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. 2019 Oct 25;41(4):855–864. doi: 10.1002/hbm.24844

Figure 3.

Figure 3

(a) The PLS model demonstrates there is an association between regional CBF and MVRFs, producing one significant latent variable (permutation‐based p = .005). MVRFs with a partial correlation above zero, based on the error bounds, contribute to the latent variable effect. (b) The color overlay (blue) on the standard brain demonstrates regions that contributed to the latent variable based on the calculated bootstrap ratio (BSR > 2; the size of the color denotes the bootstrap ratio). Given that the PLS was performed on an ROI basis, the corresponding brain locations reflect the approximate neuroanatomical coordinates. CBF, cerebral blood flow; BSR, bootstrapping ratio; PLS, partial least squares; ROI, regions of interest