Projects per year
Abstract
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.
Original language | English |
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Article number | e0309243 |
Number of pages | 14 |
Journal | PLOS One |
Volume | 19 |
Issue number | 8 |
DOIs | |
Publication status | Published - 26 Aug 2024 |
Bibliographical note
Publisher Copyright:© 2024 Junges et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
ASJC Scopus subject areas
- General
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Seizures and the Brain: The Role of Perturbed Dynamic Networks
Engineering & Physical Science Research Council
1/08/21 → 31/07/27
Project: Research Councils
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The Impact of Sleep Disruption in Children with Rolandic Epilepsy
1/10/18 → 30/09/21
Project: Research