-state functional connectivity with the occipitotemporal cortex, at the level of the fusiform gyrus (FFG), was specifically associated with trait food craving and the implicit bias for food images, suggesting that VTA-FFG connectivity may reflect the association between the visual representations of food and its motivational properties. To further test this hypothesis, this time we studied task-based functional connectivity in twenty-eight healthy-weight participants while imagining eating their most liked high-calorie (HC) or least liked low-calorie food (LC) or drinking water (control condition). Trait food craving scores were used to predict changes in task-based functional connectivity of the VTA during imagery of HC compared to LC foods (relative to the control condition). Trait food craving was positively associated with the functional connectivity of the VTA with the left FFG: people with higher trait food craving scores show stronger VTA-FFG connectivity, specifically for the imagery of the liked HC foods. This association was not linked to the quality of imagery nor to state measures of craving, appetite, or thirst. These findings emphasize the contribution of the functional coupling between dopaminergic midbrain and higher-order visual regions to food craving, suggesting a neurofunctional mechanism by which the mental representations of the HC food we like can become much more salient if not irresistible.
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Affiliation(s)
- Francantonio Devoto
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Marika Mariano
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Edoardo Gornetti
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Eraldo Paulesu
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
- fMRI Unit, IRCCS Orthopedic Institute Galeazzi, Milan, Italy
| | - Laura Zapparoli
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
- fMRI Unit, IRCCS Orthopedic Institute Galeazzi, Milan, Italy
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Abo Hamza E, Tindle R, Pawlak S, Bedewy D, Moustafa AA. The impact of poverty and socioeconomic status on brain, behaviour, and development: a unified framework. Rev Neurosci 2024; 0:revneuro-2023-0163. [PMID: 38607658 DOI: 10.1515/revneuro-2023-0163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 03/17/2024] [Indexed: 04/13/2024]
Abstract
In this article, we, for the first time, provide a comprehensive overview and unified framework of the impact of poverty and low socioeconomic status (SES) on the brain and behaviour. While there are many studies on the impact of low SES on the brain (including cortex, hippocampus, amygdala, and even neurotransmitters) and behaviours (including educational attainment, language development, development of psychopathological disorders), prior studies did not integrate behavioural, educational, and neural findings in one framework. Here, we argue that the impact of poverty and low SES on the brain and behaviour are interrelated. Specifically, based on prior studies, due to a lack of resources, poverty and low SES are associated with poor nutrition, high levels of stress in caregivers and their children, and exposure to socio-environmental hazards. These psychological and physical injuries impact the normal development of several brain areas and neurotransmitters. Impaired functioning of the amygdala can lead to the development of psychopathological disorders, while impaired hippocampus and cortex functions are associated with a delay in learning and language development as well as poor academic performance. This in turn perpetuates poverty in children, leading to a vicious cycle of poverty and psychological/physical impairments. In addition to providing economic aid to economically disadvantaged families, interventions should aim to tackle neural abnormalities caused by poverty and low SES in early childhood. Importantly, acknowledging brain abnormalities due to poverty in early childhood can help increase economic equity. In the current study, we provide a comprehensive list of future studies to help understand the impact of poverty on the brain.
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Affiliation(s)
- Eid Abo Hamza
- College of Education, Humanities & Social Sciences, 289293 Al Ain University , 64141, Al Jimi, UAE
- Faculty of Education, Tanta University, Al-Geish St., 122011, Tanta, Egypt
| | - Richard Tindle
- JMS Allied Services, 1109 Coffs Harbour , NSW, 2452, Australia
| | - Simon Pawlak
- Department of Psychological Sciences, Swinburne University of Technology, John Street, Hawthorn, VIC 3122, Australia
| | - Dalia Bedewy
- Department of Psychology, College of Humanities and Sciences, 59104 Ajman University , University Street, Al jerf 1, Ajman, UAE
- Department of Psychology, Faculty of Education, Tanta University, Al-Geish St., 122011, Tanta, Egypt
- 59104 Humanities and Social Sciences Research Center (HSSRC), Ajman University , University Street, Al jerf 1, Ajman, UAE
| | - Ahmed A Moustafa
- Department of Human Anatomy and Physiology, The Faculty of Health Sciences, University of Johannesburg, Cnr Kingsway & University Roads, Auckland Park, Johannesburg, 2092, South Africa
- School of Psychology, Faculty of Society and Design, 448704 Bond University , 14 University Dr, Robina QLD 4226, Gold Coast, QLD, Australia
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Fuchs BA, Pearce AL, Rolls BJ, Wilson SJ, Rose EJ, Geier CF, Garavan H, Keller KL. The Cerebellar Response to Visual Portion Size Cues Is Associated with the Portion Size Effect in Children. Nutrients 2024; 16:738. [PMID: 38474866 DOI: 10.3390/nu16050738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
The neural mechanisms underlying susceptibility to eating more in response to large portions (i.e., the portion size effect) remain unclear. Thus, the present study examined how neural responses to portion size relate to changes in weight and energy consumed as portions increase. Associations were examined across brain regions traditionally implicated in appetite control (i.e., an appetitive network) as well as the cerebellum, which has recently been implicated in appetite-related processes. Children without obesity (i.e., BMI-for-age-and-sex percentile < 90; N = 63; 55% female) viewed images of larger and smaller portions of food during fMRI and, in separate sessions, ate four meals that varied in portion size. Individual-level linear and quadratic associations between intake (kcal, grams) and portion size (i.e., portion size slopes) were estimated. The response to portion size in cerebellar lobules IV-VI was associated with the quadratic portion size slope estimated from gram intake; a greater response to images depicting smaller compared to larger portions was associated with steeper increases in intake with increasing portion sizes. Within the appetitive network, neural responses were not associated with portion size slopes. A decreased cerebellar response to larger amounts of food may increase children's susceptibility to overeating when excessively large portions are served.
