Literature DB >> 27291877

Brain areas with epileptic high frequency oscillations are functionally isolated in MEG virtual electrode networks.

Ida A Nissen1, Nicole E C van Klink2, Maeike Zijlmans3, Cornelis J Stam4, Arjan Hillebrand5.   

Abstract

OBJECTIVE: Previous studies have associated network hubs and epileptiform activity, such as spikes and high frequency oscillations (HFOs), with the epileptogenic zone. The epileptogenic zone is approximated by the area that generates interictal epileptiform activity: the irritative zone. Our aim was to determine the relation between network hubs and the irritative zone.
METHODS: Interictal resting-state MEG recordings of 12 patients with refractory epilepsy were analysed. Beamformer-based virtual electrodes were calculated at 70 locations around the epileptic spikes (irritative zone) and in the contralateral hemisphere. Spikes and HFOs were marked in all virtual electrodes. A minimum spanning tree network was generated based on functional connectivity (phase lag index; PLI) between all virtual electrodes to calculate the betweenness centrality, an indicator of hub status of network nodes.
RESULTS: Betweenness centrality was low, and PLI was high, in virtual electrodes close to the centre of the irritative zone, and in virtual electrodes with many spikes and HFOs.
CONCLUSION: Node centrality increases with distance from brain areas with spikes and HFOs, consistent with the idea that the irritative zone is a functionally isolated part of the epileptic network during the interictal state. SIGNIFICANCE: A new hypothesis about a pathological hub located remotely from the irritative zone and seizure onset zone opens new ways for surgery when epileptogenic areas and eloquent cortex coincide.
Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Beamformer virtual electrodes; Betweenness centrality; Epileptogenic zone; High frequency oscillations; Irritative zone; MEG; Network hub

Mesh:

Year:  2016        PMID: 27291877     DOI: 10.1016/j.clinph.2016.04.013

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  9 in total

1.  Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Authors:  Jayabal Velmurugan; Srikantan S Nagarajan; Narayanan Mariyappa; Ravindranadh C Mundlamuri; Kenchaiah Raghavendra; Rose Dawn Bharath; Jitender Saini; Arimappamagan Arivazhagan; Jamuna Rajeswaran; Anita Mahadevan; Bhaskara Rao Malla; Parthasarathy Satishchandra; Sanjib Sinha
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

Review 2.  Localizing the Epileptogenic Zone with Novel Biomarkers.

Authors:  Christos Papadelis; M Scott Perry
Journal:  Semin Pediatr Neurol       Date:  2021-08-20       Impact factor: 3.042

3.  High frequency oscillations and high frequency functional network characteristics in the intraoperative electrocorticogram in epilepsy.

Authors:  W J E M Zweiphenning; M A van 't Klooster; E van Diessen; N E C van Klink; G J M Huiskamp; T A Gebbink; F S S Leijten; P H Gosselaar; W M Otte; C J Stam; K P J Braun; G J M Zijlmans
Journal:  Neuroimage Clin       Date:  2016-11-04       Impact factor: 4.881

Review 4.  Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy.

Authors:  Eleonora Tamilia; Joseph R Madsen; Patricia Ellen Grant; Phillip L Pearl; Christos Papadelis
Journal:  Front Neurol       Date:  2017-01-30       Impact factor: 4.003

5.  Localization of the Epileptogenic Zone Using Interictal MEG and Machine Learning in a Large Cohort of Drug-Resistant Epilepsy Patients.

Authors:  Ida A Nissen; Cornelis J Stam; Elisabeth C W van Straaten; Viktor Wottschel; Jaap C Reijneveld; Johannes C Baayen; Philip C de Witt Hamer; Sander Idema; Demetrios N Velis; Arjan Hillebrand
Journal:  Front Neurol       Date:  2018-08-07       Impact factor: 4.003

6.  Virtual localization of the seizure onset zone: Using non-invasive MEG virtual electrodes at stereo-EEG electrode locations in refractory epilepsy patients.

Authors:  Erika L Juárez-Martinez; Ida A Nissen; Sander Idema; Demetrios N Velis; Arjan Hillebrand; Cornelis J Stam; Elisabeth C W van Straaten
Journal:  Neuroimage Clin       Date:  2018-06-02       Impact factor: 4.881

7.  Connectivity strength, time lag structure and the epilepsy network in resting-state fMRI.

Authors:  S Kathleen Bandt; Pierre Besson; Ben Ridley; Francesca Pizzo; Romain Carron; Jean Regis; Fabrice Bartolomei; Jean Philippe Ranjeva; Maxime Guye
Journal:  Neuroimage Clin       Date:  2019-10-23       Impact factor: 4.881

Review 8.  Presurgical Evaluation of Epilepsy Using Resting-State MEG Functional Connectivity.

Authors:  Na Xu; Wei Shan; Jing Qi; Jianping Wu; Qun Wang
Journal:  Front Hum Neurosci       Date:  2021-07-02       Impact factor: 3.169

9.  Optimization of epilepsy surgery through virtual resections on individual structural brain networks.

Authors:  Ida A Nissen; Ana P Millán; Cornelis J Stam; Elisabeth C W van Straaten; Linda Douw; Petra J W Pouwels; Sander Idema; Johannes C Baayen; Demetrios Velis; Piet Van Mieghem; Arjan Hillebrand
Journal:  Sci Rep       Date:  2021-09-24       Impact factor: 4.379

  9 in total

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