Study characteristics of included articles.

<p>Study characteristics of included articles.</p

Screening and selection process for articles.

<p>Screening and selection process for articles.</p

Results of publication bias analysis.

<p>Bias was analyzed with Egger’s method. t = 0.6, <i>P</i> = 0.55.</p

Results of subgroup analysis of different types of schizophrenia.

<p>Results of subgroup analysis of different types of schizophrenia.</p

Results of the overall analysis.

<p>Results of the overall analysis.</p

Results of subgroup analysis of different parts of the CC.

<p>Results of subgroup analysis of different parts of the CC.</p

The division of feature samples using SWCV and 10-fold CV.

<p>The red rectangle denotes training set, whereas the green rectangle denotes testing set by the division of SWCV; Training set is further divided into sub-training set and sub-validation set by common 10-fold CV.</p

Sensitivity/specificity on the training and testing sets for different classification models with the optimal parameter combination.

<p>“▴” denotes that a p-value of <0.001 was obtained by ANOVA between F-score_FDA and F-score_SVM; “<b>*</b>” denotes that a p-value of <0.001 was obtained by ANOVA between F-score_BPNN and F-score_SVM; for BPNN, the number of hidden nodes = 5, and the learning rate  = 0.03; for SVM, radial =  32, and penalty parameter <i>C</i> = 2⁸.</p><p>Sensitivity/specificity on the training and testing sets for different classification models with the optimal parameter combination.</p

The flowchart of the presented CIT system.

<p>The flowchart of the presented CIT system.</p

Coefficients of the truncated decomposition filters <i>h</i>, <i>g</i> (IIR) and reconstruction filters H, G (FIR) for quadratic spline filters.

<p>Coefficients of the truncated decomposition filters <i>h</i>, <i>g</i> (IIR) and reconstruction filters H, G (FIR) for quadratic spline filters.</p