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Ravichandran S, Sood R, Das I, Dong T, Figueroa JD, Yang J, Finger N, Vaughan A, Vora P, Selvaraj K, Labus JS, Gupta A. Early life adversity impacts alterations in brain structure and food addiction in individuals with high BMI. Sci Rep 2024; 14:13141. [PMID: 38849441 PMCID: PMC11161480 DOI: 10.1038/s41598-024-63414-z] [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: 02/15/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Obesity and food addiction are associated with distinct brain signatures related to reward processing, and early life adversity (ELA) also increases alterations in these same reward regions. However, the neural mechanisms underlying the effect of early life adversity on food addiction are unknown. Therefore, the aim of this study was to examine the interactions between ELA, food addiction, and brain morphometry in individuals with obesity. 114 participants with high body mass index (BMI) underwent structural MRIs, and completed several questionnaires (e.g., Yale Food Addiction Scale (YFAS), Brief Resilience Scale (BRS), Early Traumatic Inventory (ETI)). Freesurfer 6 was applied to generate the morphometry of brain regions. A multivariate pattern analysis was used to derive brain morphometry patterns associated with food addiction. General linear modeling and mediation analyses were conducted to examine the effects of ELA and resilience on food addiction in individuals with obesity. Statistical significance was determined at a level of p < 0.05. High levels of ELA showed a strong association between reward control brain signatures and food addiction (p = 0.03). Resilience positively mediated the effect of ELA on food addiction (B = 0.02, p = 0.038). Our findings suggest that food addiction is associated with brain signatures in motivation and reward processing regions indicative of dopaminergic dysregulation and inhibition of cognitive control regions. These mechanistic variabilities along with early life adversity suggest increased vulnerability to develop food addiction and obesity in adulthood, which can buffer by the neuroprotective effects of resilience, highlighting the value of incorporating cognitive appraisal into obesity therapeutic regimens.
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Affiliation(s)
- Soumya Ravichandran
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
- UC San Diego School of Medicine, University of California, San Diego, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Isha Das
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Tien Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Johnny D Figueroa
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, USA
| | - Jennifer Yang
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Nicholas Finger
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Allison Vaughan
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Priten Vora
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Katie Selvaraj
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Jennifer S Labus
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
- David Geffen School of Medicine, University of California, Los Angeles, USA.
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Wang J, Dong D, Liu Y, Yang Y, Chen X, He Q, Lei X, Feng T, Qiu J, Chen H. Multivariate resting-state functional connectomes predict and characterize obesity phenotypes. Cereb Cortex 2023; 33:8368-8381. [PMID: 37032621 PMCID: PMC10505423 DOI: 10.1093/cercor/bhad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
The univariate obesity-brain associations have been extensively explored, while little is known about the multivariate associations between obesity and resting-state functional connectivity. We therefore utilized machine learning and resting-state functional connectivity to develop and validate predictive models of 4 obesity phenotypes (i.e. body fat percentage, body mass index, waist circumference, and waist-height ratio) in 3 large neuroimaging datasets (n = 2,992). Preliminary evidence suggested that the resting-state functional connectomes effectively predicted obesity/weight status defined by each obesity phenotype with good generalizability to longitudinal and independent datasets. However, the differences between resting-state functional connectivity patterns characterizing different obesity phenotypes indicated that the obesity-brain associations varied according to the type of measure of obesity. The shared structure among resting-state functional connectivity patterns revealed reproducible neuroimaging biomarkers of obesity, primarily comprising the connectomes within the visual cortex and between the visual cortex and inferior parietal lobule, visual cortex and orbital gyrus, and amygdala and orbital gyrus, which further suggested that the dysfunctions in the perception, attention and value encoding of visual information (e.g. visual food cues) and abnormalities in the reward circuit may act as crucial neurobiological bases of obesity. The recruitment of multiple obesity phenotypes is indispensable in future studies seeking reproducible obesity-brain associations.
