L. Astolfi

F. Babiloni, F. Cincotti, S. Salinari, 2011, 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism.

Dynamic connectivity among cortical layers in local and large‐scale sensory processing

Laura Astolfi, Gijs Plomp, Christoph M Michel, 2014, The European journal of neuroscience.

High Resolution EEG Hyperscanning During a Card Game

F. Cincotti, D. Mattia, A. Tocci, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

F. Cincotti, L. Astolfi, D. Mattia, 2019, Neurorehabilitation and neural repair.

Cortical Activity and Connectivity of Human Brain during the Prisoner's Dilemma: an EEG Hyperscanning Study

F. Cincotti, D. Mattia, A. Tocci, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Early recurrence and ongoing parietal driving during elementary visual processing

Laura Astolfi, Christoph M. Michel, Alexis Hervais-Adelman, 2015, Scientific Reports.

Brain-Computer Interfaces for Assessment and Communication in Disorders of Consciousness

Laura Astolfi, Febo Cincotti, Lucia Rita Quitadamo, 2014 .

Multiple Pathways Analysis of Brain Functional Networks from EEG Signals: An Application to Real Data

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2010, Brain Topography.

Brain Activity Related to the Memorization of TV Commercials

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2008 .

Neural Basis for Brain Responses to TV Commercials: A High-Resolution EEG Study

F. Cincotti, D. Mattia, A. Tocci, 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Assessment of Effective Connectivity among Cortical Regions based on a Neural Mass Model

L. Astolfi, F. Babiloni, M. Zavaglia, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

NeuralBasisforBrainResponsestoTVCommercials: A High-Resolution EEG Study

F. Cincotti, L. Bianchi, S. Salinari, 2008 .

Neural Basis For The Brain Responses To The Marketing Messages: an High Resolution EEG study

F. Babiloni, F. Cincotti, L. Bianchi, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study

L Astolfi, C. Freitag, L. Astolfi, 2018, Scientific Reports.

Understanding Cerebral Activations in Neuromarketing - A Neuroelectrical Perspective

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, BIOSIGNALS.

Investigation on the pleasantness of music perception in monolateral and bilateral cochlear implant users by using neuroelectrical source imaging: A pilot study

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of the cortical activity from simultaneous multi-subject EEG recordings during social interactions

Laura Astolfi, Fabio Babiloni, Jlenia Toppi, 2011, Neuroscience Letters.

Simultaneous Tracking of Multiple Brains Activity with High Resolution EEG Hyperscannings

F. Babiloni, F. Cincotti, L. Bianchi, 2007, 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging.

Brain Connectivity Structure in Spinal Cord Injured: Evaluation by Graph Analysis

J. Kurths, F. Cincotti, S. Salinari, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Large-scale cortical networks estimated from scalp EEG signals during performance of goal-directed motor tasks

F. Babiloni, F. Cincotti, S. Salinari, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Cortical Connectivity Patterns During Imagination Of Limb Movements In Normal Subjects And In A Spinal Cord Injured Patient

Wei Wu, F. Cincotti, M. Marciani, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

P31.3 On the estimation of causality between cortical spatial patterns during voluntary movements in normal subjects by using independent component analysis

A. Cichocki, Y. Yamaguchi, F. Babiloni, 2006, Clinical Neurophysiology.

Estimation Of The Effective and Functional Cortical Connectivity During A Finger Tapping Movement

Laura Astolfi, Febo Cincotti, Serenella Salinari, 2004 .

Estimation of Time-frequency Causal Influences Between Cortical Areas During a Combined Movement of Foot and Lips

F. Babiloni, F. Cincotti, S. Salinari, 2022 .

A novel approach to measure brain-to-brain spatial and temporal alignment during positive empathy

C. Freitag, L. Astolfi, J. Toppi, 2022, Scientific Reports.

Controversies in EEG Source Imaging and Connectivity: Modeling, Validation, Benchmarking

Daniele Marinazzo, L. Marzetti, L. Astolfi, 2019, Brain Topography.

Corrigendum to “The issue of multiple univariate comparisons in the context of neuroelectric brain mapping: An application in a neuromarketing experiment” [J. Neurosci. Methods 191 (2010) 283–289]

G. Vecchiato, F. Babiloni, L. Astolfi, 2011, Journal of Neuroscience Methods.

The use of neural mass models for the analysis of brain connectivity from high resolution scalp EEG

Laura Astolfi, F. Babiloni, Mauro Ursino, 2006 .

