Fig. S1.

An example of the default network posterior hub identified through the self-organizing map algorithm. Following procedures described in Wiggins et al. (2011), the self-organizing map algorithm, a data-driven method, was applied to the data to organize voxels into networks. An experienced investigator blind to condition identified the network that contained the posterior hub (posterior cingulate and angular gyri/inferior parietal lobules) of the default network for each individual. The posterior hub was then used as an individualized reference to calculate default network connectivity for each participant. An example of the posterior hub from one individual is shown here. Data are from a single 64 × 64 slice in the transverse plane. White indicates that the voxel is a member of the posterior hub; gray indicates that the voxel does not belong in the posterior hub. The brain is masked for illustration purposes to highlight the posterior hub. At this point in the data-processing stream, brains are not yet normalized.