Fig. 2: Accuracy of schizophrenia classifier using VBM- and FreeSurfer-based morphometry features. | Translational Psychiatry

Fig. 2: Accuracy of schizophrenia classifier using VBM- and FreeSurfer-based morphometry features.

From: Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder

Fig. 2: Accuracy of schizophrenia classifier using VBM- and FreeSurfer-based morphometry features.

a) Leave-site-out cross-validation performance measured as the ROC-AUC. b Specificity of schizophrenia-control classifier (trained on all SZ-HC cohorts) for prediction in independent cohorts. The red horizontal line demonstrates 50% ROC-AUC or specificity, respectively. The classification was based on random forest machine learning. SZ: schizophrenia; BD: bipolar disorder; ADHD: attention-deficit/ hyperactivity disorder; HC: healthy controls

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