Figure 3.

Signal variability: condition differences. The dominant PLS latent variable, capturing the effect of triggering on resting-state signal variability at multiple time scales (measured by MSE). a, The optimal combination of groups and conditions (contrast). Error bars represent bootstrap-estimated 95% confidence intervals. Note that, at p = 0.06, this latent variable is not statistically significant at the conventional statistical alpha threshold of 0.05. b, Bootstrap ratios: a linear combination of sources and time scales (i.e., a spatiotemporal pattern), weighted by how reliably they contribute to the latent variable. For a given source, a high-magnitude positive bootstrap ratio indicates that the source reliably expresses the contrast in a. A high-magnitude negative bootstrap ratio indicates that the source expresses the opposite contrast. c, Statistical maps showing sources that reliably express the contrast in a, as determined by bootstrapping (see Materials and Methods).