1
|
Balantekin KN, Kretz MJ, Mietlicki-Baase EG. The emerging role of glucagon-like peptide 1 in binge eating. J Endocrinol 2024; 262:e230405. [PMID: 38642585 PMCID: PMC11156433 DOI: 10.1530/joe-23-0405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/16/2024] [Indexed: 04/22/2024]
Abstract
Binge eating is a central component of two clinical eating disorders: binge eating disorder and bulimia nervosa. However, the large treatment gap highlights the need to identify other strategies to decrease binge eating. Novel pharmacotherapies may be one such approach. Glucagon-like peptide-1 (GLP-1) is an intestinal and brain-derived neuroendocrine signal with a critical role in promoting glycemic control through its incretin effect. Additionally, the energy balance effects of GLP-1 are well-established; activation of the GLP-1 receptor (GLP-1R) reduces food intake and body weight. Aligned with these beneficial metabolic effects, there are GLP-1R agonists that are currently used for the treatment of diabetes and obesity. A growing body of literature suggests that GLP-1 may also play an important role in binge eating. Dysregulation of the endogenous GLP-1 system is associated with binge eating in non-human animal models, and GLP-1R agonists may be a promising approach to suppress the overconsumption that occurs during binge eating. Here, we briefly discuss the role of GLP-1 in normal energy intake and reward and then review the emerging evidence suggesting that disruptions to GLP-1 signaling are associated with binge eating. We also consider the potential utility of GLP-1-based pharmacotherapies for reducing binge eating behavior.
Collapse
Affiliation(s)
- Katherine N. Balantekin
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214 USA
- Center for Ingestive Behavior Research, University at Buffalo, Buffalo, NY 14260 USA
| | - Martin J. Kretz
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214 USA
| | - Elizabeth G. Mietlicki-Baase
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214 USA
- Center for Ingestive Behavior Research, University at Buffalo, Buffalo, NY 14260 USA
| |
Collapse
|
2
|
Hill L. Temperament impact on eating disorder symptoms and habit formation: a novel model to inform treatment. J Eat Disord 2024; 12:40. [PMID: 38504375 PMCID: PMC10953227 DOI: 10.1186/s40337-024-00998-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/14/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Temperament has long been described as the biological dimension of personality. Due to advancing brain-imaging technology, our understanding of temperament has deepened and transformed over the last 25 years. Temperament combines genetic, neurobiological and trait research. Temperament has been included peripherally in some eating disorder (ED) treatment approaches but has been ignored by most. Temperament fills a fundamental treatment gap by clarifying who is more vulnerable to develop ED and why some individuals are susceptible to specific ED symptoms while others are not. In addition, temperament targets possible treatment solutions. MAIN TEXT There is a need for a novel model that incorporates and explores the role of temperament in ED treatment intervention. This paper is a metaphoric temperament model to inform treatment intervention. It describes how temperament traits influences new decisions which impact new behavioural responses. In turn, it neurobiologically tracks how and why the brain efficiently transforms new decisions into new habits. This model integrates both temperament and habit research to explore (a) what temperament is; (b) how new decisions develop into habits neurobiologically; (c) that the brain wires destructive symptoms into habits in the same way that it wires healthy/productive behaviours into habits; (d) traits that trigger ED symptoms are the same traits that influence productive behaviours; and in regard to treatment implications (e) when treatment structure and intervention target client temperaments, the potential for new healthy "trait-syntonic" habits could develop. CONCLUSIONS This paper introduces a metaphoric model that synthesizes and integrates temperament neurobiological and trait findings with ED symptoms, habits, and client trait-based solutions. The model synthesizes and integrates different research domains to establish a brain-based foundation to inform treatment intervention. The model targets clients' temperament traits as central collections of innate self-expressions that could be utilized as tools to redirect client trait-syntonic ED responses into trait-syntonic productive outcomes. The brain bases of temperament and habit formation serve as a biological foundation for ED treatment intervention.
Collapse
Affiliation(s)
- Laura Hill
- Department of Psychiatry, University of California, San Diego, CA, USA.
- Adjunct Associate Clinical Professor of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.
| |
Collapse
|
3
|
Martin E, Cao M, Schulz KP, Hildebrandt T, Sysko R, Berner LA, Li X. Distinct Topological Properties of the Reward Anticipation Network in Preadolescent Children With Binge Eating Disorder Symptoms. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00120-5. [PMID: 38461893 DOI: 10.1016/j.jaac.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 02/01/2024] [Accepted: 03/01/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE Few studies have considered the neural underpinnings of binge eating disorder (BED) in children, despite clinical and subclinical symptom presentation occurring in this age group. Symptom presentation at this age is of clinical relevance, as early onset of binge eating is linked to negative health outcomes. Studies in adults have highlighted dysfunction in the frontostriatal reward system as a potential candidate for binge eating pathophysiology, although the exact nature of such dysfunction is currently unclear. METHOD Data from 83 children (mean age 9.9 years, SD = 0.60) with symptoms of BED (57% girls) and 123 control participants (mean age 10.0 years, SD = 0.60) (52% girls) were acquired from the 4.0 baseline release of the Adolescent Brain Cognitive Development Study. Task-based graph theoretic techniques were used to analyze data from anticipation trials of the monetary incentive delay task. Network and nodal properties were compared between groups. RESULTS The BED-S group showed alterations in topological properties associated with the frontostriatal subnetwork, such as reduced nodal efficiency in the superior frontal gyrus, nucleus accumbens, putamen, and in normal sex-difference patterns of these properties, such as diminished girls-greater-than-boys pattern of betweenness-centrality in nucleus accumbens observed in controls. CONCLUSION Distinct network properties and sex-difference patterns in preadolescent children with BED-S suggest dysregulation in the reward system compared to those of matched controls. For the first time, these results quantify this dysregulation in terms of systems-level properties during anticipation of monetary reward and significantly inform the early and sex-related brain markers of BED symptoms.
