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EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy

Willeke Staljanssens UGent, Gregor Strobbe, Roel Van Holen UGent, Vincent Keereman, Stefanie Gadeyne UGent, Evelien Carrette UGent, Alfred Meurs UGent, Francesca Pittau, Shahan Momjian, Margitta Seeck, et al. (2017) Basic and Clinical Multimodal Imaging, International conference, Abstracts.
abstract
Visual inspection of the EEG to determine the seizure onset zone (SOZ) in the context of the presurgical evaluation in epilepsy is time-consuming and often challenging or impossible. We offer an approach that uses EEG source imaging (ESI) in combination with functional connectivity analysis (FC) to localize the SOZ from ictal EEG. Ictal low-density-scalp EEG from 111 seizures in 27 patients who were rendered-seizure free after surgery was analyzed. For every seizure, ESI (LORETA) was applied on an artifact-free epoch selected around the seizure onset. Additionally, FC was applied on the reconstructed sources. We estimated the SOZ in two ways: (i)the source with highest power after ESI and (ii)the source with the most outgoing connections after ESI and FC. For both approaches, the distance between the estimated SOZ and the resected zone (RZ) of the patient were calculated. Using ESI alone, the SOZ was estimated inside the RZ in 31% of the seizures and within 10mm from the border of the RZ in 42%. For 18.5% of the patients, all seizures were estimated within 10mm of the RZ. Using ESI and FC, 72% of the seizures were estimated inside the RZ, and 94% within 10mm. For 85% of the patients, all seizures were estimated within 10mm of the RZ. FC provided a significant added value to ESI alone (p<0.001). ESI combined with subsequent FC is able to localize the SOZ in a non-invasive way with high accuracy. Therefore it could be a valuable tool in the presurgical evaluation of epilepsy.
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author
organization
year
type
conference (meetingAbstract)
publication status
published
subject
keyword
ictal imaging, EEG source imaging, functional connectivity, clinical EEG, Granger causality
in
Basic and Clinical Multimodal Imaging, International conference, Abstracts
conference name
International conference on Basic and Clinical Multimodal Imaging (BaCi)
conference location
Bern, Switzerland
conference start
2017-08-29
conference end
2017-09-02
language
English
UGent publication?
yes
classification
C3
copyright statement
I don't know the status of the copyright for this publication
id
8527997
handle
http://hdl.handle.net/1854/LU-8527997
date created
2017-08-02 09:04:11
date last changed
2018-02-14 09:29:30
@inproceedings{8527997,
  abstract     = {Visual inspection of the EEG to determine the seizure onset zone (SOZ) in the context of the presurgical evaluation in epilepsy is time-consuming and often challenging or impossible. We offer an approach that uses EEG source imaging (ESI) in combination with functional connectivity analysis (FC) to localize the SOZ from ictal EEG.
Ictal low-density-scalp EEG from 111 seizures in 27 patients who were rendered-seizure free after surgery was analyzed. For every seizure, ESI (LORETA) was applied on an artifact-free epoch selected around the seizure onset. Additionally, FC was applied on the reconstructed sources. We estimated the SOZ in two ways: (i)the source with highest power after ESI and (ii)the source with the most outgoing connections after ESI and FC. For both approaches, the distance between the estimated SOZ and the resected zone (RZ) of the patient were calculated. 
Using ESI alone, the SOZ was estimated inside the RZ in 31\% of the seizures and within 10mm from the border of the RZ in 42\%. For 18.5\% of the patients, all seizures were estimated within 10mm of the RZ. Using ESI and FC, 72\% of the seizures were estimated inside the RZ, and 94\% within 10mm. For 85\% of the patients, all seizures were estimated within 10mm of the RZ. FC provided a significant added value to ESI alone (p{\textlangle}0.001).
ESI combined with subsequent FC is able to localize the SOZ in a non-invasive way with high accuracy. Therefore it could be a valuable tool in the presurgical evaluation of epilepsy.},
  author       = {Staljanssens, Willeke and Strobbe, Gregor and Van Holen, Roel and Keereman, Vincent and Gadeyne, Stefanie and Carrette, Evelien and Meurs, Alfred and Pittau, Francesca and Momjian, Shahan and Seeck, Margitta and Boon, Paul and Vandenberghe, Stefaan and Vulli{\'e}moz, Serge and Vonck, Kristl and van Mierlo, Pieter},
  booktitle    = {Basic and Clinical Multimodal Imaging, International conference, Abstracts},
  keyword      = {ictal imaging,EEG source imaging,functional connectivity,clinical EEG,Granger causality},
  language     = {eng},
  location     = {Bern, Switzerland},
  title        = {EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy},
  year         = {2017},
}

Chicago
Staljanssens, Willeke, Gregor Strobbe, Roel Van Holen, Vincent Keereman, Stefanie Gadeyne, Evelien Carrette, Alfred Meurs, et al. 2017. “EEG Source Connectivity to Localize the Seizure Onset Zone in Patients with Drug Resistant Epilepsy.” In Basic and Clinical Multimodal Imaging, International Conference, Abstracts.
APA
Staljanssens, W., Strobbe, G., Van Holen, R., Keereman, V., Gadeyne, S., Carrette, E., Meurs, A., et al. (2017). EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy. Basic and Clinical Multimodal Imaging, International conference, Abstracts. Presented at the International conference on Basic and Clinical Multimodal Imaging (BaCi).
Vancouver
1.
Staljanssens W, Strobbe G, Van Holen R, Keereman V, Gadeyne S, Carrette E, et al. EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy. Basic and Clinical Multimodal Imaging, International conference, Abstracts. 2017.
MLA
Staljanssens, Willeke, Gregor Strobbe, Roel Van Holen, et al. “EEG Source Connectivity to Localize the Seizure Onset Zone in Patients with Drug Resistant Epilepsy.” Basic and Clinical Multimodal Imaging, International Conference, Abstracts. 2017. Print.