Output of mri_glmfit-sim for a right 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       10.769  107706   6622.91     43.3  -78.6   -5.8  0.00030  0.00000  0.00060   9775    49541.43  lateraloccipital
   2        4.574   61546    372.58     27.7  -52.8   47.4  0.00030  0.00000  0.00060    846     2813.02  superiorparietal
   3        3.619   32897     89.67     10.6   14.5   50.2  0.26271  0.25336  0.27197    185      567.70  superiorfrontal
}}}

 * Much of the header has been removed for clarity
 * Max = maximum voxel-wise signifiance in the cluster
 * VtxMax - vertex at the maximum
 * Size(mm2) - size of cluster in millimeters square
 * MNIX, MNIY, MNIZ  - MNI305 Coordinates 
 * 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