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Hi Bianca,

Thanks for sending. You can remove EV5 and EV6, which it seems are for age and sex, but leave EV7, as well as the last one. These two (EV7 and the last) are for confounds within subject, that differ between sessions, whereas EV5 and EV6 are the same for all sessions of any given subject, and their effect is captured by the subject-specific EVs, so they don't need to be included in the model. Just delete them :)

All the best,

Anderson



On 9 July 2014 11:26, SUBSCRIBE FSL Bianca <[log in to unmask]> wrote:
Dear Anderson,

Sorry for not sending the right files.
In the attachment I included the requested files.
Hope these are helpful.

Concerning the suggestion made below --> I am not completely sure whether I understand it correctly. Do you mean that cavirates should be included in the lower level feat?

Thanks a lot,

Bianca

PhD-student

Department of Child and Adolescent Psychiatry, Curium-LUMC

Brain and Development Lab, Faculty of Social Science, Leiden University

 

Curium-LUMC

Endegeesterstraatweg 27

2342 AK Oegstgeest

 

+31 (0)71 527 3892

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Van: FSL - FMRIB's Software Library [[log in to unmask]] namens Anderson M. Winkler [[log in to unmask]]
Verzonden: woensdag 9 juli 2014 11:51

Aan: [log in to unmask]
Onderwerp: Re: [FSL] longitudinal resting state analysis: 3 measurements x 2 group

PS: Btw, there's no need to include age, sex, or any other EV that varies for each subject. These are already accounted for by the subject-specific EVs. Only include as nuisance EVs that vary within subject (if any).



On 9 July 2014 10:47, Anderson M. Winkler <[log in to unmask]> wrote:
Hi Bianca,
Sorry, but these figures don't help. Could you send the .png files that Glm saves? Thanks.
All the best,
Anderson


On 9 July 2014 10:34, SUBSCRIBE FSL Bianca <[log in to unmask]> wrote:
Dear Anderson,

Sorry for forgetting the attachment. The problem I mentioned before was solved by replacing the (,) with a (.).
However, now something else goes wrong and it would be great if you can give me some advice.

I setup the complet model but get an error when I am trying to run the model (see attachment) --> at least one EV is close to a linear combination of the other …

The efficiency matrix indicates that some of my variables are related to each other (probably the covariates (age, gender and number of fd's) and the voxel dependent EV (grey matter).

In total there are 49 EV's --> EV 1-4 represent the two groups and the three measurements, EV 5-7 are the covariates and EV 49 is the voxel dependent EV.

The problem is not only caused by EV49 --> when leaving out this EV the error message still appears.

I read something about orthoganalisation on the mailing list, but I am not sure whether that is the solution for this problem.

All help is very appreciated.

Bianca


Van: FSL - FMRIB's Software Library [[log in to unmask]] namens Anderson M. Winkler [[log in to unmask]]
Verzonden: dinsdag 8 juli 2014 13:24

Aan: [log in to unmask]
Onderwerp: Re: [FSL] longitudinal resting state analysis: 3 measurements x 2 group

Hi Bianca,
Did you mean to send an attachment? Nothing came... but the message suggests that in your C1, it's currently all zeros...
All the best,
Anderson