Hi Rutger,
nope, not easily - unless you're willing to perform the entire
analysis on the power spectra rather than the original time courses.
You could create a cosine basis set of the given frequency and add
these as confound regressors in the GLM, though.
hth
Christian
______
On 28 Jun 2008, at 10:10, Rutger Goekoop wrote:
> Dear Christian,
>
> Would it be possible to use an fslscript to filter out a particular
> frequency from the power spectrum of a 4D timeseries, say, a 0.41 Hz
> noise
> artefact?
>
> Cheers, Rutger.
>
> -----Original Message-----
> From: FSL - FMRIB's Software Library [mailto:[log in to unmask]]On
> Behalf Of Christian F. Beckmann
> Sent: Friday, June 27, 2008 10:51 PM
> To: [log in to unmask]
> Subject: Re: [FSL] TICA methods question
>
>
> Hi Christina,
>
> In that paper the analysis was performed on the power-specral density
> of the FMRI time series. You can try using fslpspec to do the
> transformation, though this might be very slow on your system as the
> current version is based on very un-efficient code. We've fixed this
> issue for the next release version, so it might be worth waiting for
> this instead. Alternatively, you can do this in matlab.
> hth
> Christian
>
> On 27 Jun 2008, at 15:57, Christina Hugenschmidt wrote:
>
>> Hi All,
>>
>> I posted this last week, but was hoping someone could help me out. I
>> am
>> interested in doing a TICA analysis like the one in the Cerebral
>> Cortex
>> Damoiseaux 2007 paper. It is my understanding from reading the paper
>> and
>> the supporting material online that the data need first to be Fourier
>> transformed, and that this was not automatically done as part of the
>> TICA
>> process. I was wondering if someone could please tell me the
>> methodology
>> for doing that, such as what software program was used to transform
>> the
>> data and what files were then input into the analysis? I apologize
>> if this
>> is an obvious sort of question - it is just something I have not done
>> before and I would like to make sure it is done correctly.
>>
>> Thanks for any help!
>> Christina
>
>
> --
> Mijn Postvak In wordt beschermd door SPAMfighter.
> 1588 spam-mails zijn er tot op heden geblokkeerd.
> Download de gratis SPAMfighter via deze link: http://www.spamfighter.com/lnl
|