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Affiliation(s)
- Junjie Wang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Debo Dong
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Yong Liu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Ximei Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Xu Lei
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
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3
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Kilpatrick LA, An HM, Pawar S, Sood R, Gupta A. Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010. Curr Obes Rep 2023; 12:163-174. [PMID: 36933153 PMCID: PMC10250271 DOI: 10.1007/s13679-023-00498-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/19/2023]
Abstract
PURPOSE OF REVIEW To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research. RECENT FINDINGS Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
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Affiliation(s)
- Lisa A Kilpatrick
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Hyeon Min An
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Shrey Pawar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
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4
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Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol Psychiatry 2023; 28:1466-1479. [PMID: 36918706 DOI: 10.1038/s41380-023-02025-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
Obesity has tripled over the past 40 years to become a major public health issue, as it is linked with increased mortality and elevated risk for various physical and neuropsychiatric illnesses. Accumulating evidence from neuroimaging studies suggests that obesity negatively affects brain function and structure, especially within fronto-mesolimbic circuitry. Obese individuals show abnormal neural responses to food cues, taste and smell, resting-state activity and functional connectivity, and cognitive tasks including decision-making, inhibitory-control, learning/memory, and attention. In addition, obesity is associated with altered cortical morphometry, a lowered gray/white matter volume, and impaired white matter integrity. Various interventions and treatments including bariatric surgery, the most effective treatment for obesity in clinical practice, as well as dietary, exercise, pharmacological, and neuromodulation interventions such as transcranial direct current stimulation, transcranial magnetic stimulation and neurofeedback have been employed and achieved promising outcomes. These interventions and treatments appear to normalize hyper- and hypoactivations of brain regions involved with reward processing, food-intake control, and cognitive function, and also promote recovery of brain structural abnormalities. This paper provides a comprehensive literature review of the recent neuroimaging advances on the underlying neural mechanisms of both obesity and interventions, in the hope of guiding development of novel and effective treatments.
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5
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Dong TS, Guan M, Mayer EA, Stains J, Liu C, Vora P, Jacobs JP, Lagishetty V, Chang L, Barry RL, Gupta A. Obesity is associated with a distinct brain-gut microbiome signature that connects Prevotella and Bacteroides to the brain's reward center. Gut Microbes 2022; 14:2051999. [PMID: 35311453 PMCID: PMC8942409 DOI: 10.1080/19490976.2022.2051999] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The prevalence of obesity has risen to its highest values over the last two decades. While many studies have either shown brain or microbiome connections to obesity, few have attempted to analyze the brain-gut-microbiome relationship in a large cohort adjusting for cofounders. Therefore, we aim to explore the connection of the brain-gut-microbiome axis to obesity controlling for such cofounders as sex, race, and diet. Whole brain resting state functional MRI was acquired, and connectivity and brain network properties were calculated. Fecal samples were obtained from 287 obese and non-obese participants (males n = 99, females n = 198) for 16s rRNA profiling and fecal metabolites, along with a validated dietary questionnaire. Obesity was associated with alterations in the brain's reward network (nucleus accumbens, brainstem). Microbial diversity (p = .03) and composition (p = .03) differed by obesity independent of sex, race, or diet. Obesity was associated with an increase in Prevotella/Bacteroides (P/B) ratio and a decrease in fecal tryptophan (p = .02). P/B ratio was positively correlated to nucleus accumbens centrality (p = .03) and negatively correlated to fecal tryptophan (p = .004). Being Hispanic, eating a standard American diet, having a high Prevotella/Bacteroides ratio, and a high nucleus accumbens centrality were all independent risk factors for obesity. There are obesity-related signatures in the BGM-axis independent of sex, race, and diet. Race, diet, P/B ratio and increased nucleus accumbens centrality were independent risk factors for obesity. P/B ratio was inversely related to fecal tryptophan, a metabolite related to serotonin biosynthesis, and positively related to nucleus accumbens centrality, a region central to the brain's reward center. These findings may expand the field of therapies for obesity through novel pathways directed at the BGM axis.
