Output of mri_glmfit-sim for a left hemisphere surface-based fMRI analysis (encode-v-base contrast):
# ClusterNo Max VtxMax Size(mm^2) MNIX MNIY MNIZ CWP CWPLow CWPHi NVtxs WghtVtx Annot 1 11.659 97629 6136.15 -42.0 -48.0 -13.5 0.00030 0.00000 0.00060 9152 53229.39 fusiform 2 6.315 157496 1801.73 -24.1 -71.6 25.5 0.00030 0.00000 0.00060 3905 15096.38 superiorparietal 3 5.190 30291 768.79 -39.7 1.6 25.9 0.00030 0.00000 0.00060 1656 5859.67 precentral 4 5.954 73097 548.29 -9.0 20.9 42.4 0.00030 0.00000 0.00060 1031 4011.96 superiorfrontal 5 4.727 154486 324.21 -48.9 12.5 14.6 0.00060 0.00000 0.00120 574 1845.59 parsopercularis 6 4.252 68077 259.77 -40.4 28.4 3.7 0.00210 0.00120 0.00300 488 1589.40 parstriangularis 7 6.139 52930 147.16 -28.4 -14.2 -31.6 0.03966 0.03528 0.04404 303 1160.92 entorhinal
- Much of the header has been removed for clarity
- Max = maximum voxel-wise signifiance in the cluster
VtxMax - vertex number of the maximum
- Size(mm2) - size of cluster in millimeters square
- MNIX, MNIY, MNIZ - MNI305 Coordinates of maximum
- CWP - p-value of the cluster (CWP=Cluster-Wise P-value)
- CWPLow - lower 95% confidence interval of CWP
- CWPHi - upper 95% confidence interval of CWP
- NVtxs - number of vertices in cluster (each vertex will not have the exact same area, you can estimate mean vertex area by dividing total surface area by the number of vertices)
- Annot - name of annotation that maximum falls into