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ISBI
2008
IEEE
14 years 5 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
JMLR
2011
175views more  JMLR 2011»
12 years 11 months ago
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data
This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspecti...
Alard Roebroeck, Anil K. Seth, Pedro A. Valdes-Sos...
ISBI
2008
IEEE
14 years 5 months ago
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of i...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
JMLR
2011
187views more  JMLR 2011»
12 years 11 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ICASSP
2007
IEEE
13 years 10 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown