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. 2021 Jul 2;12:4081. doi: 10.1038/s41467-021-24368-2

Fig. 9. Whole-brain voxel-wise preference map for visual context (object2vec) vs. object spatial properties.

Fig. 9

This preference map shows differences in model performance for the object2vec encoding model and the spatial-properties encoding model. Voxel-wise difference scores were calculated by subtracting prediction accuracy for the spatial properties model from prediction accuracy for the object2vec model. Warm colors indicate voxels that were better explained by object2vec and cool colors indicate voxels that were better explained by spatial properties. Difference scores are plotted for voxels that show a significant preference for either model (p < 0.05, FDR-corrected, one-sided permutation test). There are clusters of significantly greater prediction accuracy for object2vec relative to spatial properties in the anterior PPA and in the parahippocampal cortex beyond the anterior PPA boundary. There are clusters of significantly greater prediction accuracy for spatial properties relative to object2vec in posterior PPA and the other scene-selective ROIs (OPA and RSComp). ROI parcels are shown for scene-selective ROIs. PPA parahippocampal place area, OPA occipital place area, RSComp retrosplenial complex.