YURI ANTONACCI

Assistant Professor

University of Palermo

Italy

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About

Yuri Antonacci is an Assistant Professor at the University of Palermo, Italy. His research focuses on high-dimensional network processes, information-theoretic analysis, and the dynamics of physiological signals, as evidenced by his recent publications. He has contributed to the understanding of interactions in cardiovascular and respiratory networks and has explored methodologies for assessing self-predictability and causality in physiological processes.

Articles (16)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

Collaborators (14)

Marco Tettamanti

Associate Professor

University of Milano-Bicocca

ITALY

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Jlenia Toppi

Associate Professor

Sapienza University of Rome

ITALY

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Albrecht Haase

University of Trento

ITALY

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Luca Faes

Professore Associato

Università degli Studi di Palermo

ITALY

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Daniele Marinazzo

Full professor

Ghent University

BELGIUM

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Laura Sparacino

University of Palermo

ITALY

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Riccardo Pernice

University of Palermo

ITALY

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Laura Astolfi

ITALY

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Marco Paoli

FRANCE

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Dimitris Kugiumtzis

GREECE

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Sebastiano Stramaglia

University of Bari Aldo Moro

ITALY

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Alberto Porta

Full Professor

Università degli Studi di Roma Tor Vergata Facoltà di Medicina e Chirurgia

ITALY

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Fabrizio GIULIANO

University of Palermo

ITALY

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Ana Paula Rocha

University of Porto

PORTUGAL

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YURI ANTONACCI

Research Interests

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Articles (16)

Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device

Information-Theoretic Sequential Framework to Elicit Dynamic High-Order Interactions in High-Dimensional Network Processes

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability

A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance

Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures

Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques

A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance

Comparison of Linear Model-Based and Nonlinear Model-Free Directional Coupling Measures: Analysis of Cardiovascular and Cardiorespiratory Interactions at Rest and During Physiological Stress

Comparison of the symptom networks of long-COVID and chronic fatigue syndrome: From modularity to connectionism

Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-Based Approach for the Temporal and Spatial Characterization of the Brain Dynamics

Gradients of O-information: Low-order descriptors of high-order dependencies

Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses

Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network

Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends

Rehabilitation Modulates High-Order Interactions Among Large-Scale Brain Networks in Subacute Stroke

Collaborators (14)

Marco Tettamanti

Jlenia Toppi

Albrecht Haase

Luca Faes

Daniele Marinazzo

Laura Sparacino

Riccardo Pernice

Laura Astolfi

Marco Paoli

Dimitris Kugiumtzis

Sebastiano Stramaglia

Alberto Porta

Fabrizio GIULIANO

Ana Paula Rocha

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