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Affiliation(s)
- Bari A Fuchs
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Alaina L Pearce
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Barbara J Rolls
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Stephen J Wilson
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Emma J Rose
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Charles F Geier
- Human Development and Family Science, University of Georgia, Athens, GA 31793, USA
| | - Hugh Garavan
- Department of Psychological Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Kathleen L Keller
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA
- Department of Food Science, The Pennsylvania State University, University Park, PA 16802, USA
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Semeia L, Veit R, Zhao S, Luo S, Angelo B, Birkenfeld AL, Preissl H, Xiang AH, Kullmann S, Page KA. Influence of insulin sensitivity on food cue evoked functional brain connectivity in children. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579924. [PMID: 38405878 PMCID: PMC10888780 DOI: 10.1101/2024.02.12.579924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective Insulin resistance during childhood is a risk factor for developing type 2 diabetes and other health problems later in life. Studies in adults have shown that insulin resistance affects regional and network activity in the brain which are vital for behavior, e.g. ingestion and metabolic control. To date, no study has investigated whether brain responses to food cues in children are associated with peripheral insulin sensitivity. Methods We included 53 children (36 girls) between the age of 7-11 years, who underwent an oral Glucose Tolerance Test (oGTT) to estimate peripheral insulin sensitivity (ISI). Brain responses were measured using functional magnetic resonance imaging (fMRI) before and after glucose ingestion. We compared food-cue task-based activity and functional connectivity (FC) between children with low and high ISI, adjusted for age and BMIz. Results Independent of prandial state (i.e., glucose ingestion), children with lower ISI showed higher FC between the anterior insula and caudate and lower FC between the posterior insula and mid temporal cortex than children with higher ISI. Sex differences were found based on prandial state and peripheral insulin sensitivity in the insular FC. No differences were found on whole-brain food-cue reactivity. Conclusions Children with low peripheral insulin sensitivity showed differences in food cue evoked response particularly in insula functional connectivity. These differences might influence eating behavior and future risk of developing diabetes.
