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Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults
OBJECTIVE: The goal of this study was to determine whether the degree of weight loss after 6 months of a behavior‐based intervention is related to baseline connectivity within two functional networks (FNs) of interest, FN1 and FN2, in a group of older adults with obesity. METHODS: Baseline functiona...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969753/ https://www.ncbi.nlm.nih.gov/pubmed/35333443 http://dx.doi.org/10.1002/oby.23396 |
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author | Burdette, Jonathan H. Bahrami, Mohsen Laurienti, Paul J. Simpson, Sean L. Nicklas, Barbara J. Fanning, Jason Rejeski, W. Jack |
author_facet | Burdette, Jonathan H. Bahrami, Mohsen Laurienti, Paul J. Simpson, Sean L. Nicklas, Barbara J. Fanning, Jason Rejeski, W. Jack |
author_sort | Burdette, Jonathan H. |
collection | PubMed |
description | OBJECTIVE: The goal of this study was to determine whether the degree of weight loss after 6 months of a behavior‐based intervention is related to baseline connectivity within two functional networks (FNs) of interest, FN1 and FN2, in a group of older adults with obesity. METHODS: Baseline functional magnetic resonance imaging data were collected following an overnight fast in 71 older adults with obesity involved in a weight‐loss intervention. Functional brain networks in a resting state and during a food‐cue task were analyzed using a mixed‐regression framework to examine the relationships between baseline networks and 6‐month change in weight. RESULTS: During the resting condition, the relationship of baseline brain functional connectivity and network clustering in FN1, which includes the visual cortex and sensorimotor areas, was significantly associated with 6‐month weight loss. During the food‐cue condition, 6‐month weight loss was significantly associated with the relationship between baseline brain connectivity and network global efficiency in FN2, which includes executive control, attention, and limbic regions. CONCLUSION: These findings provide further insight into complex functional circuits in the brain related to successful weight loss and may ultimately aid in developing tailored behavior‐based treatment regimens that target specific brain circuitry. |
format | Online Article Text |
id | pubmed-8969753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89697532022-10-14 Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults Burdette, Jonathan H. Bahrami, Mohsen Laurienti, Paul J. Simpson, Sean L. Nicklas, Barbara J. Fanning, Jason Rejeski, W. Jack Obesity (Silver Spring) ORIGINAL ARTICLES OBJECTIVE: The goal of this study was to determine whether the degree of weight loss after 6 months of a behavior‐based intervention is related to baseline connectivity within two functional networks (FNs) of interest, FN1 and FN2, in a group of older adults with obesity. METHODS: Baseline functional magnetic resonance imaging data were collected following an overnight fast in 71 older adults with obesity involved in a weight‐loss intervention. Functional brain networks in a resting state and during a food‐cue task were analyzed using a mixed‐regression framework to examine the relationships between baseline networks and 6‐month change in weight. RESULTS: During the resting condition, the relationship of baseline brain functional connectivity and network clustering in FN1, which includes the visual cortex and sensorimotor areas, was significantly associated with 6‐month weight loss. During the food‐cue condition, 6‐month weight loss was significantly associated with the relationship between baseline brain connectivity and network global efficiency in FN2, which includes executive control, attention, and limbic regions. CONCLUSION: These findings provide further insight into complex functional circuits in the brain related to successful weight loss and may ultimately aid in developing tailored behavior‐based treatment regimens that target specific brain circuitry. John Wiley and Sons Inc. 2022-03-25 2022-04 /pmc/articles/PMC8969753/ /pubmed/35333443 http://dx.doi.org/10.1002/oby.23396 Text en © 2022 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society (TOS). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | ORIGINAL ARTICLES Burdette, Jonathan H. Bahrami, Mohsen Laurienti, Paul J. Simpson, Sean L. Nicklas, Barbara J. Fanning, Jason Rejeski, W. Jack Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title | Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title_full | Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title_fullStr | Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title_full_unstemmed | Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title_short | Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
title_sort | longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults |
topic | ORIGINAL ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969753/ https://www.ncbi.nlm.nih.gov/pubmed/35333443 http://dx.doi.org/10.1002/oby.23396 |
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