Quantifying high-order interactions in cardiovascular and cerebrovascular networks
Contributo in Atti di convegno
Data di Pubblicazione:
2022
Citazione:
Quantifying high-order interactions in cardiovascular and cerebrovascular networks / L. Faes, G. Mijatovic, L. Sparacino, R. Pernice, Y. Antonacci, A. Porta, S. Stramaglia - In: 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)[s.l] : IEEE Press, 2022. - ISBN 978-1-6654-8513-5. - pp. 1-2 (( Intervento presentato al 12. convegno Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) tenutosi a Štrbské Pleso nel 2022 [10.1109/ESGCO55423.2022.9931385].
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.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
L. Faes, G. Mijatovic, L. Sparacino, R. Pernice, Y. Antonacci, A. Porta, S. Stramaglia
Link alla scheda completa:
Titolo del libro:
2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)