基于图的癫痫脑网络分析:一项脑电图研究

Yuejing Hu, Qizhong Zhang, Rihui Li, Thomas Potter, Yingchun Zhang
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引用次数: 3

摘要

为了探讨癫痫患儿在发作间期和发作初期脑网络的变化,本研究采用部分定向相干性(PDC)作为因果关系的衡量标准,对10例局灶性癫痫患儿的22组脑电图(EEG)数据进行了分析。基于计算得到的PDC值,构建发作间期和发作期的脑功能网络,并从中提取两个基于图的测度,包括程度和聚类系数,来评估发作联结网络的功能连通性。结果表明,与间歇期相比,间歇期三角洲带中心叶的区域程度明显降低。与此相反,峰期delta波段的聚类系数在额叶、顶叶和颞叶均显著升高。因此,我们的研究结果表明,癫痫儿童的精神状态可能影响视觉、身体、精神、听觉等功能,为探索癫痫儿童的大脑网络改变提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph-based Brain Network Analysis in Epilepsy: an EEG Study
In order to investigate the alterations of brain network in children with epilepsy during the interictal and ictal periods, partial directed coherence (PDC) was employed as a measure of causality to analyze 22 electroencephalography (EEG) datasets recorded from 10 focal seizure children in this study. Functional brain network during interictal and ictal periods were constructed based on the computed PDC values, from which two graph-based measures, including the degree and clustering coefficient were extracted to assess the functional connectivity in seizure-linked network. Results showed that, compared to interictal period, the regional degree at the center lobe in delta band during the ictal period was significantly reduced. On the contrary, the clustering coefficients in delta band during the ictal period were significantly increased in the frontal, parietal, and temporal lobes. Our findings therefore suggest that ictal state may affect the visual, physical, mental, auditory, and other functions in epileptic children, providing a new perspective to explore the brain network alterations in children with epilepsy.
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