Functional brain network characteristics are associated with epilepsy severity in childhood absence epilepsy.

Autor:	Drenthen GS; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, Netherlands,; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands., Fasen F; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, Netherlands,; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands., Fonseca Wald ELA; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Neurology, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Sterkselseweg 65, Heeze, Netherlands., Backes WH; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands., Aldenkamp AP; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, Netherlands,; Department of Neurology, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Sterkselseweg 65, Heeze, Netherlands., Vermeulen RJ; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Neurology, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands., Debeij-van Hall M; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Sterkselseweg 65, Heeze, Netherlands., Hendriksen J; Department of Behavioral Sciences, Epilepsy Center Kempenhaeghe, Sterkselseweg 65, Heeze, Netherlands., Klinkenberg S; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Neurology, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands., Jansen JFA; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, Netherlands,; School for Mental Health and Neuroscience, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debyelaan 25, Maastricht, Netherlands. Electronic address: jacobus.jansen@mumc.nl.
Jazyk:	angličtina
Zdroj:	NeuroImage. Clinical [Neuroimage Clin] 2020; Vol. 27, pp. 102264. Date of Electronic Publication: 2020 Apr 23.
DOI:	10.1016/j.nicl.2020.102264
Abstrakt:	While cognitive impairments are not generally considered to be part of the childhood absence epilepsy (CAE) syndrome, some recent studies report cognitive, mainly attentional, deficits. Here we set out to investigate the whole brain functional network of children with CAE and controls. Furthermore, the possible relation of the functional network abnormalities with epilepsy and neurocognitive characteristics is studied. Seventeen children with childhood CAE (aged 9.2 ± 2.1 years) and 15 controls (aged 9.8 ± 1.8 years) were included. Resting state functional MRI was acquired to study the functional network. Using graph theoretical analysis, three global metrics of the functional network were investigated: the characteristic path length, the clustering coefficient, and the small-worldness. A multivariable linear regression model including age, sex, and subject motion as covariates was used to investigate group differences in the graph metrics. Subsequently, relations of the graph metrics with epilepsy and neurocognitive characteristics were assessed. Longer path lengths, weaker clustering and a lower small-world network topology were observed in children with CAE compared to controls. Moreover, longer path lengths were related to a longer duration of CAE and a higher number of absence seizure per hour. Clustering and small-worldness were not significantly related to epilepsy or neurocognitive characteristics. The organization of the functional network of children with CAE is less efficient compared to controls, and is related to disease duration. These preliminary findings suggest that CAE is associated with alterations in the functional network. Competing Interests: Declarations of interest None (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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