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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