Thank you for the quick reply. So essentially your recommendation is to use 
FEAT for the subject level analyses (levels 1 and 2) and PALM for the group 
analyses (level 3). Is that right?


Unfortunately I will not be able to attend this year, but I look forward to 
seeing those examples afterward.


Thank you,

Michael

________________________________
From: Burgess, Gregory <[email protected]>
Sent: Thursday, August 4, 2016 10:05:47 AM
To: Michael F.W. Dreyfuss
Cc: [email protected]
Subject: Re: [HCP-Users] PALM for Cifti data

PALM isn’t intended to replace the level 1 (timeseries) analysis. Permutation 
testing doesn’t handle the autocorrelated timeseries appropriately, because 
time points are not truly exchangeable.



It should be possible to do a repeated measures analysis in PALM (treating 
acitvation estimates from each run as repeated measures). However, the easiest 
use would be to use the output of the level 2 analyses as inputs to a simple 
group-level random effects analysis.



As an aside, if you’re attending the 2016 HCP Course in Boston 
(https://urldefense.proofpoint.com/v2/url?u=https-3A__www.humanconnectome.org_courses_2016_exploring-2Dthe-2Dhuman-2Dconnectome.php&d=DQIGaQ&c=lb62iw4YL4RFalcE2hQUQealT9-RXrryqt9KZX2qu2s&r=rPclmYysc_z1plf99IoNsmxWf1JolkKMmL6bXnYFSwg&m=f522JxvwVVfhjK8FuJh8M_y_NVR2c6KtnEBhDXM9mVo&s=rduAtqYT7Im5F6ssw1vH--GekVqzWTKfS7c0ZBo1EOg&e=
 ), you will be able to go through a practical session on this! (We hope to 
release the practicals to the public after the course, but that will likely 
take some time to implement.)



--Greg



____________________________________________________________________

Greg Burgess, Ph.D.

Staff Scientist, Human Connectome Project

Washington University School of Medicine

Department of Psychiatry

Phone: 314-362-7864

Email: [email protected]



> On Aug 4, 2016, at 8:47 AM, Michael F.W. Dreyfuss <[email protected]> 
> wrote:

>

> Hi, I am trying to adapt palm into my analysis scripts upon your 
> recommendation and I have a few questions:

>

> 1) Does this function essentially like FEAT/film_gls? That is, should I be 
> running PALM for level 1 (run), level 2 (subject) and level 3 (group) 
> analyses, or just at one of these levels?

>

> 2) Are there any examples available of how I can work palm in place of 
> film_gls in existing HCP processing scripts? I'm thinking of lines like the 
> following:

>

>   #Run film_gls on subcortical volume data

>   film_gls --rn=${FEATDir}/SubcorticalVolumeStats --sa --ms=5 
> -in=${FEATDir}/${LevelOnefMRIName}_AtlasSubcortical"$TemporalFilterString""$SmoothingString".nii.gz
>  --pd="$DesignMatrix" --con=${DesignContrasts} --fcon=${DesignfContrasts} 
> --thr=1 --mode=volumetric

>   rm 
> ${FEATDir}/${LevelOnefMRIName}_AtlasSubcortical"$TemporalFilterString""$SmoothingString".nii.gz

>

> 3) Can I simply use the same design files produces by feat_model from my fsf 
> files? Such as done at the line:

>

> feat_model ${FEATDir}/design ${ResultsFolder}/${LevelOnefMRIName}/${Confound}

>

> 4) For motion, is it recommended to you detrended regressors on non-detrended 
> regressors?

>

> Sorry for all the questions but I am finding few examples available of how 
> this is implemented practically.

>

> Thank you,

> Michael Dreyfuss

> MD-PhD Student

> Weill Cornell Medical College

> _______________________________________________

> HCP-Users mailing list

> [email protected]

> https://urldefense.proofpoint.com/v2/url?u=http-3A__lists.humanconnectome.org_mailman_listinfo_hcp-2Dusers&d=DQIGaQ&c=lb62iw4YL4RFalcE2hQUQealT9-RXrryqt9KZX2qu2s&r=rPclmYysc_z1plf99IoNsmxWf1JolkKMmL6bXnYFSwg&m=f522JxvwVVfhjK8FuJh8M_y_NVR2c6KtnEBhDXM9mVo&s=8-kM3d9NIuXk4DnyKq-H8gg3iihdinoRpdJHXUfRGU8&e=





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