Full list of publications

see also my Google Scholar profile or my Scopus profile

Published - Journal papers (back to publications)

T Scagliarini, D Nuzzi, Y Antonacci, L Faes, FE Rosas, D Marinazzo, S Stramaglia, ' Gradients of O-information: low-order descriptors of high-order dependencies', Phys. Rev. Res., in press, 2023

G Volpes, C Barą, A Busacca, S Stivala, M Javorka, L Faes, R Pernice, 'Feasibility of Ultra-Short Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and During Stress via Time-domain and Entropy-based Measures', Sensors, 2022, 22:9149; DOI: 10.3390/s22239149

L Faes, L Faes, G Mijatovic, Y Antonacci, R Pernice, C Barą, L Sparacino, M Sammartino, A Porta, D Marinazzo, S Stramaglia, 'A new framework for the time- and frequency-domain assessment of high-order interactions in networks of random processes', IEEE Transactions on Signal Processing, 2022; 70: 5766-5777; DOI: 10.1109/TSP.2022.3221892

H Lee, H Chung, H Ko, R Pernice, A Parisi, A Busacca, L Faes, J Lee, 'Adaptive scheduling of acceleration and gyroscope for motion artifact cancellation in photoplethysmography', Computer Methods and Programs in Biomedicine, 2022; 226:107126; DOI: 10.1016/j.cmpb.2022.107126

R Pernice, L Sparacino, V Bari, F Gelpi, B Cairo, G Mijatovic, Y Antonacci, D Tonon, G Rossato, M Javorka, A Porta, L Faes, 'Spectral decomposition of cerebrovascular and cardiovascular interactions in patients prone to postural syncope and healthy controls', Autonomic Neuroscience: Basic and Clinical, 2022; 242:103021; DOI: 10.1016/j.autneu.2022.103021

H Pinto, R Pernice, ME Silva, M Javorka, L Faes, AP Rocha, 'Multiscale partial information decomposition of dynamic processes with short and long-range correlations: theory and application to cardiovascular control', Physiological Measurement, 2022; 43:085004; DOI: 10.1088/1361-6579/ac826c

R Pernice, L Faes, M Feucht, F Benninger, S Mangione, K Schiecke, 'Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsy', Journal of Neural Engineering, 2022; 19:045002; DOI: 10.1088/1741-2552/ac7fba

V Bari, L Barbarossa, F Gelpi, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, M Ranucci, R Barbieri, A Porta, 'Exploring metrics for the characterization of the cerebral autoregulation during head-up tilt and propofol general anesthesia', Autonomic Neuroscience: Basic and Clinical, 2022; 242:103011; DOI: 10.1016/j.autneu.2022.103011.

G Mijatovic, D Kljajic, K Kasas-Lazetic, M Milutinov, S Stivala, A Busacca, AC Cino, S Stramaglia, L Faes, 'Information dynamics of electric field intensity before and during the COVID-19 pandemic', Entropy, 2022, Special Issue "Back to the origin: addressing physical phenomena with information-theoretic tools"; 24(5), 726; DOI: 10.3390/e24050726

I Pirovano, A Mastropietro, Y Antonacci, C Barą, E Guanziroli, F Molteni, L Faes, G Rizzo, 'Resting state EEG directed functional connectivity unveils changes in motor network organization in subacute stroke patients after rehabilitation', Frontiers in Physiology, 2022; 13:862207; DOI: 10.3389/fphys.2022.862207

A Porta, F Gelpi, V Bari, B Cairo, B De Maria, D Tonon, G Rossato, M Ranucci, L Faes, 'Categorizing the role of respiration in cardiovascular and cerebrovascular variability interactions', IEEE Transactions on Biomedical Engineering, 2022; 69(6):2065-2076; DOI: 10.1109/TBME.2021.3135313

G Mijatovic, R Pernice, A Perinelli, Y Antonacci, M Javorka, L Ricci, L Faes, 'Measuring the rate of information exchange in point-process data with application to cardiovascular variability', Frontiers in Network Physiology, 2022, 1:765332; DOI: 10.3389/fnetp.2021.765332

F Gelpi, V Bari, B Cairo, B De Maria, D Tonon, G Rossato, L Faes, A Porta, 'Dynamic cerebrovascular autoregulation in patients prone to postural syncope: comparison of techniques assessing the autoregulation index from spontaneous variability series', Auton. Neurosci: Basic and Clinical, 2022; 237: 102920; DOI: 10.1016/j.autneu.2021.102920

