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Randomized parcellation based inference

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Figure

Fig. 1.UNCORRECTED PROOF Overview of the randomized parcellation based inference framework on an example with few parcels
Fig. 2. Complex activation shape used for simulations. This activation shape is moretions
Fig. 3. Simulated data (cubic effect). ROC curves for various analysis methods across 10 random subsamples containing 20 subjects
Fig. 4.UNCORRECTED PROOF(a)of false positives per image. The curve for cluster-size inference could not be built for Simulated data (complex activation shape)
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