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Hi Christian,

I think that could do the trick. To be clearer, I am interested in the time
course of subregions within the network reflecting the contribution of that
network rather than the network as a whole.

Best,

George

2015-09-20 2:06 GMT+02:00 Christian F. Beckmann <[log in to unmask]>:

> Hi
>
> not sure what precisely you are after but you could use the N-1 time
> courses you are not interested in , regress these out of the
> filtered_func_data and then you’re left with the voxel-wise residual
> temporal dynamics….
>
> hth
> Christian
>
>
> > On 19 Sep 2015, at 15:06, George Chahine <[log in to unmask]> wrote:
> >
> > Dear all,
> >
> > Stage 1 of the dual regression output are the timecourses for each
> component (for each subject). I am assuming this timecourse is a mean of
> voxels within the network after implementing the dual regression approach.
> I am wondering if it's possible to get voxel-based timecourse: the time
> course of each voxel for each component in the whole brain after
> implementing dual regression. This will probably mean I will need to do the
> analysis without implementing the dual regression script. If so, how I
> should proceed?
> >
> > Thanks in advance for your help,
> >
> > George
>