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Affiliation(s)
- Tien S. Dong
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA,Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA,CONTACT Tien S. Dong Vatche and Tamar Manoukian Division of Digestive Diseases , David Geffen School of Medicine at UCLA; Microbiome Center, David Geffen School of Medicine at UCLA, 10833 Le Conte Avenue Center for Health Sciences 43-133; MC:737818, Los AngelesCA90095
| | - Michelle Guan
- Department of Medicine, David Geffen School of MedicineLos Angeles, USA
| | - Emeran A. Mayer
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Jean Stains
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Cathy Liu
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Priten Vora
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Jonathan P. Jacobs
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA,Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Venu Lagishetty
- Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Lin Chang
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Robert L. Barry
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA,Department of Radiology, Harvard Medical School, Boston, MA, USA,Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, USA
| | - Arpana Gupta
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
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Li Q, Xiang G, Song S, Li Y, Du X, Liu X, Chen H. Sex difference in neural substrates underlying the association between trait self-control and overeating in the COVID-19 pandemic. Neuropsychologia 2021; 163:108083. [PMID: 34742746 PMCID: PMC8571566 DOI: 10.1016/j.neuropsychologia.2021.108083] [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: 07/02/2021] [Revised: 10/24/2021] [Accepted: 11/02/2021] [Indexed: 11/17/2022]
Abstract
During the COVID-19 pandemic, people are at risk of developing disordered eating behaviors. The present study utilized resting-state functional magnetic resonance imaging (fMRI) to examine how trait self-control and its neural mechanisms predict overeating tendencies in young adults during the pandemic. Data on trait self-control, the amplitude of low-frequency fluctuation (ALFF), and resting-state functional connectivity (RSFC) were collected before COVID-19 (September 2019, T1), and data on overeating were collected during COVID-19 (February 2020, T2). Whole-brain regression analyses (N = 538) revealed that higher trait self-control was associated with higher ALFF in the right dorsolateral and ventrolateral prefrontal cortex (DLPFC, VLPFC) and the left anterior insula, and lower ALFF in the left fusiform gyrus and precuneus. With the DLPFC, fusiform gyrus and precuneus as seed regions, trait selfcontrol was associated with decreased connectivity of the orbitofrontal cortex, anterior cingulate cortex, temporal pole, and insula, and increased connectivity between the right VLPFC and anterior cerebellum. Longitudinal mediation models showed that trait self-control (T1) negatively predicted overeating (T2), and the mediating effects of the fusiform gyrus, DLPFC, and VLPFC were moderated by sex. The present study reveals that the brain networks for trait self-control are mainly involved in cognitive and executive control and incentive and emotional processing, demonstrating the longitudinal benefits of trait self-control in alleviating disordered eating behaviors during the pandemic. Sex differences in the neural substrates underlie this association. These finding may have implications of the interventions for behavioral maladjustment.
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Affiliation(s)
- Qingqing Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Guangcan Xiang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Shiqing Song
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Yuhua Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Xiaoli Du
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Xinyuan Liu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
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7
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Syan SK, McIntyre-Wood C, Minuzzi L, Hall G, McCabe RE, MacKillop J. Dysregulated resting state functional connectivity and obesity: A systematic review. Neurosci Biobehav Rev 2021; 131:270-292. [PMID: 34425125 DOI: 10.1016/j.neubiorev.2021.08.019] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 07/13/2021] [Accepted: 08/17/2021] [Indexed: 12/16/2022]
Abstract
Obesity has been variously linked to differences in brain functional connectivity in regions associated with reward, emotional regulation and cognition, potentially revealing neural mechanisms contributing to its development and maintenance. This systematic review summarizes and critically appraises the existing literature on differences in resting state functional connectivity (Rs-FC) between overweight and individuals with obesity in relation healthy-BMI controls. Twenty-nine studies were identified and the results consistently support the hypothesis that obesity is associated with differences in Rs-FC. Specifically, obesity/overweight was consistently associated with (i) DMN hypoconnectivity and salience network hyperconnectivity; (ii) increased Rs-FC between the hypothalamus and reward, limbic and salience networks, and decreased Rs-FC between the hypothalamus and cognitive regions; (iii) increased power within regions associated with inhibition/emotional reasoning; (iv) decreased nodal efficiency, degree centrality, and global efficiency. Collectively, the results suggest obesity is associated with disrupted connectivity of brain networks responsible for cognition, reward, self-referential processing and emotional regulation.
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Affiliation(s)
- Sabrina K Syan
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada.
| | - Carly McIntyre-Wood
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada
| | - Luciano Minuzzi
- Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Randi E McCabe
- Anxiety Treatment and Research Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
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8
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Inter-individual body mass variations relate to fractionated functional brain hierarchies. Commun Biol 2021; 4:735. [PMID: 34127795 PMCID: PMC8203627 DOI: 10.1038/s42003-021-02268-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/06/2021] [Indexed: 02/05/2023] Open
Abstract
Variations in body mass index (BMI) have been suggested to relate to atypical brain organization, yet connectome-level substrates of BMI and their neurobiological underpinnings remain unclear. Studying 325 healthy young adults, we examined associations between functional connectivity and inter-individual BMI variations. We utilized non-linear connectome manifold learning techniques to represent macroscale functional organization along continuous hierarchical axes that dissociate low level and higher order brain systems. We observed an increased differentiation between unimodal and heteromodal association networks in individuals with higher BMI, indicative of a disrupted modular architecture and hierarchy of the brain. Transcriptomic decoding and gene enrichment analyses identified genes previously implicated in genome-wide associations to BMI and specific cortical, striatal, and cerebellar cell types. These findings illustrate functional connectome substrates of BMI variations in healthy young adults and point to potential molecular associations.
