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. 2016 Feb 17;10:55. doi: 10.3389/fnhum.2016.00055

Table 3.

Classification results based on intrinsic functional connectivity (iFC) between single subcortical-cerebellar systems and cortical networks.

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.