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Thank you for this information!

I have one query. What is the meaning of mean time series in Y that you have mentioned? Is it time series after subtracting mean?

Thanks & regards,
Priya 

On Sat, Jan 9, 2016 at 1:20 AM, Guillaume Flandin <[log in to unmask]> wrote:
Dear Priya,

just to add that if Y contains a mean fMRI time series and X is a matrix
of confounds then you can compute:

% residual forming matrix:
R = eye(size(X,1)) - X*pinv(X);
% residuals:
r = R * Y;

A related function in SPM would be spm_ancova.m.

Best regards,
Guillaume.


On 08/01/16 03:48, Priya Aggarwal wrote:
> Thank you so much! this code is very useful...:)
>
> On Thu, Jan 7, 2016 at 9:40 PM, <[log in to unmask]
> <mailto:[log in to unmask]>> wrote:
>
>     The stats toolbox has a regress function. The neural network toolbox
>     has a function regression, which I think is not as good as you would
>     need to extract residuals on your own. ____
>
>     __ __
>
>     I attached a function I wrote for this, which also removed a 3^rd
>     order poly from the data. It needs CSF and WM masks in nii files,
>     and was really specifically written for one data set of mine, but
>     you are free to steal any code if it is helpful. I certainly won’t
>     work out of the box on anything though, it was a one-study-use
>     function.  : )____
>
>     __ __
>
>     __ __
>
>     Colin Hawco, PhD____
>
>     Neuranalysis Consulting____
>
>     Neuroimaging analysis and consultation____
>
>     www.neuranalysis.com <http://www.neuranalysis.com>____
>
>     [log in to unmask] <mailto:[log in to unmask]>____
>
>     __ __
>
>     __ __
>
>     __ __
>
>     *From:*SPM (Statistical Parametric Mapping)
>     [mailto:[log in to unmask] <mailto:[log in to unmask]>] *On Behalf
>     Of *Priya Aggarwal
>     *Sent:* January-07-16 12:59 AM
>     *To:* [log in to unmask] <mailto:[log in to unmask]>
>     *Subject:* Re: [SPM] linear regression of cofounds____
>
>     __ __
>
>     Thank you for this information!____
>
>     __ __
>
>     I would like to use matlab for removing cofounds. Is there any
>     inbuild command for running regression in matlab.____
>
>     __ __
>
>     Thanks,____
>
>     Priya____
>
>     __ __
>
>     On Thu, Jan 7, 2016 at 12:41 AM, <[log in to unmask]
>     <mailto:[log in to unmask]>> wrote:____
>
>     You have a few options. You can download an existing Matlab toolbox,
>     such as the Conn toolbox, which has some of this functionality built in.
>
>     Personally I tend to code these things myself. You can grab the
>     nifti toolbox for Matlab (off NITRICS), which will allow you to load
>     your images as Matlab variables (I find it a bit easier to use than
>     SPM's functions).
>
>     Then loop through voxels, run regress in matlab on the time series,
>     and save the residuals into a new data structure.
>
>     If you want to do a really good job removing motion effects, I would
>     suggest using the Pythagorean transform of the motion parameters
>     (Damion Faire did some good work on this), of if you are more
>     ambitious use a voxel-specific set of regressors as done by Ted
>     Satterthwaite
>
>     http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3811142/
>
>     Which really seems to make a difference in removing motion effects,
>     especially for analysis between groups where motion may differ, a
>     major confound in most analyses.
>
>     Good luck!
>
>     Colin Hawco, PhD
>     Neuranalysis Consulting
>     Neuroimaging analysis and consultation
>     www.neuranalysis.com <http://www.neuranalysis.com>
>     [log in to unmask] <mailto:[log in to unmask]>____
>
>
>
>
>     -----Original Message-----
>     From: SPM (Statistical Parametric Mapping)
>     [mailto:[log in to unmask] <mailto:[log in to unmask]>] On Behalf Of
>     Priya Aggarwal
>     Sent: January-06-16 12:18 PM
>     To: [log in to unmask] <mailto:[log in to unmask]>
>     Subject: [SPM] linear regression of cofounds
>
>     Hi everyone,
>
>     I want to regress out various cofounds (such as realignment
>     parameters and its derivative, white matter signal etc.)  from my
>     regional mean fMRI time series. This linear regression is essential
>     step in resting state fMRI functional connectivity analysis.
>
>     Can anyone please help me how can i do it?
>
>     Thank you for this help!
>
>     regards,
>     Priya____
>
>
>
>     ____
>
>     __ __
>
>     -- ____
>
>     Thanks and Warm Regards,____
>
>     __ __
>
>     Priya Aggarwal____
>
>     Indraprastha Institute of Information Technology, Delhi (IIIT-D)____
>
>     Okhla Industrial Estate,Phase III
>     (Near Govind Puri Metro Station)
>     New Delhi, India - 110020____
>
>
>
>
> --
> Thanks and Warm Regards,
>
> Priya Aggarwal
> Indraprastha Institute of Information Technology, Delhi (IIIT-D)
> Okhla Industrial Estate,Phase III
> (Near Govind Puri Metro Station)
> New Delhi, India - 110020

--
Guillaume Flandin, PhD
Wellcome Trust Centre for Neuroimaging
University College London
12 Queen Square
London WC1N 3BG



--
Thanks and Warm Regards,

Priya Aggarwal
Indraprastha Institute of Information TechnologyDelhi (IIIT-D)
Okhla Industrial Estate,Phase III
(Near Govind Puri Metro Station)
New Delhi, India - 110020