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9
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Bhargava A, Arnold AP, Bangasser DA, Denton KM, Gupta A, Hilliard Krause LM, Mayer EA, McCarthy M, Miller WL, Raznahan A, Verma R. Considering Sex as a Biological Variable in Basic and Clinical Studies: An Endocrine Society Scientific Statement. Endocr Rev 2021; 42:219-258. [PMID: 33704446 PMCID: PMC8348944 DOI: 10.1210/endrev/bnaa034] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Indexed: 02/08/2023]
Abstract
In May 2014, the National Institutes of Health (NIH) stated its intent to "require applicants to consider sex as a biological variable (SABV) in the design and analysis of NIH-funded research involving animals and cells." Since then, proposed research plans that include animals routinely state that both sexes/genders will be used; however, in many instances, researchers and reviewers are at a loss about the issue of sex differences. Moreover, the terms sex and gender are used interchangeably by many researchers, further complicating the issue. In addition, the sex or gender of the researcher might influence study outcomes, especially those concerning behavioral studies, in both animals and humans. The act of observation may change the outcome (the "observer effect") and any experimental manipulation, no matter how well-controlled, is subject to it. This is nowhere more applicable than in physiology and behavior. The sex of established cultured cell lines is another issue, in addition to aneuploidy; chromosomal numbers can change as cells are passaged. Additionally, culture medium contains steroids, growth hormone, and insulin that might influence expression of various genes. These issues often are not taken into account, determined, or even considered. Issues pertaining to the "sex" of cultured cells are beyond the scope of this Statement. However, we will discuss the factors that influence sex and gender in both basic research (that using animal models) and clinical research (that involving human subjects), as well as in some areas of science where sex differences are routinely studied. Sex differences in baseline physiology and associated mechanisms form the foundation for understanding sex differences in diseases pathology, treatments, and outcomes. The purpose of this Statement is to highlight lessons learned, caveats, and what to consider when evaluating data pertaining to sex differences, using 3 areas of research as examples; it is not intended to serve as a guideline for research design.
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Affiliation(s)
- Aditi Bhargava
- Center for Reproductive Sciences, San Francisco, CA, USA
- Department of Obstetrics and Gynecology, University of California, San Francisco, CA, USA
| | - Arthur P Arnold
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Debra A Bangasser
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA, USA
| | - Kate M Denton
- Cardiovascular Disease Program, Monash Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Arpana Gupta
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Division of Digestive Diseases, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lucinda M Hilliard Krause
- Cardiovascular Disease Program, Monash Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Emeran A Mayer
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Division of Digestive Diseases, University of California, Los Angeles, Los Angeles, CA, USA
| | - Margaret McCarthy
- Department of Pharmacology and Program in Neuroscience, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Walter L Miller
- Center for Reproductive Sciences, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institutes of Mental Health, Intramural Research Program, Bethesda, MD, USA
| | - Ragini Verma
- Diffusion and Connectomics In Precision Healthcare Research (DiCIPHR) lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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10
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Assari S, Boyce S. Resting-State Functional Connectivity between Putamen and Salience Network and Childhood Body Mass Index. Neurol Int 2021; 13:85-101. [PMID: 33806587 PMCID: PMC8006001 DOI: 10.3390/neurolint13010009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/19/2021] [Accepted: 01/22/2021] [Indexed: 12/16/2022] Open
Abstract
Introduction: Although the putamen has a significant role in reward-seeking and motivated behaviors, including eating and food-seeking, minorities’ diminished returns (MDRs) suggest that individual-level risk and protective factors have weaker effects for Non-Hispanic Black than Non-Hispanic White individuals. However, limited research is available on the relevance of MDRs in terms of the role of putamen functional connectivity on body mass index (BMI). Purpose: Building on the MDRs framework and conceptualizing race and socioeconomic status (SES) indicators as social constructs, we explored racial and SES differences in the associations between putamen functional connectivity to the salience network and children’s BMI. Methods: For this cross-sectional study, we used functional magnetic resonance imaging (fMRI) data of 6473 9–10-year-old Non-Hispanic Black and Non-Hispanic White children from the Adolescent Brain Cognitive Development (ABCD) study. The primary independent variable was putamen functional connectivity to the salience network, measured by fMRI. The primary outcome was the children’s BMI. Age, sex, neighborhood income, and family structure were the covariates. Race, family structure, parental education, and household income were potential moderators. For data analysis, we used mixed-effect models in the overall sample and by race. Results: Higher right putamen