Laura Sparacino

14 papers Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessment of cerebrovascular interactions and control in coronary artery disease patients undergoing anaesthesia through bivariate predictability measures.
Medical Biol. Eng. Comput.
Roberta Saputo, Riccardo Pernice, Laura Sparacino, Vlasta Bari, Francesca Gelpi, Alberto Porta, Luca Faes
2026 J jnl
Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress.
PLoS Comput. Biol.
Chiara Barà, Laura Sparacino, Luca Faes, Michal Javorka
2025 J jnl
Decomposing Multivariate Information Rates in Networks of Random Processes.
CoRR
Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2025 J jnl
Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks.
Neurocomputing
Laura Sparacino, Yuri Antonacci, Gorana Mijatovic, Luca Faes
2025 J jnl
Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors in Physiological Networks.
IEEE Trans. Biomed. Eng.
Luca Faes, Gorana Mijatovic, Laura Sparacino, Alberto Porta
2025 J jnl
Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network.
IEEE Trans. Biomed. Eng.
Yuri Antonacci, Chiara Barà, Laura Sparacino, Ileana Pirovano, Alfonso Mastropietro, Giovanna Rizzo, Luca Faes
2024 J jnl
A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability.
IEEE Trans. Biomed. Eng.
Laura Sparacino, Yuri Antonacci, Chiara Barà, Angela Valenti, Alberto Porta, Luca Faes
2023 — conf
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition.
EMBC
Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia
2023 — conf
Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis.
EMBC
Laura Sparacino, Martina Valentino, Yuri Antonacci, Giuseppe Parla, Gianvincenzo Sparacia, Luca Faes
2022 J jnl
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes.
IEEE Trans. Signal Process.
Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
2022 — conf
A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography.
MeMeA
Gabriele Volpes, Laura Sparacino, Simone Valenti, Antonino Parisi, Alessandro Busacca, Luca Faes, Riccardo Pernice
2022 — conf
Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks.
ICIAP Workshops (1)
Simone Valenti, Laura Sparacino, Riccardo Pernice, Daniele Marinazzo, Hannes Almgren, Albert Comelli, Luca Faes
2022 — conf
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach.
COMPLEX NETWORKS (1)
Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021 J jnl
Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction.
Biomed. Signal Process. Control.
Riccardo Pernice, Laura Sparacino, Giandomenico Nollo, Salvatore Stivala, Alessandro Busacca, Luca Faes