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. 2017 Feb 6;14:334–343. doi: 10.1016/j.nicl.2017.02.003

Fig. 2.

Fig. 2

Voxel-based morphometry and support vector machine classification results for semantic variant PPA as compared to healthy controls. Top left: voxel-based morphometry (VBM) results for the comparison between semantic variant PPA (svPPA) and healthy controls (HC) (family-wise error corrected p < 0.05). Bottom left: Regions of interest (ROIs) based on independent meta-analyses. Right: Results of support vector machine (SVM) classification. Top: Regions most relevant for classification as patients in yellow, HC in light green. Note that the scale of the distance weights has no applicable units. Bottom: Sensitivity, specificity, and accuracy for the ROI approach and the whole brain approach in SVM classification.