post-learning RSFC: VTA/SN seed - A_c29_zcorr

Contributed by stefaniemeliss on Dec. 19, 2022

Collection: Motivated Incidental Consolidation (MIC)

Description: For each pre-processed rest time series separately, AFNI’s ‘3dSetupGroupInCorr’ was specified, loading in the respective time series of all subjects into an object to be used as input for ‘3dGroupInCorr’, a program that in turn computes the average time series within the specified input mask (i.e., VTA/SN) to then compute the Pearson correlation between the averaged time course within the input mask and the time course of each voxel in the brain. GCOR was included as a subject-level covariate to further account for nuisance sources. ‘3dGroupInCorr’ does not only calculate seed-based FC at group level but also outputs the individual Fisher's z-transformed results. The output image has 56 volumes: (1) mean correlation whole sample (covariate included), (2) z values mean correlation whole sample (covariate included), (3) effect of gcor variable whole sample, (4) z values effect of gcor variable whole sample, (5) mean correlation whole sample (covariate NOT included), (6) z values mean correlation whole sample (covariate NOT included), (7-56) individual seed-based FC maps.

Task View 3D View