Collapse
Affiliation(s)
- Elizabeth Martin
- Icahn School of Medicine at Mount Sinai, New York, New Jersey; New Jersey Institute of Technology, Newark, New Jersey
| | - Meng Cao
- New Jersey Institute of Technology, Newark, New Jersey
| | - Kurt P Schulz
- Icahn School of Medicine at Mount Sinai, New York, New Jersey
| | - Tom Hildebrandt
- Icahn School of Medicine at Mount Sinai, New York, New Jersey
| | - Robyn Sysko
- Icahn School of Medicine at Mount Sinai, New York, New Jersey
| | - Laura A Berner
- Icahn School of Medicine at Mount Sinai, New York, New Jersey
| | - Xiaobo Li
- New Jersey Institute of Technology, Newark, New Jersey.
| |
Collapse
|
4
|
Hu Y, Pan Y, Yue L, Gao X. Self-objectification and eating disorders: the psychopathological and neural processes from psychological distortion to psychosomatic illness. PSYCHORADIOLOGY 2024; 4:kkae003. [PMID: 38666139 PMCID: PMC10946225 DOI: 10.1093/psyrad/kkae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 01/30/2024] [Accepted: 02/27/2024] [Indexed: 04/28/2024]
Affiliation(s)
- Yinying Hu
- Department of Applied Psychology, School of Psychology, Shanghai Normal University, Shanghai, Shanghai 200234, China
| | - Yafeng Pan
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, Zhejaing 310058, China
| | - Liming Yue
- Department of Applied Psychology, School of Psychology, Shanghai Normal University, Shanghai, Shanghai 200234, China
| | - Xiangping Gao
- Department of Applied Psychology, School of Psychology, Shanghai Normal University, Shanghai, Shanghai 200234, China
- Shanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, Shanghai 200234, China
| |
Collapse
|
5
|
Li W, Chen X, Luo Y, Xiao M, Liu Y, Chen H. Altered connectivity patterns of medial and lateral orbitofrontal cortex underlie the severity of bulimic symptoms. Int J Clin Health Psychol 2024; 24:100439. [PMID: 38226007 PMCID: PMC10788814 DOI: 10.1016/j.ijchp.2024.100439] [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: 09/26/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024] Open
Abstract
Objective Compared to clinical bulimia nervosa, sub-threshold bulimic symptoms are becoming more prevalent in non-clinical or general population, which is repeatedly linked with the connectivity in orbitofrontal cortex (OFC), including functionally heterogeneous the medial and lateral OFC (mOFC; lOFC). However, the specific connectivity patterns of the mOFC and lOFC in individuals with severe or mild bulimic symptoms (SB; MB) remain poorly understood. Methods We first utilized resting-state functional connectivity (FC) and spectral dynamic causal modeling (spDCM) to investigate abnormal functional and effective connectivity (EC) of OFC subregions in adults with different severity of bulimic. The SB group (n = 21), MB group (n = 114), and healthy controls (HC, n = 91) underwent rs-fMRI scans. A generalized linear model was applied to determine the OFC-seeded whole-brain FC across the three groups. Subsequently, spDCM was used to estimate differences in EC among the three groups based on the FC results. Results We observed a shared neural basis for SB and MB groups (i.e., weaker lOFC-superior parietal lobule connectivity), which may support the role of dysfunctional inhibitory control in general bulimic symptomatology. Whereas, SB group displayed greater lOFC-occipital pole connectivity than MB group, suggesting the specificity of the neural correlates of full-threshold/severe bulimia. The directional links from the mOFC to lOFC and amygdala could further explain the aberrant interactions of reward sensitivity with inhibitory control and homeostatic energy in sub-threshold/mild condition. Conclusion The current study provides novel evidence that divergent connectivity patterns of the lOFC and mOFC may contribute to different severities of bulimia, which will expands our understanding of the neurobiological substrates underlying bulimia across a spectrum from healthy to unhealthy.
