Differences between cluster versus non-cluster members
We computed the rank-sum Wilcoxon test only in clusters with significant correlation results. Responder clusters (positive or negative) are analyzed with respect to the difference to non-responder ones. Responding clusters are confirmed by giving significant differences in this test as well (see Fig. The robustness of the correlational analysis was tested through a 1000-hold-out validation with different percentages of the data set (specifically 80%, 60% and 40%). We find a trend for the coefficients and Spectral significant responders.These results correspond to significant correlations and significant Wilcoxon tests. In parenthesis are: (1) type of response (positive or negative), (2) Wilcoxon Since previous work state that subjects who better respond to treatment correspond to those who start in worst conditionsBaseline behavioral tasks distinguished by Spectral Algorithm clustering for (