Antiseizure Medications Normalize Electroencephalographic Functional Connectivity and Power in Children With Benign Epilepsy With Centrotemporal Spikes - 12/06/24
Abstract |
Background |
The decision to treat children with benign epilepsy with centrotemporal spikes (BECTS) using antiseizure medications (ASM) is controversial. Our goal is to compare the effect of ASM treatment on the alteration of electroencephalographic (EEG) functional connectivity and power across four frequency bands in children with BECTS.
Methods |
Children with BECTS with two-year follow-up were retrospectively divided into ASM versus non-ASM groups. The network properties of the EEGs as based on network-based statistic and graph theory were evaluated by the following indices: global efficiency, clustering coefficient, betweenness centrality, and nodal strength in four frequency bands (delta, theta, alpha, and beta). EEG power including absolute power (AP) and relative power (RP) was analyzed in four frequency bands.
Results |
In children with BECTS with ASM treatment, there was no significant change in EEG connectivity across all bands before and after two years of ASM. In children with BECTS without ASM treatment, there was a significant increase of global efficiency, clustering coefficient, and nodal strength but not the betweenness centrality in the delta band after two years of follow-up. A decrease in AP in the delta and theta bands and a decrease in RP in the theta band were found in the ASM group after two years of treatment.
Conclusions |
Our results suggest that ASM may play a role in modulating the development of increasing overall brain connectivity and in downregulating overt synaptic activity, but not intrinsic focal connectivity, in the early years of BECTS. The changes in the EEG power indicate that ASM significantly normalized slow-wave band power.
Le texte complet de cet article est disponible en PDF.Keywords : Benign epilepsy with centrotemporal spikes, Antiseizure medication, Graph theory, EEG functional connectivity, Power analysis, Children
Plan
| Funding: This work was financially supported in part by Taipei Medical University Hospital, grant number 112TMU-TMUH-13, and the Ministry of Science and Technology, Taiwan, under the project NSTC 112-2628-E-038-001-MY3, in part by the Higher Education Sprout Project by the Ministry of Education (MOE), Taiwan. We thank the National Center for High-performance Computing (NCHC) of National Applied Research Laboratories (NARLabs) in Taiwan for providing computational and storage resources. |
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| Institutional Review Board statement: This retrospective study was approved by the Institutional Review Board (IRB) of TMUH (TMUH-JIRB-N202102068). |
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| Informed consent statement: The IRB (TMUH-JIRB-N202102068) approved this research with waiver of individual consent due to the retrospective nature of this study. |
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| Data availability statement: Not applicable. |
Vol 156
P. 41-50 - juillet 2024 Retour au numéro
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