This analysis named 'Mless_DTLVC' tested the hypothesis (high scores are good) that there is a relationship between lesion status and the behavior score 'x_AVG'. 73 subjects were listed for inclusion, and 0 were excluded due to missing behavioral data, lesion data, or for having no voxels inside the minimum lesion cutoff mask (). Each lesion volume was binarized prior to the analysis. Data was corrected for lesion volume via DTLVC. No other covariates were specified. The resulting SVR-β values were thresholded at p < .05 and corrected for cluster size at p < .05, both based on 10000 permutations. The analysis was restricted to voxels with at least 7 overlapping lesions. The analysis was run on 25-Sep-2019 using MATLAB's SVR procedures (parallelized, not run from the GUI), with parameters gamma = 5 and cost = 30. SVR-β maps were generated using 5-fold cross-validation.Hyperparameter optimization was not utilized. The analysis completed in 29 hours and 16 minutes.
Overlap of lesions in the patient sample (N = 73), a green outline indicates regions meeting the minimum lesion overlap criterion for the analysis (N = 7) totaling 300515 or approximately 44% of the 676627 voxels with any lesions present.
