Corrigendum: High-resolution imaging reveals highly selective nonface clusters in the fusiform face area

Baker et al.1 have drawn to our attention flaws in our analysis of voxel selectivity arising because noise can generate similar results and because this analysis excluded voxels whose amplitudes were negatively correlated across runs, which the Methods failed to state. In addition, Simmons et al.2 note that our selectivity index incorrectly assigns high values to voxels with low or negative activations. A re-analysis of our data to address these concerns shows that our assertion that many voxels in the fusiform face area (FFA) show high selectivity to nonface objects was incorrect (Fig. 1). In the re-analysis, we used the standard general linear model3 to identify active voxels and cross-validated the results (Supplementary Methods online). Owing to these errors, Figures 4 and 8 in the original paper are not valid. The other conclusion remains correct: the fusiform face area is heterogeneous, in that regions of high selectivity for faces are intermingled with regions of lower selectivity (Fig. 1b). These flaws do not affect reproducibility analyses that included all FFA voxels (Fig. 3 and Supplementary Fig. 2), principal component analysis (PCA; Fig. 6), pattern analyses (Supplementary Fig. 5) or comparison of high-resolution and standard-resolution fMRI data (Fig. 7), which remain valid. We sincerely regret these errors.