NDLI: Epileptic brain network from scalp EEG: Identifying the epileptic driver by connectivity analysis on brain waveforms

Content Provider	IEEE Xplore Digital Library
Author	van Mierlo, P. Montes, V. Hallez, H. Staelens, S.
Copyright Year	2011
Description	Author affiliation: Ghent University - IBBT, Medical Image and Signal Processing Group, Ghent, Belgium (van Mierlo, P.; Montes, V.; Hallez, H.) \|\| Medical Image and Signal Processing, Ghent University-IBBT, Ghent, Belgium (Staelens, S.)
Abstract	Epilepsy is a neurological disorder characterized by seizures, i.e. abnormal synchronous activity of neurons in the brain. During a focal seizure the epileptic activity spreads rapidly from the ictal onset region to neighboring brain areas. ElectroEncephaloGraphy (EEG) is a commonly used technique to diagnose epilepsy. EEG has a high temporal resolution which allows us to investigate the dynamics of the underlying brain activity. Due to the rapid propagation of a seizure, the seizure can originate from a network of brain regions which are simultaneously active before being noticeable on the EEG. In this paper we investigate two state of the art source localization techniques, the Recursive Applied and Projected (RAP) and the pre-correlated and orthogonally projected (POP) multiple signal classification (MUSIC) algorithm, to identify the location of the driver behind the simulated epileptic brain network. Furthermore we investigate the applicability of connectivity analysis to identify the source driving the underlying brain network. We showed that the POP-MUSIC algorithm outperforms the RAP-MUSIC algorithm to identify the locations of the simultaneous brain activity. Furthermore, we showed the feasibility of identifying the driver behind a brain network by POP-MUSIC algorithm followed by connectivity analysis.
Starting Page	114
Ending Page	118
File Size	393161
Page Count	5
File Format	PDF
ISBN	9781424482825
e-ISBN	9781424482818
DOI	10.1109/NFSI.2011.5936838
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Connectivity analysis Source localization Epilepsy Brain modeling Electroencephalography Multiple signal classification Driver circuits Signal to noise ratio
Content Type	Text
Resource Type	Article

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