High-Resolution EEG and Estimation of Cortical Activity for Brain-Computer Interface Applications

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2007 .

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

Ludovico Minati, Laura Astolfi, Luca Faes, 2021, PeerJ Comput. Sci..

Testing the Significance of Connectivity Networks: Comparison of Different Assessing Procedures

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2016, IEEE Transactions on Biomedical Engineering.

Testing the Significance of Connectivity Networks: Comparison of Different Assessing Procedures.

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2016, IEEE transactions on bio-medical engineering.

Eeg-based Graph Theory indices to Support the Clinical Diagnosis of Disorders of Consciousness

Laura Astolfi, Donatella Mattia, Jlenia Toppi, 2017, GBCIC.

On ERPs detection in disorders of consciousness rehabilitation

Laura Astolfi, Febo Cincotti, Luigi Bianchi, 2013, Front. Hum. Neurosci..

A Novel Method to Assess Motor Cortex Connectivity and Event Related Desynchronization Based on Mass Models

L. Astolfi, F. Pichiorri, M. Petti, 2021, Brain Sciences.

Neuropolitics: EEG spectral maps related to a political vote based on the first impression of the candidate's face

F. Babiloni, F. Cincotti, L. Astolfi, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Different Topological Properties of EEG-Derived Networks Describe Working Memory Phases as Revealed by Graph Theoretical Analysis

Laura Astolfi, Donatella Mattia, Jlenia Toppi, 2018, Front. Hum. Neurosci..

Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps

Govinda R. Poudel, Richard D. Jones, Laura Astolfi, 2016, NeuroImage.

Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

Laura Astolfi, Stefan Haufe, Daniele Marinazzo, 2019, Brain Topography.

Effect of head volume conduction on directed connectivity estimated between reconstructed EEG sources

Laura Astolfi, Stefan Haufe, Daniele Marinazzo, 2018, bioRxiv.

A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials

Laura Astolfi, Fabio Babiloni, Herbert Witte, 2010, NeuroImage.

EEG Resting-State Brain Topological Reorganization as a Function of Age

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2016, Comput. Intell. Neurosci..

Multi-modal and multi-subject modular organization of human brain networks

Richard F. Betzel, M. G. Puxeddu, O. Sporns, 2022, NeuroImage.

The modular organization of brain cortical connectivity across the human lifespan

Richard F. Betzel, M. G. Puxeddu, O. Sporns, 2020, NeuroImage.

Community detection: Comparison among clustering algorithms and application to EEG-based brain networks

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Community structure in large-scale cortical networks during motor acts

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2012 .

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

M. G. Puxeddu, L. Astolfi, M. Petti, 2021, Frontiers in Systems Neuroscience.

Time-Variant Modeling of Brain Processes

Laura Astolfi, Herbert Witte, Karin Schiecke, 2016, Proceedings of the IEEE.

Controversies in EEG Source Imaging and Connectivity: Modeling, Validation, Benchmarking

Laura Astolfi, Dezhong Yao, Daniele Marinazzo, 2019, Brain Topography.

Raising the bar: Can dual scanning improve our understanding of joint action?

Jlenia Toppi, Laura Astolfi, Pascal Vogel, 2020, NeuroImage.

Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study

Laura Astolfi, Fabio Babiloni, Jlenia Toppi, 2016, PloS one.

Hypermethods for EEG hyperscanning

Laura Astolfi, Febo Cincotti, Maria Grazia Marciani, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of psychiatric-disorder subtypes from functional-connectivity patterns in resting-state electroencephalography

M. Trivedi, C. Marmar, M. Arns, 2020, Nature Biomedical Engineering.

Electrophysiological Brain Connectivity: Theory and Implementation

Laura Astolfi, Christoph M. Michel, Daniele Marinazzo, 2019, IEEE Transactions on Biomedical Engineering.

Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2008, IEEE Transactions on Biomedical Engineering.

Connectome : A MATLAB toolbox for mapping and imaging of brain

Laura Astolfi, Fabio Babiloni, Bin He, 2010 .

Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle.

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2004, Magnetic resonance imaging.

Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, Comput. Intell. Neurosci..

