Paper Info
Title
GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data
Abstract
Investigation of causal interactions within brain networks using Granger causality analysis (GCA) is a key challenge in studying neural activity on the basis of functional magnetic resonance imaging (fMRI). The article describes an open-source software toolbox GMAC (Granger multivariate autoregressive connectivity) implementing multivariate spectral GCA. Available features are: fMRI data importing/exporting, network nodes definition, time series preprocessing, multivariate autoregressive modeling, spectral Granger causality indexes estimation, statistical significance assessment using surrogate data, network analysis and visualization of connectivity results. All functions have been integrated into a user-friendly graphical interface developed in the Matlab environment, easily accessible to both technical and clinical users.
Year
DOI
Venue
2012
10.1016/j.compbiomed.2012.07.003
Comp. in Bio. and Med.
Keywords
DocType
Volume
Open source toolbox,fMRI,Connectivity,Granger causality,Network analysis
Journal
42
Issue
ISSN
Citations 
10
0010-4825
3
PageRank 
References 
Authors
0.44
31
3
Name
Order
Citations
PageRank
Maria Gabriella Tana160.87
Roberta Sclocco2112.68
Anna Maria Bianchi311915.44