TY - JOUR
T1 - The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep
AU - Junges, Leandro
AU - Galvis, Daniel
AU - Winsor, Alice
AU - Treadwell, Grace
AU - Richards, Caroline
AU - Seri, Stefano
AU - Johnson, Samuel
AU - Terry, John R.
AU - Bagshaw, Andrew P.
N1 - 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.
PY - 2024/8/26
Y1 - 2024/8/26
N2 - 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.
AB - 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.
UR - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309243
UR - http://www.scopus.com/inward/record.url?scp=85202522888&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0309243
DO - 10.1371/journal.pone.0309243
M3 - Article
SN - 1932-6203
VL - 19
JO - PLoS ONE
JF - PLoS ONE
IS - 8
M1 - e0309243
ER -