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Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches

The proposed approach evaluates complexity of the cardiovascular control and causality among cardiovascular regulatory mechanisms from spontaneous variability of heart period (HP), systolic arterial pressure (SAP) and respiration (RESP). It relies on construction of a multivariate embedding space, o...

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Autores principales: Porta, Alberto, Faes, Luca, Bari, Vlasta, Marchi, Andrea, Bassani, Tito, Nollo, Giandomenico, Perseguini, Natália Maria, Milan, Juliana, Minatel, Vinícius, Borghi-Silva, Audrey, Takahashi, Anielle C. M., Catai, Aparecida M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933610/
https://www.ncbi.nlm.nih.gov/pubmed/24586796
http://dx.doi.org/10.1371/journal.pone.0089463
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author Porta, Alberto
Faes, Luca
Bari, Vlasta
Marchi, Andrea
Bassani, Tito
Nollo, Giandomenico
Perseguini, Natália Maria
Milan, Juliana
Minatel, Vinícius
Borghi-Silva, Audrey
Takahashi, Anielle C. M.
Catai, Aparecida M.
author_facet Porta, Alberto
Faes, Luca
Bari, Vlasta
Marchi, Andrea
Bassani, Tito
Nollo, Giandomenico
Perseguini, Natália Maria
Milan, Juliana
Minatel, Vinícius
Borghi-Silva, Audrey
Takahashi, Anielle C. M.
Catai, Aparecida M.
author_sort Porta, Alberto
collection PubMed
description The proposed approach evaluates complexity of the cardiovascular control and causality among cardiovascular regulatory mechanisms from spontaneous variability of heart period (HP), systolic arterial pressure (SAP) and respiration (RESP). It relies on construction of a multivariate embedding space, optimization of the embedding dimension and a procedure allowing the selection of the components most suitable to form the multivariate embedding space. Moreover, it allows the comparison between linear model-based (MB) and nonlinear model-free (MF) techniques and between MF approaches exploiting local predictability (LP) and conditional entropy (CE). The framework was applied to study age-related modifications of complexity and causality in healthy humans in supine resting (REST) and during standing (STAND). We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia.
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spelling pubmed-39336102014-02-25 Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches Porta, Alberto Faes, Luca Bari, Vlasta Marchi, Andrea Bassani, Tito Nollo, Giandomenico Perseguini, Natália Maria Milan, Juliana Minatel, Vinícius Borghi-Silva, Audrey Takahashi, Anielle C. M. Catai, Aparecida M. PLoS One Research Article The proposed approach evaluates complexity of the cardiovascular control and causality among cardiovascular regulatory mechanisms from spontaneous variability of heart period (HP), systolic arterial pressure (SAP) and respiration (RESP). It relies on construction of a multivariate embedding space, optimization of the embedding dimension and a procedure allowing the selection of the components most suitable to form the multivariate embedding space. Moreover, it allows the comparison between linear model-based (MB) and nonlinear model-free (MF) techniques and between MF approaches exploiting local predictability (LP) and conditional entropy (CE). The framework was applied to study age-related modifications of complexity and causality in healthy humans in supine resting (REST) and during standing (STAND). We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia. Public Library of Science 2014-02-24 /pmc/articles/PMC3933610/ /pubmed/24586796 http://dx.doi.org/10.1371/journal.pone.0089463 Text en © 2014 Porta et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Porta, Alberto
Faes, Luca
Bari, Vlasta
Marchi, Andrea
Bassani, Tito
Nollo, Giandomenico
Perseguini, Natália Maria
Milan, Juliana
Minatel, Vinícius
Borghi-Silva, Audrey
Takahashi, Anielle C. M.
Catai, Aparecida M.
Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title_full Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title_fullStr Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title_full_unstemmed Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title_short Effect of Age on Complexity and Causality of the Cardiovascular Control: Comparison between Model-Based and Model-Free Approaches
title_sort effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933610/
https://www.ncbi.nlm.nih.gov/pubmed/24586796
http://dx.doi.org/10.1371/journal.pone.0089463
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