Imbalance in Resting State Functional Connectivity is Associated with Eating Behaviors and Adiposity in Children.

Heliyon

Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, USA.

Published: January 2016

AI Article Synopsis

  • Childhood obesity rates in the US have nearly doubled over the past 30 years, with associated increases in impulsivity and unhealthy eating habits linked to brain connectivity.
  • A study analyzing brain images of 38 children (ages 8-13) found that increased impulsivity-related brain connectivity corresponds with higher levels of adiposity (measured using BMI) and unhealthy eating behaviors.
  • The findings suggest that children with greater impulsivity and biased brain connectivity are more likely to engage in excessive eating behaviors, highlighting a critical period for addressing these issues early in development.

Article Abstract

Background And Hypothesis: Over the past 30 years, childhood obesity in the US has nearly doubled, while obesity has tripled among adolescents. Non-homeostatic eating, influenced by impulsivity and inhibition, may undermine successful long-term weight loss. We hypothesized that unhealthy eating habits and adiposity among children are associated with functional connectivity between brain regions associated with impulsivity, response inhibition, and reward.

Methods: We analyzed resting state functional magnetic resonance images from 38 children, ages 8–13. Using seed-based resting state functional connectivity, we quantified connectivity between brain regions associated with response inhibition (inferior parietal lobe [IPL]), impulsivity (frontal pole), and reward (nucleus accumbens [NAc]). We assessed the relationship of resting state functional connectivity with adiposity, quantified by BMI z-score, and eating behaviors, as measured by the Child Eating Behaviour Questionnaire (CEBQ). We computed an imbalance measure—the difference between [frontal pole:NAC] and [ipl:nac] functional connectivity—and investigated the relationship of this imbalance with eating behaviors and adiposity.

Results: As functional connectivity imbalance is increasingly biased toward impulsivity, adiposity increases. Similarly, as impulsivity-biased imbalance increases, food approach behaviors increase and food avoidance behaviors decrease. Increased adiposity is associated with increased food approach behaviors and decreased food avoidance behaviors.

Conclusions: In the absence of any explicit eating-related stimuli, the developing brain is primed toward food approach and away from food avoidance behavior with increasing adiposity. Imbalance in resting state functional connectivity that is associated with non-homeostatic eating develops during childhood, as early as 8–13 years of age. Our results indicate the importance of identifying children at risk for obesity for earlier intervention. In addition to changing eating habits and physical activity, strategies that normalize neural functional connectivity imbalance are needed to maintain healthy weight. Mindfulness may be one such approach as it is associated with increased response inhibition and decreased impulsivity.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750053PMC
http://dx.doi.org/10.1016/j.heliyon.2015.e00058DOI Listing

Publication Analysis

Top Keywords

functional connectivity
28
resting state
20
state functional
20
eating behaviors
12
response inhibition
12
food approach
12
food avoidance
12
functional
9
imbalance resting
8
connectivity
8

Similar Publications

Systemic lupus erythematosus (SLE) is an autoimmune disease whose pathogenesis is not fully understood to date. One of the suggested mechanisms for its development is NETosis, which involves the release of a specific network consisting of chromatin, proteins, and enzymes from neutrophils, stimulating the immune system. One of its markers is citrullinated histone H3 (H3Cit).

View Article and Find Full Text PDF

Objective: The effectiveness and optimal stimulation site of deep brain stimulation (DBS) for central poststroke pain (CPSP) remain elusive. The objective of this retrospective international multicenter study was to assess clinical as well as neuroimaging-based predictors of long-term outcomes after DBS for CPSP.

Methods: The authors analyzed patient-based clinical and neuroimaging data of previously published and unpublished cohorts from 6 international DBS centers.

View Article and Find Full Text PDF

Extreme Synergy in the Random-Energy Model.

Phys Rev Lett

December 2024

Initiative for the Theoretical Sciences and CUNY-Princeton Center for the Physics of Biological Function, The Graduate Center, CUNY, New York, New York 10016, USA.

The random-energy model (REM), a solvable spin-glass model, has impacted an incredibly diverse set of problems, from protein folding to combinatorial optimization, to many-body localization. Here, we explore a new connection to secret sharing. We derive an analytic expression for the mutual information between any two disjoint thermodynamic subsystems of the REM.

View Article and Find Full Text PDF

Objective: Patients with drug-resistant epilepsy (DRE) are often referred for phase II evaluation with stereo-electroencephalography (SEEG) to identify a seizure onset zone for guiding definitive treatment. For patients without a focal seizure onset zone, neuromodulation targeting the thalamic nuclei-specifically the centromedian nucleus, anterior nucleus of the thalamus, and pulvinar nucleus-may be considered. Currently, thalamic nuclei selection is based mainly on the location of seizure onset, without a detailed evaluation of their network involvement.

View Article and Find Full Text PDF

Human brain dynamics are shaped by rare long-range connections over and above cortical geometry.

Proc Natl Acad Sci U S A

January 2025

Centre for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain.

A fundamental topological principle is that the container always shapes the content. In neuroscience, this translates into how the brain anatomy shapes brain dynamics. From neuroanatomy, the topology of the mammalian brain can be approximated by local connectivity, accurately described by an exponential distance rule (EDR).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!