Seizure onset zone localization from many invasive EEG channels using directed functional connectivity

Pieter Van Mierlo; Ana Coito; Serge Vulliémoz; Octavian Lie

doi:10.1109/EUSIPCO.2016.7760249

Seizure onset zone localization from many invasive EEG channels using directed functional connectivity

Pieter Van Mierlo, Ana Coito, Serge Vulliémoz, Octavian Lie

Neurology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this study we investigated how directed functional connectivity can be used to localize the seizure onset zone (SOZ) from ictal intracranial EEG (iEEG) recordings. First, simulations were conducted to investigate the performance of two directed functional connectivity measures, the Adaptive Directed Transfer Function (ADTF) and the Adaptive Partial Directed Coherence (APDC), in combinations with two graph measures, the out-degree and the shortest path, to localize the SOZ. Afterwards the method was applied to the seizure of an epileptic patient, recorded with 113-channel iEEG and localization was compared with the subsequent resection that rendered the patient seizure free. We found both in simulations and in the patient data that the ADTF combined with the out-degree and shortest path resulted in correct SOZ localization. We can conclude that ADTF combined with out-degree or shortest path are most optimal to localize the SOZ from a high number of iEEG channels.

Original language	English (US)
Title of host publication	2016 24th European Signal Processing Conference, EUSIPCO 2016
Publisher	European Signal Processing Conference, EUSIPCO
Pages	255-259
Number of pages	5
Volume	2016-November
ISBN (Electronic)	9780992862657
DOIs	https://doi.org/10.1109/EUSIPCO.2016.7760249
State	Published - Nov 28 2016
Event	24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary Duration: Aug 28 2016 → Sep 2 2016

Other

Other	24th European Signal Processing Conference, EUSIPCO 2016
Country	Hungary
City	Budapest
Period	8/28/16 → 9/2/16

Keywords

Directed functional connectivity
Epilepsy
Intracranial EEG
Seizure onset zone localization

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/EUSIPCO.2016.7760249

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Seizure onset zone localization from many invasive EEG channels using directed functional connectivity. / Van Mierlo, Pieter; Coito, Ana; Vulliémoz, Serge; Lie, Octavian.

2016 24th European Signal Processing Conference, EUSIPCO 2016. Vol. 2016-November European Signal Processing Conference, EUSIPCO, 2016. p. 255-259 7760249.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Van Mierlo, P, Coito, A, Vulliémoz, S & Lie, O 2016, Seizure onset zone localization from many invasive EEG channels using directed functional connectivity. in 2016 24th European Signal Processing Conference, EUSIPCO 2016. vol. 2016-November, 7760249, European Signal Processing Conference, EUSIPCO, pp. 255-259, 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, 8/28/16. https://doi.org/10.1109/EUSIPCO.2016.7760249

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abstract = "In this study we investigated how directed functional connectivity can be used to localize the seizure onset zone (SOZ) from ictal intracranial EEG (iEEG) recordings. First, simulations were conducted to investigate the performance of two directed functional connectivity measures, the Adaptive Directed Transfer Function (ADTF) and the Adaptive Partial Directed Coherence (APDC), in combinations with two graph measures, the out-degree and the shortest path, to localize the SOZ. Afterwards the method was applied to the seizure of an epileptic patient, recorded with 113-channel iEEG and localization was compared with the subsequent resection that rendered the patient seizure free. We found both in simulations and in the patient data that the ADTF combined with the out-degree and shortest path resulted in correct SOZ localization. We can conclude that ADTF combined with out-degree or shortest path are most optimal to localize the SOZ from a high number of iEEG channels.",

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