J Morales, J Moeyersons, P Armanac, M Orini, L Faes, S Overeem, M Van Gilst, H Van Dijk, S Van Huffel, R Bailon and C Varon 'Model-based evaluation of methods for respiratory sinus arrhythmia quantification', IEEE Trans. Biomed. Eng., 2021; 68(6):1882-1893. DOI: 10.1109/TBME.2020.3028204

R Pernice, Y Antonacci, M Zanetti, A Busacca, D Marinazzo, L Faes, G Nollo, 'Multivariate correlation measures reveal structure and strength of brain-body physiological networks at rest and during mental stress', Frontiers in Neuroscience, Special Issue "The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems", 2021, 14:602584 (19 pages). DOI: 10.3389/fnins.2020.602584

S Ghiasi, A Greco, L Faes, M Javorka, R Barbieri, EP Scilingo, and G Valenza, 'Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors', Med. Biol. Eng. Comput., 2021; 59:775-785. DOI: 10.1007/s11517-020-02311-9

S Stramaglia, T Scagliarini, Y Antonacci, L Faes, 'Local Granger causality', Phys. Rev. E Letters, 2021; 103:L020102; DOI: 10.1103/PhysRevE.103.L020102 ; arXiv preprint: 2010.13833

G Mijatovic, T Loncar-Turukalo, N Bozanic, N Milosavljevic, R Storchi and L Faes, 'A measure of concurrent neural firing activity based on mutual information', Neuroinformatics, 2021; doi 10.1007/s12021-021-09515-w

Y Antonacci, L Minati, L Faes, R Pernice, G Nollo, J Toppi, A Pietrabissa, L Astolfi, 'Estimation of Granger causality through artificial neural networks: applications to physiological systems and chaotic electronic oscillators', PeerJ Comput. Sci., 2021; 7:e429. DOI: 10.7717/peerj-cs.429

R Pernice, L Sparacino, G Nollo, S Stivala, A Busacca, L Faes, 'Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after acute myocardial infarction', Biomed. Sig Proc. Control, 2021; 68:102680. DOI: https://doi.org/10.1016/j.bspc.2021.102680

I Lazic, R. Pernice, T. Loncar-Turukalo, G. Mijatovic, L. Faes, 'Assessment of cardiorespiratory interactions during apneic events in sleep via fuzzy kernel measures of information dynamics', Entropy, 2021; 23:698. DOI: 10.3390/e23060698

G Mijatovic, Y Antonacci, T Loncar-Turukalo, L Minati and L Faes, 'An information-theoretic framework to measure the dynamic interaction between neural spike trains', IEEE Trans. Biomed. Eng., 2021, 68(12): 3471-3481; DOI: 10.1109/TBME.2021.3073833

L Faes, R Pernice, G Mijatovic, Y Antonacci, J Krohova, M Javorka, A Porta, 'Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations' Phil Trans Royal Soc A, Special Issue "Advanced Computation in Cardiovascular Physiology: New Challenges and Opportunities", 2021; 379: 20200250. DOI: 10.1098/rsta.2020.0250

D Nuzzi, D Nuzzi, S Stramaglia, M Javorka, D Marinazzo, A Porta, L Faes, 'Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variability', Phil. Trans. Royal Soc. A, Special Issue "Advanced Computation in Cardiovascular Physiology: New Challenges and Opportunities", 2021; 379:20200263. DOI: 10.1098/rsta.2020.0263

G Valenza, L Faes, N Toschi, R Barbieri, 'Advanced computation in cardiovascular physiology: new challenges and opportunities', Phil Trans Royal Soc A, Special Issue Editorial, 2021; 379:20200265. DOI: 0.1098/rsta.2020.0265

Y Antonacci, L Minati, D Nuzzi, G Mijatovic, R Pernice, D Marinazzo, S Stramaglia, L Faes, 'Measuring high-order Interactions in rhythmic processes: a framework for the spectral information decomposition of multivariate time series', IEEE Access, 2021; 9:1-9. DOI: 10.1109/ACCESS.2021.3124601

A Ghouse, L Faes, G Valenza, 'Inferring causal strength and leading drivers of bidirectionally coupled dynamical systems using Gaussian processes priors', Phys. Rev. E, 2021; 104:064208; DOI: 10.1103/PhysRevE.104.064208

A Martins, R Pernice, C Amado, AP Rocha, ME Silva, M Javorka, L Faes, 'Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series', Entropy, special issue on  “Multiscale Entropy Approaches and Their Applications”, 2020, 22, 315; DOI: 10.3390/e22030315

