Hello Ayça,
without pondering too much on the issue that not correcting for multiple
comparisons is a bad idea (google "fmri dead salmon"), it is not clear
what you want:
> I was wondering if there is a way to filter the results by P
> uncorrected. I am using the "none" option for p value adjustment to
> control and set my threshold to 0.01 and I get the results table with P
> uncorrected <0.005. Is there anyway to get only the clusters with P
> uncorrected<0.002?
You need to be specific at which level you want to apply this threshold:
what you first did was to apply a *voxel-level* threshold. If you set
that to 0.01 (ridiculously high/low [depending on perspective], but
anyway), then you should see all *voxels* that pass this threshold.
If you then want to filter by some other threshold, you are likely
referring to the *cluster-level* threshold. This is based on the size of
the cluster which can also be used to correct for multiple comparisons
(see Woo et al., NeuroImage 2014). The table you are likely referring to
gives you these sizes. You can then enter the minimal cluster size next
time you look at the contrast by entering this value into the "cluster
extent" field popping up after the initial voxel-level threshold.
For the record, this is potentially complicated by the correction for
non-stationarity, but I think I will leave that for another day ;)
Cheers,
Marko
--
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PD Dr. med. Marko Wilke
Facharzt für Kinder- und Jugendmedizin
Leiter, Experimentelle Pädiatrische Neurobildgebung
Universitäts-Kinderklinik
Abt. III (Neuropädiatrie)
Marko Wilke, MD, PhD
Pediatrician
Head, Experimental Pediatric Neuroimaging
University Children's Hospital
Dept. III (Pediatric Neurology)
Hoppe-Seyler-Str. 1
D - 72076 Tübingen, Germany
Tel. +49 7071 29-83416
Fax +49 7071 29-5473
[log in to unmask]
http://www.medizin.uni-tuebingen.de/kinder/epn/
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