Table 3.
Connectivity matrix | Classification accuracy [%] | Sensitivity | Specificity | ||
---|---|---|---|---|---|
Cerebellum-NWs | 91.3 | 0.82 | 1.00 | ||
MTL-NWs | 85.3 | 0.77 | 0.94 | ||
Striatum-NWs | 64.7 | 0.65 | 0.65 | ||
Amygdala-NWs | 67.6 | 0.71 | 0.65 |
Classification results based on support vector machine algorithm and leave-one-out cross validation. Input to the classifier were connectivity matrices based on Pearson correlations between time courses of region-of-interest (ROI) of subcortical-cerebellar systems and cortical intrinsic networks of Figures S2–6.