On 9/11/13 11:57 PM, Chung, Yoonho wrote:
Dear all,
Is there a way to visualize vertex wise t-values (t-statistics), instead of
p-values, on a vertex map when you are doing group analyses? I successfully
generated the p-maps using mri_glfmfit, but I am wondering if vertex-wise
maps that
That converts from MNI305 to MNI152 without going through the talairach
itself. When FS computes Tal coords, it does so nonlinearly.
doug
On 9/11/13 12:08 PM, Yang, Daniel wrote:
Hi Doug,
It's pretty awesome. So accordingly,
MNI152x = (0.9975) MNI305x + (-0.0073) MNI305y + (0.0176) MNI305z
For an F-test (multiple rows in the contrast), there should not be a
sign to the p-values. Are you seeing a sign?
On 9/14/13 8:01 AM, ye tian wrote:
Dear Freesurfers,
If I understand correctly, the red (positive) means design*contrast0;
blue (negative) means design*contrast0. Is this
Hi John, you would make the event last long enough to encompass all the
subevents. It might be a problem for optseq if you need to cue the
subject as to when to perform each subevent.
doug
On 9/12/13 6:23 PM, John Ryan wrote:
Hi all - I'm trying to design my first event related experiment,
Hi Suzanne, why would you not just re-run mri_glmfit-sim with the
different vertex wise threshold? If you want to use 20 voxels, then
you'd have to look a the table and see what cluster p-value that
corresponds to with vertex threshold = .005
doug
On 9/11/13 10:20 AM, Suzanne Oosterwijk
Hi Venkatesh, try using mri_glmfit-sim and spec the permutation simulation
method. This is just a front end script for what you have run, but it handles
everything, including running mri_surfcluster to get the cluster pvalues.
Another possibility is to run randomise on the output of
Dear Douglas,
Indeed, I tried and didn't see a sign.
Thank you very much for your explanation.
Sincerely,
Ye
On Sun, Sep 15, 2013 at 2:57 PM, Douglas Greve gr...@nmr.mgh.harvard.eduwrote:
For an F-test (multiple rows in the contrast), there should not be a sign
to the p-values. Are you
Dear Doug,
I am afraid that I don't see a difference between fsgd file and customized
design matrix in this case. If I were to set up my own design, the matrix
would still have a column of zero's -- unless there is a trick that I don't
know?
Thank you very much for your patience.
Sincerely,
Ye
Aser,
If you you put your custom sequence into SPM, you can get the graphs above.
The key variables are:
SPM.Sess.U.u, time variable is
0:TR/#oftimebins:TR/#oftimebins*size(SPM.Sess.U.u,1)
SPM.xX.X, time variable is 0:TR:TR*size(SPM.xX.X,1), this is the convolved
data., this is the stick function
Ye,
If you use the DOSS model as Doug suggested, you have will not have a
column of 0s in the matrix. However, the group columns become the
covariate-adjusted thickness in each group (e.g. thickness at the mean
years of meditation across everyone) - which doesn't make sense as
non-meditators
Hi,
Sorry to repost, but I'm seeking some advice on updating the tables and volumes
associated with aseg.mgz.
I have completed the cortical analysis on a number of subjects and now would
like to review and edit (if needed) aseg.mgz
My strategy is to not cause any changes to the surfaces
Just remove that column. You don't need it or want it.
doug
On 9/15/13 11:42 PM, ye tian wrote:
Dear Doug,
I am afraid that I don't see a difference between fsgd file and
customized design matrix in this case. If I were to set up my own
design, the matrix would still have a column of zero's
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