This study introduces an approach, based on the information-theoretic measure of O-information rate, for analyzing time-varying higher order interactions (HOIs) between physiological systems, focusing on brain-heart interactions during sleep. The approach reveals significant modulation of HOIs across sleep stages in brain-heart networks, with reduced redundancy and potential synergistic behavior during REM. Our findings evidence the bidirectional nature of overnight physiological coupling between cardiac and brain rhythms, highlighting the potential for tracking HOIs over time.
Antonacci, Y., Vergara, V.R., Franzone, I., Jurysta, F., Pernice, R., Faes, L. (2024). Quantifying Time-Variant High-Order Interactions in Brain-Heart Networks during Sleep. In 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) (pp. 1-2) [10.1109/esgco63003.2024.10766967].
Quantifying Time-Variant High-Order Interactions in Brain-Heart Networks during Sleep
Antonacci, Yuri
Primo
;Vergara, Valeria R.;Franzone, Irene;Pernice, Riccardo;Faes, Luca
2024-11-29
Abstract
This study introduces an approach, based on the information-theoretic measure of O-information rate, for analyzing time-varying higher order interactions (HOIs) between physiological systems, focusing on brain-heart interactions during sleep. The approach reveals significant modulation of HOIs across sleep stages in brain-heart networks, with reduced redundancy and potential synergistic behavior during REM. Our findings evidence the bidirectional nature of overnight physiological coupling between cardiac and brain rhythms, highlighting the potential for tracking HOIs over time.File | Dimensione | Formato | |
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