Extended Data Fig. 2: Cross-prediction results of five common attention factor CPMs.
a. Cross-prediction results when models were applied to predict the common attention factor from different fMRI data. Models’ prediction accuracies were assessed by prediction q2 and correlation r between observed and predicted common factor measures. P values of significance were obtained using 1,000 permutations and corrected for all 5×5 tests (***: p < 0.001, **: p < 0.01, *: p < 0.05, and ~: p < 0.1). Rows represent different fMRI data used to predict a common attention factor used in model construction, and columns represent the same but in model validation. b. Cross-prediction results, taking into account shared variance (the common factor) between task behaviors. Models’ prediction accuracies were assessed by partial correlation between observed and predicted behavior scores while controlling for the shared variance. P values of significance were obtained using 1,000 permutations and corrected for all 5×9 tests (***: p < 0.001, **: p < 0.01, *: p < 0.05, and ~: p < 0.1). Rows represent different fMRI data used to predict a common attention factor used in model construction, and columns represent combinations of fMRI data and behavior scores used in model validation. GradCPT: gradual-onset continuous performance task, MOT: multiple object tracking, and VSTM: visual short-term memory.
