Output of mri_glmfit-sim for a right 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 10.769 107706 6622.91 43.3 -78.6 -5.8 0.00030 0.00000 0.00060 9775 49541.43 lateraloccipital 2 4.574 61546 372.58 27.7 -52.8 47.4 0.00030 0.00000 0.00060 846 2813.02 superiorparietal 3 3.619 32897 89.67 10.6 14.5 50.2 0.26271 0.25336 0.27197 185 567.70 superiorfrontal
- Much of the header has been removed for clarity
- Max = maximum voxel-wise signifiance in the cluster
VtxMax - vertex at the maximum
- Size(mm2) - size of cluster in millimeters square
- MNIX, MNIY, MNIZ - MNI305 Coordinates
- 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