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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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Watanuki S. Watershed Brain Regions for Characterizing Brand Equity-Related Mental Processes. Brain Sci 2021; 11:brainsci11121619. [PMID: 34942922 PMCID: PMC8699238 DOI: 10.3390/brainsci11121619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/28/2021] [Accepted: 12/02/2021] [Indexed: 12/04/2022] Open
Abstract
Brand equity is an important intangible for enterprises. As one advantage, products with brand equity can increase revenue, compared with those without such equity. However, unlike tangibles, it is difficult for enterprises to manage brand equity because it exists within consumers’ minds. Although, over the past two decades, numerous consumer neuroscience studies have revealed the brain regions related to brand equity, the identification of unique brain regions related to such equity is still controversial. Therefore, this study identifies the unique brain regions related to brand equity and assesses the mental processes derived from these regions. For this purpose, three analysis methods (i.e., the quantitative meta-analysis, chi-square tests, and machine learning) were conducted. The data were collected in accordance with the general procedures of a qualitative meta-analysis. In total, 65 studies (1412 foci) investigating branded objects with brand equity and unbranded objects without brand equity were examined, whereas the neural systems involved for these two brain regions were contrasted. According to the results, the parahippocampal gyrus and the lingual gyrus were unique brand equity-related brain regions, whereas automatic mental processes based on emotional associative memories derived from these regions were characteristic mental processes that discriminate branded from unbranded objects.
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Affiliation(s)
- Shinya Watanuki
- Department of Marketing, Faculty of Commerce, University of Marketing and Distribution Sciences, Kobe 651-2188, Japan
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Reprogramming of H3K9bhb at regulatory elements is a key feature of fasting in the small intestine. Cell Rep 2021; 37:110044. [PMID: 34818540 PMCID: PMC8668154 DOI: 10.1016/j.celrep.2021.110044] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/31/2021] [Accepted: 11/01/2021] [Indexed: 12/25/2022] Open
Abstract
β-hydroxybutyrate (β-OHB) is an essential metabolic energy source during fasting and functions as a chromatin regulator by lysine β-hydroxybutyrylation (Kbhb) modification of the core histones H3 and H4. We report that Kbhb on histone H3 (H3K9bhb) is enriched at proximal promoters of critical gene subsets associated with lipolytic and ketogenic metabolic pathways in small intestine (SI) crypts during fasting. Similar Kbhb enrichment is observed in Lgr5+ stem cell-enriched epithelial spheroids treated with β-OHB in vitro. Combinatorial chromatin state analysis reveals that H3K9bhb is associated with active chromatin states and that fasting enriches for an H3K9bhb-H3K27ac signature at active metabolic gene promoters and distal enhancer elements. Intestinal knockout of Hmgcs2 results in marked loss of H3K9bhb-associated loci, suggesting that local production of β-OHB is responsible for chromatin reprogramming within the SI crypt. We conclude that modulation of H3K9bhb in SI crypts is a key gene regulatory event in response to fasting. Terranova et al. demonstrate that fasting induces production of HMGCS2 and β-hydroxybutyrate in small intestine (SI) crypt cells. This causes enrichment of H3K9bhb within regulatory regions of critical metabolic genes in crypt epithelial cells. Loss of intestinal Hmgcs2 impairs H3K9bhb enrichment and affects expression of H3K9bhb-associated metabolic gene programs.
