Alterations in Neurobehavioral Networks across Clinical and Subclinical Eating Disorders

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Systems Neuroscience".

Deadline for manuscript submissions: closed (1 July 2021) | Viewed by 14735

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
University of Barcelona, Barcelona, Spain
Interests: obesity; impulsivity; executive functions; inflammation

E-Mail Website
Guest Editor
University of Barcelona, Barcelona, Spain
Interests: obesity; food addiction; binge eating; reward processing

Special Issue Information

Dear Colleagues,

In modern societies, our relationship with food remains problematic. It has been estimated that around 2% of the global population experiences some form of eating disorder during their lifetimes, such as anorexia nervosa, bulimia nervosa, or binge-eating disorder. Eating disorders represent major burdens on an individual’s mental and physical health. For instance, anorexia nervosa has the highest mortality rate among psychiatric disorders. Binge-eating symptoms, present in binge-eating disorder and bulimia nervosa, are associated with metabolic conditions, such as diabetes, obesity, or hypertension. Finally, mood disorders, such as major depressive disorder, are also common across eating disorders. Despite the enormous suffering that they can cause to the patients and their families, the pathophysiological mechanisms underlying these conditions remain elusive to date.

In the general population, eating behaviors that are potentially problematic, such as uncontrolled eating, restrictive eating, or emotional eating, might be present along continua. As such, individuals might show stark variations regarding the presence and frequency of these eating behaviors. A focus on these subclinical eating patterns might represent an opportunity in the study of eating disorders, since they might offer valuable information about sources and risk factors associated with these conditions.

We hope that a better understanding of the neurocognitive factors underlying eating-disorder symptoms will help to direct clinical interventions and prevention strategies. In the field of cognitive neuroscience, theoretical and experimental studies have suggested the implication of at least three main brain circuits that could subserve pathological eating behaviors, such as binge eating or restrictive eating. These circuits are  the mesolimbic circuit, associated with the processing of rewards;  fronto-parietal networks, linked to cognitive control and self-regulation; and  the hypothalamus–pituitary–adrenal axis, involved in stress responses. The exact role of these neurocognitive factors in the pathophysiology of eating disorders, however, is often complex, and it might be counterintuitive. The clearest example is with regard to cognitive control. Clinical studies have shown that high scores for restrictive eating patterns predict success in weight-loss interventions. However, classic studies by Polivy and Herman have also indicated that restrictive-eating behaviors constitute a risk factor for binge eating.

The proposed Special Issue has two main objectives: (i) to identify which neurobehavioral factors are associated with clinical and non-clinical eating disorders; (ii) to facilitate transdiagnostic cross-talk among researchers working on disordered eating patterns.

We welcome articles presenting original empirical data as well as theoretical work (systematic or narrative reviews) examining the neurocognitive profiles of clinical and non-clinical eating disorders as well as the neurocognitive changes associated with therapeutic approaches. The articles might focus on (a) eating disorders  (i.e., anorexia nervosa, bulimia nervosa, or binge-eating disorder) or (b) eating patterns that can be potentially problematic (e.g., uncontrolled eating, restrictive eating, emotional eating, etc.).

Dr. Maria Angeles Jurado
Dr. Isabel Garcia-Garcia
Guest Editors

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Keywords

  • Binge-eating disorder
  • Anorexia nervosa
  • Bulimia nervosa
  • Uncontrolled eating
  • Restrictive eating

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Published Papers (4 papers)

