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The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep.

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Title: The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep.
Authors: Junges, Leandro, Galvis, Daniel, Winsor, Alice, Treadwell, Grace, Richards, Caroline, Seri, Stefano, Johnson, Samuel, Terry, John R., Bagshaw, Andrew P.
Source: PLoS ONE; 8/26/2024, Vol. 19 Issue 8, p1-14, 14p
Subject Terms: CHILDREN with epilepsy, CHILDHOOD epilepsy, LARGE-scale brain networks, NEUROLOGICAL disorders, DIAGNOSIS of epilepsy, WAKEFULNESS
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. [ABSTRACT FROM AUTHOR]
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  Data: The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep.
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  Data: <searchLink fieldCode="AR" term="%22Junges%2C+Leandro%22">Junges, Leandro</searchLink><br /><searchLink fieldCode="AR" term="%22Galvis%2C+Daniel%22">Galvis, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Winsor%2C+Alice%22">Winsor, Alice</searchLink><br /><searchLink fieldCode="AR" term="%22Treadwell%2C+Grace%22">Treadwell, Grace</searchLink><br /><searchLink fieldCode="AR" term="%22Richards%2C+Caroline%22">Richards, Caroline</searchLink><br /><searchLink fieldCode="AR" term="%22Seri%2C+Stefano%22">Seri, Stefano</searchLink><br /><searchLink fieldCode="AR" term="%22Johnson%2C+Samuel%22">Johnson, Samuel</searchLink><br /><searchLink fieldCode="AR" term="%22Terry%2C+John+R%2E%22">Terry, John R.</searchLink><br /><searchLink fieldCode="AR" term="%22Bagshaw%2C+Andrew+P%2E%22">Bagshaw, Andrew P.</searchLink>
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  Data: PLoS ONE; 8/26/2024, Vol. 19 Issue 8, p1-14, 14p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22CHILDREN+with+epilepsy%22">CHILDREN with epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22CHILDHOOD+epilepsy%22">CHILDHOOD epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22LARGE-scale+brain+networks%22">LARGE-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22NEUROLOGICAL+disorders%22">NEUROLOGICAL disorders</searchLink><br /><searchLink fieldCode="DE" term="%22DIAGNOSIS+of+epilepsy%22">DIAGNOSIS of epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22WAKEFULNESS%22">WAKEFULNESS</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 8/26/2024
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