The cluster p-value is the significance corrected for multiple comparisons. It is possible for a cluster to be large and yet made up of voxels whose individual significances are low. The p-value for such a cluster may be significant, whereas a small cluster made of individual highly significant voxels may not be significant at the cluster level. doug
On 12/17/2013 12:44 PM, Celine Louapre wrote:
Oh so we don't report the significance itself? because for example if we have a small cluster but highly significant, does the cluster-wise correction p value take it into account? (compared to a large cluster but with lower significance). I may not have completely got this. Thanks Doug Celine
Hi Celine, you should report the clusterwise p-value (which is neither of those). doug
On 12/17/2013 12:11 PM, Celine Louapre wrote:
Hi all I am wondering what is the best to present GLM results in a table on top of the visual display. For the significant clusters after clusterwise correction, should we display the Max -log10(p) as in the summary file itself, or the p value directly, or a transformed pvalue like a Z score? Thanks for advices Celine
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