Table 4.
Locationa | Sizea | Mean fractional anisotropya | Sensitivity/Specificity | ||||
---|---|---|---|---|---|---|---|
Region | RL | AP | IS | Voxels (mm3) | PD | Control | Regional AUROC |
Rectal GyrusŦ | 1 | −25 | −21 | 1457 | 0.24+/−0.03 | 0.20+/−0.02 | 0.82 |
Middle CingulateŦ | 1 | 18 | 38 | 1093 | 0.20+/−0.05 | 0.15+/−0.04 | 0.75 |
Left Putamen | 18 | −6 | −3 | 1066 | 0.30+/−0.04 | 0.24+/−0.03 | 0.82 |
Right Putamen | −18 | −10 | −6 | 411 | 0.26+/−0.04 | 0.20+/−0.03 | 0.82 |
Left Thalamus | 9 | 21 | 7 | 238 | 0.28+/−0.02 | 0.25+/−0.02 | 0.80 |
Mean of Regionsb | 0.25+/−0.02 | 0.21+/−0.02 | 0.901 |
Raw results involved creating 42 separate renditions of the above tables. However, for the sake of clarity, we present location and size of regions derived from the full analysis (generated by taking the 90 % confidence interval from a map comprised of adding all 2,100 bootstrapped analyses). Similarly, mean and standard deviation of fractional anisotropy are shown based on the full bootstrapped analysis. Conversely, sensitivity and specificity (AUROC) is based on each of the 42 individual “left out” analysis
Mean value of each region, rather than mean of individual voxels (which would have weighted predictions to favor larger regions) was used to generate a “mean of regions” for the purposes of prediction