Reply-To: | | [log in to unmask][log in to unmask] > > > > > > > > *From:* SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] *On > Behalf Of *Priya Aggarwal > *Sent:* January-07-16 12:59 AM > *To:* [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]> 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 > [log in to unmask] > > > > > -----Original Message----- > From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] On > Behalf Of Priya Aggarwal > Sent: January-06-16 12:18 PM > To: [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 EsñÚ36, |