A simple permutation-based test of intermodal correspondence

While many findings in neuroimaging studies pertain to multiple imaging modalities, statistical methods underlying intermodal comparisons have varied. In our recently published paper in Human Brain Mapping, we propose the Simple Permutation-based Intermodal CorrEspondence (SPICE) test--an intuitive but powerful method for testing correspondence between two imaging modalities. The SPICE test differs from prior related methods in that it requires no assumptions about the brain’s complex spatial structure and leverages subject-level data. We apply the SPICE test to structural and functional brain MRI data from the Philadelphia Neurodevelopmental Cohort (PNC) and show how our method is reliable for both global and spatially localized hypothesis testing. With the growing availability of large multimodal imaging datasets, the SPICE test provides an accessible way to draw inference from these complex data. Weinstein et al. (2021)


The Penn Statistics in Imaging and Visualization Endeavor (PennSIVE) consists of a group of statisticians studying etiology and clinical practice through medical imaging. 


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