A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography.

In particular, we implement the two-sample multivariate-runs test of Friedman and Rafsky (Ann Stat 7(4):697–717, 1979) and find it to be a powerful paradigm for distinguishing highly significant deviations from the null distribution in high-dimensional data.

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Our use of MVR and MST class-adjacency statistics, and a permutation-based method to generalize MVR to more than two classes, showed extremely significant pairwise class differences through MVR, while also observing very marked differences in class-adjacency between the three cognitive classes.

also in 7,787 other papers