Table 5.
Summary of activation peaks related to two resting-state networks specific to the postlearning condition identified using the SSICA algorithm
| Network index | p value (post − pre) | z-value | MNI coordinates |
Anatomical label | ||
|---|---|---|---|---|---|---|
| x | y | z | ||||
| 1 | 0.0000 | 4.9 | −26 | −10 | 68 | L precentral gyrus, BA6 |
| 4.4 | −42 | −38 | 60 | L postcentral gyrus, BA2 | ||
| 4.0 | −40 | −22 | 60 | L precentral gyrus, BA4 | ||
| 3.3 | −26 | −50 | 68 | L superior parietal lobule, BA7 | ||
| 2 | 0.004 | 9.7 | −58 | −6 | 24 | L postcentral gyrus, BA3b |
| 8.3 | −60 | −6 | 12 | L SII, parietal operculum OP4 | ||
| 8.1 | −58 | −4 | 30 | L PMv, BA6 | ||
| 7.3 | −52 | −8 | 34 | L precentral gyrus, BA4 | ||
p values (post − pre), the result of statistical tests comparing the strength of functional connectivity within each network from pretraining to post-training resting-state scans; L, left. z-values give the z-scores of the activation peaks in the spatial map of each specific network.