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Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings
The physiological mechanisms related to cardio-vascular (CV), cardio-pulmonary (CP), and vasculo-pulmonary (VP) regulation may be probed through multivariate time series analysis tools. This study applied an information domain approach for the evaluation of non-linear causality to the beat-to-beat v...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3209583/ https://www.ncbi.nlm.nih.gov/pubmed/22069390 http://dx.doi.org/10.3389/fphys.2011.00080 |
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author | Faes, Luca Nollo, Giandomenico Porta, Alberto |
author_facet | Faes, Luca Nollo, Giandomenico Porta, Alberto |
author_sort | Faes, Luca |
collection | PubMed |
description | The physiological mechanisms related to cardio-vascular (CV), cardio-pulmonary (CP), and vasculo-pulmonary (VP) regulation may be probed through multivariate time series analysis tools. This study applied an information domain approach for the evaluation of non-linear causality to the beat-to-beat variability series of heart period (t), systolic arterial pressure (s), and respiration (r) measured during tilt testing and paced breathing (PB) protocols. The approach quantifies the causal coupling from the series i to the series j (C(ij)) as the amount of information flowing from i to j. A measure of directionality is also obtained as the difference between two reciprocal causal couplings (D(i,j) = C(ij) − C(ji)). Significant causal coupling and directionality were detected respectively when the median of C(ij) over subjects was positive (C(ij) > 0), and when D(i,j) was statistically different from zero (D(i,j) > 0 or D(i,j) < 0). The method was applied on t, s, and r series measured in 15 healthy subjects (22–32 years, 8 males) in the supine (su) and upright (up) positions, and in further 15 subjects (21–29 years, 7 males) during spontaneous (sp) and paced (pa) breathing. In the control condition (su, sp), a significant causal coupling was observed for C(rs), C(rt), C(st), and C(ts), and significant directionality was present only from r to t (D(r,t) > 0). During head-up tilt (up, sp), C(rs) was preserved, C(rt) decreased to zero median, and C(st) and C(ts) increased significantly; directionality vanished between r and t (D(r,t) = 0) and raised from s to t (D(s,t) > 0). During PB (su, pa), C(rs) increased significantly, C(rt) and C(ts) were preserved, and C(st) decreased to zero median; directionality was preserved from r to t (D(r,t) > 0), and raised from r to s (D(r,s) > 0). These results suggest that the approach may reflect modifications of CV, CP, and VP mechanisms consequent to altered physiological conditions, such as the baroreflex engagement and the dampening of respiratory sinus arrhythmia induced by tilt, or the respiratory driving on arterial pressure induced by PB. Thus, it could be suggested as a tool for the non-invasive monitoring of CV and cardiorespiratory control systems in normal and impaired conditions. |
format | Online Article Text |
id | pubmed-3209583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32095832011-11-08 Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings Faes, Luca Nollo, Giandomenico Porta, Alberto Front Physiol Physiology The physiological mechanisms related to cardio-vascular (CV), cardio-pulmonary (CP), and vasculo-pulmonary (VP) regulation may be probed through multivariate time series analysis tools. This study applied an information domain approach for the evaluation of non-linear causality to the beat-to-beat variability series of heart period (t), systolic arterial pressure (s), and respiration (r) measured during tilt testing and paced breathing (PB) protocols. The approach quantifies the causal coupling from the series i to the series j (C(ij)) as the amount of information flowing from i to j. A measure of directionality is also obtained as the difference between two reciprocal causal couplings (D(i,j) = C(ij) − C(ji)). Significant causal coupling and directionality were detected respectively when the median of C(ij) over subjects was positive (C(ij) > 0), and when D(i,j) was statistically different from zero (D(i,j) > 0 or D(i,j) < 0). The method was applied on t, s, and r series measured in 15 healthy subjects (22–32 years, 8 males) in the supine (su) and upright (up) positions, and in further 15 subjects (21–29 years, 7 males) during spontaneous (sp) and paced (pa) breathing. In the control condition (su, sp), a significant causal coupling was observed for C(rs), C(rt), C(st), and C(ts), and significant directionality was present only from r to t (D(r,t) > 0). During head-up tilt (up, sp), C(rs) was preserved, C(rt) decreased to zero median, and C(st) and C(ts) increased significantly; directionality vanished between r and t (D(r,t) = 0) and raised from s to t (D(s,t) > 0). During PB (su, pa), C(rs) increased significantly, C(rt) and C(ts) were preserved, and C(st) decreased to zero median; directionality was preserved from r to t (D(r,t) > 0), and raised from r to s (D(r,s) > 0). These results suggest that the approach may reflect modifications of CV, CP, and VP mechanisms consequent to altered physiological conditions, such as the baroreflex engagement and the dampening of respiratory sinus arrhythmia induced by tilt, or the respiratory driving on arterial pressure induced by PB. Thus, it could be suggested as a tool for the non-invasive monitoring of CV and cardiorespiratory control systems in normal and impaired conditions. Frontiers Research Foundation 2011-11-07 /pmc/articles/PMC3209583/ /pubmed/22069390 http://dx.doi.org/10.3389/fphys.2011.00080 Text en Copyright © 2011 Faes, Nollo and Porta. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Physiology Faes, Luca Nollo, Giandomenico Porta, Alberto Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title | Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title_full | Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title_fullStr | Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title_full_unstemmed | Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title_short | Information Domain Approach to the Investigation of Cardio-Vascular, Cardio-Pulmonary, and Vasculo-Pulmonary Causal Couplings |
title_sort | information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplings |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3209583/ https://www.ncbi.nlm.nih.gov/pubmed/22069390 http://dx.doi.org/10.3389/fphys.2011.00080 |
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