| Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin Bioengineering 10 (3), 372, 2023 | 97 | 2023 |
| A new framework for the time-and frequency-domain assessment of high-order interactions in networks of random processes L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barà, L Sparacino, ... IEEE Transactions on Signal Processing 70, 5766-5777, 2022 | 43 | 2022 |
| Information transfer in linear multivariate processes assessed through penalized regression techniques: validation and application to physiological networks Y Antonacci, L Astolfi, G Nollo, L Faes Entropy 22 (7), 732, 2020 | 43 | 2020 |
| Multivariate correlation measures reveal structure and strength of brain–body physiological networks at rest and during mental stress R Pernice, Y Antonacci, M Zanetti, A Busacca, D Marinazzo, L Faes, ... Frontiers in neuroscience 14, 602584, 2021 | 37 | 2021 |
| Single-trial connectivity estimation through the least absolute shrinkage and selection operator Y Antonacci, J Toppi, D Mattia, A Pietrabissa, L Astolfi 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 33 | 2019 |
| An information-theoretic framework to measure the dynamic interaction between neural spike trains G Mijatovic, Y Antonacci, T Loncar-Turukalo, L Minati, L Faes IEEE Transactions on Biomedical Engineering 68 (12), 3471-3481, 2021 | 30 | 2021 |
| Measuring high-order interactions in rhythmic processes through multivariate spectral information decomposition Y Antonacci, L Minati, D Nuzzi, G Mijatovic, R Pernice, D Marinazzo, ... IEEE Access 9, 149486-149505, 2021 | 25 | 2021 |
| Gradients of O-information: Low-order descriptors of high-order dependencies T Scagliarini, D Nuzzi, Y Antonacci, L Faes, FE Rosas, D Marinazzo, ... Physical Review Research 5 (1), 013025, 2023 | 23 | 2023 |
| Information decomposition in the frequency domain: A new framework to study cardiovascular and cardiorespiratory oscillations L Faes, R Pernice, G Mijatovic, Y Antonacci, JC Krohova, M Javorka, ... Philosophical Transactions of the Royal Society A 379 (2212), 20200250, 2021 | 23 | 2021 |
| Resting state EEG directed functional connectivity unveils changes in motor network organization in subacute stroke patients after rehabilitation I Pirovano, A Mastropietro, Y Antonacci, C Barà, E Guanziroli, F Molteni, ... Frontiers in Physiology 13, 862207, 2022 | 21 | 2022 |
| Measuring the rate of information exchange in point-process data with application to cardiovascular variability G Mijatovic, R Pernice, A Perinelli, Y Antonacci, A Busacca, M Javorka, ... Frontiers in Network Physiology 1, 765332, 2022 | 21 | 2022 |
| Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators Y Antonacci, L Minati, L Faes, R Pernice, G Nollo, J Toppi, A Pietrabissa, ... PeerJ Computer Science 7, e429, 2021 | 21 | 2021 |
| Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls R Pernice, L Sparacino, V Bari, F Gelpi, B Cairo, G Mijatovic, Y Antonacci, ... Autonomic Neuroscience 242, 103021, 2022 | 17 | 2022 |
| Estimating brain connectivity when few data points are available: Perspectives and limitations Y Antonacci, J Toppi, S Caschera, A Anzolin, D Mattia, L Astolfi 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 16 | 2017 |
| Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactions Y Antonacci, C Barà, A Zaccaro, F Ferri, R Pernice, L Faes Frontiers in Network Physiology 3, 2023 | 14 | 2023 |
| Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions C Barà, L Sparacino, R Pernice, Y Antonacci, A Porta, D Kugiumtzis, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (3), 2023 | 14 | 2023 |
| Local granger causality S Stramaglia, T Scagliarini, Y Antonacci, L Faes Physical Review E 103 (2), L020102, 2021 | 11 | 2021 |
| Measuring the agreement between brain connectivity networks J Toppi, N Sciaraffa, Y Antonacci, A Anzolin, S Caschera, M Petti, D Mattia, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 11 | 2016 |
| Testing dynamic correlations and nonlinearity in bivariate time series through information measures and surrogate data analysis H Pinto, I Lazic, Y Antonacci, R Pernice, D Gu, C Barà, L Faes, AP Rocha Frontiers in network physiology 4, 1385421, 2024 | 10 | 2024 |
| Measuring connectivity in linear multivariate processes with penalized regression techniques Y Antonacci, J Toppi, A Pietrabissa, A Anzolin, L Astolfi IEEE Access, 2024 | 10 | 2024 |
Luca FaesProfessor of Biomedical Engineering, Department of Engineering, University of PalermoPatvirtintas el. paštas unipa.it
