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