functional connectivity to the salience network was associated with higher BMI in Non-Hispanic White children. The same association was missing for Non-Hispanic Black children. While there was no overall association in the pooled sample, a significant interaction was found, suggesting that the association between right putamen functional connectivity to the salience network and children’s BMI was modified by race. Compared to Non-Hispanic White children, Non-Hispanic Black children showed a weaker association between right putamen functional connectivity to the salience network and BMI. While parental education and household income did not moderate our association of interest, marital status altered the associations between putamen functional connectivity to the salience network and children’s BMI. These patterns were observed for right but not left putamen. Other/Mixed Race children also showed a pattern similar to Non-Hispanic Black children. Conclusions: The association between right putamen functional connectivity to the salience network and children’s BMI may depend on race and marital status but not parental education and household income. While right putamen functional connectivity to the salience network is associated with Non-Hispanic White children’s BMI, Non-Hispanic Black children’ BMI remains high regardless of their putamen functional connectivity to the salience network. This finding is in line with MDRs, which attributes diminished effects of individual-risk and protective factors for Non-Hispanic Black children to racism, stratification, and segregation.
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Affiliation(s)
- Shervin Assari
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Correspondence:
| | - Shanika Boyce
- Department of Pediatrics, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA;
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11
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Ravichandran S, Bhatt RR, Pandit B, Osadchiy V, Alaverdyan A, Vora P, Stains J, Naliboff B, Mayer EA, Gupta A. Alterations in reward network functional connectivity are associated with increased food addiction in obese individuals. Sci Rep 2021; 11:3386. [PMID: 33564081 PMCID: PMC7873272 DOI: 10.1038/s41598-021-83116-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/07/2021] [Indexed: 12/19/2022] Open
Abstract
Functional neuroimaging studies in obesity have identified alterations in the connectivity within the reward network leading to decreased homeostatic control of ingestive behavior. However, the neural mechanisms underlying sex differences in the prevalence of food addiction in obesity is unknown. The aim of the study was to identify functional connectivity alterations associated with: (1) Food addiction, (2) Sex- differences in food addiction, (3) Ingestive behaviors. 150 participants (females: N = 103, males: N = 47; food addiction: N = 40, no food addiction: N = 110) with high BMI ≥ 25 kg/m2 underwent functional resting state MRIs. Participants were administered the Yale Food Addiction Scale (YFAS), to determine diagnostic criteria for food addiction (YFAS Symptom Count ≥ 3 with clinically significant impairment or distress), and completed ingestive behavior questionnaires. Connectivity differences were analyzed using a general linear model in the CONN Toolbox and images were segmented using the Schaefer 400, Harvard-Oxford Subcortical, and Ascending Arousal Network atlases. Significant connectivities and clinical variables were correlated. Statistical significance was corrected for multiple comparisons at q < .05. (1) Individuals with food addiction had greater connectivity between brainstem regions and the orbital frontal gyrus compared to individuals with no food addiction. (2) Females with food addiction had greater connectivity in the salience and emotional regulation networks and lowered connectivity between the default mode network and central executive network compared to males with food addiction. (3) Increased connectivity between regions of the reward network was positively associated with scores on the General Food Cravings Questionnaire-Trait, indicative of greater food cravings in individuals with food addiction. Individuals with food addiction showed greater connectivity between regions of the reward network suggesting dysregulation of the dopaminergic pathway. Additionally, greater connectivity in the locus coeruleus could indicate that the maladaptive food behaviors displayed by individuals with food addiction serve as a coping mechanism in response to pathological anxiety and stress. Sex differences in functional connectivity suggest that females with food addiction engage more in emotional overeating and less cognitive control and homeostatic processing compared to males. These mechanistic pathways may have clinical implications for understanding the sex-dependent variability in response to diet interventions.
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Affiliation(s)
- Soumya Ravichandran
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Ravi R Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, USA
| | - Bilal Pandit
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Vadim Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
| | - Anita Alaverdyan
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Priten Vora
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Jean Stains
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Bruce Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
| | - Emeran A Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- Ahmanson-Lovelace Brain Mapping Center, University of California Los Angeles (UCLA), Los Angeles, USA
| | - Arpana Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA.
