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Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers

Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence. The autonomic nervous system (ANS) has a well-documented relationship with alcohol use, and a growing body of researc...

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Autores principales: Peterson, Hope, Mayhugh, Rhiannon E., Bahrami, Mohsen, Rejeski, Walter Jack, Simpson, Sean L., Heilman, Keri, Porges, Stephen W., Laurienti, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235786/
https://www.ncbi.nlm.nih.gov/pubmed/34203005
http://dx.doi.org/10.3390/brainsci11060817
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author Peterson, Hope
Mayhugh, Rhiannon E.
Bahrami, Mohsen
Rejeski, Walter Jack
Simpson, Sean L.
Heilman, Keri
Porges, Stephen W.
Laurienti, Paul J.
author_facet Peterson, Hope
Mayhugh, Rhiannon E.
Bahrami, Mohsen
Rejeski, Walter Jack
Simpson, Sean L.
Heilman, Keri
Porges, Stephen W.
Laurienti, Paul J.
author_sort Peterson, Hope
collection PubMed
description Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence. The autonomic nervous system (ANS) has a well-documented relationship with alcohol use, and a growing body of research is finding links between the ANS and functional brain networks. This study recruited everyday drinkers in an effort to uncover the relationship between alcohol abstinence, ANS function, and whole brain functional brain networks. Participants (n = 29), 24–60 years-of-age, consumed moderate levels of alcohol regularly (males 2.4 (±0.26) drinks/day, females 2.3 (±0.96) drinks/day). ANS function, specifically cardiac vagal tone, was assessed using the Porges-Bohrer method for calculating respiratory sinus arrhythmia (PB(RSA)). Functional brain networks were generated from resting-state MRI scans obtained following 3-day periods of typical consumption and abstinence. A multi-task mixed-effects regression model determined the influences of HRV and drinking state on functional network connectivity. Results showed differences in the relationship between the strength of network connections and clustering coefficients across drinking states, moderated by PB(RSA). Increases in connection strength between highly clustered nodes during abstinence as PB(RSA) increases demonstrates a greater possible range of topological configurations at high PB(RSA) values. This novel finding begins to shed light on the complex interactions between typical alcohol abstinence and physiological responses of the central and autonomic nervous system.
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spelling pubmed-82357862021-06-27 Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers Peterson, Hope Mayhugh, Rhiannon E. Bahrami, Mohsen Rejeski, Walter Jack Simpson, Sean L. Heilman, Keri Porges, Stephen W. Laurienti, Paul J. Brain Sci Article Alcohol consumption is now common practice worldwide, and functional brain networks are beginning to reveal the complex interactions observed with alcohol consumption and abstinence. The autonomic nervous system (ANS) has a well-documented relationship with alcohol use, and a growing body of research is finding links between the ANS and functional brain networks. This study recruited everyday drinkers in an effort to uncover the relationship between alcohol abstinence, ANS function, and whole brain functional brain networks. Participants (n = 29), 24–60 years-of-age, consumed moderate levels of alcohol regularly (males 2.4 (±0.26) drinks/day, females 2.3 (±0.96) drinks/day). ANS function, specifically cardiac vagal tone, was assessed using the Porges-Bohrer method for calculating respiratory sinus arrhythmia (PB(RSA)). Functional brain networks were generated from resting-state MRI scans obtained following 3-day periods of typical consumption and abstinence. A multi-task mixed-effects regression model determined the influences of HRV and drinking state on functional network connectivity. Results showed differences in the relationship between the strength of network connections and clustering coefficients across drinking states, moderated by PB(RSA). Increases in connection strength between highly clustered nodes during abstinence as PB(RSA) increases demonstrates a greater possible range of topological configurations at high PB(RSA) values. This novel finding begins to shed light on the complex interactions between typical alcohol abstinence and physiological responses of the central and autonomic nervous system. MDPI 2021-06-20 /pmc/articles/PMC8235786/ /pubmed/34203005 http://dx.doi.org/10.3390/brainsci11060817 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peterson, Hope
Mayhugh, Rhiannon E.
Bahrami, Mohsen
Rejeski, Walter Jack
Simpson, Sean L.
Heilman, Keri
Porges, Stephen W.
Laurienti, Paul J.
Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title_full Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title_fullStr Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title_full_unstemmed Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title_short Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers
title_sort influence of heart rate variability on abstinence-related changes in brain state in everyday drinkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235786/
https://www.ncbi.nlm.nih.gov/pubmed/34203005
http://dx.doi.org/10.3390/brainsci11060817
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