Motor cortical responsiveness to attempted movements in tetraplegia: Evidence from neuroelectrical imaging

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2009, Clinical Neurophysiology.

The Effect of Connectivity on EEG Rhythms, Power Spectral Density and Coherence Among Coupled Neural Populations: Analysis With a Neural Mass Model

Laura Astolfi, Fabio Babiloni, Mauro Ursino, 2008, IEEE Transactions on Biomedical Engineering.

K-shell decomposition reveals hierarchical cortical organization of the human brain

Beth A. Lopour, V. Latora, R. Staba, 2016 .

An EEG index of sensorimotor interhemispheric coupling after unilateral stroke: clinical and neurophysiological study

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2018, The European journal of neuroscience.

How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2012, Comput. Math. Methods Medicine.

Cortical Network Dynamics during Foot Movements

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2008, Neuroinformatics.

Neuroelectrical Correlates of Trustworthiness and Dominance Judgments Related to the Observation of Political Candidates

Laura Astolfi, Fabio Babiloni, Alfredo Colosimo, 2014, Comput. Math. Methods Medicine.

Time-variant partial directed coherence for analysing connectivity: a methodological study

F Babiloni, L Astolfi, L Leistritz, 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Time-varying cortical connectivity estimation from noninvasive, high-resolution EEG recordings

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2010 .

Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices

Laura Astolfi, Fabio Babiloni, Gianluca Borghini, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator

Laura Astolfi, Antonio Pietrabissa, Donatella Mattia, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The physiological plausibility of time-varying Granger-causal modeling: Normalization and weighting by spectral power

Laura Astolfi, Gijs Plomp, Christoph M Michel, 2014, NeuroImage.

Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2006, IEEE Transactions on Biomedical Engineering.

Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data

F. Babiloni, F. Cincotti, C. Babiloni, 2005, Clinical Neurophysiology.

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks

Luca Faes, Laura Astolfi, Giandomenico Nollo, 2020, Entropy.

On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, Comput. Intell. Neurosci..

Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI A Priori Information

Laura Astolfi, Fabio Babiloni, L. Astolfi, 2014 .

Patient-Clinician Brain Response During Clinical Encounter and Pain Treatment

L. Astolfi, A. Anzolin, K. Isenburg, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A graph-theoretical approach in brain functional networks. Possible implications in EEG studies

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2010, Nonlinear biomedical physics.

The Optimal Setting for Multilayer Modularity Optimization in Multilayer Brain Networks*

D. Mattia, L. Astolfi, M. G. Puxeddu, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Structural Organization of Functional Networks from EEG Signals during Motor Learning Tasks

Laura Astolfi, Fabio Babiloni, George Zouridakis, 2010, Int. J. Bifurc. Chaos.

SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms

Laura Astolfi, Febo Cincotti, Jlenia Toppi, 2021, Sensors.

Transcranial cerebellar direct current stimulation: Effects on brain resting state oscillatory and network activity

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bci-Assisted Training for upper limb motor Rehabilitation: estimation of effects on Individual brain connectivity and motor Functions

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2017, GBCIC.

Electroencephalography (EEG)-derived markers to Measure Components of Attention Processing

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2017, GBCIC.

Investigating the neural basis of empathy by EEG hyperscanning during a Third Party Punishment

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Graph theory in brain-to-brain connectivity: A simulation study and an application to an EEG hyperscanning experiment

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Investigating the neural basis of cooperative joint action. An EEG hyperscanning study

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Individual cortical connectivity changes after stroke: A resampling approach to enable statistical assessment at single-subject level

Laura Astolfi, Febo Cincotti, Serenella Salinari, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Removal of ocular artifacts for high resolution EEG studies: a simulation study

F. Babiloni, F. Cincotti, M. Mattiocco, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory.

F Cincotti, A Colosimo, S Salinari, 2007, Psychophysiology.

Time-Varying Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes

Laura Astolfi, Fabio Babiloni, Donatella Mattia, 2014 .

Investigating statistical differences in connectivity patterns properties at single subject level: A new resampling approach

Laura Astolfi, Febo Cincotti, Serenella Salinari, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of Effective and Functional Cortical Connectivity From Neuroelectric and Hemodynamic Recordings

F. Babiloni, F. Cincotti, D. Mattia, 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Characterization of Cortical Networks during Motor Tasks in Humans

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2008 .