M Javorka, J Krohova, , B Czippelova, Z Turianikova, N Mazgutova, R Wiszt, M Ciljakova, D Cernochova, R Pernice, A Busacca, L Faes, 'Respiratory sinus arrhythmia mechanisms in young obese subjects', Front. Neurosci., Research Topic “Cardiorespiratory Coupling-novel Insights for Integrative Biomedicine”, 2020, 14:204; DOI: 10.3389/fnins.2020.00204

J Krohova, L Faes, B Czippelova, R Pernice, Z Turianikova, R Wiszt, N Mazgutova, A Busacca, M Javorka, 'Vascular resistance arm of the baroreflex: methodology and comparison with the cardiac chronotropic arm', J. Appl. Physiol., 2020, 128(5):1310-1320; DOI: 10.1152/japplphysiol.00512.2019

Y Antonacci, L Astolfi, G Nollo, L Faes, 'Information transfer in linear multivariate processes assessed through penalized regression techniques: validation and application to physiological networks', Entropy, special issue “Assessing Complexity in Physiological Systems through Biomedical Signals Analysis”, 2020, 22(7), 732; DOI: 10.3390/e22070732

M Masč, L Faes, F Ravelli, 'Letter by Masč et al Regarding Article, "Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers"', Circ Arrhythm Electrophysiol. 2020, 13:e008675: 893-894. DOI: 10.1161/CIRCEP.120.008675

T Scagliarini, L Faes, D Marinazzo, S Stramaglia and RN Mantegna 'Synergistic information transfer in the global system of financial markets', Entropy, 2020; 22, 1000; DOI: 10.3390/e22091000

P Castiglioni, L Faes, G Valenza: 'Assessing complexity in physiological systems through biomedical signals analysis', Entropy, Special Issue Editorial, 2020; 22, 1005; DOI: 10.3390/e22091005

I Kotiuchyi, R Pernice, A Popov, L Faes, V Kharytonov, 'A framework to assess the information dynamics of source EEG activity and its application to epileptic brain networks', Brain Sciences, Special Issue "Human Brain Dynamics: Latest Advances and Prospects", 2020; 10:657; DOI: 10.3390/brainsci10090657

L Minati, H Ito, A Perinelli, L Ricci,  L Faes, N Yoshimura, Y Koike, M Frasca, 'Connectivity influences on non-linear dynamics in weakly-synchronized networks: insights from Roessler systems, electronic chaotic oscillators, model and biological neurons', IEEE Access, 2019, 7:174793 (29 pages). DOI: 10.1109/ACCESS.2019.2957014

L Faes, M Gomez Extremera, R Pernice, P Carpena, G Nollo, A Porta, P Bernaola Galvąn, 'Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states', Chaos, 2019; 29:123114. DOI: 10.1063/1.5115506

M Zanetti, T Mizumoto, L Faes, A Fornaser, M De Cecco, L Maule, M Valente, G Nollo, 'Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices', J. Ambient Intelligence & Humanized Comput., 2019; DOI: 10.1007/s12652-019-01571-0

TW Boonstra, L Faes, JN Kerkman, D Marinazzo, 'Information decomposition of multichannel EMG to map functional interactions in the distributed motor system', Neuroimage, 2019; 202:116093. DOI:10.1016/j.neuroimage.2019.116093

A Greco, L Faes, V Catambrone, R Barbieri, EP Scilingo, G Valenza, 'Lateralization of Directional Brain-Heart Information Transfer during Visual Emotional Elicitation', Am. J. Physiol. Regul. Integr. Comp. Physiol., 2019; 317: R25-R38. DOI: 10.1152/ajpregu.00151.2018

R Pernice, L Faes, I Kotiuchyi, S Stivala, AC Busacca, A Popov, V Kharytonov, 'Time, frequency and information domain analysis of short-term heart rate variability before and after focal and generalized seizures in epileptic children', Physiol. Meas., 2019; 40(7):074003. DOI: 10.1088/1361-6579/ab16a3

L Faes, MA Pereira, ME Silva, R Pernice, A Busacca, M Javorka, AP Rocha, 'Multiscale information storage of linear long-range correlated stochastic processes', Phys Rev E, 2019, 99:032115. DOI: 10.1103/PhysRevE.99.032115.

R Pernice, M Javorka, J Krohova, B Czippelova, Z Turianikova, AC Busacca, L Faes, 'Comparison of short term heart rate variability indexes evaluated through electrocardiographic and continuous blood pressure monitoring', Med Biol Eng Comput, 2019; 57:1247-1263. DOI: 10.1007/s11517-019-01957-4.

