Measuring the agreement between brain connectivity networks. - Jlenia Toppi; Nicolina Sciaraffa; Yuri Antonacci; Alessandra Anzolin; Stefano Caschera; Manuela Petti; Donatella Mattia; Laura Astolfi (EMBC, 2016)

Estimating brain connectivity when few data points are available: Perspectives and limitations. - Yuri Antonacci; Jlenia Toppi; Stefano Caschera; Alessandra Anzolin; Donatella Mattia; Laura Astolfi (EMBC, 2017)

Estimation of brain connectivity through Artificial Neural Networks. - Yuri Antonacci; Jlenia Toppi; Donatella Mattia; Antonio Pietrabissa; Laura Astolfi (EMBC, 2019)

Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator. - Yuri Antonacci; Jlenia Toppi; Donatella Mattia; Antonio Pietrabissa; Laura Astolfi (EMBC, 2019)

Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*. - Yuri Antonacci; Luca Faes; Laura Astolfi (EMBC, 2020)

Testing different methodologies for Granger causality estimation: A simulation study. - Yuri Antonacci; Laura Astolfi; Luca Faes (EUSIPCO, 2020)

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. - Yuri Antonacci; Laura Astolfi; Giandomenico Nollo; Luca Faes (Entropy, 2020)

A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes. - Yuri Antonacci; Ludovico Minati; Gorana Mijatovic; Luca Faes (EMBC, 2021)

Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions. - Gorana Mijatovic; Yuri Antonacci; Luca Faes (EMBC, 2021)

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. - Yuri Antonacci; Ludovico Minati; Davide Nuzzi; Gorana Mijatovic; Riccardo Pernice; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Access, 2021)

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. - Yuri Antonacci; Ludovico Minati; Luca Faes; Riccardo Pernice; Giandomenico Nollo; Jlenia Toppi; Antonio Pietrabissa; Laura Astolfi (PeerJ Comput. Sci., 2021)

An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains. - Gorana Mijatovic; Yuri Antonacci; Tatjana Loncar-Turukalo; Ludovico Minati; Luca Faes (IEEE Trans. Biomed. Eng., 2021)

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. - Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (COMPLEX NETWORKS (1), 2022)

Measuring the Amount of Concomitant Firing during Neural Development. - Gorana Mijatovic; Natalija Vukosavljevic; Yuri Antonacci; Luca Faes; Tatjana Loncar-Turukalo (SISY, 2022)

Gradients of O-information: low-order descriptors of high-order dependencies. - Tomas Scagliarini; Davide Nuzzi; Yuri Antonacci; Luca Faes; Fernando E. Rosas; Daniele Marinazzo; Sebastiano Stramaglia (CoRR, 2022)

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. - Luca Faes; Gorana Mijatovic; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Laura Sparacino; Marco Sammartino; Alberto Porta; Daniele Marinazzo; Sebastiano Stramaglia (IEEE Trans. Signal Process., 2022)

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. - Luca Faes; Gorana Mijatovic; Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia (EMBC, 2023)

Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. - Hélder Pinto; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Michal Javorka; Luca Faes; Ana Paula Rocha 002 (EMBC, 2023)

Statistical Approaches to Characterize Functional Connectivity in Brain and Physiologic Networks on a Single-Subject Basis. - Laura Sparacino; Martina Valentino; Yuri Antonacci; Giuseppe Parla; Gianvincenzo Sparacia; Luca Faes (EMBC, 2023)

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. - Chiara Barà; Andrea Zaccaro; Yuri Antonacci; Matteo Dalla Riva; Alessandro Busacca; Francesca Ferri; Luca Faes; Riccardo Pernice (Biomed. Signal Process. Control., 2023)

Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques. - Yuri Antonacci; Jlenia Toppi; Antonio Pietrabissa; Alessandra Anzolin; Laura Astolfi (IEEE Access, 2024)

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability. - Laura Sparacino; Yuri Antonacci; Chiara Barà; Angela Valenti; Alberto Porta; Luca Faes (IEEE Trans. Biomed. Eng., 2024)

Exploring transient neurophysiological states through local and time-varying measures of information dynamics. - Yuri Antonacci; Chiara Barà; Giulio de Felice; Antonino Sferlazza; Riccardo Pernice; Luca Faes (Appl. Math. Comput., 2025)

Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices. - Anna Raimondi; Alessandro Busacca; Giuseppe Costantino Giaconia; Yuri Antonacci; Salvatore Stivala; Luca Faes; Riccardo Pernice (Comput. Biol. Medicine, 2025)

Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: Theory, estimation, and illustrative application to physiological networks. - Laura Sparacino; Yuri Antonacci; Gorana Mijatovic; Luca Faes (Neurocomputing, 2025)

Network Representation of Higher-Order Interactions Based on Information Dynamics. - Gorana Mijatovic; Yuri Antonacci; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Netw. Sci. Eng., 2025)

Decomposing Multivariate Information Rates in Networks of Random Processes. - Laura Sparacino; Gorana Mijatovic; Yuri Antonacci; Leonardo Ricci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (CoRR, 2025)

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network. - Yuri Antonacci; Chiara Barà; Laura Sparacino; Ileana Pirovano; Alfonso Mastropietro; Giovanna Rizzo; Luca Faes (IEEE Trans. Biomed. Eng., 2025)