Table 2. Predictive accuracy of the univariate neuropredictive clusters, as estimated by MVPA with cross validation.
Mask | Nvoxels | r | P(r) | R2 | P(R2) | nMSE | P(nMSE) |
---|---|---|---|---|---|---|---|
Univariate neuropredictive network | 2184 | 0.85 | <0.0001 | 0.72 | 0.0001 | 1.33 | <0.0001 |
Inferior occipital gyrus | 1930 | −0.14 | 0.62 | 0.02 | 0.66 | 6.89 | 0.39 |
Whole brain | 228 453 | 0.16 | 0.17 | 0.02 | 0.67 | 4.63 | 0.15 |
Abbreviation: MVPA, multivariate pattern analysis.
Prediction accuracy was indicated by Pearson's correlation coefficient (r), coefficient of determination (R2) and normalized mean squared error (nMSE) between predicted and actual treatment effectiveness. Significance (P-value) was determined with a random permutation test (50 000 iterations). Significant regions and statistics were displayed in bold. Cross validation was based on a leave-one-subject-out framework.