Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …
Pointwise partial information decompositionusing the specificity and ambiguity lattices
What are the distinct ways in which a set of predictor variables can provide information about
a target variable? When does a variable provide unique information, when do variables …
a target variable? When does a variable provide unique information, when do variables …
High-order interdependencies in the aging brain
Background: Brain interdependencies can be studied from either a structural/anatomical
perspective (“structural connectivity”) or by considering statistical interdependencies …
perspective (“structural connectivity”) or by considering statistical interdependencies …
Multiscale information decomposition: Exact computation for multivariate Gaussian processes
Exploiting the theory of state space models, we derive the exact expressions of the
information transfer, as well as redundant and synergistic transfer, for coupled Gaussian …
information transfer, as well as redundant and synergistic transfer, for coupled Gaussian …
Causality detection with matrix-based transfer entropy
Transfer entropy (TE) is a powerful tool for analyzing causality between time series and
complex systems. However, it faces two key challenges. First, TE is often used to quantify the …
complex systems. However, it faces two key challenges. First, TE is often used to quantify the …
An information-theoretic quantification of the content of communication between brain regions
Quantifying the amount, content and direction of communication between brain regions is
key to understanding brain function. Traditional methods to analyze brain activity based on …
key to understanding brain function. Traditional methods to analyze brain activity based on …
Quantifying information modification in developing neural networks via partial information decomposition
Information processing performed by any system can be conceptually decomposed into the
transfer, storage and modification of information—an idea dating all the way back to the work …
transfer, storage and modification of information—an idea dating all the way back to the work …
Structure–function multi‐scale connectomics reveals a major role of the fronto‐striato‐thalamic circuit in brain aging
Physiological aging affects brain structure and function impacting morphology, connectivity,
and performance. However, whether some brain connectivity metrics might reflect the age of …
and performance. However, whether some brain connectivity metrics might reflect the age of …
Categorizing the role of respiration in cardiovascular and cerebrovascular variability interactions
A Porta, F Gelpi, V Bari, B Cairo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Respiration disturbs cardiovascular and cerebrovascular controls but its role is
not fully elucidated. Methods: Respiration can be classified as a confounder if its observation …
not fully elucidated. Methods: Respiration can be classified as a confounder if its observation …
An information-theoretic approach to hypergraph psychometrics
D Marinazzo, J Van Roozendaal, FE Rosas… - arXiv preprint arXiv …, 2022 - arxiv.org
Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …
interconnected nodes, with links between them reflecting pairwise statistical dependencies …