Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/11738
Title: Absence epilepsy subnetworks revealed by event-related independent components analysis of functional magnetic resonance imaging.
Authors: Masterton, Richard A J;Carney, Patrick W;Abbott, David F;Jackson, Graeme D
Affiliation: Brain Research Institute, Florey Institute of Neuroscience and Mental Health, Austin Hospital, Heidelberg, Victoria, Australia.
Issue Date: 15-Apr-2013
Citation: Epilepsia 2013; 54(5): 801-8
Abstract: The aim of this study was to provide better spatiotemporal description of the brain activity observed during generalized spike-and-wave (GSW) discharges. Simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) studies of these epileptiform events have shown regional differences in the timing of fMRI signal changes, which suggests activities within multiple interacting networks rather than a single unified network.EEG-fMRI recordings from eight patients with childhood absence epilepsy (CAE) were studied using event-related independent components analysis (eICA). This technique separates the fMRI signal changes observed during GSW discharges into different spatial components, each showing different event-related timing. Unlike standard independent components analysis (ICA), which is applied to the entire fMRI time series, the eICA method is applied only to the event-related time courses at each voxel, which means that only a small number of components are generated that are all explicitly related to the event of interest.Six eICA components were identified, representing distinct GSW-related subnetworks. Activations were detected in a number of brain regions, including the striatum, which have not previously been reported in association with GSW in CAE patients.The eICA results support previous findings that the earliest activity associated with GSW may be in posterior cortical regions and provide new evidence that the thalamostriate network may play a more important role in the generation of GSW than suggested by previous studies.
Internal ID Number: 23586661
URI: http://ahro.austin.org.au/austinjspui/handle/1/11738
DOI: 10.1111/epi.12163
URL: http://www.ncbi.nlm.nih.gov/pubmed/23586661
Type: Journal Article
Subjects: Brain.blood supply.pathology.physiopathology
Brain Mapping
Child
Child, Preschool
Electroencephalography
Epilepsy, Absence.pathology.physiopathology
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Neural Pathways.blood supply.pathology
Oxygen.blood
Principal Component Analysis
Appears in Collections:Journal articles

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