[HTML][HTML] 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, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Wiener–Granger causality in network physiology with applications to cardiovascular control and neuroscience

A Porta, L Faes - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …

[HTML][HTML] The new field of network physiology: building the human physiolome

PC Ivanov - Frontiers in network physiology, 2021 - frontiersin.org
The human organism comprises various physiological and organ systems, each with its own
structural organization and functional complexity, leading to complex, transient, fluctuating …

[HTML][HTML] Network physiology: how organ systems dynamically interact

RP Bartsch, KKL Liu, A Bashan, PC Ivanov - PloS one, 2015 - journals.plos.org
We systematically study how diverse physiologic systems in the human organism
dynamically interact and collectively behave to produce distinct physiologic states and …

Electrophysiological brain connectivity: theory and implementation

B He, L Astolfi, PA Valdés-Sosa… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

Focus on the emerging new fields of network physiology and network medicine

PC Ivanov, KKL Liu, RP Bartsch - New journal of physics, 2016 - iopscience.iop.org
Despite the vast progress and achievements in systems biology and integrative physiology
in the last decades, there is still a significant gap in understanding the mechanisms through …

Causal recurrent variational autoencoder for medical time series generation

H Li, S Yu, J Principe - Proceedings of the AAAI conference on artificial …, 2023 - ojs.aaai.org
We propose causal recurrent variational autoencoder (CR-VAE), a novel generative model
that is able to learn a Granger causal graph from a multivariate time series x and …

Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems

AB Barrett - Physical Review E, 2015 - APS
To fully characterize the information that two source variables carry about a third target
variable, one must decompose the total information into redundant, unique, and synergistic …

[HTML][HTML] Information decomposition of target effects from multi-source interactions: Perspectives on previous, current and future work

JT Lizier, N Bertschinger, J Jost, M Wibral - Entropy, 2018 - mdpi.com
The formulation of the Partial Information Decomposition (PID) framework by Williams and
Beer in 2010 attracted a significant amount of attention to the problem of defining redundant …

[HTML][HTML] Multi-dimensional connectivity: a conceptual and mathematical review

A Basti, H Nili, O Hauk, L Marzetti, RN Henson - NeuroImage, 2020 - Elsevier
The estimation of functional connectivity between regions of the brain, for example based on
statistical dependencies between the time series of activity in each region, has become …