Brain Network Analysis From High-Resolution EEG Recordings by the Application of Theoretical Graph Indexes

F. Babiloni, F. Cincotti, D. Mattia, 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques

Laura Astolfi, Fabio Babiloni, L. Astolfi, 2008, Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques.

Estimation of the cortical connectivity patterns during the intention of limb movements

F. Babiloni, F. Cincotti, D. Mattia, 2006, IEEE Engineering in Medicine and Biology Magazine.

Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: Simulations and application to finger tapping data

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2005, IEEE Transactions on Biomedical Engineering.

Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2004, Magnetic resonance imaging.

Time-varying cortical connectivity by high resolution EEG and directed transfer function: simulations and application to finger tapping data

F. Babiloni, F. Cincotti, C. Babiloni, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Describing relevant indices from the resting state electrophysiological networks

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The issue of multiple univariate comparisons in the context of neuroelectric brain mapping: An application in a neuromarketing experiment

G. Vecchiato, F. Babiloni, F. De Vico Fallani, 2010, Journal of Neuroscience Methods.

Brain activity during the memorization of visual scenes from TV commercials: An application of high resolution EEG and steady state somatosensory evoked potentials technologies

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2009, Journal of Physiology-Paris.

Structure of the cortical networks during successful memory encoding in TV commercials

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, 2008, Clinical Neurophysiology.

EEG Analysis of the Brain Activity during the Observation of Commercial, Political, or Public Service Announcements

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2009, Comput. Intell. Neurosci..

The Track of Brain Activity during the Observation of TV Commercials with the High-Resolution EEG Technology

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2009, Comput. Intell. Neurosci..

Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, Medical & Biological Engineering & Computing.

Patterns of cortical activity during the observation of Public Service Announcements and commercial advertisings

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2010, Nonlinear biomedical physics.

Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study

C. Freitag, L. Astolfi, J. Toppi, 2018, Scientific Reports.

Time varying effective connectivity for describing brain network changes induced by a memory rehabilitation treatment

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A new statistical approach for the extraction of adjacency matrix from effective connectivity networks

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Features Extraction from Time-Varying Cortical Networks Adopting a Theoretical Graph Approach

F. Babiloni, F. Cincotti, D. Mattia, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Extracting Information from Cortical Connectivity Patterns Estimated from High Resolution EEG Recordings: A Theoretical Graph Approach

Laura Astolfi, Febo Cincotti, Maria Grazia Marciani, 2007, Brain Topography.

Imaging the Social Brain by Simultaneous Hyperscanning during Subject Interaction

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, IEEE Intelligent Systems.

Defecting or Not Defecting: How to “Read” Human Behavior during Cooperative Games by EEG Measurements

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2010, PloS one.

Interfacing brain and computer in neurorehabilitation

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

High-resolution EEG techniques for brain–computer interface applications

Febo Cincotti, Fabio Babiloni, Fabio Aloise, 2008, Journal of Neuroscience Methods.

EEG source estimation accuracy in presence of simulated cortical lesions

Laura Astolfi, Donatella Mattia, Manuela Petti, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spectrally weighted Granger-causal modeling: Motivation and applications to data from animal models and epileptic patients

Laura Astolfi, Christoph M. Michel, Gijs Plomp, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Advanced methods for time-varying effective connectivity estimation in memory processes

Laura Astolfi, Fabio Babiloni, Serenella Salinari, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

G. Borghini, L. Astolfi, D. Mattia, 2014, Neuroscience & Biobehavioral Reviews.

Network Inference and Reconstruction in Bioinformatics

Laura Astolfi, Paolo Tieri, Filippo Castiglione, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement

F. Babiloni, F. Cincotti, D. Mattia, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of the time-varying cortical connectivity patterns by the adaptive multivariate estimators in high resolution EEG studies

F. Babiloni, F. Cincotti, M. Mattiocco, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Performance Analysis on Trained and Recreational Runners in the Venice Marathon Events from 2007 to 2019

M. Falda, D. Guidolin, L. Astolfi, 2023, Applied Sciences.

Imaging the social brain: multi-subjects EEG recordings during the “Chicken's game”

F. Cincotti, B. He, D. Mattia, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Testing different methodologies for Granger causality estimation: A simulation study