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Affiliation(s)
- Lorenzo Semeia
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max Planck Research School, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Sixiu Zhao
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Shan Luo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan Angelo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- Department of Pharmacy and Biochemistry, University of Tübingen, Germany
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Kathleen A Page
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
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Alabdulkader S, Al-Alsheikh AS, Miras AD, Goldstone AP. Obesity surgery and neural correlates of human eating behaviour: A systematic review of functional MRI studies. Neuroimage Clin 2024; 41:103563. [PMID: 38237270 PMCID: PMC10828606 DOI: 10.1016/j.nicl.2024.103563] [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] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 01/03/2024] [Accepted: 01/07/2024] [Indexed: 02/03/2024]
Abstract
Changes in eating behaviour including reductions in appetite and food intake, and healthier food cue reactivity, reward, hedonics and potentially also preference, contribute to weight loss and its health benefits after obesity surgery. Functional magnetic resonance imaging (fMRI) has been increasingly used to interrogate the neural correlates of eating behaviour in obesity, including brain reward-cognitive systems, changes after obesity surgery, and links with alterations in the gut-hormone-brain axis. Neural responses to food cues can be measured by changes in blood oxygen level dependent (BOLD) signal in brain regions involved in reward processing, including caudate, putamen, nucleus accumbens, insula, amygdala, orbitofrontal cortex, and top-down inhibitory control, including dorsolateral prefrontal cortex (dlPFC). This systematic review aimed to examine: (i) results of human fMRI studies involving obesity surgery, (ii) important methodological differences in study design across studies, and (iii) correlations and associations of fMRI findings with clinical outcomes, other eating behaviour measures and mechanistic measures. Of 741 articles identified, 23 were eligible for inclusion: 16 (69.6%) longitudinal, two (8.7%) predictive, and five (21.7%) cross-sectional studies. Seventeen studies (77.3%) included patients having Roux-en-Y gastric bypass (RYGB) surgery, six (26.1%) vertical sleeve gastrectomy (VSG), and five (21.7%) laparoscopic adjustable gastric banding (LAGB). The majority of studies (86.0%) were identified as having a very low risk of bias, though only six (27.3%) were controlled interventional studies, with none including randomisation to surgical and control interventions. The remaining studies (14.0%) had a low risk of bias driven by their control groups not having an active treatment. After RYGB surgery, food cue reactivity often decreased or was unchanged in brain reward systems, and there were inconsistent findings as to whether reductions in food cue reactivity was greater for high-energy than low-energy foods. There was minimal evidence from studies of VSG and LAGB surgeries for changes in food cue reactivity in brain reward systems, though effects of VSG surgery on food cue reactivity in the dlPFC were more consistently found. There was consistent evidence for post-operative increases in satiety gut hormones glucagon-like-peptide 1 (GLP-1) and peptide YY (PYY) mediating reduced food cue reactivity after RYGB surgery, including two interventional studies. Methodological heterogeneity across studies, including nutritional state, nature of food cues, post-operative timing, lack of control groups for order effects and weight loss or dietary/psychological advice, and often small sample sizes, limited the conclusions that could be drawn, especially for correlational analyses with clinical outcomes, other eating behaviour measures and potential mediators. This systematic review provides a detailed data resource for those performing or analysing fMRI studies of obesity surgery and makes suggestions to help improve reporting and design of such studies, as well as future directions.
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Affiliation(s)
- Shahd Alabdulkader
- Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, PO Box 84428, Riyadh 11671, Saudi Arabia; Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
| | - Alhanouf S Al-Alsheikh
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
| | - Alexander D Miras
- Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London W12 0NN, UK; Ulster University, School of Medicine, Faculty of Life & Health Sciences, Londonderry, Northern Ireland BT48 7JL, UK.
| | - Anthony P Goldstone
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
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Anguah KOB, Christ SE. Exposure to written content eliciting weight stigmatization: Neural responses in appetitive and food reward regions. Obesity (Silver Spring) 2024; 32:80-90. [PMID: 37861062 DOI: 10.1002/oby.23917] [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: 05/08/2023] [Revised: 07/28/2023] [Accepted: 08/19/2023] [Indexed: 10/21/2023]
Abstract
OBJECTIVE Neural activity in food reward- and appetite-related regions was examined in response to high-calorie (HC), low-calorie, and non-food pictures after exposure to written weight stigma (WS) content. Relationships with eating behavior (by Three-Factor Eating Questionnaire [TFEQ]), blood glucose, and subjective appetite were also explored. METHODS Adults with overweight and obesity were randomized to read either a WS (n = 20) or control (n = 20) article and subsequently underwent brain scans while they rated pleasantness of food pictures. Fasting glucose, TFEQ, stigma experiences, and appetite were measured before reading the article, appetite after reading, and glucose and appetite again after the scan. RESULTS A priori region of interest analyses revealed significant group differences in activation to HC > low-calorie food cues in the caudate and thalamus whereas exploratory whole-brain analyses suggested significant differences in regions including left insula, left thalamus, left inferior temporal gyrus, right lingual gyrus, and bilateral middle occipital gyrus and superior parietal lobule (p < 0.005 uncorrected, k ≥ 200 m3 ). No significant relationships were observed between the pattern of activation and TFEQ, glucose, or subjective appetite in the WS group. CONCLUSIONS Exposure to WS was associated with increased responsiveness to HC food content in the dorsal striatum and thalamus in individuals with overweight and obesity.