Collapse
Affiliation(s)
- Wei Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yijun Luo
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yong Liu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
- 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
- Faculty of Psychology, Southwest University, Chongqing 400715, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China
| |
Collapse
|
6
|
Griffiths KR, Breukelaar IA, Harvie G, Yang J, Foster SL, Harris AW, Clarke S, Hay PJ, Touyz S, Korgaonkar MS, Kohn MR. Functional Connectivity Mechanisms Underlying Symptom Reduction Following Lisdexamfetamine Treatment in Binge-Eating Disorder: A Clinical Trial. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:317-325. [PMID: 38298797 PMCID: PMC10829641 DOI: 10.1016/j.bpsgos.2023.08.016] [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: 05/25/2023] [Revised: 08/03/2023] [Accepted: 08/21/2023] [Indexed: 02/02/2024] Open
Abstract
Background Speculation exists as to whether lisdexamfetamine dimesylate (LDX) acts on the functional connectivity (FC) of brain networks that modulate appetite, reward, or inhibitory control in binge-eating disorder (BED). Better insights into its action may help guide the development of more targeted therapeutics and identify who will benefit most from this medication. Here, we use a comprehensive data-driven approach to investigate the brain FC changes that underlie the therapeutic action of LDX in patients with BED. Methods Forty-six participants with moderate to severe BED received LDX titrated to 50 or 70 mg for an 8-week period. Twenty age-matched healthy control participants were also recruited. Resting-state functional magnetic resonance imaging was used to probe changes in brain FC pre- and post treatment and correlated with change in clinical measures. Results Ninety-seven percent of trial completers (n = 31) experienced remission or a reduction to mild BED during the 8-week LDX trial. Widespread neural FC changes occurred, with changes in default mode to limbic, executive control to subcortical, and default mode to executive control networks associated with improvements in clinical outcomes. These connections were not distinct from control participants at pretreatment but were different from control participants following LDX treatment. Pretreatment connectivity did not predict treatment response. Conclusions FC between networks associated with self-referential processing, executive function, and reward seem to underlie the therapeutic effect of LDX in BED. This suggests that LDX activates change via multiple systems, with most changes in compensatory networks rather than in those characterizing the BED diagnosis.
Collapse
Affiliation(s)
- Kristi R. Griffiths
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
- InsideOut Institute, University of Sydney, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Isabella A. Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Grace Harvie
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Jenny Yang
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Sheryl L. Foster
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
- Department of Radiology, Westmead Hospital, Sydney, New South Wales, Australia
| | - Anthony W. Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
- Specialty of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Simon Clarke
- Centre for Research into Adolescents’ Health, University of Sydney, Sydney, New South Wales, Australia
- Adolescent and Young Adult Medicine, Westmead Hospital, Sydney, New South Wales, Australia
| | - Phillipa J. Hay
- Translational Health Research Institute, School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
- Mental Health Services, Camden and Campbelltown Hospitals, South Western Sydney Local Health District, Sydney, New South Wales, Australia
| | - Stephen Touyz
- InsideOut Institute, University of Sydney, Sydney Local Health District, Sydney, New South Wales, Australia
- Clinical Psychology Unit, School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| | - Mayuresh S. Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
| | - Michael R. Kohn
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, New South Wales, Australia
- Centre for Research into Adolescents’ Health, University of Sydney, Sydney, New South Wales, Australia
- Adolescent and Young Adult Medicine, Westmead Hospital, Sydney, New South Wales, Australia
- Clinical Psychology Unit, School of Psychology, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
7
|
Forester G, Johnson JS, Reilly EE, Lloyd EC, Johnson E, Schaefer LM. Back to the future: Progressing memory research in eating disorders. Int J Eat Disord 2023; 56:2032-2048. [PMID: 37594119 PMCID: PMC10843822 DOI: 10.1002/eat.24045] [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] [Received: 05/04/2023] [Revised: 07/17/2023] [Accepted: 08/02/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE Human behaviors, thoughts, and emotions are guided by memories of the past. Thus, there can be little doubt that memory plays a fundamental role in the behaviors (e.g., binging), thoughts (e.g., body-image concerns), and emotions (e.g., guilt) that characterize eating disorders (EDs). Although a growing body of research has begun to investigate the role of memory in EDs, this literature is limited in numerous ways and has yet to be integrated into an overarching framework. METHODS In the present article, we provide an operational framework for characterizing different domains of memory, briefly review existing ED memory research within this framework, and highlight crucial gaps in the literature. RESULTS We distinguish between three domains of memory-episodic, procedural, and working-which differ based on functional attributes and underlying neural systems. Most recent ED memory research has focused on procedural memory broadly defined (e.g., reinforcement learning), and findings within all three memory domains are highly mixed. Further, few studies have attempted to assess these different domains simultaneously, though most behavior is achieved through coordination and competition between memory systems. We, therefore, offer recommendations for how to move ED research forward within each domain of memory and how to study the interactions between memory systems, using illustrative examples from other areas of basic and clinical research. DISCUSSION A stronger and more integrated understanding of the mechanisms that connect memory of past experiences to present ED behavior may yield more comprehensive theoretical models of EDs that guide novel treatment approaches. PUBLIC SIGNIFICANCE Memories of previous eating-related experiences may contribute to the onset and maintenance of eating disorders (EDs). However, research on the role of memory in EDs is limited, and distinct domains of ED memory research are rarely connected. We, therefore, offer a framework for organizing, progressing, and integrating ED memory research, to provide a better foundation for improving ED treatment and intervention going forward.
