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. 2016 Nov 15;6(11):e948. doi: 10.1038/tp.2016.213

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.