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Semi-automated EEG Enhancement Improves Localization of Ictal Onset Zone with EEG-Correlated fMRI

Journal Article (2019)
Author(s)

Simon Van Van Eyndhoven (Katholieke Universiteit Leuven)

B. Hunyadi (TU Delft - Signal Processing Systems)

Patrick Dupont ( Leuven Brain Institute, Katholieke Universiteit Leuven)

Wim Van Paesschen (Katholieke Universiteit Leuven, University Hospital Leuven)

S van Huffel (Katholieke Universiteit Leuven)

Research Group
Signal Processing Systems
Copyright
© 2019 Simon Van Eyndhoven, Borbala Hunyadi, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel
DOI related publication
https://doi.org/10.3389/fneur.2019.00805
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Simon Van Eyndhoven, Borbala Hunyadi, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel
Research Group
Signal Processing Systems
Volume number
10
Pages (from-to)
1-16
Reuse Rights

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Abstract

To improve the accuracy of detecting the ictal onset zone, we propose to enhance the epilepsy-related activity present in the EEG signals, before mapping their BOLD correlates through EEG-correlated fMRI analysis.