Collapse
Affiliation(s)
- Glen Forester
- Center for Biobehavioral Research, Sanford Research, Fargo, North Dakota, USA
| | - Jeffrey S. Johnson
- Center for Biobehavioral Research, Sanford Research, Fargo, North Dakota, USA
- Department of Psychology, North Dakota State University, Fargo, North Dakota, USA
| | - Erin E. Reilly
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA
| | - E. Caitlin Lloyd
- Columbia University Irving Medical Center, New York, New York, USA
- New York State Psychiatric Institute, New York, New York, USA
| | - Emily Johnson
- Department of Psychology, North Dakota State University, Fargo, North Dakota, USA
| | - Lauren M. Schaefer
- Center for Biobehavioral Research, Sanford Research, Fargo, North Dakota, USA
- Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, Grand Forks, North Dakota, USA
| |
Collapse
|
8
|
Murray SB, Diaz-Fong JP, Duval CJ, Balkchyan AA, Nagata JM, Lee DJ, Ganson KT, Toga AW, Siegel SJ, Jann K. Sex differences in regional gray matter density in pre-adolescent binge eating disorder: a voxel-based morphometry study. Psychol Med 2023; 53:6077-6089. [PMID: 36305572 DOI: 10.1017/s0033291722003269] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Binge eating disorder (BED) is a pernicious psychiatric disorder which is linked with broad medical and psychiatric morbidity, and obesity. While BED may be characterized by altered cortical morphometry, no evidence to date examined possible sex-differences in regional gray matter characteristics among those with BED. This is especially important to consider in children, where BED symptoms often emerge coincident with rapid gray matter maturation. METHODS Pre-adolescent, 9-10-year old boys (N = 38) and girls (N = 33) with BED were extracted from the 3.0 baseline (Year 0) release of the Adolescent Brain Cognitive Development Study. We investigated sex differences in gray matter density (GMD) via voxel-based morphometry. Control sex differences were also assessed in age and body mass index and developmentally matched control children (boys N = 36; girls N = 38). Among children with BED, we additionally assessed the association between dorsolateral prefrontal (dlPFC) GMD and parent-reported behavioral approach and inhibition tendencies. RESULTS Girls with BED uniquely demonstrate diffuse clusters of greater GMD (p < 0.05, Threshold Free Cluster Enhancement corrected) in the (i) left dlPFC (p = 0.003), (ii) bilateral dmPFC (p = 0.004), (iii) bilateral primary motor and somatosensory cortex (p = 0.0003) and (iv) bilateral precuneus (p = 0.007). Brain-behavioral associations suggest a unique negative correlation between GMD in the left dlPFC and behavioral approach tendencies among girls with BED. CONCLUSIONS Early-onset BED may be characterized by regional sex differences in terms of its underlying gray matter morphometry.
Collapse
Affiliation(s)
- Stuart B Murray
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Joel P Diaz-Fong
- Department of Psychiatry & Behavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA, USA
| | - Christina J Duval
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Ane A Balkchyan
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Darrin J Lee
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA
- USC Neurorestoration Center, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada
| | - Arthur W Toga
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Steven J Siegel
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Kay Jann
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
9
|
Calder A, Mock S, Friedli N, Pasi P, Hasler G. Psychedelics in the treatment of eating disorders: Rationale and potential mechanisms. Eur Neuropsychopharmacol 2023; 75:1-14. [PMID: 37352816 DOI: 10.1016/j.euroneuro.2023.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/25/2023] [Accepted: 05/28/2023] [Indexed: 06/25/2023]
Abstract
Eating disorders are serious illnesses showing high rates of mortality and comorbidity with other mental health problems. Psychedelic-assisted therapy has recently shown potential in the treatment of several common comorbidities of eating disorders, including mood disorders, post-traumatic stress disorder, and substance use disorders. The theorized therapeutic mechanisms of psychedelic-assisted therapy suggest that it could be beneficial in the treatment of eating disorders as well. In this review, we summarize preliminary data on the efficacy of psychedelic-assisted therapy in people with anorexia nervosa, bulimia nervosa, and binge eating disorder, which include studies and case reports of psychedelic-assisted therapy with ketamine, MDMA, psilocybin, and ayahuasca. We then discuss the potential therapeutic mechanisms of psychedelic-assisted therapy in these three eating disorders, including both general therapeutic mechanisms and those which are relatively specific to eating disorders. We find preliminary evidence that psychedelic-assisted therapy may be effective in the treatment of anorexia nervosa and bulimia nervosa, with very little data available on binge eating disorder. Regarding mechanisms, psychedelic-assisted therapy may be able to improve beliefs about body image, normalize reward processing, promote cognitive flexibility, and facilitate trauma processing. Just as importantly, it appears to promote general therapeutic factors relevant to both eating disorders and many of their common comorbidities. Lastly, we discuss potential safety concerns which may be associated with these treatments and present recommendations for future research.
Collapse
Affiliation(s)
- Abigail Calder
- University Center for Psychiatric Research, University of Fribourg, Chemin du Cardinal-Journet 3, 1752 Villars-sur-Glâne, Switzerland
| | - Seline Mock
- University Center for Psychiatric Research, University of Fribourg, Chemin du Cardinal-Journet 3, 1752 Villars-sur-Glâne, Switzerland
| | - Nicole Friedli
- University Center for Psychiatric Research, University of Fribourg, Chemin du Cardinal-Journet 3, 1752 Villars-sur-Glâne, Switzerland
| | - Patrick Pasi
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Switzerland
| | - Gregor Hasler
- University Center for Psychiatric Research, University of Fribourg, Chemin du Cardinal-Journet 3, 1752 Villars-sur-Glâne, Switzerland.
