Brain network analysis of benign childhood epilepsy with centrotemporal spikes: With versus without interictal spikes

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Computation and Systems Pub Date : 2024-11-06 DOI:10.1049/ccs2.12115
Zhixing Hong, Dinghan Hu, Runze Zheng, Tiejia Jiang, Feng Gao, Jiajia Fang, Jiuwen Cao
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Abstract

Brain networks provided powerful tools for the analysis and diagnosis of epilepsy. This paper performed a pairwise comparative analysis on the brain networks of Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS): spike group (spike), non-spike group (non-spike), and control group (control). In this study, fragments with and without interictal spikes in electroencephalograms of 13 BECTS children during non-rapid eye movement sleep stage I (NREMI) were selected to construct dynamic brain function networks to explore the functional connectivity (FC). Graph theory and statistical analysis were exploited to investigate changes in FC across different brain regions in different frequency bands. From this study, we can draw the following conclusions: (1) Both spike and non-spike have lower energy in each brain region on the γ band. (2) With the increase of the frequency band, the FC strength of spike, non-spike and control groups are all weakened. (3) Spikes are correlated with brain network efficiency and the small-world property. (4) Spikes increase the FC of temporal, parietal and occipital regions except in the γ band and the absence of spikes weakens the FC of the entire brain region.

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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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