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Epileptogenic zone localization based on partial directed coherence and graph analysis: a case study

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Abstract

The localization of the epileptogenic zone (EZ) is crucial for the successful surgical treatment of epileptic patients who suffer from drug-resistant epilepsy. In this paper, we propose a new approach for EZ localization. The partial directed coherence approach and the outstrength parameter derived from graph theory are used to characterize the synchronization and desynchronization properties of brain structures and to categorize the corresponding channels into three groups referred to as the onset group, early propagation group and late propagation group according to their involvement in the seizure progress. Our results prove the effectiveness of the proposed approach, which corroborates the clinician’s visual inspection and makes it possible to identify a set of channels that delimit the epileptogenic zone. The proposed approach for EZ localization can be considered a valuable tool for the successful surgical treatment of epileptic patients that suffer from the type of epilepsy considered.

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The data used to support the findings of this study are restricted by the CHU (Centre Hospitalier Universitaire), Rennes, France in order to protect patient privacy.

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Acknowledgements

The authors wish to thank Isabelle Merlet, Researcher at Inserm, for her very fruitful discussions. The research reported in this paper was developed as a part of a PHC (Partenariat Hubert Curien) Project CREDIADIC n°41711PK, CMCU Code 19G1411.

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Correspondence to Chahira Mahjoub.

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The authors declare that there is no conflict of interest regarding the publication of this paper.

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All experimental procedures have been conducted at the CHU (Centre Hospitalier Universitaire), Rennes, France, following the ethical and regulatory standards. The patient has signed a consent and has been informed that his iEEG data would be used for clinical research and might serve for publication.

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Mahjoub, C., Chaibi, S., Nica, A. et al. Epileptogenic zone localization based on partial directed coherence and graph analysis: a case study. SIViP 17, 955–963 (2023). https://doi.org/10.1007/s11760-022-02299-9

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