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Meal replacement: calming the hot-state brain network of appetite

There is a growing awareness in the field of neuroscience that the self-regulation of eating behavior is driven by complex networks within the brain. These networks may be vulnerable to “hot states” which people can move into and out of dynamically throughout the course of a day as a function of cha...

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Autores principales: Paolini, Brielle M., Laurienti, Paul J., Norris, James, Rejeski, W. Jack
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971177/
https://www.ncbi.nlm.nih.gov/pubmed/24723901
http://dx.doi.org/10.3389/fpsyg.2014.00249
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author Paolini, Brielle M.
Laurienti, Paul J.
Norris, James
Rejeski, W. Jack
author_facet Paolini, Brielle M.
Laurienti, Paul J.
Norris, James
Rejeski, W. Jack
author_sort Paolini, Brielle M.
collection PubMed
description There is a growing awareness in the field of neuroscience that the self-regulation of eating behavior is driven by complex networks within the brain. These networks may be vulnerable to “hot states” which people can move into and out of dynamically throughout the course of a day as a function of changes in affect or visceral cues. The goal of the current study was to identify and determine differences in the Hot-state Brain Network of Appetite (HBN-A) that exists after a brief period of food restraint followed either by the consumption of a meal replacement (MR) or water. Fourteen overweight/obese adults came to our laboratory on two different occasions. Both times they consumed a controlled breakfast meal and then were restricted from eating for 2.5 h prior to an MRI scan. On one visit, they consumed a meal replacement (MR) liquid meal after this period of food restriction; on the other visit they consumed an equal amount of water. After these manipulations, the participants underwent a resting fMRI scan. Our first study aim employed an exploratory, data-driven approach to identify hubs relevant to the HBN-A. Using data from the water condition, five regions were found to be the hubs or nodes of the HBN-A: insula, anterior cingulated cortex, the superior temporal pole, the amygdala, and the hippocampus. We then demonstrated that the consumption of a liquid MR dampened interconnectivity between the nodes of the HBN-A as compared to water. Importantly and consistent with these network data, the consumption of a MR beverage also lowered state cravings and hunger.
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spelling pubmed-39711772014-04-10 Meal replacement: calming the hot-state brain network of appetite Paolini, Brielle M. Laurienti, Paul J. Norris, James Rejeski, W. Jack Front Psychol Psychology There is a growing awareness in the field of neuroscience that the self-regulation of eating behavior is driven by complex networks within the brain. These networks may be vulnerable to “hot states” which people can move into and out of dynamically throughout the course of a day as a function of changes in affect or visceral cues. The goal of the current study was to identify and determine differences in the Hot-state Brain Network of Appetite (HBN-A) that exists after a brief period of food restraint followed either by the consumption of a meal replacement (MR) or water. Fourteen overweight/obese adults came to our laboratory on two different occasions. Both times they consumed a controlled breakfast meal and then were restricted from eating for 2.5 h prior to an MRI scan. On one visit, they consumed a meal replacement (MR) liquid meal after this period of food restriction; on the other visit they consumed an equal amount of water. After these manipulations, the participants underwent a resting fMRI scan. Our first study aim employed an exploratory, data-driven approach to identify hubs relevant to the HBN-A. Using data from the water condition, five regions were found to be the hubs or nodes of the HBN-A: insula, anterior cingulated cortex, the superior temporal pole, the amygdala, and the hippocampus. We then demonstrated that the consumption of a liquid MR dampened interconnectivity between the nodes of the HBN-A as compared to water. Importantly and consistent with these network data, the consumption of a MR beverage also lowered state cravings and hunger. Frontiers Media S.A. 2014-03-25 /pmc/articles/PMC3971177/ /pubmed/24723901 http://dx.doi.org/10.3389/fpsyg.2014.00249 Text en Copyright © 2014 Paolini, Laurienti, Norris and Rejeski. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Paolini, Brielle M.
Laurienti, Paul J.
Norris, James
Rejeski, W. Jack
Meal replacement: calming the hot-state brain network of appetite
title Meal replacement: calming the hot-state brain network of appetite
title_full Meal replacement: calming the hot-state brain network of appetite
title_fullStr Meal replacement: calming the hot-state brain network of appetite
title_full_unstemmed Meal replacement: calming the hot-state brain network of appetite
title_short Meal replacement: calming the hot-state brain network of appetite
title_sort meal replacement: calming the hot-state brain network of appetite
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971177/
https://www.ncbi.nlm.nih.gov/pubmed/24723901
http://dx.doi.org/10.3389/fpsyg.2014.00249
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