Laiou, Petroula;
Biondi, Andrea;
Bruno, Elisa;
Viana, Pedro F;
Winston, Joel S;
Rashid, Zulqarnain;
Ranjan, Yatharth;
... Richardson, Mark P; + view all
(2022)
Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence.
Biomedicines
, 10
(10)
, Article 2662. 10.3390/biomedicines10102662.
Preview |
PDF
Dobson_Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence_VoR.pdf - Published Version Download (3MB) | Preview |
Abstract
Epilepsy is one of the most common neurological disorders, characterized by the occurrence of repeated seizures. Given that epilepsy is considered a network disorder, tools derived from network neuroscience may confer the valuable ability to quantify the properties of epileptic brain networks. In this study, we use well-established brain network metrics (i.e., mean strength, variance of strength, eigenvector centrality, betweenness centrality) to characterize the temporal evolution of epileptic functional networks over several days prior to seizure occurrence. We infer the networks using long-term electroencephalographic recordings from 12 people with epilepsy. We found that brain network metrics are variable across days and show a circadian periodicity. In addition, we found that in 9 out of 12 patients the distribution of the variance of strength in the day (or even two last days) prior to seizure occurrence is significantly different compared to the corresponding distributions on all previous days. Our results suggest that brain network metrics computed fromelectroencephalographic recordings could potentially be used to characterize brain network changes that occur prior to seizures, and ultimately contribute to seizure warning systems.
Type: | Article |
---|---|
Title: | Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence |
Location: | Switzerland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/biomedicines10102662 |
Publisher version: | https://doi.org/10.3390/biomedicines10102662 |
Language: | English |
Additional information: | © 2022 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | epilepsy; functional network; evolving network; graph theory; EEG; ECG; seizure lateralization |
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 Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10160331 |
Archive Staff Only
View Item |