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

Journal article (2019)

Authors

Simon Van Eyndhoven Katholieke Universiteit Leuven
Borbala Hunyadi Signal Processing Systems - EEMCS
Patrick Dupont Katholieke Universiteit Leuven, Leuven Brain Institute
Wim Van Paesschen Katholieke Universiteit Leuven, University Hospital Leuven
S van Huffel Katholieke Universiteit Leuven
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
Copyright: © 2019 Simon Van Eyndhoven, Borbala Hunyadi, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel
DOI: https://doi.org/10.3389/fneur.2019.00805
Epilepsy EEG-Fmri EEG-informed Fmri Ictal onset zone Interictal epileptic discharge Multi-channel Wiener filter Presurgical evaluation Signal enhancement
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Published Date

2019

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

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.