| |
Collapse
|
10
|
Chen X, Dong D, Zhou F, Gao X, Liu Y, Wang J, Qin J, Tian Y, Xiao M, Xu X, Li W, Qiu J, Feng T, He Q, Lei X, Chen H. Connectome-based prediction of eating disorder-associated symptomatology. Psychol Med 2023; 53:5786-5799. [PMID: 36177890 DOI: 10.1017/s0033291722003026] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Despite increasing knowledge on the neuroimaging patterns of eating disorder (ED) symptoms in non-clinical populations, studies using whole-brain machine learning to identify connectome-based neuromarkers of ED symptomatology are absent. This study examined the association of connectivity within and between large-scale functional networks with specific symptomatic behaviors and cognitions using connectome-based predictive modeling (CPM). METHODS CPM with ten-fold cross-validation was carried out to probe functional networks that were predictive of ED-associated symptomatology, including body image concerns, binge eating, and compensatory behaviors, within the discovery sample of 660 participants. The predictive ability of the identified networks was validated using an independent sample of 821 participants. RESULTS The connectivity predictive of body image concerns was identified within and between networks implicated in cognitive control (frontoparietal and medial frontal), reward sensitivity (subcortical), and visual perception (visual). Crucially, the set of connections in the positive network related to body image concerns identified in one sample was generalized to predict body image concerns in an independent sample, suggesting the replicability of this effect. CONCLUSIONS These findings point to the feasibility of using the functional connectome to predict ED symptomatology in the general population and provide the first evidence that functional interplay among distributed networks predicts body shape/weight concerns.
Collapse
Affiliation(s)
- Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xiao Gao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yong Liu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Junjie Wang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jingmin Qin
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yun Tian
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xiaofei Xu
- School of Computing Technologies, RMIT University, Melbourne, Australia
| | - Wei Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Xu Lei
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
| |
Collapse
|
11
|
Murray SB, Alba C, Duval CJ, Nagata JM, Cabeen RP, Lee DJ, Toga AW, Siegel SJ, Jann K. Aberrant functional connectivity between reward and inhibitory control networks in pre-adolescent binge eating disorder. Psychol Med 2023; 53:3869-3878. [PMID: 35301976 DOI: 10.1017/s0033291722000514] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Behavioral features of binge eating disorder (BED) suggest abnormalities in reward and inhibitory control. Studies of adult populations suggest functional abnormalities in reward and inhibitory control networks. Despite behavioral markers often developing in children, the neurobiology of pediatric BED remains unstudied. METHODS 58 pre-adolescent children (aged 9-10-years) with BED (mBMI = 25.05; s.d. = 5.40) and 66 age, BMI and developmentally matched control children (mBMI = 25.78; s.d. = 0.33) were extracted from the 3.0 baseline (Year 0) release of the Adolescent Brain Cognitive Development (ABCD) Study. We investigated group differences in resting-state functional MRI functional connectivity (FC) within and between reward and inhibitory control networks. A seed-based approach was employed to assess nodes in the reward [orbitofrontal cortex (OFC), nucleus accumbens, amygdala] and inhibitory control [dorsolateral prefrontal cortex, anterior cingulate cortex (ACC)] networks via hypothesis-driven seed-to-seed analyses, and secondary seed-to-voxel analyses. RESULTS Findings revealed reduced FC between the dlPFC and amygdala, and between the ACC and OFC in pre-adolescent children with BED, relative to controls. These findings indicating aberrant connectivity between nodes of inhibitory control and reward networks were corroborated by the whole-brain FC analyses. CONCLUSIONS Early-onset BED may be characterized by diffuse abnormalities in the functional synergy between reward and cognitive control networks, without perturbations within reward and inhibitory control networks, respectively. The decreased capacity to regulate a reward-driven pursuit of hedonic foods, which is characteristic of BED, may in part, rest on this dysconnectivity between reward and inhibitory control networks.
Collapse
Affiliation(s)
- Stuart B Murray
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Celina Alba
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Christina J Duval
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Ryan P Cabeen
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Darrin J Lee
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA
- USC Neurorestoration Center, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Arthur W Toga
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Steven J Siegel
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Kay Jann
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
12
|
Bourdy R, Befort K. The Role of the Endocannabinoid System in Binge Eating Disorder. Int J Mol Sci 2023; 24:ijms24119574. [PMID: 37298525 DOI: 10.3390/ijms24119574] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Eating disorders are multifactorial disorders that involve maladaptive feeding behaviors. Binge eating disorder (BED), the most prevalent of these in both men and women, is characterized by recurrent episodes of eating large amounts of food in a short period of time, with a subjective loss of control over eating behavior. BED modulates the brain reward circuit in humans and animal models, which involves the dynamic regulation of the dopamine circuitry. The endocannabinoid system plays a major role in the regulation of food intake, both centrally and in the periphery. Pharmacological approaches together with research using genetically modified animals have strongly highlighted a predominant role of the endocannabinoid system in feeding behaviors, with the specific modulation of addictive-like eating behaviors. The purpose of the present review is to summarize our current knowledge on the neurobiology of BED in humans and animal models and to highlight the specific role of the endocannabinoid system in the development and maintenance of BED. A proposed model for a better understanding of the underlying mechanisms involving the endocannabinoid system is discussed. Future research will be necessary to develop more specific treatment strategies to reduce BED symptoms.