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Affiliation(s)
- Katherene O B Anguah
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri, USA
| | - Shawn E Christ
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA
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Al‐Alsheikh AS, Alabdulkader S, Miras AD, Goldstone AP. Effects of bariatric surgery and dietary interventions for obesity on brain neurotransmitter systems and metabolism: A systematic review of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) studies. Obes Rev 2023; 24:e13620. [PMID: 37699864 PMCID: PMC10909448 DOI: 10.1111/obr.13620] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 04/05/2023] [Accepted: 07/10/2023] [Indexed: 09/14/2023]
Abstract
This systematic review collates studies of dietary or bariatric surgery interventions for obesity using positron emission tomography and single-photon emission computed tomography. Of 604 publications identified, 22 met inclusion criteria. Twelve studies assessed bariatric surgery (seven gastric bypass, five gastric bypass/sleeve gastrectomy), and ten dietary interventions (six low-calorie diet, three very low-calorie diet, one prolonged fasting). Thirteen studies examined neurotransmitter systems (six used tracers for dopamine DRD2/3 receptors: two each for 11 C-raclopride, 18 F-fallypride, 123 I-IBZM; one for dopamine transporter, 123 I-FP-CIT; one used tracer for serotonin 5-HT2A receptor, 18 F-altanserin; two used tracers for serotonin transporter, 11 C-DASB or 123 I-FP-CIT; two used tracer for μ-opioid receptor, 11 C-carfentanil; one used tracer for noradrenaline transporter, 11 C-MRB); seven studies assessed glucose uptake using 18 F-fluorodeoxyglucose; four studies assessed regional cerebral blood flow using 15 O-H2 O (one study also used arterial spin labeling); and two studies measured fatty acid uptake using 18 F-FTHA and one using 11 C-palmitate. The review summarizes findings and correlations with clinical outcomes, eating behavior, and mechanistic mediators. The small number of studies using each tracer and intervention, lack of dietary intervention control groups in any surgical studies, heterogeneity in time since intervention and degree of weight loss, and small sample sizes hindered the drawing of robust conclusions across studies.
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Affiliation(s)
- Alhanouf S. Al‐Alsheikh
- Department of Metabolism, Digestion and Reproduction, Imperial College LondonHammersmith HospitalLondonUK
- Department of Community Health Sciences, College of Applied Medical SciencesKing Saud UniversityRiyadhSaudi Arabia
| | - Shahd Alabdulkader
- Department of Metabolism, Digestion and Reproduction, Imperial College LondonHammersmith HospitalLondonUK
- Department of Health Sciences, College of Health and Rehabilitation SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia
| | - Alexander D. Miras
- Department of Metabolism, Digestion and Reproduction, Imperial College LondonHammersmith HospitalLondonUK
- School of Medicine, Faculty of Life and Health SciencesUlster UniversityLondonderryUK
| | - Anthony P. Goldstone
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Imperial College LondonHammersmith HospitalLondonUK
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Cui J, Li G, Zhang M, Xu J, Qi H, Ji W, Wu F, Zhang Y, Jiang F, Hu Y, Zhang W, Wei X, Manza P, Volkow ND, Gao X, Wang GJ, Zhang Y. Associations between body mass index, sleep-disordered breathing, brain structure, and behavior in healthy children. Cereb Cortex 2023; 33:10087-10097. [PMID: 37522299 PMCID: PMC10656948 DOI: 10.1093/cercor/bhad267] [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: 03/21/2023] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 08/01/2023] Open
Abstract
Pediatric overweight/obesity can lead to sleep-disordered breathing (SDB), abnormal neurological and cognitive development, and psychiatric problems, but the associations and interactions between these factors have not been fully explored. Therefore, we investigated the associations between body mass index (BMI), SDB, psychiatric and cognitive measures, and brain morphometry in 8484 children 9-11 years old using the Adolescent Brain Cognitive Development dataset. BMI was positively associated with SDB, and both were negatively correlated with cortical thickness in lingual gyrus and lateral orbitofrontal cortex, and cortical volumes in postcentral gyrus, precentral gyrus, precuneus, superior parietal lobule, and insula. Mediation analysis showed that SDB partially mediated the effect of overweight/obesity on these brain regions. Dimensional psychopathology (including aggressive behavior and externalizing problem) and cognitive function were correlated with BMI and SDB. SDB and cortical volumes in precentral gyrus and insula mediated the correlations between BMI and externalizing problem and matrix reasoning ability. Comparisons by sex showed that obesity and SDB had a greater impact on brain measures, cognitive function, and mental health in girls than in boys. These findings suggest that preventing childhood obesity will help decrease SDB symptom burden, abnormal neurological and cognitive development, and psychiatric problems.
