FIGURE 2.

Structural and functional independent networks. A machine learning method known as independent component analysis was applied to both structural and functional neuroimaging data. The eight structural ICs are displayed on the left (first column in hot colours); the eight functional ICs are displayed on the right (second column in cold colours). The functional networks included the cerebellar network (CN), the salience network (SN), the language network (LN), the default mode network (DMN), the visual network (VN), the fronto‐parietal network (FPN), the dorsal attention network (DAN) and the sensorimotor network (SMN)