Two-Sample t-test: aHPC RSFC change - control_Zscr

Contributed by stefaniemeliss on Dec. 19, 2022

Collection: Motivated Incidental Consolidation (MIC)

Description: The main analysis focused on FC between aHPC and VTA/SN. However, whole-brain seed-based RSFC analyses were conducted for exploratory purposes. For this, data from pre- and post-learning rest phases from each subject were loaded into ‘3dGroupInCorr’, specifying aHPC and VTA/SN as seeds, respectively, to compute two seed-based FC maps, one for each ROI as seed, while controlling for GCOR to further account for sources of noise at group level, creating two seed-based maps per subject where the value in each voxel represents the Fisher’s z-transformed correlation coefficient with the averaged time series of each seed, respectively. Individual Fisher’s z-transformed maps were extracted for the pre- and post-learning resting phase to compute the RSFC as the difference between post- and pre-learning rest. These individual difference maps were then used as input for Two Sample t-tests to determine any differences between the groups with respect to changes in RSFC with either seed. The output image has 6 volumes: (1) mean difference between groups, (2) z values mean difference between groups, (3) mean correlation control group, (2) z values mean correlation control group, (3) mean correlation experimental group, (2) z values mean correlation experimental group

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