Kiebel, S., Poline, J.-B., Friston, K. J., Holmes, A. P., & Worsley, K. J. (1999). Robust smoothness estimation in statistical parametric maps using standardized residuals from the general linear model. NeuroImage, 10, 756–766.
Dear SPM/SnPM experts,--Could someone please share the mathematical formula for finding the corrected p-value of a cluster (after correction for multiple comparisons through Monte Carlo simulations), given some or all of the following variables?- the cluster z-score (max or mean)- the cluster-size (voxels or volume)- the standard deviation of the values within the cluster- the size of the brain mask used for multiple comparisons correction (voxels or volume)- the cluster-forming threshold (p-value or z-score)- the significance level α (p-value or z-score)- the voxel resolution of the images (acquired or normalized)- the FWHM of the smoothing appliedMany thanks in advance,Stavros
You received this message because you are subscribed to the Google Groups "Statistical Nonparametric Mapping" group.
To unsubscribe from this group and stop receiving emails from it, send an email to snpm-support+unsubscribe@googlegroups.com .
To post to this group, send email to [log in to unmask].
Visit this group at https://groups.google.com/group/snpm-support .
To view this discussion on the web, visit https://groups.google.com/d/msgid/snpm-support/CA% .2Bmu31qL3HPofFUOn0D8KNv4MQ9xv7 nJT9X-6-3Cu%3DyE3Dd8cA%40mail. gmail.com
For more options, visit https://groups.google.com/d/optout .