Starting from the single voxel whole brain functional connectivity profiles that were used to compute the connectivity profile similarity matrix (see subsection “Resting state functional connectivity profiles”, above), a statistical assessment was made of the task preference-specific functional connectivity profiles across participants. For each participant, each of the two IFS1 ROIs, the single voxel functional connectivity maps were average for voxels of the same mono-task preference type. This resulted in three FC maps per ROI and per participant. These average FC maps were Fisher-Z transformed and smoothed with a 6 mm FWHM Gaussian kernel to compensate for interindividual anatomical variation. These maps were used in a second level repeated measures GLM analysis with two ROIs (left and right) and three task preference types (Eriksen, Backmatching and Switching) as the independent factors. A general preference type-specific functional connectivity map was generated by a contrast that combined the left and right data into a single statistical image of voxels with an association strength that significantly differed from zero. The statistical image was corrected for multiple comparisons using a whole brain FDR-corrected significance level of 0.05.
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