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Geometry‐derived statistical significance: A probabilistic framework for detecting true positive findings in MRI data

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The false discovery rate (FDR) procedure does not incorporate the geometry of the random field and requires high statistical power at each voxel, a requirement not satisfied by the limited… Click to show full abstract

The false discovery rate (FDR) procedure does not incorporate the geometry of the random field and requires high statistical power at each voxel, a requirement not satisfied by the limited number of participants in imaging studies. Topological FDR, threshold free cluster enhancement (TFCE), and probabilistic TFCE improve statistical power by incorporating local geometry. However, topological FDR requires specifying a cluster defining threshold and TFCE requires specifying transformation weights.

Keywords: statistical significance; probabilistic framework; geometry; significance probabilistic; derived statistical; geometry derived

Journal Title: Brain and Behavior
Year Published: 2023

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