Changes of Ictal-Onset Epileptic Network Synchronicity in Childhood Absence Epilepsy: A Magnetoencephalography Study
Objective: To further understand the mechanisms underlying epileptic network and the characteristics of individual specific network, we conducted a study on brain network by magnetoencephalography (MEG) focusing on patients with childhood absence epilepsy (CAE). Methods: The network connectivity of...
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Published in | Frontiers in neurology Vol. 11; p. 583267 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
12.11.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Objective:
To further understand the mechanisms underlying epileptic network and the characteristics of individual specific network, we conducted a study on brain network by magnetoencephalography (MEG) focusing on patients with childhood absence epilepsy (CAE).
Methods:
The network connectivity of 22 patients was investigated with MEG at the source level. Network connectivity of spikes and slow waves was computed with accumulated source imaging (ASI) and correlation analysis. Time–frequency analysis was used to characterize the network changes during the ictal-onset period of each patient and the potential factors.
Results:
We found that spectral power increased at around 1 s and distributed at 2–4 Hz in all patients. Ictal spikes simultaneously showed elevation of network connectivity, predominantly excitatory connections, when generalized firing activity spread to the overall brain. High-frequency oscillations (HFOs) were prone to detect overexcited neuronal firing in certain focal areas.
Conclusions:
Personal network changes during ictal onset had unique features in the time range and parallel seizure rhythm uniformly in every patient. There was an important time point for generalized discharges of the epileptic network. Ictal spiking activity played an important role in the epileptic network synchronicity of childhood absence epilepsy. Frequency oscillations provided references for locating abnormal changes in neuromagnetic signals. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Giovanni Assenza, Campus Bio-Medico University, Italy Reviewed by: Jacopo Lanzone, Policlinico Universitario Campus Bio-Medico, Italy; Umit Aydin, King's College London, United Kingdom; Francesco Motolese, Campus Bio-Medico University, Italy This article was submitted to Epilepsy, a section of the journal Frontiers in Neurology |
ISSN: | 1664-2295 1664-2295 |
DOI: | 10.3389/fneur.2020.583267 |