- David Geffen School of Medicine At UCLA, Los Angeles, USA.
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
- UCLA Microbiome Center, Los Angeles, USA.
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12
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Park BY, Byeon K, Lee MJ, Chung CS, Kim SH, Morys F, Bernhardt B, Dagher A, Park H. Whole-brain functional connectivity correlates of obesity phenotypes. Hum Brain Mapp 2020; 41:4912-4924. [PMID: 32804441 PMCID: PMC7643372 DOI: 10.1002/hbm.25167] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/09/2020] [Accepted: 08/01/2020] [Indexed: 12/11/2022] Open
Abstract
Dysregulated neural mechanisms in reward and somatosensory circuits result in an increased appetitive drive for and reduced inhibitory control of eating, which in turn causes obesity. Despite many studies investigating the brain mechanisms of obesity, the role of macroscale whole‐brain functional connectivity remains poorly understood. Here, we identified a neuroimaging‐based functional connectivity pattern associated with obesity phenotypes by using functional connectivity analysis combined with machine learning in a large‐scale (n ~ 2,400) dataset spanning four independent cohorts. We found that brain regions containing the reward circuit positively associated with obesity phenotypes, while brain regions for sensory processing showed negative associations. Our study introduces a novel perspective for understanding how the whole‐brain functional connectivity correlates with obesity phenotypes. Furthermore, we demonstrated the generalizability of our findings by correlating the functional connectivity pattern with obesity phenotypes in three independent datasets containing subjects of multiple ages and ethnicities. Our findings suggest that obesity phenotypes can be understood in terms of macroscale whole‐brain functional connectivity and have important implications for the obesity neuroimaging community.
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Affiliation(s)
- Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Mi Ji Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Chin-Sang Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Suwon, South Korea
| | - Filip Morys
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.,School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea
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13
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Dong TS, Mayer EA, Osadchiy V, Chang C, Katzka W, Lagishetty V, Gonzalez K, Kalani A, Stains J, Jacobs JP, Longo VD, Gupta A. A Distinct Brain-Gut-Microbiome Profile Exists for Females with Obesity and Food Addiction. Obesity (Silver Spring) 2020; 28:1477-1486. [PMID: 32935533 PMCID: PMC7494955 DOI: 10.1002/oby.22870] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 04/07/2020] [Accepted: 04/21/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Alterations in brain-gut-microbiome interactions have been implicated as an important factor in obesity. This study aimed to explore the relationship between food addiction (FA) and the brain-gut-microbiome axis, using a multi-omics approach involving microbiome data, metabolomics, and brain imaging. METHODS Brain magnetic resonance imaging was obtained in 105 females. FA was defined by using the Yale Food Addiction Scale. Fecal samples were collected for sequencing and metabolomics. Statistical analysis was done by using multivariate analyses and machine learning algorithms. RESULTS Of the females with obesity, 33.3% exhibited FA as compared with 5.3% and 0.0% of females with overweight and normal BMI, respectively (P = 0.0001). Based on a multilevel sparse partial least square discriminant analysis, there was a difference in the gut microbiome of females with FA versus those without. Differential abundance testing showed Bacteroides, Megamonas, Eubacterium, and Akkermansia were statistically associated with FA (q < 0.05). Metabolomics showed that indolepropionic acid was inversely correlated with FA. FA was also correlated with increased connectivity within the brain's reward network, specifically between the intraparietal sulcus, brain stem, and putamen. CONCLUSIONS This is the first study to examine FA along the brain-gut-microbiome axis and it supports the idea of targeting the brain-gut-microbiome axis for the treatment of FA and obesity.
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Affiliation(s)
- Tien S. Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- David Geffen School of Medicine, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Emeran A. Mayer
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- David Geffen School of Medicine, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Vadim Osadchiy
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Candace Chang
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - William Katzka
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Venu Lagishetty
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Kimberly Gonzalez
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Amir Kalani
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Jean Stains
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Jonathan P. Jacobs
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- David Geffen School of Medicine, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Valter D. Longo
- USC Longevity Institute, University of Southern California, Los Angeles
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- David Geffen School of Medicine, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- UCLA Microbiome Center, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
- University of California, Los Angeles, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA
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14
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Neuroimaging of Sex/Gender Differences in Obesity: A Review of Structure, Function, and Neurotransmission. Nutrients 2020; 12:nu12071942. [PMID: 32629783 PMCID: PMC7400469 DOI: 10.3390/nu12071942] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 02/06/2023] Open
Abstract
While the global prevalence of obesity has risen among both men and women over the past 40 years, obesity has consistently been more prevalent among women relative to men. Neuroimaging studies have highlighted several potential mechanisms underlying an individual’s propensity to become obese, including sex/gender differences. Obesity has been associated with structural, functional, and chemical alterations throughout the brain. Whereas changes in somatosensory regions appear to be associated with obesity in men, reward regions appear to have greater involvement in obesity among women than men. Sex/gender differences have also been observed in the neural response to taste among people with obesity. A more thorough understanding of these neural and behavioral differences will allow for more tailored interventions, including diet suggestions, for the prevention and treatment of obesity.
