Hi - the latest version should run in the foreground - unless you are
using a cluster setup like SGE?
Cheers.
On 26 May 2009, at 12:52, Alex Fornito wrote:
> I see. Thanks.
>
> This may seem a stupid question, but I have now generated separate
> design.fsf files for each subject and tried to run feat on each .fsf
> using a simple loop; e.g.,
>
> SUBS=`cat SubjectList.txt`
> for S in $SUBS
> do
> feat ${S}_design.fsf;
> done
>
> However, the feat binary seems to set ALL the analyses running in
> the background, instead of running them in sequential order. That
> is, if SUBS contains 10 subjects, all 10 subjects’ are set running
> near-simultaneously, which really slows the system down.
>
> Is there anyway to get feat to run sequentially, one subject at a
> time, using a loop for the command line?
>
> Thanks again,
> Alex
>
>
>
> On 25/05/2009 16:55, "Eugene Duff" <[log in to unmask]> wrote:
>
>> Hi Alex
>>
>> 2009/5/25 Alex Fornito <[log in to unmask]>
>>> Hi all,
>>> I am trying to perform a seed-based corrrelation analysis of
>>> resting-state
>>> fMRI data. I have been trying to set-up the first level analysis
>>> in a pilot
>>> sample using the gui. I'm assuming that the timecourse of my seed
>>> region
>>> should be entered as the EV, with convolution turned off.
>>> However, the gui only allows me to enter 1 text file even though I
>>> have 10
>>> subjects' data loaded in. As I have one unique regressor per
>>> subject (i.e.,
>>> each individual's seed timecourse), I need to enter one text file
>>> per
>>> subject. Is there any way to do this through the gui, or should I
>>> just run
>>> the analysis for one person and use the resulting script?
>> Yes, you'll need to run them separately (using the same template
>> design file adjusted for each ).
>>
>>>
>>>
>>> In addition, do you have any recommendations re: how the regressor
>>> values
>>> should be scaled, given that I also have a number of confound EV's
>>> in the
>>> model (e.g., motion parameters, white matter, csf, global signal
>>> timeseries,
>>> etc.)?
>>>
>> The scaling of your regressors has no influence on the modelling.
>> It is only important that EVs that are being contrasted against
>> each other are scaled consistently.
>> Cheers,
>> Eugene
>>> Thanks for your help,
>>> Alex
>>
>>
>
> --
>
> Alex Fornito
> CJ Martin Post-Doctoral Fellow
> Brain Mapping Unit
> Department of Psychiatry
> University of Cambridge
> Downing Site
> Downing St, Cambridge
> UK CB2 3EB
>
> Email: [log in to unmask]
> Phone: +44 (0) 1223 764670
> Fax: +44 (0) 1223 336581
>
> Australian Details:
>
> Melbourne Neuropsychiatry Centre
> National Neuroscience Facility
> Levels 1 & 2, Alan Gilbert Building
> 161 Barry St
> Carlton South 3053
> Victoria, Australia
>
> Email: [log in to unmask]
> Phone: +61 3 8344 1861
> Fax: +61 3 9348 0469
>
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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
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