Network efficiency of structural covariance networks relate to cognitive performance in children with childhood absence epilepsy
Merel JA Eussen1,2, Jacobus FA Jansen2,3, Twan Voncken4, Mariette HJA Debeij-van Hall5, Jos GM Hendriksen4,5, Jeroen R Vermeulen4, Sylvia Klinkenberg4, Walter H Backes2,3, and Gerhard Drenthen2,3
1Department of Biomedical Technology, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 3School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 4Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 5Department of Behavioral Sciences, Kempenhaeghe, Heeze, Netherlands
Cognitive deficits have been reported in children with childhood absence epilepsy (CAE). Regional alterations in morphology in children with CAE are likely related to the changes in the underlying network structure. Structural covariance networks (SCNs) based on interregional correlations of cortical thicknesses can describe these changes. To relate cognitive performance to network efficiency, individual SCNs are derived from anatomical MR images of the control group and one patient. The global efficiency calculated from the resulting SCNs showed a negative relation with cognitive performance for children with CAE.
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