Hypothalamic Networks in Adolescents With Excess Weight: Stress-Related Connectivity and Associations With Emotional Eating

Martín-Pérez, Cristina; Contreras‐Rodríguez, Oren; Vilar-López, Raquel; Verdejo-García, Antonio

doi:10.1016/j.jaac.2018.06.039

Cited by 31 publications

(29 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The medial OFC showed lower connectivity with EFN regions (left and middle vlPFC) in adolescents with obesity compared with those with lean weight. Similar to previous research finding reduced connectivity between the SN and EFN (19), this pattern may suggest that adolescents with obesity are exerting less executive control in the context of SN engagement.…”

Section: Discussionsupporting

confidence: 87%

“…Other rsFC research in adolescents, however, has found obesity to be related to the opposite pattern. In a sample of 118 children and adolescents aged 10 to 18, excess weight (BMI ≥ 85th percentile) was associated with greater within-SN connectivity (lateral hypothalamus, OFC, striatum, and insula) and lower connectivity between the SN (medial hypothalamus) and EFN (middle frontal gyrus) and DMN (precuneus) (19). This could indicate a greater propensity to find rewarding stimuli particularly salient and a lower propensity to exert executive control in the context of rewards.…”

Section: Original Articlementioning

confidence: 99%

“…The current study aims to address this lack of clarity by conducting a study of 164 adolescents aged 13 to 16 whose weight status ranged from lean to obesity. To clarify the directionality of rsFC patterns associated with obesity, we employed seed-based analyses to test hypothesized connections between specific regions of interest (ROIs) included in the DMN, SN, and EFN, on the basis of prior findings that connectivity in these networks differs with weight status (13)(14)(17)(18)(19). We also attempted to standardize prescan hunger and controlled for remaining individual differences in hunger in all analyses.…”

Section: Original Articlementioning

confidence: 99%

“…Sample sizes have varied, with some being very small, (e.g., 18 (17)). Several studies have combined children and adolescents into the same sample (e.g., ages 10‐14 (17) and 10‐19 (19)), possibly inhibiting interpretation, given the difference in relative neural development at these stages (5). In adults, variability in hunger significantly alters the neural networks associated with obesity (15,16).…”

Section: Introductionmentioning

confidence: 99%

“…In adults, variability in hunger significantly alters the neural networks associated with obesity (15,16). However, to our knowledge, hunger has been systematically accounted for in only one rsFC study on adolescent obesity (19). Given the conflicting directionality of findings, wide variance in sample size and age range, and inconsistent control for variability in hunger, existing rsFC findings have not coalesced to provide a clear picture of how differences in functional organization relate to adolescent obesity.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents

Borowitz

Yokum

Duval

et al. 2020

Obesity

View full text Add to dashboard Cite

The current study examined whether adolescents with weight status ranging from lean to obesity showed weight-related differences in the default mode network (DMN), the executive function network (EFN), and the salience network (SN). Methods: One hundred sixty-four adolescents participated in a restingstate functional connectivity scan. A general linear model was used to examine differences in scan patterns among adolescents with lean weight, overweight, and obesity. Results: Adolescents with obesity compared with those with lean weight showed stronger within-SN connectivity among the medial orbitofrontal cortex, olfactory tubercle, and pallidum; however, they showed lower connectivity between the amygdala and SN regions (nucleus accumbens, thalamus, putamen). Those with obesity also showed lower connectivity between SN (amygdala, caudate) and DMN (parahippocampus, hippocampus, precuneus) regions. Adolescents with obesity compared with those with lean weight showed lower connectivity between SN (medial orbitofrontal cortex) and EFN (ventrolateral prefrontal cortex) regions. Conclusions: Obesity appears to be related to stronger connectivity within and between regions implicated in determining the salience of stimuli, which may have implications for reward processing. Lower connectivity between SN and EFN regions may suggest that executivecontrol efforts are going "off-line" when salience and reward-processing regions are engaged in adolescents who have obesity.

show abstract

Section: Discussionsupporting

confidence: 87%

Section: Original Articlementioning

confidence: 99%

Section: Original Articlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents

Borowitz

Yokum

Duval

et al. 2020

Obesity

View full text Add to dashboard Cite

show abstract

The cerebellum plays more than one role in the dysregulation of appetite: Review of structural evidence from typical and eating disorder populations

Sader,

Waiter,

Williams

2023

Brain and Behavior

View full text Add to dashboard Cite

ObjectiveDysregulated appetite control is characteristic of anorexia nervosa (AN), bulimia nervosa (BN), and obesity (OB). Studies using a broad range of methods suggest the cerebellum plays an important role in aspects of weight and appetite control, and is implicated in both AN and OB by reports of aberrant gray matter volume (GMV) compared to nonclinical populations. As functions of the cerebellum are anatomically segregated, specific localization of aberrant anatomy may indicate the mechanisms of its relationship with weight and appetite in different states. We sought to determine if there were consistencies in regions of cerebellar GMV changes in AN/BN and OB, as well as across normative (NOR) variation.MethodSystematic review and meta‐analysis using GingerALE.ResultsTwenty‐six publications were identified as either case–control studies (nOB = 277; nAN/BN = 510) or regressed weight from NOR data against brain volume (total n = 3830). AN/BN and OB analyses both showed consistently decreased GMV within Crus I and Lobule VI, but volume reduction was bilateral for AN/BN and unilateral for OB. Analysis of the NOR data set identified a cluster in right posterior lobe that overlapped with AN/BN cerebellar reduction. Sensitivity analyses indicated robust repeatability for NOR and AN/BN cohorts, but found OB‐specific heterogeneity.DiscussionFindings suggest that more than one area of the cerebellum is involved in control of eating behavior and may be differentially affected in normal variation and pathological conditions. Specifically, we hypothesize an association with sensorimotor and emotional learning via Lobule VI in AN/BN, and executive function via Crus I in OB.

show abstract

Cardiac Vagal Imbalance and Emotional Eating

Fuentes

Nazar²,

Sánchez-Hechavarría³

2022

Eating Disorders

View full text Add to dashboard Cite

Hypothalamic Networks in Adolescents With Excess Weight: Stress-Related Connectivity and Associations With Emotional Eating

Cited by 31 publications

References 56 publications

Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents

Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents

The cerebellum plays more than one role in the dysregulation of appetite: Review of structural evidence from typical and eating disorder populations

Cardiac Vagal Imbalance and Emotional Eating

Contact Info

Product

Resources

About