Abstract We introduce a hybrid method for functional magnetic resonance imaging (fMRI) activation detection based on the well‐developed split–merge andCONCLUSIONS In addition to taskbased fMRI, seedbased analysis of restingstate fMRI represents an equally effective method for supplementary motor area localization in patients with brain tumors, with the best results obtained with bilateral hand motor region seeding © 18 by American Journal of Neuroradiology PMIDHigher Frequency Network Activity Flow Predicts Lower Frequency Node Activity in Intrinsic LowFrequency BOLD Fluctuations
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