Cargando…
Comparison of Causality Network Estimation in the Sensor and Source Space: Simulation and Application on EEG
The usage of methods for the estimation of the true underlying connectivity among the observed variables of a system is increasing, especially in the domain of neuroscience. Granger causality and similar concepts are employed for the estimation of the brain network from electroencephalogram (EEG) da...
Autores principales: | Koutlis, Christos, Kimiskidis, Vasilios K., Kugiumtzis, Dimitris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013050/ https://www.ncbi.nlm.nih.gov/pubmed/36925583 http://dx.doi.org/10.3389/fnetp.2021.706487 |
Ejemplares similares
-
The Effect of a Hidden Source on the Estimation of Connectivity Networks from Multivariate Time Series
por: Koutlis, Christos, et al.
Publicado: (2021) -
Evaluation of Granger Causality Measures for Constructing Networks from Multivariate Time Series
por: Siggiridou, Elsa, et al.
Publicado: (2019) -
The Reconstruction of Causal Networks in Physiology
por: Günther, Moritz, et al.
Publicado: (2022) -
Time in Brain: How Biological Rhythms Impact on EEG Signals and on EEG-Derived Brain Networks
por: Lehnertz, Klaus, et al.
Publicado: (2021) -
Correlation Networks for Identifying Changes in Brain Connectivity during Epileptiform Discharges and Transcranial Magnetic Stimulation
por: Siggiridou, Elsa, et al.
Publicado: (2014)