Collapse
Affiliation(s)
- Romain Bourdy
- Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA), Université de Strasbourg, UMR7364, CNRS, 12 Rue Goethe, 67000 Strasbourg, France
| | - Katia Befort
- Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA), Université de Strasbourg, UMR7364, CNRS, 12 Rue Goethe, 67000 Strasbourg, France
| |
Collapse
|
13
|
Cui Q, Chen Y, Tang Q, Sheng W, Li D, Zeng Y, Jiang K, He Z, Chen H. Neural mechanisms of aberrant self-referential processing in patients with generalized anxiety disorder. Prog Neuropsychopharmacol Biol Psychiatry 2022; 119:110595. [PMID: 35787397 DOI: 10.1016/j.pnpbp.2022.110595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/07/2022] [Accepted: 06/27/2022] [Indexed: 10/17/2022]
Abstract
Massive theoretical studies in clinical psychology have implicated the self in understanding internalizing disorders (i.e., anxiety and mood disorders), in which self-related tasks were frequently used to investigate internalizing psychopathology. As one of the most frequently seen internalizing disorder in primary care, patients with generalized anxiety disorder (GAD) are characterized by inappropriate self-related processing such as negative self-referential thinking. However, relevant neural mechanisms remain unknown. In this study, participants underwent a self-related task which they were presented with several positive and negative trait words and were required to judge the extent to which these traits matched themselves when compared to their average peers. Aberrant brain activation and functional connectivity of GAD were detected during processing positive and negative traits. Compared to healthy controls (HCs), patients with GAD exhibited abnormal self-processing which manifested as lower biased self-rating scores particularly for negative traits and weaker brain activity in the left dorsomedial prefrontal cortex, inferior frontal gyrus, superior temporal sulcus (STS), and bilateral lingual gyrus when processing trait words. Abnormal functional connections between these hypoactive regions and regions associated with reward, emotion, and theory of mind were observed in subsequent psychophysiological interaction analysis. An attenuation of connectivity between the left insula and left STS was associated with greater severity of anxiety symptom in GAD patients. These findings provide insight into the abnormal neurocognitive mechanisms of biased self-related processing in GAD patients, which involves distorted self-schema accompanied by abnormal activation and functional connections of regions implicated in self-related and social cognition processing.
Collapse
Affiliation(s)
- Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuhong Zeng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Kexing Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- Department of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China; MOE Key Lab for Neuroinformation; High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
| |
Collapse
|
14
|
Presseller EK, Lampe EW, Nunez N, Juarascio AS. Latent profiles of dietary restraint among individuals with binge-spectrum eating disorders: Associations with eating disorder symptom severity. Int J Eat Disord 2022; 55:1843-1852. [PMID: 36161726 PMCID: PMC9742196 DOI: 10.1002/eat.23816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/15/2022] [Accepted: 09/08/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The relationship of dietary restraint in increasing risk for binge eating among individuals with binge-spectrum eating disorders (B-EDs) is well established. However, previous research has not yet identified whether these individuals exhibit heterogeneous profiles of dietary restraint and whether these profiles are associated with differences in eating pathology. METHODS Individuals with B-EDs (N = 290) completed the Eating Disorder Examination. Latent profile analysis was conducted on dietary restraint frequency data, including restriction of overall amount of food consumed, avoidance of eating, desire for an empty stomach, food avoidance, and dietary rules. Identified latent profiles were compared on binge eating frequency, compensatory behaviors frequency, and ED pathology using the three-step procedure. RESULTS A four-class model of dietary restraint best fit the data. Classes significantly differed in frequency of compensatory behaviors (F[3, 286] = 31.01, p < .001), EDE Eating Concern (F[3, 286] = 14.36, p < .001), EDE Shape Concern (F[3, 286] = 7.06, p < .001), EDE Weight Concern (F[3, 286] = 6.83, p < .001), and ED Pathology (F[3, 286] = 12.86, p < .001), but did not differ in frequency of objective (F[3, 286] = 2.45, p = .06) or subjective binge episodes (F[3, 286] = 1.87, p = .14). DISCUSSION Individuals with B-EDs exhibit distinct profiles of dietary restraint, which are associated with frequency of compensatory behaviors and severity of ED pathology. PUBLIC SIGNIFICANCE STATEMENT Individuals with binge-spectrum eating disorders have different patterns of restrictive eating symptoms. These profiles of restrictive eating behaviors are associated with differences in severity of compensatory behaviors and cognitive eating disorder symptoms, like shape and weight dissatisfaction. Understanding the relationships between profiles of restrictive eating behaviors and other eating disorder symptoms may allow for personalization of treatment and improvements in treatment efficacy.
Collapse
Affiliation(s)
- Emily K. Presseller
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, PA
| | - Elizabeth W. Lampe
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, PA
| | - Nicole Nunez
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, PA
| | - Adrienne S. Juarascio
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA
- Center for Weight, Eating, and Lifestyle Sciences, Drexel University, Philadelphia, PA
| |
Collapse
|
15
|
Leenaerts N, Jongen D, Ceccarini J, Van Oudenhove L, Vrieze E. The neurobiological reward system and binge eating: A critical systematic review of neuroimaging studies. Int J Eat Disord 2022; 55:1421-1458. [PMID: 35841198 DOI: 10.1002/eat.23776] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Changes in reward processing are hypothesized to play a role in the onset and maintenance of binge eating (BE). However, despite an increasing number of studies investigating the neurobiological reward system in individuals who binge eat, no comprehensive systematic review exists on this topic. Therefore, this review has the following objectives: (1) identify structural and functional changes in the brain reward system, either during rest or while performing a task; and (2) formulate directions for future research. METHODS A search was conducted of articles published until March 31, 2022. Neuroimaging studies were eligible if they wanted to study the reward system and included a group of individuals who binge eat together with a comparator group. Their results were summarized in a narrative synthesis. RESULTS A total of 58 articles were included. At rest, individuals who binge eat displayed a lower striatal dopamine release, a change in the volume of the striatum, frontal cortex, and insula, as well as a lower frontostriatal connectivity. While performing a task, there was a higher activity of the brain reward system when anticipating or receiving food, more model-free reinforcement learning, and more habitual behavior. Most studies only included one patient group, used general reward-related measures, and did not evaluate the impact of comorbidities, illness duration, race, or sex. DISCUSSION Confirming previous hypotheses, this review finds structural and functional changes in the neurobiological reward system in BE. Future studies should compare disorders, use measures that are specific to BE, and investigate the impact of confounding factors. PUBLIC SIGNIFICANCE STATEMENT This systematic review finds that individuals who binge eat display structural and functional changes in the brain reward system. These changes could be related to a higher sensitivity to food, relying more on previous experiences when making decisions, and more habitual behavior. Future studies should use a task that is specific to binge eating, look across different patient groups, and investigate the impact of comorbidities, illness duration, race, and sex.