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Affiliation(s)
- Jianqi Cui
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Minmin Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Jiayu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Haowen Qi
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Xiaorong Wei
- Kindergarten, Air Force Medical University, Xi'an, Shaanxi 710032, 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
| | - Xinbo Gao
- Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
- Chongqing Institute for Brain, Guangyang Bay Laboratory, Chongqing 400064, 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 & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
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10
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Li Z, Wu X, Gao H, Xiang T, Zhou J, Zou Z, Tong L, Yan B, Zhang C, Wang L, Wang W, Yang T, Li F, Ma H, Zhao X, Mi N, Yu Z, Li H, Zeng Q, Li Y. Intermittent energy restriction changes the regional homogeneity of the obese human brain. Front Neurosci 2023; 17:1201169. [PMID: 37600013 PMCID: PMC10434787 DOI: 10.3389/fnins.2023.1201169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Background Intermittent energy restriction (IER) is an effective weight loss strategy. However, the accompanying changes in spontaneous neural activity are unclear, and the relationship among anthropometric measurements, biochemical indicators, and adipokines remains ambiguous. Methods Thirty-five obese adults were recruited and received a 2-month IER intervention. Data were collected from anthropometric measurements, blood samples, and resting-state functional magnetic resonance imaging at four time points. The regional homogeneity (ReHo) method was used to explore the effects of the IER intervention. The relationships between the ReHo values of altered brain regions and changes in anthropometric measurements, biochemical indicators, and adipokines (leptin and adiponectin) were analyzed. Results Results showed that IER significantly improved anthropometric measurements, biochemical indicators, and adipokine levels in the successful weight loss group. The IER intervention for weight loss was associated with a significant increase in ReHo in the bilateral lingual gyrus, left calcarine, and left postcentral gyrus and a significant decrease in the right middle temporal gyrus and right cerebellum (VIII). Follow-up analyses showed that the increase in ReHo values in the right LG had a significant positive correlation with a reduction in Three-factor Eating Questionnaire (TFEQ)-disinhibition and a significant negative correlation with an increase in TFEQ-cognitive control. Furthermore, the increase in ReHo values in the left calcarine had a significant positive correlation with the reduction in TFEQ-disinhibition. However, no significant difference in ReHo was observed in the failed weight loss group. Conclusion Our study provides objective evidence that the IER intervention reshaped the ReHo of some brain regions in obese individuals, accompanied with improved anthropometric measurements, biochemical indicators, and adipokines. These results illustrated that the IER intervention for weight loss may act by decreasing the motivational drive to eat, reducing reward responses to food cues, and repairing damaged food-related self-control processes. These findings enhance our understanding of the neurobiological basis of IER for weight loss in obesity.
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Affiliation(s)
- Zhonglin Li
- Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Xiaoling Wu
- Department of Nuclear Medicine, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Hui Gao
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Tianyuan Xiang
- Health Mangement Institute, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jing Zhou
- Department of Nephrology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial Key Laboratory of Kidney Disease and Immunology, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Zhi Zou
- Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Li Tong
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Bin Yan
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Chi Zhang
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Linyuan Wang
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Wen Wang
- Department of Nutrition, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Tingting Yang
- Department of Nutrition, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Fengyun Li
- Department of Health Management, Henan Key Laboratory of Chronic Disease Management, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Huimin Ma
- Department of Health Management, Henan Key Laboratory of Chronic Disease Management, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Xiaojuan Zhao
- Department of Health Management, Henan Key Laboratory of Chronic Disease Management, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Na Mi
- Department of Health Management, Henan Key Laboratory of Chronic Disease Management, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Ziya Yu
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China
| | - Hao Li
- Department of Oral Health Management, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Qiang Zeng
- Health Mangement Institute, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yongli Li
- Department of Health Management, Henan Key Laboratory of Chronic Disease Management, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
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11
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Bhargava R, Luur S, Rodriguez Flores M, Emini M, Prechtl CG, Goldstone AP. Postprandial Increases in Liver-Gut Hormone LEAP2 Correlate with Attenuated Eating Behavior in Adults Without Obesity. J Endocr Soc 2023; 7:bvad061. [PMID: 37287649 PMCID: PMC10243873 DOI: 10.1210/jendso/bvad061] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Indexed: 06/09/2023] Open
Abstract
Background The novel liver-gut hormone liver-expressed antimicrobial peptide-2 (LEAP2) is a centrally acting inverse agonist, and competitive antagonist of orexigenic acyl ghrelin (AG), at the GH secretagogue receptor, reducing food intake in rodents. In humans, the effects of LEAP2 on eating behavior and mechanisms behind the postprandial increase in LEAP2 are unclear, though this is reciprocal to the postprandial decrease in plasma AG. Methods Plasma LEAP2 was measured in a secondary analysis of a previous study. Twenty-two adults without obesity attended after an overnight fast, consuming a 730-kcal meal without or with subcutaneous AG administration. Postprandial changes in plasma LEAP2 were correlated with postprandial changes in appetite, high-energy (HE) or low-energy (LE) food cue reactivity using functional magnetic resonance imaging, ad libitum food intake, and plasma/serum AG, glucose, insulin, and triglycerides. Results Postprandial plasma LEAP2 increased by 24.5% to 52.2% at 70 to 150 minutes, but was unchanged by exogenous AG administration. Postprandial increases in LEAP2 correlated positively with postprandial decreases in appetite, and cue reactivity to HE/LE and HE food in anteroposterior cingulate cortex, paracingulate cortex, frontal pole, and middle frontal gyrus, with similar trend for food intake. Postprandial increases in LEAP2 correlated negatively with body mass index, but did not correlate positively with increases in glucose, insulin, or triglycerides, nor decreases in AG. Conclusions These correlational findings are consistent with a role for postprandial increases in plasma LEAP2 in suppressing human eating behavior in adults without obesity. Postprandial increases in plasma LEAP2 are unrelated to changes in plasma AG and the mediator(s) remain uncertain.
