Dear FreeSurfers,
I’m comparing two groups (patients (N=45) and controls (N=93)) on
cortical thickness using 34 parcelated areas in each hemisphere (i.e.
68 areas in total). When correcting for multiple comparisons using
Bonferroni, only one area remains significant. Bonferroni is quite
conservati
You can use FDR correction.
On 08/14/2013 08:16 AM, Anita van Loenhoud wrote:
Dear FreeSurfers,
I’m comparing two groups (patients (N=45) and controls (N=93)) on
cortical thickness using 34 parcelated areas in each hemisphere (i.e.
68 areas in total). When correcting for multiple comparisons us
Hi Anna, you can use FDR (ie, Ben-Hoc). You can also use gaussian random
fields (GRF) to do voxel-wise or cluster-wise stats. In our
implementation, we actually use a monte carlo simulation. Run mri_glmfit
and spec the label you want to constrain your results to (--label), then
run mri_glmfit-
