We present a method to analyze the dynamics of physiological networks beyond the framework of pairwise interactions. Our method defines the so-called O-information rate (OIR) as a measure of the higher-order interaction among several physiological variables. The OIR measure is computed from the vector autoregressive representation of multiple time series, and is applied to the network formed by heart period, systolic and diastolic arterial pressure, respiration and cerebral blood flow variability series measured in healthy subjects at rest and after head-up tilt. Our results document that cardiovascular, cerebrovascular and respiratory interactions are highly redundant, and that redundancy is enhanced by the entrainment of cardiovascular and cerebrovascular oscillations and by sympathetic activation.

Faes, L., Mijatovic, G., Sparacino, L., Pernice, R., Antonacci, Y., Porta, A., et al. (2022). Quantifying High-Order Interactions in Cardiovascular and Cerebrovascular Networks. In Proceedings of 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) (pp. 1-2). IEEE [10.1109/ESGCO55423.2022.9931385].

Quantifying High-Order Interactions in Cardiovascular and Cerebrovascular Networks

Faes, L
;
Sparacino, L;Pernice, R;Antonacci, Y;
2022-10-09

Abstract

We present a method to analyze the dynamics of physiological networks beyond the framework of pairwise interactions. Our method defines the so-called O-information rate (OIR) as a measure of the higher-order interaction among several physiological variables. The OIR measure is computed from the vector autoregressive representation of multiple time series, and is applied to the network formed by heart period, systolic and diastolic arterial pressure, respiration and cerebral blood flow variability series measured in healthy subjects at rest and after head-up tilt. Our results document that cardiovascular, cerebrovascular and respiratory interactions are highly redundant, and that redundancy is enhanced by the entrainment of cardiovascular and cerebrovascular oscillations and by sympathetic activation.
Settore ING-INF/06 - Bioingegneria Elettronica E Informatica
978-1-6654-8512-8
Faes, L., Mijatovic, G., Sparacino, L., Pernice, R., Antonacci, Y., Porta, A., et al. (2022). Quantifying High-Order Interactions in Cardiovascular and Cerebrovascular Networks. In Proceedings of 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) (pp. 1-2). IEEE [10.1109/ESGCO55423.2022.9931385].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/575272
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