Data quality and deidentification
Firstly, facial features were removed from all the T1-weighted images to ensure complete deidentification (pydeface, 10.5281/zenodo.3524401). Then, to test the stable imaging data quality, we opted to use MRIQc (v 0.15.0, 10.1371/journal.pone.0184661). This quality control tool enables the use of a broad spectrum of quality indices, including the signal-to-noise ratio and entropy focus criterion. A selection of the most relevant quality indices was analyzed with a mixed model and revealed a stable quality in all the relevant parameters over the time points (Table 