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 12.766 129167 7602.35 -31.5 -89.3 -6.7 0.00300 0.00000 0.00599 12497 62635.02 lateraloccipital 2 4.794 45226 1177.64 -36.9 1.7 26.6 0.00300 0.00000 0.00599 2350 7803.95 precentral 3 6.732 16687 477.00 -8.9 18.7 44.1 0.00300 0.00000 0.00599 895 3374.49 superiorfrontal 4 4.367 23978 180.65 -49.2 28.7 1.8 0.02970 0.01789 0.04141 305 971.71 parstriangularis
* 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