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Inhibition of food craving is a metabolically active process in the brain in obese men. Int J Obes (Lond) 2019; 44:590-600. [PMID: 31740725 PMCID: PMC7046524 DOI: 10.1038/s41366-019-0484-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 08/29/2019] [Accepted: 09/18/2019] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Obesity is associated with impaired inhibitory control over food intake. We hypothesized that the neural circuitry underlying inhibition of food craving would be impaired in obesity. Here we assessed whether obese men show altered brain responses during attempted cognitive inhibition of craving when exposed to food cues. METHODS Sixteen obese men (32 ± 8.7 years old, BMI = 38.6 ± 7.2) were compared with 11 age-matched non-obese men (BMI 24.2 ± 2.5) using PET and FDG. Brain glucose metabolism was evaluated in a food deprived state: no food stimulation, food stimulation with no inhibition (NI), and food stimulation with attempted inhibition (AI), each on a separate day. Individualized favorite food items were presented prior to and after FDG injection for 40 min. For AI, participants were asked to attempt to inhibit their desire for the food presented. Self-reports for hunger and food desire were recorded. RESULTS Food stimulation compared with no stimulation increased glucose metabolism in inferior and superior frontal gyrus, default mode network and cerebellum, in both groups. For both groups, AI compared with NI-suppressed metabolism in right subgenual anterior cingulate, orbitofrontal areas, bilateral insula, and temporal gyri. There was a stimulation-by-group interaction effect in obese (but not in non-obese) men showing increased metabolism in pregenual anterior cingulate cortex (pgACC) and caudate during AI relative to NI. Changes in the food desire from NI to AI correlated negatively with changes in metabolism in pgACC/caudate in obese but not in non-obese men. CONCLUSIONS Obese men showed higher activation in pgACC/caudate, which are regions involved with self-regulation and emotion/reward during AI. Behavioral associations suggest that successful AI is an active process requiring more energy in obese but not in non-obese men. The additional required effort to increase cognitive control in response to food stimulation in obese compared with non-obese men may contribute to their uncontrolled eating behavior.
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Massar SAA, Lim J, Huettel SA. Sleep deprivation, effort allocation and performance. PROGRESS IN BRAIN RESEARCH 2019; 246:1-26. [PMID: 31072557 DOI: 10.1016/bs.pbr.2019.03.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Sleep deprivation causes physiological alterations (e.g., decreased arousal, intrusion of micro-sleeps), that negatively affect performance on a wide range of cognitive domains. These effects indicate that cognitive performance relies on a capacity-limited system that may be more challenged in the absence of sleep. Additionally, sleep loss can result in a lower willingness to exert effort in the pursuit of performance goals. Such deficits in motivation may interact with the effects of capacity limitations to further stifle cognitive performance. When sleep-deprived, cognitive performance is experienced as more effortful, and intrinsic motivation to perform dwindles. On the other hand, increasing motivation extrinsically (e.g., by monetary incentives) can inspire individuals to allocate more task-related effort, and can partially counter performance deficits associated with sleep deprivation. In this chapter, we review current research on the interplay between sleep deprivation, effort and performance. We integrate these findings into an effort-based decision-making framework in which sleep-related performance impairments may result from a voluntary decision to withdraw effort. We conclude with practical implications of this framework for performance in healthy populations (e.g., work productivity) and clinical conditions.
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Affiliation(s)
- Stijn A A Massar
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
| | - Julian Lim
- Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Scott A Huettel
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States; Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC, United States.
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Zhao J, Li M, Zhang Y, Song H, von Deneen KM, Shi Y, Liu Y, He D. Intrinsic brain subsystem associated with dietary restraint, disinhibition and hunger: an fMRI study. Brain Imaging Behav 2018; 11:264-277. [PMID: 26860835 DOI: 10.1007/s11682-015-9491-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Eating behaviors are closely related to body weight, and eating traits are depicted in three dimensions: dietary restraint, disinhibition, and hunger. The current study aims to explore whether these aspects of eating behaviors are related to intrinsic brain activation, and to further investigate the relationship between the brain activation relating to these eating traits and body weight, as well as the link between function connectivity (FC) of the correlative brain regions and body weight. Our results demonstrated positive associations between dietary restraint and baseline activation of the frontal and the temporal regions (i.e., food reward encoding) and the limbic regions (i.e., homeostatic control, including the hypothalamus). Disinhibition was positively associated with the activation of the frontal motivational system (i.e., OFC) and the premotor cortex. Hunger was positively related to extensive activations in the prefrontal, temporal, and limbic, as well as in the cerebellum. Within the brain regions relating to dietary restraint, weight status was negatively correlated with FC of the left middle temporal gyrus and left inferior temporal gyrus, and was positively associated with the FC of regions in the anterior temporal gyrus and fusiform visual cortex. Weight status was positively associated with the FC within regions in the prefrontal motor cortex and the right ACC serving inhibition, and was negatively related with the FC of regions in the frontal cortical-basal ganglia-thalamic circuits responding to hunger control. Our data depicted an association between intrinsic brain activation and dietary restraint, disinhibition, and hunger, and presented the links of their activations and FCs with weight status.