Laura Astolfi, Luca Faes, Yuri Antonacci, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Estimating brain connectivity when few data points are available: Perspectives and limitations

Laura Astolfi, Donatella Mattia, Jlenia Toppi, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Estimation of Cortical Activity for Brain-Computer Interface: Applications in a Domotic Context

F. Babiloni, F. Cincotti, D. Mattia, 2007, Comput. Intell. Neurosci..

Cortical network topology during successful memory encoding in a lifelike experiment

F. Babiloni, F. Cincotti, D. Mattia, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordings

Laura Astolfi, Fabio Babiloni, Mauro Ursino, 2007, Biological Cybernetics.

Signal Informatics as an Advanced Integrative Concept in the Framework of Medical Informatics

F Babiloni, L Astolfi, L Leistritz, 2009, Methods of Information in Medicine.

Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques

L. Astolfi, J. Toppi, A. Pietrabissa, 2023, bioRxiv.

Brain connectivity networks at the basis of human attention components: An EEG study

Laura Astolfi, Donatella Mattia, Jlenia Toppi, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

Daniele Marinazzo, L. Astolfi, S. Haufe, 2019, Brain Topography.

Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects

Laura Astolfi, Fabio Babiloni, Daming Wei, 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

Understanding Cerebral Activations during the Observation of Marketing Stimuli: A Neuroelectrical Perspective

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, BIOSTEC.

The added value of the electrical neuroimaging for the evaluation of marketing stimuli

Laura Astolfi, Febo Cincotti, Donatella Mattia, 2012 .

Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

G. Borghini, L. Astolfi, D. Mattia, 2014, Neuroscience & Biobehavioral Reviews.

Dynamic connectivity among cortical layers in local and large‐scale sensory processing

C. Quairiaux, L. Astolfi, C. Michel, 2014, The European journal of neuroscience.

Time-varying functional connectivity for understanding the neural basis of behavioral microsleeps

Richard D. Jones, S. Salinari, L. Astolfi, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Laboratory of functional neuroelectrical imaging and brain–computer interfacing at Fondazione Santa Lucia

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2005, Cognitive Processing.

Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques

L. Astolfi, F. Babiloni, 2008, Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques.

Study of the time-varying cortical connectivity changes during the attempt of foot movements by spinal cord injured and healthy subjects

F. Babiloni, F. Cincotti, S. Salinari, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of Directional Coupling between Cortical Areas Using Near-infrared Spectroscopy (nirs) References and Links

A. Ziehe, S. Kiebel, C. Crainiceanu, 2022 .

Measuring the agreement between brain connectivity networks

Laura Astolfi, Nicolina Sciaraffa, Donatella Mattia, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Effect of inter-trials variability on the estimation of cortical connectivity by Partial Directed Coherence

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The effect of normalization of Partial Directed Coherence on the statistical assessment of connectivity patterns: A simulation study

F. Cincotti, D. Mattia, L. Astolfi, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cortical activity and functional hyperconnectivity by simultaneous EEG recordings from interacting couples of professional pilots

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Study of the functional hyperconnectivity between couples of pilots during flight simulation: An EEG hyperscanning study

Laura Astolfi, Febo Cincotti, Bin He, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Testing the asymptotic statistic for the assessment of the significance of partial directed coherence connectivity patterns

Laura Astolfi, Febo Cincotti, Serenella Salinari, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Subject identification through standard EEG signals during resting states

Laura Astolfi, Jlenia Toppi, Giovanni Vecchiato, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity

F. Babiloni, L. Astolfi, Lin Yang, 2011, Journal of Neuroscience Methods.

Changes in EEG Power Spectral Density and Cortical Connectivity in Healthy and Tetraplegic Patients during a Motor Imagery Task

Laura Astolfi, Fabio Babiloni, Mauro Ursino, 2009, Comput. Intell. Neurosci..

Redundancy in Functional Brain Connectivity from EEG Recordings

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2012, Int. J. Bifurc. Chaos.

Multi-layer analysis of multi-frequency brain networks as a new tool to study EEG topological organization

M. G. Puxeddu, L. Astolfi, M. Petti, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Structure of the cortical networks during successful memory encoding in TV commercials

F. Cincotti, S. Salinari, M. Marciani, 2008, Clinical Neurophysiology.