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15
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Kilpatrick L, Pribic T, Ciccantelli B, Malagelada C, Livovsky DM, Accarino A, Pareto D, Azpiroz F, Mayer EA. Sex Differences and Commonalities in the Impact of a Palatable Meal on Thalamic and Insular Connectivity. Nutrients 2020; 12:E1627. [PMID: 32492812 PMCID: PMC7352462 DOI: 10.3390/nu12061627] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/20/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022] Open
Abstract
The neural mechanisms underlying subjective responses to meal ingestion remain incompletely understood. We previously showed in healthy men an increase in thalamocortical, and a decrease in insular-cortical connectivity in response to a palatable meal. As sex is increasingly recognized as an important biological variable, we aimed to evaluate sex differences and commonalities in the impact of a well-liked meal on thalamic and anterior insular connectivity in healthy individuals. Participants (20 women and 20 age-matched men) underwent resting-state magnetic resonance imaging (rsMRI) before and after ingesting a palatable meal. In general, the insula showed extensive postprandial reductions in connectivity with sensorimotor and prefrontal cortices, while the thalamus showed increases in connectivity with insular, frontal, and occipital cortices, in both women and men. However, reductions in insular connectivity were more prominent in men, and were related to changes in meal-related sensations (satiety and digestive well-being) in men only. In contrast, increases in thalamic connectivity were more prominent in women, and were related to changes in satiety and digestive well-being in women only. These results suggest that brain imaging may provide objective and sex-specific biomarkers of the subjective feelings associated with meal ingestion.
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Affiliation(s)
- Lisa Kilpatrick
- Division of Digestive Diseases, G Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA 90095, USA; (L.K.); (E.A.M.)
| | - Teodora Pribic
- Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain; (T.P.); (B.C.); (C.M.); (A.A.)
| | - Barbara Ciccantelli
- Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain; (T.P.); (B.C.); (C.M.); (A.A.)
| | - Carolina Malagelada
- Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain; (T.P.); (B.C.); (C.M.); (A.A.)
| | - Dan M. Livovsky
- Digestive Diseases Institute, Shaare Zedek Medical Center, Hebrew University, 9103102 Jerusalem, Israel;
| | - Anna Accarino
- Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain; (T.P.); (B.C.); (C.M.); (A.A.)
| | - Deborah Pareto
- Radiology Department, University Hospital Vall d’Hebron, 08035 Barcelona, Spain;
| | - Fernando Azpiroz
- Digestive System Research Unit, University Hospital Vall d’Hebron, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain; (T.P.); (B.C.); (C.M.); (A.A.)
| | - Emeran A. Mayer
- Division of Digestive Diseases, G Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, CA 90095, USA; (L.K.); (E.A.M.)
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16
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Zhao J, Sun J, Su C. Gender differences in the relationship between dietary energy and macronutrients intake and body weight outcomes in Chinese adults. Nutr J 2020; 19:45. [PMID: 32423458 PMCID: PMC7236212 DOI: 10.1186/s12937-020-00564-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 05/08/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To explore the gender differences in the relationship between dietary energy and macronutrients intake and body weight outcomes in Chinese adults. METHODS Data from the China Health and Nutrition Survey (CHNS, 2015) for10,898 participants aged 18-64 years. Three consecutive 24-h dietary recalls was used to assess the dietary intake. Quantile regression models for body mass index (BMI) and waist circumference (WC) were performed separately for each sex. RESULTS Adult males showed greater absolute intakes of energy and macronutrients as compared to females as per the body weight outcomes. A 10% increase in BMI resulted in an additional intake of 0.002-0.004 kcal/d of dietary energy, 0.032-0.057 g/d of fats, 0.039-0.084 g/d of proteins, and 0.018-0.028 g/d of carbohydrates across all quantiles in males (p < 0.05). A 10% increase in WC lead to an additional intake of 0.004-0.008 kcal/d of dietary energy, 0.051-0.052 g/d of carbohydrates across the entire quantile in males (p < 0.05), and an increased intake of 0.060-0.150 kcal/d of fat in females (p < 0.05). CONCLUSIONS Dietary fat intake could be the risk factor of abdominal obesity in women. The importance of gender-specific evidence should be considered before promoting macronutrient allocation for the prevention and treatment of obesity.
