Activation maps for body-based cues conditions
Description
This dataset contains activation maps and Bayes factor maps for the contrast of the judgments of relative directions (JRD) task vs. the active baseline task (i.e., visually matched math questions). 1) model.nii: This file contains the “underlay” file for the activation and Bayes factor analysis. Specifically, this file contains our model template brain, which can be used for viewing the other files. 2) fig4a.nii: This file contains a figure of the beta maps (sum of the beta coefficients from 4-8 seconds following stimulus onset) from the activation analysis for the judgments of relative directions task and it has been thresholded at a voxelwise p < 0.001 and cluster-corrected threshold of p < 0.01. 3) fig4b.nii: This file contains a figure of the Bayes factor maps from the ANOVA investigating whether there were differences as a function of body-based cues. The values in this map represent the Bayes factors in favor of the null hypotheses (i.e., BF01) and have been thresholded at BF01 > 3. 4) fig4a_enriched.nii: This file contains a figure of the beta maps (sum of the beta coefficients from 4-8 seconds following stimulus onset) from the activation analysis for the judgments of relative directions task for the “enriched” condition. This map has been thresholded at a voxelwise p < 0.001 and cluster- corrected threshold of p < 0.01. 5) fig4b_limited.nii: This file contains a figure of the beta maps (sum of the beta coefficients from 4-8 seconds following stimulus onset) from the activation analysis for the judgments of relative directions task for the “limited” condition. This map has been thresholded at a voxelwise p < 0.001 and cluster- corrected threshold of p < 0.01. 6) fig4c_impoverished.nii: his file contains a figure of the beta maps (sum of the beta coefficients from 4-8 seconds following stimulus onset) from the activation analysis for the judgments of relative directions task for the “impoverished” condition. This map has been thresholded at a voxelwise p < 0.001 and cluster-corrected threshold of p < 0.01. These files can be viewed in neuroimaging software (e.g., AFNI) by setting the "underlay" to be model.nii and the "overlay" to be one of the other 5 files.