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Affiliation(s)
- Raghav Bhargava
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
| | - Sandra Luur
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
| | - Marcela Rodriguez Flores
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
| | - Mimoza Emini
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
| | - Christina G Prechtl
- School of Public Health, Faculty of Medicine, Imperial College London, St. Mary's Hospital, London, W2 1PG, UK
| | - Anthony P Goldstone
- PsychoNeuroEndocrinology Research Group, Division of Psychiatry, Department of Brain Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
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12
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Arrona-Cardoza P, Labonté K, Cisneros-Franco JM, Nielsen DE. The Effects of Food Advertisements on Food Intake and Neural Activity: A Systematic Review and Meta-Analysis of Recent Experimental Studies. Adv Nutr 2023; 14:339-351. [PMID: 36914293 DOI: 10.1016/j.advnut.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/01/2022] [Accepted: 12/22/2022] [Indexed: 01/01/2023] Open
Abstract
Food advertisements are ubiquitous in our daily environment. However, the relationships between exposure to food advertising and outcomes related to ingestive behavior require further investigation. The objective was to conduct a systematic review and meta-analysis of behavioral and neural responses to food advertising in experimental studies. PubMed, Web of Science, and Scopus were searched for articles published from January 2014 to November 2021 using a search strategy following PRISMA guidelines. Experimental studies conducted with human participants were included. A random-effects inverse-variance meta-analysis was performed on standardized mean differences (SMD) of food intake (behavioral outcome) between the food advertisement and nonfood advertisement conditions of each study. Subgroup analyses were performed by age, BMI group, study design, and advertising media type. A seed-based d mapping meta-analysis of neuroimaging studies was performed to evaluate neural activity between experimental conditions. Nineteen articles were eligible for inclusion, 13 for food intake (n = 1303) and 6 for neural activity (n = 303). The pooled analysis of food intake revealed small, but statistically significant, effects of increased intake after viewing food advertising compared with the control condition among adults and children (adult SMD: 0.16; 95% CI: 0.03, 0.28; P = 0.01; I2 = 0; 95% CI: 0, 95.0%; Children SMD: 0.25; 95% CI: 0.14, 0.37; P < 0.0001; I2 = 60.4%; 95% CI: 25.6%, 79.0%). The neuroimaging studies involved children only, and the pooled analysis corrected for multiple comparisons identified one significant cluster, the middle occipital gyrus, with increased activity after food advertising exposure compared with the control condition (peak coordinates: 30, -86, 12; z-value: 6.301, size: 226 voxels; P < 0.001). These findings suggest that acute exposure to food advertising increases food intake among children and adults and that the middle occipital gyrus is an implicated brain region among children. (PROSPERO registration: CRD42022311357).
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Affiliation(s)
| | - Katherine Labonté
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada
| | - José Miguel Cisneros-Franco
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada; Desautels Faculty of Management, McGill University, Montreal, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada.
