Hi Jim,
For de-noising to work you need subject-specific spatial maps and time
courses. You can get them quite easily by regressing the subject
specific data sets against the melodic_IC file and then re-regressing
the same data set against the output from the first regression:
(i) fsl_glm -i filtered_func_X -d group_melodic_IC -o timecourses_X
(ii) fsl_glm -i filtered_func_X -d timecourses_X -o maps_X
After this you can simply follow the normal melodic instructions and
use timecourses_X and maps_X for each data set X
hth
Christian
On 11 Nov 2008, at 20:18, James Porter wrote:
> Hello-
>
> On the Melodic instructions page there are clear instructions on how
> to denoise a functional volume at the single-subject single-scan
> level. However, if one wants to denoise a group-wise data set after
> running tensor-ICA, is there an equivalent procedure?
>
> --
> ---------
> Jim Porter
> Graduate Student
> Clinical Science & Psychopathology Research
> University of Minnesota
_______________________________________________
Christian F. Beckmann, DPhil
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