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Hi Aser, You simply explain that there is both a linear and quadratic effects in the same voxels for your PM. I would not try to explain anything more about the effects. I would definitely not say one explains more variance, especially with orthogonalization. Best Regards, Donald McLaren, PhD On Wed, Jan 3, 2018 at 12:44 PM, fmri2013 <[log in to unmask]> wrote: > Thanks Demi. Yes I read this paper but still I think they do not explain a > situation where a voxel is shown in both PMs and and how to explain this > and which one is assigned to which. > > > > > Sent from my Samsung Galaxy smartphone. > > -------- Original message -------- > From: Remi gau <[log in to unmask]> > Date: 03/01/2018 10:20 (GMT+00:00) > To: [log in to unmask] > Subject: Re: [SPM] PM orthognalization > > Hey, > > I usually point to that paper by Mumford, Poline and Poldrack if you > have orthogonality related questions: > > http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0126255 > > Hope it helps > > @+ > > Remi > > > On 03/01/2018 11:13, Volkmar Glauche wrote: > > Hi Aser, > > > > as Donald already said, the orthogonalized regressors do not share > variance. However, there is no reason why only one of them should show an > effect in a particular voxel. It all depends on the nature of the > dependency between measured signal and modelled design. > > > > Best regards > > > > Volkmar > >