Differences between revisions 5 and 6
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 * NVtxs - number of vertices in cluster  * 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)

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

FsFastGroupLevel5.1/ClusterSummaryLh (last edited 2017-03-07 19:34:46 by AndrewHoopes)