Figure 2.
Behavioral Results and an Illustration of Workflow for Penalized Regression Analysis
(A) Distribution of political attitudes (orientation). Political attitudes are scaled from 0 (extremely liberal) to 1 (extremely conservative) (mean = 0.500, SD = 0.225). We divided participants (n = 83) into three groups (liberal [n = 28], moderate [n = 27], and conservative [n = 28]) based on their political attitudes. Red dotted lines indicate tertiles (33.3% and 66.6%).
(B) Test-retest reliability of political attitudes. The Pearson correlation coefficient is 0.952, p < 2.2 × 10−16, and the robust correlation coefficient is 0.986, p < 2.0 × 10−16.
(C) Subjective ratings of emotional pictures for each group. Error bars indicate ±1 SE.
(D) Schematic illustration of workflow for a machine-learning (penalized-regression) model. A 10-fold cross-validation is used to estimate two tuning parameters of the elastic net model. The survival rate was projected back into the brain space (see the Supplemental Experimental Procedures and Figure S3A).
See also Figure S3.