M Zanetti, L Faes, G Nollo, M De Cecco, R Pernice, L Maule, M Pertile, A Fornaser, 'Information dynamics of the brain, cardiovascular and respiratory network during different levels of mental stress', submitted, Entropy, special issue on “Information Dynamics in Brain and Physiological Networks”, 2019; 21(3): 275. DOI: 10.3390/e21030275.

J Krohova, L Faes, B Czippelova, Z Turianikova, N Mazgutova, R Pernice, A Busacca, D Marinazzo, S Stramaglia, M Javorka, 'Multiscale information decomposition dissects control mechanisms of heart rate variability at rest and during physiological stress', Entropy, special issue “Information Dynamics in Brain and Physiological Networks”, 2019, 21(3): 526. DOI: 10.3390/e21050526.

M Valente, M Javorka, G Nollo, A Porta, L Faes, 'Univariate and multivariate conditional entropy measures for the characterization of short-term cardiovascular complexity under physiological stress', Physiological Measurement, 2018, 39:014002; DOI: 10.1088/1361-6579/aa9a91.

G Valenza, L Faes, L Citi, M Orini, R Barbieri, 'Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardio-Respiratory Nonlinear Dynamics', IEEE Trans. Biomed. Eng., 2018;65(5):1077-1085. DOI: 10.1109/TBME.2017.2740259

M Javorka, J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszt, L Faes, 'Towards understanding the complexity of cardiovascular oscillations: insights from information theory ', Comp. Biol. Med., 2018; 98:48-57. DOI: 10.1016/j.compbiomed.2018.05.007

L Minati, L Faes, M Frasca, P Oswiecimka, S Drozdz, 'Apparent Remote synchronization of amplitudes: an interference and demodulation effect', Chaos, 2018, 28:063124 (14 pages); DOI: 10.1063/1.5026980

V Iacovella, L Faes, U Hasson, 'Task-induced deactivation in diverse brain systems correlates with interindividual differences in distinct autonomic indices', Neuropsychologia, 2018, 113:29-42. DOI: 10.1016/j.neuropsychologia.2018.03.005

J Krohova, B Czippelova, Z Turianikova, Z Lazarova, R Wiszt, M Javorka, L Faes, 'Information domain analysis of respiratory sinus arrhythmia mechanisms', Physiol. Res., 2018, 67(4):S611-S618.

L Faes, S Stramaglia, G Nollo, D Marinazzo, 'Multiscale Granger causality', Phys. Rev. E, 2017, 96:042150 (7 pages). DOI: 10.1103/PhysRevE.96.042150

L Faes, A Porta, M Javorka, G Nollo, 'Efficient computation of multiscale entropy over short biomedical time series based on linear state-space models', Complexity, 2017; 2017:1768264 (13 pages). DOI: 10.1155/2017/1768264

A Beda,  DMS Simpson, L Faes 'Estimation of Confidence Limits for Descriptive Indexes Derived from Autoregressive analysis of  Time Series: Methods and Application to Heart Rate Variability', PLoS ONE, 2017, 12(10):e0183230. DOI: 10.1371/journal.pone.0183230

L Faes, S Stramaglia, D Marinazzo, 'On the interpretability and computational reliability of frequency-domain Granger causality', F1000 Research, 2017,6:1710; DOI:10.12688/f1000research.12694.1

L Faes, A Porta, G Nollo, M Javorka, 'Information decomposition in multivariate systems: definitions, implementation and application to cardiovascular networks', Entropy, special issue on Multivariate entropy measures and their applications, 2017, 19(1), 5. DOI: 10.3390/e19010005

M Javorka, B Czippelova, Z Turianikova, Z Lazarova, I Tonhajzerova, L Faes, 'Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms', Med. Biol. Eng. Comput., 2017, 55:179-190; DOI: 10.1007/s11517-016-1492-y.

M Javorka, J Krohova, B Czippelova, Z Turianikova, Z Lazarova, I Tonhajzerova, L Faes, 'Basic Cardiovascular Variability Signals: Mutual Directed Interactions Explored in the Information Domain', Physiol. Meas., 2017; 38:877-894; DOI: 10.1088/1361-6579/aa5b77.

V Bari, B De Maria, G Rossato, D Tonon, G Nollo, L Faes, A Porta, 'Cerebrovascular and cardiovascular variability interactions investigated through conditional joint transfer entropy in subjects prone to postural syncope', Physiol. Meas., 2017; 38:976-991; DOI: 10.1088/1361-6579/aa638c.

