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Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction

The brain continuously receives input from the internal and external environment. Using this information, the brain exerts its influence on both itself and the body to facilitate an appropriate response. The dynamic interplay between the brain and the heart and how external conditions modulate this...

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Autores principales: Chand, Tara, Li, Meng, Jamalabadi, Hamidreza, Wagner, Gerd, Lord, Anton, Alizadeh, Sarah, Danyeli, Lena V., Herrmann, Luisa, Walter, Martin, Sen, Zumrut D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344021/
https://www.ncbi.nlm.nih.gov/pubmed/32714132
http://dx.doi.org/10.3389/fnins.2020.00645
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author Chand, Tara
Li, Meng
Jamalabadi, Hamidreza
Wagner, Gerd
Lord, Anton
Alizadeh, Sarah
Danyeli, Lena V.
Herrmann, Luisa
Walter, Martin
Sen, Zumrut D.
author_facet Chand, Tara
Li, Meng
Jamalabadi, Hamidreza
Wagner, Gerd
Lord, Anton
Alizadeh, Sarah
Danyeli, Lena V.
Herrmann, Luisa
Walter, Martin
Sen, Zumrut D.
author_sort Chand, Tara
collection PubMed
description The brain continuously receives input from the internal and external environment. Using this information, the brain exerts its influence on both itself and the body to facilitate an appropriate response. The dynamic interplay between the brain and the heart and how external conditions modulate this relationship deserves attention. In high-stress situations, synchrony between various brain regions such as the prefrontal cortex and the heart may alter. This flexibility is believed to facilitate transitions between functional states related to cognitive, emotional, and especially autonomic activity. This study examined the dynamic temporal functional association of heart rate variability (HRV) with the interaction between three main canonical brain networks in 38 healthy male subjects at rest and directly after a psychosocial stress task. A sliding window approach was used to estimate the functional connectivity (FC) among the salience network (SN), central executive network (CEN), and default mode network (DMN) in 60-s windows on time series of blood-oxygen-level dependent (BOLD) signal. FC between brain networks was calculated by Pearson correlation. A multilevel linear mixed model was conducted to examine the window-by-window association between the root mean square of successive differences between normal heartbeats (RMSSD) and FC of network-pairs across sessions. Our findings showed that the minute-by-minute correlation between the FC and RMSSD was significantly stronger between DMN and CEN than for SN and CEN in the baseline session [b = 4.36, t(5025) = 3.20, p = 0.006]. Additionally, this differential relationship between network pairs and RMSSD disappeared after the stress task; FC between DMN and CEN showed a weaker correlation with RMSSD in comparison to baseline [b = −3.35, t(5025) = −3.47, p = 0.006]. These results suggest a dynamic functional interplay between HRV and the functional association between brain networks that varies depending on the needs created by changing conditions.
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spelling pubmed-73440212020-07-25 Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction Chand, Tara Li, Meng Jamalabadi, Hamidreza Wagner, Gerd Lord, Anton Alizadeh, Sarah Danyeli, Lena V. Herrmann, Luisa Walter, Martin Sen, Zumrut D. Front Neurosci Neuroscience The brain continuously receives input from the internal and external environment. Using this information, the brain exerts its influence on both itself and the body to facilitate an appropriate response. The dynamic interplay between the brain and the heart and how external conditions modulate this relationship deserves attention. In high-stress situations, synchrony between various brain regions such as the prefrontal cortex and the heart may alter. This flexibility is believed to facilitate transitions between functional states related to cognitive, emotional, and especially autonomic activity. This study examined the dynamic temporal functional association of heart rate variability (HRV) with the interaction between three main canonical brain networks in 38 healthy male subjects at rest and directly after a psychosocial stress task. A sliding window approach was used to estimate the functional connectivity (FC) among the salience network (SN), central executive network (CEN), and default mode network (DMN) in 60-s windows on time series of blood-oxygen-level dependent (BOLD) signal. FC between brain networks was calculated by Pearson correlation. A multilevel linear mixed model was conducted to examine the window-by-window association between the root mean square of successive differences between normal heartbeats (RMSSD) and FC of network-pairs across sessions. Our findings showed that the minute-by-minute correlation between the FC and RMSSD was significantly stronger between DMN and CEN than for SN and CEN in the baseline session [b = 4.36, t(5025) = 3.20, p = 0.006]. Additionally, this differential relationship between network pairs and RMSSD disappeared after the stress task; FC between DMN and CEN showed a weaker correlation with RMSSD in comparison to baseline [b = −3.35, t(5025) = −3.47, p = 0.006]. These results suggest a dynamic functional interplay between HRV and the functional association between brain networks that varies depending on the needs created by changing conditions. Frontiers Media S.A. 2020-07-02 /pmc/articles/PMC7344021/ /pubmed/32714132 http://dx.doi.org/10.3389/fnins.2020.00645 Text en Copyright © 2020 Chand, Li, Jamalabadi, Wagner, Lord, Alizadeh, Danyeli, Herrmann, Walter and Sen. http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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 Neuroscience
Chand, Tara
Li, Meng
Jamalabadi, Hamidreza
Wagner, Gerd
Lord, Anton
Alizadeh, Sarah
Danyeli, Lena V.
Herrmann, Luisa
Walter, Martin
Sen, Zumrut D.
Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title_full Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title_fullStr Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title_full_unstemmed Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title_short Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction
title_sort heart rate variability as an index of differential brain dynamics at rest and after acute stress induction
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344021/
https://www.ncbi.nlm.nih.gov/pubmed/32714132
http://dx.doi.org/10.3389/fnins.2020.00645
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