Absence epilepsy subnetworks revealed by event-related independent components analysis of functional magnetic resonance imaging.

PURPOSE: 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.
METHODS: 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. KEY
FINDINGS: 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. SIGNIFICANCE: 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. Wiley Periodicals, Inc.