A Alcaine, M Masč, A Cristoforetti, F Ravelli, G Nollo, P Laguna, JP Martinez, L Faes, 'A multi-variate predictability framework to assess invasive cardiac activity and interactions during atrial fibrillation', IEEE Trans. Biomed. Eng., 2017; 64(5):1157-1168. DOI: 10.1109/TBME.2016.2592953

A Porta, B De Maria, V Bari, A Marchi, L Faes, 'Are nonlinear model-free approaches for the assessment of the entropy-based complexity of the cardiac control superior to a linear model-based one?',  IEEE Trans. Biomed. Eng., 2017; 64(6), 1287-1296. DOI: 10.1109/TBME.2016.2600160

W Xiong, L Faes, P Ch Ivanov, 'Entropy measures, entropy estimators and their performance in quantifying complex dynamics: effects of artifacts, nonstationarity and long-range correlations', Phys. Rev. E, 2017; 95:062114 (37 pages). DOI: 10.1103/PhysRevE.95.062114

L Minati, M Frasca, P Oswiecimka, L Faes, S Drozdz, 'Atypical transistor-based chaotic oscillators: design, realization, and diversity', Chaos, 2017; 27:073113 (13 pages). DOI: 10.1063/1.4994815

L Faes, D Marinazzo, S Stramaglia, 'Multiscale information decomposition: exact computation for multivariate Gaussian processes', Entropy, special issue on Multivariate entropy measures and their applications, 2017, 19(8), 408. DOI: 10.3390/e19080408.

A Porta, V Bari, B De Maria, ACM Takahashi, S Guzzetti, R Colombo, AM Catai, F Raimondi, L Faes, 'Quantifying net synergy/redundancy of cardiovascular control via predictability and transfer entropy decomposition frameworks ', IEEE Trans. Biomed. Eng., 2017;64(11):2628-2638. DOI: 10.1109/TBME.2017.2654509

A Porta, L Faes, 'Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience', Proceedings of the IEEE 2016; 104(2): 282-309. DOI:10.1109/JPROC.2015.2476824.

L Faes, D Marinazzo, S Stramaglia, F Jurysta, A Porta, G Nollo, 'Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatment', Phil. Trans. R. Soc. A, special issue on "Uncovering brain-heart information through advanced signal and image processing", 2016; 374:20150177. DOI: 10.1098/rsta.2015.0177

V Bari, A Marchi, B De Maria, G Rossato, G Nollo, L Faes, A Porta, 'Nonlinear effects of respiration on the crosstalk between cardiovascular and cerebrovascular control systems in individuals experiencing postural syncope during head up tilt', Phil. Trans. R. Soc. A, special issue on "Uncovering brain-heart information through advanced signal and image processing", 2016; 374:20150179. DOI: 10.1098/rsta.2015.0179.

S Stramaglia, L Angelini, G Wu,  JM Cortes, L Faes, D Marinazzo, 'Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI', IEEE Trans. Biomed. Eng., special issue on Brain Connectivity, 2016; 63(12):2518-2524. DOI: 10.1109/TBME.2016.2559578.

L Faes, D Marinazzo, G Nollo, A Porta 'An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram', IEEE Trans. Biomed. Eng., special issue on Brain Connectivity, 2016; 63(12):2488-2496. DOI: 10.1109/TBME.2016.2569823.

JP Florian, KH Chon, L Faes, B Shykoff, 'Breathing 100% oxygen during water immersion improves post-immersion cardiovascular responses to orthostatic stress', Physiol. Rep. 2016, 4(23): e13031. DOI: 10.14814/phy2.13031.

F Van de Steen, L Faes, E Karahan, J Songsiri, PA Valdes Sosa, Daniele Marinazzo, 'Critical comments on EEG sensor space dynamical connectivity analysis', Brain Topogr., 2016:1-12. DOI: 10.1007/s10548-016-0538-7.

L Faes, D Kugiumtzis, A Montalto, G Nollo, D Marinazzo, 'Estimating the decomposition of predictive information in multivariate systems', Phys. Rev. E 2015; 91:032904 (16 pages).

L Faes
, A Porta, G Nollo, 'Information decomposition in bivariate systems: theory and application to cardiorespiratory dynamics', Entropy, special issue on “Entropy and Cardiac Physics”, 2015, 17:277-303.

L Faes, D Marinazzo, F Jurysta, G Nollo, 'Linear and nonlinear analysis of brain-heart and brain-brain interactions during sleep', Phys. Meas. 2015; 36:683-698.

