DocumentCode :
3075716
Title :
Estimation of time-varying causal connectivity on EEG signals with the use of adaptive autoregressive parameters
Author :
Giannakakis, Giorgos A. ; Nik, Konstantina S.
Author_Institution :
National Technical University of Athens, Biomedical Simulations and Imaging Laboratory, 9 Iroon Politechniou Str, Greece
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
3512
Lastpage :
3515
Abstract :
In this paper, we address the problem of time-varying causal connectivity estimators on Electro-encephalographic (EEG) signals by means of Directed Transfer Function (DTF). The DTF method reveals causal information flows between brain areas, while direct DTF (dDTF) is able to distinguish and estimate only direct flows. Since neuro-physiological signals such as EEG and event related potentials (ERP) can be nonstationary, their temporal dynamics cannot be satisfactorily represented. Time-varying dDTF can be estimated using Kalman Filter for adaptive calculation of multivariate autoregressive coefficients. This approach can reveal transient causal relations and model time-dependent flow patterns. This approach was applied to simulated signals and the results indicated that time-varying dDTF can provide efficient estimates of connectivity patterns.
Keywords :
Autoregressive processes; Brain modeling; Delay; Electroencephalography; Enterprise resource planning; Frequency synchronization; Information analysis; Mutual information; Signal analysis; Transfer functions; Algorithms; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Models, Neurological; Multivariate Analysis; Nerve Net; Neural Pathways; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4649963
Filename :
4649963
Link To Document :
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