Great, will do that - thank you very much for your help!

Psychiatric Services University of Bern (UPD) University Hospital of Psychiatry Division of Systems Neuroscience of Psychopathology Translational Research Center Dr. Martina Papmeyer, Postdoctoral Fellow Bolligenstr. 111, CH-3000 Bern 60 Tel: ++41 0(31) 930 9599, Fax: ++41 0(31) 930 9961 Mail: Martina.Papmeyer@puk.unibe.ch www.puk.unibe.ch

________________________________________ Von: freesurfer-bounces@nmr.mgh.harvard.edu [freesurfer-bounces@nmr.mgh.harvard.edu]" im Auftrag von "Douglas N Greve [greve@nmr.mgh.harvard.edu] Gesendet: Freitag, 5. August 2016 17:18 An: freesurfer@nmr.mgh.harvard.edu Betreff: Re: [Freesurfer] Spearman correlation in FreeSurfer

We don't have a spearman analysis in FS. You can load the data into matlab and do it, something like

ymri = MRIread('yourdata.mgh'); y = fast_vol2mat(ymri); % y is now a matrix that is nsubjects by nvertices % Do spearman analysis on each vertex sp = yourspearman(y,X); % sp should be a 1xnvertices matrix spmri = ymri; spmri.vol = fast_mat2vol(sp,spmri.volsize); MRIwrite(spmri,'spearman.mgz');

On 08/05/2016 10:20 AM, martina.papmeyer@puk.unibe.ch wrote:

Dear FS experts

I would like to examine associations between cortical thickness and sum scores of a scale (ordinal scale). Accordingly, I would need to conduct Spearman rather than Pearson correlation analyses. I found the following post to this email list, indicating that the GLM model in FS is basically a generalization of Pearson: https://mail.nmr.mgh.harvard.edu/pipermail/freesurfer/2009-January/009320.ht...

Since the post is from 2009, I would kindly like to ask if there is currently any way to conduct a Spearman correlation based analysis in FS or if there will be a way in the near future?

Thank you very much for your kind help!

All best wishes, Martina

Psychiatric Services University of Bern (UPD) *University Hospital of Psychiatry* Division of Systems Neuroscience of Psychopathology Translational Research Center Dr. Martina Papmeyer, Postdoctoral Fellow Bolligenstr. 111, CH-3000 Bern 60 Tel: ++41 0(31) 930 9599, Fax: ++41 0(31) 930 9961 Mail: Martina.Papmeyer@puk.unibe.ch www.puk.unibe.ch

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