The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep
The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep
复制标题
小儿癫痫和同时发生的神经发育障碍对清醒和睡眠状态下功能性大脑网络的影响
DOI：
10.1101/2023.03.15.530959
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Junges L
中科院分区：
文献类型：
--
作者：
Junges L
癫痫是儿童最常见的神经系统疾病之一。儿童癫痫的诊断可能非常具有挑战性，特别是因为它经常与自闭症和ADHD等神经发育疾病共存。从清醒和睡眠的神经成像和电生理数据中获得的功能大脑网络已被证明包含神经疾病的特征，并可能支持诊断和管理共存的神经发育疾病。在这项工作中，我们使用来自儿童的脑电(EEG)记录，在安静清醒和睡眠中，提取不同频段的功能连接网络。我们探索了这些网络与癫痫诊断和神经发育特征的测量之间的关系，这些测量来自作为自闭症和ADHD筛查工具的问卷调查。我们探索了癫痫儿童和非癫痫儿童在觉醒和睡眠中网络标记的差异，并量化了这些标记与神经发育特征测量之间的相关性。我们的发现强调了在探索癫痫的网络标记物时，考虑癫痫和神经发育特征之间相互作用的重要性。
Epilepsy is one of the most common neurological disorders in children. Diagnosing epilepsy in children can be very challenging, especially as it often coexists with neurodevelopmental conditions like autism and ADHD. Functional brain networks obtained from neuroimaging and electrophysiological data in wakefulness and sleep have been shown to contain signatures of neurological disorders, and can potentially support the diagnosis and management of co-occurring neurodevelopmental conditions. In this work, we use electroencephalography (EEG) recordings from children, in restful wakefulness and sleep, to extract functional connectivity networks in different frequency bands. We explore the relationship of these networks with epilepsy diagnosis and with measures of neurodevelopmental traits, obtained from questionnaires used as screening tools for autism and ADHD. We explore differences in network markers between children with and without epilepsy in wake and sleep, and quantify the correlation between such markers and measures of neurodevelopmental traits. Our findings highlight the importance of considering the interplay between epilepsy and neurodevelopmental traits when exploring network markers of epilepsy.
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