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Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China.,School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Mintong Li
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Yi Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Karen M von Deneen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Yinggang Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Yijun Liu
- Department of Psychiatry & McKnight Brain Institute, University of Florida, 1149 South Newell Drive, Gainesville, FL, 32610, USA.,Department of Psychology, Southwest University, Chongqing, 400715, China
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China.
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Sun X, Luquet S, Small DM. DRD2: Bridging the Genome and Ingestive Behavior. Trends Cogn Sci 2017; 21:372-384. [PMID: 28372879 DOI: 10.1016/j.tics.2017.03.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 02/10/2017] [Accepted: 03/06/2017] [Indexed: 12/26/2022]
Abstract
Recent work highlights the importance of genetic variants that influence brain structure and function in conferring risk for polygenic obesity. The neurotransmitter dopamine (DA) has a pivotal role in energy balance by integrating metabolic signals with circuits supporting cognitive, perceptual, and appetitive functions that guide feeding. It has also been established that diet and obesity alter DA signaling, leading to compulsive-like feeding and neurocognitive impairments. This raises the possibility that genetic variants that influence DA signaling and adaptation confer risk for overeating and cognitive decline. Here, we consider the role of two common gene variants, FTO and TaqIA rs1800497 in driving gene × environment interactions promoting obesity, metabolic dysfunction, and cognitive change via their influence on DA receptor subtype 2 (DRD2) signaling.
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Affiliation(s)
- Xue Sun
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Serge Luquet
- Université Paris Diderot, Sorbonne Paris Cité, BFA CNRS UMR 8251, Paris, France; Modern Diet and Physiology Research Center, New Haven, CT, USA
| | - Dana M Small
- Modern Diet and Physiology Research Center, New Haven, CT, USA; The John B. Pierce Laboratory, 290 Congress Avenue, New Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Psychology, Yale University, New Haven, CT, USA.
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Small DM. Dopamine Adaptations as a Common Pathway for Neurocognitive Impairment in Diabetes and Obesity: A Neuropsychological Perspective. Front Neurosci 2017; 11:134. [PMID: 28400713 PMCID: PMC5368264 DOI: 10.3389/fnins.2017.00134] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 03/06/2017] [Indexed: 01/06/2023] Open
Abstract
Evidence accumulates linking obesity and diabetes with cognitive dysfunction. At present the mechanism(s) underlying these associations and the relative contribution of diet, adiposity, and metabolic dysfunction are unknown. In this perspective key gaps in knowledge are outlined and an initial sketch of a neuropsychological profile is developed that points toward a critical role for dopamine (DA) adaptations in neurocognitive impairment secondary to diabetes and obesity. The precise mechanisms by which diet, metabolic dysfunction, and adiposity influence the DA system to impact cognition remains unclear and is an important direction for future research.
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Affiliation(s)
- Dana M Small
- The John B Pierce LaboratoryNew Haven, CT, USA; Department of Psychiatry, Yale University School of MedicineNew Haven, CT, USA
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Yao L, Li W, Dai Z, Dong C. Eating behavior associated with gray matter volume alternations: A voxel based morphometry study. Appetite 2015; 96:572-579. [PMID: 26494522 DOI: 10.1016/j.appet.2015.10.017] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Revised: 10/10/2015] [Accepted: 10/15/2015] [Indexed: 12/12/2022]
Abstract
UNLABELLED Little is known about whether eating behavior is associated with alterations of brain structure or whether the possible alterations are related to body weight status. The current study employed structural imaging from an open MRI data set (http://fcon_1000. PROJECTS nitrc.org/indi/pro/nki.html) to examine the relationship between eating behavior traits and brain structural changes. The eating behavior traits were measured by the Three Factor Eating Questionnaire Scale. The brain structural alterations were analyzed using the Voxel Based Morphometry (VBM) method, and a multiple linear regression model was constructed to identify significant brain structural changes that related to eating behavior factors. We found that cognitive restraint of eating was positively correlated with the gray matter volume (GMV) in the dorsolateral prefrontal cortex (DLPFC) and negatively correlated with the GMV in the putamen; disinhibition scores were negatively associated with the GMV in the left middle frontal gyrus; hunger scores showed a positive correlation with the GMV in the hypothalamus and the visual memory areas and a negative association with the GMV in the inferior temporal gyrus and the bilateral middle frontal gyrus. These results indicated a close connection between the eating behavior traits and structural changes in particular brain regions. Conjunction analysis was also performed to further explore the brain structural alterations that were commonly associated with eating behavior and weight status. The findings add to our understanding of the neural basis underlying eating behaviors, and the connection between these behaviors and body weight status.
