Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy

Cerebral hemodynamics describes an important physiological system affected by components such as blood pressure, CO<sub>2</sub> levels, and endothelial factors. Recently, novel techniques have emerged to analyse cerebral hemodynamics based on the calculation of entropies, which quantifie...

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Main Authors: Juan Fernández-Muñoz, Victoria J. Haunton, Ronney B. Panerai, José Luis Jara
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/26/1/23
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author Juan Fernández-Muñoz
Victoria J. Haunton
Ronney B. Panerai
José Luis Jara
author_facet Juan Fernández-Muñoz
Victoria J. Haunton
Ronney B. Panerai
José Luis Jara
author_sort Juan Fernández-Muñoz
collection DOAJ
description Cerebral hemodynamics describes an important physiological system affected by components such as blood pressure, CO<sub>2</sub> levels, and endothelial factors. Recently, novel techniques have emerged to analyse cerebral hemodynamics based on the calculation of entropies, which quantifies or describes changes in the complexity of this system when it is affected by a pathological or physiological influence. One recently described measure is transfer entropy, which allows for the determination of causality between the various components of a system in terms of their flow of information, and has shown positive results in the multivariate analysis of physiological signals. This study aims to determine whether conditional transfer entropy reflects the causality in terms of entropy generated by hypocapnia on cerebral hemodynamics. To achieve this, non-invasive signals from 28 healthy individuals who undertook a hyperventilation maneuver were analyzed using conditional transfer entropy to assess the variation in the relevance of CO<sub>2</sub> levels on cerebral blood velocity. By employing a specific method to discretize the signals, it was possible to differentiate the influence of CO<sub>2</sub> levels during the hyperventilation phase (22.0% and 20.3% increase for the left and right hemispheres, respectively) compared to normal breathing, which remained higher during the recovery phase (15.3% and 15.2% increase, respectively).
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spelling doaj.art-44bdee9dbd854fa19e6c94e3429d43532024-01-26T16:22:58ZengMDPI AGEntropy1099-43002023-12-012612310.3390/e26010023Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer EntropyJuan Fernández-Muñoz0Victoria J. Haunton1Ronney B. Panerai2José Luis Jara3Departamento de Ingeniería Informática, Facultad de Ingeniería, Universidad de Santiago de Chile, Santiago 9170022, ChileDepartment of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UKDepartment of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UKDepartamento de Ingeniería Informática, Facultad de Ingeniería, Universidad de Santiago de Chile, Santiago 9170022, ChileCerebral hemodynamics describes an important physiological system affected by components such as blood pressure, CO<sub>2</sub> levels, and endothelial factors. Recently, novel techniques have emerged to analyse cerebral hemodynamics based on the calculation of entropies, which quantifies or describes changes in the complexity of this system when it is affected by a pathological or physiological influence. One recently described measure is transfer entropy, which allows for the determination of causality between the various components of a system in terms of their flow of information, and has shown positive results in the multivariate analysis of physiological signals. This study aims to determine whether conditional transfer entropy reflects the causality in terms of entropy generated by hypocapnia on cerebral hemodynamics. To achieve this, non-invasive signals from 28 healthy individuals who undertook a hyperventilation maneuver were analyzed using conditional transfer entropy to assess the variation in the relevance of CO<sub>2</sub> levels on cerebral blood velocity. By employing a specific method to discretize the signals, it was possible to differentiate the influence of CO<sub>2</sub> levels during the hyperventilation phase (22.0% and 20.3% increase for the left and right hemispheres, respectively) compared to normal breathing, which remained higher during the recovery phase (15.3% and 15.2% increase, respectively).https://www.mdpi.com/1099-4300/26/1/23conditional transfer entropyinformation theorycerebral hemodynamics
spellingShingle Juan Fernández-Muñoz
Victoria J. Haunton
Ronney B. Panerai
José Luis Jara
Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
Entropy
conditional transfer entropy
information theory
cerebral hemodynamics
title Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
title_full Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
title_fullStr Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
title_full_unstemmed Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
title_short Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy
title_sort detection of blood co sub 2 sub influences on cerebral hemodynamics using transfer entropy
topic conditional transfer entropy
information theory
cerebral hemodynamics
url https://www.mdpi.com/1099-4300/26/1/23
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