Table 2:

The stimulation sites corresponding to the dynamically responsive network that best match a particular RS network

Resting-state networkStimulation condition
Cortex (excluding subcortex)Subcortex (excluding cortex)Cortex and subcortex
Default modePFCm (0.8337)AD (0.8420)AD (0.8506)
VisualCCs (0.6455)GL (0.6953)GL (0.7510)
Auditory-phonologicalTCs (0.7147)GMPC (0.6630)TCs (0.7147)
Somato-motorM1 (0.8153)MDDC (0.8199)M1 (0.8153)
MemoryV2 (0.8646)MDDC (0.8454)V2 (0.8646)
Ventral streamCCa (0.7845)ML, AN, SG (0.8122)CCa (0.7845)
Dorsal attentionM1 (0.7039)R, VA, X (0.7097)AD (0.7631)
Working memoryCCs (0.8006)PAC, Cdc (0.8204)GL (0.8069)
  • All responsive networks of a parameter configuration were compared to the eight experimentally known RS networks. A permutation test was performed to test the significance of each comparison. The multiple comparisons were corrected using the Bonferroni–Holm correction. For the comparison, the dynamically responsive networks were differentiated into: cortically, subcortically responsive networks, and the union of all responsive networks irrespective of the stimulation site. For each of these three groups separately, the parameterization was found to show the best accordance of stimulation responsive networks with the entire set of RS networks. The optimal parameterization is the ratio of 20% to 80% for the heterogeneous/homogeneous SC and a range of 10 mm for the homogeneous SC for all groups, except the range is with 17 mm different for the group of responsive networks to subcortical stimulation. Note the presence of cortical and subcortical sites in the last column, which has higher matching values on average over the eight RS networks compared with the other groups. The value in parenthesis is the matching coefficient (it varies between 0 and 1). Abbreviations are listed in Table 1.