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Removal of Interictal MEG-Derived Network Hubs Is Associated With Postoperative Seizure Freedom

Lookup NU author(s): Dr Sriharsha Ramaraju, Dr Yujiang Wang, Nishant Sinha, Dr Peter Taylor

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© Copyright © 2020 Ramaraju, Wang, Sinha, McEvoy, Miserocchi, de Tisi, Duncan, Rugg-Gunn and Taylor.Objective: To investigate whether MEG network connectivity was associated with epilepsy duration, to identify functional brain network hubs in patients with refractory focal epilepsy, and assess if their surgical removal was associated with post-operative seizure freedom. Methods: We studied 31 patients with drug refractory focal epilepsy who underwent resting state magnetoencephalography (MEG), and structural magnetic resonance imaging (MRI) as part of pre-surgical evaluation. Using the structural MRI, we generated 114 cortical regions of interest, performed surface reconstruction and MEG source localization. Representative source localized signals for each region were correlated with each other to generate a functional brain network. We repeated this procedure across three randomly chosen one-minute epochs. Network hubs were defined as those with the highest intra-hemispheric mean correlations. Post-operative MRI identified regions that were surgically removed. Results: Greater mean MEG network connectivity was associated with a longer duration of epilepsy. Patients who were seizure free after surgery had more hubs surgically removed than patients who were not seizure free (AUC = 0.76, p = 0.01) consistently across three randomly chosen time segments. Conclusion: Our results support a growing literature implicating network hub involvement in focal epilepsy, the removal of which by surgery is associated with greater chance of post-operative seizure freedom.


Publication metadata

Author(s): Ramaraju S, Wang Y, Sinha N, McEvoy AW, Miserocchi A, de Tisi J, Duncan JS, Rugg-Gunn F, Taylor PN

Publication type: Article

Publication status: Published

Journal: Frontiers in Neurology

Year: 2020

Volume: 11

Online publication date: 24/09/2020

Acceptance date: 20/08/2020

Date deposited: 14/01/2021

ISSN (electronic): 1664-2295

Publisher: Frontiers Media S.A.

URL: https://doi.org/10.3389/fneur.2020.563847

DOI: 10.3389/fneur.2020.563847


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