Daniele Marinazzo
Orcid: 0000-0002-9803-0122
According to our database1,
Daniele Marinazzo
authored at least 78 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
2023
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.
NeuroImage, December, 2023
Task matters: Individual MEG signatures from naturalistic and neurophysiological brain states.
NeuroImage, May, 2023
brainlife.io: A decentralized and open source cloud platform to support neuroscience research.
CoRR, 2023
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.
PLoS Comput. Biol., December, 2022
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes.
IEEE Trans. Signal Process., 2022
Auditory driven gamma synchrony is associated with cortical thickness in widespread cortical areas.
NeuroImage, 2022
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance.
CoRR, 2022
Cognitive modelling with multilayer networks: Insights, advancements and future challenges.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach.
Proceedings of the Complex Networks and Their Applications XI, 2022
2021
NeuroImage, 2021
How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness.
NeuroImage, 2021
Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition.
IEEE Access, 2021
2020
NeuroImage, 2020
NeuroImage, 2020
Disambiguating the role of blood flow and global signal with partial information decomposition.
NeuroImage, 2020
The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI.
NeuroImage, 2020
NeuroImage, 2020
Entropy, 2020
Beyond pairwise network similarity: exploring Mediation and Suppression between networks.
CoRR, 2020
Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Biomed. Eng., 2019
Modulation of the spontaneous hemodynamic response function across levels of consciousness.
NeuroImage, 2019
NeuroImage, 2019
Information decomposition of multichannel EMG to map functional interactions in the distributed motor system.
NeuroImage, 2019
Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.
Entropy, 2019
2018
Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study.
NeuroImage, 2018
Do Not Disturb: Psychophysiological Correlates of Boredom, Flow and Frustration During VR Gaming.
Proceedings of the Augmented Cognition: Intelligent Technologies, 2018
Proceedings of the Complex Networks and Their Applications VII, 2018
2017
NeuroImage, 2017
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes.
Entropy, 2017
Tracking Dynamic Interactions Between Structural and Functional Connectivity: A TMS/EEG-dMRI Study.
Brain Connect., 2017
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017
2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.
IEEE Trans. Biomed. Eng., 2016
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram.
IEEE Trans. Biomed. Eng., 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.
Neural Networks, 2015
Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy.
NeuroImage, 2015
Resting-State Functional Connectivity of the Sensorimotor Network in Individuals with Nonspecific Low Back Pain and the Association with the Sit-to-Stand-to-Sit Task.
Brain Connect., 2015
Functional Connectivity Density and Balance in Young Patients with Traumatic Axonal Injury.
Brain Connect., 2015
Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Investigating dynamical information transfer in the brain following a TMS pulse: Insights from structural architecture.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Computing in Cardiology, 2015
2014
Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer.
IEEE Trans. Biomed. Eng., 2014
Editorial for the research topic: information-based methods for neuroimaging: analyzing structure, function and dynamics.
Frontiers Neuroinformatics, 2014
CoRR, 2014
Information dynamics in cardiorespiratory analyses: Application to controlled breathing.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.
Medical Image Anal., 2013
Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality.
Brain Connect., 2013
Effective connectivity and cortical information flow under visual stimulation in migraine with aura.
Proceedings of the 5th IEEE International Workshop on Advances in Sensors and Interfaces, 2013
Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.
Proceedings of the Computing in Cardiology, 2013
Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability.
Proceedings of the Computing in Cardiology, 2013
2012
J. Comput. Neurosci., 2012
CoRR, 2012
Comput. Math. Methods Medicine, 2012
Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Multiscale Causal Connectivity Analysis by Canonical Correlation: Theory and Application to Epileptic Brain.
IEEE Trans. Biomed. Eng., 2011
Small-world directed networks in the human brain: Multivariate Granger causality analysis of resting-state fMRI.
NeuroImage, 2011
2009
IEEE Trans. Medical Imaging, 2009
2008
Pattern Recognit. Lett., 2008
2007
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.
Neural Comput., 2007
Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series.
Artif. Intell. Medicine, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006