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Affiliation(s)
- Jian Zhao
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / School of Basic Medicine, Peking Union Medical College, Beijing, 100005 China
| | - Jian Sun
- School of Public Health & Management, Ningxia Medical University, Yinchuan, 750004 Ningxia China
| | - Chang Su
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Number 29, Nanwei Road, Xicheng District, Beijing, 100050 China
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Osadchiy V, Mayer EA, Bhatt R, Labus JS, Gao L, Kilpatrick LA, Liu C, Tillisch K, Naliboff B, Chang L, Gupta A. History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity. Obes Sci Pract 2019; 5:416-436. [PMID: 31687167 PMCID: PMC6819979 DOI: 10.1002/osp4.362] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Neuroimaging studies have identified obesity-related differences in the brain's resting state activity. An imbalance between homeostatic and reward aspects of ingestive behaviour may contribute to obesity and food addiction. The interactions between early life adversity (ELA), the reward network and food addiction were investigated to identify obesity and sex-related differences, which may drive obesity and food addiction. METHODS Functional resting state magnetic resonance imaging was acquired in 186 participants (high body mass index [BMI]: ≥25: 53 women and 54 men; normal BMI: 18.50-24.99: 49 women and 30 men). Participants completed questionnaires to assess ELA (Early Traumatic Inventory) and food addiction (Yale Food Addiction Scale). A tripartite network analysis based on graph theory was used to investigate the interaction between ELA, brain connectivity and food addiction. Interactions were determined by computing Spearman rank correlations, thresholded at q < 0.05 corrected for multiple comparisons. RESULTS Participants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction. Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions. Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction. CONCLUSIONS The findings suggest that ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life. These alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.
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Affiliation(s)
- V. Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - E. A. Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Ahmanson‐Lovelace Brain Mapping CenterUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - R. Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - J. S. Labus
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Gao
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. A. Kilpatrick
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - C. Liu
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - K. Tillisch
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - B. Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Chang
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - A. Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
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Poulimeneas D, Yannakoulia M, Anastasiou CA, Scarmeas N. Weight Loss Maintenance: Have We Missed the Brain? Brain Sci 2018; 8:brainsci8090174. [PMID: 30208568 PMCID: PMC6162665 DOI: 10.3390/brainsci8090174] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 09/06/2018] [Accepted: 09/06/2018] [Indexed: 12/29/2022] Open
Abstract
Even though obese individuals often succeed with weight loss, long-term weight loss maintenance remains elusive. Dietary, lifestyle and psychosocial correlates of weight loss maintenance have been researched, yet the nature of maintenance is still poorly understood. Studying the neural processing of weight loss maintainers may provide a much-needed insight towards sustained obesity management. In this narrative review, we evaluate and critically discuss available evidence regarding the food-related neural responses of weight loss maintainers, as opposed to those of obese or lean persons. While research is still ongoing, available data indicate that following weight loss, maintainers exhibit persistent reward related feeling over food, similar to that of obese persons. However, unlike in obese persons, in maintainers, reward-related brain activity appears to be counteracted by subsequently heightened inhibition. These findings suggest that post-dieting, maintainers acquire a certain level of cognitive control which possibly protects them from weight regaining. The prefrontal cortex, as well as the limbic system, encompass key regions of interest for weight loss maintenance, and their contributions to long term successful weight loss should be further explored. Future possibilities and supportive theories are discussed.
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Affiliation(s)
- Dimitrios Poulimeneas
- Department of Nutrition and Dietetics, Harokopio University, GR 17676 Athens, Greece.
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, GR 17676 Athens, Greece.
| | - Costas A Anastasiou
- Department of Nutrition and Dietetics, Harokopio University, GR 17676 Athens, Greece.
- Eginition Hospital, 1st Neurology Clinic, Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, GR 15772 Athens, Greece.
| | - Nikolaos Scarmeas
- Eginition Hospital, 1st Neurology Clinic, Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, GR 15772 Athens, Greece.
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY 10027, USA.
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