Data for: Human subsystems of medial temporal lobes extend locally to amygdala nuclei and globally to an allostatic-interoceptive system

Description Results from masked-ICA based on 20 components and dual regression at the local (medial temporal lobe including the amygdala: 'within-A-MTL', download mask here: https://osf.io/8j9ts/) and global (whole brain) level in three different samples presented in the paper Human subsystems of medial temporal lobes extend locally to amygdala nuclei and globally to an allostatic-interoceptive system (doi.org/10.1016/j.neuroimage.2019.116404) Content MaskedICA-Global_dual_regression_20_ICs_original: Twenty .nii files corresponding to 20 independent components (ICs) at the whole-brain level (hence, 'Global') after the 'dual regression' step, based on the 'original' sample data. See manuscript for IC numbering. MaskedICA-Global_dual_regression_20_ICs_replication1: One .nii files containing all 20 ICs ('merged'), using the first replication (REP1) sample data. MaskedICA-Global_dual_regression_20_ICs_replication2: Same as the previous one, but based on the second replication (REP2) sample data. MaskedICA-Local_dual_regression_20_ICs_original: Twenty .nii files corresponding to 20 ICs at the level of the A-MTL (hence, 'Local') after dual regression, based on the original sample data. MaskedICA-Local_dual_regression_20_ICs_replication1: One .nii (merged) file containing all ICs at the A-MTL level, using REP1 sample data. MaskedICA-Local_dual_regression_20_ICs_replication2: Same as the previous one, but based on REP2 sample data. MaskedICA-Peaks_20_ICs_original: Twenty .nii files; each file contains voxelwise t-values derived from the dual regression step in the original sample. These files allow finding the 'functional connectivity peak', i.e., the voxel with the highest t-value.