Causality analysis of fMRI data based on the directed information theory framework
Z Wang, A Alahmadi, DC Zhu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper aims to conduct fMRI-based causality analysis in brain connectivity by exploiting
the directed information (DI) theory framework. Unlike the well-known Granger causality …
the directed information (DI) theory framework. Unlike the well-known Granger causality …
[PDF][PDF] Time-frequency Granger causality with application to nonstationary brain signals
S Cekic - 2015 - access.archive-ouverte.unige.ch
This PhD thesis concerns the modelling of time-varying causal relationships between two
signals, with a focus on signals measuring neural activities. Indeed, in an experimental …
signals, with a focus on signals measuring neural activities. Indeed, in an experimental …
4 Autoregressive modeling of fMRI time series: state space approaches and the general linear model
A Galka, M Siniatchkin, U Stephani… - … Space Methods for …, 2015 - books.google.com
In this chapter we discuss predictive modeling of series time obtained by functional magnetic
resonance imaging (fMRI), representing an important case of spatiotemporal data. Following …
resonance imaging (fMRI), representing an important case of spatiotemporal data. Following …