Here, we observed a decreasing trend for both algorithms and the Schaefer atlas, with the highest reliability in the case of the two-dimensional parameter space ( excellent ), followed by 3D ( excellent ) and 103D ( good ) [ Fig 5C ].
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Exploring dynamical whole-brain models in high-dimensional parameter spaces.
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We found that the specificity indices frequently remained within narrow ranges of values, and we did not find a clear trend that would indicate an enhancement or reduction of the specificity depending on the dimension of the model parameter space considered for the model validation [ Supplementary Figs 10,11,12,13 in S1 Appendix ].