Collapse
Affiliation(s)
- Nicolas Leenaerts
- Mind-body Research, Biomedical Sciences Group, KU Leuven, Leuven, Belgium
| | - Daniëlle Jongen
- Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Jenny Ceccarini
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Lukas Van Oudenhove
- Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium.,Cognitive & Affective Neuroscience Laboratory, Department of Psychological & Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Elske Vrieze
- Mind-body Research, Biomedical Sciences Group, KU Leuven, Leuven, Belgium
| |
Collapse
|
16
|
Li W, Chen X, Luo Y, Luo L, Chen H. Orbitofrontal neural dissociation of healthy and unhealthy food reward sensitivity in normal-weight binge eaters. Psychiatry Res 2022; 316:114736. [PMID: 35932570 DOI: 10.1016/j.psychres.2022.114736] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 06/24/2022] [Accepted: 07/20/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE The orbitofrontal cortex (OFC) has been repeatedly found to play an important role in food reward processing and binge eating (BE) episodes. However, most studies have focused mainly on reward-related neural alterations in clinical binge eating patients, with little consideration of preclinical individuals with BE that are more likely to develop from non-clinical individuals to clinical patients in the future. This study aimed to examine whether preclinical binge eaters exhibited OFC-related resting-state functional connectivity (rsFC) in the context of food reward. METHOD Binge eaters (BE group, n = 28) and healthy controls (HCs, n = 28) matched for age and body mass index (BMI) underwent rs-fMRI scans and completed self-reported assessment of BE symptoms. Food reward sensitivity was measured using the modified food incentive delay task. Analysis of covariance was used to assess the between-group differences in the medial and lateral OFC (a priori selected regions of interest) connectivity patterns in the context of food reward, while controlling for age, sex, and BMI. RESULTS Lower unhealthy food (UF) reward sensitivity was significantly associated with stronger inverse OFC-putamen connectivity for HCs, while the BE group showed no association between UF reward sensitivity and the OFC-putamen connectivity. Higher healthy food (HF) reward sensitivity in the BE group was significantly correlated with stronger positive OFC-middle frontal gyrus and OFC-inferior parietal gyrus connectivity, while the opposite was found for HCs. CONCLUSIONS Binge eaters showed less functional synchrony within reward regions contributing to the UF reward sensitivity, but enhanced neural interactions between reward and inhibitory control regions correlated with the HF reward sensitivity. These novel findings may demonstrate the potential orbitofrontal neural dissociation of unhealthy and healthy food reward sensitivity in normal-weight binge eaters.
Collapse
Affiliation(s)
- Wei Li
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Ximei Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yijun Luo
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Lin Luo
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China; Research Center of Psychology and Social Development, Chongqing 400715, China.
| |
Collapse
|
17
|
Kung PH, Soriano-Mas C, Steward T. The influence of the subcortex and brain stem on overeating: How advances in functional neuroimaging can be applied to expand neurobiological models to beyond the cortex. Rev Endocr Metab Disord 2022; 23:719-731. [PMID: 35380355 PMCID: PMC9307542 DOI: 10.1007/s11154-022-09720-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 12/13/2022]
Abstract
Functional neuroimaging has become a widely used tool in obesity and eating disorder research to explore the alterations in neurobiology that underlie overeating and binge eating behaviors. Current and traditional neurobiological models underscore the importance of impairments in brain systems supporting reward, cognitive control, attention, and emotion regulation as primary drivers for overeating. Due to the technical limitations of standard field strength functional magnetic resonance imaging (fMRI) scanners, human neuroimaging research to date has focused largely on cortical and basal ganglia effects on appetitive behaviors. The present review draws on animal and human research to highlight how neural signaling encoding energy regulation, reward-learning, and habit formation converge on hypothalamic, brainstem, thalamic, and striatal regions to contribute to overeating in humans. We also consider the role of regions such as the mediodorsal thalamus, ventral striatum, lateral hypothalamus and locus coeruleus in supporting habit formation, inhibitory control of food craving, and attentional biases. Through these discussions, we present proposals on how the neurobiology underlying these processes could be examined using functional neuroimaging and highlight how ultra-high field 7-Tesla (7 T) fMRI may be leveraged to elucidate the potential functional alterations in subcortical networks. Focus is given to how interactions of these regions with peripheral endocannabinoids and neuropeptides, such as orexin, could be explored. Technical and methodological aspects regarding the use of ultra-high field 7 T fMRI to study eating behaviors are also reviewed.
