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Abstract #1263

Analysis of FMRI Timecourse and Correlation in Typical Childhood Absence Seizures

Xiaoxiao Bai1, Matthew Vestal1, Rachel Berman1, Michiro Negishi2, Edward Novotny1,3, Todd Constable2, Hal Blumenfeld1,4

1Neurology, Yale University School of Medicine, New Haven, CT, USA; 2Diagnostic Radiology, Yale University School of Medicine, New Haven, CT, USA; 3Pediatrics, Yale University School of Medicine, New Haven, CT, USA; 4Neurobiology and Neurosurgery, Yale University School of Medicine, New Haven, CT, USA


Simultaneous EEG-fMRI measurements were conducted in 8 children with 40 typical childhood absence epilepsy. Three different methods were performed: 1. fMRI data were analyzed using SPM2, and the HRF onset was systematically shifted in 1s increments from -20s to +20s relative to seizure onset. 2. The SPM MRI template was segmented into 13 cortical and sub-cortical regions in each hemisphere. SPM activation or deactivation clusters in each anatomic region were used to obtain mean time-courses using MARSBAR. 3. Correlation, timing, and PCA analyses were performed on the time courses. Results demonstrate a complex sequence of changes in absence seizures, undetectable by canonical HRF modeling. Cortical and subcortical network changes happen both before and after absence seizures.

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