to solve this problem, what combination of arguments should I use? And if
this is not, do you have any idea how I can solve this problem?
Many thanks in advance.
Regards,
Giuliana
--
Giuliana Klencklen, Ph.D.
Helen Wills Neuroscience Institute
University of California, Berkeley
118 Barker Hall
e such a low cluster forming
> threshold (1.3=p<.05), then you should use permutation and not MC (MC is
> not valid at such low thresholds).
>
> On 2/22/19 7:49 AM, Giuliana Klencklen wrote:
>
> External Email - Use Caution
> Thanks Douglas, that makes sense. I have r
ns?
>
> On 3/14/19 5:45 AM, Giuliana Klencklen wrote:
> >
> > External Email - Use Caution
> >
> > Hi Douglas,
> >
> > According to your suggestion, I used the permutation simulation
> > approach. I chose a cluster forming threshold set at 0.05
the vertices in the cluster are
> fixed. The permutation judges how likely the cluster as a whole would be
> seen by chance. There are other ways to do permutation, but this is the way
> we do it.
>
>
> On 3/18/19 11:25 AM, Giuliana Klencklen wrote:
>
> External Emai
the overlay does not show at all the significant clusters
summarized in the something.sig.cluster.summary.
I run the mri_glmfit-sim command again but the problem persists.
Does anyone have a clue about what is going wrong?
Many thanks,
Giuliana Klencklen
--
Giuliana Klencklen, Ph.D.
Helen
; -log10(cwp), where cwp is the --cwp threshold you used in mri_glmfit-sim.
> If it is different, then it might not show all the cluster
>
> On 3/29/19 6:48 AM, Giuliana Klencklen wrote:
>
> External Email - Use Caution
> Hi FS experts,
>
> I use tksurfer (e.g., tksurfer f