L Schiatti, G Nollo, G Rossato, L Faes, 'Extended Granger causality: a new tool to identify the structure of physiological networks', Phys. Meas. 2015; 36:827-843.

A Porta, G Nollo, L Faes, 'Editorial: Bridging the gap between the development of advanced biomedical signal processing tools and clinical practice', Phys. Meas. 2015; 36:627-631.

C Varon, A Montalto, K Jansen, L Lagae, D Marinazzo, L Faes, S Van Huffel, 'Interictal cardiorespiratory variability in temporal lobe and absence epilepsy in childhood', Phys. Meas. 2015; 36:845-856.

D Widjaja, A Montalto, E Vlemincx, D Marinazzo, S Van Huffel, L Faes, 'Cardiorespiratory information dynamics during mental arithmetic and sustained attention', PLOS ONE 2015; 10(6): e0129112 (14 pages).

A Porta, L Faes, G Nollo, V Bari, A Marchi, B De Maria, ACM Takahashi, AM Catai, 'Conditional self-entropy and conditional joint transfer entropy in heart period variability during graded postural challenge', PLoS ONE 2015; 10(7):e0132851 (21 pages); doi:10.1371/journalpone.0132851.

A Montalto, S Stramaglia, L Faes, G Tessitore, R Prevete, D Marinazzo, 'Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality', Neural Networks 2015;71:159-171. DOI:10.1016/j.neunet.2015.08.003.

A Porta, L Faes, A. Marchi, V. Bari, B. De Maria, S. Guzzetti, R. Colombo, F. Raimondi 'Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions', Frontiers Physiol. 2015; 6:00301 (14 pages). DOI:10.3389/fphys.2015.00301

L Faes, G Nollo, F Jurysta, D Marinazzo, 'Information dynamics of brain-heart physiological networks during sleep', New J Phys 2014; 16:105005 (20 pages).

A Montalto, L Faes, D. Marinazzo, 'MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropy', PLOS ONE 2014; 9(10):e109462 (13 pages).

L Faes, D Marinazzo, A Montalto, G Nollo, 'Lag-specific transfer entropy as a tool to assess cardiovascular and cardiorespiratory information transfer', IEEE Trans Biomed Eng 2014; 61(10):2556-2568. DOI: 10.1109/TBME.2014.2323131

A Porta, L Faes, V Bari, A Marchi, T Bassani, G Nollo, ACM Takahashi, AM Catai, 'Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches', PLOS ONE 2014; 9(2):e89463 (14 pages).

L Faes, G Nollo, A Porta: 'Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series', Entropy; special issue on “Transfer Entropy”, 2013; 15(1):198-219.

L Faes, G Nollo: 'Measuring frequency domain Granger causality for multiple blocks of interacting time series', Biol Cyb 2013; 107:217-232 (DOI 10.1007/s00422-013-0547-5).

L Faes, S Erla, A Porta, G Nollo: 'A framework for assessing frequency domain causality in physiological time series with instantaneous effects', Philosophical Transactions A, special issue on “Causality in Brain Dynamics and Cardiovascular Control”; 2013;371:20110618 (21 pages).

A Porta, P Castiglioni, M Di Rienzo, T Bassani, V Bari, M Zanirato, L Faes, G Nollo, A Cividjan, L Quintin: 'Cardiovascular control and time domain Granger causality: insight from selective autonomic blockade', Philosophical Transactions A, special issue on “Causality in Brain Dynamics and Cardiovascular Control”; 2013;371:20120161 (16 pages).

L Faes, A Porta, G Rossato, A Adami, D Tonon, A Corica, G Nollo: 'Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategy', Autonomic Neurosci 2013; 178:76-82.

L Faes, M Masč, G Nollo, KH Chon, JP Florian: 'Measuring postural-related changes of spontaneous baroreflex sensitivity after repeated long-duration diving: frequency domain approaches', Autonomic Neurosci 2013; 178:96-102.

L Faes, G Nollo, A Porta: 'Mechanisms of causal interaction between short-term heart period and arterial pressure oscillations during orthostatic challenge', J Appl Physiol 2013;114:1657-1667.

JP Florian, EE Simmons, KH Chon, L Faes, B Shykoff: 'Cardiovascular and autonomic responses to physiological stressors before and after six hours of water immersion', J Appl Physiol 2013; 115:1275-1289.

A Porta, L Faes: 'Assessing causality in brain dynamics and cardiovascular control', Philosophical Transactions A, editorial of the special issue on “Causality in Brain Dynamics and Cardiovascular Control”, 2013;371:20120517 (5 pages).

