Title :
On the Detection of Direct Directed Information Flow in fMRI
Author :
Mader, Wolfgang ; Feess, David ; Lange, Rüdiger ; Saur, Dorothee ; Glauche, Volkmar ; Weiller, Cornelius ; Timmer, Jens ; Schelter, Björn
Author_Institution :
Freiburg Center for Data Anal. & Modeling, Univ. of Freiburg, Freiburg, Germany
Abstract :
To infer interactions from functional magnetic resonance imaging (fMRI) data, structural equation modeling (SEM) as well as dynamic causal modeling (DCM) has been suggested. Directed partial correlation (dPC) is a measure which detects Granger causality in multivariate systems. To demonstrate the strengths as well as the limitations of directed partial correlation we first applied it to simulated data tailored to the problem at hand. Second, after dPC has proven to be useful for fMRI data analysis, we applied it to actual fMRI data.
Keywords :
biomedical MRI; brain; correlation methods; data analysis; medical image processing; medical signal detection; statistical analysis; DCM; Granger causality; SEM; brain network structure; direct directed information flow detection; directed partial correlation; dynamic causal modeling; fMRI data analysis; functional magnetic resonance imaging; multivariate systems; structural equation modeling; Bayesian methods; Biomedical imaging; Brain modeling; Data analysis; Electroencephalography; Magnetoencephalography; Nervous system; Physics; Signal analysis; Spatial resolution; Directed partial correlation; Granger causality; VAR-processes; fMRI; instantaneous interactions;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2008.2008260
