Hi
nope, I'm actually referring to feeding (first-level if you like) ICA
maps (one per subject) into a second level GLM. This you can do a
single or multiple groups.
cheers
Christian
On 15 Feb 2007, at 18:34, Dost Ongur wrote:
> Hello all,
> Like Christina below, I'd like to choose a component of interest from
> multiple subjects, then do group statistics for the component.
> As I understand it, Christian's reply below is about a "first level"
> analysis solution - not in the GLM sense but in the FEAT
> implementation
> sense. Is there a way to run a "higher level" analysis with these
> components, e.g. comparing two groups of subjects?
> Thanks,
> Dost
>
>
>>> I also have a couple of questions relating to a mistake I made.
>>> Let me preface my questions with the fact that I am rather abysmal
>>> at math
>>> and I am playing with this on my own. It seems to me that if you
>>> can create
>>> a spatially normalized z-map of a given component, you should be
>>> able to
>>> determine your component of interest for each subject, and then
>>> perform
>>> group statistics on these z-maps in a regular GLM analysis.
>>>
>>
>> Yep, you can simply concatenate all the volumes from your individual
>> ICA runs and then run Feat on this:
>>
>> avwmerge outfile map1 map2 ... mapN
--
Christian F. Beckmann
Oxford University Centre for Functional
Magnetic Resonance Imaging of the Brain,
John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
Email: [log in to unmask] - http://www.fmrib.ox.ac.uk/~beckmann/
Phone: +44(0)1865 222551 Fax: +44(0)1865 222717
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