Hi - yes IIRC it's only the demeaning that is important - the scaling of the
regressors makes no difference to the output from the deconfounding.
Normalising SD is a "sane" step in such processing in general, and sometimes is
of value (depending on what outputs one is interested in wrt the
Hi Matt,
I’ve been using a matlab command similar to the one you gave to regress/remove
timeseries values from our data, based on code from the ICAFIX script
fix_3_clean.m. Glad to hear that’s what you suggest! Quick question though:
before regressing out ICA component timeseries values, the
Date: Thursday, January 24, 2019 at 3:05 PM
To: Leonardo Tozzi , "hcp-users@humanconnectome.org"
Subject: Re: [HCP-Users] Regress confounds out of CIFTIs
We do this in matlab. It is not necessary to loop, just use proper matrix
math. For example:
newdtseries = dtseries - (demean
We do this in matlab. It is not necessary to loop, just use proper matrix
math. For example:
newdtseries = dtseries - (demean(regressor) * (pinv(demean(regressor)) *
dtseries'))’;
Where demean(regressor) removes the mean of each regressor.
Matt.
From:
