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  • (3) Conversely, other subjects’ data in the common model space can be mapped into any subject’s individual anatomical space using the transpose of that subject’s whole cortex transformation matrix, RiAT, producing a data matrix, Mi, in which the columns are that subject’s cortical loci, making it possible to analyze and visualize transformed group data in any subject’s anatomical space: Mi=MRiAT(4) In our implementations of hyperalignment, we have used a variant of Generalized Procrustes Analysis [46,47](described in detail below) to derive orthogonal transformation matrices for the improper rotations of a brain data matrix from a cortical field (region of interest or searchlight) to the mean of others’ matrices for the same region to minimize interindividual differences between the transformed individual and mean data matrices.
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