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. 2019 Nov 15;202:116175. doi: 10.1016/j.neuroimage.2019.116175

Fig. 8.

Fig. 8

A. Highest possible sensitivity to detect the phasic modulation of a continuous response variable, separately for different experimental parameters. Note that overall sensitivity (across all parameters) is not comparable with that for the dichotomous response variable (Fig. 3), as it depends on the parameters that characterise the distribution from which single-trial responses are chosen (see Materials and Methods). B,C. Sensitivities separately for the selected parametric alignment-based (B), parametric regression-based (B,C) and permutation-based methods (C) for various simulated parameters (cf. Fig. 4, Fig. 5). Note that LIN REGRESS FISHER, LIN REGRESS PERM, and CIRC-LIN CORR overlap for all parameter combinations shown in panel C. For all other conventions, see caption of Fig. 4.