Fig. 4: Associations between Cognitive Profiles and Whole-brain GMV.
From: Mapping computational cognitive profiles of aging to dissociable brain and sociodemographic factors
A General Linear associations between WCST cognitive profiles and grey matter volume (GMV); blue = ↑GMV, red = ↓GMV. Above: higher WCST-PC1 (well-performing) scores were linked with greater GMV in L fusiform (z = −24), L cerebellum (z = −25), and bilateral amygdala (z = −22, z = −21). WCST-PC4 (slow initial learning) was also associated with increased GMV in the L cerebellum (z = −45). Below: WCST-PC3 (poor performing + rigid focusing) scores were associated with reduced GMV in the L fusiform (z = −24), R fusiform (z = −14), L orbital part of the inferior frontal gyrus (z = −14), L PFC (z = 39), L DLPFC (z = 39), L cerebellum (z = −26), and bilateral amygdala (z = −21, z = −12). B General Linear associations between Go/No-Go profiles/parameters and grey matter volume (GMV); blue = ↑GMV, red = ↓GMV. Above: v.NoGo (L parietal cortex, L fusiform, R triangular part of IFG; z = 32, z = −8, z = 4), v.average (L occipital lobe; z = −9), and z (L middle temporal gyrus, amygdala; z = −18, z = −14) were positively associated with GMV. Below: GnG-PC3 (random responding) was associated with significantly reduced GMV in the L amygdala (z = −18). Circles were added to enhance the clarity of activation blobs.
