Literature DB >> 26724781

Weighing the evidence: Variance in brain responses to milkshake receipt is predictive of eating behavior.

Nils B Kroemer1, Xue Sun2, Maria G Veldhuizen3, Amanda E Babbs4, Ivan E de Araujo3, Dana M Small5.   

Abstract

Variations in brain responses to sensory stimuli are typically considered to lack information content and treated as "noise". Alternatively, variable response patterns may reflect the adjustment of biological parameters to external factors. We used functional magnetic resonance imaging in healthy non-dieting individuals to test whether intra-individual variation in brain response to the receipt of milkshake is associated with a range of behavioral and metabolic parameters. We found that, following a meal, high variability in nucleus accumbens (NAcc) response to milkshake is associated with higher body mass index, greater dietary disinhibition, more variable ad libitum food consumption, faster increases in plasma insulin, faster decreases in plasma glucose, and greater weight loss over 1year. Our results thus uncover a series of physiological parameters encrypted as variable responses in NAcc to food stimuli. They also suggest that variations in striatal activity regulate the activation of behavioral and metabolic responses to food availability.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BMI; Food reward; Glucose metabolism; Insulin sensitivity; Neural variability; fMRI

Mesh:

Year:  2015        PMID: 26724781     DOI: 10.1016/j.neuroimage.2015.12.031

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward.

Authors:  Maria Geraldine Veldhuizen; Richard Keith Babbs; Barkha Patel; Wambura Fobbs; Nils B Kroemer; Elizabeth Garcia; Martin R Yeomans; Dana M Small
Journal:  Curr Biol       Date:  2017-08-10       Impact factor: 10.834

Review 2.  Fuel not fun: Reinterpreting attenuated brain responses to reward in obesity.

Authors:  Nils B Kroemer; Dana M Small
Journal:  Physiol Behav       Date:  2016-04-13

3.  Longitudinal Evidence of a Vicious Cycle Between Nucleus Accumbens Microstructure and Childhood Weight Gain.

Authors:  Kristina M Rapuano; Nia Berrian; Arielle Baskin-Sommers; Léa Décarie-Spain; Sandeep Sharma; Stephanie Fulton; B J Casey; Richard Watts
Journal:  J Adolesc Health       Date:  2022-03-02       Impact factor: 7.830

Review 4.  Neural predictors of eating behavior and dietary change.

Authors:  Nicole R Giuliani; Junaid S Merchant; Danielle Cosme; Elliot T Berkman
Journal:  Ann N Y Acad Sci       Date:  2018-03-15       Impact factor: 5.691

5.  Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals.

Authors:  Junaid S Merchant; Danielle Cosme; Nicole R Giuliani; Bryce Dirks; Elliot T Berkman
Journal:  Front Behav Neurosci       Date:  2020-12-04       Impact factor: 3.558

Review 6.  Food cue reactivity: Neurobiological and behavioral underpinnings.

Authors:  Scott E Kanoski; Kerri N Boutelle
Journal:  Rev Endocr Metab Disord       Date:  2022-04-28       Impact factor: 9.306

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.