Dear David and Christian,
Thank you very much for the feedback and help.
We will then continue using FIX and use FEAT for our seed-based analyses.
All the best
Heidi
================================================
Dr. Heidi Jacobs
Postdoc researcher
Faculty of Health, Medicine and Life Sciences
School for Mental Health and Neurosciences
Division Cognitive Neuropsychiatry and Clinical Neurosciences
Alzheimer Center Limburg
[log in to unmask]
www.maastrichtuniversity.nl
www.heidijacobs.nl
Dr. Tanslaan 12, 6229 ET Maastricht
P.O. Box 616, 6200 MD Maastricht, The Netherlands
T +31 43 38 84 090 F +31 43 38 84 092
================================================
________________________________________
Van: FSL - FMRIB's Software Library [[log in to unmask]] namens Christian F. Beckmann [[log in to unmask]]
Verzonden: woensdag 15 januari 2014 7:47
Aan: [log in to unmask]
Onderwerp: Re: [FSL] Can I do a seed-based with FIX and dual regression?
Hi,
Just to add to David's response: Dual regression in the broader sense implements 'multiple and distributed seed partial correlation analysis'. This contains simple seed analysis as a subset, e.g. using - instead of the more typical gICA output maps - a mask of the seed location of interest and maybe a mask of CSF/WM in order to get those confounds. The current version does not allow for additional confound regressors (e.g. motion regressors) but this will change in the next iteration.
Indeed, using FIXed data is advisable.
Hth,
Christian
On 12 Jan 2014, at 19:14, David V. Smith <[log in to unmask]> wrote:
> Hi Heidi,
>
> I think this depends on your precise question. If you're only interested in a specific part of the PCC, then I think you'd want to do a seed-based analysis through FEAT. Alternatively, if you're interested in using the ICA to identify subregions of the PCC and then examining connectivity with those subregions, you could use a variant of the dual regression analysis (cf. http://www.ncbi.nlm.nih.gov/pubmed/22219283).
>
> You could use the denoised (FIX) data in either approach.
>
> Cheers,
> David
>
>
> On Jan 12, 2014, at 12:47 PM, Jacobs H (NP) wrote:
>
>> Hi FSL-team!
>>
>> This is a repost, as I am still wondering if these are sound thoughts.
>>
>> I have a question on doing a seed-based resting state analysis, as I am specifically interested in a subpart of the posterior cingulate cortex.
>>
>> To denoise the data, I ran FIX and checked that all the noisy components are removed.
>> I now want to do a seed-based analyses on the cleaned data and thought that maybe I could do this via the dual regression script.
>> I could create my seed on the MNI template and use that for the dual regression. With randomise I could then correlate it with the other voxels of the brain.
>> Or should I use FEAT instead?
>>
>> Can I use the dual regression for this?
>>
>> Thank you very much.
>>
>> Best wishes
>> Heidi
>>
>> ================================================
>> Dr. Heidi Jacobs
>> Postdoc researcher
>> Faculty of Health, Medicine and Life Sciences
>> School for Mental Health and Neurosciences
>> Division Cognitive Neuropsychiatry and Clinical Neurosciences
>> Alzheimer Center Limburg
>> [log in to unmask]
>> www.maastrichtuniversity.nl
>> www.heidijacobs.nl
>>
>> Dr. Tanslaan 12, 6229 ET Maastricht
>> P.O. Box 616, 6200 MD Maastricht, The Netherlands
>> T +31 43 38 84 090 F +31 43 38 84 092
>> ================================================
>
> --------------------------------------------
> David V. Smith, Ph.D.
> Postdoctoral Fellow, Delgado Lab
> Department of Psychology
> Rutgers University
> Newark, NJ 07102
> --------------------------------------------
>
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