Literature DB >> 23541295

Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategy.

Luca Faes1, Alberto Porta, Gianluca Rossato, Alessandro Adami, Davide Tonon, Antonio Corica, Giandomenico Nollo.   

Abstract

Some previous evidence suggests that postural related syncope is associated with defective mechanisms of cerebrovascular (CB) and cardiovascular (CV) control. We characterized the information processing in short-term CB regulation, from the variability of mean cerebral blood flow velocity (CBFV) and mean arterial pressure (AP), and in CV regulation, from the variability of heart period (HP) and systolic AP (SAP), in ten young subjects developing orthostatic syncope in response to prolonged head-up tilt testing. We exploited a novel information-theoretic approach that decomposes the information associated with a variability series into three amounts: the information stored in the series, the information transferred to the series from another series, and the information unexplained by the knowledge of both series. With this approach we were able to show that, compared with the first minutes after head-up tilt, in the period preceding the syncope event (i) the information stored in CBFV variability decreased significantly while the information transferred to CBFV from AP variability increased significantly; (ii) the information storage of HP was kept high but the information transferred to HP from SAP variability decreased significantly. These patterns of information processing suggest that presyncope occurs with a loss both of CB regulation, described by the reduced ability of CBFV of buffering AP fluctuations, and of CV regulation, described by the reduced baroreflex modulation from SAP to HP. We believe that the utilization of tools from the field of information dynamics may give an integrated view of the mechanisms of CB and CV regulation in normal and diseased states, and also provide a deeper understanding of findings revealed by more traditional techniques.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Baroreflex; Cerebral autoregulation; Conditional entropy; Head-up tilt; Information dynamics

Mesh:

Year:  2013        PMID: 23541295     DOI: 10.1016/j.autneu.2013.02.013

Source DB:  PubMed          Journal:  Auton Neurosci        ISSN: 1566-0702            Impact factor:   3.145


  14 in total

1.  Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations.

Authors:  Wanting Xiong; Luca Faes; Plamen Ch Ivanov
Journal:  Phys Rev E       Date:  2017-06-12       Impact factor: 2.529

2.  Comparison of short-term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring.

Authors:  Riccardo Pernice; Michal Javorka; Jana Krohova; Barbora Czippelova; Zuzana Turianikova; Alessandro Busacca; Luca Faes
Journal:  Med Biol Eng Comput       Date:  2019-02-07       Impact factor: 2.602

3.  Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatment.

Authors:  Luca Faes; Daniele Marinazzo; Sebastiano Stramaglia; Fabrice Jurysta; Alberto Porta; Nollo Giandomenico
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-13       Impact factor: 4.226

4.  Cardiovascular and cardiorespiratory phase synchronization in normovolemic and hypovolemic humans.

Authors:  Qingguang Zhang; Abhijit R Patwardhan; Charles F Knapp; Joyce M Evans
Journal:  Eur J Appl Physiol       Date:  2014-10-26       Impact factor: 3.078

5.  Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic.

Authors:  Gorana Mijatovic; Dragan Kljajic; Karolina Kasas-Lazetic; Miodrag Milutinov; Salvatore Stivala; Alessandro Busacca; Alfonso Carmelo Cino; Sebastiano Stramaglia; Luca Faes
Journal:  Entropy (Basel)       Date:  2022-05-20       Impact factor: 2.738

6.  Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions.

Authors:  Alberto Porta; Luca Faes; Andrea Marchi; Vlasta Bari; Beatrice De Maria; Stefano Guzzetti; Riccardo Colombo; Ferdinando Raimondi
Journal:  Front Physiol       Date:  2015-10-27       Impact factor: 4.566

7.  Local active information storage as a tool to understand distributed neural information processing.

Authors:  Michael Wibral; Joseph T Lizier; Sebastian Vögler; Viola Priesemann; Ralf Galuske
Journal:  Front Neuroinform       Date:  2014-01-28       Impact factor: 4.081

8.  Time-Frequency Analysis of Cardiovascular and Cardiorespiratory Interactions During Orthostatic Stress by Extended Partial Directed Coherence.

Authors:  Sonia Charleston-Villalobos; Sina Reulecke; Andreas Voss; Mahmood R Azimi-Sadjadi; Ramón González-Camarena; Mercedes J Gaitán-González; Jesús A González-Hermosillo; Guadalupe Hernández-Pacheco; Steffen Schulz; Tomás Aljama-Corrales
Journal:  Entropy (Basel)       Date:  2019-05-05       Impact factor: 2.524

9.  Entropy Measures in Analysis of Head up Tilt Test Outcome for Diagnosing Vasovagal Syncope.

Authors:  Katarzyna Buszko; Agnieszka Piątkowska; Edward Koźluk; Tomasz Fabiszak; Grzegorz Opolski
Journal:  Entropy (Basel)       Date:  2018-12-16       Impact factor: 2.524

10.  Inter-individual Relationships between Sympathetic Arterial Baroreflex Function and Cerebral Perfusion Control in Healthy Males.

Authors:  Trevor Witter; Yu-Chieh Tzeng; Terry O'Donnell; Jessica Kusel; Bridget Walker; Mary Berry; Chloe E Taylor
Journal:  Front Neurosci       Date:  2017-08-15       Impact factor: 4.677

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