SUMMARYPurpose: 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. KEY WORDS: Event-related independent components analysis, Hemodynamic response, Generalized spike and wave, Thalamus, Striatum.Simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) studies of childhood absence epilepsy (CAE) have shown that the characteristic generalized spike-and-wave (GSW) discharges are associated with "activations" and "deactivations" within a network of cortical and subcortical brain regions (Labate et al., 2005;Moeller et al., 2008a;Bai et al., 2010;Carney et al., 2010). The event-related fMRI signal changes within these regions, however, show marked differences to a standard evoked fMRI response (Moeller et al., 2008b;Bai et al., 2010;Carney et al., 2010); the underlying brain activity is therefore not easily classified in terms of activation or deactivation (Carney et al., 2012). Furthermore, there are significant differences between the timing of GSW-related fMRI signal changes in different regions (Moeller et al., 2008b;Bai et al., 2010;Carney et al., 2010), which suggests activities within multiple interacting networks rather than a single unified network.These findings of complex GSW-related brain responses suggest that standard fMRI analyses-based on a "canonical" model of the hemodynamic response function (HRF)-are unsuitable for studying these events. An alternative approach, as used in some previous studies (Moeller et al., 2008b;Bai...