External Email - Use Caution Dear Dr. Douglas,
Thank you so much. I have difficulty to understand z map is essentially an infinite # of subjects. Before smooth, there is no GLM analysis. Does the smooth include in the GLM process? Best regards, Ting On Tue, Dec 3, 2019 at 2:14 PM Greve, Douglas N.,Ph.D. < dgr...@mgh.harvard.edu> wrote: > > > On 12/3/2019 1:36 PM, Ting Li wrote: > > External Email - Use Caution > Dear Dr. Douglas, > > Thank you so much for all the answers. I have two more questions. > > 1, When the Monte Carlo simulation is doing, how does one simulation is > done? > > - synthesize z map (synthesize z map for how many subjects?) > > The Z is essentailly an infinite # of subjects (it is just a single map). > > > - smooth z map (You have mentioned the FWHM comes from an estimate > from the residuals of the analysis, which analysis? or the way we process > the real data with the command mris_preproc with FWHM value? ) > > The GLM analysis, from the residual. > > > - threshold z map (Does it mean a GLM analysis so we can have > threshold z map?) > > No, the z-map is synthesized directly > > The simulation is done in mri_glmfit-sim and in mri_mcsim. > > 2, When we reference to the CSD files in freesurfer, will it correct the > cluster size p-value based on DOF (degree of freedom), like the t-ratios > table including a DOF? Thanks a lot! > > I don't know what you mean. > > > Best regards, > Ting > > On Mon, Dec 2, 2019 at 1:59 PM Greve, Douglas N.,Ph.D. < > dgr...@mgh.harvard.edu> wrote: > >> Correct. This is no different than, eg, a t-test. Look in the back of a >> stats book from the 1950s and you will find a table of t-ratios and >> corresponding p-values. Obviously, they did not have access to any of the >> data being analyzed today:), but the tables are still valid. >> >> On 12/2/2019 2:03 PM, Ting Li wrote: >> >> External Email - Use Caution >> Dear Dr. Douglas, >> >> Thank you so much for your detailed response. >> >> The simulation here is to get the probability of a maximum cluster that >> size or larger in the cached CSD files. It checks the probability of the >> cluster size but have nothing to do with the analysis metrics that I have >> used. Do I understand correctly? >> >> Best regards, >> Ting Li >> >> On Mon, Dec 2, 2019 at 11:57 AM Greve, Douglas N.,Ph.D. < >> dgr...@mgh.harvard.edu> wrote: >> >>> >>> >>> On 12/2/2019 11:58 AM, Ting Li wrote: >>> >>> External Email - Use Caution >>> Dear Dr. Douglas, >>> >>> Thank you so much for your quick response! You saved my half life. >>> >>> From the introduction of clusterwise correction for multiple >>> comparisons, I have a few questions. >>> >>> 1, What is the null hypothesis here ? >>> >>> In the tutorial, the null hypothesis is that there is no effect of age >>> (age slope = 0) >>> >>> 2, What is a z map? Do you mean synthesize cortical datasets? >>> >>> A z-map is just a map where all the values are from a gaussian >>> distribution with mean=0 and stddev=1. This just assigns a random z-value >>> to each vertex on fsaverage >>> >>> 3. Smooth z map, what FWHM do you use, if it is not consistent with my >>> FWHM, how will it affect the results? >>> >>> The FWHM comes from an estimate from the residuals of the analysis. The >>> residuals are everything that does not fit the linear model and represent >>> noise. We use the residuals to estimate the underlying smoothness (FWHM), >>> >>> 4, Threshold z map, what does level mean? Does it mean the vertex >>> p-value? >>> >>> Basically, it is the vertex p-value, but we use the "sig" = -log10(p). >>> You also have to specify the sign. If you have an a priori hypothesis about >>> the direction, then you can specify pos (positive) or neg (negative). If >>> you do not have an a priori hypothesis, then use abs (for absolute, for an >>> unsigned test). >>> >>> >>> Clusterwise Correction for Multiple Comparisons >>> To perform a cluster-wise correction for multiple comparisons, we will run >>> a simulation. The simulation is a way to get a measure of the distribution >>> of the maximum cluster size under the *null **hypothesis*. This is done >>> by iterating over the following steps: >>> 1. Synthesize a z map >>> 2. Smooth z map (using residual FWHM) >>> 3. Threshold z map (level and sign) >>> 4. Find clusters in thresholded map >>> 5. Record area of maximum cluster >>> 6. Repeat over desired number of iterations (usually > 5000) >>> >>> Thank you so much! >>> >>> Best regards, >>> Ting >>> >>> On Mon, Dec 2, 2019 at 10:20 AM Greve, Douglas N.,Ph.D. < >>> dgr...@mgh.harvard.edu> wrote: >>> >>>> That will use the pre-computed ("cached") CSD files distributed with >>>> FreeSurfer. This used 10,000 iterations. >>>> >>>> On 12/1/2019 11:34 PM, Ting Li wrote: >>>> >>>> External Email - Use Caution >>>> Dear Freesurfer Expert: >>>> >>>> I have used the simulation code as show below: >>>> >>>> mri_glmfit-sim \ >>>> --glmdir lh.gender_age.glmdir \ >>>> --cache 4 neg \ >>>> --cwp 0.05\ >>>> --2spaces >>>> >>>> My question is how many iterations are done during this simulation? I >>>> didn’t specify the iteration number. >>>> >>>> Why I didn’t have the csd file? >>>> >>>> Thanks a lot for your response! >>>> >>>> Best regards, >>>> Ting >>>> >>>> _______________________________________________ >>>> Freesurfer mailing >>>> listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >>>> >>>> >>>> _______________________________________________ >>>> Freesurfer mailing list >>>> Freesurfer@nmr.mgh.harvard.edu >>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >>> >>> >>> _______________________________________________ >>> Freesurfer mailing >>> listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >>> >>> >>> _______________________________________________ >>> Freesurfer mailing list >>> Freesurfer@nmr.mgh.harvard.edu >>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >> >> >> _______________________________________________ >> Freesurfer mailing >> listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >> >> >> _______________________________________________ >> Freesurfer mailing list >> Freesurfer@nmr.mgh.harvard.edu >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > _______________________________________________ > Freesurfer mailing > listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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