Collapse
Affiliation(s)
- Po-Han Kung
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia
| | - Carles Soriano-Mas
- Psychiatry and Mental Health Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Neuroscience Program, L'Hospitalet de Llobregat, Spain
- CIBERSAM, Carlos III Health Institute, Madrid, Spain
- Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain
| | - Trevor Steward
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia.
| |
Collapse
|
18
|
Murray SB, Duval CJ, Balkchyan AA, Cabeen RP, Nagata JM, Toga AW, Siegel SJ, Jann K. Regional gray matter abnormalities in pre-adolescent binge eating disorder: A voxel-based morphometry study. Psychiatry Res 2022; 310:114473. [PMID: 35220054 DOI: 10.1016/j.psychres.2022.114473] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/02/2022] [Accepted: 02/19/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND Binge eating disorder (BED) is a pernicious psychiatric disorder which is linked with an array of multisystemic organ morbidity, broad psychiatric morbidity, and obesity. Despite behavioral markers often developing in early childhood, the neurobiological markers of early-onset BED remain understudied, and developmental pathophysiology remains poorly understood. METHODS 71 preadolescent children (aged 9-10-years) with BED and 74 age, BMI and developmentally matched control children were extracted from the 3.0 baseline (Year 0) release of the Adolescent Brain Cognitive Development (ABCD) Study. We investigated group differences in gray matter density (GMD) via voxel-based morphometry (VBM). We additionally performed region of interest analyses, assessing the association between GMD in nodes of the reward (orbitofrontal cortex; OFC) and inhibitory control (dorsolateral prefrontal cortex; dlPFC) networks, and parent-reported behavioral inhibition and approach tendencies. RESULTS Diffuse elevations in cortical GMD were noted in those with BED, which spanned prefrontal, parietal, and temporal regions. No areas of reduced GMD were noted in those with BED. No alterations in subcortical GMD were noted. Brain-behavioral associations suggest a distinct and negative relationship between GMD in the OFC and dlPFC, respectively, and self-reported markers of hedonic behavioral approach tendencies. CONCLUSIONS Early-onset BED may be characterized by diffuse morphological abnormalities in gray matter density, suggesting alterations in cortical architecture which may reflect decreased synaptic pruning and arborization, or decreased myelinated fibers and therefore inter-regional afferents.
Collapse
Affiliation(s)
- Stuart B Murray
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States.
| | - Christina J Duval
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Ane A Balkchyan
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States; Translational Research in Eating Disorders Program, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Ryan P Cabeen
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Arthur W Toga
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Steven J Siegel
- Department of Psychiatry & Behavioral Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Kay Jann
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
19
|
Neurobiological and Psychological Maintenance Mechanisms Associated with Anticipatory Reward in Bulimia Nervosa. ACTA ACUST UNITED AC 2021; 6. [PMID: 34056136 PMCID: PMC8159178 DOI: 10.20900/jpbs.20210005] [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] [Indexed: 11/20/2022]
Abstract
The purpose of this investigation is to identify the anticipatory reward mechanisms that maintain binge eating and purging in bulimia nervosa. Emerging data indicate the importance of reward and anticipatory processes as maintenance mechanisms of bulimia nervosa that can be targeted in treatment. The proposed research will identify neurobiological and psychological anticipatory mechanisms of binge eating and purging using functional magnetic resonance imaging (fMRI), and ecological momentary assessment (EMA) in the natural environment. In this investigation, 60 adults (30 with bulimia nervosa and 30 matched comparison participants) will undergo negative and positive mood inductions followed by an fMRI food selection task (and a comparison shopping task) to examine neurobiological and affective responses to food and non-food reward anticipation. Participants with bulimia nervosa will complete two weeks of EMA examining real-time affect changes in relation to the anticipation of binge eating and purging. These methods will facilitate rigorous assessment of the links between neurobiological (fMRI) and naturalistic (EMA) data in anticipatory reward processes. Findings from this investigation will inform the conceptualization and treatment of bulimia nervosa by identifying the role of reward anticipation in symptom maintenance, providing a crucial framework for targeting these anticipatory processes in existing and novel interventions.
Collapse
|
20
|
Hildebrandt BA, Ahmari SE. Breaking It Down: Investigation of Binge Eating Components in Animal Models to Enhance Translation. Front Psychiatry 2021; 12:728535. [PMID: 34484010 PMCID: PMC8414642 DOI: 10.3389/fpsyt.2021.728535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 07/19/2021] [Indexed: 12/28/2022] Open
Abstract
Binge eating (BE) is a core eating disorder behavior that is present across nearly all eating disorder diagnoses (e. g., bulimia nervosa, binge eating disorder, anorexia nervosa binge/purge subtype), and is also widely present in the general population. Despite the prevalence of BE, limited treatment options exist and there are often high rates of relapse after treatment. There is evidence showing that genetic factors contribute to the heritability of BE and support for biological contributions to BE. However, more work is needed to fully understand neurobiological mechanisms underlying BE. One approach to target this problem is to separate BE into its distinct clinical components that can be more easily modeled using pre-clinical approaches. To date, a variety of animal models for BE have been used in pre-clinical studies; but there have been challenges translating this work to human BE. Here, we review these pre-clinical approaches by breaking them down into three clinically-significant component parts (1) consumption of a large amount of food; (2) food consumption within a short period of time; and (3) loss of control over eating. We propose that this rubric identifies the most frequently used and effective ways to model components of BE behavior using pre-clinical approaches with the strongest clinical relevance. Finally, we discuss how current pre-clinical models have been integrated with techniques using targeted neurobiological approaches and propose ways to improve translation of pre-clinical work to human investigations of BE that could enhance our understanding of BE behavior.
Collapse
Affiliation(s)
- Britny A Hildebrandt
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Susanne E Ahmari
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.,Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, United States.,Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, United States
| |
Collapse
|