Noise correlations in the human brain and their impact on pattern classification
Fig 4
Background noise correlations.
(A) Noise correlations calculated from localizer runs had a similar effect on MVPA as noise correlations computed from rest runs. Classification accuracy was again better for patterns of activity over voxels with high (green) vs. low (blue) noise correlations, with a similar interaction by bin size. Columns represent means and error bars represent SEM across participants. The dashed gray line denotes permuted chance. (B) The noise correlations calculated from rest runs were similar to the noise correlations calculated from localizer runs. Each dot represents one voxel, with its two coordinates reflecting the heterogeneous noise correlation (i.e., average correlation with voxels with opposite selectivity) from rest and localizer runs, respectively, averaged across participants for purposes of visualization. ***p < 0.001, **p < 0.01.