L Faes, RG Andrzejak, M Ding, D Kugiumtzis: 'Methodological Advances in Brain Connectivity', Comp Math Methods Med, editorial of the special issue on “Methodological Advances in Brain Connectivity”, 2012; 492902:2 pages.

L Faes, G Nollo, A Porta: 'Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series', Comput Biol Med 2012; 42:290-297.

S Erla, L Faes, G Nollo, C Braun, C Papadelis: 'Multivariate EEG Spectral Analysis elicits the functional link between motor and visual cortex during integrative sensorimotor tasks', Biomed Signal Process Control 2012; 7:221-227.

U Richter, L Faes, F Ravelli, L Sörnmo, 'Propagation pattern analysis during atrial fibrillation based on sparse modeling', IEEE Trans Biomed Eng 2012; 59(5):1319-1328.

L Faes, S Erla, G Nollo: 'Measuring connectivity in linear multivariate processes: definitions, interpretation and practical analysis', Comp Math Methods Med, special issue on “Methodological Advances in Brain Connectivity”, 2012; 140513:18 pages.

L Faes, S Erla, G Nollo: 'Block partial directed coherence: a new tool for the structural analysis of brain Networks', Int J Bioelectromag 2012;14(4):162-166.

U Richter, L Faes, A Cristoforetti, M Masč, F Ravelli, M Stridh, L Sörnmo: 'A novel approach to propagation patterns analysis in intracardiac atrial fibrillation signals ', Ann Biomed Eng 2011; 39(1):310-323.

S Erla, L Faes, E Tranquillini, D Orrico, G Nollo: 'k-nearest neighbour local linear prediction for quantifying EEG complexity during intermittent photic stimulation', Med Eng Phys 2011; 33(4):504-512.

M Masč, W Mattei, R Cucino, L Faes, G Nollo: 'Feasibility of cuff-less measurement of systolic and diastolic arterial blood pressure', J Electrocardiol 2011; 44:201-207.

L Faes, G Nollo, A Porta: 'Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique', Phys Rev E; 2011; 83(5 Pt 1):051112.

L Faes, G Nollo, A Porta: 'Information domain approach to the investigation of cardio-vascular, cardio-pulmonary and vasculo-pulmonary causal couplings', Front Physiol, Special Issue “Engineering Approaches to Study Cardiovascular Physiology: Modeling, Estimation, and Signal Processing”, 2011; 2:80.

L Faes, A Porta, G Nollo: 'Testing frequency domain causality in multivariate time series', IEEE Trans Biomed Eng 2010; 57(8):1897-1906.

L Faes, G Nollo: 'Assessing frequency domain causality in cardiovascular time series with instantaneous interactions', Meth Inf Med 2010; 49(5);453-457.

S Erla, L Faes, G Nollo: 'Quantifying changes in EEG complexity induced by photic stimulation', Meth Inf Med 2010; 49(4); 496-500.

L Faes, G Nollo: ' Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions', Biol Cyb 2010; 103:387-400.

G Nollo, L Faes, R Antolini, A Porta: 'Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methods', Phil Trans R Soc A 2009;367:1423-40.

L Faes, Ki H Chon, G Nollo: 'A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals', IEEE Trans Biomed Eng 2009;56(2):205-209.

L Faes, H Zhao, Ki H Chon, G Nollo: 'Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variability', IEEE Trans Biomed Eng 2009;56(3):685-695.

S Erla, L Faes, E Tranquillini, D Orrico, G Nollo: 'Multivariate autoregressive model with instantaneous effects to improve brain connectivity estimation', Int J Bioelectromag 2009; 11(2):74-79.

A Cristoforetti, L Faes, F Ravelli, M Centonze, M Del Greco, R Antolini, G Nollo: 'Isolation of the left atrial surface from cardiac multi-detector CT images based on marker controlled watershed segmentation', Med Eng Phys 2008;30(1):48-58.

L Faes, G Nollo, K H Chon: 'Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability', Ann Biomed Eng 2008;36(3):381-395.

G Nollo, M Marconcini, L Faes, F Bovolo, F Ravelli, L Bruzzone: 'An Automatic system for the analysis and the classification of human atrial fibrillation patterns from intracardiac electrograms', IEEE Trans Biomed Eng 2008;55(9):2275-2285.

Y Bai, KL Siu, S Ashraf, L Faes, G Nollo, KH Chon: 'Nonlinear coupling is absent in acute myocardial patients but not healthy subjects', Am J Physiol Heart Circ Physiol 2008;295(2):H578-586.

