Apologies for my previous long email; if anyone gets a chance to look over
the questions I'd be really grateful!
Many thanks indeed,
Tudor

On 16 April 2013 19:40, Tudor Popescu <tud...@gmail.com> wrote:

> Thanks Nick, (and thanks Doug too for the answer to question 2.)
>
> It must indeed have been a disk-space issue, as running the -qcache again,
> after clearing up some space, produced all the expected .mgh files
>
> If I can follow up on two of my previous questions:
>
> 3) Not sure I understand your answer. So it seems discrete variables, such
> as gender, cannot be taken as covariates or nuisance variables, only as
> factors. But users might want to take some discrete variables as
> covariates, rather than as factors, as I might not be interested in their
> direct effect on the brain measure but simply want to parcel out the
> variance that they contribute. Are you suggesting that they should be taken
> as factors even if they aren't of interest?
>
> 4) Does the ideal value of FWHM depend on the blob size in the sense that
> if one expects small blobs in the results (how small?), then one should use
> small FWHMs in QDEC, and large FWHMs if expecting large blobs?
>
> I apologise for the amount of questions I keep asking, but I have a few
> more:
>
> A) When trying repeated analyses (designs) in QDEC, do I need to delete
> the output files of previous analyses, and/or restart QDEC every time? Or
> are the results of each analysis displayed correctly independently of
> previously-made analyses in the same QDEC session? I'm asking because I see
> that, once the "Set using FDR" button is pressed, the corrected t threshold
> remains in use for subsequent analyses, but after restarting QDEC and
> redoing the last analysis, the t threshold is no longer the same
>
> B) Must all QDEC analyses always be done for the two hemispheres
> separately? Is there no analysis that can be done on the whole brain, such
> that the t-value thresholds are FDR-corrected at the whole-brain level?
>
> C) I would like to extract the cortical thickness of several cortical ROIs
> including the IPS, IFG and SPL; I didn’t know whether the Desikan-Killiany
> or the Destrieux atlas would be more appropriate, but I tried the command
> given 
> here<http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI#TableoftheaveragethicknessofeachcorticalparcellationintheDestrieuxatlas>,
> hoping to obtain a table with the thickness of all ROIs from the
> parcelation corresponding to the Destrieux atlas. However, although the
> command results in the message " lh.aparc.a2009.thickness.table", I found
> no such file anywhere in my $SUBJECTS_DIR
>
> D) How should a regression-type analysis be made in QDEC, i.e. one where I
> have a continuous predictor such as behavioural score, whose correlation
> with the brain measure (cortical thickness) I want to compare between my
> two groups? Because of QDEC's preference for discrete variables as factors,
> it seems that only ANOVA-type analyses can be done (i.e. effect of discrete
> factor(s) on brain measure), rather than regression-type (i.e. correlation
> between continuous factor and brain measure)
>
> E) The average brain with inflated cortex that results are projected on –
> is this the same average that is normally used in most papers, or does the
> inflating algorithm differ? And is the colour-coding the same (dark gray =
> sulci, light gray = gyri)?
>
>
>
> On 15 April 2013 23:52, Nick Schmansky <ni...@nmr.mgh.harvard.edu> wrote:
>
>> Tudor,
>>
>> In the recon-all.log, it has this line:
>> ERROR: writing lh.jacobian_white.fwhm15.fsaverage.mgh
>>
>> but earlier in the log it saved lh.jacobian_white.fwhm10.fsaverage.mgh
>> correctly, so this indicates to me that it might have run out of disk
>> space.  is that the case?
>>
>> to answer the others:
>> 2. not sure
>> 3. you can select discrete can a regular variate along with your main
>> variate.  'nuisance' variates are like any other.
>> 4. depends on the expected 'blob' size
>> 5. the selection of fwhm in qdec corresponds directly with the values
>> selected by qcache (they are one-to-one related, ie the 10mm fwhm values
>> created by qcache are used by the 10mm fwhm selection in qdec).
>>
>> Nick
>>
>>
>>
>> On Mon, 2013-04-15 at 18:38 +0200, Tudor Popescu wrote:
>> > Dear experts,
>> >
>> > Upgrading to 5.2.0 stopped QDEC (specifically, mri_concat) from
>> > misbehaving, and so after running a first whole-brain group cortical
>> > thickness analysis on my structural data, I have some questions:
>> >
>> > 1. After running recon-all with the –qcache flag (i.e. presmoothing),
>> > files of the type lh.thickness.*.mgh were created for all 38 subjects
>> > (19 in each group), however files of the type rh.thickness.*.mgh were
>> > not created for 5 out of the 19 subjects of the first group. Log files
>> > recon-all-status.log and recon-all.log (attached, for one of those 5
>> > subjects) both mention that the process ran on Mar22nd ended with
>> > errors, although I can't quite see what that was
>> >
>> >
>> >
>> > 2. When I take age as a continuous factor (covariate), the list of
>> > clusters in my results look dramatically different from the clusters
>> > that I get for the same contrast ran without the covariate. Why is
>> > that, given that normally adding a covariate very rarely changes the
>> > results by a great deal? Also in my case, I had quite a narrow (and
>> > well-balanced between the groups) age range!
>> >
>> >
>> >
>> > 3. I know that discrete factors cannot be taken as nuisance factors,
>> > but it seems they also can't be taken as covariates. How does one,
>> > then, control for the effects of e.g. gender in a group comparison?
>> >
>> >
>> > 4. When should values other than 10 be used for the FWHM parameter of
>> > the smoothing?
>> >
>> >
>> > 5. How come QDEC allows you to set the FWHM parameter, when in fact it
>> > is also set in the qcache stage of recon-all, which precedes QDEC?
>> >
>> >
>> > Many thanks in advance!!
>> >
>> > Tudor
>> > _______________________________________________
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>>
>>
>>
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