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