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

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zhixing Hong, Dinghan Hu, Runze Zheng, Tiejia Jiang, Feng Gao, Jiajia Fang, Jiuwen Cao
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引用次数: 0

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.

Abstract Image

儿童期良性癫痫伴中央颞叶尖峰的脑网络分析:有无间期尖峰
脑网络为癫痫的分析和诊断提供了强有力的工具。本文对儿童良性癫痫伴中央颞叶尖峰(BECTS)的脑网络进行两两比较分析:尖峰组(spike)、非尖峰组(non-spike)和对照组(control)。本研究选取13例BECTS儿童非快速眼动睡眠I期(NREMI)脑电图中有无间歇峰的片段,构建动态脑功能网络,探讨功能连通性(FC)。利用图论和统计分析研究了不同频带下不同脑区FC的变化。从本研究中我们可以得出以下结论:(1)在γ带的各个脑区,峰电位和非峰电位的能量都较低。(2)随着频带的增加,尖峰组、非尖峰组和对照组的FC强度均减弱。(3)峰值与脑网络效率和小世界特性相关。(4)除γ带外,峰值增加了颞、顶叶和枕叶区的FC,而没有峰值则减弱了整个脑区的FC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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