DocumentCode :
3648947
Title :
Brain connectivity measure — the direct transfer function — advantages and weak points
Author :
Z. Djordjević;A. Jovanović;A. Perović
Author_Institution :
University of Belgrade, Faculty of Mathematics, Group for intelligent systems, Serbia
fYear :
2012
Firstpage :
93
Lastpage :
97
Abstract :
In this article we briefly investigate the Directed Transfer Function, the DTF, a causality measure used in determination of brain connectivity patterns, characterizing specific brain states/activities. Introduced by Kaminski and Blinowska two decades ago, it was claimed that this measure is the proper measure for complexity involved in brain activity, correcting incapacity and essential weakness of original Granger causality measures. This measure of brain connectivity reached broad application in very exciting brain activity modeling applied numerously by many research teams. Some of DTF advantages and weak points are analyzed in this article.
Keywords :
"Brain modeling","Transfer functions","Time series analysis","Frequency domain analysis","Intelligent systems"
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2012 IEEE 10th Jubilee International Symposium on
Print_ISBN :
978-1-4673-4751-8
Type :
conf
DOI :
10.1109/SISY.2012.6339493
Filename :
6339493
Link To Document :
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