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13
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Yang Y, Morys F, Wu Q, Li J, Chen H. Pilot study of food-specific go/no-go training for overweight individuals: brain imaging data suggest inhibition shapes food evaluation. Soc Cogn Affect Neurosci 2023; 18:6464693. [PMID: 34918164 PMCID: PMC10074770 DOI: 10.1093/scan/nsab137] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/04/2021] [Accepted: 12/16/2021] [Indexed: 11/14/2022] Open
Abstract
Food-specific go/no-go training might reduce overeating and facilitate weight loss. In this pilot study, we examined whether a food-specific go/no-go training over five weeks, as compared to a non-food-specific training, could produce changes in behavioral and neural responses to food images and body weight. Here, we used a sample of 51 overweight participants divided into training and control groups whose brain activity and food evaluation were measured before and after the training. Compared with the control group, in the training group we found significant reductions in high-calorie food evaluation. We also found lower activations in inhibitory control- and reward-related brain regions in response to high-calorie food images. Further, activation change of the mid-insula in response to the high-calorie food images was positively associated with change in the evaluation of those images. However, we found no evidence for a significant effect of food-specific go/no-go training on body weight change. Our findings highlight that food-specific go/no-go training in overweight individuals can reduce high-calorie food evaluation, but also neural activations in inhibitory control- and reward- related brain regions.
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Affiliation(s)
- Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Filip Morys
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Qian Wu
- The Lab of Mental Health and Social Adaptation, Faculty of Psychology, Research Center of Mental Health Education, Southwest University, Chongqing 400715, China
| | - Jiwen Li
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing 400715, China.,Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
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14
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Meyerding SGH, Marpert JD. Modern pied pipers: Child social media influencers and junk food on YouTube: A study from Germany. Appetite 2023; 181:106382. [PMID: 36435300 DOI: 10.1016/j.appet.2022.106382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 11/09/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022]
Abstract
Kid influencers (under the age of 13) have profiles on social media platforms and create content to generate views and engagements. To reach young consumers, food companies are increasingly using kid influencers, perceived as highly trustworthy among children of the same age, to promote their (high-calorie) food products. Exposure to such content can lead to an increase in calorie intake. Therefore, this study aimed to identify which foods and beverages are featured in the videos of the four kid influencer channels most popular in Germany and, if possible, which Nutri-Score category these products receive. Of each channel, 50 of the most popular and 50 of the newest videos were analyzed regarding the food and beverage products and brands appearing in the video and the thumbnail. To analyze the number of appearances, each product was categorized as to whether it was branded or unbranded. Where possible, the Nutri-Score was then calculated for each product that appeared. Within the total video sample (N = 373), food and/or beverages appeared in almost 70% of the videos, of which 220 were branded and 178 were unbranded products. Due to incomplete nutrition labels of branded products, only 146 branded products could be analyzed, from which 66% received the worst Nutri-Score categories D and E. The unbranded foods were evaluated using products as similar as possible, of which the majority received Nutri-Score A. The most common brands included McDonald's, Kinder, and Coca-Cola, and the most frequent product categories were chocolate, candy, soft drinks, and fruit. The high number of high-calorie products in the videos shows that kid influencers might be regarded as a risk factor when it comes to childhood obesity.
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Affiliation(s)
- Stephan G H Meyerding
- Faculty of Life Sciences, Department of Nutrition and Home Economics, HAW Hamburg, Hamburg, Germany.
| | - Jasmin D Marpert
- Faculty of Life Sciences, Department of Nutrition and Home Economics, HAW Hamburg, Hamburg, Germany.
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15
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Neural correlates of ‘Liking’ and ‘Wanting’ in short-term eating behaviours and long-term energy balance. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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16
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Guleken Z, Uzbay T. Neurobiological and neuropharmacological aspects of food addiction. Neurosci Biobehav Rev 2022; 139:104760. [PMID: 35780976 DOI: 10.1016/j.neubiorev.2022.104760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 06/04/2022] [Accepted: 06/26/2022] [Indexed: 11/17/2022]
Abstract
This review aims to draw attention to current studies on syndromes related to food eating behavior, including food addiction, and to highlight the neurobiological and neuropharmacological aspects of food addiction toward the development of new therapies. Food addiction and eating disorders are influenced by several neurobiological factors. Changes in feeding behavior, food addiction, and its pharmacological therapy are related to complex neurobiological processes in the brain. Thus, it is not surprising that there is inconsistency among various individual studies. In this review, we assessed literature including both experimental and clinical studies regarding food addiction as a feeding disorder. We selected articles from animal studies, randomized clinical trials, meta-analyses, narrative, and systemic reviews given that, crucial quantitative data with a measure of neurobiological, neuropharmacological aspects and current therapies of food addiction as an outcome. Thus, the main goal to outline here is to investigate and discuss the association between the brain reward system and feeding behavior in the frame of food addiction in the light of current literature.