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Research

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11 pages, 1170 KiB  
Article
Neuroanatomical Correlates of Binge-Eating Behavior: At the Roots of Unstoppable Eating
by Rossella Oliva, Sanja Budisavljević, Umberto Castiello and Chiara Begliomini
Brain Sci. 2021, 11(9), 1162; https://doi.org/10.3390/brainsci11091162 - 31 Aug 2021
Cited by 5 | Viewed by 3621
Abstract
Binge-eating refers to episodes of uncontrolled eating accompanied by a perceived loss of control, which can be common in the general population. Given the profound negative consequences of persistent binge-eating such as weight and eating disorders, it is vital to determine what makes [...] Read more.
Binge-eating refers to episodes of uncontrolled eating accompanied by a perceived loss of control, which can be common in the general population. Given the profound negative consequences of persistent binge-eating such as weight and eating disorders, it is vital to determine what makes someone more vulnerable than others to engage in such a conduct. A total of 42 normal-weight individuals (21 with binge-eating episodes and 21 without binge-eating episodes) underwent a structural magnetic resonance imaging measurement and Voxel-based morphometry (VBM) was used to assess between-group differences in terms of gray matter volume (GMV), together with self-report impulsivity and binge-eating measures. The results showed binge-eating individuals as characterized by higher trait impulsivity and greater regional GMV in the left middle frontal gyrus: however, the GMV in this region appeared to be positively correlated only with measures of binge-eating but not with trait impulsivity measures. These findings provide novel insights on the neurobiological roots of BE in normal-weight individuals and highlight how this behavior can be associated with brain morphometric changes within prefrontal regions also in a non-clinical population. Overall, this study provides a further characterization of the neural correlates of binge-eating and novel insights into the treatment of its more severe pathological forms. Full article
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17 pages, 1443 KiB  
Article
Association between Visceral Adiposity Index, Binge Eating Behavior, and Grey Matter Density in Caudal Anterior Cingulate Cortex in Severe Obesity
by Sylvain Iceta, Mahsa Dadar, Justine Daoust, Anais Scovronec, Vicky Leblanc, Melissa Pelletier, Laurent Biertho, André Tchernof, Catherine Bégin and Andreanne Michaud
Brain Sci. 2021, 11(9), 1158; https://doi.org/10.3390/brainsci11091158 - 31 Aug 2021
Cited by 9 | Viewed by 3374
Abstract
Visceral adipose tissue accumulation is an important determinant of metabolic risk and can be estimated by the visceral adiposity index (VAI). Visceral adiposity may impact brain regions involved in eating behavior. We aimed to examine the association between adiposity measurements, binge eating behavior, [...] Read more.
Visceral adipose tissue accumulation is an important determinant of metabolic risk and can be estimated by the visceral adiposity index (VAI). Visceral adiposity may impact brain regions involved in eating behavior. We aimed to examine the association between adiposity measurements, binge eating behavior, and grey matter density. In 20 men and 59 women with severe obesity, Grey matter density was measured by voxel-based morphometry for six regions of interest associated with reward, emotion, or self-regulation: insula, orbitofrontal cortex, caudal and rostral anterior cingulate cortex (ACC), ventromedial prefrontal cortex (vmPFC), and dorsolateral prefrontal cortex (DLPFC). Binge eating behavior, depression and impulsivity was assessed by the Binge Eating Scale, Beck Depression Inventory and UPPS Impulsive Behavior Scale, respectively. Men and women were distinctively divided into two subgroups (low-VAI and high-VAI) based on the mean VAI score. Women with high-VAI were characterized by metabolic alterations, higher binge eating score and lower grey matter density in the caudal ACC compared to women with low-VAI. Men with high-VAI were characterized by a higher score for the sensation-seeking subscale of the UPPS–Impulsive Behavior Scale compared to men with low-VAI. Using a moderation–mediation analysis, we found that grey matter density in the caudal ACC mediates the association between VAI and binge eating score. In conclusion, visceral adiposity is associated with higher binge eating severity in women. Decreased grey matter density in the caudal ACC, a region involved in cognition and emotion regulation, may influence this relationship. Full article
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12 pages, 1635 KiB  
Article
Restrained Eating Is Associated with Lower Cortical Thickness in the Inferior Frontal Gyrus in Adolescents
by Isabel García-García, Maite Garolera, Jonatan Ottino-González, Xavier Prats-Soteras, Anna Prunell-Castañé and María Ángeles Jurado
Brain Sci. 2021, 11(8), 978; https://doi.org/10.3390/brainsci11080978 - 23 Jul 2021
Cited by 3 | Viewed by 2672
Abstract
Some eating patterns, such as restrained eating and uncontrolled eating, are risk factors for eating disorders. However, it is not yet clear whether they are associated with neurocognitive differences. In the current study, we analyzed whether eating patterns can be used to classify [...] Read more.
Some eating patterns, such as restrained eating and uncontrolled eating, are risk factors for eating disorders. However, it is not yet clear whether they are associated with neurocognitive differences. In the current study, we analyzed whether eating patterns can be used to classify participants into meaningful clusters, and we examined whether there are neurocognitive differences between the clusters. Adolescents (n = 108; 12 to 17 years old) and adults (n = 175, 18 to 40 years old) completed the Three Factor Eating Questionnaire, which was used to classify participants according to their eating profile using k means clustering. Participants also completed personality questionnaires and a neuropsychological examination. A subsample of participants underwent a brain MRI acquisition. In both samples, we obtained a cluster characterized by high uncontrolled eating patterns, a cluster with high scores in restrictive eating, and a cluster with low scores in problematic eating behaviors. The clusters were equivalent with regards to personality and performance in executive functions. In adolescents, the cluster with high restrictive eating showed lower cortical thickness in the inferior frontal gyrus compared to the other two clusters. We hypothesize that this difference in cortical thickness represents an adaptive neural mechanism that facilitates inhibition processes. Full article
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Review

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24 pages, 515 KiB  
Review
Obesity and Gray Matter Volume Assessed by Neuroimaging: A Systematic Review
by Marina Fernández-Andújar, Ester Morales-García and Natalia García-Casares
Brain Sci. 2021, 11(8), 999; https://doi.org/10.3390/brainsci11080999 - 28 Jul 2021
Cited by 30 | Viewed by 4373
Abstract
Obesity has become a major public and individual health problem due to its high worldwide prevalence and its relation with comorbid conditions. According to previous studies, obesity is related to an increased risk of cognitive impairment and dementia. This systematic review aims to [...] Read more.
Obesity has become a major public and individual health problem due to its high worldwide prevalence and its relation with comorbid conditions. According to previous studies, obesity is related to an increased risk of cognitive impairment and dementia. This systematic review aims to further examine the present state of the art about the association between obesity and gray matter volume (GMV) as assessed by magnetic resonance imaging (MRI). A search was conducted in Pubmed, SCOPUS and Cochrane of those studies released before 1 February 2021 including MRIs to assess the GMVs in obese participants. From this search, 1420 results were obtained, and 34 publications were finally included. Obesity was mainly measured by the body mass index, although other common types of evaluations were used (e.g., waist circumference, waist-to-hip ratio and plasma leptin levels). The selected neuroimaging analysis methods were voxel-based morphometry (VBM) and cortical thickness (CT), finding 21 and 13 publications, respectively. There were 30 cross-sectional and 2 prospective longitudinal studies, and 2 articles had both cross-sectional and longitudinal designs. Most studies showed a negative association between obesity and GMV. This would have important public health implications, as obesity prevention could avoid a potential risk of GMV reductions, cognitive impairment and dementia. Full article
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