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Abstract #0372

Network Analysis of Resting-State FMRI Reveals Increased Centrality in Regions Generating Focal Epileptiform Spikes

MAGNA25Richard Masterton1, Graeme Jackson1, 2

1Brain Research Institute, Florey Neuroscience Institutes, Melbourne, Victoria, Australia; 2The University of Melbourne, Melbourne, Victoria, Australia

A data-driven network analysis of resting-state fMRI applied to patients with benign rolandic epilepsy. Network nodes identified with high centrality provided good correspondence with the presumed epileptogenic zone in these non-lesional focal epilepsy patients.

Keywords

abstract acquisition activate activation archer arise arising association band basal bilaterally bootstrapping brain causality central centrality clinical closed coefficient concatenated concordance connected connection connections connectivity controls corrected correction correlated correlation cortex courses detected directed directionality discharges drawn driven epilepsy estimation exceeded exert eyes fail filtered five fluctuations focal freeman frequency functional functionally ganglia generating granger graph graphs greater highest identify importantly indicate inferior inferred influence institute institutes insufficient listed marked markedly markers matched matrix measure motion network networks node noise offers outward page pairs particularly pass patient patients possibility post presence procedure process properties purely random rather realignment recent recorded reduced regional related relationships replacement reported represented response resting revealed reveals sample scalp seizure seizures select series shape sided significantly simultaneous slice smoothing spatial spike spikes statistics step studies subject subjects suggest suggests syndrome temporal temporally thalamus threshold timing unit upon useful variability variance variation versus whereas whole widespread zero zone