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Affiliation(s)
- Zozan Guleken
- Uskudar University Faculty of Medicine, Department of Physiology, İstanbul, Turkey
| | - Tayfun Uzbay
- Uskudar University, Faculty of Medicine, Department of Medical Pharmacology, İstanbul, Turkey; Üsküdar University, Neuropsychopharmacology Application, and Research Center (NPARC), İstanbul, Turkey.
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17
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Zheng L, Miao M, Gan Y. A systematic and meta-analytic review on the neural correlates of viewing high- and low-calorie foods among normal-weight adults. Neurosci Biobehav Rev 2022; 138:104721. [PMID: 35667634 DOI: 10.1016/j.neubiorev.2022.104721] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/12/2022] [Accepted: 05/30/2022] [Indexed: 11/30/2022]
Abstract
In the context of current-day online shopping, people select foods based on pictures and using their visual systems. Although there are some reviews of previous neuroimaging studies on appetitive behaviors, the findings on neural activation in response to pictures of high- and low-calorie foods seem inconsistent. This study aims to systematically review, integrate, and meta-analyze neuroimaging evidence of viewing high- and low-calorie foods. There were 25 samples from 24 studies, totalizing 489 normal-weight participants (311 female, 160 male, and 18 of unknown sex). We conducted a systematic review and Activation Likelihood Estimation (ALE) meta-analysis on viewing high-calorie foods (versus non-foods), low-calorie foods (versus non-foods), and high- versus low-calorie foods. In systematic review, several brain regions were shown to be activated when viewing high- or low-calorie foods (versus non-foods) and viewing high- versus low-calorie foods, including the prefrontal cortex, orbitofrontal cortex, amygdala, insula, ventral striatum, hippocampus, superior parietal lobe, and fusiform gyrus. However, the ALE meta-analysis showed that the left orbitofrontal cortex, left amygdala, insula, superior parietal lobe, and fusiform gyrus were activated when viewing high-calorie foods (versus non-foods); the left fusiform gyrus was activated when viewing low-calorie foods (versus non-foods); and no cluster was activated when viewing high- versus low-calorie foods. Our research suggests an appetitive brain network that includes visual perception and attentional processing, sensory input integration, subjective reward value encoding, decision-making, and top-down cognitive control. Future studies should control for the effects of methodological and physiological variables when examining the neural correlates of viewing high- and low-calorie foods.
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Affiliation(s)
- Lei Zheng
- School of Economics and Management, Fuzhou University, China; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China
| | - Miao Miao
- Department of Medical Psychology, School of Health Humanities, Peking University, China
| | - Yiqun Gan
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China.
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18
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Yang Y, Qi L, Morys F, Wu Q, Chen H. Food-Specific Inhibition Training for Food Devaluation: A Meta-Analysis. Nutrients 2022; 14:nu14071363. [PMID: 35405975 PMCID: PMC9002952 DOI: 10.3390/nu14071363] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/16/2022] [Accepted: 03/23/2022] [Indexed: 01/27/2023] Open
Abstract
Theories have suggested that food-specific inhibition training could lead to food devaluation which, in turn, may help people to regulate their eating behavior. In this review, we have synthesized the current literature on this topic by conducting a meta-analysis of studies investigating the effects of food-specific inhibition training on food evaluation. We identified 24 studies-with 36 independent samples, 77 effect sizes, and 3032 participants-that met our inclusion criteria. Effect sizes were analyzed using the robust variance estimation in random effects meta-regression technique. The results indicate that food-specific inhibition training can lead to statistically significant reductions in food evaluation. More specifically, it was observed that the effects of training on participants' food evaluation differed according to the type of evaluation; food-specific inhibition training significantly decreased participants' explicit food evaluation, but not their implicit food evaluation. However, because most of the included studies focused on trained food items and short-term outcomes in normal-weight samples, more research is needed on the continuance of the training effects, as well as on the extent to which effects can be generalized to untrained food items or different populations (e.g., overweight or obese individuals).
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Affiliation(s)
- Yingkai Yang
- Faculty of Psychology, Southwest University, No. 2 Tiansheng Street, Beibei District, Chongqing 400715, China
- Correspondence: (Y.Y.); (H.C.)
| | - Le Qi
- School of General Education, Chongqing City Management College, Chongqing 401331, China;
| | - Filip Morys
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada;
| | - Qian Wu
- The Lab of Mental Health and Social Adaptation, Faculty of Psychology, Research Center of Mental Health Education, Southwest University, Chongqing 400715, China;
| | - Hong Chen
- Faculty of Psychology, Southwest University, No. 2 Tiansheng Street, Beibei District, Chongqing 400715, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
- Correspondence: (Y.Y.); (H.C.)
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