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Extracting the transition network of epileptic seizure onset

Baier, G; Zhang, L; Wang, Q; Moeller, F; (2021) Extracting the transition network of epileptic seizure onset. Chaos , 31 (2) , Article 023143. 10.1063/5.0026074. Green open access

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Abstract

In presurgical monitoring, focal seizure onset is visually assessed from intracranial electroencephalogram (EEG), typically based on the selection of channels that show the strongest changes in amplitude and frequency. As epileptic seizure dynamics is increasingly considered to reflect changes in potentially distributed neural networks, it becomes important to also assess the interrelationships between channels. We propose a workflow to quantitatively extract the nodes and edges contributing to the seizure onset using an across-seizure scoring. We propose a quantification of the consistency of EEG channel contributions to seizure onset within a patient. The workflow is exemplified using recordings from patients with different degrees of seizure-onset consistency. We propose a data-driven analysis method to investigate the transitions to focal-onset seizures from invasive recordings. We employ a combination of uni- and bivariate quantification and a quality score to extract the channels and channel pairs that optimally display the transition in invasive recordings. This allows us to identify the consistency of anatomical contributions involved in seizure onset across multiple seizures of a patient. We hope our approach leads us closer to a better understanding of the complex transition dynamics in refractory epilepsy.

Type: Article
Title: Extracting the transition network of epileptic seizure onset
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1063/5.0026074
Publisher version: https://doi.org/10.1063/5.0026074
Language: English
Additional information: Copyright © 2021 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Cell and Developmental Biology
URI: https://discovery.ucl.ac.uk/id/eprint/10123591
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