Figure 4. Whole-brain representation of pattern classifiers.

Visual representation of whole brain pattern classifiers discriminating TS from TD using only GMV voxels common to both cohorts. Axial slice representations of the weight vectors (representing the degree to which each voxel contributes to the discrimination between TS and TD based on GMV measurements) are displayed from a leave-one-out linear SVM (employing PCA and RFE) using training data from the1.5T cohort (left) and using training data from the 3.0T cohort (right). Notable regions exhibiting relatively stronger classification weights (negative or positive) are identified for each classifier.