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   Annot
   1       11.876    5844   8068.22    -30.8  -90.0   -6.7  0.00010  0.00000  0.00020  13205  lateraloccipital
   2        6.278   47405    509.89     -8.4   19.7   44.6  0.00010  0.00000  0.00020   957  superiorfrontal
   3        6.181    9914    176.02    -32.1  -16.8  -29.7  0.00520  0.00430  0.00610   372  entorhinal
   4        5.402   14506    801.47    -37.9    1.7   26.1  0.00010  0.00000  0.00020  1736  precentral
   5        4.569  110505    214.43    -44.7    9.7   17.8  0.00150  0.00100  0.00200   366  parsopercularis
   6        4.535  117390    223.77    -48.3   28.5    1.8  0.00120  0.00080  0.00170   411  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