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Using a six-parameter rigid-body transformation, the FA, MD, RD, and AD maps were coregistered to the white TAK-632 matter maps. Normalization of the white matter maps for each child to the white matter template was performed using the nonlinear normalization routine, and then applied to the DTI parameter maps. Only voxels with FA > 0.25 and white matter probability >0.9 were retained for further analysis with a minimum cluster size of 100 voxels. We only report clusters with a corrected P-value Ipatasertib in vitro the group maps (FA, MD, RD, and AD) were projected onto the white matter skeleton in MNI space Z-score maps were generated and a 3-mm Gaussian filter was used with a threshold of Z = 8. Regions of interest (ROIs) were defined from clusters found to show a significant difference of DTI measures (FA, MD, RD, AD) between the groups. For each ROI, the centroid was computed, and then transformed from MNI coordinates to Talairach coordinates using the nonlinear mni2tal procedure outlined in http://www.nil.wustl.edu/labs/kevin/man/answers/mnispace.html (RRID:SciRes_000110). Finally, the cortical gray matter region nearest to the centroid was found using the Talairach Daemon (Lancaster et al. 1997) and the appropriate white matter label was found using the MRI Atlas of Human White Matter (Oishi et al. 2010). Results Demographic and behavioral characteristics Demographic and behavioral characteristics of the participants are shown in Table ?Table1.1. There was no significant difference between the groups in age, sex, or the total score on the selleck chemicals llc CW-FR subtest (P > 0.05). Based on the inclusion criteria, there was a significant difference between the groups in the number of words correctly identified in the right and left ear (P