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Affiliation(s)
- Lizheng Yao
- Department of Radiology, The Affiliated Yancheng Hospital of Southeast University Medical College, Yancheng, 224000, China
| | - Wang Li
- Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China
| | - Zhenyu Dai
- Department of Radiology, The Affiliated Yancheng Hospital of Southeast University Medical College, Yancheng, 224000, China
| | - Congsong Dong
- Department of Radiology, The Affiliated Yancheng Hospital of Southeast University Medical College, Yancheng, 224000, China.
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Obesity is marked by distinct functional connectivity in brain networks involved in food reward and salience. Behav Brain Res 2015; 287:127-34. [DOI: 10.1016/j.bbr.2015.03.016] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 02/05/2015] [Accepted: 03/07/2015] [Indexed: 11/20/2022]
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van der Laan LN, Smeets PAM. You are what you eat: a neuroscience perspective on consumers’ personality characteristics as determinants of eating behavior. Curr Opin Food Sci 2015. [DOI: 10.1016/j.cofs.2014.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Pursey KM, Stanwell P, Callister RJ, Brain K, Collins CE, Burrows TL. Neural responses to visual food cues according to weight status: a systematic review of functional magnetic resonance imaging studies. Front Nutr 2014; 1:7. [PMID: 25988110 PMCID: PMC4428493 DOI: 10.3389/fnut.2014.00007] [Citation(s) in RCA: 150] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Accepted: 06/17/2014] [Indexed: 12/18/2022] Open
Abstract
Emerging evidence from recent neuroimaging studies suggests that specific food-related behaviors contribute to the development of obesity. The aim of this review was to report the neural responses to visual food cues, as assessed by functional magnetic resonance imaging (fMRI), in humans of differing weight status. Published studies to 2014 were retrieved and included if they used visual food cues, studied humans >18 years old, reported weight status, and included fMRI outcomes. Sixty studies were identified that investigated the neural responses of healthy weight participants (n = 26), healthy weight compared to obese participants (n = 17), and weight-loss interventions (n = 12). High-calorie food images were used in the majority of studies (n = 36), however, image selection justification was only provided in 19 studies. Obese individuals had increased activation of reward-related brain areas including the insula and orbitofrontal cortex in response to visual food cues compared to healthy weight individuals, and this was particularly evident in response to energy dense cues. Additionally, obese individuals were more responsive to food images when satiated. Meta-analysis of changes in neural activation post-weight loss revealed small areas of convergence across studies in brain areas related to emotion, memory, and learning, including the cingulate gyrus, lentiform nucleus, and precuneus. Differential activation patterns to visual food cues were observed between obese, healthy weight, and weight-loss populations. Future studies require standardization of nutrition variables and fMRI outcomes to enable more direct comparisons between studies.
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Affiliation(s)
- Kirrilly M Pursey
- School of Health Sciences, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle , Callaghan, NSW , Australia
| | - Peter Stanwell
- School of Health Sciences, Priority Research Centre for Translational Neuroscience and Mental Health, University of Newcastle , Callaghan, NSW , Australia
| | - Robert J Callister
- School of Biomedical Sciences and Pharmacy, Priority Research Centre for Translational Neuroscience and Mental Health, University of Newcastle , Callaghan, NSW , Australia
| | - Katherine Brain
- School of Health Sciences, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle , Callaghan, NSW , Australia
| | - Clare E Collins
- School of Health Sciences, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle , Callaghan, NSW , Australia
| | - Tracy L Burrows
- School of Health Sciences, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle , Callaghan, NSW , Australia
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