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       11.266   97631   7756.99    -41.6  -49.0  -13.8  0.00300  0.00000  0.00599  12792    63912.31  fusiform
   2        4.781  116698   1195.45    -34.8    2.2   29.2  0.00300  0.00000  0.00599   2393     7844.09  caudalmiddlefrontal
   3        6.253  140863    509.24     -9.4   20.0   42.0  0.00300  0.00000  0.00599    959     3717.30  superiorfrontal
}}}
* 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