L Faes, A Porta, G Nollo: 'Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: Comparison among different strategies based on k nearest neighbors', Phys Rev E 2008;78:026201.

F Ravelli, M Mase, M Del Greco, L Faes, M Disertori: 'Deterioration of organization in the first minutes of atrial fibrillation: a beat-to-beat analysis of cycle length and wave similarity', J Cardiovasc Electrophysiol 2007;18(1):60-65.

L Faes, G Nollo, F Ravelli, L Ricci, M Vescovi, M Turatto, F Pavani, R Antolini: 'Small-sample characterization of stochastic approximation staircases in forced-choice adaptive threshold estimation', Perception & Psychophysics 2007;69(2):254-262.

A Porta, L Faes, M Masč, G D’Addio, GD Pinna, R Maestri, N Montano, R Furlan, S Guzzetti, G Nollo, A Malliani: 'An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: application to 24h Holter recordings', Chaos 2007;17(1):015117.

L Faes, F Ravelli: 'A morphology–based approach to the evaluation of atrial fibrillation organization', IEEE Eng Med Biol Mag 2007;26(4):59-67.

A Cristoforetti, M Masč, L Faes, M Centonze, M Del Greco, R Antolini, G Nollo, F Ravelli: 'A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images', Phys Med Biol 2007;52(20):6323-6337.

L Faes, L Widesott, M Del Greco, R Antolini, G Nollo: 'Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope', IEEE Trans Biomed Eng 2006;53:65-73.

L Faes, G Nollo: 'Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability', Med Biol Eng Comput 2006;44(5):383-392.

L Faes, R Cucino, G Nollo: 'Mixed predictability and cross-validation to assess nonlinear Granger causality in short cardiovascular variability series', Biomedizinische Technik (Biomedical Engineering) 2006;51(4):255-259.

G Nollo, L Faes, A Porta, R Antolini, F Ravelli: 'Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans. Implications in the evaluation of the baroreflex gain', Am J Physiol Heart Circ Physiol 2005;288(4):H1777-H1785.

F Ravelli, L Faes, L Sandrini, F Gaita, R Antolini, M Scaglione, G Nollo 'wave similarity mapping shows the spatiotemporal distribution of fibrillatory wave complexity in the human right atrium during paroxysmal and chronic atrial fibrillation', J Cardiovasc Electrophysiol 2005;16:1071-1076.

M Masč, L Faes, R Antolini, M Scaglione, F Ravelli ‘Quantification of synchronization during atrial fibrillation by Shannon entropy: validation in patients and computer model of atrial arrhythmias’, Physiol Meas 2005;26:911-923.

L Faes, GD Pinna, A Porta, R Maestri, G Nollo: 'Surrogate data analysis for assessing the significance of the coherence function', IEEE Trans Biomed Eng 2004;51(7):1156-1166.

L Faes, A Porta, R Cucino, S Cerutti, R Antolini, G Nollo: 'Causal transfer function analysis to describe the closed loop interactions between cardiovascular and cardiorespiratory variability signals', Biol Cybern 2004;90(6):390-399.

B Pellegrini, L Faes, G Nollo, F Schena: 'Quantifying the contribution of arm postural tremor to the outcome of goal-directed pointing task by displacement measures', J Neurosci Methods 2004;139:185-193.

G Nollo, L Faes, A Porta, B Pellegrini, F Ravelli, M Del Greco, M Disertori, R Antolini: 'Evidence of unbalanced regulatory mechanism of heart rate and systolic pressure after acute myocardial infarction', Am J Physiol Heart Circ Physiol 2002;83:H1200-H1207.

L Faes, G Nollo, R Antolini, F Gaita, F Ravelli: 'A method for quantifying atrial fibrillation organization based on wave morphology similarity', IEEE Trans Biomed Eng 2002;49:1504-1513.

L Faes, G Nollo, R Antolini: 'Experimental approach for testing the uncoupling between cardiovascular variability series', Med Biol Eng Comput 2002;40:565-570.

G Nollo, A Porta, L Faes, M Del Greco, M Disertori, F Ravelli: 'Causal linear parametric model for baroreflex gain assessment in patients with recent myocardial infarction', Am J Physiol Heart Circ Physiol 2001;280:H1830-H1839.

L Faes, G Nollo, M Kirchner, E Olivetti, F Gaita, R Riccardi, R Antolini: 'Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation', Med Biol Eng Comput 2001;39:656-663.